1 00:00:00,320 --> 00:00:03,440 Speaker 1: Cable news is ripping us apart, dividing the nation, making 2 00:00:03,480 --> 00:00:05,920 Speaker 1: it impossible to function as a society and to know 3 00:00:05,960 --> 00:00:08,720 Speaker 1: what is true and what is false. The good news 4 00:00:08,800 --> 00:00:10,840 Speaker 1: is that they're failing and they know it. That is 5 00:00:10,840 --> 00:00:14,840 Speaker 1: why we're building something new. Be part of creating a new, better, healthier, 6 00:00:14,880 --> 00:00:17,960 Speaker 1: and more trustworthy mainstream by becoming a Breaking Points Premium 7 00:00:17,960 --> 00:00:21,520 Speaker 1: member today at breakingpoints dot com. Your hard earned money 8 00:00:21,560 --> 00:00:23,400 Speaker 1: is going to help us build for the midterms and 9 00:00:23,440 --> 00:00:27,400 Speaker 1: the upcoming presidential election so we can provide unparalleled coverage 10 00:00:27,400 --> 00:00:28,640 Speaker 1: of what is sure to be one of the most 11 00:00:28,640 --> 00:00:32,320 Speaker 1: pivotal moments in American history. So what are you waiting for? 12 00:00:32,520 --> 00:00:36,599 Speaker 1: Go to Breakingpoints dot com to help us out. Hello, everybody, 13 00:00:36,960 --> 00:00:40,199 Speaker 1: Welcome to the show. It is Wednesday, special schedule. Obviously, 14 00:00:40,440 --> 00:00:42,519 Speaker 1: can't really give you a cheery opening because we've just 15 00:00:42,520 --> 00:00:45,720 Speaker 1: got such a tragic event happening in Uvalde, Texas. So 16 00:00:46,080 --> 00:00:48,360 Speaker 1: obviously we went ahead and scrapped the guest segment just 17 00:00:48,400 --> 00:00:49,720 Speaker 1: to make sure that we had as much time to 18 00:00:49,720 --> 00:00:53,800 Speaker 1: go over everything as possible. But that's what we have today, Crystal. Yeah, 19 00:00:53,800 --> 00:00:55,319 Speaker 1: that's what we're going to start with. Of course, we're 20 00:00:55,320 --> 00:00:57,760 Speaker 1: also going to cover the primary results. So sys some 21 00:00:57,840 --> 00:01:01,000 Speaker 1: big news there, some big news owned House saying on Trump. 22 00:01:01,600 --> 00:01:05,480 Speaker 1: But we do want to start with the horrific mass 23 00:01:05,800 --> 00:01:11,240 Speaker 1: shooting in Uvalde, Texas elementary school. What we know is 24 00:01:11,280 --> 00:01:16,080 Speaker 1: that nineteen children at least were murdered in cold blood, 25 00:01:16,440 --> 00:01:20,280 Speaker 1: along with two of their teachers. Others are wounded as well. 26 00:01:20,360 --> 00:01:23,840 Speaker 1: We heard from Governor Abbott yesterday about what we know 27 00:01:23,920 --> 00:01:26,440 Speaker 1: thus far. Let's go ahead and take a listen. The 28 00:01:26,480 --> 00:01:30,680 Speaker 1: shooter was Salvador Romas, an eighteen year old mal who 29 00:01:30,680 --> 00:01:34,600 Speaker 1: resided in Uvaldi. It's believed that he abandoned his vehicle 30 00:01:34,640 --> 00:01:38,360 Speaker 1: that entered into the rob Elementary School in u Valley 31 00:01:38,600 --> 00:01:40,880 Speaker 1: with a handgun, and he may have also had a rifle, 32 00:01:41,160 --> 00:01:43,520 Speaker 1: but that is not yet confirmed. According to my most 33 00:01:43,560 --> 00:01:53,480 Speaker 1: recent report, he shot and killed horrifically, incomprehensibly fourteen students 34 00:01:54,160 --> 00:02:03,440 Speaker 1: and killed a teacher. Mister Romas, the shooter, he himself 35 00:02:04,520 --> 00:02:11,280 Speaker 1: is deceased and is believed that responding officers killed him. 36 00:02:12,600 --> 00:02:16,200 Speaker 1: So here's what we know thus far, and I do 37 00:02:16,280 --> 00:02:19,840 Speaker 1: want to warn everybody first of all, obviously this is 38 00:02:20,080 --> 00:02:25,600 Speaker 1: extraordinarily horrific event, so those sensitivities always are to be considered. 39 00:02:25,600 --> 00:02:28,560 Speaker 1: But also, as I've covered a lot of these mass 40 00:02:28,560 --> 00:02:32,840 Speaker 1: shooting events, the details as we learn more can always shift, 41 00:02:33,240 --> 00:02:35,720 Speaker 1: So just take the reports that are coming out right now, 42 00:02:35,800 --> 00:02:38,399 Speaker 1: immediately in the wake of those events with a grain 43 00:02:38,440 --> 00:02:41,480 Speaker 1: of salt. Already we have seen some key details, including 44 00:02:41,480 --> 00:02:44,000 Speaker 1: the number killed and including the type of guns used, 45 00:02:44,040 --> 00:02:47,000 Speaker 1: including the response from law enforcement on the scene, have 46 00:02:47,120 --> 00:02:49,280 Speaker 1: been moving and shifting, So I just want to put 47 00:02:49,280 --> 00:02:50,720 Speaker 1: all of that out there. Go ahead and put this 48 00:02:50,760 --> 00:02:53,120 Speaker 1: first tweet up on the screen. So what we know 49 00:02:53,360 --> 00:02:57,960 Speaker 1: about the shooter is that he apparently on his eighteenth 50 00:02:58,000 --> 00:03:00,760 Speaker 1: birthday or the day after, went out and bought an 51 00:03:00,760 --> 00:03:04,640 Speaker 1: assault rifle. The very first person that he shot was 52 00:03:04,680 --> 00:03:08,440 Speaker 1: his grandmother. Now this tweet says that his grandmother was killed. 53 00:03:08,560 --> 00:03:11,920 Speaker 1: The reporting I saw is that she is in the hospital. 54 00:03:12,280 --> 00:03:15,280 Speaker 1: She was wounded, but she is still alive at least 55 00:03:15,360 --> 00:03:18,359 Speaker 1: at this point. So that is the reporting we know then, 56 00:03:19,000 --> 00:03:20,800 Speaker 1: and let's go ahead and put this next piece up 57 00:03:20,800 --> 00:03:24,840 Speaker 1: on the screen from the Daily Mail. Then he drives 58 00:03:25,040 --> 00:03:28,440 Speaker 1: near to this elementary school, crashes his truck. We saw 59 00:03:28,480 --> 00:03:30,960 Speaker 1: pictures of the truck sort of crashed into a ditch. 60 00:03:32,160 --> 00:03:36,160 Speaker 1: The reporting says that law enforcement was engaging him at 61 00:03:36,160 --> 00:03:42,080 Speaker 1: that point, you shooting, probably between both this murderer and 62 00:03:42,520 --> 00:03:46,800 Speaker 1: law enforcement. He goes into the school and goes room 63 00:03:46,800 --> 00:03:52,560 Speaker 1: to room and starts shooting children before ultimately being taken out. 64 00:03:53,040 --> 00:03:56,160 Speaker 1: In advance of the killing, some of his social media 65 00:03:56,400 --> 00:04:01,360 Speaker 1: presence has come out. His Instagram profile, in pertainicular, featured 66 00:04:01,400 --> 00:04:06,200 Speaker 1: pictures of him with assault rifles, also other pictures of 67 00:04:06,480 --> 00:04:10,600 Speaker 1: guns that he apparently had just purchased. On his eighteenth birthday. 68 00:04:11,200 --> 00:04:15,280 Speaker 1: One of those, and this is bizarre, he had tagged 69 00:04:15,760 --> 00:04:18,960 Speaker 1: a sort of random woman on Instagram who apparently he 70 00:04:19,040 --> 00:04:22,400 Speaker 1: had some tangential connection to, and he wrote her a 71 00:04:22,440 --> 00:04:25,800 Speaker 1: message that said, I got a little secret I want 72 00:04:25,800 --> 00:04:28,880 Speaker 1: to tell you. Be grateful I tagged you, to which 73 00:04:28,880 --> 00:04:33,440 Speaker 1: she replied, no, it's just scary, adding I barely know 74 00:04:33,560 --> 00:04:37,159 Speaker 1: you and you tagged me in a picture with some guns. 75 00:04:37,800 --> 00:04:40,800 Speaker 1: So that is what we know at this point. And 76 00:04:41,120 --> 00:04:45,440 Speaker 1: of course, this is the deadliest mass school shooting since 77 00:04:45,480 --> 00:04:50,920 Speaker 1: Sandy Hook and you know, the nation once again is 78 00:04:51,200 --> 00:04:54,880 Speaker 1: shocked in an absolute grief, coming so shortly too on 79 00:04:54,920 --> 00:04:57,360 Speaker 1: the heels of that horrific shooting we just covered in 80 00:04:57,480 --> 00:05:00,600 Speaker 1: Buffalo from a racist killer there. Scar, Yeah, I mean, 81 00:05:00,600 --> 00:05:03,279 Speaker 1: some of the details here, Like you said, it's very unclear. 82 00:05:03,400 --> 00:05:06,159 Speaker 1: So we already showed you that video of Governor Abbott 83 00:05:06,160 --> 00:05:08,320 Speaker 1: saying the handgun was used. That no longer appears to 84 00:05:08,360 --> 00:05:10,800 Speaker 1: be the case. He appears to be too legally purchased 85 00:05:11,000 --> 00:05:15,000 Speaker 1: firearms from a licensed dealer on his eighteenth birthday. Now 86 00:05:15,160 --> 00:05:18,679 Speaker 1: again too, in terms of what happened in the initial moments, 87 00:05:18,760 --> 00:05:20,360 Speaker 1: I think there needs to be a lot of scrutiny 88 00:05:20,360 --> 00:05:24,239 Speaker 1: on this. Indeed, current Texas Department Public of Safety says 89 00:05:24,279 --> 00:05:26,719 Speaker 1: that and this was on CNN last night, said that 90 00:05:26,760 --> 00:05:31,600 Speaker 1: the shooter shot his way passed the school district police officer, 91 00:05:32,080 --> 00:05:36,400 Speaker 1: and then two additional cops from local PD who appeared 92 00:05:36,440 --> 00:05:39,240 Speaker 1: to be on the scene. So what they're saying is 93 00:05:39,240 --> 00:05:41,800 Speaker 1: that there were three officers there who had engaged in 94 00:05:41,920 --> 00:05:44,479 Speaker 1: before he even got into the school. Now, obviously his 95 00:05:44,520 --> 00:05:46,480 Speaker 1: body armour on, but we don't know what the status 96 00:05:46,480 --> 00:05:48,680 Speaker 1: of those three officers are. I have a lot of 97 00:05:48,720 --> 00:05:51,520 Speaker 1: questions about what exactly went on down there. And then 98 00:05:51,600 --> 00:05:55,000 Speaker 1: even frankly, Crystal, the circumstances of the killing of mister 99 00:05:55,080 --> 00:05:58,680 Speaker 1: Ramos are also unclear. So the initial reports I saw 100 00:05:59,080 --> 00:06:03,159 Speaker 1: was that a border patrol tactical agent who appeared to 101 00:06:03,200 --> 00:06:08,120 Speaker 1: be in the city, who was off duty, Yeah, rushed 102 00:06:08,120 --> 00:06:10,320 Speaker 1: in there with no backup, and is the guy who 103 00:06:10,400 --> 00:06:14,239 Speaker 1: killed him while there were also other cops on the scene. 104 00:06:14,279 --> 00:06:15,760 Speaker 1: So there needs to be quite a bit of scrutiny 105 00:06:15,839 --> 00:06:18,640 Speaker 1: here on the law enforcement response and what exactly happened here. 106 00:06:18,760 --> 00:06:20,800 Speaker 1: Like you said, I mean, were talking earlier, like you 107 00:06:20,800 --> 00:06:23,360 Speaker 1: have three cops. I don't know what's going on terms 108 00:06:23,480 --> 00:06:27,440 Speaker 1: with the shootout. We cannot second get served judgment, but 109 00:06:27,480 --> 00:06:28,960 Speaker 1: you do have to look at this and just go, 110 00:06:29,040 --> 00:06:30,400 Speaker 1: how the hell did this guy get into it? Sh 111 00:06:30,720 --> 00:06:32,800 Speaker 1: I think about what happened at Parkland and the Broward 112 00:06:32,800 --> 00:06:35,640 Speaker 1: County Sheriff's office, and then that guy who clearly you know, 113 00:06:36,640 --> 00:06:39,440 Speaker 1: I'm not, you know, disparaging these people's character. I have 114 00:06:39,520 --> 00:06:42,080 Speaker 1: no idea currently yet what happened, but that is where 115 00:06:42,360 --> 00:06:44,880 Speaker 1: a bulk of my attentions. Also on the social media site. 116 00:06:44,920 --> 00:06:47,640 Speaker 1: I mean, apparently the grandma is alive. We should have 117 00:06:47,680 --> 00:06:49,560 Speaker 1: a lot of questions for this woman if she is 118 00:06:49,600 --> 00:06:52,200 Speaker 1: the one who he was living with, and clearly was 119 00:06:52,240 --> 00:06:54,599 Speaker 1: a disturbed guy. I mean in terms of what he 120 00:06:54,640 --> 00:06:57,080 Speaker 1: was posting on social media. A lot of the reports 121 00:06:57,080 --> 00:06:59,760 Speaker 1: out there saying that he was bullied for wearing eyeliner 122 00:07:00,120 --> 00:07:02,400 Speaker 1: and for having a lisp. I mean, you know, these 123 00:07:02,400 --> 00:07:04,720 Speaker 1: are like kind of classic eighteen year old problems I 124 00:07:04,760 --> 00:07:07,400 Speaker 1: guess in high school. But it's obvious that, given the 125 00:07:07,480 --> 00:07:10,000 Speaker 1: social media presence and others, these things don't happen in 126 00:07:10,000 --> 00:07:12,120 Speaker 1: a vacuum, and there are probably people around him, of 127 00:07:12,160 --> 00:07:14,880 Speaker 1: which I also have quite a bit of questions in 128 00:07:14,960 --> 00:07:19,600 Speaker 1: terms of this investigation. Honestly a completely enraging show the 129 00:07:19,640 --> 00:07:22,920 Speaker 1: more that we learn about what unfolded down in Texas, 130 00:07:22,920 --> 00:07:25,040 Speaker 1: So we will get to that. There's also, though a 131 00:07:25,040 --> 00:07:27,880 Speaker 1: lot else to talk about this morning, including what the 132 00:07:27,880 --> 00:07:32,880 Speaker 1: Democratic response might be, some really unhinged takes as all 133 00:07:32,920 --> 00:07:36,520 Speaker 1: of this was unfolding. Also kind of flying a little 134 00:07:36,520 --> 00:07:38,200 Speaker 1: bit under the radar that we wanted to bring to 135 00:07:38,240 --> 00:07:44,720 Speaker 1: your attention a massive signature fraud scandal in Michigan that 136 00:07:45,000 --> 00:07:48,000 Speaker 1: may well kick some of their top the Republicans' top 137 00:07:48,040 --> 00:07:51,880 Speaker 1: gubernatorial candidates off of the ballot. Five it is crazy. 138 00:07:51,960 --> 00:07:55,440 Speaker 1: Five out of ten of the Republicans candidates for governors 139 00:07:55,680 --> 00:07:59,240 Speaker 1: were caught with like thousands of forded signatures that looks 140 00:07:59,280 --> 00:08:01,560 Speaker 1: like they all use the same consultant that all you know, 141 00:08:01,720 --> 00:08:04,440 Speaker 1: just basically like filled out the sheets themselves. So we'll 142 00:08:04,440 --> 00:08:06,200 Speaker 1: talk to you about all of that. Also some new 143 00:08:06,280 --> 00:08:08,960 Speaker 1: signs that Mike Pence may be looking at a run 144 00:08:09,040 --> 00:08:12,760 Speaker 1: against Trump in twenty twenty four. But we have to 145 00:08:12,840 --> 00:08:19,200 Speaker 1: start with some absolutely just completely enraging developments that we 146 00:08:19,240 --> 00:08:22,360 Speaker 1: are learning right now this morning about the law enforcement 147 00:08:22,440 --> 00:08:27,880 Speaker 1: response or lack thereof, as a killer was slaughtering babies 148 00:08:27,920 --> 00:08:30,400 Speaker 1: inside of that elementary school. Yeah, I mean, unfortunately, Chris 149 00:08:30,480 --> 00:08:32,720 Speaker 1: saw are worst suspicions in which we alluded to on 150 00:08:32,760 --> 00:08:35,840 Speaker 1: our show yesterday that there was a bungled law enforcement 151 00:08:35,920 --> 00:08:40,120 Speaker 1: response just seems to be almost unambiguously true at this point. 