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 the show. 5 00:00:08,880 --> 00:00:10,760 Speaker 1: This is the only place where you can find honest 6 00:00:10,760 --> 00:00:13,239 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 00:00:14,720 --> 00:00:17,080 Speaker 2: So if that is something that's important to you, please 9 00:00:17,120 --> 00:00:19,599 Speaker 2: go to Breakingpoints dot com. Become a member today and 10 00:00:19,640 --> 00:00:22,800 Speaker 2: you'll get access to our full shows, unedited, ad free, 11 00:00:22,800 --> 00:00:25,600 Speaker 2: and all put together for you every morning in your inbox. 12 00:00:25,680 --> 00:00:27,560 Speaker 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 --> 00:00:33,800 Speaker 1: dot com. 15 00:00:33,840 --> 00:00:36,560 Speaker 2: All right, let's go ahead and move on to these 16 00:00:36,680 --> 00:00:41,080 Speaker 2: updates with regard to the hype bombing suspect who has 17 00:00:41,080 --> 00:00:44,400 Speaker 2: now been apprehended by the FBI. So you guys covered 18 00:00:44,400 --> 00:00:46,720 Speaker 2: this on Friday, but there were some updates that happened 19 00:00:46,760 --> 00:00:49,120 Speaker 2: on Friday that we wanted to make sure to get 20 00:00:49,159 --> 00:00:51,279 Speaker 2: in here as well. So let's put d one up 21 00:00:51,280 --> 00:00:55,240 Speaker 2: on the screen. And you guys probably know this, like 22 00:00:56,160 --> 00:00:59,320 Speaker 2: this pipe bomber has been a real fixation on the right. 23 00:01:00,120 --> 00:01:03,360 Speaker 2: Understand why because it's like, okay, this was a series 24 00:01:03,400 --> 00:01:06,600 Speaker 2: that like pipe bombs were placed outside the RNC and 25 00:01:06,640 --> 00:01:09,520 Speaker 2: the DNC, and this just never we just never solved 26 00:01:09,520 --> 00:01:12,000 Speaker 2: this case. Like really, in this age of mass surveillance, 27 00:01:12,000 --> 00:01:14,560 Speaker 2: we can never freaking figure this out. 28 00:01:13,440 --> 00:01:14,720 Speaker 3: Oh what happening here? 29 00:01:14,840 --> 00:01:17,280 Speaker 2: Yeah on Capitol hillth and Kamala Harris was going in 30 00:01:17,319 --> 00:01:19,680 Speaker 2: the dance and we never figured this out. So in 31 00:01:19,720 --> 00:01:23,160 Speaker 2: any case, they apprehend this guy, and the initial thing 32 00:01:23,160 --> 00:01:26,760 Speaker 2: that was put out is he was an anarchist. Okay, 33 00:01:26,840 --> 00:01:29,440 Speaker 2: well now they're saying during interviews with the FBI, the 34 00:01:29,520 --> 00:01:34,600 Speaker 2: suspect told investigators he believed the twenty twenty election was stolen, 35 00:01:35,120 --> 00:01:38,319 Speaker 2: providing perhaps the first indication of a possible motive for 36 00:01:38,400 --> 00:01:41,600 Speaker 2: the bomb's place near the DNC and the RNC headquarters. 37 00:01:41,959 --> 00:01:46,080 Speaker 2: So basically, it looks, according to this interview in this report, 38 00:01:46,480 --> 00:01:48,800 Speaker 2: that he was a stop the steel guy. And the 39 00:01:48,880 --> 00:01:51,520 Speaker 2: reason I give this crudence is because this is not 40 00:01:51,800 --> 00:01:53,040 Speaker 2: what like a cash Betel. 41 00:01:53,240 --> 00:01:55,120 Speaker 4: FBI would want him to. 42 00:01:55,080 --> 00:01:58,000 Speaker 2: Say that his motive is right this And that's why 43 00:01:58,040 --> 00:02:00,840 Speaker 2: I think when the government or any source says something 44 00:02:00,840 --> 00:02:03,640 Speaker 2: that is sort of against their interests, you can give 45 00:02:03,640 --> 00:02:06,200 Speaker 2: it more credence, not to say you shouldn't be still 46 00:02:06,200 --> 00:02:09,480 Speaker 2: step skeptical in the narrative whatever, that's like your responsibility 47 00:02:09,480 --> 00:02:12,079 Speaker 2: to ask questions and question the government, especially when they're 48 00:02:12,080 --> 00:02:14,680 Speaker 2: making claims. But if it's a clean that goes against 49 00:02:14,760 --> 00:02:17,760 Speaker 2: their parts and ideological interests, I do think that that 50 00:02:18,000 --> 00:02:20,600 Speaker 2: is worth giving more credence than something that just like 51 00:02:20,720 --> 00:02:23,480 Speaker 2: fits really neatly with what they would want this narrative 52 00:02:23,560 --> 00:02:25,800 Speaker 2: to be. So anyway, I apparently they brought this guy 53 00:02:25,840 --> 00:02:30,000 Speaker 2: in and Pierro Janine Pierrot is saying like, oh, he 54 00:02:30,080 --> 00:02:31,040 Speaker 2: was an equal opportunity. 55 00:02:31,040 --> 00:02:31,960 Speaker 4: He hated both parties. 56 00:02:32,000 --> 00:02:34,040 Speaker 2: That may also be the case, but in any case, 57 00:02:34,080 --> 00:02:37,560 Speaker 2: he at least bought into these stop the steal narratives. 58 00:02:37,720 --> 00:02:40,400 Speaker 5: Yeah, the story is deeply weird, and I have all 59 00:02:40,480 --> 00:02:44,160 Speaker 5: kinds of skepticism about the story period. But just on 60 00:02:44,200 --> 00:02:49,240 Speaker 5: this note, Kendlanian right away, who is very tethered to 61 00:02:49,880 --> 00:02:52,720 Speaker 5: kind of like deep state for lack of a better word, 62 00:02:52,840 --> 00:02:53,600 Speaker 5: people who are. 63 00:02:53,440 --> 00:02:54,760 Speaker 3: Like careers at the FBI. 64 00:02:54,960 --> 00:02:58,120 Speaker 5: Basically, he's I forget who called him fusion ken with 65 00:02:58,240 --> 00:02:59,919 Speaker 5: us because he was reporting so much on the Fusion 66 00:03:00,040 --> 00:03:00,840 Speaker 5: GPS stuff. 67 00:03:01,080 --> 00:03:01,560 Speaker 3: Maybe that's a. 68 00:03:01,560 --> 00:03:05,600 Speaker 5: Glenn greenwaldism back in the Russia collusion days. But he 69 00:03:05,680 --> 00:03:08,680 Speaker 5: reported right away before the suspect was named, but when 70 00:03:08,680 --> 00:03:11,200 Speaker 5: we knew that there had been an arrest, that he 71 00:03:11,360 --> 00:03:15,680 Speaker 5: had quote anarchist leaning, anarchist leanings, and that was sourced 72 00:03:15,680 --> 00:03:20,359 Speaker 5: to two people with knowledge. And now Cash batalent And and 73 00:03:20,320 --> 00:03:22,800 Speaker 5: Bongino are getting asked about all of this. They're getting 74 00:03:22,840 --> 00:03:24,640 Speaker 5: asked about the fact that this guy worked for his 75 00:03:24,760 --> 00:03:29,640 Speaker 5: dad's bail bond company that worked with Benjamin Crump, very 76 00:03:29,800 --> 00:03:33,600 Speaker 5: you know, ideological attorney from the left as they were 77 00:03:33,600 --> 00:03:38,960 Speaker 5: bailing out immigrants in jail. And they're not going much further. 78 00:03:39,200 --> 00:03:42,160 Speaker 5: And now we get this that he's also stopped to steal, 79 00:03:42,800 --> 00:03:45,880 Speaker 5: and Patalent Bongino are kind of punting on it and saying, 80 00:03:45,880 --> 00:03:47,920 Speaker 5: we don't want to interfere in the legal process. So 81 00:03:47,960 --> 00:03:50,000 Speaker 5: I think Bongino has said this is chapter one of 82 00:03:50,040 --> 00:03:51,520 Speaker 5: a ten to twenty chapter book. 83 00:03:52,160 --> 00:03:54,960 Speaker 3: And so just over the last five days, everyone's. 84 00:03:54,560 --> 00:03:58,400 Speaker 5: Like, well, so what's actually going on right now is 85 00:03:58,560 --> 00:04:04,000 Speaker 5: what is actually happening with Brian Cole who was discovered 86 00:04:04,720 --> 00:04:09,240 Speaker 5: seemingly out of nowhere with information that Patalan Bongino said 87 00:04:09,360 --> 00:04:12,480 Speaker 5: existed at the FBI for years. And if you read 88 00:04:12,520 --> 00:04:17,240 Speaker 5: through the affidavit, they're essentially connecting the dots between phone records, 89 00:04:18,000 --> 00:04:23,440 Speaker 5: license plates, records purchases, hardware purchases, so pipe end caps, 90 00:04:23,839 --> 00:04:26,080 Speaker 5: things that are really specific, wires, that sort of thing. 91 00:04:26,520 --> 00:04:30,280 Speaker 5: Also though, that were bought after January sixth, So the 92 00:04:30,360 --> 00:04:33,240 Speaker 5: affidavit list out all of these purchases, a couple of 93 00:04:33,240 --> 00:04:36,520 Speaker 5: them that go into January late January, after January sixth. 94 00:04:36,520 --> 00:04:38,719 Speaker 3: So it's a very very strange. 95 00:04:38,720 --> 00:04:40,680 Speaker 5: The entire story right now is strange, and it could 96 00:04:40,680 --> 00:04:44,200 Speaker 5: be cleared up fairly quickly if the FBI opens up 97 00:04:44,240 --> 00:04:48,040 Speaker 5: and explain some of these inconsistencies and just you know, 98 00:04:48,160 --> 00:04:51,240 Speaker 5: question marks. But right now, I mean there's just such 99 00:04:51,240 --> 00:04:55,119 Speaker 5: a vacuum of clear explanations. It's like, what the hell 100 00:04:55,720 --> 00:04:56,880 Speaker 5: is the story supposed to be? 101 00:04:57,200 --> 00:05:00,440 Speaker 2: Yeah, well, and if we think about a motive and why, 102 00:05:00,480 --> 00:05:02,559 Speaker 2: it would make sense if you're a stop the steal 103 00:05:02,640 --> 00:05:05,920 Speaker 2: person to you know, plan a bomb, both of the 104 00:05:06,000 --> 00:05:08,960 Speaker 2: DNC and the RNC. Like the DNC part, Okay, that's obvious, right, 105 00:05:09,080 --> 00:05:11,320 Speaker 2: you're you know, you're mad that the election was stolen, 106 00:05:11,440 --> 00:05:12,919 Speaker 2: you think they were complicit whatever. 107 00:05:13,240 --> 00:05:14,560 Speaker 4: But I mean there was a lot. 108 00:05:14,360 --> 00:05:18,839 Speaker 2: Of upset too at the mainstream Republican Party in a 109 00:05:18,880 --> 00:05:21,880 Speaker 2: sense that like they weren't doing enough to go along with, 110 00:05:22,120 --> 00:05:24,599 Speaker 2: you know, to just quote unquote stop the steal and 111 00:05:24,640 --> 00:05:27,640 Speaker 2: to go along with Trump's election lies and delusions. 112 00:05:28,040 --> 00:05:30,120 Speaker 4: So it's it does. 113 00:05:29,960 --> 00:05:32,640 Speaker 2: Make a level of sense that if that is your motivation, 114 00:05:33,320 --> 00:05:36,159 Speaker 2: you would be going after both the DNC and the 115 00:05:36,279 --> 00:05:40,600 Speaker 2: RNC and just generally looking to cause fear and chaos 116 00:05:40,640 --> 00:05:44,720 Speaker 2: on that particular day. Another, Uh, I don't know if 117 00:05:44,720 --> 00:05:47,320 Speaker 2: you could call it funny, but whatever you want to 118 00:05:47,360 --> 00:05:51,320 Speaker 2: call this ironic, Yeah, we'll call it amusing. 119 00:05:51,400 --> 00:05:52,919 Speaker 4: Put D two up on the screen. 120 00:05:53,320 --> 00:05:58,080 Speaker 2: Element of this is it's possible that with Trump's very 121 00:05:58,120 --> 00:06:02,400 Speaker 2: broad pardoning of the J six rioters, that he may 122 00:06:02,400 --> 00:06:08,040 Speaker 2: have accidentally also pardoned this guy. So this says mister Trump, 123 00:06:08,040 --> 00:06:09,960 Speaker 2: in one of his first official acts after returning to 124 00:06:09,960 --> 00:06:12,359 Speaker 2: the White House this year, issued a grand clemency to 125 00:06:12,400 --> 00:06:15,520 Speaker 2: the nearly sixteen hundred rioters charging connection with the Capitol attack. 126 00:06:15,800 --> 00:06:21,400 Speaker 2: His clemency proclamation was extraordinarily broad, covering all defendants accused 127 00:06:21,640 --> 00:06:26,200 Speaker 2: or convicted of quote offenses related to events that occurred 128 00:06:26,240 --> 00:06:28,919 Speaker 2: at or near the US Capital on January sixth, twenty 129 00:06:28,960 --> 00:06:32,200 Speaker 2: twenty one, at or near it is possible defense lawyers 130 00:06:32,240 --> 00:06:34,240 Speaker 2: will ultimately try to argue that the placing of the 131 00:06:34,279 --> 00:06:38,160 Speaker 2: pipe bombs should also be covered by mister Trump's proclamation. 132 00:06:39,080 --> 00:06:41,520 Speaker 2: I'm not a lawyer, but I mean it seems like 133 00:06:41,800 --> 00:06:45,760 Speaker 2: they could definitely make that case because offenses related to event. 134 00:06:45,760 --> 00:06:48,360 Speaker 2: I mean, it was certainly related to the events. It 135 00:06:48,480 --> 00:06:51,960 Speaker 2: certainly occurred at or near the US capital. It was 136 00:06:52,000 --> 00:06:56,920 Speaker 2: on January sixth, So I don't know. I mean, maybe technically, 137 00:06:56,960 --> 00:06:59,479 Speaker 2: did he actually place the bombs on January fifth. 