1 00:00:00,280 --> 00:00:03,440 Speaker 1: Cable news is ripping us apart, dividing the nation, making 2 00:00:03,440 --> 00:00:05,880 Speaker 1: it impossible to function as a society and to know 3 00:00:05,920 --> 00:00:08,680 Speaker 1: what is true and what is false. The good news 4 00:00:08,760 --> 00:00:10,800 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 --> 00:00:17,920 Speaker 1: and more trustworthy mainstream by becoming a Breaking Points Premium 7 00:00:17,920 --> 00:00:21,520 Speaker 1: member today at breakingpoints dot com. Your hard earned money 8 00:00:21,560 --> 00:00:23,360 Speaker 1: is going to help us build for the midterms and 9 00:00:23,400 --> 00:00:27,360 Speaker 1: the upcoming presidential election so we can provide unparalleled coverage 10 00:00:27,360 --> 00:00:28,560 Speaker 1: of what is sure to be one of the most 11 00:00:28,600 --> 00:00:32,280 Speaker 1: pivotal moments in American history. So what are you waiting for? 12 00:00:32,479 --> 00:00:37,280 Speaker 1: Go to Breakingpoints dot com to help us out. Good morning, everybody, 13 00:00:37,280 --> 00:00:39,600 Speaker 1: Happy Monday. We have an amazing show for everybody today. 14 00:00:39,600 --> 00:00:41,240 Speaker 1: What are we have personal? Indeed, we do lots of 15 00:00:41,240 --> 00:00:43,360 Speaker 1: big stories breaking for you this morning. First of all, 16 00:00:43,400 --> 00:00:47,559 Speaker 1: Finland and Sweden inching even closer to joining NATO. We 17 00:00:47,600 --> 00:00:49,919 Speaker 1: will tell you what obstacles remain, what the potential fall 18 00:00:50,000 --> 00:00:52,760 Speaker 1: up will be, and our thoughts on all of that. Also, 19 00:00:52,800 --> 00:00:55,840 Speaker 1: Elon Musk sort of signaling maybe he's not one hundred 20 00:00:55,840 --> 00:00:58,760 Speaker 1: percent welling forward with it could be a Barbell and 21 00:00:58,920 --> 00:01:01,440 Speaker 1: could be a bart anyway, We'll tell you about what's 22 00:01:01,480 --> 00:01:05,520 Speaker 1: going on there. New polling reveals exactly how abortion may 23 00:01:05,560 --> 00:01:07,880 Speaker 1: impact the midterm election. So far, I would say that 24 00:01:08,240 --> 00:01:11,640 Speaker 1: our analysis has been vindicated that it may help Democrats 25 00:01:11,640 --> 00:01:13,720 Speaker 1: on the margins, but is probably not going to be 26 00:01:14,040 --> 00:01:16,280 Speaker 1: the game changer that they would need to avoid some 27 00:01:16,319 --> 00:01:19,119 Speaker 1: pretty devastating losses this fall. We also have a very 28 00:01:19,120 --> 00:01:22,959 Speaker 1: interesting memo coming out from Netflix, basically telling employees, if 29 00:01:23,000 --> 00:01:25,440 Speaker 1: you don't like all the content that we are publishing, 30 00:01:26,200 --> 00:01:29,360 Speaker 1: feel free to go get another job. We have an 31 00:01:29,400 --> 00:01:32,280 Speaker 1: analyst on first time on the show talking about the 32 00:01:32,280 --> 00:01:35,400 Speaker 1: primaries that are unfolding tomorrow, some big ones in particular 33 00:01:35,440 --> 00:01:37,720 Speaker 1: in the state of Pennsylvania, but also in North Carolina. 34 00:01:37,800 --> 00:01:39,760 Speaker 1: So we will get to all of that, but we 35 00:01:39,840 --> 00:01:43,560 Speaker 1: wanted to start with what is just a horrific tragedy 36 00:01:43,560 --> 00:01:48,080 Speaker 1: and act of pure evil coming out of Buffalo shooting 37 00:01:48,200 --> 00:01:52,040 Speaker 1: over this weekend by a racist, white supremacist. Let's go 38 00:01:52,040 --> 00:01:54,000 Speaker 1: ahead and put this tear sheet up on the screen. 39 00:01:54,320 --> 00:01:57,120 Speaker 1: Buffalo's supermarket shooting. What do we know so far? So 40 00:01:57,160 --> 00:02:00,440 Speaker 1: they say on Saturday afternoon, a white eighteen year old 41 00:02:00,480 --> 00:02:03,640 Speaker 1: wearing military gear and live streaming with a helmet camera. 42 00:02:03,720 --> 00:02:07,040 Speaker 1: Opened fire Saturday afternoon at Top's Friendly Market. It's one 43 00:02:07,040 --> 00:02:10,360 Speaker 1: of the only supermarkets in this neighborhood. It's a supermarket 44 00:02:10,400 --> 00:02:14,240 Speaker 1: in a predominantly black neighborhood of Buffalo, New York. Ultimately 45 00:02:14,720 --> 00:02:18,440 Speaker 1: ten people were murdered by this man. Three more were wounded. 46 00:02:18,480 --> 00:02:21,400 Speaker 1: Eleven of those individuals were black, two were white. The 47 00:02:21,400 --> 00:02:23,760 Speaker 1: gunman live stream the shooting to a small audience on 48 00:02:23,800 --> 00:02:26,760 Speaker 1: Twitch for several minutes before the platform cut off his feed. 49 00:02:27,160 --> 00:02:30,280 Speaker 1: According to police, the gunman began shooting in the parking lot, 50 00:02:30,320 --> 00:02:34,400 Speaker 1: then moved inside the store. A heroic security guard, Aaron Salter, 51 00:02:34,560 --> 00:02:38,840 Speaker 1: fired multiple shots trying to protect the innocent shoppers who 52 00:02:38,840 --> 00:02:42,480 Speaker 1: were there, none of them unfortunately penetrated the gunman's armor. 53 00:02:42,800 --> 00:02:46,480 Speaker 1: He also ultimately killed Salter, and then stalked through the 54 00:02:46,520 --> 00:02:53,720 Speaker 1: aisles shooting shoppers. He apparently published a manifesto online that 55 00:02:54,160 --> 00:02:58,600 Speaker 1: has purportedly attributed to him, where he takes credit for 56 00:02:58,680 --> 00:03:02,359 Speaker 1: this mass violence. It is. I actually read a good 57 00:03:02,360 --> 00:03:05,000 Speaker 1: bit of it, at least the ideological parts of it, 58 00:03:05,160 --> 00:03:07,760 Speaker 1: and first of all, it's kind of exactly what you 59 00:03:07,800 --> 00:03:12,120 Speaker 1: would expect. A bunch of completely racist claptrap talking about 60 00:03:12,160 --> 00:03:15,720 Speaker 1: the so called great replacement theory that whites are being 61 00:03:15,760 --> 00:03:19,440 Speaker 1: genocided by people who were quote unquote replacers coming in 62 00:03:19,440 --> 00:03:22,040 Speaker 1: from the outside. He lumpsened black people as one of 63 00:03:22,040 --> 00:03:26,120 Speaker 1: these replacers. Lots of pseudo, you know, fake race science 64 00:03:26,120 --> 00:03:29,200 Speaker 1: about how black people are inferior and they're not intelligent 65 00:03:29,280 --> 00:03:33,440 Speaker 1: and they're criminals. Bunch of racist, anti Semitic conspiracy theories, 66 00:03:33,760 --> 00:03:36,360 Speaker 1: and ultimately it turns out a lot of this was 67 00:03:36,400 --> 00:03:41,160 Speaker 1: actually Playgary Sager from the christ Church, New Zealand shooter 68 00:03:41,320 --> 00:03:44,839 Speaker 1: that you know, massacred Muslims in twenty nineteen. So dude 69 00:03:44,880 --> 00:03:50,000 Speaker 1: couldn't even write his own racist manifesto. Horrific you know, 70 00:03:50,080 --> 00:03:52,840 Speaker 1: accounts from eyewitnesses there on the scene. Let's take a 71 00:03:52,840 --> 00:03:54,720 Speaker 1: list and do a little bit of that. Could hear 72 00:03:54,760 --> 00:03:57,680 Speaker 1: where the gunshots were, how close they were coming, and 73 00:03:57,720 --> 00:04:00,360 Speaker 1: it wasn't all the way to me yet. I don't 74 00:04:00,360 --> 00:04:02,480 Speaker 1: know what made me get up. I just kept saying, 75 00:04:02,520 --> 00:04:04,920 Speaker 1: you gotta get up, you gotta get up. I literally 76 00:04:05,000 --> 00:04:08,520 Speaker 1: jumped up. Everything fell off. I had keys on my elbow, 77 00:04:08,600 --> 00:04:11,840 Speaker 1: they literally came off. My wrist hit the threezers. My 78 00:04:11,920 --> 00:04:16,680 Speaker 1: shoes were off, and I just kept running. At this point, 79 00:04:17,040 --> 00:04:19,960 Speaker 1: where is your daughter? She's in the front, still in 80 00:04:19,960 --> 00:04:22,960 Speaker 1: the front, still in the front, crouched at registered six 81 00:04:23,080 --> 00:04:26,279 Speaker 1: cause I never looked behind me until I got all 82 00:04:26,320 --> 00:04:29,360 Speaker 1: the way to the back. I turned around, she wasn't there, 83 00:04:29,960 --> 00:04:32,600 Speaker 1: and I said, where's my baby? Has any seen my baby? 84 00:04:32,600 --> 00:04:40,880 Speaker 1: Where is she? I didn't know where she was, And 85 00:04:40,920 --> 00:04:43,400 Speaker 1: then I just thought, if she's gone, I got to 86 00:04:43,480 --> 00:04:46,760 Speaker 1: get out of here. She's got babies, she's a newborn, 87 00:04:48,720 --> 00:04:50,679 Speaker 1: and she has a three year old, so I still 88 00:04:50,720 --> 00:04:52,680 Speaker 1: had to get out. If I went back for her 89 00:04:53,560 --> 00:04:56,520 Speaker 1: and she was gone, I would be gone too. And 90 00:04:56,640 --> 00:05:05,200 Speaker 1: then they had nobody was still ryan and ran out 91 00:05:05,240 --> 00:05:07,760 Speaker 1: the bag. I mean, there are a few things more 92 00:05:07,760 --> 00:05:11,919 Speaker 1: heinous than people, innocent, powerless people being targeted just for 93 00:05:12,040 --> 00:05:15,560 Speaker 1: who they are. And I cannot begin to imagine the 94 00:05:15,600 --> 00:05:17,920 Speaker 1: horror that was experienced by the people who were there 95 00:05:17,920 --> 00:05:21,080 Speaker 1: in that supermarket. I know are now grieving the loss 96 00:05:21,120 --> 00:05:24,560 Speaker 1: of loved ones and community members, fathers, daughters, sons. It 97 00:05:24,680 --> 00:05:26,760 Speaker 1: is truly horrible. Yeah, no, I mean, there's no other 98 00:05:26,800 --> 00:05:28,760 Speaker 1: way to describe it as act pure evil. I think 99 00:05:28,800 --> 00:05:30,480 Speaker 1: you put it really well. And so now the quite 100 00:05:30,480 --> 00:05:32,520 Speaker 1: real question is is like, who is this gentleman? I'm 101 00:05:32,520 --> 00:05:34,760 Speaker 1: not going to say his name. Also, unfortunately had to 102 00:05:34,800 --> 00:05:37,400 Speaker 1: read the idiotic manifesto, which you know, I read the 103 00:05:37,440 --> 00:05:39,600 Speaker 1: christ Church person. Turns out it was the same one 104 00:05:39,960 --> 00:05:42,840 Speaker 1: in many of these respects. Look, if you spent any 105 00:05:42,839 --> 00:05:44,760 Speaker 1: time on the dregs of the Internet, none of this 106 00:05:44,880 --> 00:05:46,800 Speaker 1: is all that surprising to you. And this is just 107 00:05:46,839 --> 00:05:51,440 Speaker 1: one of your classic like absolute losers within society trying 108 00:05:51,440 --> 00:05:55,520 Speaker 1: to blame everybody else for their problems. And the question arises, though, 109 00:05:55,600 --> 00:05:58,400 Speaker 1: and I think at a very serious level, is we 110 00:05:58,480 --> 00:06:01,280 Speaker 1: have heard a lot about mastic terrorism here in the 111 00:06:01,400 --> 00:06:05,120 Speaker 1: United States has been supposedly in a major priority of 112 00:06:05,120 --> 00:06:07,600 Speaker 1: the Biden administration of law enforcement, you know, over the 113 00:06:07,680 --> 00:06:11,480 Speaker 1: last two years. Well why did we not catch this person? 114 00:06:11,600 --> 00:06:14,320 Speaker 1: And let's put this up there on the screen. Well, 115 00:06:14,440 --> 00:06:17,480 Speaker 1: you know, as it almost always comes out with these things, 116 00:06:17,760 --> 00:06:20,240 Speaker 1: it turns out that the alleged gunman had threatened a 117 00:06:20,279 --> 00:06:24,040 Speaker 1: shooting at his high school as shortly as last year, 118 00:06:24,360 --> 00:06:27,159 Speaker 1: and he was actually sent for a mental health evaluation 119 00:06:27,520 --> 00:06:29,960 Speaker 1: that lasted a day and a half. Now, I think 120 00:06:29,960 --> 00:06:32,040 Speaker 1: that we are going to learn quite a bit more 121 00:06:32,160 --> 00:06:34,479 Speaker 1: about all of this, Crystal, because what they said is 122 00:06:34,480 --> 00:06:37,160 Speaker 1: that he had not only threatened this mass shooting, but 123 00:06:37,200 --> 00:06:39,279 Speaker 1: that the police say the suspect had made threats to 124 00:06:39,320 --> 00:06:42,159 Speaker 1: carry out this shooting as early as June, so less 125 00:06:42,200 --> 00:06:44,600 Speaker 1: than one year ago, while he was in high school 126 00:06:44,800 --> 00:06:47,800 Speaker 1: near the time of his graduation. He was even taken 127 00:06:47,880 --> 00:06:51,640 Speaker 1: into custody by state police and obviously sent to the 128 00:06:51,640 --> 00:06:55,520 Speaker 1: hospital for evaluation. So then the question arises, how exactly 129 00:06:55,560 --> 00:06:58,320 Speaker 1: did this person legally acquire a firearm if that is 130 00:06:58,360 --> 00:07:00,839 Speaker 1: in fact the case, If it was acquired, there's not 131 00:07:00,880 --> 00:07:02,880 Speaker 1: a lot you can do about that. But it has 132 00:07:03,040 --> 00:07:06,200 Speaker 1: very commonly been the case that many of these people 133 00:07:06,279 --> 00:07:09,480 Speaker 1: with past mental health problems which should immediately be flagged, 134 00:07:09,720 --> 00:07:12,920 Speaker 1: you know, from the FBI, especially in the commission of 135 00:07:12,920 --> 00:07:15,520 Speaker 1: a crime, or this particular case, you know, being so 136 00:07:15,560 --> 00:07:19,000 Speaker 1: serious to be taken into custody. Well, what's happening here? 137 00:07:19,080 --> 00:07:21,640 Speaker 1: And sadly you and I went through the record, this 138 00:07:21,760 --> 00:07:24,720 Speaker 1: is an all too common occurrence with people who are 139 00:07:24,720 --> 00:07:28,640 Speaker 1: either mass shooters or domestic terrorists. So we put together 140 00:07:28,720 --> 00:07:30,960 Speaker 1: a mashup of just how many of these cases there 141 00:07:30,960 --> 00:07:32,960 Speaker 1: appear to be. Let's start. Let's go ahead and put 142 00:07:33,000 --> 00:07:35,200 Speaker 1: this up there on the screen. What do we see 143 00:07:35,240 --> 00:07:39,200 Speaker 1: Sun Sentinel how the FBI botched tips about the Parkland shooter. 144 00:07:39,360 --> 00:07:42,400 Speaker 1: A lot of people remember that one dominated our politics 145 00:07:42,440 --> 00:07:44,480 Speaker 1: very much in the same way that this one may 146 00:07:44,760 --> 00:07:47,280 Speaker 1: well one of the most undercovered aspects of that not 147 00:07:47,840 --> 00:07:51,080 Speaker 1: only the failure of Broward County Sheriff's Department, but the 148 00:07:51,160 --> 00:07:54,600 Speaker 1: FBI had a very clear tip about the shooter. In 149 00:07:54,600 --> 00:07:56,520 Speaker 1: that case, Let's go to the next one that we 150 00:07:56,560 --> 00:07:59,840 Speaker 1: have up there on the screen. FBI had closely scrutinized 151 00:07:59,840 --> 00:08:04,440 Speaker 1: the Orlando shooter before the dropping and before dropping that investigation, 152 00:08:04,760 --> 00:08:07,200 Speaker 1: Omar Matine, the guy who shot up the Pulse gay 153 00:08:07,280 --> 00:08:10,480 Speaker 1: nightclub in Orlando, Florida in twenty sixteen. Let's go to 154 00:08:10,560 --> 00:08:13,120 Speaker 1: the next one that we have here. The FBI had 155 00:08:13,160 --> 00:08:16,080 Speaker 1: a breakdown in its background check system which allowed Dylan 156 00:08:16,200 --> 00:08:18,280 Speaker 1: Ruth to buy a gun. He, of course, was the 157 00:08:18,280 --> 00:08:21,560 Speaker 1: white supremacist who went and shot up the Charleston church. 