152 00:08:40,200 --> 00:08:43,280 Speaker 1: So we're going to start first with an interview with 153 00:08:43,480 --> 00:08:48,439 Speaker 1: Tony Gonzalez. So he is the GOP congressman from Uvalde, Texas, 154 00:08:48,440 --> 00:08:52,640 Speaker 1: and he's pressed here by CNN's Jake Tapper specifically about 155 00:08:52,679 --> 00:08:56,240 Speaker 1: the timeline, because the major question was, all right, this 156 00:08:56,320 --> 00:08:59,440 Speaker 1: guy gets to the school, mister Ramos, Salvador Ramos, he 157 00:08:59,559 --> 00:09:02,760 Speaker 1: is quote encountered by a police officer. Nobody knows what 158 00:09:02,800 --> 00:09:06,920 Speaker 1: the hell that means. Then an hour later he is killed. 159 00:09:07,440 --> 00:09:11,320 Speaker 1: What the hell transpired in that interim hour right well, 160 00:09:11,360 --> 00:09:15,840 Speaker 1: and immediately both of us thought, wait a second, So 161 00:09:16,000 --> 00:09:19,760 Speaker 1: you engaged with him outside, and not only is he 162 00:09:19,800 --> 00:09:23,400 Speaker 1: able to get inside the school, yes, so law enforcement 163 00:09:23,480 --> 00:09:26,280 Speaker 1: is on the scene from the beginning. Not only is 164 00:09:26,280 --> 00:09:29,120 Speaker 1: he able to get inside that school, but he's able 165 00:09:29,160 --> 00:09:33,440 Speaker 1: to be there long enough to murder over twenty people, 166 00:09:33,520 --> 00:09:39,120 Speaker 1: including nineteen children. And immediately the law enforcement story didn't 167 00:09:39,160 --> 00:09:41,560 Speaker 1: add up. But we said, we're gonna yeah, well till 168 00:09:41,640 --> 00:09:44,000 Speaker 1: the benefit of the doubt, things are gonna change. We're 169 00:09:44,000 --> 00:09:46,240 Speaker 1: gonna get a clearer picture of what unfolded. But the 170 00:09:46,440 --> 00:09:51,240 Speaker 1: clearer the picture becomes the graver. The indictment of law 171 00:09:51,320 --> 00:09:54,000 Speaker 1: enforcement on the scene actually is yeah. And just to 172 00:09:54,040 --> 00:09:56,640 Speaker 1: clear something up also before we get even to this clip, 173 00:09:56,679 --> 00:09:59,560 Speaker 1: which is that law enforcement initially told us that Ramos 174 00:09:59,640 --> 00:10:02,679 Speaker 1: was wearing a body armor vest. That appears to not 175 00:10:02,800 --> 00:10:05,160 Speaker 1: be true. He's wearing a tactical vest in which you 176 00:10:05,200 --> 00:10:08,200 Speaker 1: could insert plates, but he did not have plates inserted. 177 00:10:08,280 --> 00:10:10,800 Speaker 1: So that again raises the question, why did three uniformed 178 00:10:10,800 --> 00:10:13,960 Speaker 1: police officers not able to stop an armed gunman who 179 00:10:14,040 --> 00:10:17,840 Speaker 1: had a single AR fifteen and no body armor on 180 00:10:17,960 --> 00:10:21,040 Speaker 1: him at that time? He was able to barricade, but 181 00:10:21,120 --> 00:10:24,200 Speaker 1: their words in a single classroom. He'll recall that all 182 00:10:24,240 --> 00:10:26,959 Speaker 1: of the children and the teacher were killed inside of 183 00:10:27,000 --> 00:10:31,360 Speaker 1: that single classroom. Let's hear now from mister Congressman Gonzales. 184 00:10:31,679 --> 00:10:35,000 Speaker 1: This is kind of the pro police spin on what happened, 185 00:10:35,000 --> 00:10:35,959 Speaker 1: and then we're going to get to some more of 186 00:10:36,000 --> 00:10:38,040 Speaker 1: the facts that unravel. Let's get to it. So I 187 00:10:38,040 --> 00:10:39,800 Speaker 1: have two questions about this, and maybe you can clear 188 00:10:39,840 --> 00:10:42,440 Speaker 1: this up. How was the gunman able to get into 189 00:10:42,480 --> 00:10:46,080 Speaker 1: the school if the resource officer had engaged with him, 190 00:10:46,080 --> 00:10:50,760 Speaker 1: but no gunfire was exchanged. How did he get in? Yeah, 191 00:10:50,800 --> 00:10:54,359 Speaker 1: so it started at his home, you know. He tragically 192 00:10:55,000 --> 00:10:58,120 Speaker 1: shoots his grandmother and then he gets in a vehicle 193 00:10:58,160 --> 00:11:00,560 Speaker 1: and he drives to the school. It's it's less than 194 00:11:00,600 --> 00:11:03,439 Speaker 1: a mile away, so it's really right around the corner. 195 00:11:03,720 --> 00:11:06,440 Speaker 1: And as he comes to the school, he wrecks. He 196 00:11:06,520 --> 00:11:09,200 Speaker 1: kind of goes into this ditch and it's when he 197 00:11:09,240 --> 00:11:13,120 Speaker 1: got into that ditch is when law enforcement was was 198 00:11:13,120 --> 00:11:16,200 Speaker 1: was called and engaged. You know, so that that's part 199 00:11:16,200 --> 00:11:20,760 Speaker 1: of the initial contact. It was no firing that I understand. 200 00:11:21,120 --> 00:11:24,079 Speaker 1: He actually enters through the back of one of the buildings, 201 00:11:24,320 --> 00:11:26,840 Speaker 1: through the uh, the teacher parking lot, if you will. 202 00:11:27,120 --> 00:11:30,640 Speaker 1: He immediately enters one room and then essentially that's when 203 00:11:30,800 --> 00:11:33,560 Speaker 1: the police, uh, the law enforcement officer, because it's not 204 00:11:33,600 --> 00:11:37,520 Speaker 1: just police officers, it's it's sheriffs, it's border patrol agents. 205 00:11:37,720 --> 00:11:40,720 Speaker 1: I mean, everybody came together. People are not even even 206 00:11:40,720 --> 00:11:44,199 Speaker 1: in this county, and they basically cornered him into one room. 207 00:11:44,480 --> 00:11:47,240 Speaker 1: There are hundreds of children in that school. Part of 208 00:11:47,240 --> 00:11:51,000 Speaker 1: the story, there's a there's a lieutenant named Javier Martinez 209 00:11:51,360 --> 00:11:56,200 Speaker 1: engages this this assailant, he takes fire. He actually was wounded. 210 00:11:56,400 --> 00:11:59,559 Speaker 1: You know, it's tragic to see so many children be murdered, 211 00:11:59,800 --> 00:12:02,200 Speaker 1: but this could have been a whole lot worse. People 212 00:12:02,240 --> 00:12:07,000 Speaker 1: like Javier Martinez and Chief Aredondo, they saved hundreds of lives. 213 00:12:07,040 --> 00:12:09,480 Speaker 1: So that's where you see him get pinned in. Well, 214 00:12:09,800 --> 00:12:11,960 Speaker 1: he was pinned, but just to be clear, he's pinned 215 00:12:12,120 --> 00:12:14,960 Speaker 1: down or pinned in in a classroom where he was 216 00:12:15,000 --> 00:12:19,439 Speaker 1: slaughtering kids, right, I mean, is that what you mean 217 00:12:19,480 --> 00:12:24,200 Speaker 1: by pinned down? I understand that he went in that 218 00:12:24,240 --> 00:12:28,080 Speaker 1: classroom and he begins to fire. He begins to murder people, 219 00:12:28,320 --> 00:12:32,160 Speaker 1: starting with that wonderful teacher that was defending her students 220 00:12:32,320 --> 00:12:35,400 Speaker 1: and he doesn't stop. The police officer actually engages him. 221 00:12:35,800 --> 00:12:40,760 Speaker 1: Javier Martinez engages him. He kind of takes fire through 222 00:12:40,800 --> 00:12:44,199 Speaker 1: the door, and then it stops and he barricades himself in. 223 00:12:44,440 --> 00:12:46,360 Speaker 1: That's where there's kind of a loll in the action. 224 00:12:46,679 --> 00:12:49,240 Speaker 1: All of it, I understand lasted about an hour, but 225 00:12:49,320 --> 00:12:51,440 Speaker 1: this is where there's kind of a thirty minute loll. 226 00:12:51,640 --> 00:12:53,840 Speaker 1: They feel as if they got em barricaded in. The 227 00:12:53,880 --> 00:12:56,680 Speaker 1: rest of the students in the school are now leaving, 228 00:12:56,920 --> 00:12:59,240 Speaker 1: you know, they're trying to get people out to safety, 229 00:12:59,480 --> 00:13:03,840 Speaker 1: and this assailant is barricaded in. It's moments later or 230 00:13:03,960 --> 00:13:06,840 Speaker 1: minutes later when they breach it, and then ultimately a 231 00:13:06,840 --> 00:13:10,680 Speaker 1: Border patrol agent is a one that neutralizes this assailant. 232 00:13:11,120 --> 00:13:13,280 Speaker 1: All right, it still seems like a lot of time 233 00:13:13,520 --> 00:13:16,920 Speaker 1: that the police were outside the classroom and the shooter 234 00:13:17,040 --> 00:13:20,000 Speaker 1: was inside the classroom where there were kids. That's the 235 00:13:20,040 --> 00:13:22,680 Speaker 1: instincts at the very end there by Jake are exactly correct, 236 00:13:22,679 --> 00:13:25,719 Speaker 1: and unfortunately this morning we are learning just exactly how 237 00:13:25,760 --> 00:13:27,599 Speaker 1: dire the situation is. Let's put this up there on 238 00:13:27,640 --> 00:13:31,720 Speaker 1: the screen from the Associated Press. Onlookers urged police to 239 00:13:31,880 --> 00:13:36,720 Speaker 1: charge into the Texas school. Frustrated onlookers urge police officers 240 00:13:36,720 --> 00:13:39,360 Speaker 1: to charge into the Texas school while a gunman killed 241 00:13:39,440 --> 00:13:43,240 Speaker 1: nineteen children, witnesses and investigators work to track the massacre. 242 00:13:43,400 --> 00:13:46,160 Speaker 1: Go in there, Go in there, people shouted at police 243 00:13:46,200 --> 00:13:50,520 Speaker 1: officers soon after the attack began, said Juan Kranza, who 244 00:13:50,600 --> 00:13:54,280 Speaker 1: saw the scene from outside of his house. Javier Kazarrees, 245 00:13:54,320 --> 00:13:57,640 Speaker 1: whose fourth grade daughter Jacqueline was actually killed in the attack, 246 00:13:57,880 --> 00:13:59,679 Speaker 1: said that he race to the school when he heard 247 00:13:59,679 --> 00:14:03,120 Speaker 1: about the shooting, arriving while police are still gathered outside 248 00:14:03,120 --> 00:14:05,360 Speaker 1: of the building. Upset the police were not moving in, 249 00:14:05,400 --> 00:14:07,560 Speaker 1: he raised the idea of charging into the school with 250 00:14:07,679 --> 00:14:11,160 Speaker 1: several other bystanders. Let's rush in there because the cops 251 00:14:11,200 --> 00:14:15,839 Speaker 1: aren't doing anything like he are supposed to. They were unprepared. 252 00:14:15,880 --> 00:14:17,920 Speaker 1: So look, I mean, you hear have the father of 253 00:14:17,920 --> 00:14:20,600 Speaker 1: a slain child who was ready to storm into this 254 00:14:20,680 --> 00:14:25,080 Speaker 1: school watching police officers do basically nothing while the gunman 255 00:14:25,440 --> 00:14:27,720 Speaker 1: was standing in there. And you know, Crystal, the main 256 00:14:27,880 --> 00:14:30,160 Speaker 1: word that I'm looking at here is they're trying to 257 00:14:30,200 --> 00:14:34,480 Speaker 1: frame into some tactical containment. We know every single child 258 00:14:34,680 --> 00:14:38,840 Speaker 1: was killed in one classroom, So let's also understand that 259 00:14:38,920 --> 00:14:42,560 Speaker 1: we know as of this morning from Tom Winters over 260 00:14:42,680 --> 00:14:45,560 Speaker 1: at NBC News that the timeline does not add up 261 00:14:45,600 --> 00:14:48,760 Speaker 1: again that whenever they say police encountered him, he did 262 00:14:48,800 --> 00:14:53,119 Speaker 1: not exchange gunfire at all in the initial whatever encountering 263 00:14:53,120 --> 00:14:56,320 Speaker 1: that happened. So that means that mister Ramos was able 264 00:14:56,480 --> 00:14:59,600 Speaker 1: to crash this car encounter, a police officer go into 265 00:14:59,640 --> 00:15:02,920 Speaker 1: a classassroom, barricade himself into the classroom, all without a 266 00:15:02,960 --> 00:15:06,600 Speaker 1: single shot fired. Yet by this police officer, eventually, only 267 00:15:06,600 --> 00:15:09,320 Speaker 1: after he starts shooting and killing people inside of this 268 00:15:09,360 --> 00:15:12,320 Speaker 1: classroom is he engaged. And you know the other thing, 269 00:15:12,440 --> 00:15:14,600 Speaker 1: it takes a long time. And this is macab but 270 00:15:14,840 --> 00:15:17,080 Speaker 1: it takes a long time to kill twenty two people. 271 00:15:17,320 --> 00:15:19,200 Speaker 1: That's not you know, it's not something that you just 272 00:15:19,240 --> 00:15:22,320 Speaker 1: be accomplished in a single second. So during this entire 273 00:15:22,400 --> 00:15:26,320 Speaker 1: period in which there are supposedly I mean officers, three 274 00:15:26,400 --> 00:15:28,400 Speaker 1: officers there who are on the scene, some of them 275 00:15:28,600 --> 00:15:31,720 Speaker 1: were wounded, but many others were outside, I think that 276 00:15:31,800 --> 00:15:34,280 Speaker 1: we can generally infer what happened here is that you 277 00:15:34,360 --> 00:15:37,920 Speaker 1: have some local PD cops who were either afraid or 278 00:15:37,960 --> 00:15:40,640 Speaker 1: wanted to wait until a tactical team arrived and they 279 00:15:40,800 --> 00:15:44,320 Speaker 1: frankly got bailed out by Border Patrol tactical agents who 280 00:15:44,480 --> 00:15:48,120 Speaker 1: happened to live and be in Yvaldi, who ended up 281 00:15:48,120 --> 00:15:50,600 Speaker 1: showing him well. And a lot of the kids in 282 00:15:50,640 --> 00:15:53,240 Speaker 1: this school because it is pretty close to the border. 283 00:15:53,320 --> 00:15:57,880 Speaker 1: Their parents are CBP, their customs and Border Patrol. So 284 00:15:57,920 --> 00:16:02,480 Speaker 1: can you imagine you're there on your kids. I imagine that. 285 00:16:02,680 --> 00:16:07,480 Speaker 1: Going back to that car, he describes the gunman being 286 00:16:07,520 --> 00:16:12,240 Speaker 1: in this classroom as there being a lull in the action, 287 00:16:12,600 --> 00:16:16,040 Speaker 1: a lull. Can you imagine if you're one of the 288 00:16:16,160 --> 00:16:20,840 Speaker 1: babies or the teachers that's in that classroom with this monster, 289 00:16:21,600 --> 00:16:24,520 Speaker 1: is that a lull in the action to you? And 290 00:16:24,600 --> 00:16:29,280 Speaker 1: what was making me insane yesterday is news article after 291 00:16:29,360 --> 00:16:34,120 Speaker 1: news article, official spokesperson of the police department, after person 292 00:16:34,160 --> 00:16:39,320 Speaker 1: after person after person describing him as being contained in 293 00:16:39,360 --> 00:16:43,360 Speaker 1: this classroom, like this was an intentional strategy to allow 294 00:16:43,440 --> 00:16:49,880 Speaker 1: him into this classroom where he massacres nineteen kids, and 295 00:16:49,960 --> 00:16:54,720 Speaker 1: the story keeps changing. We still still, even with what 296 00:16:54,760 --> 00:16:58,000 Speaker 1: we've learned, do not have a clear picture of what happened. 297 00:16:58,120 --> 00:16:59,960 Speaker 1: We don't know how many people were on the seat. 298 00:17:00,000 --> 00:17:02,680 Speaker 1: And initially they said he had body armor. Oh it 299 00:17:02,720 --> 00:17:04,920 Speaker 1: turns out he didn't, because that was the initial excuse 300 00:17:04,920 --> 00:17:06,480 Speaker 1: for how he's able to get in the school. Well, 301 00:17:06,520 --> 00:17:08,600 Speaker 1: he's you know, he's armored up, so we yeah, sure 302 00:17:08,600 --> 00:17:10,400 Speaker 1: of course we fired at him, but he was able 303 00:17:10,400 --> 00:17:12,880 Speaker 1: to get past U. No, that was a lie. Then 304 00:17:12,920 --> 00:17:15,360 Speaker 1: we find out you didn't even fire your weapon at him, 305 00:17:15,640 --> 00:17:18,600 Speaker 1: and he's able to just casually go into this school 306 00:17:19,000 --> 00:17:22,159 Speaker 1: and barricade himself. You didn't contain him in that classroom. 