138 00:06:59,279 --> 00:07:01,799 Speaker 5: Yes, but I think that might still be covered because 139 00:07:01,800 --> 00:07:04,360 Speaker 5: it's add or neared. I mean, they were discovered on 140 00:07:04,440 --> 00:07:07,120 Speaker 5: January six with timers that I bet are going to 141 00:07:07,160 --> 00:07:09,400 Speaker 5: be argued. I mean, that's another very strange part of this. 142 00:07:09,480 --> 00:07:12,440 Speaker 5: It looks like one hour. I mean, if people haven't 143 00:07:12,440 --> 00:07:14,440 Speaker 5: seen the pictures of the bomb, I keep telling everybody 144 00:07:14,440 --> 00:07:16,160 Speaker 5: of the pipe bombs. I keep telling people to google 145 00:07:16,160 --> 00:07:19,200 Speaker 5: them because they are the most cartoonish, looking like looney 146 00:07:19,280 --> 00:07:22,840 Speaker 5: tunes as devices, where they had kitchen timers strapped like 147 00:07:22,880 --> 00:07:27,800 Speaker 5: literal oven timers strapped to these pipes, and with like 148 00:07:27,840 --> 00:07:30,440 Speaker 5: the wires on the outside and all of that, and 149 00:07:30,520 --> 00:07:33,560 Speaker 5: so these look like one hour timers. So are the 150 00:07:33,600 --> 00:07:37,000 Speaker 5: timers being controlled remotely to detonate on January sixth. That 151 00:07:37,040 --> 00:07:40,080 Speaker 5: could be a pretty crucial question because if the administration 152 00:07:40,160 --> 00:07:43,400 Speaker 5: wants to put screws to this guy, they're going to 153 00:07:43,440 --> 00:07:47,720 Speaker 5: want to say that these devices were created, were viable. 154 00:07:47,760 --> 00:07:49,960 Speaker 5: We've already seen them hinting at that for January sixth, 155 00:07:50,320 --> 00:07:53,200 Speaker 5: so it might not be a wiggle room on the date. Actually, 156 00:07:53,280 --> 00:07:55,360 Speaker 5: if the date is the problem, because it seems like 157 00:07:55,360 --> 00:07:58,880 Speaker 5: what they're trying to insist is that January six these 158 00:07:58,920 --> 00:08:02,640 Speaker 5: were intent to disrupt the process. 159 00:08:03,280 --> 00:08:06,640 Speaker 2: Yeah, so I don't know, that's an interesting one. We'll 160 00:08:06,680 --> 00:08:08,520 Speaker 2: definitely continue to follow those developments. 161 00:08:08,520 --> 00:08:08,800 Speaker 4: Emily. 162 00:08:08,840 --> 00:08:10,840 Speaker 2: Can you talk a little bit about some of the 163 00:08:10,840 --> 00:08:12,960 Speaker 2: theories that have been percolating on the right and how 164 00:08:12,960 --> 00:08:14,800 Speaker 2: the right is responding to these developments. 165 00:08:14,880 --> 00:08:17,280 Speaker 5: Yeah, let's put D three on the screen. So this 166 00:08:17,360 --> 00:08:19,720 Speaker 5: is from an account called at four five nine Crimes, 167 00:08:19,760 --> 00:08:21,560 Speaker 5: and this is where you're definitely starting to see the 168 00:08:21,840 --> 00:08:25,400 Speaker 5: anti deep state right split into two. So on the 169 00:08:25,400 --> 00:08:27,560 Speaker 5: one hand, you have people like Julie Kelly who have 170 00:08:27,640 --> 00:08:30,880 Speaker 5: covered this story really closely from the MAGA perspective for 171 00:08:30,920 --> 00:08:34,520 Speaker 5: a long time, and does seem to think that Cash 172 00:08:34,559 --> 00:08:37,560 Speaker 5: and Dan have the right guy. Then, on the other hand, 173 00:08:38,440 --> 00:08:42,880 Speaker 5: you have some other more skeptical folks. I mean, Thomas 174 00:08:42,880 --> 00:08:45,480 Speaker 5: Massey has already insisted he's not buying the story. This 175 00:08:45,600 --> 00:08:47,600 Speaker 5: thread that we have up on the screen now, it's 176 00:08:47,600 --> 00:08:49,679 Speaker 5: called the five year fuse. It's not even this thread, 177 00:08:49,679 --> 00:08:52,320 Speaker 5: it's a published article on X. You can do that 178 00:08:52,440 --> 00:08:57,240 Speaker 5: now very long that casts doubt on the official story 179 00:08:57,280 --> 00:09:00,920 Speaker 5: that Brian Cole is the man in question, and Kyle 180 00:09:00,960 --> 00:09:04,240 Speaker 5: Saraff and others still seem to be pretty set on 181 00:09:04,280 --> 00:09:09,320 Speaker 5: the idea actually that the person the Blaze named and 182 00:09:09,360 --> 00:09:12,440 Speaker 5: then retracted the report about this is D four. We 183 00:09:12,440 --> 00:09:14,680 Speaker 5: can go ahead put this up on the screen. Some 184 00:09:14,760 --> 00:09:18,520 Speaker 5: people seem to be still pretty serious about and this 185 00:09:18,640 --> 00:09:20,360 Speaker 5: was in the four five nine article we just had 186 00:09:20,400 --> 00:09:22,800 Speaker 5: on the screen too, that the person that Blaze named 187 00:09:22,840 --> 00:09:26,760 Speaker 5: and then retracted the article naming them, that that person 188 00:09:27,600 --> 00:09:33,480 Speaker 5: was or is still in their opinion, the likelier suspect. 189 00:09:33,040 --> 00:09:35,920 Speaker 3: And that Cole is a patsy. So that's where this 190 00:09:36,080 --> 00:09:38,360 Speaker 3: is going. I don't know. 191 00:09:38,440 --> 00:09:40,720 Speaker 5: I mean, Christal, I honestly have trying to reserve my 192 00:09:40,840 --> 00:09:45,240 Speaker 5: judgment in this entire case because the FBI is continuing 193 00:09:45,240 --> 00:09:47,120 Speaker 5: to say they don't want to interfere in the legal process. 194 00:09:47,160 --> 00:09:49,360 Speaker 5: They don't want to taint Jerry Pools or whatever, and 195 00:09:49,880 --> 00:09:51,760 Speaker 5: isn't giving us a lot of information about what's actually 196 00:09:51,800 --> 00:09:52,040 Speaker 5: going on. 197 00:09:52,080 --> 00:09:53,359 Speaker 3: It sounds like Cole is cooperating. 198 00:09:54,080 --> 00:09:56,520 Speaker 5: Patel and Bongino have said they've talked to him, they've 199 00:09:56,559 --> 00:09:59,960 Speaker 5: interviewed him. They're so sure that he's the right guy. 200 00:10:00,080 --> 00:10:07,480 Speaker 5: I mean, what I've soft theory, I think somebody definitely 201 00:10:07,480 --> 00:10:09,720 Speaker 5: planted that story with the Blaze, because I've gone back 202 00:10:09,760 --> 00:10:12,320 Speaker 5: and read it a couple of times, and I mean 203 00:10:12,640 --> 00:10:14,280 Speaker 5: to say, somebody within the government. 204 00:10:14,400 --> 00:10:16,319 Speaker 3: It zeems to me planted that story with the Blaze, 205 00:10:16,600 --> 00:10:17,880 Speaker 3: which is a really weird thing to do. 206 00:10:18,800 --> 00:10:23,040 Speaker 5: Obviously to name a specific person who also, by the way, 207 00:10:23,040 --> 00:10:27,200 Speaker 5: it had FBI outside the house next to their house 208 00:10:27,720 --> 00:10:30,160 Speaker 5: when the Blaze was scoping out the house before the reporting, 209 00:10:30,520 --> 00:10:33,680 Speaker 5: which again just it could mean a million different things, 210 00:10:33,920 --> 00:10:36,560 Speaker 5: but it does seem to me that there's something very 211 00:10:36,600 --> 00:10:40,480 Speaker 5: fishy happening with some faction of people, whether it's at 212 00:10:40,480 --> 00:10:45,120 Speaker 5: the FBI or elsewhere, who were trying to deflect, divert 213 00:10:45,400 --> 00:10:50,040 Speaker 5: or pin this person knowing that another person was about 214 00:10:50,040 --> 00:10:52,040 Speaker 5: to be found. It could be the tickling the wire 215 00:10:52,080 --> 00:10:54,640 Speaker 5: approach where they dangled that to the Blaze to see 216 00:10:54,640 --> 00:10:59,000 Speaker 5: how Brian Cole reacted, because the story of that, the 217 00:10:59,000 --> 00:11:01,160 Speaker 5: Blaze story popped right when they said they had a 218 00:11:01,200 --> 00:11:02,920 Speaker 5: break in the case, so four to five weeks ago, 219 00:11:03,040 --> 00:11:05,880 Speaker 5: the timeline matches up exactly. So maybe they were trying 220 00:11:05,920 --> 00:11:07,840 Speaker 5: to plant a story in the media to see how 221 00:11:07,840 --> 00:11:11,959 Speaker 5: Brian Cole would react. No idea, but there's something really 222 00:11:11,960 --> 00:11:14,040 Speaker 5: strange happening with this story, and I don't know what 223 00:11:14,080 --> 00:11:17,160 Speaker 5: it is. I don't want to speculate recklessly, but I 224 00:11:17,200 --> 00:11:18,960 Speaker 5: think clearly if you go back and look at the 225 00:11:18,960 --> 00:11:21,920 Speaker 5: Blaze of sourcing, they had people in the government pointing 226 00:11:21,960 --> 00:11:26,640 Speaker 5: them in the direction of this person at the CIA 227 00:11:26,720 --> 00:11:28,240 Speaker 5: who they've protracted the claim about. 228 00:11:28,400 --> 00:11:29,640 Speaker 3: So weird shit. 229 00:11:29,960 --> 00:11:32,720 Speaker 2: Well, I never put a lot of stock in that, 230 00:11:32,880 --> 00:11:34,840 Speaker 2: even though you know, I've been following this pipe bomber 231 00:11:34,880 --> 00:11:38,400 Speaker 2: thing as well, because it's genuinely like what happened with that, 232 00:11:38,400 --> 00:11:40,320 Speaker 2: that was a significant event and then it just. 233 00:11:40,280 --> 00:11:41,760 Speaker 4: Never got resolved. 234 00:11:42,320 --> 00:11:44,880 Speaker 2: And so I ride the Blaze's thing, and I didn't 235 00:11:44,880 --> 00:11:46,760 Speaker 2: put much stock in it because it was like based 236 00:11:46,800 --> 00:11:49,520 Speaker 2: on like oh a Gate analysis, like her Gate, Matt, 237 00:11:49,559 --> 00:11:52,439 Speaker 2: and like this seems like bullshit, like I'm gonna wait 238 00:11:52,480 --> 00:11:55,240 Speaker 2: on this one and see what transpires. But they did 239 00:11:55,280 --> 00:11:57,520 Speaker 2: have to your point, they claimed to have sources from 240 00:11:57,520 --> 00:11:59,720 Speaker 2: inside the administration that we're also saying, well, this is 241 00:11:59,760 --> 00:12:02,280 Speaker 2: the the lady, which is part of why when they 242 00:12:02,280 --> 00:12:04,720 Speaker 2: were challenged on it, they were so like, no, we 243 00:12:04,800 --> 00:12:07,960 Speaker 2: stand by our reporting. They were very adamant. There's also 244 00:12:08,160 --> 00:12:10,920 Speaker 2: weird tie in with like Tulsi Gabbard and the oposite 245 00:12:11,559 --> 00:12:15,480 Speaker 2: the DNI where they either I don't know if they 246 00:12:15,520 --> 00:12:18,120 Speaker 2: originated this or they wrote up it was very unclear 247 00:12:18,160 --> 00:12:21,480 Speaker 2: from the reporting they just wrote this up the Blazes 248 00:12:21,559 --> 00:12:25,200 Speaker 2: information as like a tip. But in any case, what 249 00:12:25,280 --> 00:12:27,679 Speaker 2: I definitely got out of it is that she and 250 00:12:27,720 --> 00:12:31,120 Speaker 2: her whole team are very much on the ounce. Apparently 251 00:12:31,120 --> 00:12:33,920 Speaker 2: the pissed people off too, because they were looking into 252 00:12:34,160 --> 00:12:36,880 Speaker 2: the Tyler Robinson investigation to see if there was anything 253 00:12:36,920 --> 00:12:38,719 Speaker 2: else there that was being missed. I think there was 254 00:12:38,760 --> 00:12:41,800 Speaker 2: another instance too, where they stuck their noses in and 255 00:12:41,840 --> 00:12:43,640 Speaker 2: the way that the rest of the administration was not 256 00:12:44,040 --> 00:12:46,520 Speaker 2: happy with. But what did you make of that Toulsi 257 00:12:46,559 --> 00:12:47,160 Speaker 2: Gabbard piece. 258 00:12:47,280 --> 00:12:48,280 Speaker 3: Yes, so it's very weird. 259 00:12:49,080 --> 00:12:51,880 Speaker 5: What seems to be the case for media reports the 260 00:12:51,920 --> 00:12:56,080 Speaker 5: claim at least is that the Blaze went to the 261 00:12:56,120 --> 00:12:58,760 Speaker 5: government and maybe the Blaze got a tip from inside 262 00:12:58,800 --> 00:13:01,840 Speaker 5: the DNI, Like that's how circul these stupid intelligence leaks 263 00:13:01,880 --> 00:13:05,679 Speaker 5: can happen sometimes, right, went to the od and I office, 264 00:13:05,760 --> 00:13:10,199 Speaker 5: the Director of National Intelligence Hulsee Gabbard with this idea 265 00:13:10,280 --> 00:13:12,839 Speaker 5: that it was this person. Again, they've retracted the claim 266 00:13:12,960 --> 00:13:15,400 Speaker 5: that currently works at the CIA insecurity at the time 267 00:13:15,520 --> 00:13:18,960 Speaker 5: was in Capitol Police and from there the Blaze then 268 00:13:19,520 --> 00:13:21,280 Speaker 5: because the DNI. 269 00:13:21,320 --> 00:13:22,320 Speaker 3: Wrote the memo up. 270 00:13:22,559 --> 00:13:24,360 Speaker 5: The Blaze then was able to report the story because 271 00:13:24,360 --> 00:13:26,520 Speaker 5: they reported on the DNI memo, which gives you a 272 00:13:26,559 --> 00:13:29,840 Speaker 5: hook to say, this is something that exists in the government. 273 00:13:29,920 --> 00:13:33,520 Speaker 3: It's not just crazy speculation. Right, it's a government. 274 00:13:33,559 --> 00:13:35,360 Speaker 2: But that could have been circular. It could have been 275 00:13:35,440 --> 00:13:37,640 Speaker 2: them putting it to the d and I. The DNI 276 00:13:37,720 --> 00:13:39,760 Speaker 2: writes up a memo, then they're able to report on 277 00:13:39,800 --> 00:13:42,560 Speaker 2: Oh there's a memo at the DNI, So this gives 278 00:13:42,600 --> 00:13:43,920 Speaker 2: us more credence. 