158 00:08:21,640 --> 00:08:23,880 Speaker 1: Let's go to the next one that we have up there, 159 00:08:24,000 --> 00:08:26,200 Speaker 1: which is that and actually didn't even remember, you're the 160 00:08:26,200 --> 00:08:28,560 Speaker 1: one who flagged this sung Hugh Cho who was the 161 00:08:28,680 --> 00:08:32,000 Speaker 1: Virginia Tech shooter. Based on mental health law, should never 162 00:08:32,080 --> 00:08:34,839 Speaker 1: have been able to acquire a firearm, and yet was 163 00:08:34,920 --> 00:08:38,319 Speaker 1: legally able to acquire multiple firearms, which he used at 164 00:08:38,320 --> 00:08:40,360 Speaker 1: that time to commit one of the most deadly mass 165 00:08:40,360 --> 00:08:42,880 Speaker 1: shootings in American history. Let's go to the next one, 166 00:08:43,280 --> 00:08:45,320 Speaker 1: which we have up there the text. I actually covered 167 00:08:45,320 --> 00:08:47,599 Speaker 1: this significantly at the time. I don't know if you 168 00:08:47,640 --> 00:08:50,240 Speaker 1: guys remember this, but an evangelical church in Texas was 169 00:08:50,559 --> 00:08:54,880 Speaker 1: absolutely massacred by an absolute nut job. Well, it turned 170 00:08:54,920 --> 00:08:57,040 Speaker 1: out that the Air Force he had actually been put 171 00:08:57,080 --> 00:09:00,320 Speaker 1: into prison for domestic violence, and that a break down 172 00:09:00,320 --> 00:09:03,520 Speaker 1: in reporting mechanisms for the FBI background check system having 173 00:09:03,559 --> 00:09:05,880 Speaker 1: been known to law enforcement. He also should have been 174 00:09:05,880 --> 00:09:08,520 Speaker 1: barred from illegally owning a gun. And finally, what we 175 00:09:08,559 --> 00:09:11,440 Speaker 1: have here is the FBI knew earlier of the Boston 176 00:09:11,640 --> 00:09:14,560 Speaker 1: bombing suspects. By the way, this is not an exhaustive list. 177 00:09:14,600 --> 00:09:16,640 Speaker 1: There are several others that we could have put there 178 00:09:16,679 --> 00:09:20,880 Speaker 1: on that one. I had forgotten the details. Russia actually 179 00:09:20,920 --> 00:09:22,560 Speaker 1: warned up well, yeah, yeah, they were like, these are 180 00:09:22,640 --> 00:09:26,280 Speaker 1: not guys, are problems because they had traveled to Chechnya. 181 00:09:26,520 --> 00:09:29,120 Speaker 1: They said they you know, they're sort of in league 182 00:09:29,120 --> 00:09:33,000 Speaker 1: with militants here. So Russia had actually warned us about 183 00:09:33,040 --> 00:09:35,800 Speaker 1: them anyway, I forgot the details of them. But yeah, 184 00:09:35,840 --> 00:09:38,680 Speaker 1: I mean, you look down this list, and the people 185 00:09:38,720 --> 00:09:41,800 Speaker 1: who are supposed to be keeping us safe when it 186 00:09:41,880 --> 00:09:45,360 Speaker 1: really counts, they seem to have dropped the ball over 187 00:09:45,440 --> 00:09:48,920 Speaker 1: and over again, even either directly at the law enforcement 188 00:09:49,160 --> 00:09:53,720 Speaker 1: level or at the level of the background system, you know, 189 00:09:53,880 --> 00:09:57,679 Speaker 1: checks that are supposed to be in place. They interviewed 190 00:09:57,960 --> 00:10:02,480 Speaker 1: the guy who you know, apparently sold this murderer his weapon, 191 00:10:03,080 --> 00:10:06,200 Speaker 1: and he at least claims he did the background check. 192 00:10:06,520 --> 00:10:08,960 Speaker 1: Nothing came up every time, So you know, I mean, 193 00:10:09,080 --> 00:10:11,280 Speaker 1: and I don't think this man, you know, he seemed 194 00:10:11,320 --> 00:10:14,880 Speaker 1: like he was telling the truth. And so yeah, he 195 00:10:14,960 --> 00:10:19,480 Speaker 1: had no reason not to sell this murder a weapon 196 00:10:19,679 --> 00:10:22,560 Speaker 1: that he ultimately used to massacre ten people an injer 197 00:10:22,640 --> 00:10:26,400 Speaker 1: three more. And this comes on the heels of you know, 198 00:10:26,520 --> 00:10:28,840 Speaker 1: just a year ago him threatening a mass shooting into 199 00:10:28,840 --> 00:10:31,240 Speaker 1: his high school like this is completely insane, I know, 200 00:10:31,480 --> 00:10:34,240 Speaker 1: And this is something again which and look, this is 201 00:10:34,280 --> 00:10:36,120 Speaker 1: where I have to go after some of the Republicans, 202 00:10:36,120 --> 00:10:38,480 Speaker 1: you know, to his own credit, John Cornyan, after the 203 00:10:38,520 --> 00:10:41,680 Speaker 1: Evangelical shirt shooting, tried to pass the Fixed Nicks Act, 204 00:10:41,720 --> 00:10:44,360 Speaker 1: which is the background check system which would have allowed. 205 00:10:44,640 --> 00:10:47,080 Speaker 1: Well it actually, I mean, it's not funny, but it 206 00:10:47,120 --> 00:10:49,600 Speaker 1: turned out that the US military had not been reporting 207 00:10:49,679 --> 00:10:52,000 Speaker 1: any of the domestic violence crimes that they were throwing 208 00:10:52,000 --> 00:10:55,200 Speaker 1: people into jail for, meaning that literally, you know, millions 209 00:10:55,240 --> 00:10:58,160 Speaker 1: of people could be acquiring firearms despite the fact that 210 00:10:58,160 --> 00:11:01,080 Speaker 1: they're not supposed to. So if it was adjudicated exactly, 211 00:11:01,360 --> 00:11:03,920 Speaker 1: just even though the FBI system says that if you're 212 00:11:03,960 --> 00:11:08,160 Speaker 1: prosecuted for crime that qualifies under being barred from acquiring 213 00:11:08,200 --> 00:11:10,679 Speaker 1: a firearm, they had not just been reporting it basically 214 00:11:10,920 --> 00:11:13,400 Speaker 1: to the national I forget what it stands for, but 215 00:11:13,480 --> 00:11:15,880 Speaker 1: the background check system. But there was all kinds of 216 00:11:15,960 --> 00:11:18,680 Speaker 1: breakdowns in the background check system. This is something corn 217 00:11:18,720 --> 00:11:21,520 Speaker 1: And pushed the pushed at the time to fix Nicks Act. 218 00:11:21,520 --> 00:11:23,679 Speaker 1: I don't believe that it ever passed. Look, I mean 219 00:11:23,920 --> 00:11:26,559 Speaker 1: the ats very basic level. You know, I'm one proponent 220 00:11:26,600 --> 00:11:29,160 Speaker 1: of firearms. What I look at it is that most 221 00:11:29,200 --> 00:11:31,400 Speaker 1: of the people who are in the gun community are 222 00:11:31,480 --> 00:11:34,520 Speaker 1: going to say that very clearly. Here you know, everybody 223 00:11:34,559 --> 00:11:36,880 Speaker 1: starts calling for gun control. You can have your thoughts 224 00:11:36,880 --> 00:11:39,000 Speaker 1: on that if you would like. At a basic level, 225 00:11:39,040 --> 00:11:40,720 Speaker 1: I think we should be able to agree that the 226 00:11:40,760 --> 00:11:43,040 Speaker 1: existing laws on the books for the background check system 227 00:11:43,080 --> 00:11:45,760 Speaker 1: should be in force. And to me, it seems like 228 00:11:45,800 --> 00:11:49,280 Speaker 1: once again a major breakdown in the investigative chain. And 229 00:11:49,280 --> 00:11:51,080 Speaker 1: it's like you just said, so what exactly do these 230 00:11:51,120 --> 00:11:53,079 Speaker 1: people do all day? I mean, I'm not going to 231 00:11:53,160 --> 00:11:55,280 Speaker 1: say that you're going to have to have a perfect system, 232 00:11:55,320 --> 00:11:57,720 Speaker 1: because we have to balance civil liberties and all that. 233 00:11:58,080 --> 00:12:01,079 Speaker 1: But this was not even the case where you had 234 00:12:01,120 --> 00:12:05,439 Speaker 1: some you know, quasi entrapment scheme and then it all 235 00:12:05,480 --> 00:12:07,840 Speaker 1: fell apart, or he was a known informant. It's like 236 00:12:08,000 --> 00:12:11,240 Speaker 1: he threatened to school shooting. God's taken into state police custody, 237 00:12:11,480 --> 00:12:14,160 Speaker 1: had a mental health evaluation. Who's the person who cleared 238 00:12:14,160 --> 00:12:16,440 Speaker 1: this person for a mental health evaluation? Why was there 239 00:12:16,440 --> 00:12:18,760 Speaker 1: no follow up whenever it came to this he recently 240 00:12:18,840 --> 00:12:21,040 Speaker 1: became an adult. Was there any sort of flag system 241 00:12:21,080 --> 00:12:24,360 Speaker 1: here happening? How exactly does this person legally acquire these 242 00:12:24,360 --> 00:12:26,679 Speaker 1: firearms which appears to be and the guy who ran it, 243 00:12:26,679 --> 00:12:28,360 Speaker 1: you know, we have no reason to disbelieve him that 244 00:12:28,400 --> 00:12:30,559 Speaker 1: he ran the background I mean he would be at 245 00:12:30,640 --> 00:12:33,200 Speaker 1: any gun store. Person will tell you, like if you 246 00:12:33,280 --> 00:12:35,640 Speaker 1: sell somebody a gun and you did not and they 247 00:12:35,760 --> 00:12:37,920 Speaker 1: use it to murder somebody. You didn't go through the 248 00:12:38,040 --> 00:12:41,120 Speaker 1: checks like you yourself are going to have some serious problems. 249 00:12:41,120 --> 00:12:43,240 Speaker 1: So we don't have any reason to deny that. I 250 00:12:43,240 --> 00:12:45,360 Speaker 1: think it just goes show once again that there are 251 00:12:45,440 --> 00:12:47,920 Speaker 1: massive holes in the existing system that there already are, 252 00:12:47,960 --> 00:12:49,400 Speaker 1: and I don't think there's a lot of discussion about 253 00:12:49,400 --> 00:12:52,560 Speaker 1: that untunely. And instead, you know, they've spent a lot 254 00:12:52,559 --> 00:12:55,520 Speaker 1: of time in things like during the whole War on 255 00:12:55,640 --> 00:13:00,280 Speaker 1: Terror era sort of concocting and inventing plots to and 256 00:13:00,320 --> 00:13:03,240 Speaker 1: trap Muslim men. We have of course covered here and 257 00:13:03,280 --> 00:13:05,040 Speaker 1: we can put this up on the screen, the Gretchen 258 00:13:05,120 --> 00:13:10,520 Speaker 1: Whitmer kidnapping plot that lots of FBI resources were expended 259 00:13:10,559 --> 00:13:14,560 Speaker 1: to effectively like create this plot and then ultimately disrupt it. 260 00:13:14,920 --> 00:13:18,720 Speaker 1: And this is there's a reason why these types of 261 00:13:19,679 --> 00:13:23,720 Speaker 1: concocted plots are ultimately what they spend resources on, because 262 00:13:23,760 --> 00:13:28,000 Speaker 1: there's a lot of political benefit to having the big 263 00:13:28,040 --> 00:13:32,880 Speaker 1: press conference and you know, disrupting this scary plot, whereas 264 00:13:32,920 --> 00:13:35,640 Speaker 1: the blocking and tackling of following up on these tips 265 00:13:35,679 --> 00:13:38,600 Speaker 1: and making sure the background check system is working properly 266 00:13:39,080 --> 00:13:40,839 Speaker 1: is a lot less sexy, and there are a lot 267 00:13:40,880 --> 00:13:43,080 Speaker 1: fewer sort of political careers that are made out of 268 00:13:43,080 --> 00:13:46,160 Speaker 1: that type of law enforcement work. Ultimately, you know, I 269 00:13:46,200 --> 00:13:48,920 Speaker 1: do want to say, because there's a lot of conversation 270 00:13:49,200 --> 00:13:53,960 Speaker 1: about the manifesto and what the inspiration for this guy 271 00:13:54,320 --> 00:13:56,840 Speaker 1: was and how it fits into a broader sort of 272 00:13:56,880 --> 00:14:00,080 Speaker 1: right wing media and political ecosystem. And you know, so 273 00:14:00,520 --> 00:14:03,520 Speaker 1: we both did look through this manifesto because I think 274 00:14:03,559 --> 00:14:08,080 Speaker 1: it is important to understand what is the twisted, ugly, 275 00:14:08,200 --> 00:14:10,720 Speaker 1: hateful thinking of someone like this that leads them to 276 00:14:10,760 --> 00:14:13,080 Speaker 1: this place. There's no indication that he was mentally ill, 277 00:14:13,200 --> 00:14:16,120 Speaker 1: and there's every indication that he was just radicalized by 278 00:14:16,160 --> 00:14:19,960 Speaker 1: a hateful and vicious ideology. What he claims in this 279 00:14:20,080 --> 00:14:23,640 Speaker 1: purported manifesto is that during COVID he was bored, you 280 00:14:23,760 --> 00:14:25,800 Speaker 1: spent a lot of time on Reddit, spent a lot 281 00:14:25,840 --> 00:14:29,160 Speaker 1: of time on four Chan, ends up immersed in this 282 00:14:29,320 --> 00:14:34,840 Speaker 1: you know, complete garbage around, you know, this racial ideology, 283 00:14:35,080 --> 00:14:39,960 Speaker 1: white supremacist ideology, and becomes convinced that there's this you know, 284 00:14:40,720 --> 00:14:44,960 Speaker 1: cabal of global Jews who are trying to replace the 285 00:14:44,960 --> 00:14:47,680 Speaker 1: white race, and that it's a white genocide in all 286 00:14:47,720 --> 00:14:52,120 Speaker 1: of this so standard issue great replacement theory nonsense which 287 00:14:52,160 --> 00:14:55,360 Speaker 1: has been used incided not only by him, but Tree 288 00:14:55,400 --> 00:14:59,920 Speaker 1: of Life Synagogue in down and El Paso that shoot, 289 00:15:00,560 --> 00:15:03,680 Speaker 1: and as we mentioned before, the christ Church shooter. Now 290 00:15:03,720 --> 00:15:07,440 Speaker 1: there's been a lot of conversation about Republican politicians, and 291 00:15:07,520 --> 00:15:10,520 Speaker 1: Tucker Carlson in particular, who have given sort of a 292 00:15:10,600 --> 00:15:14,360 Speaker 1: wink and a nod to this type of rhetoric. Tucker 293 00:15:15,200 --> 00:15:19,440 Speaker 1: has talked specifically about the theory they usually offer is 294 00:15:19,480 --> 00:15:24,400 Speaker 1: that Democrats are trying to legalize and documented immigrants and 295 00:15:24,400 --> 00:15:27,320 Speaker 1: bringing more immigrants, bringing more refugees to try to gain 296 00:15:27,360 --> 00:15:31,480 Speaker 1: an electoral advantage and replace classic Americans, or they'll use 297 00:15:31,480 --> 00:15:34,720 Speaker 1: some sort of like whitewash language like that ultimately, And 298 00:15:35,240 --> 00:15:37,000 Speaker 1: what I just want to say is, I don't think 299 00:15:37,000 --> 00:15:40,880 Speaker 1: it's fair to draw a direct line between what one 300 00:15:40,960 --> 00:15:44,080 Speaker 1: killer does and political rhetoric used by anyone. I don't 301 00:15:44,080 --> 00:15:45,440 Speaker 1: think it'd be fair to do that to the left. 302 00:15:45,440 --> 00:15:47,320 Speaker 1: I don't think it's fair to do it here. I 303 00:15:47,360 --> 00:15:50,560 Speaker 1: do think it's totally fair to inquire, as we do 304 00:15:50,760 --> 00:15:54,440 Speaker 1: routinely on the show, what type of rhetoric is good 305 00:15:54,440 --> 00:15:57,800 Speaker 1: and healthy for society and places blame in the correct places, 306 00:15:58,200 --> 00:16:02,760 Speaker 1: and what type of rhetoric divide and convinces us that ordinary, 307 00:16:02,880 --> 00:16:05,720 Speaker 1: powerless people are the real enemy. And I don't think 308 00:16:05,760 --> 00:16:08,400 Speaker 1: that there's any doubt that there has been you know, 309 00:16:08,560 --> 00:16:12,480 Speaker 1: routine sort of scapegoating rhetoric from Tucker, from politicians on 310 00:16:12,520 --> 00:16:16,280 Speaker 1: the right, and whether or not that with any sort 311 00:16:16,320 --> 00:16:19,000 Speaker 1: of fuel for this individual. There's actually no evidence that 312 00:16:19,040 --> 00:16:21,800 Speaker 1: he took any direct inspiration from Tucker, from any of 313 00:16:21,840 --> 00:16:24,320 Speaker 1: the individuals that are being cited right now. But I 314 00:16:24,320 --> 00:16:26,680 Speaker 1: think it's totally fair game to ask the question about 315 00:16:27,120 --> 00:16:30,120 Speaker 1: what type of rhetoric is ultimately good for society, what 316 00:16:30,200 --> 00:16:33,600 Speaker 1: are accurate reflections of what's actually going on in the society. 