307 00:17:22,359 --> 00:17:25,200 Speaker 1: He went into that classroom in order to kill those 308 00:17:25,280 --> 00:17:28,719 Speaker 1: babies and the teachers in that room, and you stood 309 00:17:28,760 --> 00:17:34,679 Speaker 1: by for an hour while this is unfolding. There's this video. 310 00:17:34,880 --> 00:17:37,720 Speaker 1: I've already watched it, and I will never be able 311 00:17:37,760 --> 00:17:41,800 Speaker 1: to unsee what these parents are going through at that time. 312 00:17:42,200 --> 00:17:44,919 Speaker 1: As Sager just said, the AP was I think the 313 00:17:44,960 --> 00:17:49,480 Speaker 1: first to report that parents who were outside were begging 314 00:17:49,520 --> 00:17:53,159 Speaker 1: the police go in, do something. Go in the building. 315 00:17:53,200 --> 00:17:56,160 Speaker 1: We'll go in ourselves. And what you're about to see 316 00:17:56,160 --> 00:18:00,960 Speaker 1: in this video is that scene unfolding and the police officers, 317 00:18:01,000 --> 00:18:03,200 Speaker 1: if you look closely, some of them have their tasers 318 00:18:03,320 --> 00:18:08,920 Speaker 1: drawn ready to shock the parents who are beside themselves saying, please, 319 00:18:08,960 --> 00:18:13,159 Speaker 1: for the love of God, do something, and these officers 320 00:18:13,200 --> 00:18:15,239 Speaker 1: are standing there and all their you know, g I. 321 00:18:15,359 --> 00:18:20,399 Speaker 1: Joe military style gear, doing nothing but keeping the parents 322 00:18:20,440 --> 00:18:22,920 Speaker 1: from rushing in to save their own children. Let's take 323 00:18:22,920 --> 00:18:57,919 Speaker 1: a look. I cannot stop imagining what I would be 324 00:18:57,920 --> 00:18:59,720 Speaker 1: going through if it was my baby, and that I 325 00:18:59,720 --> 00:19:01,800 Speaker 1: can't imagine it either. I mean you also can if 326 00:19:01,840 --> 00:19:03,800 Speaker 1: you watch it further. It goes on for two minutes 327 00:19:03,800 --> 00:19:05,560 Speaker 1: and twenty seconds. I know it's difficult if you're just 328 00:19:05,560 --> 00:19:08,480 Speaker 1: listening to this, but they actually do detain somebody and 329 00:19:08,520 --> 00:19:11,440 Speaker 1: put them in handcuffs for basically trying to storm past 330 00:19:11,480 --> 00:19:13,600 Speaker 1: all of them, which is just I mean, I can't imagine, 331 00:19:13,600 --> 00:19:15,919 Speaker 1: you know, if this is your child, and all of 332 00:19:15,960 --> 00:19:19,760 Speaker 1: this is just becoming clear as day, you know. Unfortunately, 333 00:19:20,080 --> 00:19:23,280 Speaker 1: there is also another clip here which just shows you 334 00:19:23,400 --> 00:19:27,080 Speaker 1: that this was clearly some sort of ragtag panic operation 335 00:19:27,440 --> 00:19:32,800 Speaker 1: that we have here an interview shortly afterwards with local 336 00:19:32,840 --> 00:19:37,439 Speaker 1: television where a local reporter asks a police spokesperson and says, 337 00:19:37,760 --> 00:19:40,639 Speaker 1: we have reports here of police officers going into the 338 00:19:40,680 --> 00:19:44,320 Speaker 1: school and taking their own kids out while they're waiting 339 00:19:44,359 --> 00:19:48,240 Speaker 1: for this tactical team to arrive. He actually confirms that 340 00:19:48,359 --> 00:19:51,760 Speaker 1: here on camera. Let's take a listen to that. We've 341 00:19:51,760 --> 00:19:54,200 Speaker 1: heard that some law enforcement officers actually went into school 342 00:19:54,680 --> 00:19:56,879 Speaker 1: to get their kids out. Can you talk about that? 343 00:19:57,200 --> 00:19:58,720 Speaker 1: Right So we we do know, Vanessa right now that 344 00:19:58,760 --> 00:20:01,720 Speaker 1: there was some police officers family's trying to get their 345 00:20:01,760 --> 00:20:03,119 Speaker 1: chripren out of the school. Because if it was an 346 00:20:03,200 --> 00:20:06,080 Speaker 1: active shooter situation right now, it's a terrible situation right now. 347 00:20:06,359 --> 00:20:08,720 Speaker 1: And of course, just as we mentioned the loss of life, 348 00:20:08,920 --> 00:20:10,720 Speaker 1: it's just terrible. It's a terrible strategy when now it 349 00:20:10,760 --> 00:20:13,120 Speaker 1: took place. But again, we got to keep acknowledging those 350 00:20:13,119 --> 00:20:16,040 Speaker 1: brave men and women that actually were there onseen that 351 00:20:16,240 --> 00:20:18,679 Speaker 1: met this suspect. And of course we know that they 352 00:20:18,680 --> 00:20:20,760 Speaker 1: were met with gunfires, some of them were shot. But 353 00:20:20,920 --> 00:20:23,119 Speaker 1: at the end of this, the suspect was shot, is 354 00:20:23,160 --> 00:20:26,280 Speaker 1: now deceased, the threat is now neutralized. I think we 355 00:20:26,359 --> 00:20:30,919 Speaker 1: have a very unfortunately clear picture of the imbroglio that 356 00:20:31,000 --> 00:20:34,880 Speaker 1: has happened here, which is that Ramos shoots his grandma 357 00:20:34,920 --> 00:20:38,040 Speaker 1: in the face. She does not die. She calls nine 358 00:20:38,080 --> 00:20:40,879 Speaker 1: to one one immediately. Almost afterwards after she gets shot, 359 00:20:41,200 --> 00:20:44,160 Speaker 1: he peels out of his driveway, gets into this car, 360 00:20:44,440 --> 00:20:48,080 Speaker 1: crashes the car. He texts a person that he meets 361 00:20:48,080 --> 00:20:49,720 Speaker 1: on the live streaming app I'm going to go shoot 362 00:20:49,760 --> 00:20:53,679 Speaker 1: up in elementary school right now, arrives there, crashes the car. 363 00:20:54,000 --> 00:20:57,000 Speaker 1: At that point a school officer resource officer sees him. 364 00:20:57,320 --> 00:21:01,560 Speaker 1: Ramos enters through the back building into teacher's entrance, down 365 00:21:01,640 --> 00:21:04,080 Speaker 1: the hallway, goes into the classroom with the ten year 366 00:21:04,119 --> 00:21:07,200 Speaker 1: olds and barricades himself in there and begins murdering both 367 00:21:07,240 --> 00:21:10,240 Speaker 1: the teacher and the children. So at some point during 368 00:21:10,280 --> 00:21:13,760 Speaker 1: this the school resource officer two of the other YUVALDIPD 369 00:21:13,880 --> 00:21:15,840 Speaker 1: officers who managed to get on the scene within the 370 00:21:15,840 --> 00:21:19,919 Speaker 1: first couple of minutes, engage Ramos. Then there's like a 371 00:21:19,920 --> 00:21:22,719 Speaker 1: half hour forty five minute period, And that is the 372 00:21:22,760 --> 00:21:24,919 Speaker 1: true scandal to me. I mean, you have here police 373 00:21:24,920 --> 00:21:28,600 Speaker 1: officers in that interim lull who are waiting outside, you know, 374 00:21:28,760 --> 00:21:31,160 Speaker 1: waiting and asking for somebody to actually go in there. 375 00:21:31,200 --> 00:21:33,240 Speaker 1: You have people who went in there to go and 376 00:21:33,320 --> 00:21:35,800 Speaker 1: save their own kids, own kids, and didn't go in 377 00:21:36,000 --> 00:21:38,320 Speaker 1: and engages and look, I know, okay, we're you know, 378 00:21:38,400 --> 00:21:42,800 Speaker 1: sideways of course, sideline quarterbacking, But I mean, what is 379 00:21:42,840 --> 00:21:45,280 Speaker 1: the job of what what did you what did you 380 00:21:45,320 --> 00:21:47,520 Speaker 1: sign up for? Me? I mean, if not if not 381 00:21:47,680 --> 00:21:50,960 Speaker 1: for this day. If you're all to protect and serve, 382 00:21:51,160 --> 00:21:54,760 Speaker 1: isn't about this day and not about making sure your 383 00:21:54,800 --> 00:21:57,240 Speaker 1: own ass ends up back at home safe and sound 384 00:21:57,240 --> 00:21:59,160 Speaker 1: at the end of the day, or just you're you're 385 00:21:59,200 --> 00:22:02,960 Speaker 1: there to protect the whole community, to protect these people's babies, 386 00:22:03,320 --> 00:22:06,240 Speaker 1: and they're watching you do nothing. They're watching you go 387 00:22:06,320 --> 00:22:08,640 Speaker 1: in and take care of your own and do nothing 388 00:22:09,000 --> 00:22:14,040 Speaker 1: for them and their children. I mean, I can't. I 389 00:22:14,119 --> 00:22:19,240 Speaker 1: just cannot imagine what these parents are thinking and feeling 390 00:22:19,440 --> 00:22:22,960 Speaker 1: and going through watching How many of these guys were 391 00:22:23,000 --> 00:22:26,280 Speaker 1: on the scene. Oh, that's a question. One. There was 392 00:22:26,359 --> 00:22:29,280 Speaker 1: one gunman with no body armor and this was not 393 00:22:29,440 --> 00:22:33,159 Speaker 1: some you know, professionally trained. It's a random loser with 394 00:22:33,200 --> 00:22:37,000 Speaker 1: a fucking gun, and you useless cowards stood outside for 395 00:22:37,119 --> 00:22:43,000 Speaker 1: an hour and let him massacre these children. I the 396 00:22:43,040 --> 00:22:47,479 Speaker 1: good guys with guns in this one completely failed, and 397 00:22:47,560 --> 00:22:52,480 Speaker 1: thank god that that tactical border patrol team eventually showed up. 398 00:22:52,520 --> 00:22:55,280 Speaker 1: I can only imagine what they were thinking once they 399 00:22:55,560 --> 00:22:57,960 Speaker 1: landed on the scene and saw the total level of 400 00:22:58,040 --> 00:23:01,239 Speaker 1: cowardice in competence that was unfolding. To hear some interviews here, 401 00:23:01,280 --> 00:23:03,320 Speaker 1: I think with those gentlemen because I think what happened 402 00:23:03,400 --> 00:23:05,200 Speaker 1: very likely is that these guys who happened to be 403 00:23:05,240 --> 00:23:06,960 Speaker 1: off duty, you know, who even live in the area 404 00:23:07,080 --> 00:23:09,080 Speaker 1: around the area, they probably showed up. These are you know, 405 00:23:09,119 --> 00:23:12,200 Speaker 1: the real professionals, probably trained for these types of situations, 406 00:23:12,200 --> 00:23:13,800 Speaker 1: came up and they were like, what the hell is 407 00:23:13,840 --> 00:23:16,280 Speaker 1: going on here? And then even then, you know, there's 408 00:23:16,320 --> 00:23:20,119 Speaker 1: a lot For example, the Border Patrol tactical agent who 409 00:23:20,280 --> 00:23:22,359 Speaker 1: arrived on the scene and was with the team that 410 00:23:22,440 --> 00:23:26,440 Speaker 1: eventually killed Ramos. When they arrived, they found the door 411 00:23:26,560 --> 00:23:28,520 Speaker 1: locked and had to go get a key to unlock 412 00:23:28,600 --> 00:23:31,280 Speaker 1: the door. Now, first of all, I don't understand why, 413 00:23:31,400 --> 00:23:34,159 Speaker 1: you know, with the weapons and the material they have 414 00:23:34,240 --> 00:23:36,760 Speaker 1: at their disposal, why you even would take the time 415 00:23:37,119 --> 00:23:39,040 Speaker 1: to go, you know, find the key. But here's the 416 00:23:39,040 --> 00:23:41,840 Speaker 1: other thing. Does that mean that the police officers who 417 00:23:41,840 --> 00:23:44,440 Speaker 1: were there initially did not think to try to try 418 00:23:44,480 --> 00:23:46,199 Speaker 1: to open the door. That's what I'm saying. They did 419 00:23:46,359 --> 00:23:48,439 Speaker 1: not even try to open the door. I mean, they 420 00:23:48,480 --> 00:23:50,679 Speaker 1: didn't even try to go and get the key. So 421 00:23:50,960 --> 00:23:55,120 Speaker 1: all indications here really just show us a pretty tremendous 422 00:23:55,800 --> 00:23:59,000 Speaker 1: bungling here by the police. And I put this out 423 00:23:59,000 --> 00:24:04,040 Speaker 1: this morning. I mean look, Governor Abbott, Governor Attorney General Paxton, 424 00:24:04,560 --> 00:24:06,600 Speaker 1: you owe it to the people of Texas, to all 425 00:24:06,640 --> 00:24:10,679 Speaker 1: of us. We need a full scale, actual investigation of 426 00:24:10,760 --> 00:24:15,479 Speaker 1: Texas DPS, UVE ALLVPD border patrol. The initial response this 427 00:24:15,520 --> 00:24:18,719 Speaker 1: is Parkland two point zero. I mean, that's exactly what 428 00:24:18,760 --> 00:24:22,320 Speaker 1: happened with Steve, Steve Israel and his crew, the Broward 429 00:24:22,359 --> 00:24:25,560 Speaker 1: County officer there in Parkland. He was securing the perimeter 430 00:24:25,680 --> 00:24:28,320 Speaker 1: while there were the kids slaughtered there. You know, Nicholas Cruise, 431 00:24:28,800 --> 00:24:30,879 Speaker 1: Like I said, I mean, it takes a while to 432 00:24:30,960 --> 00:24:33,879 Speaker 1: kill this many kids, and I know it's macab But 433 00:24:34,320 --> 00:24:37,200 Speaker 1: that's why Nicholas Cruz was able to go and kill 434 00:24:37,320 --> 00:24:39,760 Speaker 1: so many people was because he was I think he 435 00:24:39,840 --> 00:24:42,720 Speaker 1: was in there for forty some odd minutes. I basically 436 00:24:42,800 --> 00:24:49,080 Speaker 1: came out he was basically Let's talk about the primary results. 437 00:24:49,200 --> 00:24:51,679 Speaker 1: Let's put this up there on the screen. We'll start 438 00:24:51,680 --> 00:24:54,960 Speaker 1: here with Brian Kemp. So here's what happened last night. 439 00:24:55,240 --> 00:24:59,040 Speaker 1: Georgia Governor Brian Kemp doesn't just win the GOP primary, 440 00:24:59,600 --> 00:25:04,679 Speaker 1: as sslutely obliterates David Perdue seventy two percent of the 441 00:25:04,760 --> 00:25:09,720 Speaker 1: vote to Purdue's twenty two percent of the vote, and 442 00:25:09,880 --> 00:25:13,760 Speaker 1: you guys will recall David Perdue famously said we may 443 00:25:13,800 --> 00:25:16,879 Speaker 1: not win, but we're not going to lose by thirty. 444 00:25:17,200 --> 00:25:20,640 Speaker 1: Well he was right. He was actually down by fifty 445 00:25:21,000 --> 00:25:24,119 Speaker 1: in that race. I mean, there's no other way to 446 00:25:24,160 --> 00:25:30,080 Speaker 1: describe this except a complete and utter humiliation of David Perdue, 447 00:25:30,320 --> 00:25:32,440 Speaker 1: who was once a high ranking member of the United 448 00:25:32,480 --> 00:25:35,399 Speaker 1: States Senate on the Republican Party, and of Donald Trump. 449 00:25:35,600 --> 00:25:37,720 Speaker 1: Let's put this up there on the screen. This is 450 00:25:37,960 --> 00:25:40,439 Speaker 1: a great political report actually on how we're going to 451 00:25:40,440 --> 00:25:44,080 Speaker 1: go effing scorched earth, how Brian Kemp crushed Trump in Georgia. 