279 00:13:43,520 --> 00:13:45,080 Speaker 3: And it can get even crazier than that. 280 00:13:45,600 --> 00:13:48,240 Speaker 5: Meaning, Okay, so this person who again the claim was 281 00:13:48,240 --> 00:13:51,880 Speaker 5: retracted about works at the CIA, worked in Capital Police. 282 00:13:52,280 --> 00:13:55,079 Speaker 3: FBI has been doing this investigation this is the office. 283 00:13:54,800 --> 00:13:58,840 Speaker 5: Of the DN I did another agency plant it with 284 00:13:58,920 --> 00:14:02,320 Speaker 5: the Blaze. The Blaze goes to DNI, the memo gets 285 00:14:02,320 --> 00:14:07,040 Speaker 5: written up, and because DNI is desperate to also look 286 00:14:07,080 --> 00:14:10,719 Speaker 5: like it's solving moving, you know, and getting to the 287 00:14:10,720 --> 00:14:13,280 Speaker 5: bottom of a big MAGA case, something that MEGA is 288 00:14:13,320 --> 00:14:16,000 Speaker 5: really concerned about, they write up the memo. Blaze reports 289 00:14:16,000 --> 00:14:19,080 Speaker 5: on the memo and they were played like a fiddle 290 00:14:19,240 --> 00:14:23,520 Speaker 5: by FBI, CIA or someone else. This stuff like sounds crazy, 291 00:14:23,520 --> 00:14:25,280 Speaker 5: but it does actually happen. A lot of this happened 292 00:14:25,280 --> 00:14:29,400 Speaker 5: with Rusher collusion, So there's something is really off about 293 00:14:29,400 --> 00:14:32,200 Speaker 5: this story. Maybe it'll all be cleared up, but so 294 00:14:32,320 --> 00:14:35,320 Speaker 5: far it's extremely weird, and I think people moving on 295 00:14:35,520 --> 00:14:38,320 Speaker 5: entirely from the Blaze story are probably missing a hint 296 00:14:38,520 --> 00:14:42,880 Speaker 5: as to how the like quote deep State was handling 297 00:14:42,920 --> 00:14:44,840 Speaker 5: this investigation before Cole was arrested. 298 00:14:45,000 --> 00:14:47,120 Speaker 2: Yeah, well, you know, I was sort of skeptical when 299 00:14:47,160 --> 00:14:50,880 Speaker 2: the initial announcement about Cole came out. Yeah, we should say, 300 00:14:51,200 --> 00:14:53,480 Speaker 2: in terms of the evidence they're claiming to have against him, 301 00:14:53,640 --> 00:14:57,200 Speaker 2: they're my understanding three components from what I was reading 302 00:14:57,200 --> 00:15:00,760 Speaker 2: an endeamos. So you've got the the assembling of all 303 00:15:00,760 --> 00:15:03,880 Speaker 2: these parts right that the constituent elements of the pipe 304 00:15:03,920 --> 00:15:09,400 Speaker 2: bombs themselves. Then you have his vehicle is you know, 305 00:15:09,800 --> 00:15:12,240 Speaker 2: in the vicinity at the right time, and then you 306 00:15:12,320 --> 00:15:15,880 Speaker 2: have cell phone pinging in the relevant towers at the 307 00:15:15,920 --> 00:15:19,280 Speaker 2: appropriate points as well. And then I think there's also like, 308 00:15:19,360 --> 00:15:22,560 Speaker 2: you know, a stature analysis. He is I think five 309 00:15:22,640 --> 00:15:24,920 Speaker 2: to six the person that's roughly the same, which is 310 00:15:24,960 --> 00:15:26,760 Speaker 2: why it was credible that maybe is a woman because 311 00:15:26,760 --> 00:15:30,560 Speaker 2: it's a relatively small statue person. So those things all fit, 312 00:15:30,640 --> 00:15:32,520 Speaker 2: and I think there may be some other, you know, piece, 313 00:15:32,600 --> 00:15:34,280 Speaker 2: but those are the big pieces, Okay. I mean that's 314 00:15:34,320 --> 00:15:38,560 Speaker 2: pretty significant in terms of a you know, an evidentiary footprint. 315 00:15:39,800 --> 00:15:43,240 Speaker 2: I became more convinced that this was the guy when 316 00:15:43,400 --> 00:15:45,560 Speaker 2: he told interviewers, Oh, I was you know, I didn't 317 00:15:45,600 --> 00:15:48,280 Speaker 2: believe the Trump election claims because, like I said, that 318 00:15:48,360 --> 00:15:51,720 Speaker 2: goes very much against what they want the storyline to be. 319 00:15:52,360 --> 00:15:55,080 Speaker 2: So if you have a suspect that you are claiming 320 00:15:55,120 --> 00:15:58,000 Speaker 2: to have this evidence on and you have a motive 321 00:15:58,440 --> 00:16:01,200 Speaker 2: that isn't really the motive that they we're hoping for here, 322 00:16:01,800 --> 00:16:05,000 Speaker 2: that to me made it more credible that this is 323 00:16:05,040 --> 00:16:07,920 Speaker 2: in fact the individual because if they were going to 324 00:16:08,000 --> 00:16:10,920 Speaker 2: set it up and like, you know, blame some person 325 00:16:10,920 --> 00:16:14,280 Speaker 2: who's just a patsy and innocent whatever, that is not 326 00:16:14,320 --> 00:16:17,920 Speaker 2: necessarily the storyline that they would want to go with, 327 00:16:18,040 --> 00:16:20,960 Speaker 2: because the whole point is to satisfy Maga here, and 328 00:16:20,960 --> 00:16:23,160 Speaker 2: Maga is definitely not going to be satisfied with someone 329 00:16:23,200 --> 00:16:26,520 Speaker 2: who did this basically to avenge President Trump and to 330 00:16:26,600 --> 00:16:29,120 Speaker 2: buy into his claims that the election was stolen and 331 00:16:29,280 --> 00:16:31,120 Speaker 2: this was a great crime against American people. 332 00:16:31,520 --> 00:16:34,280 Speaker 5: And I also think we should be open to the possibility. 333 00:16:34,280 --> 00:16:36,080 Speaker 5: So his grandmother has already come out in the press 334 00:16:36,080 --> 00:16:38,480 Speaker 5: and this just hurts to hear this type of thing, 335 00:16:38,520 --> 00:16:41,680 Speaker 5: and said that she thinks he's on the spectrum. Yeah, 336 00:16:41,720 --> 00:16:44,960 Speaker 5: so I think I'm also open to the possibility that 337 00:16:45,080 --> 00:16:49,640 Speaker 5: what we're seeing is a disgusting possibly I'm not saying 338 00:16:49,640 --> 00:16:55,040 Speaker 5: this for sure, but possibly exploitation. It's very easy, well 339 00:16:55,080 --> 00:16:57,640 Speaker 5: relatively easy, to get people in the spectrum to commit 340 00:16:57,680 --> 00:17:00,080 Speaker 5: to crimes that they didn't do in confessions. This is 341 00:17:00,360 --> 00:17:05,280 Speaker 5: a documented phenomena, and so it's it's possible there's something 342 00:17:05,359 --> 00:17:08,840 Speaker 5: going on with that too. I do not know, keeping 343 00:17:09,080 --> 00:17:10,840 Speaker 5: it open to that also, CRYSTIALLL just want to mention 344 00:17:10,920 --> 00:17:14,240 Speaker 5: the big picture I think always worth worth keeping in mind, 345 00:17:14,359 --> 00:17:14,880 Speaker 5: which is. 346 00:17:14,800 --> 00:17:20,840 Speaker 3: That the implication of a lot of the conspiracy theories. 347 00:17:20,880 --> 00:17:22,919 Speaker 5: And I don't say that pejoratively, because again I'm kind 348 00:17:22,960 --> 00:17:24,760 Speaker 5: of open to the idea that there's something weird going 349 00:17:24,800 --> 00:17:28,000 Speaker 5: on with this, but the implication is that the FBI 350 00:17:29,040 --> 00:17:34,040 Speaker 5: under Trump, by the way, had some role in whipping 351 00:17:34,119 --> 00:17:36,720 Speaker 5: up the violence on January sixth. 352 00:17:36,760 --> 00:17:39,360 Speaker 3: That you know, either resources were diverted over. 353 00:17:39,200 --> 00:17:41,440 Speaker 5: To the RNC and the DNC at a critical time 354 00:17:41,840 --> 00:17:45,720 Speaker 5: that is actually true, or that in a way that 355 00:17:45,840 --> 00:17:48,840 Speaker 5: let security sort of fall apart and people run into 356 00:17:48,840 --> 00:17:51,679 Speaker 5: the Capitol and create a pretext for mass surveillance of MAGA, 357 00:17:51,760 --> 00:17:56,960 Speaker 5: et cetera. Or that this could have possibly been these 358 00:17:57,040 --> 00:17:59,159 Speaker 5: these could have been viable bombs that you know, the 359 00:17:59,200 --> 00:18:01,159 Speaker 5: FBI was planning, not even just as a setup, but 360 00:18:01,240 --> 00:18:03,200 Speaker 5: to do real damage and violence. 361 00:18:03,720 --> 00:18:07,359 Speaker 3: And that sort of thing just worth saying. 362 00:18:07,440 --> 00:18:12,720 Speaker 5: Again, Yes, there were FBI assets at January sixth. 363 00:18:13,160 --> 00:18:14,720 Speaker 3: True, there are a whole lot. 364 00:18:14,640 --> 00:18:17,680 Speaker 2: Of because like half of the oath keepers are fed boys, 365 00:18:18,320 --> 00:18:21,720 Speaker 2: all of these, all of these observations are top to 366 00:18:21,760 --> 00:18:23,399 Speaker 2: bottom chalk full of Feds. 367 00:18:23,640 --> 00:18:26,879 Speaker 5: Yep, I'm reading from the obviously inspector General for a 368 00:18:27,040 --> 00:18:29,879 Speaker 5: just apartment right now, twenty six FBI confidential human sources 369 00:18:29,880 --> 00:18:32,040 Speaker 5: were in Washington, DC on January six in connection with 370 00:18:32,080 --> 00:18:35,160 Speaker 5: the events of January six is from Michael Horowitz. So, yes, 371 00:18:35,240 --> 00:18:39,000 Speaker 5: that did happen a lot of Another important point is 372 00:18:39,200 --> 00:18:42,479 Speaker 5: a lot of regular mega people were caught up on 373 00:18:42,640 --> 00:18:43,280 Speaker 5: January sixth. 374 00:18:43,520 --> 00:18:44,600 Speaker 3: Saw it with my own eyes. 375 00:18:44,680 --> 00:18:47,200 Speaker 5: It was a lot of people who have since come 376 00:18:47,240 --> 00:18:52,320 Speaker 5: and said talked about how they got caught up in 377 00:18:52,560 --> 00:18:56,359 Speaker 5: violence and other Now that's not everyone, but some people 378 00:18:56,400 --> 00:18:59,800 Speaker 5: really did. And there were you know, average maga folks 379 00:18:59,840 --> 00:19:02,919 Speaker 5: who got caught up and did awful, horrible things on 380 00:19:03,040 --> 00:19:05,199 Speaker 5: January sixth, and again they've since talked about it. So 381 00:19:06,200 --> 00:19:09,600 Speaker 5: the FED surrection quote fed surrection narrative, to the extent 382 00:19:09,720 --> 00:19:13,040 Speaker 5: this pipe bomb thing could play into it. I'm open 383 00:19:13,119 --> 00:19:15,400 Speaker 5: to the idea that these were planted as some type 384 00:19:15,400 --> 00:19:19,439 Speaker 5: of op, but I also just want to say, like 385 00:19:19,880 --> 00:19:22,800 Speaker 5: that was not just a quote fed direction. There were 386 00:19:22,840 --> 00:19:24,879 Speaker 5: a lot of regular people who got caught up in it, 387 00:19:24,920 --> 00:19:30,600 Speaker 5: and I think it I think it diminishes the sort 388 00:19:30,600 --> 00:19:33,760 Speaker 5: of lessons from January sixth in a way that I 389 00:19:33,760 --> 00:19:36,879 Speaker 5: think people should be really honest about to pretend that 390 00:19:37,000 --> 00:19:38,840 Speaker 5: it was all I mean, some of it. I'm curious 391 00:19:38,920 --> 00:19:40,720 Speaker 5: if it was whipped up by FEDS. I think that's 392 00:19:40,840 --> 00:19:43,080 Speaker 5: essential information. We don't have much, and I think that's 393 00:19:43,680 --> 00:19:46,359 Speaker 5: probably possible. But at the same time, there were a 394 00:19:46,400 --> 00:19:48,119 Speaker 5: lot of average people who got caught up in this, 395 00:19:48,400 --> 00:19:51,679 Speaker 5: and that's I don't think it's I don't think it's 396 00:19:51,720 --> 00:19:52,840 Speaker 5: worth whitewashing that either. 397 00:19:52,960 --> 00:19:56,040 Speaker 2: Yeah, absolutely, I mean from the left, my perspective is 398 00:19:56,080 --> 00:19:58,919 Speaker 2: that you do. I mean, it's without a doubt you 399 00:19:59,000 --> 00:20:02,000 Speaker 2: had all these FED informants and assets within a bunch 400 00:20:02,040 --> 00:20:04,480 Speaker 2: of these organizations who would have been privy to some 401 00:20:04,600 --> 00:20:09,000 Speaker 2: of the planning. But many of those people were also 402 00:20:09,080 --> 00:20:13,120 Speaker 2: sympathetic to the right wing causes, Like even as they're 403 00:20:13,119 --> 00:20:17,120 Speaker 2: FED assets, are also genuinely sympathetic to right wing causes, 404 00:20:17,520 --> 00:20:20,600 Speaker 2: And so I think there was a downplaying of the 405 00:20:20,760 --> 00:20:24,600 Speaker 2: risk even as they were getting intel in that this 406 00:20:24,640 --> 00:20:29,560 Speaker 2: would turn into the violent, chaotic, you know, disaster that 407 00:20:29,600 --> 00:20:32,640 Speaker 2: it ended up being. So that's always been my interest 408 00:20:32,760 --> 00:20:36,000 Speaker 2: in understanding, you know, what they knew and when and 409 00:20:36,119 --> 00:20:40,720 Speaker 2: how many FED like human intel sources were involved and 410 00:20:40,920 --> 00:20:44,640 Speaker 2: were privy to the planning, and if they were there, 411 00:20:44,800 --> 00:20:49,080 Speaker 2: then why wasn't Why weren't the Capitol police more prepared? 