317 00:16:33,960 --> 00:16:36,160 Speaker 1: And I think that those questions can lead you to 318 00:16:36,320 --> 00:16:40,960 Speaker 1: a deeper conversation about the roots of hatred and extremist 319 00:16:41,040 --> 00:16:46,160 Speaker 1: violent ideology in America than just the cheap and easy answers, 320 00:16:46,160 --> 00:16:50,200 Speaker 1: which would be we need more internet censorship, let's take 321 00:16:50,240 --> 00:16:53,120 Speaker 1: down one particular cable news hosts. And that's not to 322 00:16:53,240 --> 00:16:56,520 Speaker 1: say because media, you know, media does have an impact 323 00:16:56,560 --> 00:17:00,000 Speaker 1: on society, and the rhetoric actually, you know, really is significant, 324 00:17:00,000 --> 00:17:03,160 Speaker 1: it really does matter. But it's too simple to just 325 00:17:03,520 --> 00:17:07,160 Speaker 1: you know, these trends are ultimately a reflection of sort 326 00:17:07,200 --> 00:17:11,199 Speaker 1: of like deeper rot and deeper problems in American society. 327 00:17:11,680 --> 00:17:15,480 Speaker 1: So politicians and media figures who cynically out of their 328 00:17:15,520 --> 00:17:17,840 Speaker 1: own ambition like give a wink and a nod to 329 00:17:17,880 --> 00:17:21,520 Speaker 1: that rhetoric. They're more a reflection of these undercurrents that 330 00:17:21,560 --> 00:17:24,080 Speaker 1: are going on than they are some sort of leader 331 00:17:24,200 --> 00:17:29,960 Speaker 1: or pioneer. They see what is fueling clicks, what's creating rage, 332 00:17:30,040 --> 00:17:33,359 Speaker 1: what's creating emotion, and they feed off of it. I 333 00:17:33,359 --> 00:17:35,840 Speaker 1: think the deeper question that we need to ask ourselves 334 00:17:35,920 --> 00:17:39,000 Speaker 1: is where that animus ultimately comes from, which is you know, 335 00:17:39,080 --> 00:17:41,360 Speaker 1: something that I'm going to be thinking a lot about 336 00:17:41,440 --> 00:17:43,280 Speaker 1: in continuing to try to expel it. I'm gladly you 337 00:17:43,280 --> 00:17:45,560 Speaker 1: said that, because I think that there's a really disgusting 338 00:17:45,880 --> 00:17:48,520 Speaker 1: parade on right now which is all like, oh, this 339 00:17:48,680 --> 00:17:51,360 Speaker 1: is all the fault of people who might be concerned 340 00:17:51,359 --> 00:17:53,800 Speaker 1: about mass immigration. It's like, look, I look at this 341 00:17:53,840 --> 00:17:56,639 Speaker 1: as a much more derivative of a sociological problem, and 342 00:17:56,680 --> 00:17:58,520 Speaker 1: I think I and many of the people would watch 343 00:17:58,520 --> 00:18:01,119 Speaker 1: a show can see this in the broader context of 344 00:18:01,160 --> 00:18:03,000 Speaker 1: what are some of the major stories we've covered in 345 00:18:03,000 --> 00:18:06,479 Speaker 1: the last week. Opioid debts up fifteen percent, alcohol use 346 00:18:06,600 --> 00:18:10,520 Speaker 1: up forty percent, mass loneliness, friendship crisis. You have COVID 347 00:18:10,560 --> 00:18:14,320 Speaker 1: which caused massive social isolation. And I'm not saying that's 348 00:18:14,359 --> 00:18:16,800 Speaker 1: a justification, but one of the things that you learn 349 00:18:16,880 --> 00:18:19,800 Speaker 1: in social science is that when you have an overall trend, 350 00:18:19,960 --> 00:18:22,359 Speaker 1: the major outliers that are a result of that trend 351 00:18:22,400 --> 00:18:24,760 Speaker 1: are we're going to be really nasty. Like you know, 352 00:18:24,800 --> 00:18:27,359 Speaker 1: when you have millions of people using these types of 353 00:18:27,440 --> 00:18:29,960 Speaker 1: drugs and fentanyl and heroin, then you're obviously going to 354 00:18:30,040 --> 00:18:32,320 Speaker 1: have the tail end of that. More people are going 355 00:18:32,359 --> 00:18:34,720 Speaker 1: to be able to die. Same with socializization, same whenever 356 00:18:34,720 --> 00:18:37,280 Speaker 1: it comes to loneliness and the lack of friendship, and 357 00:18:37,359 --> 00:18:40,399 Speaker 1: also with COVID. I mean, he even literally blames lockdowns 358 00:18:40,400 --> 00:18:42,480 Speaker 1: here for the reason. Now, look, you know, we should 359 00:18:42,480 --> 00:18:44,879 Speaker 1: not take this person out of his words, obviously, and 360 00:18:44,920 --> 00:18:46,440 Speaker 1: one of the things that we learned in the christ 361 00:18:46,560 --> 00:18:49,800 Speaker 1: Church shooting is that there were intentional trollish things that 362 00:18:49,840 --> 00:18:53,199 Speaker 1: were listed within the manifesto in order to try and 363 00:18:53,280 --> 00:18:56,760 Speaker 1: spark up backlash shines here exactly, so trying to blame 364 00:18:56,800 --> 00:19:00,960 Speaker 1: like eco terrorism anyway, My point is, don't take it literally. 365 00:19:01,119 --> 00:19:03,720 Speaker 1: Take it seriously. So the serious thing that we should 366 00:19:03,720 --> 00:19:06,760 Speaker 1: take here is that this person murdered nearly a dozen 367 00:19:06,760 --> 00:19:09,679 Speaker 1: people in cold blood and live stream the thing and 368 00:19:09,840 --> 00:19:13,920 Speaker 1: apparently had zero remorse for this entire killing. What happened here? 369 00:19:14,119 --> 00:19:16,439 Speaker 1: What is this a result of? Like you said, is 370 00:19:16,440 --> 00:19:18,520 Speaker 1: it tied to broad up political movements and to broad 371 00:19:18,520 --> 00:19:21,800 Speaker 1: our political rhetoric? Yeah? I think so. But is it also, 372 00:19:21,960 --> 00:19:24,080 Speaker 1: as you said, the politicians, are they downstream of the 373 00:19:24,119 --> 00:19:26,280 Speaker 1: culture or do they shape it? And what I would 374 00:19:26,280 --> 00:19:27,680 Speaker 1: say is that I think a lot of it is 375 00:19:27,720 --> 00:19:33,720 Speaker 1: a downstream of major sociological dents in our actual civic life, 376 00:19:34,040 --> 00:19:36,119 Speaker 1: which I don't think a lot of people want to fix. 377 00:19:36,280 --> 00:19:40,120 Speaker 1: And I think the current backlash against this if you want, 378 00:19:40,200 --> 00:19:41,960 Speaker 1: I mean, I saw a Rolling Stone article, for example, 379 00:19:41,960 --> 00:19:46,399 Speaker 1: which said that the Republican the shooter was a He 380 00:19:46,520 --> 00:19:49,919 Speaker 1: wasn't a lone wolf, he was a mainstream Republican. It's like, okay, 381 00:19:49,960 --> 00:19:53,320 Speaker 1: so you think that the seventy somethingter million people voted 382 00:19:53,480 --> 00:19:57,199 Speaker 1: for Donald Trump all agree with murdering black people in 383 00:19:57,200 --> 00:20:00,000 Speaker 1: a grocery store. Good luck with that, because you're actually 384 00:20:00,000 --> 00:20:02,399 Speaker 1: going to make those people even more radical. And what 385 00:20:02,440 --> 00:20:06,480 Speaker 1: does that justify? On the other side exactly. That's I 386 00:20:06,520 --> 00:20:13,160 Speaker 1: abhor scapegoating rhetoric period. Innocent, powerless people in this country, 387 00:20:13,280 --> 00:20:18,040 Speaker 1: be they immigrants, refugees, TRUMP supporters, whoever they are, they're 388 00:20:18,040 --> 00:20:21,960 Speaker 1: not the problem. And so I think you can look 389 00:20:22,040 --> 00:20:27,760 Speaker 1: at Tucker's rhetoric about replacement, and you know the way 390 00:20:27,840 --> 00:20:31,320 Speaker 1: that he I mean, he he engages routinely in the 391 00:20:31,400 --> 00:20:33,560 Speaker 1: scapegoating rhetoric. And I think you can call that out 392 00:20:33,640 --> 00:20:36,600 Speaker 1: and abhor it in and of itself and say that 393 00:20:36,760 --> 00:20:39,560 Speaker 1: it is bad, and it's divisive, and it misplaces the 394 00:20:39,560 --> 00:20:43,840 Speaker 1: blame in society and leads to an ugly division. Can 395 00:20:43,880 --> 00:20:48,679 Speaker 1: you draw a direct line between this mass murderer or 396 00:20:48,720 --> 00:20:50,920 Speaker 1: the Tree of Life mass murder or the El Paso 397 00:20:51,359 --> 00:20:54,720 Speaker 1: mass murderer and that rhetoric. I don't think it's fair 398 00:20:54,800 --> 00:20:57,480 Speaker 1: to draw a direct line. Do I think it's fair 399 00:20:57,680 --> 00:21:00,600 Speaker 1: to abhor that rhetoric and say this is ugly, that 400 00:21:00,640 --> 00:21:02,240 Speaker 1: you shouldn't be giving a wink in a nod to 401 00:21:02,240 --> 00:21:05,320 Speaker 1: this stuff. Yeah, I think it's perfectly legitimate to say 402 00:21:05,320 --> 00:21:08,159 Speaker 1: that ultimately. And the other thing that I would say is, 403 00:21:08,240 --> 00:21:13,320 Speaker 1: just like, you know, this idea that that Latinos coming 404 00:21:13,359 --> 00:21:16,000 Speaker 1: in across the border are just going to like automatically 405 00:21:16,040 --> 00:21:19,880 Speaker 1: be democrats is clearly false. Like I mean, it's it's 406 00:21:20,000 --> 00:21:23,520 Speaker 1: very uncomfortably with the fact that Republicans are actually gaining 407 00:21:23,560 --> 00:21:27,399 Speaker 1: a lot of ground with Latino voters. So maybe just 408 00:21:27,600 --> 00:21:32,240 Speaker 1: try to appeal to voters even as demographics continue to change, 409 00:21:32,640 --> 00:21:35,160 Speaker 1: which you know, unfortunately, as someone who's on the left, 410 00:21:35,280 --> 00:21:39,880 Speaker 1: I think Republicans have been succeeding in against their best efforts. 411 00:21:39,920 --> 00:21:44,640 Speaker 1: So anyway, I do think it's complex. But the other 412 00:21:44,760 --> 00:21:49,040 Speaker 1: conversation that's already starting is this is another reason why 413 00:21:49,040 --> 00:21:51,919 Speaker 1: we need more internet censorship. Oh yeah, and that's the 414 00:21:52,000 --> 00:21:54,480 Speaker 1: other one that I mean, not only is that like 415 00:21:54,880 --> 00:21:58,640 Speaker 1: a cheap and easy answer, but it ultimately is ultimately 416 00:21:58,640 --> 00:22:01,720 Speaker 1: going to be counterproductive. Want to just push people further 417 00:22:01,800 --> 00:22:04,600 Speaker 1: and further into the shadows, into the corners, you want 418 00:22:04,600 --> 00:22:07,160 Speaker 1: to make their ideology even more like sort of sexy 419 00:22:07,160 --> 00:22:11,119 Speaker 1: and rebellious. No, you know, I was even irritated that 420 00:22:11,200 --> 00:22:16,320 Speaker 1: it was it was hard to find this manifesto to 421 00:22:16,480 --> 00:22:19,520 Speaker 1: let's read. And I don't agree with that, because again, 422 00:22:19,600 --> 00:22:22,399 Speaker 1: I think it was important for both of us to 423 00:22:22,520 --> 00:22:24,800 Speaker 1: be able to actually read it, not just how the 424 00:22:24,800 --> 00:22:27,639 Speaker 1: news media was characterizing it, but be able to judge 425 00:22:27,960 --> 00:22:31,680 Speaker 1: it for ourselves and see what he's saying. And again 426 00:22:31,760 --> 00:22:33,800 Speaker 1: you should. You know, these are the words of like 427 00:22:33,960 --> 00:22:37,159 Speaker 1: a killer and one of the most you know who 428 00:22:37,240 --> 00:22:40,280 Speaker 1: perpetrate an absolutely evil act, So you have to take 429 00:22:40,359 --> 00:22:42,760 Speaker 1: it for what it is. But I think it's more 430 00:22:42,800 --> 00:22:45,600 Speaker 1: important to dig into these things and try to understand 431 00:22:45,880 --> 00:22:48,040 Speaker 1: the roots of this and how you could come to 432 00:22:48,119 --> 00:22:51,280 Speaker 1: such a vicious and ugly place as he ultimately did. Yeah, 433 00:22:51,320 --> 00:22:52,679 Speaker 1: you know, actually I had a lot of frustration with 434 00:22:52,720 --> 00:22:55,239 Speaker 1: this during the terrorism times. I used to read Al 435 00:22:55,320 --> 00:23:00,280 Speaker 1: Qaeda's inspired magazine. I would read isis Propaganda? I would 436 00:23:00,320 --> 00:23:03,280 Speaker 1: read especially the stuff I was really fascinated. I'm like, 437 00:23:03,280 --> 00:23:05,879 Speaker 1: what is it with these Western Muslims in Europe? I'm like, 438 00:23:05,920 --> 00:23:08,199 Speaker 1: how are they getting all these people to go over there? 439 00:23:08,240 --> 00:23:10,800 Speaker 1: So I read it. I just read the forums, the magazine, 440 00:23:11,080 --> 00:23:13,360 Speaker 1: the reporters of like, oh, brothers, this is what it's 441 00:23:13,440 --> 00:23:15,520 Speaker 1: like in the Caliphate, And now, you know, it actually 442 00:23:15,520 --> 00:23:17,479 Speaker 1: helped me really understand. I'm like, wow, you know, this 443 00:23:17,520 --> 00:23:19,760 Speaker 1: is part of a much broader problem in terms of 444 00:23:19,800 --> 00:23:23,119 Speaker 1: displacement and culture, and like I was just talking about, 445 00:23:23,160 --> 00:23:25,199 Speaker 1: in terms of the tail end effect when you're going 446 00:23:25,280 --> 00:23:27,439 Speaker 1: to have you know, millions of people who are kind 447 00:23:27,480 --> 00:23:30,280 Speaker 1: of quasi rejected by the dominant culture. That's going to 448 00:23:30,400 --> 00:23:33,359 Speaker 1: have some extreme effects on the worst side. And you 449 00:23:33,400 --> 00:23:35,760 Speaker 1: see exactly how Kaida and Isis and all that was 450 00:23:35,800 --> 00:23:38,240 Speaker 1: exploiting that. I thought it was very important. Like I said, 451 00:23:38,280 --> 00:23:42,240 Speaker 1: I watched unfortunately, I watched the New Zealand christ Church video. Again. 