452 00:25:44,119 --> 00:25:46,480 Speaker 1: And what they point to is that Kemp is honestly 453 00:25:46,640 --> 00:25:50,360 Speaker 1: a very savvy politician. He never said a goddamn word 454 00:25:50,400 --> 00:25:52,560 Speaker 1: about Trump. He just did what he had to do. 455 00:25:53,280 --> 00:25:56,560 Speaker 1: He moved on from the election. He courted the base 456 00:25:56,800 --> 00:26:01,919 Speaker 1: on every issue, CRT voting, all this stuff. Then he 457 00:26:02,000 --> 00:26:06,520 Speaker 1: actually strategically appointed many of his biggest critics to high 458 00:26:06,520 --> 00:26:10,000 Speaker 1: office in the state of Georgia. He never really addressed 459 00:26:10,080 --> 00:26:13,400 Speaker 1: any of Trump's major concerns. And I think the Republican 460 00:26:13,440 --> 00:26:16,280 Speaker 1: base was said, yeah, we want to move on from 461 00:26:16,280 --> 00:26:18,199 Speaker 1: twenty twenty. They're like, yeah, I guess we think the 462 00:26:18,200 --> 00:26:21,639 Speaker 1: election was stolen. But you know, Brian Kemp, he seems 463 00:26:21,680 --> 00:26:24,640 Speaker 1: like a good guy. And I can't help but come 464 00:26:24,680 --> 00:26:28,040 Speaker 1: back to this, which is that I love whenever this happens, 465 00:26:28,080 --> 00:26:31,160 Speaker 1: just to show you that people are not automatons. They 466 00:26:31,160 --> 00:26:33,199 Speaker 1: don't just go well, Donald Trump said to vote for him, 467 00:26:33,200 --> 00:26:35,719 Speaker 1: so I'm going to vote for him. People think for themselves. 468 00:26:36,200 --> 00:26:39,480 Speaker 1: Americans are smart. They could look at David Perdue and say, 469 00:26:39,600 --> 00:26:42,840 Speaker 1: this guy's moron. He literally doesn't want to be governor 470 00:26:42,880 --> 00:26:45,359 Speaker 1: for any other reason except his own personal vanity and 471 00:26:45,440 --> 00:26:48,760 Speaker 1: because of whatever happened in twenty twenty. This guy, Brian Kemp, 472 00:26:48,800 --> 00:26:52,399 Speaker 1: at least, you know, purports to do what we asked 473 00:26:52,480 --> 00:26:54,600 Speaker 1: him to do, and so we're going to vote for 474 00:26:54,640 --> 00:26:56,959 Speaker 1: him no matter what Trump has to say. So a 475 00:26:57,119 --> 00:27:01,200 Speaker 1: massive rebuke of Donald Trump here in terms of how 476 00:27:01,280 --> 00:27:05,080 Speaker 1: much he can translate his personal political brand two issues 477 00:27:05,359 --> 00:27:08,320 Speaker 1: which people do not care about. Yeah. I think that's 478 00:27:08,359 --> 00:27:11,160 Speaker 1: the number one thing you can say. Stop the steal 479 00:27:11,440 --> 00:27:14,639 Speaker 1: is not enough. Yeah, it's just not. I mean, listen, 480 00:27:14,760 --> 00:27:17,480 Speaker 1: I never want to overstate these things, because Donald Trump's 481 00:27:17,520 --> 00:27:21,320 Speaker 1: endorsement is still the most important and most powerful endorsement 482 00:27:21,359 --> 00:27:23,239 Speaker 1: in all of politics. There's just no doubt about it. 483 00:27:23,560 --> 00:27:26,080 Speaker 1: I mean, you know, he endorsed Vance at kind of 484 00:27:26,119 --> 00:27:28,760 Speaker 1: the right moment when Vance was already rising the peoples. 485 00:27:28,800 --> 00:27:32,160 Speaker 1: That's right. But you know, he did help him get 486 00:27:32,200 --> 00:27:35,320 Speaker 1: over the finish line. It appears that he may have 487 00:27:35,359 --> 00:27:37,320 Speaker 1: given Oz the boost that he needed to get over 488 00:27:37,400 --> 00:27:41,600 Speaker 1: the finish line. I do also think that partly these 489 00:27:41,720 --> 00:27:45,400 Speaker 1: executive offices are a bit of a different deal than 490 00:27:45,720 --> 00:27:50,280 Speaker 1: federal legislators. So to your point about Kemp, this guy, 491 00:27:50,720 --> 00:27:53,159 Speaker 1: I mean, this is a very right wing guy. He 492 00:27:53,440 --> 00:27:56,440 Speaker 1: checked the box for the Republican base on literally every 493 00:27:56,480 --> 00:28:01,119 Speaker 1: issue from guns to abortion to CRT too voting and 494 00:28:01,240 --> 00:28:05,960 Speaker 1: so he lower taxes, and so when it came time 495 00:28:06,080 --> 00:28:09,320 Speaker 1: for people to vote, they said, okay, that's nice Donald Trump. 496 00:28:09,359 --> 00:28:12,160 Speaker 1: You're not real happy with him, but listen, we've seen 497 00:28:12,200 --> 00:28:14,840 Speaker 1: who he is and we kind of we're good with 498 00:28:14,920 --> 00:28:17,240 Speaker 1: him right now. And so you really see the limit, 499 00:28:17,680 --> 00:28:20,879 Speaker 1: like the size of the pure stop the steel Donald 500 00:28:20,880 --> 00:28:24,040 Speaker 1: Trump vote, and it looks to be around twenty percent. 501 00:28:24,480 --> 00:28:27,840 Speaker 1: The other one that is really incredible, is maybe even 502 00:28:27,880 --> 00:28:32,040 Speaker 1: more remarkable, is Brad Rafthensberger, who's the Secretary of State, 503 00:28:32,520 --> 00:28:35,119 Speaker 1: who the only thing that you would ever know this 504 00:28:35,200 --> 00:28:37,960 Speaker 1: man for is his opposition to Donald Trump and Stop 505 00:28:38,000 --> 00:28:39,760 Speaker 1: the Steal. I mean, what else do you know a secretary? 506 00:28:39,840 --> 00:28:41,760 Speaker 1: You don't know a secretary of State. That's the only 507 00:28:41,800 --> 00:28:43,720 Speaker 1: thing that they really have to do with. And so 508 00:28:43,840 --> 00:28:47,720 Speaker 1: Donald Trump has his hand pick candidate Jody Hye. This 509 00:28:47,800 --> 00:28:50,240 Speaker 1: thing in the pulling looked like it was going to 510 00:28:50,320 --> 00:28:54,240 Speaker 1: be very close. Rafthensburger not only one, but he won 511 00:28:54,280 --> 00:28:57,160 Speaker 1: with over fifty percent of the vote, also avoiding runoffs, 512 00:28:57,240 --> 00:29:00,760 Speaker 1: meaning that he avoids a runoff. To me, that's almost 513 00:29:01,000 --> 00:29:04,680 Speaker 1: more humiliating than what happened here with Kemp, because yeah, 514 00:29:04,760 --> 00:29:07,000 Speaker 1: Kemp had other things that he could lean on, other 515 00:29:07,080 --> 00:29:10,200 Speaker 1: things people knew him for. This was just a pure 516 00:29:10,560 --> 00:29:13,240 Speaker 1: kind of litmus test of how do you feel about 517 00:29:13,280 --> 00:29:17,040 Speaker 1: Stop the Steal and Donald Trump? And ultimately he comes 518 00:29:17,120 --> 00:29:21,960 Speaker 1: up dramatically short. Trump's endorsements in a couple other governor's races, 519 00:29:22,200 --> 00:29:23,440 Speaker 1: and I think we're going to talk a little bit 520 00:29:23,440 --> 00:29:27,080 Speaker 1: more about this later also failed, notably in Idaho. He 521 00:29:27,280 --> 00:29:32,440 Speaker 1: endorsed theting lieutenant governor against the incumbent governor, and she 522 00:29:32,680 --> 00:29:35,920 Speaker 1: also came up, I mean she did very very poorly 523 00:29:36,320 --> 00:29:40,200 Speaker 1: in that Republican primary. So listen, as I said, the 524 00:29:40,240 --> 00:29:43,240 Speaker 1: man's endorsement still matters a lot. Jody Heights wouldn't have 525 00:29:43,320 --> 00:29:46,600 Speaker 1: even been in the game, David Perdue wouldn't have even 526 00:29:46,640 --> 00:29:50,480 Speaker 1: been in the game without Donald Trump pumping and supporting 527 00:29:50,600 --> 00:29:54,720 Speaker 1: these candidates. But ultimately takes It's going to take more 528 00:29:54,760 --> 00:29:57,440 Speaker 1: than just saying stop the steal over and over again 529 00:29:57,800 --> 00:30:02,000 Speaker 1: to entice even republic Lon base voters. And that is 530 00:30:02,000 --> 00:30:04,480 Speaker 1: a warning sign for him for twenty twenty four because 531 00:30:05,360 --> 00:30:08,360 Speaker 1: he is obsessed with this and almost to the exclusion 532 00:30:08,400 --> 00:30:10,200 Speaker 1: of everything else. Yeah, and that's why it matters, which 533 00:30:10,240 --> 00:30:12,560 Speaker 1: is that if this is his only pet issue on 534 00:30:12,640 --> 00:30:15,680 Speaker 1: whether you're maga or not or whether you've gone awoke, 535 00:30:15,920 --> 00:30:18,320 Speaker 1: as we'll talk about in a bit with respect to 536 00:30:18,400 --> 00:30:22,920 Speaker 1: mister Bill Brooks, well, voters are going to say, you know, Donald, 537 00:30:23,080 --> 00:30:26,120 Speaker 1: it was a long time ago, and we've got inflation, 538 00:30:26,640 --> 00:30:29,200 Speaker 1: Biden is president, we have all sorts of problems in 539 00:30:29,200 --> 00:30:32,160 Speaker 1: this country, and in that case, we're just going to 540 00:30:32,200 --> 00:30:34,520 Speaker 1: go ahead and vote with the guy who we kind 541 00:30:34,520 --> 00:30:36,640 Speaker 1: of agree with. And I personally think that that is 542 00:30:36,680 --> 00:30:40,080 Speaker 1: a very welcome and good development for this country. I mean, look, 543 00:30:40,080 --> 00:30:44,200 Speaker 1: Brad Raffensberger and Brian Camp both obviously did the right thing. 544 00:30:44,320 --> 00:30:47,240 Speaker 1: And every once in a while, the good guy or okay, 545 00:30:47,320 --> 00:30:49,320 Speaker 1: the person who does the right thing and then is 546 00:30:49,320 --> 00:30:52,200 Speaker 1: attacked explicitly for doing the right thing does pull it 547 00:30:52,240 --> 00:30:54,880 Speaker 1: off in America. And it's nice to see because what 548 00:30:54,920 --> 00:30:58,440 Speaker 1: you can see here is that people, even the people 549 00:30:58,480 --> 00:31:02,160 Speaker 1: with MAGA faithful, which I think the majority of here's 550 00:31:02,200 --> 00:31:05,680 Speaker 1: a good one to square. GA primary voters voted to 551 00:31:05,760 --> 00:31:10,360 Speaker 1: keep three politicians in office yesterday Brian Kemp, Brad Raethlisberger, 552 00:31:10,760 --> 00:31:14,480 Speaker 1: Marjorie Taylor Green. So even people who vote for Marjorie 553 00:31:14,600 --> 00:31:17,320 Speaker 1: are willing to say, I'm going to vote for Brian Kemp, 554 00:31:17,400 --> 00:31:19,760 Speaker 1: I'm going to vote for by the way, and she 555 00:31:19,800 --> 00:31:21,760 Speaker 1: also won easily. Yeah, I know that was also cope 556 00:31:21,760 --> 00:31:24,240 Speaker 1: in order to the idea. But my point being here 557 00:31:24,360 --> 00:31:26,920 Speaker 1: is that even so called MAGA faithful and all those 558 00:31:26,960 --> 00:31:29,320 Speaker 1: people are not going to follow him down a path 559 00:31:29,360 --> 00:31:31,720 Speaker 1: that they just do not care about. So as much 560 00:31:31,720 --> 00:31:33,520 Speaker 1: as they like Trump, as much as they trust Trump, 561 00:31:33,720 --> 00:31:36,560 Speaker 1: it has to be in an area which aligns already 562 00:31:36,760 --> 00:31:38,959 Speaker 1: with the things that they care the most about, and 563 00:31:39,000 --> 00:31:41,880 Speaker 1: not a personal vanity project, which ultimately that's what all 564 00:31:41,880 --> 00:31:44,880 Speaker 1: stopped the steal actually is about Okay, why don't we 565 00:31:44,920 --> 00:31:47,280 Speaker 1: get to the Democrats? Okay, So the big race on 566 00:31:47,320 --> 00:31:50,800 Speaker 1: the Democratic side, another sort of war between the establishment 567 00:31:50,840 --> 00:31:55,160 Speaker 1: and progressive wings of the party is Henry Quaar, sitting incumbent. 568 00:31:55,600 --> 00:31:57,800 Speaker 1: Really you have to call him sort of a conservative Democrat, 569 00:31:57,800 --> 00:32:02,240 Speaker 1: maybe the most conservative Democrat remaining in the versus progressive 570 00:32:02,440 --> 00:32:06,280 Speaker 1: Justicas Cisnaros. This is her second time taking him on. 571 00:32:06,400 --> 00:32:09,400 Speaker 1: She's made it very close every single time, and this 572 00:32:09,440 --> 00:32:14,200 Speaker 1: one still, this race has not been called. The very latest, 573 00:32:14,240 --> 00:32:18,560 Speaker 1: per Steve Kornaki, is that Quaar leads by one hundred 574 00:32:18,640 --> 00:32:22,120 Speaker 1: and seventy seven votes. That's it there. Still, he says, 575 00:32:22,160 --> 00:32:24,280 Speaker 1: a very small number of provisional ballots to be counted, 576 00:32:24,320 --> 00:32:27,240 Speaker 1: and there are several counties that could still have a 577 00:32:27,280 --> 00:32:31,400 Speaker 1: few uncounted votes, and I recount certainly looms, So NBC 578 00:32:31,680 --> 00:32:36,640 Speaker 1: is not yet calling the race. What is extraordinary here, Sager, 579 00:32:36,760 --> 00:32:39,000 Speaker 1: is if you look at the map of this district. 580 00:32:39,560 --> 00:32:43,880 Speaker 1: This district goes from San Antonio down to the border, YEP, 581 00:32:44,120 --> 00:32:46,480 Speaker 1: and it was very divided in terms of the vote. 582 00:32:47,040 --> 00:32:54,160 Speaker 1: Overwhelmingly those border counties, which is Quaar's base, went for Quaar. Overwhelmingly, 583 00:32:54,480 --> 00:32:57,120 Speaker 1: the more northern parts of the district that are close 584 00:32:57,160 --> 00:33:02,480 Speaker 1: to San Antonio went for Cisnaros. Those margins hardened from 585 00:33:02,480 --> 00:33:06,080 Speaker 1: the original primary and from this runoff, which raises the 586 00:33:06,160 --> 00:33:10,360 Speaker 1: question of whether potentially Row versus Wade and the question 587 00:33:10,400 --> 00:33:14,520 Speaker 1: of abortion rights sort of hardened and further the divides 588 00:33:14,560 --> 00:33:17,200 Speaker 1: in this district interesting, but it is. It is very 589 00:33:17,200 --> 00:33:19,120 Speaker 1: interesting now quay are for those of you guys who 590 00:33:19,120 --> 00:33:23,440 Speaker 1: don't know, not only is he uh pro life, he 591 00:33:23,760 --> 00:33:26,479 Speaker 1: supports you know, he's opposed to Roe versus Wade, so 592 00:33:26,520 --> 00:33:30,040 Speaker 1: he's culturally conservative on that issue. He also is the 593 00:33:30,080 --> 00:33:34,640 Speaker 1: only Democrat in the House to vote against the pro Act, 594 00:33:34,920 --> 00:33:38,800 Speaker 1: so he's also anti union. He's very close to big oil. 595 00:33:38,800 --> 00:33:40,760 Speaker 1: It gets a lot of donations from the oil and 596 00:33:40,800 --> 00:33:43,400 Speaker 1: gas industry, which kind of like, you know, given where 597 00:33:43,440 --> 00:33:46,640 Speaker 1: his district is, that makes sense. He also his office 598 00:33:46,680 --> 00:33:50,400 Speaker 1: and his home was rated by the FBI seemingly for 599 00:33:50,520 --> 00:33:58,120 Speaker 1: some very questionable dealings with Azerbaijan. Yeah, he and his wife, 600 00:33:58,600 --> 00:34:01,400 Speaker 1: she has some businesses. He like been the leader of 601 00:34:01,480 --> 00:34:04,720 Speaker 1: the Friends of Azerbaijan caucus, as one does anyway, and 602 00:34:04,760 --> 00:34:07,200 Speaker 1: the FBI said they're not going to clear before election day, 603 00:34:07,240 --> 00:34:11,319 Speaker 1: so that also was looming over this. Now, there was 604 00:34:11,360 --> 00:34:14,200 Speaker 1: a lot of big money that came in for Quaar 605 00:34:14,440 --> 00:34:16,960 Speaker 1: from the places that we have been seeing big money 606 00:34:17,080 --> 00:34:20,880 Speaker 1: come in to try to crush progressive candidates, in particular 607 00:34:21,160 --> 00:34:25,520 Speaker 1: DMFI Democrat majority for Israel and what appears to be 608 00:34:25,520 --> 00:34:29,000 Speaker 1: a sort of aligned superpack backed by billionaire Reid Hoffman 609 00:34:29,160 --> 00:34:31,799 Speaker 1: called the mainstream Democrats that came in big for him 610 00:34:31,840 --> 00:34:35,640 Speaker 1: in the final weeks. And if indeed this less than 611 00:34:35,640 --> 00:34:39,239 Speaker 1: two hundred vote margin holds, that may have ultimately been 612 00:34:39,280 --> 00:34:41,440 Speaker 1: the difference. Now, I do want to say, Saber. The 613 00:34:41,480 --> 00:34:47,360 Speaker 1: other thing that's interesting here is unions also despised Quaar. 