412 00:20:49,520 --> 00:20:52,359 Speaker 2: Why weren't there more precautions taken on that day? So 413 00:20:53,040 --> 00:20:55,200 Speaker 2: you know, there's there's that aspect to it as well. 414 00:20:55,240 --> 00:20:57,120 Speaker 2: But in terms of the pipe bonb thing, we'll see 415 00:20:57,160 --> 00:20:59,120 Speaker 2: where it goes. We'll see what other evidence they're able 416 00:20:59,160 --> 00:21:02,000 Speaker 2: to offer you. It'd always be skeptical of government claims, 417 00:21:02,040 --> 00:21:04,280 Speaker 2: but like I said before, the fact it does not 418 00:21:04,400 --> 00:21:07,080 Speaker 2: fit the narrative they would want it to to me 419 00:21:07,200 --> 00:21:11,679 Speaker 2: gave it more credence than, you know, than if it 420 00:21:11,760 --> 00:21:14,439 Speaker 2: was just like very neatly like yeah, oh he was 421 00:21:14,680 --> 00:21:17,359 Speaker 2: he was anti he was actually trans Tifa. I'd be 422 00:21:17,480 --> 00:21:19,800 Speaker 2: like he wrote it on the pipe bombs that he 423 00:21:19,920 --> 00:21:24,200 Speaker 2: was trans Tifa. I'd be like, hmmm, gonna I'm gonna live. 424 00:21:24,359 --> 00:21:26,399 Speaker 2: Let's let's see some more evidence on that one. 425 00:21:26,760 --> 00:21:29,080 Speaker 5: The bottom line on this is that they need to 426 00:21:29,119 --> 00:21:31,840 Speaker 5: tell the full story asap. I get not wanting to 427 00:21:31,840 --> 00:21:34,240 Speaker 5: interview the legal process, and I mean, we've seen our 428 00:21:34,280 --> 00:21:36,320 Speaker 5: government rush to do dumb stuff over and over again 429 00:21:36,320 --> 00:21:39,720 Speaker 5: for public relations purposes. But uh, the story is is 430 00:21:39,840 --> 00:21:41,640 Speaker 5: quite odd. So the more information the better. 431 00:21:41,760 --> 00:21:43,760 Speaker 4: Somebody hates the Blaze apparently. 432 00:21:44,000 --> 00:21:46,680 Speaker 3: Or yeah, yeah, I mean somebody said. 433 00:21:46,480 --> 00:21:48,879 Speaker 2: That somebody hates the Blaze and you know, really screwed 434 00:21:48,920 --> 00:21:51,800 Speaker 2: them over because they look, I mean, this humiliating for 435 00:21:51,920 --> 00:21:57,480 Speaker 2: them that they directly accused this one woman and who 436 00:21:57,560 --> 00:22:01,040 Speaker 2: had an alo like a very easy like here's a. 437 00:22:01,080 --> 00:22:02,760 Speaker 4: Video of me playing with buppies on that day. I 438 00:22:02,760 --> 00:22:03,680 Speaker 4: guess it wasn't. 439 00:22:03,600 --> 00:22:05,720 Speaker 5: Well that I really was not me so sorry, but 440 00:22:05,720 --> 00:22:07,359 Speaker 5: I like, that's another part of the story to me 441 00:22:07,400 --> 00:22:09,600 Speaker 5: that I'm just like, what the they this? You name 442 00:22:09,640 --> 00:22:12,200 Speaker 5: a person who has this who works at the CIA 443 00:22:12,480 --> 00:22:15,479 Speaker 5: and has a literal video at the exact time of 444 00:22:15,520 --> 00:22:18,680 Speaker 5: the bomb plant being planted of her with her dog. Yeah, 445 00:22:18,720 --> 00:22:21,359 Speaker 5: what the like, it's a it's a lot they're asking 446 00:22:21,440 --> 00:22:23,720 Speaker 5: us so far by not filling in the gaps, they're 447 00:22:23,720 --> 00:22:26,960 Speaker 5: asking us to believe a lot. So uh hey, I'm 448 00:22:27,000 --> 00:22:28,600 Speaker 5: open to it. I want to see the information. It's 449 00:22:28,600 --> 00:22:29,639 Speaker 5: a crazy story. 450 00:22:29,720 --> 00:22:31,159 Speaker 2: Yeah, I want to know who's out to get the 451 00:22:31,160 --> 00:22:33,879 Speaker 2: Blaze and I just administration. 452 00:22:33,520 --> 00:22:35,320 Speaker 5: One of the what I think one of the benefits 453 00:22:35,400 --> 00:22:37,119 Speaker 5: of the last like ten plus years is the right 454 00:22:37,160 --> 00:22:42,240 Speaker 5: developing this deep skepticism of uh the like intelligence agencies, 455 00:22:42,240 --> 00:22:46,200 Speaker 5: the intelligence community, which seems to be like not unsurprisingly 456 00:22:46,320 --> 00:22:48,600 Speaker 5: lapsing as they have retaken. 457 00:22:48,240 --> 00:22:49,560 Speaker 3: The intelligence community. 458 00:22:49,760 --> 00:22:52,120 Speaker 5: But I feel like this is just a great surprising 459 00:22:52,480 --> 00:22:57,639 Speaker 5: not I mean, it's a great reminder of why that skepticism. Uh, 460 00:22:57,880 --> 00:23:01,000 Speaker 5: those seeds were planted during Trump one that should be 461 00:23:01,040 --> 00:23:04,280 Speaker 5: continuing to blossom, to blossom into like permanent skepticism of 462 00:23:04,320 --> 00:23:05,320 Speaker 5: these agencies. 463 00:23:08,280 --> 00:23:10,399 Speaker 4: All right, shall we check in with our friend Hillary 464 00:23:10,400 --> 00:23:11,000 Speaker 4: Clinton here? 465 00:23:11,040 --> 00:23:11,639 Speaker 3: Why would we not? 466 00:23:12,560 --> 00:23:14,879 Speaker 4: So? What was this conference? She was that? Some like 467 00:23:14,960 --> 00:23:17,800 Speaker 4: a do security comp security conference. 468 00:23:17,880 --> 00:23:21,320 Speaker 2: Tucker Carlson was also there for reasons I don't really know. 469 00:23:21,840 --> 00:23:25,000 Speaker 5: But in any case, Well, the Global Security Forum in Doha. 470 00:23:25,040 --> 00:23:30,080 Speaker 2: Okay, so she's re emerging the Doha Forum. Okay, sorry, 471 00:23:30,200 --> 00:23:33,399 Speaker 2: Doha Forum. She has re emerged because she wants us 472 00:23:33,440 --> 00:23:36,800 Speaker 2: all to know that we just don't understand what's going 473 00:23:36,800 --> 00:23:39,600 Speaker 2: on with Israel Palestine and that the real problem is 474 00:23:39,640 --> 00:23:43,480 Speaker 2: not Israel murdering mass murdering babies with our support. The 475 00:23:43,520 --> 00:23:46,440 Speaker 2: real problem is TikTok. So she said this, We covered 476 00:23:46,440 --> 00:23:49,920 Speaker 2: it last week. Now she was sort of questioned more 477 00:23:49,920 --> 00:23:52,800 Speaker 2: aggressively questioned on these comments and asked to defend them, 478 00:23:52,840 --> 00:23:54,359 Speaker 2: which she did. Let's take a listen to that. 479 00:23:54,800 --> 00:23:57,760 Speaker 6: I want to talk about you now. You've been in 480 00:23:57,800 --> 00:24:00,800 Speaker 6: the news this past week for some comments you made 481 00:24:00,840 --> 00:24:04,119 Speaker 6: at an event in New York organized by the newspaper 482 00:24:04,280 --> 00:24:06,879 Speaker 6: Israel High m And I'm going to paraphrase here, but 483 00:24:06,960 --> 00:24:10,720 Speaker 6: you said that smart, well educated young Americans are getting 484 00:24:10,720 --> 00:24:13,600 Speaker 6: their news from social media and from TikTok and you 485 00:24:13,680 --> 00:24:16,280 Speaker 6: went on to say that this is how they're learning 486 00:24:16,320 --> 00:24:19,320 Speaker 6: about what happened on October seventh, and then what happened 487 00:24:19,359 --> 00:24:22,480 Speaker 6: in Gaza in the months that followed. And it appears 488 00:24:22,520 --> 00:24:26,160 Speaker 6: that this was a broader lament on your part about 489 00:24:26,320 --> 00:24:31,280 Speaker 6: declining support among Americans for Israel. That comment has generated 490 00:24:31,280 --> 00:24:35,600 Speaker 6: a lot of controversy, and it's led Congressman Rocanna, for example, 491 00:24:36,080 --> 00:24:38,000 Speaker 6: to point out that I don't think the answer is 492 00:24:38,040 --> 00:24:41,399 Speaker 6: to disparage the intelligence of young people. It's been a 493 00:24:41,400 --> 00:24:44,159 Speaker 6: few days now since you've said that. How are you 494 00:24:44,240 --> 00:24:48,160 Speaker 6: reflecting on your words and the controversy around it. 495 00:24:49,119 --> 00:24:53,000 Speaker 7: Well, I think it is a provable fact that most 496 00:24:53,040 --> 00:24:58,520 Speaker 7: Americans and an even bigger percentage of young Americans, get 497 00:24:58,520 --> 00:25:02,440 Speaker 7: their news from social media. If that is controversial, then 498 00:25:02,440 --> 00:25:04,040 Speaker 7: people are not paying attention. 499 00:25:03,800 --> 00:25:05,080 Speaker 6: To How is that a bad thing? 500 00:25:06,400 --> 00:25:08,159 Speaker 7: I don't know if it's a bad thing, but I 501 00:25:08,160 --> 00:25:12,000 Speaker 7: think it's an incomplete We are not going to implement 502 00:25:12,040 --> 00:25:15,600 Speaker 7: the twenty point piece plan or any other piece plan 503 00:25:16,119 --> 00:25:21,480 Speaker 7: unless people come with some sense of historical perspective and 504 00:25:21,640 --> 00:25:25,719 Speaker 7: empathy about how we're going to move people toward what 505 00:25:25,800 --> 00:25:28,720 Speaker 7: I still believe is the only realistic outcome, a two 506 00:25:28,800 --> 00:25:31,560 Speaker 7: state solution. And we're not going to get there if 507 00:25:31,600 --> 00:25:34,400 Speaker 7: people you know, why when they say from the river 508 00:25:34,440 --> 00:25:35,919 Speaker 7: to the sea, and you say what river and what 509 00:25:36,040 --> 00:25:38,919 Speaker 7: sea and they don't know which have personally happened in 510 00:25:39,000 --> 00:25:40,440 Speaker 7: conversations that I've had. 511 00:25:40,320 --> 00:25:44,240 Speaker 6: And I can't gauge how well young people grapple with history, 512 00:25:44,320 --> 00:25:46,919 Speaker 6: but what I can speak to is they're grappling with 513 00:25:46,960 --> 00:25:51,040 Speaker 6: the here and now, and they they are witnessing images 514 00:25:51,160 --> 00:25:54,639 Speaker 6: that are life streamed, that are coming out every day, 515 00:25:55,240 --> 00:25:58,119 Speaker 6: you know. And yes, there is misinformation and disinformation, but 516 00:25:58,200 --> 00:26:00,280 Speaker 6: a lot of it is real. And I think there's 517 00:26:00,320 --> 00:26:03,119 Speaker 6: a genuine anger in the United States and around the 518 00:26:03,160 --> 00:26:07,160 Speaker 6: world that some of that anger is deflected. 519 00:26:08,000 --> 00:26:13,480 Speaker 7: But Robbie, I'm angry about all of the human rights abuses. 520 00:26:13,520 --> 00:26:17,639 Speaker 7: I'm angry about all of the excessive use of force. 521 00:26:18,040 --> 00:26:21,159 Speaker 7: I'm angry about you know, what happened on October seventh 522 00:26:21,160 --> 00:26:24,200 Speaker 7: in Israel and what happened in Gaza. I'm angry about 523 00:26:24,200 --> 00:26:26,920 Speaker 7: what Russia is doing in Ukraine. I'm angry about Sudan. 524 00:26:27,320 --> 00:26:30,280 Speaker 7: I'm angry about the Eastern Congo. I mean, I think 525 00:26:30,359 --> 00:26:35,840 Speaker 7: we should be all looking at the tragedies and the 526 00:26:35,880 --> 00:26:39,919 Speaker 7: conflicts that are bringing about so much suffering and be 527 00:26:40,000 --> 00:26:43,800 Speaker 7: dealing with them. That's why the National Security Strategy is 528 00:26:43,840 --> 00:26:46,520 Speaker 7: not to my liking, because I think the United States 529 00:26:46,560 --> 00:26:50,000 Speaker 7: has an important role in trying to resolve these conflicts 530 00:26:50,080 --> 00:26:53,720 Speaker 7: and alleviate the suffering and give people a chance to 531 00:26:53,800 --> 00:26:57,399 Speaker 7: have peaceful, prosperous lives. That should be our goal, that 532 00:26:57,520 --> 00:27:00,439 Speaker 7: is in America's interests. I don't care where in the 533 00:27:00,480 --> 00:27:05,200 Speaker 7: world you are, so of course, the suffering in Gaza 534 00:27:05,400 --> 00:27:12,679 Speaker 7: is horrific, full stop suffering everywhere is horrific. 535 00:27:13,280 --> 00:27:17,200 Speaker 2: Suffering everywhere is horrific. And I mean she uses a 536 00:27:17,200 --> 00:27:19,600 Speaker 2: lot of tactics there that we've seen deployed before. I mean, 537 00:27:19,640 --> 00:27:22,720 Speaker 2: first of all, just suffering in Gaza. No attribution of blame, 538 00:27:22,760 --> 00:27:25,679 Speaker 2: of course, no attribution of blame on the United States, 539 00:27:25,680 --> 00:27:28,119 Speaker 2: no attribution of blame on Israel's if this is just 540 00:27:28,160 --> 00:27:30,480 Speaker 2: like a natural disaster that occurred in Oh my gosh, 541 00:27:30,520 --> 00:27:33,919 Speaker 2: these poor children, if only someone would do something, but 542 00:27:34,119 --> 00:27:37,680 Speaker 2: no direct assignment of blame. That's one thing, and then 543 00:27:37,720 --> 00:27:40,560 Speaker 2: the other where the other one of well, suffering everywhere 544 00:27:40,640 --> 00:27:45,840 Speaker 2: is horrific with the suggestion, the suggestion always, the subtext 545 00:27:45,920 --> 00:27:48,280 Speaker 2: there always is that, well, you only care about this 546 00:27:48,320 --> 00:27:51,560 Speaker 2: one because you're anti Semitic is basically the subtext there. 