452 00:23:42,400 --> 00:23:44,800 Speaker 1: I wanted to force myself because I'm like, Okay, what 453 00:23:45,040 --> 00:23:48,760 Speaker 1: is actually happening? And this is sickening, but it's important 454 00:23:48,800 --> 00:23:50,399 Speaker 1: I think in order to engage with this stuff. I 455 00:23:50,400 --> 00:23:52,760 Speaker 1: watched a lot of Isis stuff as well when I 456 00:23:52,800 --> 00:23:54,520 Speaker 1: was covering it, and yeah, look, I mean I would 457 00:23:54,520 --> 00:23:56,880 Speaker 1: point to the same thing, but I would also say, look, 458 00:23:57,040 --> 00:23:58,679 Speaker 1: you want to go down the road of saying that 459 00:23:58,880 --> 00:24:00,840 Speaker 1: it's a legitimate point of view in this country to 460 00:24:00,840 --> 00:24:02,800 Speaker 1: say that there are problems with mass immigration that we 461 00:24:02,800 --> 00:24:05,080 Speaker 1: should have controls on that it's and I don't think 462 00:24:05,080 --> 00:24:07,320 Speaker 1: there's anything wrong with I think I think there's and 463 00:24:07,400 --> 00:24:11,199 Speaker 1: this is where it's you know, where it becomes tricky 464 00:24:11,280 --> 00:24:14,919 Speaker 1: because I think every single society is going to have 465 00:24:14,960 --> 00:24:18,520 Speaker 1: some debate about what their immigration systems, especially like yeah, 466 00:24:18,600 --> 00:24:20,720 Speaker 1: what are the limits, how do you determine it. I mean, 467 00:24:20,720 --> 00:24:24,240 Speaker 1: these are totally reasonable grounds for policy debates, and we 468 00:24:24,280 --> 00:24:28,120 Speaker 1: can come to different conclusions. Obviously, when you go down 469 00:24:28,160 --> 00:24:30,760 Speaker 1: the path of making this argument that people are being 470 00:24:30,840 --> 00:24:33,720 Speaker 1: brought in to replace other people, and you make it 471 00:24:33,760 --> 00:24:38,480 Speaker 1: this existential threat, and again you're using this to scapegoat 472 00:24:38,880 --> 00:24:42,600 Speaker 1: immigrants like they're the source of your problems, that's when 473 00:24:42,640 --> 00:24:45,760 Speaker 1: you end up, you know, in an ugly place. So 474 00:24:46,680 --> 00:24:48,600 Speaker 1: that's how I view all of this. One other thing 475 00:24:48,680 --> 00:24:52,440 Speaker 1: that I that I think is interesting, and I also 476 00:24:52,440 --> 00:24:54,440 Speaker 1: think it's important to note, like none of what we're 477 00:24:54,440 --> 00:24:58,320 Speaker 1: saying here about the underlying factors denies any like blame 478 00:24:58,359 --> 00:25:02,720 Speaker 1: and culpability of christs physics, you know, evil horrific individual 479 00:25:02,800 --> 00:25:06,760 Speaker 1: who was radicalized by an extremist and violent ideology. So 480 00:25:06,880 --> 00:25:09,679 Speaker 1: I just want to make that completely clear. But you know, 481 00:25:10,000 --> 00:25:13,720 Speaker 1: some of the roots of the modern white power movement 482 00:25:13,920 --> 00:25:17,440 Speaker 1: actually come out of the failures of the Vietnam War. 483 00:25:17,480 --> 00:25:20,359 Speaker 1: And in fact, if you look throughout history, it's at 484 00:25:20,400 --> 00:25:24,280 Speaker 1: the end of wars that you have a spike in 485 00:25:24,640 --> 00:25:28,880 Speaker 1: violent white supremacist movements because ultimately, I mean you think 486 00:25:28,920 --> 00:25:32,640 Speaker 1: about in a war, soldiers are taught to basically dehumanize 487 00:25:32,720 --> 00:25:36,439 Speaker 1: their enemy. So if you've already sort of dehumanized one 488 00:25:36,440 --> 00:25:38,200 Speaker 1: group of people, and then you come out of Vietnam 489 00:25:38,240 --> 00:25:40,080 Speaker 1: and on the right, there was a narrative about, like 490 00:25:40,119 --> 00:25:43,080 Speaker 1: the government failed us. If we had just been allowed 491 00:25:43,119 --> 00:25:45,280 Speaker 1: to do our thing and hadn't had all these rules 492 00:25:45,320 --> 00:25:49,040 Speaker 1: on terms of engagement, we could have won. And you know, 493 00:25:49,160 --> 00:25:51,960 Speaker 1: also the feeling that soldiers were spat upon and that 494 00:25:52,040 --> 00:25:55,080 Speaker 1: their service wasn't honored when they came back. And you 495 00:25:55,200 --> 00:25:59,560 Speaker 1: have a bunch of you know, armed young men, trained 496 00:25:59,600 --> 00:26:02,399 Speaker 1: young men who have now lost all of their purpose 497 00:26:02,440 --> 00:26:06,760 Speaker 1: and meaning that can create fertile conditions for this type 498 00:26:06,800 --> 00:26:10,359 Speaker 1: of militant extremist movement. And so in fact you saw 499 00:26:10,800 --> 00:26:15,080 Speaker 1: coming out of the Vietnam War this new resurgence in 500 00:26:15,240 --> 00:26:17,600 Speaker 1: white power moves also of course in reaction to like 501 00:26:17,640 --> 00:26:20,960 Speaker 1: the cultural changes of the nineteen sixties and all of that. Ultimately, 502 00:26:21,119 --> 00:26:24,320 Speaker 1: so you know, it's just when you think about these issues, 503 00:26:24,359 --> 00:26:27,840 Speaker 1: there's a lot more going on than just what cable 504 00:26:27,880 --> 00:26:31,320 Speaker 1: news hosts are saying or whether Internet is censored or not. 505 00:26:31,880 --> 00:26:36,719 Speaker 1: There's a reason why America is such a violent society ultimately, 506 00:26:36,840 --> 00:26:39,520 Speaker 1: and I do think part of it is you know, 507 00:26:39,640 --> 00:26:43,359 Speaker 1: violence is normalized through our endless wars that we repeatedly 508 00:26:43,400 --> 00:26:46,240 Speaker 1: engage in as one particular factor, not to mention the 509 00:26:46,320 --> 00:26:49,080 Speaker 1: loss of meaning, as we've shipped jobs overseas and we've 510 00:26:49,080 --> 00:26:51,199 Speaker 1: made it very difficult for people to be able to 511 00:26:51,760 --> 00:26:54,159 Speaker 1: have that family unit that is, you know, such a 512 00:26:54,200 --> 00:26:57,040 Speaker 1: core source of like meaning and purpose for a lot 513 00:26:57,080 --> 00:27:00,200 Speaker 1: of human beings here and around the world. So it's 514 00:27:00,200 --> 00:27:02,360 Speaker 1: a complex conversation. I guess that's just what I'll say. 515 00:27:04,440 --> 00:27:07,960 Speaker 1: So this is very important both Finland and Sweden moving 516 00:27:08,040 --> 00:27:11,639 Speaker 1: much closer towards NATO membership. Sweden's ruling party, which is 517 00:27:11,680 --> 00:27:14,600 Speaker 1: the Social Democratic Party, is paving the way for the 518 00:27:14,640 --> 00:27:19,000 Speaker 1: Scandinavian country to submit a joint bid with Finland to 519 00:27:19,480 --> 00:27:23,080 Speaker 1: join NATO. This is actually very important because Sweden in 520 00:27:23,119 --> 00:27:28,240 Speaker 1: particular has two hundred year history of military non alignment 521 00:27:28,320 --> 00:27:31,359 Speaker 1: on the European continent, which goes back almost you know, 522 00:27:31,400 --> 00:27:34,240 Speaker 1: as far as Switzerland in terms of its reputation as 523 00:27:34,280 --> 00:27:36,640 Speaker 1: a neutral country, and for a long time they kind 524 00:27:36,640 --> 00:27:40,439 Speaker 1: of pursued a strategy of strategic autonomy, specifically because they 525 00:27:40,480 --> 00:27:45,359 Speaker 1: were caught between their their cultural ties and business relationships 526 00:27:45,400 --> 00:27:49,280 Speaker 1: with the West, but also their obviously geographical proximity towards 527 00:27:49,320 --> 00:27:52,920 Speaker 1: Russia and their view as a place within a semi 528 00:27:52,920 --> 00:27:56,040 Speaker 1: traditional Russian sphere of influence, although obviously all these things 529 00:27:56,040 --> 00:27:59,200 Speaker 1: have changed, you know, hands many many times over the years, 530 00:27:59,320 --> 00:28:04,040 Speaker 1: but you can't deny geographical approximation. Same obviously with Finland's 531 00:28:04,080 --> 00:28:05,919 Speaker 1: put this up there on the screen, which is that 532 00:28:06,000 --> 00:28:09,600 Speaker 1: Finland is also set to apply to NATO, like I said, 533 00:28:09,640 --> 00:28:14,399 Speaker 1: with that joint application, and Finland also, frankly, maybe the 534 00:28:14,440 --> 00:28:18,680 Speaker 1: more provocative I think of the two, given the fact 535 00:28:18,720 --> 00:28:21,520 Speaker 1: that Finland and Russia had actually fought a war before, 536 00:28:22,160 --> 00:28:24,800 Speaker 1: you know, back in the nineteen forties. This is somewhere 537 00:28:24,840 --> 00:28:26,840 Speaker 1: where there's long been kind of a cat and a 538 00:28:26,880 --> 00:28:30,399 Speaker 1: mouse game between the two people, remember, you know, the 539 00:28:30,480 --> 00:28:34,959 Speaker 1: nineteen thirty nine Winter War between Russia and Finland. And 540 00:28:35,359 --> 00:28:38,160 Speaker 1: in Finland in particular, we saw this in the polling data. 541 00:28:38,520 --> 00:28:41,240 Speaker 1: Most of their population did not want to join NATO 542 00:28:41,400 --> 00:28:44,800 Speaker 1: before the Russian invasion of Ukraine, right, they were like, listen, 543 00:28:44,920 --> 00:28:47,480 Speaker 1: we don't want any of this. We see the Russians, 544 00:28:47,520 --> 00:28:51,280 Speaker 1: they're crazy. We don't necessarily want to see any sort 545 00:28:51,280 --> 00:28:54,360 Speaker 1: of thing like this. I think strategic autonomy in our 546 00:28:54,360 --> 00:28:57,920 Speaker 1: massive welfare state. That's good with us. Well, what's really 547 00:28:57,960 --> 00:28:59,840 Speaker 1: happened here is that and this again, you know, this 548 00:28:59,920 --> 00:29:02,520 Speaker 1: is exactly what I predicted the day of the Russian invasion. 549 00:29:02,520 --> 00:29:04,800 Speaker 1: I was like, what Putin has done is he has 550 00:29:04,920 --> 00:29:07,400 Speaker 1: united Western Europe in a way it has not been 551 00:29:07,520 --> 00:29:10,520 Speaker 1: united since the threat of the Cold War. And he 552 00:29:10,720 --> 00:29:15,640 Speaker 1: somehow pushed neutral populations like Finland and Sweden who did 553 00:29:15,640 --> 00:29:17,520 Speaker 1: not want to join NATO. They're like, all right, we 554 00:29:17,560 --> 00:29:19,400 Speaker 1: got to get into NATO here. So I think that, 555 00:29:19,440 --> 00:29:22,480 Speaker 1: you know, in terms of a strategic backlash against Russia, 556 00:29:22,520 --> 00:29:25,239 Speaker 1: which the entire purpose that they say that they were 557 00:29:25,280 --> 00:29:28,840 Speaker 1: expanding into you or going and invading Ukraine was oh, 558 00:29:28,880 --> 00:29:31,560 Speaker 1: well we have had NATO push up against our border, 559 00:29:31,560 --> 00:29:34,080 Speaker 1: which is true. You know, this is something where it's 560 00:29:34,160 --> 00:29:36,560 Speaker 1: becoming a Western client state. We have to go in 561 00:29:36,600 --> 00:29:39,960 Speaker 1: and have a military op integration to present prevent this. Well, 562 00:29:40,080 --> 00:29:43,480 Speaker 1: now you've invited these own democratic populations in order to 563 00:29:43,520 --> 00:29:45,840 Speaker 1: try and join NATO. Now that's one side of the conversation. 564 00:29:46,000 --> 00:29:47,480 Speaker 1: I think the other side of the conversation that we 565 00:29:47,480 --> 00:29:50,240 Speaker 1: should also focus on is we also have a choice. 566 00:29:50,280 --> 00:29:52,920 Speaker 1: There are thirty seven member countries in NATO. Do we 567 00:29:53,040 --> 00:29:56,320 Speaker 1: want to extend the United States nuclear umbrella to Finland 568 00:29:56,320 --> 00:29:58,280 Speaker 1: and Sweden. And this is going to be probably the 569 00:29:58,280 --> 00:30:00,360 Speaker 1: most controversial part of this. I know there are a 570 00:30:00,360 --> 00:30:01,600 Speaker 1: lot of people are going to be upset by this, 571 00:30:01,840 --> 00:30:04,280 Speaker 1: but I think we should have a very serious discussion 572 00:30:04,520 --> 00:30:07,600 Speaker 1: as to whether the US nuclear umbrella should be extended 573 00:30:07,760 --> 00:30:11,480 Speaker 1: to Helsinki and Stockholm. We should really have a conversation 574 00:30:11,520 --> 00:30:14,800 Speaker 1: around this. Does it mean that we should be willing 575 00:30:14,840 --> 00:30:17,560 Speaker 1: to go to the brink and possibly pass the brink 576 00:30:17,560 --> 00:30:21,120 Speaker 1: of nuclear war in order to protect these far flung 577 00:30:21,160 --> 00:30:23,880 Speaker 1: borders which are not even in Western Europe, but all 578 00:30:23,960 --> 00:30:27,239 Speaker 1: the way to the edge and bordering along Russia. We 579 00:30:27,280 --> 00:30:29,400 Speaker 1: already have that in the case of the Baltic States, 580 00:30:29,600 --> 00:30:32,280 Speaker 1: in the case of Poland. Obviously, in two thousand and 581 00:30:32,320 --> 00:30:35,680 Speaker 1: eight we invited Georgia and Ukraine in order to join NATO. 582 00:30:35,720 --> 00:30:37,720 Speaker 1: That didn't end up materializing, but that was a key 583 00:30:37,800 --> 00:30:41,440 Speaker 1: moment within this and now with the expeditious nature that 584 00:30:41,480 --> 00:30:43,959 Speaker 1: this is moving, this is a conversation that we need 585 00:30:44,000 --> 00:30:46,360 Speaker 1: to have in real time that we did not have 586 00:30:46,480 --> 00:30:48,640 Speaker 1: in the nineteen nineties, in the two thousands, when we 587 00:30:48,720 --> 00:30:52,200 Speaker 1: extended NATO membership to the Baltic States, despite the fact 588 00:30:52,200 --> 00:30:53,880 Speaker 1: that there were a lot of voices at the time 589 00:30:54,080 --> 00:30:56,560 Speaker 1: who warned against doing so. And just to show you 590 00:30:56,600 --> 00:30:58,959 Speaker 1: how bipartisan this is, go and put this up there 591 00:30:59,000 --> 00:31:02,560 Speaker 1: on the screen, which is that Republican leader Mitch McConnell 592 00:31:02,760 --> 00:31:08,320 Speaker 1: just visited. He visited Kiev and he met with Zelenski 593 00:31:08,560 --> 00:31:11,560 Speaker 1: where he told him that he had the support for 594 00:31:11,680 --> 00:31:14,840 Speaker 1: Finland and Sweden to join NATO. Now, why does that matter. 595 00:31:15,080 --> 00:31:17,960 Speaker 1: NATO is a treaty which means that you need two 596 00:31:18,080 --> 00:31:20,920 Speaker 1: thirds of the US Senate in order to ratify the 597 00:31:20,960 --> 00:31:26,680 Speaker 1: new NATO treaty to allow these new countries in to NATO. Now, obviously, 598 00:31:26,760 --> 00:31:28,480 Speaker 1: I think a lot of the Democrats are basically on 599 00:31:28,560 --> 00:31:30,680 Speaker 1: record as saying they might do so, but a lot 600 00:31:30,720 --> 00:31:33,239 Speaker 1: of the Republicans it has a relatively open question. There 601 00:31:33,240 --> 00:31:35,120 Speaker 1: are people like Rand Paul and others and we'll get 602 00:31:35,120 --> 00:31:37,600 Speaker 1: to this in a bit who'd objected the Ukraine bill. 603 00:31:37,920 --> 00:31:41,320 Speaker 1: But he saying that the majority of his caucus supports 604 00:31:41,360 --> 00:31:44,160 Speaker 1: this makes this a de facto conclusion that this is 605 00:31:44,240 --> 00:31:48,920 Speaker 1: absolutely going to happen. However, there's also a geopolitical part 606 00:31:48,960 --> 00:31:51,280 Speaker 1: to this which is also kind of interesting and there's 607 00:31:51,280 --> 00:31:52,720 Speaker 1: a lot of reasons as to why this might be happening. 608 00:31:52,760 --> 00:31:54,760 Speaker 1: It's put this up there on the screen. People forget. 609 00:31:54,800 --> 00:31:57,560 Speaker 1: You know, Turkey is in NATO, it's under a dictatorship 610 00:31:57,600 --> 00:32:04,120 Speaker 1: by Recipi, Erdowan and Airedowan. Actually, despite previously telling the 611 00:32:04,120 --> 00:32:07,000 Speaker 1: Finns and the Swedes that he was kind of okay 612 00:32:07,320 --> 00:32:10,440 Speaker 1: with them joining, he's now gone ahead and said that 613 00:32:10,560 --> 00:32:14,480 Speaker 1: he may be against Finland and Sweden joining NATO. He 614 00:32:14,520 --> 00:32:17,920 Speaker 1: did not say specifically that he would issue an actual 615 00:32:17,960 --> 00:32:21,239 Speaker 1: objection because he would probably be the only country in 616 00:32:21,320 --> 00:32:23,720 Speaker 1: order to deny doing so. But you know, this is 617 00:32:23,720 --> 00:32:25,920 Speaker 1: also a country which is in NATO, which has done 618 00:32:26,000 --> 00:32:28,440 Speaker 1: military trade with Russia. I think they have like an 619 00:32:28,520 --> 00:32:31,960 Speaker 1: S three hundred missile system that they bought from the Russians, 620 00:32:31,960 --> 00:32:34,400 Speaker 1: and they have their own crazy relationship with the Russians. 