614 00:34:48,200 --> 00:34:52,239 Speaker 1: CWA in particular has a beef with him, and so 615 00:34:52,320 --> 00:34:54,360 Speaker 1: there was also union money that came in on the 616 00:34:54,440 --> 00:34:58,040 Speaker 1: side of Cisnaro. So she did have some backup in 617 00:34:58,120 --> 00:35:02,279 Speaker 1: terms of independent expenditures in this. But it is as 618 00:35:02,440 --> 00:35:05,520 Speaker 1: close as it possibly could be right now. It looks 619 00:35:05,560 --> 00:35:08,359 Speaker 1: like Quaar is going to be able to narrowly hold on. 620 00:35:08,760 --> 00:35:11,719 Speaker 1: But pretty extraordinary dynamics here. Oh yeah, I mean this 621 00:35:11,760 --> 00:35:14,120 Speaker 1: part of text. I love this part of Texas again 622 00:35:14,280 --> 00:35:17,000 Speaker 1: so much history. It really is kind of the last 623 00:35:17,080 --> 00:35:20,040 Speaker 1: vestiges of like the Frontier West in terms of how 624 00:35:20,400 --> 00:35:22,600 Speaker 1: it works down there, and you know, in terms of 625 00:35:22,600 --> 00:35:25,319 Speaker 1: the history. So just to give people context, some of 626 00:35:25,320 --> 00:35:27,200 Speaker 1: the counties here that we talked a lot about back 627 00:35:27,239 --> 00:35:30,319 Speaker 1: in twenty twenty, Zapata County, in Star County. These are 628 00:35:30,360 --> 00:35:33,800 Speaker 1: those South Texas border towns which either went for Trump 629 00:35:33,840 --> 00:35:35,600 Speaker 1: in the case of one of them, or came within 630 00:35:35,680 --> 00:35:38,440 Speaker 1: five points. So Joe Biden only won Star County by 631 00:35:38,480 --> 00:35:41,480 Speaker 1: about five points over Donald Trump, even though Hillary won 632 00:35:41,520 --> 00:35:44,040 Speaker 1: that by fifty eight points, So a bit of a 633 00:35:44,080 --> 00:35:46,960 Speaker 1: swing in terms of how it worked down there. These 634 00:35:47,000 --> 00:35:49,280 Speaker 1: are places where there really is kind of an emerging 635 00:35:49,640 --> 00:35:52,800 Speaker 1: gop Ish coalition with a lot of these voters. And 636 00:35:52,840 --> 00:35:54,680 Speaker 1: I'm looking at the map and it makes total sense 637 00:35:54,680 --> 00:35:56,200 Speaker 1: the way that you broke it down, which is that 638 00:35:56,480 --> 00:36:00,440 Speaker 1: the Texas border counties came in for Quaar at like 639 00:36:00,640 --> 00:36:02,800 Speaker 1: seventy percent of the vote. I mean talking to you know, 640 00:36:02,840 --> 00:36:06,840 Speaker 1: in Star County eighty percent, Quaar, Zapata eighty eight percent, Quaar, 641 00:36:07,160 --> 00:36:11,720 Speaker 1: Jim Hogg County seventy eight percent, Jim Webb County seventy percent, 642 00:36:11,960 --> 00:36:15,799 Speaker 1: Duval County sixty eight percent. But then those surrounding more 643 00:36:15,920 --> 00:36:20,000 Speaker 1: urban areas around San Antonio came in equally hard for Cscenaros. 644 00:36:20,000 --> 00:36:24,160 Speaker 1: You know, the one nearest Guadalupe County at ninety one percent, 645 00:36:24,480 --> 00:36:28,600 Speaker 1: Besar at eighty five, at Atasca at sixty seven, and 646 00:36:28,719 --> 00:36:31,080 Speaker 1: mccollin at fifty two. That was a little bit more 647 00:36:31,120 --> 00:36:33,799 Speaker 1: of a split, But that just shows you just how 648 00:36:33,840 --> 00:36:36,960 Speaker 1: different the dynamics are. Even though, and this is what 649 00:36:37,040 --> 00:36:41,000 Speaker 1: I do love about Texas. This is a majority Hispanic district, 650 00:36:41,040 --> 00:36:45,399 Speaker 1: Like most of these people are Hispanic, but culturally, if 651 00:36:45,440 --> 00:36:48,560 Speaker 1: you live near the city, you're more likely to be liberal. Culturally, 652 00:36:48,680 --> 00:36:51,719 Speaker 1: if you live down on the border town, you're more 653 00:36:51,760 --> 00:36:56,000 Speaker 1: of a Vakaro Texas mindset. So the type of cultural 654 00:36:56,040 --> 00:37:02,640 Speaker 1: difference between these two distinct Texans disproportionately likely to be Hispanic, 655 00:37:02,880 --> 00:37:05,160 Speaker 1: is just on display in the same way that it's 656 00:37:05,200 --> 00:37:08,400 Speaker 1: on display across the entire country, and it just splits 657 00:37:08,440 --> 00:37:12,000 Speaker 1: so hard. I think that's it really is pretty fascinating. 658 00:37:12,880 --> 00:37:15,960 Speaker 1: I think also for Quaar, he's just got very deep 659 00:37:16,080 --> 00:37:20,799 Speaker 1: roots in those border communities, and so I think, you know, 660 00:37:20,920 --> 00:37:23,279 Speaker 1: that certainly bolsters him in that area. I was talking 661 00:37:23,320 --> 00:37:25,560 Speaker 1: to our friend Colin Rajero, who's done a lot of 662 00:37:25,960 --> 00:37:28,920 Speaker 1: work in that region and is one of the better 663 00:37:29,360 --> 00:37:33,279 Speaker 1: Latino strategists on the Democratic side and was actually doing 664 00:37:33,320 --> 00:37:36,160 Speaker 1: some of the Union I ees in this particular race, 665 00:37:36,160 --> 00:37:37,719 Speaker 1: and I was asking him, you know, kind of tell 666 00:37:37,719 --> 00:37:40,960 Speaker 1: me about the typical voter in these border counties, and 667 00:37:41,000 --> 00:37:44,279 Speaker 1: he said, there do you tend to be obviously more 668 00:37:44,280 --> 00:37:49,839 Speaker 1: culturally conservative, but that's not necessary, like abortion isn't necessarily 669 00:37:50,000 --> 00:37:53,799 Speaker 1: the voting issue. But he said, you know, they both 670 00:37:53,840 --> 00:37:57,280 Speaker 1: are very are sort of pro worker rights and pro labor, 671 00:37:57,480 --> 00:38:02,600 Speaker 1: but also very business orient very entrepreneurial. So it's just 672 00:38:03,040 --> 00:38:06,520 Speaker 1: a different cultural dynamic than you're going to find in 673 00:38:06,560 --> 00:38:08,360 Speaker 1: almost any other part of the country. And then to 674 00:38:08,360 --> 00:38:12,760 Speaker 1: see the divide in this district so clearly, and that's why, 675 00:38:12,880 --> 00:38:15,120 Speaker 1: you know, that's why it's so hard to say definitively 676 00:38:15,440 --> 00:38:18,360 Speaker 1: what's going to happen here. Also because if there's another 677 00:38:18,400 --> 00:38:21,960 Speaker 1: little pocket of voters in the San Antonio suburbs, which 678 00:38:21,960 --> 00:38:24,239 Speaker 1: she went, then she wins. If the remaining pocket of 679 00:38:24,280 --> 00:38:27,439 Speaker 1: voters is down in Zapata County or Star County, that's 680 00:38:27,480 --> 00:38:29,200 Speaker 1: going to go overwhelmingly for Quare, and then he's going 681 00:38:29,239 --> 00:38:31,680 Speaker 1: to have a more clear victory on his hand. So 682 00:38:31,760 --> 00:38:34,439 Speaker 1: that's why this one is still too close to call 683 00:38:34,480 --> 00:38:38,600 Speaker 1: here ultimately. But you know this is also Quayer looks 684 00:38:38,640 --> 00:38:40,680 Speaker 1: like he's going to pull it off. But it is 685 00:38:40,719 --> 00:38:43,879 Speaker 1: embarrassing for the Democratic establishment that they go all in 686 00:38:43,920 --> 00:38:46,520 Speaker 1: with this dude, Nancy Pelosi and cliber and they can 687 00:38:46,600 --> 00:38:50,320 Speaker 1: barely I mean, their endorsement dis counts for less than nothing. 688 00:38:50,680 --> 00:38:53,480 Speaker 1: Biden stay down at this race even though he's endorsed, 689 00:38:53,520 --> 00:38:55,879 Speaker 1: so they're like he endorsed Dorsta Kurtry or my guess 690 00:38:55,960 --> 00:38:58,640 Speaker 1: is because Biden's approval rating is so dismal in the 691 00:38:58,760 --> 00:39:02,000 Speaker 1: region that it probably probably wouldn't really help kway are 692 00:39:02,160 --> 00:39:04,319 Speaker 1: might not really be a benefit to You may have said, 693 00:39:04,480 --> 00:39:07,239 Speaker 1: just like I got this, why don't you just go 694 00:39:07,320 --> 00:39:09,560 Speaker 1: do your thing in Washington. I'm not sure it would 695 00:39:09,560 --> 00:39:14,239 Speaker 1: have ultimately been useful, but definitely a fascinating race here on. 696 00:39:14,320 --> 00:39:16,880 Speaker 1: Oh yeah, absolutely, I can't wait to see more of it. 697 00:39:16,920 --> 00:39:18,759 Speaker 1: I just I really do love this part of the 698 00:39:18,760 --> 00:39:24,680 Speaker 1: country and it's fun to see it all play out. Finally, Okay, 699 00:39:24,840 --> 00:39:27,760 Speaker 1: let's move on to some more of the deeper problems 700 00:39:27,760 --> 00:39:30,960 Speaker 1: in American society to housing. Let's put this up there 701 00:39:31,000 --> 00:39:35,720 Speaker 1: on the screen this is very significant economic data. US 702 00:39:35,920 --> 00:39:39,160 Speaker 1: new home sales have plunged to the lowest since the 703 00:39:39,200 --> 00:39:43,240 Speaker 1: start of the pandemic. Now, the purchases of new single 704 00:39:43,280 --> 00:39:47,680 Speaker 1: family homes have fallen by most since twenty and thirteen, 705 00:39:48,160 --> 00:39:52,160 Speaker 1: but the median house price continues to set a record 706 00:39:52,360 --> 00:39:56,239 Speaker 1: as housing inventory is improving. I think there's only one 707 00:39:56,360 --> 00:39:58,880 Speaker 1: culprit in this entire thing, Crystal, and that is the 708 00:39:58,920 --> 00:40:02,040 Speaker 1: Federal Reserve. But the reason why that this matters is 709 00:40:02,160 --> 00:40:04,279 Speaker 1: what did we all find out in two thousand and eight. 710 00:40:04,560 --> 00:40:08,000 Speaker 1: It turns out the housing market is deeply financialized. And 711 00:40:08,040 --> 00:40:10,560 Speaker 1: you can say whatever you want about Dodd Frank and 712 00:40:10,800 --> 00:40:13,799 Speaker 1: all of that, it still continues to be massively financialized. 713 00:40:13,840 --> 00:40:17,360 Speaker 1: Big money, big capital is moving in here. And actually 714 00:40:17,640 --> 00:40:21,200 Speaker 1: the current rise in interest rates, while yes, it will 715 00:40:21,280 --> 00:40:24,839 Speaker 1: slow the housing market, I mean, how much of this 716 00:40:24,960 --> 00:40:28,440 Speaker 1: is basically going to guarantee that millennials will be a 717 00:40:28,840 --> 00:40:32,240 Speaker 1: relative permanent rentier class. Because if you could not afford 718 00:40:32,320 --> 00:40:36,040 Speaker 1: a home during the pandemic, which obviously it was crazy 719 00:40:36,120 --> 00:40:38,520 Speaker 1: boomers were paying cash and all this stuff, but at 720 00:40:38,560 --> 00:40:41,200 Speaker 1: least the interest rates were low. We're talking like two 721 00:40:41,280 --> 00:40:43,799 Speaker 1: to three percent. How the hell are you supposed to 722 00:40:43,840 --> 00:40:47,040 Speaker 1: do so when the interest rate is at five percent, 723 00:40:47,160 --> 00:40:50,520 Speaker 1: which it was last week, five point twenty five increase 724 00:40:50,600 --> 00:40:53,520 Speaker 1: up from three which is the single highest increase in 725 00:40:53,560 --> 00:40:58,080 Speaker 1: the mortgage rate in modern American history, and it's only 726 00:40:58,120 --> 00:41:00,200 Speaker 1: going to look. We all know inflation is good to 727 00:41:00,239 --> 00:41:02,760 Speaker 1: be here now for years. It's for a variety of reasons, 728 00:41:02,800 --> 00:41:05,480 Speaker 1: supply and all of that. And the only blunt instrument 729 00:41:05,520 --> 00:41:07,440 Speaker 1: we have is the interest rate. I mean, what are 730 00:41:07,440 --> 00:41:09,560 Speaker 1: they going to jack it up to eight percent in 731 00:41:09,600 --> 00:41:11,680 Speaker 1: that environment? It's not going to be possible if you 732 00:41:11,680 --> 00:41:13,400 Speaker 1: are a young person out there and then mortgage rate 733 00:41:13,480 --> 00:41:15,319 Speaker 1: is eight percent, I mean just say goodbye. Well, I 734 00:41:15,280 --> 00:41:18,600 Speaker 1: mean you're just you're like screwed either way, because if 735 00:41:18,600 --> 00:41:21,640 Speaker 1: the housing market continues to be extremely hot, the prices 736 00:41:21,680 --> 00:41:23,560 Speaker 1: continue to escalate, you can't afford that, and you can't 737 00:41:23,600 --> 00:41:26,440 Speaker 1: afford it if they jack up the interest rates. Then, 738 00:41:26,560 --> 00:41:28,080 Speaker 1: just to give you a sense of how much this 739 00:41:28,160 --> 00:41:31,440 Speaker 1: matters in terms of your monthly mortgage payment, in April, 740 00:41:31,480 --> 00:41:33,960 Speaker 1: the monthly mortgage payment on the typical home jumped to 741 00:41:34,200 --> 00:41:37,160 Speaker 1: almost fifteen hundred dollars. That's assuming a thirty year fixtory 742 00:41:37,160 --> 00:41:40,680 Speaker 1: mortgage with a twenty percent down payment that's up thirty 743 00:41:40,719 --> 00:41:44,359 Speaker 1: four percent since December and fifty three percent from just 744 00:41:44,400 --> 00:41:48,000 Speaker 1: a year ago. So that's how much it matters these 745 00:41:48,080 --> 00:41:49,880 Speaker 1: because it sounds like a little l is just lifted. 746 00:41:49,880 --> 00:41:53,600 Speaker 1: A couple no, no, no has increased the monthly mortgage 747 00:41:53,640 --> 00:41:58,560 Speaker 1: payment by fifty percent, So it makes a huge difference. 748 00:41:58,680 --> 00:42:01,920 Speaker 1: And the housing mark it is actually what the FED 749 00:42:02,120 --> 00:42:06,240 Speaker 1: is directly targeting because it is such a large percentage 750 00:42:06,239 --> 00:42:08,640 Speaker 1: of the economy and because it is the one thing 751 00:42:08,800 --> 00:42:11,840 Speaker 1: that these morgarate you know, are very sensitive to whatever 752 00:42:11,880 --> 00:42:15,840 Speaker 1: the FED rate ultimately is. Whereas you know, the FED 753 00:42:15,880 --> 00:42:19,600 Speaker 1: can't do anything about a supply chain crisis directly, so 754 00:42:19,840 --> 00:42:22,400 Speaker 1: it's less likely to have as much of an impact there. 