547 00:27:51,800 --> 00:27:53,960 Speaker 2: And if you aren't as focused on, you know, other 548 00:27:54,000 --> 00:27:57,119 Speaker 2: suffering other places in the world, it can only be 549 00:27:57,119 --> 00:28:00,360 Speaker 2: because you're anti Semitic. And also an attempt to sort 550 00:28:00,359 --> 00:28:02,760 Speaker 2: of like diffuse and deflect of like, well, of course 551 00:28:02,760 --> 00:28:04,320 Speaker 2: they care about that, but I care about other things 552 00:28:04,359 --> 00:28:06,399 Speaker 2: as well, So let's talk about those other things and 553 00:28:06,440 --> 00:28:08,199 Speaker 2: not so much talk about this one. 554 00:28:08,359 --> 00:28:10,760 Speaker 4: So classic sort of liberal. 555 00:28:10,520 --> 00:28:14,399 Speaker 2: Zionist I would say, deflection tactics. Not to mention the 556 00:28:14,800 --> 00:28:19,000 Speaker 2: you know, original assertion from her in the original comments 557 00:28:19,000 --> 00:28:21,720 Speaker 2: and reasserted here as well that well, it's just complicated. 558 00:28:21,800 --> 00:28:23,119 Speaker 4: You just don't really understand. 559 00:28:23,320 --> 00:28:25,560 Speaker 5: Yeah, well, I mean there's a little bit of an 560 00:28:25,600 --> 00:28:29,920 Speaker 5: irony here in that people who make the argument Clinton 561 00:28:30,000 --> 00:28:33,960 Speaker 5: was just laying out about this being rooted in anti Semitism, 562 00:28:33,960 --> 00:28:35,639 Speaker 5: and the tell being that people are obsessed with this 563 00:28:35,680 --> 00:28:40,120 Speaker 5: particular conflict. You know, people right now are who make 564 00:28:40,120 --> 00:28:43,520 Speaker 5: the argument are very upset about this forum being in 565 00:28:43,640 --> 00:28:48,120 Speaker 5: Doha and Tucker Carlson going and all of these other 566 00:28:48,480 --> 00:28:52,280 Speaker 5: people taking money from Cutter, the United States supporting Cutter. 567 00:28:52,640 --> 00:28:56,320 Speaker 3: Why well, because the United States is involved with Cutter. 568 00:28:56,760 --> 00:29:01,080 Speaker 5: That is the same reason that people are upset, particularly 569 00:29:01,240 --> 00:29:05,600 Speaker 5: about Israel Palestine. It's that they don't like they believe 570 00:29:05,600 --> 00:29:09,640 Speaker 5: as Americans they have a responsibility to have an obligation 571 00:29:10,160 --> 00:29:13,680 Speaker 5: to follow this particular conflict so closely because it is 572 00:29:13,840 --> 00:29:18,040 Speaker 5: so heavily dependent on US involvement. Yeah uh, you know, 573 00:29:18,240 --> 00:29:21,000 Speaker 5: a fifth of you of Israel's annual military budget. That 574 00:29:21,080 --> 00:29:25,920 Speaker 5: might even be an understatement. You know, the the permission 575 00:29:25,960 --> 00:29:29,800 Speaker 5: structure that Yahoo was reliant on, whether it was Biden 576 00:29:30,040 --> 00:29:33,240 Speaker 5: or Trump to continue prosecuting the war like that is 577 00:29:33,320 --> 00:29:37,120 Speaker 5: the reason for the level of attention. And I remember, 578 00:29:37,160 --> 00:29:40,600 Speaker 5: you know, obviously, as somebody who is Christian, the treatment 579 00:29:40,600 --> 00:29:44,280 Speaker 5: of Christians in Nigeria is like horrifying to me. But 580 00:29:44,360 --> 00:29:46,360 Speaker 5: a lot of times that is used by people on 581 00:29:46,400 --> 00:29:49,000 Speaker 5: the right to say, see the anti Semits they don't 582 00:29:49,040 --> 00:29:53,120 Speaker 5: care what's happening to the Christians in Nigeria. It's like 583 00:29:53,200 --> 00:29:55,240 Speaker 5: a couple of months ago, I was like, I'm looking 584 00:29:55,280 --> 00:29:57,320 Speaker 5: it up. I'm going to see how much money, how 585 00:29:57,400 --> 00:29:59,560 Speaker 5: much aid is in one place versus the other. 586 00:29:59,600 --> 00:30:00,640 Speaker 3: It's not close. 587 00:30:00,720 --> 00:30:03,400 Speaker 5: I mean in terms of like percentage of even if 588 00:30:03,440 --> 00:30:07,560 Speaker 5: you look at percentage of animal budgets, what does USAID constitute? 589 00:30:08,280 --> 00:30:10,600 Speaker 5: So it's obvious. I mean, it's just it's that line 590 00:30:10,800 --> 00:30:14,520 Speaker 5: drives me up a wall. Because, of course it's true 591 00:30:14,840 --> 00:30:18,960 Speaker 5: that some anti some anti Semites are completely obsessed with 592 00:30:19,040 --> 00:30:21,480 Speaker 5: Israel and will find any reason to criticize Israel at 593 00:30:21,520 --> 00:30:23,200 Speaker 5: every turn because they're anti Semitic. 594 00:30:23,240 --> 00:30:24,680 Speaker 3: Of course that's true, but to. 595 00:30:24,640 --> 00:30:28,680 Speaker 5: Impugne the motives of people who care about this particular 596 00:30:29,920 --> 00:30:34,719 Speaker 5: conflict because the US has a heavy level of involvement, 597 00:30:34,960 --> 00:30:37,240 Speaker 5: it's the same reason people make the arguments about you. 598 00:30:37,320 --> 00:30:38,480 Speaker 3: I mean, it's just Ukraine, Like. 599 00:30:38,400 --> 00:30:43,200 Speaker 5: It's just all it's sophistry dressed up as a sophistication. 600 00:30:43,240 --> 00:30:45,600 Speaker 5: And by the way, the guy who's doing that interview, 601 00:30:45,960 --> 00:30:47,520 Speaker 5: I was like, wow, I need to look up who 602 00:30:47,560 --> 00:30:48,200 Speaker 5: that was because it was. 603 00:30:48,200 --> 00:30:48,920 Speaker 3: Really well handled. 604 00:30:48,960 --> 00:30:52,720 Speaker 5: That was rabb Agra Wall of foreign politary. I was 605 00:30:52,760 --> 00:30:54,719 Speaker 5: actually just on his podcast and his voice was familiar. 606 00:30:54,760 --> 00:30:56,000 Speaker 3: I was like, I don't that is. 607 00:30:56,400 --> 00:31:01,719 Speaker 5: Fantastic job sticking it to her and saying this is 608 00:31:02,320 --> 00:31:03,760 Speaker 5: different than what you're saying it is. 609 00:31:03,960 --> 00:31:04,920 Speaker 3: Yeah, you said one thing. 610 00:31:04,920 --> 00:31:07,440 Speaker 5: I mean, even asking her about that I thought was 611 00:31:07,480 --> 00:31:09,800 Speaker 5: pretty bold, because she's the type of person that's now 612 00:31:09,840 --> 00:31:14,200 Speaker 5: seen as like an August states. 613 00:31:14,320 --> 00:31:17,880 Speaker 2: Yeah, it's sort of unimpeachable character. Yeah, right, sorts of things. 614 00:31:17,720 --> 00:31:20,600 Speaker 5: Right, people use these opportunities to sort of fawn over her, Yes, 615 00:31:21,000 --> 00:31:21,920 Speaker 5: very deferential. 616 00:31:22,240 --> 00:31:25,200 Speaker 3: Yeah, so I thought that was actually really impressive. 617 00:31:25,560 --> 00:31:28,240 Speaker 2: You know what I've witnessed too, is I mean, first 618 00:31:28,240 --> 00:31:30,520 Speaker 2: of all, to your point, there is just no other 619 00:31:30,560 --> 00:31:34,959 Speaker 2: country that we have a comparable relationship to as Israel. No, like, 620 00:31:35,040 --> 00:31:37,320 Speaker 2: there is just no other country. That is part of 621 00:31:37,360 --> 00:31:39,280 Speaker 2: what makes the Somali memes so funny. 622 00:31:39,440 --> 00:31:40,240 Speaker 4: Yes, right, it's. 623 00:31:40,160 --> 00:31:42,280 Speaker 2: Because they're they're postularly like they have all this influence, 624 00:31:42,280 --> 00:31:44,200 Speaker 2: all this money behind them and a packed back. Of 625 00:31:44,240 --> 00:31:47,080 Speaker 2: course they don't, right, not nearly on the scale. If 626 00:31:47,080 --> 00:31:49,880 Speaker 2: they do nothing like the scale of what Israel has 627 00:31:49,920 --> 00:31:52,800 Speaker 2: in terms of their influence operation here, in terms of 628 00:31:52,840 --> 00:31:56,040 Speaker 2: what has been lockstep bipartisan support for decades that is 629 00:31:56,120 --> 00:32:00,640 Speaker 2: only now coming unraveled. And so there's just nothing comparable 630 00:32:00,720 --> 00:32:03,400 Speaker 2: that you could point to of another country that has 631 00:32:03,640 --> 00:32:08,080 Speaker 2: similar level of influence, similar type relationship as we do 632 00:32:08,280 --> 00:32:09,080 Speaker 2: with this one nation. 633 00:32:09,200 --> 00:32:10,120 Speaker 4: So that's one thing too. 634 00:32:10,360 --> 00:32:12,200 Speaker 2: But you know, I'll tell you as someone on the left, 635 00:32:12,280 --> 00:32:15,280 Speaker 2: what I've witnessed is as people have had their eyes 636 00:32:15,320 --> 00:32:17,520 Speaker 2: open to our malign influence in. 637 00:32:17,600 --> 00:32:20,360 Speaker 4: Terms of, you know, the horrors that are being perpetrated. 638 00:32:19,800 --> 00:32:23,080 Speaker 2: In Gaza, it has made them more open to, Okay, well, 639 00:32:23,360 --> 00:32:26,080 Speaker 2: what is what's going on in Sudan? Because you know, 640 00:32:26,240 --> 00:32:31,600 Speaker 2: with URSAF and this horrific massacres that they're perpetrating, and 641 00:32:31,840 --> 00:32:35,600 Speaker 2: we aren't the ones directly sending those bombs, but our ally, 642 00:32:35,800 --> 00:32:39,320 Speaker 2: the UAE is backing them, and we are certainly in 643 00:32:39,360 --> 00:32:43,200 Speaker 2: a position to put pressure on them to end their 644 00:32:43,200 --> 00:32:46,280 Speaker 2: support of OURSAF. We are certainly in a position to 645 00:32:46,440 --> 00:32:48,960 Speaker 2: use our influencer. And so what I've witnessed isn't that 646 00:32:49,000 --> 00:32:51,360 Speaker 2: people are like, oh, I only care about Gaza the 647 00:32:51,400 --> 00:32:54,360 Speaker 2: exclusion of everything else. In fact, what I've witnessed is 648 00:32:54,440 --> 00:32:58,680 Speaker 2: people sort of that being one area where they go 649 00:32:58,720 --> 00:33:01,320 Speaker 2: in really deep, and that opens their eyes to other 650 00:33:01,440 --> 00:33:04,600 Speaker 2: ways that we're impacting events around the world, and yes, 651 00:33:04,680 --> 00:33:07,680 Speaker 2: other horrors that are being perpetrated as well, and to 652 00:33:07,800 --> 00:33:11,000 Speaker 2: sort of expand their horizons rather than narrowing their focus 653 00:33:11,120 --> 00:33:12,400 Speaker 2: just to this one place. 654 00:33:12,600 --> 00:33:13,160 Speaker 3: What was it? 655 00:33:13,200 --> 00:33:16,200 Speaker 5: I mean, of course, it wasn't anti Semitism that made 656 00:33:16,200 --> 00:33:20,600 Speaker 5: people mad about what was happening in Nicaragua and Al Salvador. 657 00:33:20,600 --> 00:33:23,040 Speaker 5: It was US support, right like in the nineteen eighties, 658 00:33:23,160 --> 00:33:25,360 Speaker 5: it was US support the seventies, the eighties, it was 659 00:33:25,720 --> 00:33:30,040 Speaker 5: literally the very obvious issue of US support for backing death. 660 00:33:29,880 --> 00:33:31,320 Speaker 3: Squads all that sort of thing. 661 00:33:31,480 --> 00:33:36,240 Speaker 5: And again that does I think as far as like that, 662 00:33:36,240 --> 00:33:39,720 Speaker 5: it was a pretty similar side by side of people 663 00:33:39,720 --> 00:33:44,080 Speaker 5: who were furious at this at the US, not because 664 00:33:44,680 --> 00:33:47,680 Speaker 5: they really in every case, it wasn't that people were 665 00:33:47,680 --> 00:33:49,000 Speaker 5: sympathetic to the Sandinistas. 666 00:33:49,040 --> 00:33:50,160 Speaker 3: They were like average Americans. 667 00:33:50,240 --> 00:33:52,880 Speaker 5: Congress said that we could no longer fund it because 668 00:33:52,880 --> 00:33:56,520 Speaker 5: average Americans were like, hey, this is pretty bad, Like, 669 00:33:57,800 --> 00:33:59,720 Speaker 5: you know, they are priests that are being killed by 670 00:33:59,760 --> 00:34:03,640 Speaker 5: people using US weapons and US money and getting US backing. 671 00:34:03,760 --> 00:34:08,560 Speaker 5: So it wasn't just like sand Anista's sympathists who were 672 00:34:08,880 --> 00:34:10,720 Speaker 5: like upset about that. It was people who were upset 673 00:34:10,719 --> 00:34:13,200 Speaker 5: about cruelty backed by US support. 674 00:34:13,320 --> 00:34:17,040 Speaker 4: Yeah, the US past dollar is going to that evil. 675 00:34:16,920 --> 00:34:20,760 Speaker 5: Yes, and so argue against the actual argument. Stop making 676 00:34:20,760 --> 00:34:22,600 Speaker 5: suit up. It's not helping anyone. 677 00:34:22,680 --> 00:34:24,200 Speaker 4: What about this? What about that? 678 00:34:24,440 --> 00:34:28,160 Speaker 2: You don't get it, It's complicated, the problems TikTok, like 679 00:34:28,440 --> 00:34:30,600 Speaker 2: all of this. It just feels so tired at this point, 680 00:34:30,680 --> 00:34:33,479 Speaker 2: I know too and out of at this late date, 681 00:34:33,600 --> 00:34:36,680 Speaker 2: so on a touch, so tired and just really quite pathetic. 