621 00:32:34,400 --> 00:32:37,800 Speaker 1: Given what's happening in Syria, his objections against Sweden and 622 00:32:37,880 --> 00:32:41,320 Speaker 1: Finland classically have to do with the Kurds and the PKK, 623 00:32:41,720 --> 00:32:44,280 Speaker 1: So it's you know, for domestic political reasons, he might 624 00:32:44,280 --> 00:32:46,280 Speaker 1: be trying to force a chit from those two countries 625 00:32:46,400 --> 00:32:48,680 Speaker 1: in order to allow them in. But also just shows 626 00:32:48,680 --> 00:32:51,280 Speaker 1: you that if there is any opposition to this. It 627 00:32:51,320 --> 00:32:53,880 Speaker 1: ain't happening here in America. I think that's a tragedy. 628 00:32:54,080 --> 00:32:59,240 Speaker 1: We supply the vast majority of the arms within NATO. Recently, 629 00:32:59,560 --> 00:33:03,640 Speaker 1: Europe just hope people know, only appropriated the EU five 630 00:33:03,720 --> 00:33:06,960 Speaker 1: hundred million euros to go to Ukraine. How much did 631 00:33:07,000 --> 00:33:11,480 Speaker 1: we just approve forty billion? So that's eighty times what 632 00:33:11,600 --> 00:33:15,560 Speaker 1: the Europeans are sending over to Ukraine. You might want 633 00:33:15,600 --> 00:33:18,080 Speaker 1: to ask that question. I mean, we don't live in Europe. 634 00:33:18,160 --> 00:33:20,480 Speaker 1: Last time I checked. It's a much bigger of a 635 00:33:20,520 --> 00:33:23,520 Speaker 1: threat to their security than it is to us. I 636 00:33:23,520 --> 00:33:25,480 Speaker 1: don't really know why we're footing the bill for the 637 00:33:25,640 --> 00:33:28,880 Speaker 1: entire security of the continent, so I think that's just 638 00:33:29,080 --> 00:33:33,160 Speaker 1: masks a Look. I have complete sympathy for the Finns 639 00:33:33,200 --> 00:33:34,920 Speaker 1: and the Swedes. If I were them, I would want 640 00:33:34,920 --> 00:33:36,680 Speaker 1: to do the same thing, But we got to look 641 00:33:36,720 --> 00:33:39,080 Speaker 1: out for what's good for us, and I don't think 642 00:33:39,120 --> 00:33:41,800 Speaker 1: this is necessarily the best decision. Yeah, I mean, listen, 643 00:33:41,920 --> 00:33:47,880 Speaker 1: this would about double, roughly double the land border that 644 00:33:47,960 --> 00:33:51,040 Speaker 1: Russia shares with NATO. Because Finland shares an eight hundred 645 00:33:51,040 --> 00:33:56,160 Speaker 1: and thirty mile border with Russia. This is an extraordinarily 646 00:33:56,200 --> 00:34:01,120 Speaker 1: significant decision in terms of overall geopology and in terms 647 00:34:01,200 --> 00:34:05,040 Speaker 1: of the United States specifically, and it is being presented 648 00:34:05,360 --> 00:34:08,279 Speaker 1: by the media as a FATA company, like you have 649 00:34:08,360 --> 00:34:11,480 Speaker 1: no say, like it's a done deal. And also it's 650 00:34:11,520 --> 00:34:15,000 Speaker 1: being done very casually, like this is no big thing. 651 00:34:15,560 --> 00:34:18,880 Speaker 1: When listen, Ultimately, as we've said a million times, Russia 652 00:34:19,000 --> 00:34:22,120 Speaker 1: and Putin specifically, not the Russian people, but Putin and 653 00:34:22,120 --> 00:34:27,360 Speaker 1: his Kremlin cronies specifically, are responsible for the unjustified invasion 654 00:34:27,480 --> 00:34:29,719 Speaker 1: of Ukraine. It is wrong, it is bad. It was 655 00:34:29,760 --> 00:34:34,360 Speaker 1: also completely predictable by our decision to expand NATO, another 656 00:34:34,719 --> 00:34:39,040 Speaker 1: thing that happened with almost no public debate. And this 657 00:34:39,080 --> 00:34:43,920 Speaker 1: is why we have to push back on this anti populist, 658 00:34:44,080 --> 00:34:48,000 Speaker 1: pro elitist way of doing governance where they just present 659 00:34:48,080 --> 00:34:50,440 Speaker 1: to you something like this as it's a done deal 660 00:34:50,520 --> 00:34:52,520 Speaker 1: and don't worry your pretty little head about it, and 661 00:34:52,560 --> 00:34:54,239 Speaker 1: we know what's going on here, and we know what 662 00:34:54,280 --> 00:34:56,400 Speaker 1: we're going to do. And you know, Mitch McConnell and 663 00:34:56,440 --> 00:34:59,000 Speaker 1: Chuck Schumer are both on board. So let's go ahead. 664 00:35:00,200 --> 00:35:04,240 Speaker 1: Are you ready to extend Article five protections two more nations? 665 00:35:04,320 --> 00:35:07,440 Speaker 1: Are you? And the fact that it's not that question 666 00:35:07,560 --> 00:35:11,200 Speaker 1: isn't even raised so that people can be informed by 667 00:35:11,320 --> 00:35:16,640 Speaker 1: the news media. Is extremely, extremely disturbing. And it's a 668 00:35:16,680 --> 00:35:20,200 Speaker 1: pattern not just with NATO expansion, which we can now 669 00:35:20,239 --> 00:35:24,839 Speaker 1: see has been incredibly consequential in terms of global matter 670 00:35:25,239 --> 00:35:28,120 Speaker 1: global security, right, But I mean you see it with 671 00:35:28,160 --> 00:35:30,200 Speaker 1: regard to FED policy, you see it with regard to 672 00:35:30,280 --> 00:35:33,879 Speaker 1: almost everything, where it's just trust the experts. We got this, 673 00:35:34,320 --> 00:35:36,719 Speaker 1: don't dig into the details. We're going to present it 674 00:35:36,760 --> 00:35:39,800 Speaker 1: as a done deal, as if there's no even room 675 00:35:40,440 --> 00:35:42,920 Speaker 1: or space for public debate on the matter. And I 676 00:35:42,920 --> 00:35:45,919 Speaker 1: think that is completely insane. Yeah, you know, I never 677 00:35:45,920 --> 00:35:48,880 Speaker 1: thought i'd be this guy, but I have been increasingly 678 00:35:48,960 --> 00:35:52,120 Speaker 1: appreciative of a vision of the founders and what the 679 00:35:52,160 --> 00:35:54,560 Speaker 1: things that they saw at that time was that we 680 00:35:54,600 --> 00:35:56,440 Speaker 1: do not want to get entangled in a lot of 681 00:35:56,480 --> 00:35:59,160 Speaker 1: these foreign alliances, that if we are to do so, 682 00:35:59,320 --> 00:36:04,080 Speaker 1: given the detail aabilizing nature of American American interference and 683 00:36:04,520 --> 00:36:07,680 Speaker 1: quasi alliances with the West, and how that really shaped 684 00:36:07,719 --> 00:36:12,200 Speaker 1: their worldview, it's actually crazy how little has changed, which 685 00:36:12,239 --> 00:36:15,000 Speaker 1: is that the reason why they put that two thirds 686 00:36:15,000 --> 00:36:17,680 Speaker 1: majority in the Senate is they said this has to 687 00:36:17,719 --> 00:36:21,280 Speaker 1: be ratified by a supermajority two thirds of the people's 688 00:36:21,320 --> 00:36:24,640 Speaker 1: representatives inside the United States Senate, which should advise and consent. 689 00:36:24,840 --> 00:36:26,880 Speaker 1: And we should also remember this, we have a long 690 00:36:27,000 --> 00:36:31,040 Speaker 1: period in our history of rejecting international agreements which are 691 00:36:31,080 --> 00:36:34,239 Speaker 1: presidents and which the ruling elite at the time thought 692 00:36:34,280 --> 00:36:36,960 Speaker 1: were great ideas, like the League of Nations and Lodges 693 00:36:37,160 --> 00:36:40,840 Speaker 1: fourteen points. There were real robots, I mean Woodrow Wilson, 694 00:36:40,840 --> 00:36:43,279 Speaker 1: people forget this, went on a stump tour of this 695 00:36:43,520 --> 00:36:46,839 Speaker 1: entire country on the back of a railroad on the caboos, 696 00:36:46,880 --> 00:36:50,439 Speaker 1: stopping in town to town, preaching why we need the 697 00:36:50,719 --> 00:36:53,080 Speaker 1: League of Nations. And then Henry Cabot Lodge and the 698 00:36:53,080 --> 00:36:56,280 Speaker 1: Republicans went after it, and they had a huge debate, 699 00:36:56,400 --> 00:37:00,480 Speaker 1: I mean, something we would barely recognize over an actual matter. 700 00:37:00,600 --> 00:37:04,160 Speaker 1: And I am calling for the same thing on this 701 00:37:04,200 --> 00:37:08,640 Speaker 1: one because being just slept walk into alliances of which 702 00:37:08,680 --> 00:37:11,359 Speaker 1: you and I and our children may have to all 703 00:37:11,400 --> 00:37:14,360 Speaker 1: one day pay the price for is not something that 704 00:37:14,400 --> 00:37:17,600 Speaker 1: we should do so half heartedly. Well because the elites 705 00:37:17,680 --> 00:37:20,319 Speaker 1: it won't be their kids who are fighting and dying 706 00:37:20,360 --> 00:37:23,040 Speaker 1: these wars. I mean, that's what you have to keep 707 00:37:23,040 --> 00:37:25,440 Speaker 1: in mind. Is are you willing or are you willing 708 00:37:25,520 --> 00:37:28,279 Speaker 1: ready to send your sons and daughters over to fight 709 00:37:28,320 --> 00:37:31,640 Speaker 1: and die in these potential wars for you know, Finland 710 00:37:31,640 --> 00:37:34,080 Speaker 1: and Sweden. I mean, that's the core of the question. Well, 711 00:37:34,160 --> 00:37:35,560 Speaker 1: let me give the opposite. And so I had you 712 00:37:35,560 --> 00:37:38,200 Speaker 1: a big argument with Marshall over this. I'll give you 713 00:37:38,239 --> 00:37:41,239 Speaker 1: his I think somebody should give the y ostiale stew 714 00:37:41,239 --> 00:37:43,359 Speaker 1: We should give the ProView, which is that it is 715 00:37:43,760 --> 00:37:47,600 Speaker 1: likely inevitable that any war where Russia invaded Finland or 716 00:37:47,640 --> 00:37:49,719 Speaker 1: Sweden is going to draw the United States in. And 717 00:37:49,760 --> 00:37:53,400 Speaker 1: I think that's probably accurate given the current state, especially 718 00:37:53,400 --> 00:37:57,040 Speaker 1: with happened in Ukraine, and especially if our NATO partners 719 00:37:57,080 --> 00:37:59,040 Speaker 1: like the UK and France and all of them were 720 00:37:59,080 --> 00:38:01,160 Speaker 1: to get involved. Yeah, I kind of do think they 721 00:38:01,160 --> 00:38:03,239 Speaker 1: would probably go to war if that were to happen, 722 00:38:03,320 --> 00:38:05,000 Speaker 1: that the United States would then be dragged into this 723 00:38:05,000 --> 00:38:07,360 Speaker 1: war regardless because of the current alliance system. So we 724 00:38:07,480 --> 00:38:11,320 Speaker 1: might as well extend the deterrent factor to Article five, 725 00:38:11,400 --> 00:38:14,520 Speaker 1: to Stockholm and to Helsinki. Not a terrible argument. I'll 726 00:38:14,520 --> 00:38:16,759 Speaker 1: tell you why I disagree with it, which is that 727 00:38:17,160 --> 00:38:21,520 Speaker 1: I would rather us get pulled in kicking and screaming 728 00:38:21,840 --> 00:38:25,640 Speaker 1: into a war for Helsinki and Stockholm than to have 729 00:38:26,080 --> 00:38:29,480 Speaker 1: no choice over them. I want every single Senator and 730 00:38:29,560 --> 00:38:34,440 Speaker 1: congressman to vote. I want to send American troops to 731 00:38:34,640 --> 00:38:38,319 Speaker 1: fight and die for the capital of Helsinki and Stockholm. 732 00:38:38,360 --> 00:38:40,680 Speaker 1: And if they vote so be it. I'll even sign up. 733 00:38:40,719 --> 00:38:42,680 Speaker 1: I guarantee you that if we go to war over 734 00:38:42,680 --> 00:38:45,160 Speaker 1: those things and the People's representatives think, I would be 735 00:38:45,200 --> 00:38:47,840 Speaker 1: happily in order to stand in that, because that's something 736 00:38:47,840 --> 00:38:51,080 Speaker 1: that I believe in. That being said, this is not 737 00:38:51,200 --> 00:38:54,520 Speaker 1: that vote, and this vote does not carry the consequence 738 00:38:54,600 --> 00:38:57,160 Speaker 1: that it should of the height of there are Russian 739 00:38:57,200 --> 00:38:59,960 Speaker 1: missiles reigning down on Helsinki. Now you can argue that 740 00:39:00,120 --> 00:39:01,919 Speaker 1: that it's an America's job in order to defend those 741 00:39:02,200 --> 00:39:04,600 Speaker 1: two capitals, and I accept that. I think that's a fine, 742 00:39:05,200 --> 00:39:08,800 Speaker 1: legitimate point of view. But I would much rather every 743 00:39:08,840 --> 00:39:12,120 Speaker 1: single People's representative vote to send us all to fight 744 00:39:12,200 --> 00:39:14,840 Speaker 1: and to die over there, ben to just have it 745 00:39:15,000 --> 00:39:19,000 Speaker 1: just get backdoored. Article five. There's two things there. Number 746 00:39:19,080 --> 00:39:22,239 Speaker 1: one is the point you're making, which I think is 747 00:39:22,280 --> 00:39:25,960 Speaker 1: really important, which it's very different a vote that's in 748 00:39:26,040 --> 00:39:29,120 Speaker 1: the abstract we come to their defense. OK, yeah, sure, 749 00:39:29,200 --> 00:39:32,560 Speaker 1: right versus no, no, right now, are you willing to 750 00:39:32,600 --> 00:39:34,520 Speaker 1: go and fight and die? I think those are two 751 00:39:34,719 --> 00:39:37,480 Speaker 1: very different questions that land very differently with the American people, 752 00:39:37,520 --> 00:39:40,120 Speaker 1: So agree with you on that point. I would also 753 00:39:40,280 --> 00:39:44,440 Speaker 1: question the idea that it really serves as a deterrent 754 00:39:45,120 --> 00:39:50,880 Speaker 1: versus as an irritant and an escalating factor, because, I mean, 755 00:39:51,280 --> 00:39:54,480 Speaker 1: the expansion of NATO thus far has not served as 756 00:39:54,520 --> 00:39:58,839 Speaker 1: a deterrent to Russian aggression. In fact, it has exacerbated 757 00:39:58,880 --> 00:40:02,520 Speaker 1: and much made that AGGRESSI predictable and much more likely. 758 00:40:02,560 --> 00:40:05,200 Speaker 1: Again not taking agency away from Russia the bad things 759 00:40:05,239 --> 00:40:08,920 Speaker 1: that Putin is doing, So I would dispute the idea 760 00:40:09,480 --> 00:40:13,200 Speaker 1: that this would really serve as an effective deterrent versus 761 00:40:13,239 --> 00:40:17,840 Speaker 1: being yet another escalatory step. And in fact, you know 762 00:40:17,920 --> 00:40:21,440 Speaker 1: what the Russian Foreign minister has said is that they 763 00:40:21,480 --> 00:40:25,160 Speaker 1: would have to take some sort of retaliatory action and 764 00:40:25,200 --> 00:40:27,239 Speaker 1: that it would be a grave mistake, and that it 765 00:40:27,280 --> 00:40:29,239 Speaker 1: would be a grave mistake. And I think that we 766 00:40:29,239 --> 00:40:31,680 Speaker 1: should take their words very seriously and consider what those 767 00:40:31,680 --> 00:40:34,879 Speaker 1: consequences are as well. Just because they're a military joke 768 00:40:35,000 --> 00:40:36,960 Speaker 1: right now in Ukraine does not mean that they have 769 00:40:37,000 --> 00:40:39,200 Speaker 1: an immense amount of force in order to bring to bear, 770 00:40:39,280 --> 00:40:42,160 Speaker 1: and of course they remain a nuclear on power. I mean, look, 771 00:40:42,239 --> 00:40:43,759 Speaker 1: I don't know how many times I have to say it. 772 00:40:43,800 --> 00:40:46,720 Speaker 1: They have been beaten or they have been looked beaten 773 00:40:46,840 --> 00:40:49,880 Speaker 1: and downtrodden and all of this many many, many many 774 00:40:49,960 --> 00:40:52,040 Speaker 1: times in their history, and they always come back in 775 00:40:52,080 --> 00:40:55,680 Speaker 1: order to remind us that Russia really should not be underestimated. 