755 00:42:22,840 --> 00:42:26,399 Speaker 1: There's some signs that, as opposed to previous times when 756 00:42:26,400 --> 00:42:30,000 Speaker 1: the FED has tried to use the lifting interest rates 757 00:42:30,040 --> 00:42:32,759 Speaker 1: to cool the housing market, there's some signs that there's 758 00:42:32,800 --> 00:42:38,160 Speaker 1: a little bit of resistance here. More buyers say that 759 00:42:38,320 --> 00:42:40,919 Speaker 1: they don't really care what the interest rate is. They've 760 00:42:40,920 --> 00:42:43,040 Speaker 1: decided they want a home and that's that. Now. Ultimately, 761 00:42:43,040 --> 00:42:44,560 Speaker 1: when the rubber meets the road and they're looking at 762 00:42:44,600 --> 00:42:47,799 Speaker 1: their payments, of them might change this. But the other 763 00:42:47,880 --> 00:42:51,560 Speaker 1: piece here is that so much of the housing stock 764 00:42:51,680 --> 00:42:55,280 Speaker 1: is being snatched up by investors and by permanent capital 765 00:42:55,640 --> 00:42:58,680 Speaker 1: that are less price sensitive, that that also could make 766 00:42:58,719 --> 00:43:03,000 Speaker 1: it more difficult to will be hot housing market. Corporate 767 00:43:03,040 --> 00:43:07,359 Speaker 1: and individual investors accounted for twenty one percent of home 768 00:43:07,400 --> 00:43:10,920 Speaker 1: purchases in December. That's up from seventeen percent just a 769 00:43:11,000 --> 00:43:15,359 Speaker 1: year earlier. So, as we've discussed before, the fact that 770 00:43:15,400 --> 00:43:18,880 Speaker 1: you have permanent capital coming in, in some cases buying 771 00:43:18,960 --> 00:43:24,520 Speaker 1: up entire communities on mass and attempting to turn millennials 772 00:43:24,600 --> 00:43:29,480 Speaker 1: and Zoomers into a permanent renter class has also contributed 773 00:43:29,600 --> 00:43:33,400 Speaker 1: to just the complete inability of first time home buyers 774 00:43:33,440 --> 00:43:35,840 Speaker 1: to get into this market. And you know, it matters 775 00:43:35,880 --> 00:43:37,719 Speaker 1: a lot. You guys know this. I mean, I don't 776 00:43:37,760 --> 00:43:40,880 Speaker 1: have to explain this to you, But because asset prices 777 00:43:40,920 --> 00:43:43,600 Speaker 1: have appreciated so rapidly and gone up and up and 778 00:43:43,680 --> 00:43:47,080 Speaker 1: up in this country, really the only way to get 779 00:43:47,160 --> 00:43:50,680 Speaker 1: your foot into that sort of stable middle class life 780 00:43:51,040 --> 00:43:54,400 Speaker 1: is to be an asset owner, be a homeowner. And 781 00:43:54,440 --> 00:43:56,719 Speaker 1: for the people who are locked out of that, that 782 00:43:56,880 --> 00:44:00,880 Speaker 1: puts them on a lifetime path of per care and 783 00:44:01,040 --> 00:44:04,120 Speaker 1: never building their own wealth, but always lining the pockets 784 00:44:04,200 --> 00:44:06,840 Speaker 1: of the landlord class. Oh absolutely. I mean I can't 785 00:44:06,840 --> 00:44:09,480 Speaker 1: emphasize that enough, which is that you know, boomers are 786 00:44:09,680 --> 00:44:12,879 Speaker 1: flush with cash right now, from the ability to sell 787 00:44:12,920 --> 00:44:16,239 Speaker 1: their houses, the ability to take loans based upon their 788 00:44:16,280 --> 00:44:19,399 Speaker 1: assets on their stock portfolios which they're now being able 789 00:44:19,440 --> 00:44:22,160 Speaker 1: to access. I mean, the amount of money that they 790 00:44:22,160 --> 00:44:25,520 Speaker 1: have relative to most other young people in this country 791 00:44:25,640 --> 00:44:29,719 Speaker 1: is is insane and astronomical, even when you compare how 792 00:44:29,800 --> 00:44:31,920 Speaker 1: much money they had at that time in their lives 793 00:44:32,080 --> 00:44:35,440 Speaker 1: versus how much money we have at this time in 794 00:44:35,480 --> 00:44:38,759 Speaker 1: our life. So it's a very tough situation. And the 795 00:44:39,560 --> 00:44:42,359 Speaker 1: worst thing is is what did we all learn from eight? 796 00:44:42,760 --> 00:44:45,640 Speaker 1: When the housing market flips, it takes it took what 797 00:44:45,920 --> 00:44:49,440 Speaker 1: a decade, twelve years to come back. I mean, if 798 00:44:49,480 --> 00:44:52,000 Speaker 1: you're on the older side of millennials, you're like thirty five, 799 00:44:52,120 --> 00:44:55,600 Speaker 1: thirty eight, something like that, I mean twelve years, like 800 00:44:55,640 --> 00:44:57,279 Speaker 1: do you you're going to be fifty years old? Like 801 00:44:57,320 --> 00:44:59,919 Speaker 1: that will mean that you literally will be nearing RETI 802 00:45:00,120 --> 00:45:03,560 Speaker 1: hirement without being able to buy a house. That's insane, 803 00:45:03,680 --> 00:45:07,680 Speaker 1: and you'll have two basic depressions slash recessions that happened 804 00:45:07,719 --> 00:45:10,799 Speaker 1: in your lifetime. And even when we were technically out 805 00:45:10,840 --> 00:45:13,080 Speaker 1: of the recession in twenty twelve. I mean, I don't 806 00:45:13,120 --> 00:45:15,360 Speaker 1: have to tell everybody who's watching this show. That is 807 00:45:15,400 --> 00:45:18,280 Speaker 1: really when we started to get hollowed out twelve thirteen, 808 00:45:18,480 --> 00:45:22,239 Speaker 1: fourteen fifteen, you know, the latter parts of the Obama administration, 809 00:45:22,360 --> 00:45:24,760 Speaker 1: That is when the majority of the money was wrote, 810 00:45:24,840 --> 00:45:27,880 Speaker 1: the last parts of the money that manufacturing more that 811 00:45:27,960 --> 00:45:31,040 Speaker 1: we even had here was going away. So the current 812 00:45:32,239 --> 00:45:35,200 Speaker 1: thing that we're looking at a downturn in the housing market, 813 00:45:35,200 --> 00:45:37,080 Speaker 1: which is the real way only that you're going to 814 00:45:37,120 --> 00:45:40,239 Speaker 1: be able to build wealth, combined with the decline in 815 00:45:40,280 --> 00:45:43,040 Speaker 1: retirement portfolios and the stock market and all of that, 816 00:45:43,120 --> 00:45:45,040 Speaker 1: which again you may not make money on the way up, 817 00:45:45,040 --> 00:45:47,280 Speaker 1: but you will lose money on the way down because 818 00:45:47,280 --> 00:45:50,320 Speaker 1: of the ripple effects in the economy. It's really bad. 819 00:45:50,560 --> 00:45:54,560 Speaker 1: I even look at retailers, Crystal, We're looking at Target 820 00:45:54,560 --> 00:45:56,799 Speaker 1: and Walmart. I mean, they're getting hammered because people are 821 00:45:56,840 --> 00:46:02,040 Speaker 1: not spending money anymore. Like people just don't have disposable cash. 822 00:46:02,239 --> 00:46:06,560 Speaker 1: And I see it everywhere every day I drive home. 823 00:46:07,080 --> 00:46:10,600 Speaker 1: The gas station is you know, first it was four fifty, 824 00:46:10,680 --> 00:46:12,920 Speaker 1: then it was four to seventy five. Now it's up 825 00:46:12,920 --> 00:46:15,719 Speaker 1: to five to ten a gallon, even here on the 826 00:46:15,760 --> 00:46:17,800 Speaker 1: East Coast. Yeah, if you hunt around, you can find 827 00:46:17,800 --> 00:46:20,040 Speaker 1: some which aren't too bad. You know, in the Bay Area, 828 00:46:20,040 --> 00:46:23,279 Speaker 1: in Menlo Park, California, the gas there's a gas station 829 00:46:23,360 --> 00:46:25,600 Speaker 1: there was seven seventy five a gallon. I mean, that's 830 00:46:25,760 --> 00:46:30,160 Speaker 1: crazy town. So when you consider the just dramatic reduction 831 00:46:30,400 --> 00:46:34,799 Speaker 1: in disposable income that Americans are experiencing so on the 832 00:46:34,840 --> 00:46:37,319 Speaker 1: wage side, and then the inability to build wealth, we're 833 00:46:37,360 --> 00:46:39,359 Speaker 1: looking at a very very bad picture. Oh, I think 834 00:46:39,360 --> 00:46:42,680 Speaker 1: over the the next decade unfortunately. Yeah, I think that's right. 835 00:46:42,760 --> 00:46:45,840 Speaker 1: And you know, it'll be very difficult for the Federal 836 00:46:45,840 --> 00:46:47,840 Speaker 1: Reserve wants to bring us in for a soft landing. 837 00:46:47,880 --> 00:46:50,880 Speaker 1: That's going to be that's going to be almost impossible 838 00:46:50,960 --> 00:46:54,600 Speaker 1: because I mean the tools they have are blunt tools. 839 00:46:54,800 --> 00:46:57,439 Speaker 1: They are you know, there's a delayed response to them. 840 00:46:57,719 --> 00:47:00,759 Speaker 1: So it's it's hard to see any path forward other 841 00:47:00,800 --> 00:47:02,520 Speaker 1: than pay which the American people already know. I mean, 842 00:47:02,520 --> 00:47:05,760 Speaker 1: we've been covering the numbers of seventy plus percent expecting 843 00:47:05,800 --> 00:47:08,440 Speaker 1: a recession, saying the economy is on the wrong track, 844 00:47:08,480 --> 00:47:10,760 Speaker 1: and feeling that they're getting a pay cut. Every single 845 00:47:10,760 --> 00:47:17,440 Speaker 1: week they know, so they're not yeah, exactly exactly. Okay, guys, 846 00:47:17,640 --> 00:47:19,600 Speaker 1: you're muffs for any kids down there. I regret to 847 00:47:19,600 --> 00:47:22,160 Speaker 1: inf me. We now have to talk about Elon Musk's dick. 848 00:47:22,480 --> 00:47:24,160 Speaker 1: Let's go ahead and put the tear sheet up on 849 00:47:24,160 --> 00:47:26,760 Speaker 1: the screen. I'm just going to read a significant amount 850 00:47:26,840 --> 00:47:29,480 Speaker 1: of this so a space This is from business Insider. 851 00:47:29,520 --> 00:47:31,840 Speaker 1: I do want to say this from a reporter, Rich McHugh, 852 00:47:32,000 --> 00:47:36,719 Speaker 1: who is not a hack whatsoever. He was the producer 853 00:47:37,200 --> 00:47:41,120 Speaker 1: who worked with Ronan Pharaoh to take down Harvey Weinstein, 854 00:47:41,280 --> 00:47:43,080 Speaker 1: you know much of the sugarn of the Clinton's. He 855 00:47:43,120 --> 00:47:46,960 Speaker 1: also is a reporter who did the serious journalism investigating 856 00:47:47,160 --> 00:47:50,000 Speaker 1: Tara Reid's claims against Joe Biden. So he has a 857 00:47:50,040 --> 00:47:54,600 Speaker 1: news story about Elon Musk regarding a settlement paid by 858 00:47:54,680 --> 00:47:58,400 Speaker 1: SpaceX for some claims made by a flight attendant. So 859 00:47:58,520 --> 00:48:02,279 Speaker 1: here's the headline. SpaceX flight attendant said Elon Musk exposed 860 00:48:02,360 --> 00:48:06,160 Speaker 1: himself and propositioned her for sex. Documents show that the 861 00:48:06,200 --> 00:48:09,800 Speaker 1: company paid two hundred and fifty thousand dollars for her silence. 862 00:48:10,320 --> 00:48:13,040 Speaker 1: Let me give you the details here. So this attendant 863 00:48:13,200 --> 00:48:15,040 Speaker 1: worked as a member of the cabin crew on a 864 00:48:15,080 --> 00:48:19,160 Speaker 1: contract basis for SpaceX's corporate jet fleet. She accused Musk 865 00:48:19,320 --> 00:48:22,239 Speaker 1: of exposing his erect penis to her, rubbing her leg 866 00:48:22,280 --> 00:48:24,960 Speaker 1: without consent, and offering to buy her a horse in 867 00:48:25,000 --> 00:48:30,000 Speaker 1: exchange for a neurotic massage. Okay, sorry, I shouldn't have 868 00:48:30,480 --> 00:48:34,200 Speaker 1: so weird. According to interviews and documents obtained by Insider, 869 00:48:34,280 --> 00:48:36,760 Speaker 1: the incident, which took place in twenty sixteen, is alleged 870 00:48:36,800 --> 00:48:40,600 Speaker 1: in a declaration signed by a friend of the attendant 871 00:48:40,640 --> 00:48:43,719 Speaker 1: and prepared in support of her claim. So this document, 872 00:48:44,040 --> 00:48:46,920 Speaker 1: this declaration from the friend, and the friend is the 873 00:48:46,920 --> 00:48:49,640 Speaker 1: person who was the source here for Rich McHugh. This 874 00:48:49,840 --> 00:48:53,520 Speaker 1: was a part of the mediation process by which they 875 00:48:53,560 --> 00:48:56,080 Speaker 1: came to this two hundred and fifty thousand dollars settlement amount, 876 00:48:56,440 --> 00:48:58,239 Speaker 1: he says. The details in the story are drawn from 877 00:48:58,280 --> 00:49:01,440 Speaker 1: this declaration, as well as other documents, including email correspondents 878 00:49:01,440 --> 00:49:04,920 Speaker 1: and other record shared with Insider by the friend. According 879 00:49:04,960 --> 00:49:07,920 Speaker 1: to that declaration, the attendant confided to that friend that 880 00:49:07,960 --> 00:49:10,640 Speaker 1: after taking the flight attendant job, she was encouraged to 881 00:49:10,640 --> 00:49:13,160 Speaker 1: get licensed as a massuse so that she could give 882 00:49:13,280 --> 00:49:17,400 Speaker 1: Musk messages gross. That massage is rather it sort of 883 00:49:17,480 --> 00:49:20,160 Speaker 1: gross to me that she was encouraged or sort of 884 00:49:20,200 --> 00:49:22,960 Speaker 1: forced to get this massuse license on her own dime. 885 00:49:23,040 --> 00:49:25,160 Speaker 1: By the way, it was during one such massage in 886 00:49:25,200 --> 00:49:28,040 Speaker 1: a private cabin on Musk Gulf Stream that she told 887 00:49:28,080 --> 00:49:31,239 Speaker 1: the friend Musk propositioned her. The flight attendant told her friend, 888 00:49:31,280 --> 00:49:33,520 Speaker 1: the billionaire SpaceX and Tesla founder asked her to come 889 00:49:33,560 --> 00:49:35,319 Speaker 1: to his room during a flight for a quote full 890 00:49:35,360 --> 00:49:38,080 Speaker 1: body massage. When she arrived, she found that Musk was 891 00:49:38,080 --> 00:49:40,279 Speaker 1: completely naked except for a sheet covering the lower half 892 00:49:40,320 --> 00:49:43,479 Speaker 1: of his body. During the massage, the declaration says, Musk 893 00:49:43,640 --> 00:49:47,279 Speaker 1: quote exposed his genitals and then quote touched her and 894 00:49:47,320 --> 00:49:49,640 Speaker 1: offered to buy her a horse if she would quote 895 00:49:49,719 --> 00:49:53,560 Speaker 1: do more, referring to the performance of sex acts. Apparently 896 00:49:53,560 --> 00:49:55,600 Speaker 1: she was into horses, so the horse thing was not 897 00:49:56,360 --> 00:50:00,319 Speaker 1: completely insane. The attendants complaint was resolved quickly after a 898 00:50:00,360 --> 00:50:03,359 Speaker 1: session with the mediator that Musk personally attended. The matter 899 00:50:03,480 --> 00:50:05,920 Speaker 1: never reached a court of law or an arbitration proceeding. 