682 00:34:36,719 --> 00:34:39,920 Speaker 2: I mean, I think if the biggest thing is, you know, 683 00:34:40,000 --> 00:34:42,840 Speaker 2: Hillary Clinton is not a person without knowledge and skill. 684 00:34:43,280 --> 00:34:45,360 Speaker 2: He's been in the political arena for a lot of 685 00:34:45,480 --> 00:34:49,440 Speaker 2: years at this point. And for her for this to 686 00:34:49,480 --> 00:34:52,160 Speaker 2: be the best that she can do on behalf of 687 00:34:52,600 --> 00:34:56,680 Speaker 2: the Zionist cause, I think shows you how much all 688 00:34:56,760 --> 00:35:00,920 Speaker 2: of their arguments have just been thoroughly discredited, a really destroyed. 689 00:35:01,200 --> 00:35:04,279 Speaker 2: And that's why you see, you know, within the Democratic 690 00:35:04,320 --> 00:35:07,520 Speaker 2: Party support for Israel. I mean, it's dead, it's done, 691 00:35:07,719 --> 00:35:10,120 Speaker 2: it's over, and you're going to see that. You're already 692 00:35:10,160 --> 00:35:13,200 Speaker 2: seeing this playing out in a lot of Democratic primaries 693 00:35:13,280 --> 00:35:15,560 Speaker 2: right now. It is an earthquake within the Democratic Party. 694 00:35:15,600 --> 00:35:19,480 Speaker 2: It's an earthquake among young people in a really bipartisan manner. 695 00:35:19,480 --> 00:35:22,040 Speaker 5: Well, I was just going to say, I mean Hillary 696 00:35:22,080 --> 00:35:25,520 Speaker 5: Clinton is like a seen as a leading figure in 697 00:35:25,560 --> 00:35:28,120 Speaker 5: the Democratic Party, not without reason. I mean, she's the 698 00:35:28,160 --> 00:35:33,799 Speaker 5: presidential nominee ten years ago, and she is so like 699 00:35:34,040 --> 00:35:36,200 Speaker 5: clearly out of touch with where the party is. I mean, 700 00:35:36,480 --> 00:35:40,440 Speaker 5: has she talked to a significant number of young Democrats 701 00:35:40,719 --> 00:35:43,120 Speaker 5: because she's calling them anti Semitic right here, Like she's 702 00:35:43,200 --> 00:35:44,719 Speaker 5: she's calling them anti Semitic. 703 00:35:44,400 --> 00:35:46,439 Speaker 4: Or stupid and stupid yea, yeah, yeah, And. 704 00:35:46,320 --> 00:35:49,719 Speaker 5: It's just such a giant cope rather than actually grappling 705 00:35:49,760 --> 00:35:52,160 Speaker 5: with it's not making their It's not making the situation 706 00:35:52,239 --> 00:35:55,319 Speaker 5: any easier at all. It's like how Republicans use we 707 00:35:55,320 --> 00:35:57,799 Speaker 5: were talking about this earlier in the show Obamacare to 708 00:35:57,880 --> 00:36:01,759 Speaker 5: not cope with healthcare problem. Like people actually want a 709 00:36:01,840 --> 00:36:03,200 Speaker 5: better healthcare system. 710 00:36:03,400 --> 00:36:03,520 Speaker 6: Right. 711 00:36:03,640 --> 00:36:07,360 Speaker 5: You can't just keep saying repeal Obamacare, repeal Obamaca. You 712 00:36:07,440 --> 00:36:09,720 Speaker 5: have to actually deal with their argument. 713 00:36:09,960 --> 00:36:13,280 Speaker 2: Mainstream Democrats are used to these sorts of arguments coming 714 00:36:13,320 --> 00:36:15,160 Speaker 2: at them from like a fringe group. 715 00:36:15,280 --> 00:36:17,920 Speaker 4: And her husband code pink. 716 00:36:18,120 --> 00:36:22,080 Speaker 2: Yeah, her husband, you know, really like pioneered the strategy 717 00:36:22,120 --> 00:36:24,719 Speaker 2: of like punching left right and using that as a 718 00:36:24,760 --> 00:36:27,040 Speaker 2: way to bolster his credibility, and they just have this 719 00:36:27,200 --> 00:36:31,280 Speaker 2: instinct for always doing that, and they haven't realized the way, 720 00:36:31,480 --> 00:36:33,799 Speaker 2: or she hasn't anyway realize the way the ground has 721 00:36:33,840 --> 00:36:36,719 Speaker 2: shifted where it's like, no, this isn't just you know, this. 722 00:36:36,680 --> 00:36:39,000 Speaker 4: Isn't just Bernie supporters or Bernie bros. 723 00:36:39,080 --> 00:36:42,200 Speaker 2: Or fringe lefts or democratics like this is this is 724 00:36:42,280 --> 00:36:45,960 Speaker 2: the entire Democratic Party at this point that agrees with 725 00:36:46,000 --> 00:36:49,560 Speaker 2: this position. And you are in line with maybe maybe 726 00:36:49,600 --> 00:36:53,279 Speaker 2: like ten percent of where the Democratic Party base is 727 00:36:53,360 --> 00:36:56,080 Speaker 2: at this point. So when you're punching left right now, 728 00:36:56,120 --> 00:36:58,240 Speaker 2: you're punching like ninety percent of the party. 729 00:36:58,560 --> 00:37:02,840 Speaker 5: Another good exempt of why that Agrowell question was important 730 00:37:02,880 --> 00:37:05,319 Speaker 5: because if people don't publicly push her on that, she 731 00:37:05,360 --> 00:37:08,000 Speaker 5: doesn't even know. Yeah, I mean like she just attributes 732 00:37:08,000 --> 00:37:11,680 Speaker 5: it all the anti semitis right, idiocy? Right when you 733 00:37:11,719 --> 00:37:13,600 Speaker 5: have like the editor in chief of Foreign Policy doing 734 00:37:13,640 --> 00:37:15,000 Speaker 5: it on stage and it's going to. 735 00:37:14,920 --> 00:37:16,960 Speaker 4: Go viral, Yeah, patronizing. 736 00:37:17,160 --> 00:37:21,279 Speaker 3: Yeah, you have to cope with that, all right. 737 00:37:21,320 --> 00:37:24,480 Speaker 4: Shall we get to Sidney Sweeney here excited about this, Let's. 738 00:37:24,719 --> 00:37:26,480 Speaker 2: F three up on the screen, and then we'll get 739 00:37:26,480 --> 00:37:28,800 Speaker 2: to what is actually a bigger story, but the Sidney 740 00:37:28,840 --> 00:37:30,680 Speaker 2: Sweeney one we're gonna start with because it's more fun. 741 00:37:31,400 --> 00:37:32,560 Speaker 4: In any case, You're. 742 00:37:32,640 --> 00:37:34,360 Speaker 3: Use Sidney Sweeney to talk about anti trust. 743 00:37:34,560 --> 00:37:36,920 Speaker 2: Yeah, that's all right, that's right, and Tim Dillon I 744 00:37:36,920 --> 00:37:38,799 Speaker 2: made that connection earlier as well. 745 00:37:38,560 --> 00:37:39,440 Speaker 4: With the vibe shift. 746 00:37:39,560 --> 00:37:42,560 Speaker 2: Yes, okay, So you guys will remember she did this 747 00:37:42,640 --> 00:37:44,680 Speaker 2: interview who was what was the outlet? It was like 748 00:37:45,000 --> 00:37:48,000 Speaker 2: uh gq right that she sat down with the reason 749 00:37:48,160 --> 00:37:52,200 Speaker 2: of this interview that went super viral, especially on the 750 00:37:52,280 --> 00:37:58,040 Speaker 2: right because she got asked about the eugenics adjacent nature 751 00:37:58,280 --> 00:38:02,000 Speaker 2: of the American Eagle ad that she cut, and she 752 00:38:02,160 --> 00:38:05,040 Speaker 2: said at that point she was like, when I have 753 00:38:05,120 --> 00:38:07,880 Speaker 2: something to say on an issue, you'll hear from me, 754 00:38:08,480 --> 00:38:10,720 Speaker 2: and sort of like shut her down in that moment. 755 00:38:10,760 --> 00:38:12,640 Speaker 4: So I was like, oh, this is amazing, blah blah blah. 756 00:38:12,680 --> 00:38:12,960 Speaker 3: Okay. 757 00:38:13,080 --> 00:38:16,000 Speaker 2: Then her movie that came out totally bombed at the 758 00:38:16,040 --> 00:38:20,040 Speaker 2: box office, the one about a like queer boxer that 759 00:38:20,080 --> 00:38:21,319 Speaker 2: she put on a bunch of weight for. 760 00:38:21,400 --> 00:38:23,040 Speaker 4: It was very sort of like artsy film. Hemsen. 761 00:38:23,080 --> 00:38:24,080 Speaker 2: I don't know if it was good or bad, but 762 00:38:24,120 --> 00:38:25,760 Speaker 2: I know it did very poorly at the box office 763 00:38:25,840 --> 00:38:29,480 Speaker 2: in any case, Now she's talking to People magazine, and 764 00:38:29,520 --> 00:38:31,920 Speaker 2: her tone is a little bit different here, Emily, she says, 765 00:38:32,360 --> 00:38:35,160 Speaker 2: I was honestly surprised by the reaction. I did it 766 00:38:35,200 --> 00:38:38,080 Speaker 2: because I love the genes and love the brand. I 767 00:38:38,239 --> 00:38:41,920 Speaker 2: don't support the views some people chose to connect to 768 00:38:41,960 --> 00:38:44,400 Speaker 2: the campaign. Me being one of those people, I have 769 00:38:44,440 --> 00:38:46,800 Speaker 2: a sign motives and labels. 770 00:38:46,400 --> 00:38:48,720 Speaker 4: To me that just aren't true. 771 00:38:49,200 --> 00:38:53,080 Speaker 2: So she keeps a veg right. She doesn't directly disavow 772 00:38:53,440 --> 00:38:59,640 Speaker 2: like eugenics or MAGA or white nationalism or any of that, 773 00:39:00,200 --> 00:39:01,920 Speaker 2: any of the sort of like broad groups that have 774 00:39:02,120 --> 00:39:05,359 Speaker 2: embraced her. She doesn't directly disavow them, but clearly very 775 00:39:05,360 --> 00:39:08,279 Speaker 2: different tone being struck here and her wanting to, you know, 776 00:39:08,320 --> 00:39:11,239 Speaker 2: sort of clean up what I guess she's she and 777 00:39:11,280 --> 00:39:15,279 Speaker 2: her pr team because all these these actors, like you 778 00:39:15,360 --> 00:39:18,239 Speaker 2: really shouldn't think of them as individual people, you know, 779 00:39:18,280 --> 00:39:18,880 Speaker 2: you should think of. 780 00:39:18,880 --> 00:39:20,839 Speaker 4: Them as like a whole team and a brand. It's 781 00:39:20,880 --> 00:39:21,960 Speaker 4: a business, it's a corporation. 782 00:39:22,000 --> 00:39:23,719 Speaker 3: It's Sidney Sweeney Inc. Exactly. 783 00:39:23,840 --> 00:39:25,600 Speaker 4: And so clearly Sidney Sweeney Inc. 784 00:39:25,680 --> 00:39:28,360 Speaker 2: Decided that this direction was not going all that particularly 785 00:39:28,400 --> 00:39:30,879 Speaker 2: well for her, and there needed to be a recalibration. 786 00:39:31,040 --> 00:39:33,960 Speaker 5: It's so funny because this is given as a statement 787 00:39:34,040 --> 00:39:36,520 Speaker 5: to People magazine. Yes, right, so it's not like she 788 00:39:36,600 --> 00:39:39,160 Speaker 5: put this on Instagram or anything. This is a complete 789 00:39:39,360 --> 00:39:42,120 Speaker 5: like why does it sound like it's not Sidney Sweeney 790 00:39:42,160 --> 00:39:43,640 Speaker 5: because it's not Sydney's. 791 00:39:43,200 --> 00:39:46,800 Speaker 4: Sweet workshopped r yeah statement. 792 00:39:46,960 --> 00:39:49,880 Speaker 5: She goes on to say, this might even be chatchepute. 793 00:39:50,320 --> 00:39:52,439 Speaker 5: Anyone who knows me knows that I'm trying to bring 794 00:39:52,480 --> 00:39:55,480 Speaker 5: people together. I'm against hate and divisiveness. In the past, 795 00:39:55,480 --> 00:39:57,400 Speaker 5: my stance has been to never respond to negative or 796 00:39:57,400 --> 00:39:59,560 Speaker 5: positive press, But recently I have come to realize that 797 00:39:59,560 --> 00:40:02,280 Speaker 5: my silent regarding this issue has only widened the divide, 798 00:40:02,480 --> 00:40:03,240 Speaker 5: not closed it. 799 00:40:04,640 --> 00:40:06,560 Speaker 3: Not yet. Yeah, actually not all. 800 00:40:06,600 --> 00:40:08,319 Speaker 5: Then she goes say, so, I hope this new year 801 00:40:08,360 --> 00:40:10,640 Speaker 5: brings more focus on what connects us instead of what 802 00:40:10,680 --> 00:40:11,319 Speaker 5: divides us. 803 00:40:11,440 --> 00:40:14,440 Speaker 3: I mean, go on a statement to People magazine. 804 00:40:15,200 --> 00:40:18,200 Speaker 5: I don't even know, Like if this were in politics, 805 00:40:18,600 --> 00:40:22,800 Speaker 5: you know, you wouldn't run with the statement as news 806 00:40:22,920 --> 00:40:26,160 Speaker 5: because it's so it's such a pr It's like running 807 00:40:26,160 --> 00:40:27,760 Speaker 5: a press release for Sidney Sweeney. 808 00:40:27,760 --> 00:40:31,040 Speaker 3: Basically to just go with this as a quote exclusive, 809 00:40:31,080 --> 00:40:32,360 Speaker 3: which is what People magazine. 810 00:40:32,360 --> 00:40:35,640 Speaker 5: Did I get it, it's entertainment news, But yes, clearly 811 00:40:35,840 --> 00:40:40,319 Speaker 5: somebody on the team was like Sidney Sweeney with gen Z, 812 00:40:40,480 --> 00:40:43,319 Speaker 5: which is true. Gen Z girls are kind of her 813 00:40:43,800 --> 00:40:47,040 Speaker 5: should be I would imagine her target demo, but. 814 00:40:47,040 --> 00:40:48,080 Speaker 4: I don't think they are. 815 00:40:49,160 --> 00:40:50,399 Speaker 3: Well, I mean, I'm sure it's men. 816 00:40:50,480 --> 00:40:54,680 Speaker 5: But like for selling genes, you would want your value 817 00:40:54,680 --> 00:40:57,400 Speaker 5: to American Eagle is that you're selling women's genes. And 818 00:40:57,440 --> 00:40:58,920 Speaker 5: so if she wants to keep getting deals like the 819 00:40:58,960 --> 00:41:01,960 Speaker 5: American Eagle one, she has to have some appeal with 820 00:41:02,239 --> 00:41:06,960 Speaker 5: younger women, and younger women are like liberal, like increasingly liberal. 