776 00:40:55,760 --> 00:40:58,279 Speaker 1: So look, I think, you know, maybe we'll try to 777 00:40:58,280 --> 00:40:59,839 Speaker 1: give you more of the outside of the debate. We're 778 00:40:59,840 --> 00:41:01,960 Speaker 1: going to somebody on tomorrow to talk about this in 779 00:41:02,000 --> 00:41:04,839 Speaker 1: a bigger, grand strategic context, because I do think that 780 00:41:04,880 --> 00:41:07,200 Speaker 1: the no matter what, even if you do support it, 781 00:41:07,520 --> 00:41:10,000 Speaker 1: these fins in the suites, if you join, you better 782 00:41:10,000 --> 00:41:11,960 Speaker 1: pay up, because I don't want to see those people, 783 00:41:12,239 --> 00:41:14,520 Speaker 1: you know, say, you know, they have the biggest welfare 784 00:41:14,520 --> 00:41:17,280 Speaker 1: state on the planet, which is fine, but I should 785 00:41:17,320 --> 00:41:20,759 Speaker 1: we subsidize it by supplying you all these arms and 786 00:41:20,840 --> 00:41:25,799 Speaker 1: military equipment and all. We're backstopping the entire security of 787 00:41:25,840 --> 00:41:29,719 Speaker 1: the European continent by eighty times more than they are. 788 00:41:29,800 --> 00:41:32,799 Speaker 1: And they are rich countries. They have their own GDPs 789 00:41:32,840 --> 00:41:36,120 Speaker 1: and national society. So no matter what, happens here. These 790 00:41:36,120 --> 00:41:38,799 Speaker 1: people better be willing to pay, because it is not 791 00:41:38,960 --> 00:41:43,759 Speaker 1: fair to you know, to our tax payers, to our citizens, 792 00:41:43,920 --> 00:41:46,560 Speaker 1: in order to backstop so much of their country. This 793 00:41:46,640 --> 00:41:49,160 Speaker 1: is an important story and interesting one in terms of 794 00:41:49,200 --> 00:41:51,319 Speaker 1: the culture and how this is all working out. Let's 795 00:41:51,320 --> 00:41:54,400 Speaker 1: put this up there on the screen. Netflix basically issued 796 00:41:54,440 --> 00:41:59,240 Speaker 1: a memo to its entire staff where in a very 797 00:41:59,280 --> 00:42:03,600 Speaker 1: polite way, they say, it's not actually that blite. It's basically, 798 00:42:04,080 --> 00:42:07,120 Speaker 1: if you disagree with what we are putting out, you 799 00:42:07,160 --> 00:42:09,759 Speaker 1: can leave. So here's what they say. As employees, we 800 00:42:09,800 --> 00:42:13,160 Speaker 1: support the principle that Netflix offers a diversity of stories, 801 00:42:13,400 --> 00:42:15,759 Speaker 1: even if we find some titles counter to our own 802 00:42:15,760 --> 00:42:18,920 Speaker 1: personal values. Depending on your role, you may need to 803 00:42:18,960 --> 00:42:21,680 Speaker 1: work on titles you perceive to be harmful. If you 804 00:42:21,719 --> 00:42:24,520 Speaker 1: find it hard to support our content, breath, Netflix may 805 00:42:24,520 --> 00:42:27,479 Speaker 1: not be the best place for you. And that went 806 00:42:27,520 --> 00:42:30,600 Speaker 1: out to all of its staff, also with the basic 807 00:42:30,680 --> 00:42:32,839 Speaker 1: acknowledgement that a lot of the people who have led 808 00:42:32,880 --> 00:42:37,080 Speaker 1: these internal revolts around the Dave Chappelle special have already 809 00:42:37,120 --> 00:42:40,400 Speaker 1: been fired. And I think it's actually an important demarcation 810 00:42:40,560 --> 00:42:43,120 Speaker 1: line in some of these culture war fights, which is 811 00:42:43,160 --> 00:42:45,880 Speaker 1: that At the end of the day, the vast majority 812 00:42:45,880 --> 00:42:47,640 Speaker 1: of the people who work at these companies do not 813 00:42:47,800 --> 00:42:51,680 Speaker 1: care either way. Are they liberal? Yeah? Probably? Did they 814 00:42:51,840 --> 00:42:55,480 Speaker 1: really object to the Dave Chappelle Maybe, but did they 815 00:42:55,680 --> 00:42:59,200 Speaker 1: perceive it as personally harmful to their ability in order 816 00:42:59,239 --> 00:43:02,440 Speaker 1: to conduct their jobs? No? This actually same happened at 817 00:43:02,520 --> 00:43:06,759 Speaker 1: Disney when this whole Florida speaking out against this, which 818 00:43:06,760 --> 00:43:09,319 Speaker 1: has led to a massive decline in their popularity. You know, 819 00:43:09,400 --> 00:43:11,680 Speaker 1: right now they only have fifty three percent approval, which 820 00:43:11,719 --> 00:43:13,560 Speaker 1: is nuts considering is probably one of the most beloved 821 00:43:13,600 --> 00:43:16,720 Speaker 1: brands in modern American history. Then you also look at Apple, 822 00:43:16,760 --> 00:43:20,279 Speaker 1: which forced out my friend Antonio Garcia Martinez based upon 823 00:43:20,360 --> 00:43:22,399 Speaker 1: some things that he wrote in his book A Decade Ago, 824 00:43:22,560 --> 00:43:25,320 Speaker 1: of which Apple was aware of. It is my tiny 825 00:43:25,360 --> 00:43:28,080 Speaker 1: small percentage of Apple staffers who you know, called him 826 00:43:28,080 --> 00:43:30,880 Speaker 1: a misogynist. They fired him, and now they fired all 827 00:43:30,880 --> 00:43:33,880 Speaker 1: the people who went and organized that petition. And like 828 00:43:33,920 --> 00:43:37,680 Speaker 1: I said, it's always been a tiny little percentage of 829 00:43:37,719 --> 00:43:40,560 Speaker 1: these companies which have held them majority hostage. And I 830 00:43:40,560 --> 00:43:43,080 Speaker 1: think a lot of people i think maybe also this 831 00:43:43,120 --> 00:43:45,200 Speaker 1: has to do with a declining stock price. I'm curious 832 00:43:45,320 --> 00:43:47,480 Speaker 1: for your view, which is they don't have time to 833 00:43:47,520 --> 00:43:50,839 Speaker 1: screw around with this stuff anymore. They can't indulge people's feeling. 834 00:43:50,880 --> 00:43:53,239 Speaker 1: They're like, listen, we got to produce whatever we need 835 00:43:53,280 --> 00:43:55,799 Speaker 1: to produce in order to up the stock in order. 836 00:43:56,840 --> 00:44:01,160 Speaker 1: They're bleeding subscribers, they're canceling all these shows. Yeah, they're 837 00:44:01,200 --> 00:44:06,040 Speaker 1: considering an ad driven model instead of a subscription driven model. Yeah, 838 00:44:06,080 --> 00:44:09,200 Speaker 1: which does kind of suck. I mean, uh, listen, I 839 00:44:09,640 --> 00:44:13,040 Speaker 1: support the sentiment. What I would say, Uh, you know, 840 00:44:13,400 --> 00:44:17,319 Speaker 1: my own personal ideological view is I believe in democracy 841 00:44:17,320 --> 00:44:19,520 Speaker 1: in the workplace as well. And so I think to 842 00:44:19,560 --> 00:44:22,319 Speaker 1: your point, if you had, you know, workers with more 843 00:44:22,360 --> 00:44:24,360 Speaker 1: of a say in the runnings of these companies, you 844 00:44:24,360 --> 00:44:27,239 Speaker 1: would have a sort of internal process for handling these 845 00:44:27,239 --> 00:44:30,120 Speaker 1: disputes and handling these grievanceies, and so it wouldn't have 846 00:44:30,160 --> 00:44:32,279 Speaker 1: to come down as just like a fiat from un 847 00:44:32,360 --> 00:44:36,080 Speaker 1: high from some like CEO dictator. And that really struck 848 00:44:36,080 --> 00:44:39,600 Speaker 1: me when another part of the memo the newsletter reminded 849 00:44:39,680 --> 00:44:42,439 Speaker 1: laborers that the company does not intend to treat them 850 00:44:42,480 --> 00:44:46,600 Speaker 1: like family members, but rather like whyonhearted sportsmen on an 851 00:44:46,600 --> 00:44:50,280 Speaker 1: award winning athletic dream team, one on which any player 852 00:44:50,320 --> 00:44:53,080 Speaker 1: can easily be benched or booted. So basically just kind 853 00:44:53,120 --> 00:44:56,839 Speaker 1: of typical like using corporate spin to say we can 854 00:44:56,920 --> 00:45:00,000 Speaker 1: fire you at any time for any reason, which unfortunately 855 00:45:00,160 --> 00:45:02,360 Speaker 1: is the landscape. I think that's fair and I totally 856 00:45:02,640 --> 00:45:05,600 Speaker 1: obviously you know, on the side, right, but I do 857 00:45:05,760 --> 00:45:09,120 Speaker 1: think there is something to ending this family dynamic for 858 00:45:09,280 --> 00:45:11,560 Speaker 1: a lot of people at these major techno Well, this 859 00:45:11,640 --> 00:45:14,920 Speaker 1: can be kind of abusive as well. Yeah, because they're like, 860 00:45:14,960 --> 00:45:17,120 Speaker 1: you're our family, we eat dinner together, and by that 861 00:45:17,200 --> 00:45:18,759 Speaker 1: you better be at this office in order to have 862 00:45:18,800 --> 00:45:20,920 Speaker 1: dinner a right eight o'clock. That can be very That 863 00:45:20,960 --> 00:45:23,719 Speaker 1: can also be very manipulative because then it's like, and 864 00:45:23,760 --> 00:45:28,440 Speaker 1: you see this in the like the union busting rhetoric 865 00:45:28,600 --> 00:45:31,279 Speaker 1: that they'll use. You'll have a manager come in and 866 00:45:31,320 --> 00:45:33,080 Speaker 1: be like, oh, how could you do this to me? 867 00:45:33,280 --> 00:45:36,560 Speaker 1: I thought we were like family, Like how I treated you. 868 00:45:36,640 --> 00:45:40,279 Speaker 1: They'll use this sort of like guilt and emotional manipulation 869 00:45:40,840 --> 00:45:43,960 Speaker 1: to have you work ridiculous hours or do things that 870 00:45:44,040 --> 00:45:47,200 Speaker 1: make no sense whatsoever. So yeah, in general, I just 871 00:45:47,280 --> 00:45:49,719 Speaker 1: you know, I support workplace democracy and workers have to 872 00:45:49,719 --> 00:45:51,440 Speaker 1: say in the workplaces. And to your point, I think 873 00:45:51,440 --> 00:45:56,120 Speaker 1: if that happened this very uh, these very small fringe 874 00:45:56,360 --> 00:46:00,520 Speaker 1: viewpoints could be heard, which they you know, sure trying 875 00:46:00,560 --> 00:46:03,000 Speaker 1: for them to be heard, addressed and dealt with, and 876 00:46:03,040 --> 00:46:04,799 Speaker 1: I think it would be more clear that actually the 877 00:46:04,840 --> 00:46:08,319 Speaker 1: majority of workers don't feel the way that they do, 878 00:46:08,640 --> 00:46:10,359 Speaker 1: you know, but there should be a process for that. 879 00:46:10,520 --> 00:46:15,840 Speaker 1: I think that's right. Some dizzying comments here on Elon 880 00:46:15,960 --> 00:46:18,799 Speaker 1: Musk in terms of breaking news this morning. Here's what 881 00:46:18,840 --> 00:46:21,440 Speaker 1: we can report, which is that Elon says that he 882 00:46:21,560 --> 00:46:24,360 Speaker 1: will only proceed with his forty four billion dollar takeover 883 00:46:24,400 --> 00:46:28,000 Speaker 1: of Twitter if Twitter can prove that less than five 884 00:46:28,120 --> 00:46:30,920 Speaker 1: percent of its users are bots. So we explained a 885 00:46:30,960 --> 00:46:33,160 Speaker 1: little bit of this yesterday and let's put this up 886 00:46:33,160 --> 00:46:35,800 Speaker 1: there on the screen. There's a big spat between Elon 887 00:46:36,120 --> 00:46:39,880 Speaker 1: and Parag Agarwall. Parag put out a multi post thread 888 00:46:40,200 --> 00:46:45,839 Speaker 1: about determining spam bots and explaining his own proprietary methodology 889 00:46:45,840 --> 00:46:49,280 Speaker 1: to determine that five percent or so of the people 890 00:46:49,400 --> 00:46:52,480 Speaker 1: on Twitter are actually bots. Now, Elon replied to this 891 00:46:52,600 --> 00:46:55,960 Speaker 1: with a literal poop emoji in terms of shit posting, 892 00:46:56,200 --> 00:46:58,480 Speaker 1: and replied to this, which I think is the crux 893 00:46:58,480 --> 00:47:02,759 Speaker 1: of the matter. So, so, how do advertisers know what 894 00:47:02,800 --> 00:47:06,080 Speaker 1: they're getting for their money. This is fundamental to the 895 00:47:06,120 --> 00:47:10,400 Speaker 1: financial health of Twitter. Now here's why it matters. Elon 896 00:47:10,760 --> 00:47:13,600 Speaker 1: has very high revenue targets that he has to hit 897 00:47:13,719 --> 00:47:16,840 Speaker 1: per promised things to his investors, who have now promised 898 00:47:16,920 --> 00:47:19,760 Speaker 1: him tens of billions of dollars in his potential takeover 899 00:47:20,080 --> 00:47:23,360 Speaker 1: of the company. Now we're in the closing due diligence 900 00:47:23,400 --> 00:47:26,359 Speaker 1: phase where they're going through the books and Elon is like, Okay, 901 00:47:26,480 --> 00:47:29,160 Speaker 1: let's see if there actually is five percent or whatever 902 00:47:29,239 --> 00:47:32,399 Speaker 1: of the users that are bots. Now you can also 903 00:47:32,440 --> 00:47:34,759 Speaker 1: couple with that with the fact that Tesla stock is 904 00:47:34,800 --> 00:47:38,480 Speaker 1: down some twenty percent in the last month. I believe 905 00:47:38,840 --> 00:47:42,520 Speaker 1: that Tesla stock is the predominance of Elon's wealth and 906 00:47:42,640 --> 00:47:46,640 Speaker 1: also what he was borrowing against whenever it came to 907 00:47:47,080 --> 00:47:49,080 Speaker 1: the money that he was going to use in order 908 00:47:49,160 --> 00:47:52,359 Speaker 1: to finance this entire deal. Also, all of his other 909 00:47:52,400 --> 00:47:55,200 Speaker 1: investors are also venture capitalists and rich people who will 910 00:47:55,160 --> 00:47:58,480 Speaker 1: also rely on a complex margin lending system in order 911 00:47:58,520 --> 00:48:01,360 Speaker 1: to access a lot of this capital. Now here's the 912 00:48:01,400 --> 00:48:05,399 Speaker 1: other thing. Elon gave an interview yesterday to the All 913 00:48:05,480 --> 00:48:08,640 Speaker 1: In podcast. Let's put this up there on the screen. Now, 914 00:48:08,640 --> 00:48:11,000 Speaker 1: here's what he was talking about. He says, the more 915 00:48:11,080 --> 00:48:14,239 Speaker 1: questions I ask, the more my concerns grow. Could it 916 00:48:14,360 --> 00:48:18,960 Speaker 1: be done at a lower price? Maybe, He continues, I 917 00:48:19,120 --> 00:48:22,840 Speaker 1: was relying on public filings. So the reason that this 918 00:48:22,960 --> 00:48:26,200 Speaker 1: matters is that he is saying and essentially accusing Twitter 919 00:48:26,480 --> 00:48:29,280 Speaker 1: publicly of lying to him about the number of bots 920 00:48:29,320 --> 00:48:31,719 Speaker 1: that are on the platform and lying to that and 921 00:48:31,800 --> 00:48:35,360 Speaker 1: lying to the SEC, lying to investors, lying to the world. 922 00:48:35,400 --> 00:48:37,759 Speaker 1: Which I mean, I believe that. I certainly believe that 923 00:48:37,760 --> 00:48:40,799 Speaker 1: that's possible or right. Here's the thing about these fake statistics. 