900 00:50:05,920 --> 00:50:08,560 Speaker 1: In November twenty eighteen, Musk, SpaceX, and the flight attendant 901 00:50:08,640 --> 00:50:11,359 Speaker 1: entered into a severance agreement granting the attendant a two 902 00:50:11,400 --> 00:50:13,480 Speaker 1: hundred and fifty thousand dollars payment in exchange for a 903 00:50:13,480 --> 00:50:15,840 Speaker 1: promise not to sue over the claim. So basically what 904 00:50:15,920 --> 00:50:18,760 Speaker 1: happened here is she gets hired on a contract basis 905 00:50:18,800 --> 00:50:21,280 Speaker 1: as a flight attendant. She says that she was pressured 906 00:50:21,320 --> 00:50:24,200 Speaker 1: to get this massage license on her own dime so 907 00:50:24,200 --> 00:50:26,480 Speaker 1: she could give massage. Apparently I didn't know on SpaceX 908 00:50:26,520 --> 00:50:28,920 Speaker 1: like massages. I was going to say. My fay from 909 00:50:28,920 --> 00:50:31,560 Speaker 1: this thing is why does in how why does accompany 910 00:50:31,760 --> 00:50:35,400 Speaker 1: an in house massus? Yeah, it's a perfect executives. That's 911 00:50:35,400 --> 00:50:39,239 Speaker 1: that's a problem. Pretty weird, especially listen. If that's it 912 00:50:39,320 --> 00:50:42,000 Speaker 1: is weird. Yeah, and if that is part of the job, 913 00:50:42,440 --> 00:50:46,000 Speaker 1: then you hire people who are professionally trained massuses, or 914 00:50:46,080 --> 00:50:48,879 Speaker 1: if you want your attendants to get that certification, then 915 00:50:48,960 --> 00:50:50,920 Speaker 1: you pay for it. Okay, So I have an issue 916 00:50:50,920 --> 00:50:55,319 Speaker 1: with that. So then the you know, allegations unfold. She 917 00:50:55,640 --> 00:50:59,080 Speaker 1: was reportedly, according to the details from the frond, she's 918 00:50:59,160 --> 00:51:00,920 Speaker 1: very stressed about it. She thought, Okay, we can just 919 00:51:00,920 --> 00:51:02,200 Speaker 1: put it behind it, and I'm just going to pretend 920 00:51:02,280 --> 00:51:04,759 Speaker 1: like nothing happens and move forward. She also alleges she 921 00:51:04,840 --> 00:51:08,160 Speaker 1: was basically retaliated against for not going along with the 922 00:51:08,480 --> 00:51:11,040 Speaker 1: Horse for sex deal. So that's what we know. The 923 00:51:11,400 --> 00:51:13,400 Speaker 1: part we can say for sure is that there was 924 00:51:13,440 --> 00:51:16,600 Speaker 1: this two hundred and fifty thousand dollars settlement between the 925 00:51:16,640 --> 00:51:20,640 Speaker 1: company and this woman who is not being named in 926 00:51:20,800 --> 00:51:24,040 Speaker 1: the piece to protect her privacy. She also, I mean, 927 00:51:24,040 --> 00:51:26,280 Speaker 1: this kind of gets the free speech thing. She also 928 00:51:26,400 --> 00:51:29,000 Speaker 1: is bound by a non disclosure agreement. She's not allowed 929 00:51:29,000 --> 00:51:32,280 Speaker 1: to talk about it legally. Those type of non disclosure 930 00:51:32,280 --> 00:51:35,719 Speaker 1: agreements in cases of sexual harassment and assault have been 931 00:51:35,920 --> 00:51:38,759 Speaker 1: banned in certain states like California, but she is still 932 00:51:38,800 --> 00:51:40,360 Speaker 1: under one. So that's why, you know, one of the 933 00:51:40,360 --> 00:51:42,480 Speaker 1: reasons why she's not talking here. Yeah, I think that's right. 934 00:51:42,520 --> 00:51:44,920 Speaker 1: I mean, look, I really don't know whether it's true 935 00:51:45,000 --> 00:51:47,160 Speaker 1: or not. Obviously there's no waiting, right, So this is 936 00:51:47,200 --> 00:51:50,320 Speaker 1: based on affidavit of a friend. Also, in terms of 937 00:51:50,360 --> 00:51:53,520 Speaker 1: the payout, it was it was not actually about the 938 00:51:53,560 --> 00:51:55,719 Speaker 1: sexual harassment claim. It was about the fact that she 939 00:51:55,800 --> 00:51:58,120 Speaker 1: was retaliated against. That's what she would file it under 940 00:51:58,360 --> 00:52:01,879 Speaker 1: California employment law two hundred fifty thousand dollars. I mean, 941 00:52:01,920 --> 00:52:07,320 Speaker 1: you know you have retaliate right because of sexual harassment, right. Certainly, Again, 942 00:52:07,600 --> 00:52:10,040 Speaker 1: I don't know if it's true or not. Musk himself 943 00:52:10,280 --> 00:52:12,960 Speaker 1: appeared to know whether it was coming. So here I 944 00:52:13,080 --> 00:52:14,600 Speaker 1: seemed to know that it was coming. Let's put this 945 00:52:14,680 --> 00:52:18,439 Speaker 1: up there on the screen. He had tweeted previously that 946 00:52:18,520 --> 00:52:21,120 Speaker 1: in the past, I'd voted Democrat because they were mostly 947 00:52:21,120 --> 00:52:23,200 Speaker 1: the kindness party. Now they've become the party of division 948 00:52:23,200 --> 00:52:24,680 Speaker 1: and hate, so I can no longer support them. Out 949 00:52:24,680 --> 00:52:27,920 Speaker 1: of vote Republican now watch their dirty tricks campaign against 950 00:52:27,920 --> 00:52:30,880 Speaker 1: me unfold, and he followed up by that saying political 951 00:52:30,920 --> 00:52:34,120 Speaker 1: attacks on me will escalate dramatically in the coming months, 952 00:52:34,160 --> 00:52:36,360 Speaker 1: and so he's casting this as a part of this. 953 00:52:36,760 --> 00:52:39,959 Speaker 1: I in general have not seen this kind of take 954 00:52:40,200 --> 00:52:43,120 Speaker 1: you know, take the world by storm exactly with this story. 955 00:52:43,280 --> 00:52:45,640 Speaker 1: You know, we also, I think the most important thing 956 00:52:45,680 --> 00:52:47,560 Speaker 1: with these things is that you should also look for 957 00:52:47,640 --> 00:52:51,480 Speaker 1: others and whether there was any retaliatory actions or other 958 00:52:51,520 --> 00:52:53,080 Speaker 1: people to come out of the wood work. So we're 959 00:52:53,120 --> 00:52:55,239 Speaker 1: kind of in that phase, and especially if there's any 960 00:52:55,320 --> 00:52:57,879 Speaker 1: reporters who are working on that, that will serve as 961 00:52:57,920 --> 00:53:01,520 Speaker 1: a very big corroboration. I will say. What they have 962 00:53:01,640 --> 00:53:05,040 Speaker 1: said is that at least six women have sued Tesla 963 00:53:05,160 --> 00:53:09,640 Speaker 1: alleging sexual harassment, at a Tesla factory, but none of 964 00:53:09,640 --> 00:53:13,640 Speaker 1: the people who were there were alleged against Musk himself, 965 00:53:13,680 --> 00:53:16,320 Speaker 1: so this is the only one that we know of currently. 966 00:53:17,239 --> 00:53:20,200 Speaker 1: I did read Must, I've said, I've read must biography 967 00:53:20,480 --> 00:53:24,040 Speaker 1: and some other pretty critical stuff into him, and in general, 968 00:53:24,320 --> 00:53:26,960 Speaker 1: I'd never seen any reporting around this. But obviously this 969 00:53:27,440 --> 00:53:31,080 Speaker 1: was paid, so you know that's not deniable. Yeah, right, listen, 970 00:53:31,120 --> 00:53:32,640 Speaker 1: there's no way to know what happens. I think you're 971 00:53:32,680 --> 00:53:34,640 Speaker 1: right in terms of the public perception. If now there 972 00:53:34,680 --> 00:53:37,000 Speaker 1: are more women who come out, yeah, then it's you know, 973 00:53:37,160 --> 00:53:40,120 Speaker 1: then it definitely now. I mean, listen, there can be 974 00:53:40,160 --> 00:53:42,120 Speaker 1: it can be that there is only one woman that's 975 00:53:42,160 --> 00:53:44,120 Speaker 1: only done to one person. That doesn't mean that the 976 00:53:44,160 --> 00:53:47,799 Speaker 1: claims are invalid or not true. And as we said, 977 00:53:47,800 --> 00:53:50,319 Speaker 1: the number. The thing we definitely know is they did 978 00:53:50,320 --> 00:53:53,520 Speaker 1: pay it, very quickly, pay a settlement to this woman 979 00:53:53,680 --> 00:53:57,000 Speaker 1: to keep her quiet and make sure that she doesn't sue. 980 00:53:57,040 --> 00:53:59,640 Speaker 1: So that's what we know. I do want to say 981 00:53:59,640 --> 00:54:02,000 Speaker 1: one thing about his tweet there about like Democrats are 982 00:54:02,000 --> 00:54:03,239 Speaker 1: the Kindness Party. First of all, I think it's a 983 00:54:03,280 --> 00:54:05,359 Speaker 1: very childish way of viewing politics. But second of all, 984 00:54:05,680 --> 00:54:08,399 Speaker 1: the first comments he made saying that it was at 985 00:54:08,400 --> 00:54:12,000 Speaker 1: that convention for the what is it called call in podcast? 986 00:54:12,040 --> 00:54:16,040 Speaker 1: That's right, and his first comments were mostly focused on 987 00:54:16,600 --> 00:54:21,399 Speaker 1: Democrats are too close to unions, and unions, he said, 988 00:54:21,440 --> 00:54:25,080 Speaker 1: are another form of monopoly, which I don't even understand 989 00:54:25,080 --> 00:54:26,960 Speaker 1: how you can make that case, but whatever. But it 990 00:54:27,000 --> 00:54:29,000 Speaker 1: was sort of like a very it was that, and 991 00:54:29,040 --> 00:54:32,120 Speaker 1: he didn't like that they were close to trial lawyers. 992 00:54:32,200 --> 00:54:35,759 Speaker 1: It was this very just like standard issue plutocrat critique 993 00:54:35,760 --> 00:54:37,799 Speaker 1: of like, I don't like that I might have to 994 00:54:37,840 --> 00:54:40,160 Speaker 1: deal with a union or that I might get sued 995 00:54:40,239 --> 00:54:42,360 Speaker 1: for bad behavior. And then once there was kind of 996 00:54:42,360 --> 00:54:44,680 Speaker 1: an outcry about the way he framed that, then he 997 00:54:44,680 --> 00:54:47,080 Speaker 1: puts out this tweet that's much more and you know, 998 00:54:47,200 --> 00:54:49,719 Speaker 1: the oh, they're not they're divisive, et cetera, et cetera. 999 00:54:49,840 --> 00:54:52,080 Speaker 1: I will defend him on the union thing only within 1000 00:54:52,160 --> 00:54:53,880 Speaker 1: what happened, and you guys know I'm pro union and 1001 00:54:53,880 --> 00:54:56,239 Speaker 1: I've always supported it. That being said, I think it's 1002 00:54:56,320 --> 00:54:58,799 Speaker 1: bs that he got that there was that lobby that 1003 00:54:58,840 --> 00:55:02,080 Speaker 1: the union's pushed that make it so that the EV 1004 00:55:02,320 --> 00:55:05,920 Speaker 1: tax credits did not apply as much to Tesla and 1005 00:55:06,000 --> 00:55:08,680 Speaker 1: applied more to Ford and GS yeah, but he I 1006 00:55:08,760 --> 00:55:13,360 Speaker 1: think that's a notorious union buster. I'm not pickle like 1007 00:55:13,480 --> 00:55:16,279 Speaker 1: Wall Street Capital. I totally agree with you. They don't 1008 00:55:16,280 --> 00:55:19,320 Speaker 1: support the day. They have explicitly lobbied against Tesla. And 1009 00:55:19,320 --> 00:55:20,840 Speaker 1: by the way, if the Tesla people want to unionize, 1010 00:55:20,840 --> 00:55:22,799 Speaker 1: I would one hundred percent support. But what I'm saying 1011 00:55:22,880 --> 00:55:26,120 Speaker 1: is that the unions have used their political power to 1012 00:55:26,239 --> 00:55:28,239 Speaker 1: strike against him with the ev tax. But here's the 1013 00:55:28,280 --> 00:55:31,800 Speaker 1: other is wrong. I mean, that was ridiculous because he 1014 00:55:31,960 --> 00:55:35,200 Speaker 1: was like, Biden is like so close to the unions 1015 00:55:35,239 --> 00:55:37,400 Speaker 1: and does the bidding of the unions and so different 1016 00:55:37,400 --> 00:55:40,040 Speaker 1: from Barack Obama on this, which is also silly because 1017 00:55:40,040 --> 00:55:42,680 Speaker 1: we see Biden right now has the power to back 1018 00:55:42,760 --> 00:55:45,840 Speaker 1: up the Amazon labor union and isn't lifting a finger 1019 00:55:45,880 --> 00:55:47,319 Speaker 1: to do it. It'll have the photo op with them. 1020 00:55:47,400 --> 00:55:50,200 Speaker 1: So the analysis was silly. I agree, I'm saying in 1021 00:55:50,760 --> 00:55:53,360 Speaker 1: his mind, and look, I think every person is selfish, 1022 00:55:53,440 --> 00:55:56,840 Speaker 1: and his context is Tesla. Tesla has been explicitly screwed 1023 00:55:56,840 --> 00:55:59,560 Speaker 1: over by the Biden demonstration. Pete Budajetg won't even meet 1024 00:55:59,760 --> 00:56:02,440 Speaker 1: with Elon Musk. But don't you think it's telling that 1025 00:56:02,520 --> 00:56:05,279 Speaker 1: after he says that, then he switches to no, No, 1026 00:56:05,320 --> 00:56:08,480 Speaker 1: it's it's because they're device is totally. But I'm just 1027 00:56:08,520 --> 00:56:10,759 Speaker 1: you know, I will say, I think that if you're 1028 00:56:10,760 --> 00:56:13,680 Speaker 1: a serious person, then EV tax credit should be flat, 1029 00:56:13,920 --> 00:56:17,279 Speaker 1: if we should encourage evs as much as humans, and 1030 00:56:17,520 --> 00:56:19,800 Speaker 1: that in this case, in that case, the Union's messed 1031 00:56:19,880 --> 00:56:22,560 Speaker 1: up by using their political power. I mentioned that. No, no, 1032 00:56:22,920 --> 00:56:25,319 Speaker 1: I agree, But I'm saying the Biden people too. The 1033 00:56:25,360 --> 00:56:27,799 Speaker 1: fact that they are ostracizing Elon Musk, who has done 1034 00:56:27,800 --> 00:56:30,080 Speaker 1: more for this country in terms of the electric revolution 1035 00:56:30,160 --> 00:56:32,600 Speaker 1: than any other person. I think that's bs okay. But 1036 00:56:32,640 --> 00:56:34,879 Speaker 1: that's not even what he was talking about. I think 1037 00:56:34,920 --> 00:56:37,719 Speaker 1: that's a kind eat not even what he said in 1038 00:56:37,719 --> 00:56:39,759 Speaker 1: his statement though. I mean, I guess my bottom line 1039 00:56:39,760 --> 00:56:43,760 Speaker 1: here is he's acting exactly like you would expect a 1040 00:56:43,800 --> 00:56:47,360 Speaker 1: self interested billionaire to act, very true, especially for his company, 1041 00:56:47,400 --> 00:56:49,600 Speaker 1: which I agree with, I don't agree with. Let's move 1042 00:56:49,600 --> 00:56:51,920 Speaker 1: on anyway, Hilary about Hillary Clinton. All right, let's go 1043 00:56:51,920 --> 00:56:54,680 Speaker 1: ahead and talk about Hillary. So this has been all 1044 00:56:54,719 --> 00:56:57,200 Speaker 1: over the place, and there's a lot going on in 1045 00:56:57,320 --> 00:57:01,040 Speaker 1: terms of the actual finding. So the long away Durham trial, 1046 00:57:01,120 --> 00:57:04,640 Speaker 1: which has basically become a meme online has actually been happening. 