821 00:41:07,040 --> 00:41:08,680 Speaker 4: There outside was then die in that fight? 822 00:41:09,040 --> 00:41:10,920 Speaker 3: Oh my god ten times out of ten. 823 00:41:11,040 --> 00:41:13,560 Speaker 5: Yeah, no, Like I literally was just writing a piece 824 00:41:13,600 --> 00:41:17,920 Speaker 5: about this, like young women are They're accelerating to the left, 825 00:41:18,719 --> 00:41:20,520 Speaker 5: and so the vibe shift did not. 826 00:41:20,440 --> 00:41:22,600 Speaker 3: Come for young women. The vibe shift came for young men, 827 00:41:22,880 --> 00:41:23,600 Speaker 3: not young women. 828 00:41:23,719 --> 00:41:26,120 Speaker 5: And so clearly Sidney Sweeney's teams like and I wonder, 829 00:41:26,120 --> 00:41:28,240 Speaker 5: actually if this is influenced at all by American Eagle. 830 00:41:28,800 --> 00:41:32,520 Speaker 5: Middle of Christmas season, Christmas shopping season, people should be asking. 831 00:41:32,239 --> 00:41:33,400 Speaker 3: For the American Egle jeans. 832 00:41:33,760 --> 00:41:37,200 Speaker 5: I definitely got American Egle jeans for Christmas twenty years ago, 833 00:41:38,200 --> 00:41:40,080 Speaker 5: so that I wonder if it has something to do 834 00:41:40,160 --> 00:41:42,040 Speaker 5: with American Eagle sales too. 835 00:41:42,160 --> 00:41:43,040 Speaker 4: Could be, could be? 836 00:41:43,160 --> 00:41:45,640 Speaker 2: I mean, I am curious what kind of factored into this. 837 00:41:45,800 --> 00:41:48,520 Speaker 2: And you know, I mean in terms of her personal views, 838 00:41:48,880 --> 00:41:52,200 Speaker 2: it almost doesn't really matter. Like she did she registered 839 00:41:52,239 --> 00:41:55,040 Speaker 2: as a Republican in Florida, so we know she has 840 00:41:55,600 --> 00:41:58,680 Speaker 2: and recently so like during you know, Trump two point 841 00:41:58,760 --> 00:42:01,799 Speaker 2: zero and mad and the Vibe Shift and whatever, she 842 00:42:01,840 --> 00:42:05,080 Speaker 2: registers as a Republican in Florida, which is a choice. 843 00:42:05,160 --> 00:42:07,000 Speaker 2: So you know, I mean think we have a general 844 00:42:07,040 --> 00:42:09,080 Speaker 2: sense of what her political leanings are. She comes from 845 00:42:09,120 --> 00:42:13,400 Speaker 2: a conservative family whatever. I do not buy that she 846 00:42:13,680 --> 00:42:15,399 Speaker 2: and her whole team because again we're not just talking 847 00:42:15,400 --> 00:42:18,040 Speaker 2: about Sidney Sweeney. We're talking about a whole team that 848 00:42:18,080 --> 00:42:20,880 Speaker 2: they did not realize what they were flirting with in 849 00:42:20,920 --> 00:42:23,000 Speaker 2: that American Eagle at I think they knew. 850 00:42:23,480 --> 00:42:25,480 Speaker 4: I think they were fully in. 851 00:42:25,400 --> 00:42:27,480 Speaker 2: With the Vibe Shift, thought she could be a sort 852 00:42:27,480 --> 00:42:30,399 Speaker 2: of pin up for the right and was by the way, 853 00:42:30,440 --> 00:42:32,919 Speaker 2: and already was occupying that space. So they thought, okay, 854 00:42:32,920 --> 00:42:34,400 Speaker 2: this is a good way to lean into this. This 855 00:42:34,440 --> 00:42:36,600 Speaker 2: is where the culture is going this will help us, 856 00:42:36,640 --> 00:42:38,719 Speaker 2: like this is where we are now, and so we're 857 00:42:38,719 --> 00:42:41,160 Speaker 2: going to play with these concepts that are in the air, 858 00:42:41,360 --> 00:42:44,320 Speaker 2: that are a little edgy and controversial for fun and profit. 859 00:42:44,760 --> 00:42:48,319 Speaker 2: And so she did that, and you know, thought that 860 00:42:48,320 --> 00:42:51,319 Speaker 2: that was like the lane for her to occupy up 861 00:42:51,400 --> 00:42:56,000 Speaker 2: until recently, when you have you have a political vibe shift, 862 00:42:56,400 --> 00:42:58,279 Speaker 2: which is why I connected us to Tim Dillon and 863 00:42:58,320 --> 00:43:01,240 Speaker 2: his comments. You have a very clear political vibe shift. 864 00:43:01,480 --> 00:43:04,160 Speaker 2: Whatever vibe shift young men had been caught up that 865 00:43:04,320 --> 00:43:06,759 Speaker 2: in that is also dissipated. I mean, the numbers for 866 00:43:06,800 --> 00:43:09,520 Speaker 2: Trump among young men are almost as devastating as they 867 00:43:09,520 --> 00:43:10,920 Speaker 2: are among young women. 868 00:43:11,360 --> 00:43:14,719 Speaker 5: So on cultural issues, young men are still like attracted 869 00:43:14,760 --> 00:43:18,840 Speaker 5: to certain things that young women aren't, like certain cultural questions. 870 00:43:20,160 --> 00:43:22,280 Speaker 4: They're still more liberal than every other generation. 871 00:43:22,440 --> 00:43:25,160 Speaker 5: They absolutely are, just meaning that there's a golf culturally 872 00:43:25,160 --> 00:43:27,120 Speaker 5: between young men and young women. Like young men have 873 00:43:27,239 --> 00:43:31,800 Speaker 5: different opinions on like trans immigration, like they tend to 874 00:43:31,840 --> 00:43:33,560 Speaker 5: still be polarized from women. 875 00:43:33,320 --> 00:43:35,719 Speaker 2: On those maybe the case, but in terms of affirmative 876 00:43:35,719 --> 00:43:37,560 Speaker 2: support for MAGA, no, that's totally different. 877 00:43:37,600 --> 00:43:38,480 Speaker 4: Dead and gone right. 878 00:43:39,120 --> 00:43:41,080 Speaker 2: And if you're doing an American Eagle brand I mean, 879 00:43:41,200 --> 00:43:44,720 Speaker 2: she really created a brand that wasn't really pitching herself 880 00:43:44,760 --> 00:43:48,520 Speaker 2: to young women. It really was leaning hard into the 881 00:43:48,560 --> 00:43:51,359 Speaker 2: male case. The problem with that is, number one, there's 882 00:43:51,360 --> 00:43:53,960 Speaker 2: no loyalty there. Right the minute you put on some 883 00:43:54,040 --> 00:43:56,160 Speaker 2: weight and do an artsy film, they're like, oh my god, 884 00:43:56,239 --> 00:43:57,439 Speaker 2: it's like, what are you doing. 885 00:43:57,840 --> 00:43:58,759 Speaker 4: That's not what I'm here for. 886 00:43:58,960 --> 00:44:01,080 Speaker 3: Right, You're an athlete, Like. 887 00:44:02,520 --> 00:44:04,439 Speaker 2: The minute you you know, you hit a certain age, 888 00:44:04,480 --> 00:44:06,360 Speaker 2: it's over for you, or show any sign of aging, 889 00:44:06,440 --> 00:44:08,120 Speaker 2: like it's over. You know, if that's what you're catering 890 00:44:08,120 --> 00:44:11,160 Speaker 2: towards you, there's not gonna be any loyalty or longevity there. 891 00:44:11,560 --> 00:44:14,799 Speaker 2: And if you're trying air American Eagle carries, you know, 892 00:44:14,880 --> 00:44:17,560 Speaker 2: genes for men and women or you know, young people 893 00:44:17,680 --> 00:44:22,279 Speaker 2: of any gender, so the male audience matters there. But yeah, 894 00:44:22,320 --> 00:44:26,200 Speaker 2: if you are wanting to sell to women, you're really 895 00:44:26,480 --> 00:44:30,000 Speaker 2: sort of isolating yourself and ostracizing yourself from that part 896 00:44:30,080 --> 00:44:32,759 Speaker 2: of the market. So, you know, I don't know that 897 00:44:32,880 --> 00:44:35,479 Speaker 2: the box office bomb, and this wasn't her first box 898 00:44:35,520 --> 00:44:37,760 Speaker 2: office bomb, by the way, that that really had anything 899 00:44:37,760 --> 00:44:40,239 Speaker 2: directly to do with like the magaflirtation and all these 900 00:44:40,280 --> 00:44:44,319 Speaker 2: sorts of things. But maybe her team feels like it did, 901 00:44:44,360 --> 00:44:47,120 Speaker 2: maybe she feels like it did. Maybe the dynamics was 902 00:44:47,200 --> 00:44:51,000 Speaker 2: Zundaya were also like personally taxing for her. I don't know, 903 00:44:51,200 --> 00:44:54,720 Speaker 2: but to me, it's sort of emblematic of a movement 904 00:44:54,880 --> 00:44:57,799 Speaker 2: in the culture that we see in other you know, 905 00:44:57,840 --> 00:44:59,040 Speaker 2: in other spaces as well. 906 00:44:59,160 --> 00:45:03,000 Speaker 5: Yeah, I mean gets into our next story, because Hollywood 907 00:45:03,040 --> 00:45:07,160 Speaker 5: is still not like an easy place to be seen 908 00:45:07,200 --> 00:45:10,719 Speaker 5: as quote pro Trump and I bet people were uncomfortable 909 00:45:10,760 --> 00:45:13,400 Speaker 5: working for Sidney Sweeney with this new reputation that she 910 00:45:13,560 --> 00:45:17,120 Speaker 5: was getting as someone who's like hardcore Maga and is 911 00:45:17,160 --> 00:45:20,920 Speaker 5: like a almost a mascot for Maga. 912 00:45:21,080 --> 00:45:22,879 Speaker 3: So I'm sure some of that was uncomfortable. 913 00:45:22,920 --> 00:45:26,239 Speaker 5: But just to get into the anti trust component, we 914 00:45:26,280 --> 00:45:27,600 Speaker 5: can but f two on the screen. 915 00:45:28,680 --> 00:45:30,760 Speaker 3: I'm sorry, we can. We can. One second. 916 00:45:30,760 --> 00:45:32,440 Speaker 5: We actually have a clip of Donald Trump, who was 917 00:45:32,480 --> 00:45:34,719 Speaker 5: on the red carpet of the Kennedy Center Honors last night. 918 00:45:34,600 --> 00:45:35,480 Speaker 3: Which he hosted. 919 00:45:35,840 --> 00:45:39,280 Speaker 5: We should know Donald Trump hosted the Kennedy Center Honors. 920 00:45:39,840 --> 00:45:42,200 Speaker 3: Maybe that'll be a presidential tradition. So glad that Joe 921 00:45:42,200 --> 00:45:43,040 Speaker 3: Biden didn't do that. 922 00:45:43,280 --> 00:45:45,040 Speaker 5: Actually, we could have gotten some great moments out of 923 00:45:45,080 --> 00:45:48,120 Speaker 5: Joe Biden attempting a late night Kennedy Center honors. 924 00:45:48,239 --> 00:45:49,200 Speaker 3: Yeah. 925 00:45:49,200 --> 00:45:53,040 Speaker 5: So Trump is asked about this attempted merger between Netflix 926 00:45:53,200 --> 00:45:57,480 Speaker 5: and Warner Brothers and says something very interesting on the 927 00:45:57,520 --> 00:45:59,239 Speaker 5: red carpet last night at the Kennedy Center. 928 00:45:59,320 --> 00:46:02,560 Speaker 3: Let's roll this pretty allowed to buy Warner Brothers. 929 00:46:02,560 --> 00:46:04,600 Speaker 8: Should Well, that's a question. They have a very big 930 00:46:04,640 --> 00:46:07,719 Speaker 8: market share, and when they have Warner Brothers, you know 931 00:46:07,800 --> 00:46:09,480 Speaker 8: that chair goes up a lot. So I don't know 932 00:46:09,520 --> 00:46:12,400 Speaker 8: that's going to be for some economists to tell. And 933 00:46:12,480 --> 00:46:15,160 Speaker 8: also and I'll be involved in that decision too, but 934 00:46:15,640 --> 00:46:17,479 Speaker 8: they have a very big market share. 935 00:46:17,640 --> 00:46:20,280 Speaker 5: Did he make any guarantees to you about the merger 936 00:46:20,360 --> 00:46:22,480 Speaker 5: if they do merge? Now, No, not at all. 937 00:46:22,520 --> 00:46:24,719 Speaker 8: He came up. He was in the Oval office last week. 938 00:46:25,600 --> 00:46:26,920 Speaker 8: I have a lot of respect for him. He's a 939 00:46:26,920 --> 00:46:29,840 Speaker 8: great he's a great person. But he's done one of 940 00:46:29,920 --> 00:46:34,200 Speaker 8: the greatest jobs in the history of movies and other things. 941 00:46:34,640 --> 00:46:37,400 Speaker 8: And he's got a lot of interesting things happening aside 942 00:46:37,400 --> 00:46:40,120 Speaker 8: from what you're talking about. But it is a big 943 00:46:40,160 --> 00:46:41,920 Speaker 8: market share. Here's a question, though. 944 00:46:42,280 --> 00:46:45,680 Speaker 5: So that is I mean, he said I'll be involved 945 00:46:45,719 --> 00:46:48,040 Speaker 5: in that decision. There you go now we can put 946 00:46:48,080 --> 00:46:50,920 Speaker 5: F two on the screen. This is the Netflix CEO. 947 00:46:51,239 --> 00:46:54,799 Speaker 5: Not a surprising story at all, but this is Ted 948 00:46:55,000 --> 00:46:59,120 Speaker 5: Strandos meeting with According to Bloomberg, Donald Trump in the 949 00:46:59,120 --> 00:47:03,680 Speaker 5: Oval Office just mentioned actually in the clip, and so 950 00:47:03,960 --> 00:47:07,480 Speaker 5: the connection was any sweety crystal. Basically is that the 951 00:47:07,560 --> 00:47:10,480 Speaker 5: vibe shift sort of came last year. Will remember, like 952 00:47:10,560 --> 00:47:14,440 Speaker 5: this exact time last year, it looked like Hollywood, Silicon Valley, 953 00:47:14,480 --> 00:47:18,759 Speaker 5: We're all getting swept up in kind of reckoning with 954 00:47:18,800 --> 00:47:21,320 Speaker 5: the reality that they'd alienated a lot of the country 955 00:47:21,440 --> 00:47:23,600 Speaker 5: and that Donald Trump was going to be mercurial and 956 00:47:23,719 --> 00:47:27,080 Speaker 5: was going to wield his power where he wanted you 957 00:47:27,080 --> 00:47:30,640 Speaker 5: to kind of come kiss the ring in an aggressive 958 00:47:30,680 --> 00:47:31,840 Speaker 5: way and then. 959 00:47:31,719 --> 00:47:36,799 Speaker 3: He would reward you in reward you back. 960 00:47:36,880 --> 00:47:39,600 Speaker 5: Now, this deal, this attempt a merger, which looks like 961 00:47:39,640 --> 00:47:42,439 Speaker 5: a pretty clear cut violation of the Clayton Act, although 962 00:47:42,440 --> 00:47:44,239 Speaker 5: another that stuff is super clear cutcuse it depends on 963 00:47:44,239 --> 00:47:45,480 Speaker 5: how you define market share. 