924 00:48:40,920 --> 00:48:44,080 Speaker 1: They can Parag's thread was, you know, creating this complex 925 00:48:44,360 --> 00:48:48,280 Speaker 1: methodology and just conveniently arrives around five percent. I'm like, listen, 926 00:48:48,320 --> 00:48:50,560 Speaker 1: you know the way and how you define a bot, 927 00:48:50,680 --> 00:48:53,480 Speaker 1: you know, in terms of the posting schedule, etc. I'm 928 00:48:53,480 --> 00:48:55,600 Speaker 1: sure could inflate it whichever way you want. Well, he 929 00:48:55,719 --> 00:48:59,120 Speaker 1: also was trying to because Elon had said I'm going 930 00:48:59,200 --> 00:49:01,440 Speaker 1: to do We're going to say, one hundred random accounts, 931 00:49:01,440 --> 00:49:03,480 Speaker 1: and we're going to test it to see other bots, 932 00:49:03,480 --> 00:49:05,600 Speaker 1: and you guys should do the same, and so the 933 00:49:05,680 --> 00:49:07,799 Speaker 1: other thing Prague was trying to do is say you 934 00:49:07,840 --> 00:49:10,120 Speaker 1: can't do it. Which is publicly available data. You got 935 00:49:10,160 --> 00:49:12,560 Speaker 1: to have what we have on the back end, because 936 00:49:12,600 --> 00:49:14,759 Speaker 1: you may see an account that looks like it's like 937 00:49:14,800 --> 00:49:16,719 Speaker 1: a first name and a string of numbers, and it 938 00:49:16,760 --> 00:49:18,799 Speaker 1: looks like and they've got weird tweets, and it looks 939 00:49:18,800 --> 00:49:21,080 Speaker 1: like a bot. But when we look on the back end, 940 00:49:21,080 --> 00:49:23,600 Speaker 1: there's good reason to believe that it's actually a real person. Right, 941 00:49:23,640 --> 00:49:26,440 Speaker 1: So look, I have no idea. All right, The point 942 00:49:26,520 --> 00:49:29,000 Speaker 1: is is that is this about bots or is this 943 00:49:29,080 --> 00:49:32,320 Speaker 1: about negotiation? Obviously I'm willing to bet a lot of 944 00:49:32,360 --> 00:49:35,000 Speaker 1: this is about negotiation. Let's put this up there on 945 00:49:35,040 --> 00:49:37,480 Speaker 1: the screen from my friend Alex cantost. He says the 946 00:49:37,560 --> 00:49:40,640 Speaker 1: Musk negotiation playbook, make offer, agreed to deal, wait for 947 00:49:40,719 --> 00:49:44,000 Speaker 1: market softness, devalue the asset via public disparassment, pay half, 948 00:49:44,239 --> 00:49:47,799 Speaker 1: and guess what it's working. Twitter stock is significantly down 949 00:49:48,160 --> 00:49:51,000 Speaker 1: in the process. And just looking at the transcript of 950 00:49:51,080 --> 00:49:54,400 Speaker 1: the All In podcast, it's very interesting because Elon says, 951 00:49:54,560 --> 00:49:56,920 Speaker 1: I'm still waiting for some sort of logical explanation for 952 00:49:56,960 --> 00:49:59,240 Speaker 1: the number of fake or spam accounts on Twitter. Twitter 953 00:49:59,320 --> 00:50:02,000 Speaker 1: is refusing to tell us. So this just seems like 954 00:50:02,040 --> 00:50:05,719 Speaker 1: a strange thing. Jason Kalkanis asked him specifically. They say 955 00:50:05,760 --> 00:50:07,880 Speaker 1: Elon that life is a negotiation, so at a different 956 00:50:07,880 --> 00:50:10,840 Speaker 1: price it might be totally viable deal. Correct, Elon, it 957 00:50:10,920 --> 00:50:13,520 Speaker 1: is not out of the question. But the more questions 958 00:50:13,560 --> 00:50:16,000 Speaker 1: I ask, the more my concerns are growing. At the 959 00:50:16,080 --> 00:50:17,759 Speaker 1: end of the day, it has to be fixable within 960 00:50:17,800 --> 00:50:21,000 Speaker 1: a reasonable timeframe, without revenues collapsing along the way and 961 00:50:21,040 --> 00:50:23,040 Speaker 1: all of that stuff. I really need to see how 962 00:50:23,040 --> 00:50:25,520 Speaker 1: these things are being calculated. It can't be some deep 963 00:50:25,560 --> 00:50:27,960 Speaker 1: mystery that is more complex than the human soul. I 964 00:50:27,960 --> 00:50:30,120 Speaker 1: think we can apply the scientific method and try to 965 00:50:30,160 --> 00:50:32,600 Speaker 1: figure out what's really going on. So I think that 966 00:50:32,719 --> 00:50:35,040 Speaker 1: in the context of the market crash, it makes a 967 00:50:35,040 --> 00:50:36,600 Speaker 1: hell of a lot of sense in order to use 968 00:50:36,840 --> 00:50:39,000 Speaker 1: whatever leverage that you can in order to close this 969 00:50:39,080 --> 00:50:41,560 Speaker 1: deal at a much lower price. Elon not only has 970 00:50:41,640 --> 00:50:44,360 Speaker 1: less capital available to him compared to how much he 971 00:50:44,440 --> 00:50:46,680 Speaker 1: was worth just a month ago, but Twitter stock is 972 00:50:46,680 --> 00:50:49,719 Speaker 1: also down significantly as well. And here's the other thing, 973 00:50:49,840 --> 00:50:52,800 Speaker 1: what are these people gonna do now? I said yesterday 974 00:50:52,800 --> 00:50:56,360 Speaker 1: about the breakup fee, there's some interesting analysis. Stolar actually 975 00:50:56,360 --> 00:50:58,719 Speaker 1: sent me a message this morning, which is that the 976 00:50:59,040 --> 00:51:01,520 Speaker 1: musk is, it's not as only problem he actually has 977 00:51:01,560 --> 00:51:03,920 Speaker 1: to pay that only if the financing falls through or 978 00:51:03,960 --> 00:51:07,400 Speaker 1: if regulators block the deal. But if he voluntarily walks away, 979 00:51:07,680 --> 00:51:10,840 Speaker 1: he is actually theoretically on the hook for all forty 980 00:51:10,840 --> 00:51:14,360 Speaker 1: four billion and can be soon in a Delaware chancery court. 981 00:51:14,480 --> 00:51:17,320 Speaker 1: That was the same analysis given, Well, probably not, though 982 00:51:17,400 --> 00:51:21,640 Speaker 1: if he can credibly argue that they were they lied 983 00:51:21,640 --> 00:51:24,880 Speaker 1: in their public filings that he was facing his decision 984 00:51:24,880 --> 00:51:27,720 Speaker 1: making on right right. Here's the thing. Look, we're not lawyers, 985 00:51:27,760 --> 00:51:29,680 Speaker 1: We have no idea, and I bet you can contest 986 00:51:29,680 --> 00:51:31,760 Speaker 1: this case all the way to the bank for billions 987 00:51:31,760 --> 00:51:33,919 Speaker 1: and billions of dollars on both sides and legal Yeah, 988 00:51:34,000 --> 00:51:36,800 Speaker 1: So my guess would be that this is some sort 989 00:51:37,080 --> 00:51:40,640 Speaker 1: of negotiating contract. Ben Thompson also had a newsletter out 990 00:51:40,640 --> 00:51:43,040 Speaker 1: this morning from Stir Treachery. He says the contract gives 991 00:51:43,040 --> 00:51:45,600 Speaker 1: Twitter the right to force Elon to close the deal 992 00:51:45,800 --> 00:51:48,080 Speaker 1: and to put up twenty seven point five billion dollars 993 00:51:48,120 --> 00:51:50,680 Speaker 1: of equity that he personally committed as long as his 994 00:51:50,760 --> 00:51:53,560 Speaker 1: debt financing is available. So it does seem that Twitter 995 00:51:53,880 --> 00:51:56,359 Speaker 1: has some leverage on their side. I would put this 996 00:51:56,400 --> 00:51:58,680 Speaker 1: in the terms of the Musk playbook in terms of 997 00:51:58,680 --> 00:52:02,959 Speaker 1: publicly leveraging his immense popularity, brand and megaphone in order 998 00:52:03,000 --> 00:52:06,480 Speaker 1: to hammer the stock price and try and negotiate on 999 00:52:06,520 --> 00:52:09,160 Speaker 1: the outside in order to bring the price down maybe 1000 00:52:09,200 --> 00:52:11,479 Speaker 1: you know, by a couple billion dollars or maybe even 1001 00:52:11,520 --> 00:52:14,600 Speaker 1: more significantly than that, especially if he can prove some 1002 00:52:14,640 --> 00:52:17,239 Speaker 1: sort of lie in the SEC filings which would then 1003 00:52:17,280 --> 00:52:20,520 Speaker 1: make them legally viable and bring that all the way down. 1004 00:52:20,680 --> 00:52:22,319 Speaker 1: All of this is really just a long way of 1005 00:52:22,360 --> 00:52:25,799 Speaker 1: saying that there's a complicated there's complicated stuff going on. 1006 00:52:26,200 --> 00:52:29,840 Speaker 1: And one thing to look past is this that producer 1007 00:52:29,920 --> 00:52:31,560 Speaker 1: James found will put this up there on the screen, 1008 00:52:31,880 --> 00:52:35,040 Speaker 1: which is that a long time Elon Musk backer says 1009 00:52:35,040 --> 00:52:37,720 Speaker 1: that the Twitter deal will close at a lower price. 1010 00:52:37,840 --> 00:52:41,359 Speaker 1: I had so impressive eyebrows exactly. Yea, he really does. So. 1011 00:52:41,480 --> 00:52:43,799 Speaker 1: This is Tim Draper. He's an early investor in both 1012 00:52:43,800 --> 00:52:46,720 Speaker 1: Tesla and Spasics, and he co founded a venture capital 1013 00:52:46,760 --> 00:52:49,920 Speaker 1: firm that's actually sinking one hundred million dollars into the bid. 1014 00:52:50,120 --> 00:52:52,200 Speaker 1: Here's what he said when he was asked about whether 1015 00:52:52,200 --> 00:52:54,719 Speaker 1: the Twitter deal will close at a lower price. He says, 1016 00:52:54,760 --> 00:52:56,400 Speaker 1: I think so. I think he's going to get a 1017 00:52:56,400 --> 00:52:59,160 Speaker 1: better deal because he found out whatever two thirds of 1018 00:52:59,239 --> 00:53:02,239 Speaker 1: users are bought or something. So this is somebody who 1019 00:53:02,400 --> 00:53:05,120 Speaker 1: is committing equity to the deal. We don't necessarily know 1020 00:53:05,360 --> 00:53:07,239 Speaker 1: how much he has, but at the very least is 1021 00:53:07,239 --> 00:53:09,640 Speaker 1: somebody who has owned money on the line who's backing 1022 00:53:09,640 --> 00:53:12,399 Speaker 1: Elon's venture here, and all of this should be viewed 1023 00:53:12,600 --> 00:53:15,160 Speaker 1: within that context. I got to say, this is probably 1024 00:53:15,160 --> 00:53:17,880 Speaker 1: the most exciting like corporate takeover story that we've seen 1025 00:53:17,920 --> 00:53:21,080 Speaker 1: and like since the eighties in terms of all the 1026 00:53:21,440 --> 00:53:23,799 Speaker 1: dramatic what's going on. It's very dramatic. I mean, I 1027 00:53:23,800 --> 00:53:25,880 Speaker 1: think it's I don't think it's right that you should 1028 00:53:25,880 --> 00:53:27,760 Speaker 1: be able to and this. He's done this in the past, 1029 00:53:27,840 --> 00:53:32,080 Speaker 1: like manipulate markets with his statements, especially intentionally. I mean, 1030 00:53:32,080 --> 00:53:34,000 Speaker 1: this is what he's been accused of and actually had 1031 00:53:34,040 --> 00:53:36,840 Speaker 1: like a consent degree with the SEC about before. So 1032 00:53:37,320 --> 00:53:39,600 Speaker 1: it is a pattern of behavior that I think is 1033 00:53:39,800 --> 00:53:41,560 Speaker 1: sort of gross. I mean, he did this even with 1034 00:53:41,600 --> 00:53:44,520 Speaker 1: the initial announcement where he didn't where we learned that 1035 00:53:44,640 --> 00:53:48,520 Speaker 1: he was five percent stakeholder or whatever it was, Yeah, 1036 00:53:48,560 --> 00:53:51,920 Speaker 1: and he wasn't didn't file that disclosure with the SEC, 1037 00:53:52,040 --> 00:53:54,799 Speaker 1: and was able to profit off of that delay and 1038 00:53:54,840 --> 00:53:58,160 Speaker 1: failure to file in time, with his public comments again 1039 00:53:58,280 --> 00:54:01,239 Speaker 1: benefiting him. Listen, I have no idea what this dude's 1040 00:54:01,280 --> 00:54:03,719 Speaker 1: intent is. I definitely don't take him as word. There's 1041 00:54:03,760 --> 00:54:05,760 Speaker 1: no way that the real problem here is the percent 1042 00:54:05,800 --> 00:54:08,440 Speaker 1: of bots on the platform. And you know this because 1043 00:54:08,760 --> 00:54:11,840 Speaker 1: he's not even planning on using advertising revenue as the 1044 00:54:11,840 --> 00:54:15,680 Speaker 1: primary source of revenue moving forward. His plan, which many 1045 00:54:15,680 --> 00:54:18,880 Speaker 1: analysts have said is not feasible and is unrealistic, is 1046 00:54:18,880 --> 00:54:20,759 Speaker 1: to get way more users on the platform and then 1047 00:54:20,840 --> 00:54:23,880 Speaker 1: charge a subscription fee for a certain percent of those users, 1048 00:54:24,080 --> 00:54:25,920 Speaker 1: which you know, that piece of it, to me, is 1049 00:54:25,920 --> 00:54:28,120 Speaker 1: not a bad direction to go in whatsoever. I think 1050 00:54:28,160 --> 00:54:31,320 Speaker 1: it would be a lot better if our social media networks, 1051 00:54:31,360 --> 00:54:34,320 Speaker 1: especially the ones critical to free speech, were more dependent 1052 00:54:34,440 --> 00:54:37,600 Speaker 1: on treating you as the customer versus these, you know, 1053 00:54:37,800 --> 00:54:40,759 Speaker 1: advertisers and the sort of incentives that comes with just 1054 00:54:41,160 --> 00:54:44,440 Speaker 1: generating eyeballs for advertisers. So I don't mind that direction, 1055 00:54:44,840 --> 00:54:47,520 Speaker 1: but it just shows you that, you know, his business 1056 00:54:47,520 --> 00:54:50,440 Speaker 1: plan is not particularly dependent on whether he can jack 1057 00:54:50,520 --> 00:54:53,560 Speaker 1: up the price with advertisers or not. So ultimately, this 1058 00:54:53,719 --> 00:54:56,880 Speaker 1: is either a headfake to you know, push a better 1059 00:54:56,920 --> 00:54:59,160 Speaker 1: negotiating position, try to get a better deal now that 1060 00:54:59,200 --> 00:55:01,279 Speaker 1: Twitter stock is way down and now that his net 1061 00:55:01,400 --> 00:55:05,640 Speaker 1: value is way less. Or it could be also ultimately, 1062 00:55:05,680 --> 00:55:08,560 Speaker 1: if he can prove that they have way more bots 1063 00:55:08,600 --> 00:55:11,239 Speaker 1: on the network than they were claiming, it could be 1064 00:55:11,280 --> 00:55:13,440 Speaker 1: an excuse to totally walk away from the thing and say, 1065 00:55:13,480 --> 00:55:15,839 Speaker 1: you know what, this is not feasible. Ultimately, Yeah, I 1066 00:55:15,920 --> 00:55:18,400 Speaker 1: really have no idea. I have no idea either. I 1067 00:55:18,520 --> 00:55:20,680 Speaker 1: do think that Twitter might be lying here, though, I 1068 00:55:20,719 --> 00:55:23,879 Speaker 1: mean just in terms not Okay. When I say lying misrepresented, 1069 00:55:24,120 --> 00:55:26,560 Speaker 1: I mean that they're method I don't know that at all. 1070 00:55:26,600 --> 00:55:28,160 Speaker 1: But I also don't think that's a really Oh I 1071 00:55:28,160 --> 00:55:29,800 Speaker 1: don't think it's a real answer either. I'm also not 1072 00:55:29,840 --> 00:55:31,520 Speaker 1: going to shed a tear for any of these investors 1073 00:55:31,560 --> 00:55:34,920 Speaker 1: on either side of the other. So anyway, Okay, you 1074 00:55:34,920 --> 00:55:37,800 Speaker 1: guys updated, we spoke about that landmark UFO hearing and 1075 00:55:37,880 --> 00:55:41,080 Speaker 1: joining us now. UFO Expert journalist in his own right 1076 00:55:41,280 --> 00:55:44,960 Speaker 1: is Jeremy Corbel. He's also a great documentarian and a friend. Jeremy, 1077 00:55:45,040 --> 00:55:46,560 Speaker 1: welcome back to the show. It's good to see you, 1078 00:55:46,600 --> 00:55:50,520 Speaker 1: my friend, really good to see you. Saga. Okay, Jeremy, 1079 00:55:50,560 --> 00:55:53,440 Speaker 1: So you have been through the new footage from the 1080 00:55:53,560 --> 00:55:56,960 Speaker 1: UFO hearing. Now let's dissect everything that we have first 1081 00:55:57,000 --> 00:56:00,759 Speaker 1: described to us exactly what we learned that is from 1082 00:56:00,760 --> 00:56:04,640 Speaker 1: the hearing. So far right, Okay, So everybody needs to 1083 00:56:04,719 --> 00:56:08,320 Speaker 1: understand that this is just the beginning. This is a benchmark. 