1047 00:57:04,640 --> 00:57:07,040 Speaker 1: So let's put this up there on the screen. This 1048 00:57:07,080 --> 00:57:10,399 Speaker 1: is according to testimony from Robbie Mook. You guys might 1049 00:57:10,480 --> 00:57:14,680 Speaker 1: remember that name. It was Hillary Clinton's campaign manager, testifying 1050 00:57:14,960 --> 00:57:18,080 Speaker 1: in the trial regarding Michael Sussman. Now, what he says 1051 00:57:18,360 --> 00:57:21,800 Speaker 1: is that Hillary Clinton personally approved leaking to the media 1052 00:57:22,160 --> 00:57:25,520 Speaker 1: information alleging a connection between Donald Trump and a Russian 1053 00:57:25,560 --> 00:57:29,760 Speaker 1: bank in twenty and sixteen, which the campaign itself had 1054 00:57:29,880 --> 00:57:34,680 Speaker 1: not fully confirmed. This is the infamous Alpha Bank report 1055 00:57:34,840 --> 00:57:37,600 Speaker 1: that took the world by storm in the closing days 1056 00:57:37,640 --> 00:57:40,280 Speaker 1: of the twenty sixteen election, in which there was an 1057 00:57:40,280 --> 00:57:44,600 Speaker 1: allegation that there was a data between some servers linking 1058 00:57:44,640 --> 00:57:48,160 Speaker 1: the Trump organization and Alpha Bank, that is, a Russian 1059 00:57:48,200 --> 00:57:51,360 Speaker 1: financial institution with ties to the Kremlin. That was originally 1060 00:57:51,360 --> 00:57:55,520 Speaker 1: reported by Franklin for Over at The Atlantic and Enslate, 1061 00:57:55,680 --> 00:57:57,760 Speaker 1: where he wrote this up and was used as a 1062 00:57:57,760 --> 00:58:01,480 Speaker 1: so called corroborating evidence. This is the infamous tweet that 1063 00:58:01,560 --> 00:58:03,520 Speaker 1: Hillary sent on that day. Let's put this up there 1064 00:58:03,560 --> 00:58:07,480 Speaker 1: on the screen. October thirty one, twenty sixteen, computer scientists 1065 00:58:07,520 --> 00:58:11,200 Speaker 1: have apparently uncovered a covert server linking the Trump organization 1066 00:58:11,520 --> 00:58:15,280 Speaker 1: to a Russian based bank. This was regarding the Franklin 1067 00:58:15,280 --> 00:58:17,680 Speaker 1: four report, who also worked at the Atlantic, when he 1068 00:58:17,680 --> 00:58:20,200 Speaker 1: wrote it up in Slate showing that the Trump organization 1069 00:58:20,320 --> 00:58:23,080 Speaker 1: has a quote secret server registered to Trump Tower that 1070 00:58:23,160 --> 00:58:26,920 Speaker 1: has been covertly communicating with Russia. Noteworthy, it was signed 1071 00:58:27,000 --> 00:58:29,960 Speaker 1: at that time by Hillary for America senior policy advisor 1072 00:58:30,200 --> 00:58:33,440 Speaker 1: Jake Sullivan, who is the current National Security Advisor to 1073 00:58:33,480 --> 00:58:37,960 Speaker 1: the United States for President Biden. So obviously he remains 1074 00:58:38,000 --> 00:58:41,680 Speaker 1: well ensconced in democratic politics. And I think that all 1075 00:58:41,720 --> 00:58:44,520 Speaker 1: of this matters because, first of all, I mean, I 1076 00:58:44,600 --> 00:58:46,560 Speaker 1: know it was six years ago, but I do think 1077 00:58:46,600 --> 00:58:49,960 Speaker 1: it is empirically nuts that Hillary at this point, we 1078 00:58:50,080 --> 00:58:53,560 Speaker 1: know that she lied for years about whether they funded 1079 00:58:53,560 --> 00:58:56,480 Speaker 1: the Dassi, the Steele dossier, and they did. We know 1080 00:58:56,640 --> 00:58:59,560 Speaker 1: that her lawyers, you know, and the Perkins Koey law 1081 00:58:59,600 --> 00:59:02,720 Speaker 1: firms were intimately involved in pushing a lot of this, 1082 00:59:03,120 --> 00:59:05,600 Speaker 1: that it basically was a democratic and by that, I 1083 00:59:05,600 --> 00:59:08,640 Speaker 1: mean like it was a Hillary Clinton operation that was 1084 00:59:08,680 --> 00:59:11,480 Speaker 1: in conjunction with the FBI, that they explicitly went and 1085 00:59:11,520 --> 00:59:15,280 Speaker 1: briefed them on all of these fake accusations, and really 1086 00:59:15,360 --> 00:59:18,160 Speaker 1: I mean Alpha Bank and others. While it did show 1087 00:59:18,280 --> 00:59:22,160 Speaker 1: the most insanity of Russia Gate. This was a national 1088 00:59:22,200 --> 00:59:26,600 Speaker 1: conversation for two straight years about Trump and Russia, which 1089 00:59:26,840 --> 00:59:30,160 Speaker 1: at the time did I think tremendous damage to this country. 1090 00:59:30,240 --> 00:59:33,440 Speaker 1: I mean, beyond the Democratic base gas lighting them into 1091 00:59:33,520 --> 00:59:36,640 Speaker 1: thinking that the election was stolen by Russians, which a 1092 00:59:36,680 --> 00:59:39,960 Speaker 1: majority of them did. Actually at the time, you also 1093 00:59:40,200 --> 00:59:43,480 Speaker 1: had a complete media obsession when there could have been 1094 00:59:43,480 --> 00:59:47,680 Speaker 1: an obsession around I don't know literally anything else which 1095 00:59:47,720 --> 00:59:51,040 Speaker 1: was actually true. So, you know, it's been six years. 1096 00:59:51,280 --> 00:59:53,680 Speaker 1: I guess everybody also knew that this was the case, 1097 00:59:53,720 --> 00:59:56,120 Speaker 1: but it just shows you the Hillary's fingerprints were on 1098 00:59:56,160 --> 00:59:58,520 Speaker 1: this at the very, very highest level. There's a lot 1099 00:59:58,600 --> 01:00:00,720 Speaker 1: that's relevant here. I mean, first of all, the fact 1100 01:00:00,720 --> 01:00:03,280 Speaker 1: that so much there was an intentional effort by the 1101 01:00:03,280 --> 01:00:05,320 Speaker 1: Clinton campaign to basically say, like, how do we spin 1102 01:00:05,400 --> 01:00:08,160 Speaker 1: this loss so it doesn't fall on us, because obviously 1103 01:00:08,240 --> 01:00:10,840 Speaker 1: you lose to Donald Trump. Like the obvious person to 1104 01:00:10,840 --> 01:00:14,120 Speaker 1: blame is you, right, you didn't campaign in the Midwest, 1105 01:00:14,120 --> 01:00:17,680 Speaker 1: You were a terrible candidate. You leaned into this campaign 1106 01:00:17,720 --> 01:00:21,280 Speaker 1: strategy of just sort of like going wherever Trump went, 1107 01:00:21,400 --> 01:00:24,280 Speaker 1: responding to his tweets and responding to his actions, rather 1108 01:00:24,280 --> 01:00:26,640 Speaker 1: than trying to lay out your own campaign like you 1109 01:00:26,840 --> 01:00:29,520 Speaker 1: are to blame for this loss. And so to the 1110 01:00:29,560 --> 01:00:31,920 Speaker 1: extent that you know, Donald Trump was seen as this 1111 01:00:32,000 --> 01:00:35,640 Speaker 1: existential threat by the Democratic base, the very obvious person 1112 01:00:35,960 --> 01:00:39,080 Speaker 1: to blame would be Hillary Clinton's. Instead, they've engaged in 1113 01:00:39,120 --> 01:00:41,720 Speaker 1: this very intentional campaign of subterfuge to push the blame 1114 01:00:41,760 --> 01:00:44,880 Speaker 1: off to all sorts of people, one of them, you know, 1115 01:00:44,960 --> 01:00:48,120 Speaker 1: one of those claims being like, oh, it's Russia's fault basically. 1116 01:00:48,480 --> 01:00:50,920 Speaker 1: So this is also part of that effort for the 1117 01:00:50,920 --> 01:00:54,760 Speaker 1: Clintons and that whole world, which is the entirety of 1118 01:00:54,840 --> 01:00:58,880 Speaker 1: establishment democratic politics, to escape any kind of scrutiny for 1119 01:00:58,920 --> 01:01:01,360 Speaker 1: how you could possibly lose to this man and put 1120 01:01:01,360 --> 01:01:04,560 Speaker 1: the country in this situation. So that's number one, number 1121 01:01:04,600 --> 01:01:06,600 Speaker 1: two in terms of the actual details here. And this 1122 01:01:07,000 --> 01:01:09,640 Speaker 1: this was Robbie Mook that testified. So this was the 1123 01:01:09,720 --> 01:01:12,080 Speaker 1: you know, under oath on the stand right, So I mean, 1124 01:01:12,160 --> 01:01:14,880 Speaker 1: this isn't like some nobody. This was the chair of 1125 01:01:14,880 --> 01:01:18,480 Speaker 1: the the head of the campaign. He said. Effectively, Hillary 1126 01:01:18,520 --> 01:01:21,160 Speaker 1: signed off on this idea that even though they couldn't 1127 01:01:21,160 --> 01:01:24,440 Speaker 1: as a campaign confirm these claims with this connection, was 1128 01:01:24,480 --> 01:01:27,920 Speaker 1: real that they would leak it to press outlets, and 1129 01:01:27,960 --> 01:01:31,080 Speaker 1: at that very same time, Slate runs with it and 1130 01:01:31,160 --> 01:01:33,360 Speaker 1: gives them the piece that they want, and that's the 1131 01:01:33,400 --> 01:01:36,000 Speaker 1: one that they go with. New York Times also runs 1132 01:01:36,040 --> 01:01:38,920 Speaker 1: an article, but it is much more cautious and it 1133 01:01:38,960 --> 01:01:42,439 Speaker 1: includes the key piece of information that the FBI had 1134 01:01:42,480 --> 01:01:46,560 Speaker 1: already basically investigated and debunked these claims. So if it 1135 01:01:46,600 --> 01:01:48,720 Speaker 1: had just been the New York Times piece, they wouldn't 1136 01:01:48,720 --> 01:01:51,000 Speaker 1: have had much to work with. But because Slate went 1137 01:01:51,040 --> 01:01:53,960 Speaker 1: with a much more sensationalistic and much more sort of 1138 01:01:54,040 --> 01:01:57,760 Speaker 1: leading piece here, that left the question open. That was 1139 01:01:57,800 --> 01:02:00,240 Speaker 1: what enabled them to kind of lean into this. So 1140 01:02:00,520 --> 01:02:02,800 Speaker 1: that's extremely significant to your point about the damage that 1141 01:02:02,880 --> 01:02:04,320 Speaker 1: was done and why we're still talking about this so 1142 01:02:04,360 --> 01:02:08,240 Speaker 1: many years later. It really did change the way that 1143 01:02:08,320 --> 01:02:11,720 Speaker 1: the Democratic base viewed Russia, and it changed the way 1144 01:02:11,720 --> 01:02:15,640 Speaker 1: the Republican base viewed Russia. So now you have a 1145 01:02:15,680 --> 01:02:20,680 Speaker 1: situation where you know, views have in certain instances flipped. 1146 01:02:20,960 --> 01:02:23,160 Speaker 1: You have much more room on the Republican side of 1147 01:02:23,200 --> 01:02:26,560 Speaker 1: the aisle, for example, to be to be questioning of 1148 01:02:26,640 --> 01:02:29,640 Speaker 1: the amount of military aid that is flowing to Ukraine. 1149 01:02:29,680 --> 01:02:31,760 Speaker 1: And of course I've talked about how disingenuous. Some of 1150 01:02:31,840 --> 01:02:34,600 Speaker 1: these actors ultimately are, but the fact remains that the 1151 01:02:34,640 --> 01:02:38,360 Speaker 1: only no votes against this gigantic tens of billions of 1152 01:02:38,440 --> 01:02:41,360 Speaker 1: dollars in new aid, most of it, you know, military 1153 01:02:41,400 --> 01:02:44,440 Speaker 1: aid going to Ukraine, came to the Republican side of 1154 01:02:44,440 --> 01:02:48,520 Speaker 1: the aisle. This whole episode made the Democratic base much 1155 01:02:48,560 --> 01:02:52,640 Speaker 1: more hawkish towards Russia. And you know, the very latest is, 1156 01:02:52,720 --> 01:02:54,360 Speaker 1: let's go and put this last tear sheet up on 1157 01:02:54,400 --> 01:02:57,560 Speaker 1: the screen. The very latest is the Pentagon is apparently 1158 01:02:57,600 --> 01:03:01,320 Speaker 1: weighing deploying special forces to guard the Key embassy. So basically, 1159 01:03:01,480 --> 01:03:03,800 Speaker 1: you know, a small number of boots on the ground 1160 01:03:03,880 --> 01:03:05,960 Speaker 1: in Ukraine, something that was supposed to be totally out 1161 01:03:06,000 --> 01:03:08,520 Speaker 1: the table. And the reason why we've been able to 1162 01:03:08,720 --> 01:03:12,960 Speaker 1: so easily slide down the slippery slope closer and closer 1163 01:03:13,000 --> 01:03:17,000 Speaker 1: to direct confrontation with a nuclear armed superpower in Russia 1164 01:03:17,480 --> 01:03:19,680 Speaker 1: is because you have a democratic base that has been 1165 01:03:19,720 --> 01:03:24,240 Speaker 1: primed to see Russia as this like all powerful, all knowing, 1166 01:03:24,880 --> 01:03:29,560 Speaker 1: existential world dominating election interfering threat, and that has made 1167 01:03:29,600 --> 01:03:33,120 Speaker 1: it a lot more difficult to have clear thinking and 1168 01:03:33,240 --> 01:03:36,600 Speaker 1: any sort of like public debate and scrutiny over the 1169 01:03:36,680 --> 01:03:40,400 Speaker 1: administration's truly extraordinary actions with regard to Russia right now. Yeah, 1170 01:03:40,400 --> 01:03:43,000 Speaker 1: it's a huge thing. I mean, the impact this has 1171 01:03:43,040 --> 01:03:44,720 Speaker 1: had on our I did a right, I think I did. 1172 01:03:44,760 --> 01:03:46,840 Speaker 1: One of my last monologues are on Rising, was actually 1173 01:03:46,840 --> 01:03:48,720 Speaker 1: about this. It was like the real cost of Russia Gate, 1174 01:03:48,720 --> 01:03:50,400 Speaker 1: and it was about how yeah I think it was 1175 01:03:50,400 --> 01:03:53,120 Speaker 1: at the time, it was the Atlantic Council and there 1176 01:03:53,360 --> 01:03:58,000 Speaker 1: was this like democratic aligned people who were, you know, 1177 01:03:58,040 --> 01:04:01,520 Speaker 1: promoting a realist foreign policy view which I mostly subscribe to. 1178 01:04:01,560 --> 01:04:04,360 Speaker 1: We're basically railroad and forced out of the Institute, and 1179 01:04:04,400 --> 01:04:06,680 Speaker 1: there was like an uproar over there just because I 1180 01:04:07,240 --> 01:04:09,480 Speaker 1: don't even remember exactly what they said, but they were like, hey, 1181 01:04:09,480 --> 01:04:12,520 Speaker 1: maybe expanding NATO might have increased tension with It was 1182 01:04:12,560 --> 01:04:15,960 Speaker 1: like something completely anateym and then boom, it was just 1183 01:04:16,360 --> 01:04:20,080 Speaker 1: completely against them. So that was at an institutional level, 1184 01:04:20,200 --> 01:04:23,120 Speaker 1: at a democratic based level, and at a policy level. 1185 01:04:23,200 --> 01:04:26,480 Speaker 1: It changed our posture to Russia forever, I think towards 1186 01:04:26,600 --> 01:04:28,600 Speaker 1: that nation. And all you have to do is compare 1187 01:04:28,800 --> 01:04:32,960 Speaker 1: how Barack Obama compare reacted to the Russian annexation of 1188 01:04:33,040 --> 01:04:36,760 Speaker 1: Crimea to how the Biden administration has approached it. Now. 1189 01:04:36,840 --> 01:04:39,120 Speaker 1: And you can go back and read quotes of Obama 1190 01:04:39,240 --> 01:04:41,800 Speaker 1: saying things which would you know, call him a trader 1191 01:04:41,840 --> 01:04:44,560 Speaker 1: now where he says things like crimea is a core 1192 01:04:44,640 --> 01:04:47,320 Speaker 1: Russian national security interest. If you think we should go 1193 01:04:47,320 --> 01:04:49,480 Speaker 1: to war for that, you suld justify it, because I 1194 01:04:49,520 --> 01:04:52,320 Speaker 1: don't think that that's one as core to Ukraine. It's like, wow, 1195 01:04:52,440 --> 01:04:55,400 Speaker 1: you know, that's something I haven't heard anybody in national 1196 01:04:55,480 --> 01:04:57,960 Speaker 1: politics espouse that type of sentiment. What was this line 1197 01:04:57,960 --> 01:05:01,720 Speaker 1: to Romney like the eightieth call them? Yeah, he was right, 1198 01:05:01,800 --> 01:05:04,240 Speaker 1: you know about in terms of moving towards the Asia 1199 01:05:04,280 --> 01:05:06,800 Speaker 1: Pacific and how that was the future. But all of 1200 01:05:06,840 --> 01:05:11,080 Speaker 1: that worldview has been completely cast out the window, all 1201 01:05:11,280 --> 01:05:14,479 Speaker 1: because of Russia. And you can go and look back at, 1202 01:05:14,800 --> 01:05:17,680 Speaker 1: you know, Obama Gate, which I'm reliving now in my head, 1203 01:05:18,200 --> 01:05:23,040 Speaker 1: and it all is a direct result of the fact 1204 01:05:23,080 --> 01:05:25,720 Speaker 1: that the Clinton campaign and actually did also push the 1205 01:05:25,760 --> 01:05:28,120 Speaker 1: FBI and even the high levels of the Obama administration 1206 01:05:28,440 --> 01:05:31,440 Speaker 1: to all try and conjure up this narrative which simply 1207 01:05:31,480 --> 01:05:34,800 Speaker 1: did not exist and not only hampered the incoming administration 1208 01:05:35,080 --> 01:05:38,200 Speaker 1: but changed our politics probably forever. And that was not 1209 01:05:38,440 --> 01:05:39,439 Speaker 1: done in a good way.