964 00:47:45,280 --> 00:47:45,759 Speaker 3: And all of that. 965 00:47:46,160 --> 00:47:49,719 Speaker 5: It's already getting criticism from Mike Lee and Republicans and 966 00:47:49,760 --> 00:47:56,000 Speaker 5: it's getting absolutely panned across Hollywood. There is no love 967 00:47:56,280 --> 00:47:58,880 Speaker 5: in Hollywood for this. I mean, it's predicted to absolutely 968 00:47:58,880 --> 00:48:01,719 Speaker 5: decimate theaters. You could under and why. But people are 969 00:48:01,800 --> 00:48:05,600 Speaker 5: pissed about this. It is not going well for Netflix. 970 00:48:05,160 --> 00:48:07,239 Speaker 2: So far well, and we've got a new factor to 971 00:48:07,280 --> 00:48:09,680 Speaker 2: add in as well. I think we can add this 972 00:48:09,719 --> 00:48:11,960 Speaker 2: and post this New York Times tearshet because we're just 973 00:48:12,000 --> 00:48:16,000 Speaker 2: learning now. Paramount, headed by David Ellison, is making a 974 00:48:16,080 --> 00:48:18,640 Speaker 2: hostile bid for Warner Brothers Discovery. 975 00:48:18,640 --> 00:48:19,960 Speaker 4: I'll just read from this tear sheet. 976 00:48:20,200 --> 00:48:23,759 Speaker 2: Paramount on Monday mounted a hostile takeover bid for Warner 977 00:48:23,800 --> 00:48:27,239 Speaker 2: Brothers Discovery, a brazen attempt to secure a Hollywood prize 978 00:48:27,280 --> 00:48:31,040 Speaker 2: snatched away by Netflix. Last week, Netflix announced an eighty 979 00:48:31,120 --> 00:48:33,000 Speaker 2: three billion dollar deal to buy a big part of 980 00:48:33,000 --> 00:48:35,359 Speaker 2: Warner Brothers Discovery and Friday, in an agreement approved by 981 00:48:35,360 --> 00:48:37,960 Speaker 2: the boards of both companies. In a news release on Monday, 982 00:48:37,960 --> 00:48:41,520 Speaker 2: Paramount went around the Warner Brothers Discovery board and straight 983 00:48:41,560 --> 00:48:45,600 Speaker 2: to shareholders with what it called a superior offer. Paramount 984 00:48:45,640 --> 00:48:48,160 Speaker 2: said it would pay thirty dollars per share in cash, 985 00:48:48,520 --> 00:48:51,200 Speaker 2: valuing the company around one hundred and eight billion dollars 986 00:48:51,239 --> 00:48:53,719 Speaker 2: including debt. Said it was going to shareholders because the 987 00:48:53,719 --> 00:48:57,440 Speaker 2: board of Warner Brothers Discovery is pursuing an inferior proposal 988 00:48:57,719 --> 00:49:01,760 Speaker 2: that would lead to a challenging regulatory approval process. Paramount 989 00:49:01,760 --> 00:49:04,280 Speaker 2: has offered to buy all of Warner Brothers Discovery, including 990 00:49:04,280 --> 00:49:07,520 Speaker 2: the Warner Brothers Movie Studio, the HBO Max streaming service, 991 00:49:07,560 --> 00:49:10,720 Speaker 2: in a portfolio of cable channels, including CNN. The cable 992 00:49:10,760 --> 00:49:14,040 Speaker 2: channels are not part of the Netflix deal. We believe 993 00:49:14,200 --> 00:49:16,960 Speaker 2: our offer will create a stronger Hollywood. David Ellison, the 994 00:49:17,040 --> 00:49:18,920 Speaker 2: chief executive Paramount, CID a press release. 995 00:49:19,080 --> 00:49:20,400 Speaker 4: It is in the best. 996 00:49:20,120 --> 00:49:24,640 Speaker 2: Interests of the creative community, consumers, and the movie theater industry. 997 00:49:24,680 --> 00:49:29,879 Speaker 2: Warner Brothers Discovery had no immediate comment. How about none 998 00:49:29,880 --> 00:49:30,960 Speaker 2: of these would be in the. 999 00:49:30,880 --> 00:49:33,160 Speaker 4: Best interest of creating a stronger Hollywood. 1000 00:49:33,480 --> 00:49:34,759 Speaker 3: How ants stopped mergers? 1001 00:49:34,920 --> 00:49:38,600 Speaker 2: Yeah, I mean this is this was expected from David Ellison, 1002 00:49:38,719 --> 00:49:41,759 Speaker 2: and this has been a concern both because obviously of 1003 00:49:41,760 --> 00:49:45,680 Speaker 2: the corporate consolidation, but also because of Ellison's ideological leanings. 1004 00:49:45,760 --> 00:49:50,440 Speaker 2: So he is pro Trump's quotes, Trump ally very zionist, 1005 00:49:50,440 --> 00:49:53,840 Speaker 2: pro Israel. You know, we've seen what's going on at CBS. 1006 00:49:53,880 --> 00:49:56,439 Speaker 2: I mean, he's you know, so we're the idea here 1007 00:49:56,560 --> 00:49:58,880 Speaker 2: is you have a consolidation of all these media properties. 1008 00:49:58,920 --> 00:50:03,319 Speaker 2: Now under and like affirmative avowed Trump supporter, and so 1009 00:50:03,600 --> 00:50:07,799 Speaker 2: more sort of like state influence on media bleeding over 1010 00:50:07,840 --> 00:50:11,279 Speaker 2: into these other outlets, including HBO, Max, including CNN, So 1011 00:50:11,440 --> 00:50:13,080 Speaker 2: obviously really significant there. 1012 00:50:13,719 --> 00:50:15,240 Speaker 4: So now you, I guess, have these. 1013 00:50:15,040 --> 00:50:19,200 Speaker 2: Two rival bids and even more uncertainty about what may 1014 00:50:19,280 --> 00:50:21,600 Speaker 2: ultimately happen here, right, And what's the goal? 1015 00:50:21,800 --> 00:50:25,960 Speaker 5: I mean, that's Matt stolar over a big which is 1016 00:50:26,000 --> 00:50:29,160 Speaker 5: the essential newsletter to read if you don't on these questions, 1017 00:50:29,200 --> 00:50:33,600 Speaker 5: and he's been following the Hollywood stuff a lot, absolutely 1018 00:50:34,760 --> 00:50:38,560 Speaker 5: open question as to what the goal of Netflix is 1019 00:50:38,640 --> 00:50:41,680 Speaker 5: with this merger. You have to basically freeze the assets 1020 00:50:41,760 --> 00:50:43,600 Speaker 5: of the competitor that you're trying to merge with. In 1021 00:50:43,640 --> 00:50:46,359 Speaker 5: a case like this is what does David Ellison think 1022 00:50:46,480 --> 00:50:47,799 Speaker 5: is going to come of this? Is he trying to 1023 00:50:47,840 --> 00:50:51,960 Speaker 5: block Netflix from hurting the competitiveness of Warner like this is? 1024 00:50:52,320 --> 00:50:58,680 Speaker 5: This is succession level drama, obviously, And I wonder what 1025 00:50:58,719 --> 00:51:03,880 Speaker 5: we're seeing a little bit is somebody like Sarandos And 1026 00:51:03,920 --> 00:51:05,680 Speaker 5: maybe you could argue even Ellison, who, by the way, 1027 00:51:05,680 --> 00:51:08,960 Speaker 5: Trump did get to green light the new rush Hour movie, 1028 00:51:09,000 --> 00:51:10,240 Speaker 5: So something good will. 1029 00:51:10,040 --> 00:51:13,920 Speaker 3: Come of this that actually happened. I don't know if 1030 00:51:13,920 --> 00:51:15,560 Speaker 3: you get did you guys cover that like we did it? 1031 00:51:15,600 --> 00:51:17,719 Speaker 4: But I did see that it happened yet like. 1032 00:51:18,120 --> 00:51:23,640 Speaker 5: Just the perfect Trump story in every level, but it did. 1033 00:51:23,680 --> 00:51:28,000 Speaker 5: It was there an overreach that has spawned serious backlash 1034 00:51:28,120 --> 00:51:31,040 Speaker 5: that ends up actually hurting them more than it helps 1035 00:51:31,080 --> 00:51:33,040 Speaker 5: them because they've overreached. 1036 00:51:33,080 --> 00:51:33,440 Speaker 3: I don't know. 1037 00:51:33,520 --> 00:51:35,480 Speaker 5: That's I think an open question right now. And I 1038 00:51:35,480 --> 00:51:37,680 Speaker 5: think the sort of way that we can make this 1039 00:51:37,719 --> 00:51:41,759 Speaker 5: full circle with Sidney Sweety is that none of what 1040 00:51:41,960 --> 00:51:45,560 Speaker 5: everyone was feeling this time last year was permanent, and 1041 00:51:46,760 --> 00:51:49,239 Speaker 5: could the Trump administration have come in a second time 1042 00:51:49,280 --> 00:51:53,160 Speaker 5: around and maintained that cultural momentum. I don't know, but 1043 00:51:53,200 --> 00:51:55,040 Speaker 5: it's kind of an interesting counterfactual to ponder. 1044 00:51:55,320 --> 00:51:55,680 Speaker 4: Yeah. 1045 00:51:55,800 --> 00:51:57,600 Speaker 2: Well, and they also came in with a lot of 1046 00:51:57,840 --> 00:52:01,520 Speaker 2: you know, gestures towards the anti Tross movement and some 1047 00:52:01,800 --> 00:52:04,440 Speaker 2: you know, even personnel decisions that were like oh maybe 1048 00:52:04,520 --> 00:52:06,960 Speaker 2: you know, and some of the anti trust moments started 1049 00:52:07,000 --> 00:52:10,000 Speaker 2: under the first Trump administration and now that's just been 1050 00:52:10,200 --> 00:52:13,720 Speaker 2: basically completely abandoned. And certainly where tech world is concerned, 1051 00:52:13,800 --> 00:52:16,920 Speaker 2: I mean, they're just given whatever whatever they want, and 1052 00:52:16,960 --> 00:52:18,480 Speaker 2: if you can get in with good with Trump, you're 1053 00:52:18,480 --> 00:52:20,200 Speaker 2: going to get your deals approved, and that's pretty much 1054 00:52:20,239 --> 00:52:22,200 Speaker 2: how he operates. Now, they can use it as a 1055 00:52:22,200 --> 00:52:25,799 Speaker 2: weapon against you if they hate you, then I'm you know, 1056 00:52:25,960 --> 00:52:28,120 Speaker 2: I don't think anyone would be surprised to see them 1057 00:52:28,280 --> 00:52:30,840 Speaker 2: using it as a weapon instead of just using it 1058 00:52:30,880 --> 00:52:34,200 Speaker 2: as like a neutral enforcement mechanism. And that's really one 1059 00:52:34,239 --> 00:52:36,319 Speaker 2: of the things that Trump has completely not to say 1060 00:52:36,320 --> 00:52:39,400 Speaker 2: that the government's been perfect in terms of being neutral, 1061 00:52:39,400 --> 00:52:44,359 Speaker 2: but the general expectation was that the government bureaucracy would 1062 00:52:44,360 --> 00:52:48,479 Speaker 2: be neutral in its adjudication of these questions. And Trump 1063 00:52:48,560 --> 00:52:51,360 Speaker 2: doesn't even pretend that that's a goal, like that's just 1064 00:52:51,480 --> 00:52:52,120 Speaker 2: out the window. 1065 00:52:52,480 --> 00:52:54,799 Speaker 5: So and he says he's going to be involved in 1066 00:52:54,800 --> 00:52:57,440 Speaker 5: the decision. So there's another component of it. If you 1067 00:52:57,480 --> 00:52:59,480 Speaker 5: want to keep getting in Donald Trump's good graces, you 1068 00:52:59,520 --> 00:53:00,399 Speaker 5: know how to do it. 1069 00:53:00,480 --> 00:53:02,160 Speaker 3: Apparently the Oval office is open. 1070 00:53:02,320 --> 00:53:05,239 Speaker 2: Yeah, not hard to figure that one out, all right, guys, Well, 1071 00:53:05,239 --> 00:53:07,320 Speaker 2: thank you so much for watching, Emily, Thank you for 1072 00:53:07,680 --> 00:53:08,560 Speaker 2: filling in today. 1073 00:53:08,880 --> 00:53:11,800 Speaker 5: I'm always happy to happy to help pick up Sager 1074 00:53:11,960 --> 00:53:15,520 Speaker 5: slack and then to call him out for slacking. I'll 1075 00:53:15,520 --> 00:53:17,000 Speaker 5: never just do it out of the goodness of my own. 1076 00:53:17,160 --> 00:53:18,680 Speaker 4: I know he appreciates that about you. 1077 00:53:18,760 --> 00:53:22,680 Speaker 3: I'll do it to roast him. That's my real motivation. 1078 00:53:23,320 --> 00:53:26,560 Speaker 2: I enjoy that aspect of your personality as well. I 1079 00:53:26,600 --> 00:53:29,760 Speaker 2: think it should be we'll see how Sager's doing tomorrow. 1080 00:53:29,760 --> 00:53:31,480 Speaker 2: Should be me and Sager tomorrow, but we'll see. In 1081 00:53:31,520 --> 00:53:33,000 Speaker 2: any case, you guys have a great day. 1082 00:53:33,600 --> 00:53:34,200 Speaker 4: We're going to do. 1083 00:53:34,320 --> 00:53:36,759 Speaker 2: I'm going to do the AMA with producer Mac I 1084 00:53:36,760 --> 00:53:38,680 Speaker 2: think because Emily has to jump. But if you want 1085 00:53:38,719 --> 00:53:42,000 Speaker 2: to get access to those live amas, make sure you 1086 00:53:42,080 --> 00:53:44,000 Speaker 2: sign up at Breakingpoints dot com. 1087 00:53:44,040 --> 00:53:44,719 Speaker 4: See you guys soon,