1084 00:56:08,680 --> 00:56:11,680 Speaker 1: This is a moment in history that we haven't had 1085 00:56:11,719 --> 00:56:15,360 Speaker 1: in over fifty years. They brought two people forward top 1086 00:56:15,400 --> 00:56:18,080 Speaker 1: brass of our military, and to be honest with you, 1087 00:56:18,080 --> 00:56:20,400 Speaker 1: you know they've jumped into this recently too. Now they 1088 00:56:20,400 --> 00:56:23,240 Speaker 1: are in a position to know. But remember the UFO 1089 00:56:23,400 --> 00:56:28,840 Speaker 1: programs are often protected by special Access Access of Program protection. 1090 00:56:29,320 --> 00:56:32,680 Speaker 1: This is why Senator read was trying to get SAP 1091 00:56:32,840 --> 00:56:37,640 Speaker 1: status for the true UFO program that was called AWSAP 1092 00:56:37,760 --> 00:56:42,760 Speaker 1: Advanced Aerospace Weapons Systems Applications Program. So they don't know everything, 1093 00:56:42,800 --> 00:56:45,520 Speaker 1: but they're going to go into a closed congressional briefing. 1094 00:56:45,840 --> 00:56:48,080 Speaker 1: I do you know where they can talk about class 1095 00:56:48,120 --> 00:56:52,200 Speaker 1: that information. I do know though, for sure, that this 1096 00:56:52,320 --> 00:56:55,239 Speaker 1: is just the start. There are other people that are 1097 00:56:55,239 --> 00:56:58,520 Speaker 1: going to be testifying on record. So what we saw 1098 00:56:58,760 --> 00:57:02,600 Speaker 1: was we saw some new foot of a UFO that 1099 00:57:02,800 --> 00:57:05,920 Speaker 1: shoots by a fighter plane but the thing is is 1100 00:57:06,000 --> 00:57:08,600 Speaker 1: one piece of evidence is nothing. They're just bringing the 1101 00:57:08,640 --> 00:57:11,640 Speaker 1: public up to date with what's going on. They had 1102 00:57:11,680 --> 00:57:13,759 Speaker 1: problems when they're trying to slow down and like click 1103 00:57:13,800 --> 00:57:15,440 Speaker 1: it to show to people is really funny. They need 1104 00:57:15,480 --> 00:57:19,840 Speaker 1: a tech person. But ultimately they asked good questions. They said, 1105 00:57:20,000 --> 00:57:22,280 Speaker 1: have we ever fired on a UFO? Do we have 1106 00:57:22,400 --> 00:57:26,360 Speaker 1: exploitation programs? Using a different word, And of course, look 1107 00:57:26,400 --> 00:57:29,720 Speaker 1: there were lies on vuscation, you know, and some things 1108 00:57:29,720 --> 00:57:32,640 Speaker 1: they just don't know, but what that's what we expected. 1109 00:57:32,720 --> 00:57:36,320 Speaker 1: But the big thing here, and Representative Carson talked about 1110 00:57:36,320 --> 00:57:39,200 Speaker 1: this was that you know, and he pushed the witnesses. 1111 00:57:39,560 --> 00:57:43,000 Speaker 1: The idea is to reduce stigma, so people like me 1112 00:57:43,080 --> 00:57:45,400 Speaker 1: are unnecessary. The only reason they mentioned me in the 1113 00:57:45,400 --> 00:57:48,920 Speaker 1: hearing is because I'm getting footage from our military that 1114 00:57:49,000 --> 00:57:50,880 Speaker 1: should have gone up the chain of command without people 1115 00:57:50,880 --> 00:57:52,880 Speaker 1: having to leak it to me. So I hope they 1116 00:57:53,040 --> 00:57:56,520 Speaker 1: fixed this broken chain so that we can really get 1117 00:57:56,560 --> 00:57:58,760 Speaker 1: to the bottom of this UFO mystery. I think that's 1118 00:57:58,800 --> 00:58:01,400 Speaker 1: the most important takeaway from me as well, which is 1119 00:58:01,520 --> 00:58:04,760 Speaker 1: just really making the normalization in the military culture in 1120 00:58:04,840 --> 00:58:06,320 Speaker 1: order to for it to bubble up so that we 1121 00:58:06,360 --> 00:58:09,200 Speaker 1: don't have to keep seeing leaked audio. I talked to 1122 00:58:09,240 --> 00:58:11,480 Speaker 1: a guy. Here's what he said. You know, oh, but 1123 00:58:11,600 --> 00:58:15,120 Speaker 1: you know, whispers and all of this. I heard probably 1124 00:58:15,120 --> 00:58:17,040 Speaker 1: a fraction of it, but still hear some of it 1125 00:58:17,280 --> 00:58:19,560 Speaker 1: from people as well. Jeremy talk to us about those 1126 00:58:19,600 --> 00:58:22,440 Speaker 1: lies in obfuscations because this is important in terms of 1127 00:58:22,520 --> 00:58:26,040 Speaker 1: claims around past videos. What were some of the lies 1128 00:58:26,080 --> 00:58:30,160 Speaker 1: in the obfuscations that they told us? Right, So, one 1129 00:58:30,160 --> 00:58:32,720 Speaker 1: of the things is they really focused on what looks 1130 00:58:32,760 --> 00:58:37,240 Speaker 1: like the green triangular by angle of observation footage that 1131 00:58:37,320 --> 00:58:39,520 Speaker 1: was shot off the coast of twenty nineteen off the 1132 00:58:39,640 --> 00:58:42,640 Speaker 1: USS Russel, and I obtained and released that they were 1133 00:58:42,680 --> 00:58:45,240 Speaker 1: playing out like the whole time. And it was really 1134 00:58:45,240 --> 00:58:49,320 Speaker 1: interesting because this was contained within their own classified documents 1135 00:58:49,320 --> 00:58:51,439 Speaker 1: that I inside of it was able to get out 1136 00:58:51,480 --> 00:58:55,120 Speaker 1: as unclassified, and then the videos were I obtained and 1137 00:58:55,200 --> 00:58:58,320 Speaker 1: released the videos. Now they were talking about how it 1138 00:58:58,400 --> 00:59:01,520 Speaker 1: looks like a triangle and that's because of the camera 1139 00:59:01,560 --> 00:59:04,080 Speaker 1: and how it put together. They were inches away from 1140 00:59:04,160 --> 00:59:07,640 Speaker 1: saying the lie that it was like just an effect 1141 00:59:07,680 --> 00:59:10,720 Speaker 1: of optics. But was what was really interesting because he 1142 00:59:10,800 --> 00:59:14,000 Speaker 1: really danced around the world the words about it was 1143 00:59:14,040 --> 00:59:18,640 Speaker 1: that he was saying that it looks and appears triangular. 1144 00:59:19,040 --> 00:59:21,760 Speaker 1: But what he didn't say is that all of the 1145 00:59:21,800 --> 00:59:25,680 Speaker 1: classified briefings, because there are other optics systems rather than 1146 00:59:25,760 --> 00:59:30,000 Speaker 1: just being shot through the night vision, these were non eerodynamic. 1147 00:59:30,080 --> 00:59:34,760 Speaker 1: They were indeed described in all CAUSFID briefings as pyramid 1148 00:59:35,040 --> 00:59:39,200 Speaker 1: in shape. So they were just dancing around a few issues. 1149 00:59:39,320 --> 00:59:41,200 Speaker 1: But that's okay, We're going to crack it open and 1150 00:59:41,240 --> 00:59:44,320 Speaker 1: make sure I have more to release. That's great, and 1151 00:59:44,320 --> 00:59:46,680 Speaker 1: you always heal hold their feet to the fire. Any 1152 00:59:46,720 --> 00:59:50,440 Speaker 1: other information Just for the layman person out there, they're interested, 1153 00:59:50,600 --> 00:59:53,120 Speaker 1: you know, you and I are really excited and all this. 1154 00:59:53,280 --> 00:59:57,439 Speaker 1: But somebody's out there, what are their main takeaways from 1155 00:59:57,440 --> 00:59:59,920 Speaker 1: this hearing other than the fact that there will be 1156 01:00:00,320 --> 01:00:03,800 Speaker 1: more transparency like with this video or any confirmations around 1157 01:00:03,840 --> 01:00:07,920 Speaker 1: the report that maybe they could take away from this. Well, yeah, 1158 01:00:07,920 --> 01:00:09,840 Speaker 1: I think the biggest thing you can take away from 1159 01:00:09,840 --> 01:00:13,680 Speaker 1: this is that Congress is actually doing its job and 1160 01:00:13,760 --> 01:00:18,520 Speaker 1: it is holding the intelligence communities and the individuals in 1161 01:00:18,600 --> 01:00:22,680 Speaker 1: position to either be aware or they should be aware. 1162 01:00:23,000 --> 01:00:24,720 Speaker 1: I mean, these are the people supposed to be studying this. 1163 01:00:25,240 --> 01:00:29,720 Speaker 1: Of what programs do we have to exploit these technologies, 1164 01:00:29,800 --> 01:00:32,880 Speaker 1: to study it, to manage what they called signal management. 1165 01:00:33,280 --> 01:00:36,640 Speaker 1: You know, what is our defense capability when something is 1166 01:00:36,680 --> 01:00:40,880 Speaker 1: in our restricted airspace. The takeaway is that now the 1167 01:00:40,960 --> 01:00:44,600 Speaker 1: public's voice has been heard and they are having their 1168 01:00:44,640 --> 01:00:47,920 Speaker 1: feet held to the fire. And this is a great 1169 01:00:48,000 --> 01:00:50,280 Speaker 1: first step. It is a first step, but it is 1170 01:00:50,320 --> 01:00:53,240 Speaker 1: a great first step. So what people can expect now 1171 01:00:53,880 --> 01:00:58,080 Speaker 1: is just a resounding response of enthusiasm from the public, 1172 01:00:58,440 --> 01:01:00,800 Speaker 1: and this is what's going to push the topic forward. 1173 01:01:00,960 --> 01:01:04,720 Speaker 1: There is so much to learn about the UFO phenomenon, 1174 01:01:04,800 --> 01:01:09,200 Speaker 1: the mystery of UFOs. We know maybe one percent of 1175 01:01:09,240 --> 01:01:12,479 Speaker 1: what UFOs represent to humanity, but we already got more 1176 01:01:12,600 --> 01:01:15,920 Speaker 1: information today than we had yesterday, and every day human 1177 01:01:15,960 --> 01:01:19,160 Speaker 1: knowledge is increasing on this issue. In UFOs have been 1178 01:01:19,200 --> 01:01:21,680 Speaker 1: with us since the beginning of recorded human history that 1179 01:01:21,880 --> 01:01:24,600 Speaker 1: we are aware of. So it's an exciting time. Man. 1180 01:01:24,640 --> 01:01:26,440 Speaker 1: You know I love this topic and you know I 1181 01:01:26,480 --> 01:01:27,960 Speaker 1: love it too. Man, You're the one who got me 1182 01:01:28,000 --> 01:01:30,120 Speaker 1: into it. So I really appreciate you joining us. We're 1183 01:01:30,360 --> 01:01:32,880 Speaker 1: going to keep listening to you. We'll stay in contact 1184 01:01:32,920 --> 01:01:35,160 Speaker 1: in terms of some of the new information, and I 1185 01:01:35,160 --> 01:01:37,000 Speaker 1: do want to thank you on behalf of everybody in 1186 01:01:37,000 --> 01:01:38,640 Speaker 1: the community, because I don't think that any of this 1187 01:01:38,680 --> 01:01:40,840 Speaker 1: would be happening without your work. Thank you much for 1188 01:01:41,160 --> 01:01:44,040 Speaker 1: joining us, sir. I appreciate it very much. I want 1189 01:01:44,040 --> 01:01:45,800 Speaker 1: to thank you, and I want to thank UFO, Twitter 1190 01:01:45,800 --> 01:01:48,520 Speaker 1: and everybody that really pushed for this. So I appreciate it, brother, 1191 01:01:48,560 --> 01:01:51,000 Speaker 1: and I'll talk about to some of them. Absolutely very 1192 01:01:51,040 --> 01:01:53,800 Speaker 1: excited to introduce our next guest. It's John burn Thal. 1193 01:01:53,840 --> 01:01:55,880 Speaker 1: He's the host of a new podcast. You know. It's 1194 01:01:55,920 --> 01:01:59,000 Speaker 1: funny John. I sometimes I find out that celebrities watch 1195 01:01:59,040 --> 01:02:02,240 Speaker 1: the show. Usually I'm like, yeah, whatever, but with you, 1196 01:02:02,280 --> 01:02:06,280 Speaker 1: I was like, holy shit, I'm like, that's John Burnhal. Anyway, 1197 01:02:06,720 --> 01:02:09,360 Speaker 1: I know you've got a new podcast out, The Real Ones. 1198 01:02:09,400 --> 01:02:12,120 Speaker 1: I actually took a listen to your episode on Russia, 1199 01:02:12,120 --> 01:02:13,280 Speaker 1: which is part of the reason I actually wanted to 1200 01:02:13,320 --> 01:02:16,280 Speaker 1: talk to you. You actually have some interesting things to say, 1201 01:02:16,320 --> 01:02:18,200 Speaker 1: So welcome to the show and tell us a little 1202 01:02:18,200 --> 01:02:22,320 Speaker 1: bit about your podcast. Thanks so much, man, I am 1203 01:02:22,440 --> 01:02:26,640 Speaker 1: I'm I'm an enormous fan. Uh and I'm so deeply 1204 01:02:26,680 --> 01:02:31,280 Speaker 1: appreciative of of what you guys are doing and and 1205 01:02:31,280 --> 01:02:34,200 Speaker 1: and I think you know and at an age right 1206 01:02:34,240 --> 01:02:37,760 Speaker 1: now where it's just so hard to get sort of 1207 01:02:38,320 --> 01:02:42,440 Speaker 1: unfiltered and and and real and honest. Uh and and 1208 01:02:42,960 --> 01:02:46,560 Speaker 1: you know, just sort of fair information, uh, delivered by 1209 01:02:46,600 --> 01:02:51,800 Speaker 1: folks that that you know, really, I just I really 1210 01:02:51,800 --> 01:02:54,320 Speaker 1: feel like I trust you guys, and and I love 1211 01:02:54,360 --> 01:02:56,280 Speaker 1: getting my news from you guys. I love your h 1212 01:02:56,600 --> 01:02:58,680 Speaker 1: your opinions, and the discourse that you have on the show. 1213 01:02:58,680 --> 01:03:02,400 Speaker 1: So I'm really grateful. Look, I think for for my show. 1214 01:03:02,920 --> 01:03:06,200 Speaker 1: Uh Similarly, look, I I have no place, I have 1215 01:03:06,360 --> 01:03:09,560 Speaker 1: no place sort of in you know, exploring the key 1216 01:03:09,600 --> 01:03:12,360 Speaker 1: issues of the day. I wear makeup and say lines 1217 01:03:12,360 --> 01:03:14,919 Speaker 1: for a living. And I think the last thing sort 1218 01:03:14,920 --> 01:03:17,040 Speaker 1: of what you alluded to is another celebrity kind of 1219 01:03:17,080 --> 01:03:20,400 Speaker 1: spouting off and pontificating on the major issues of the day. 1220 01:03:20,880 --> 01:03:23,520 Speaker 1: You know, our job is really to tell stories. That 1221 01:03:23,640 --> 01:03:27,600 Speaker 1: being said, I've been so enormously frustrated with just the 1222 01:03:27,680 --> 01:03:30,840 Speaker 1: discourse in this country right now, and and you know, 1223 01:03:30,920 --> 01:03:32,960 Speaker 1: not just in the media, but but kind of all 1224 01:03:33,000 --> 01:03:37,120 Speaker 1: over And I think unfortunately so much of you know, 1225 01:03:37,160 --> 01:03:39,240 Speaker 1: what we're listening and what we're watching is sort of 1226 01:03:39,240 --> 01:03:44,600 Speaker 1: this agenda based uh, you know, sort of flag waving, 1227 01:03:44,680 --> 01:03:47,800 Speaker 1: this this bombbass and this rhetoric and people just sort 1228 01:03:47,840 --> 01:03:51,760 Speaker 1: of trying to get people to join their side. And 1229 01:03:52,560 --> 01:03:54,760 Speaker 1: you know, for me, I I I can't really imagine 1230 01:03:54,760 --> 01:03:59,960 Speaker 1: anything less American. I think that you know, to be patriarch, 1231 01:04:00,120 --> 01:04:02,960 Speaker 1: it going to be strong, is really about compromise. It's 1232 01:04:03,000 --> 01:04:06,600 Speaker 1: really about being secure enough in your positions to open 1233 01:04:06,680 --> 01:04:08,880 Speaker 1: up yourself to people that think differently than you, people 1234 01:04:08,880 --> 01:04:11,680 Speaker 1: that were raised differently than you, people have different backgrounds 1235 01:04:11,680 --> 01:04:15,360 Speaker 1: from you, political backgrounds, racial background, sexual orientations. It's what 1236 01:04:15,520 --> 01:04:19,480 Speaker 1: makes you know this country really wonderful. And look, I've 1237 01:04:19,480 --> 01:04:22,880 Speaker 1: been I've been enormously blessed in my life where I 1238 01:04:22,880 --> 01:04:25,680 Speaker 1: grew up and how I grew up, and with what 1239 01:04:25,720 --> 01:04:28,080 Speaker 1: I do for a living, that I've gotten to learn 1240 01:04:28,120 --> 01:04:31,960 Speaker 1: from and and and meet all these wonderful folks that 1241 01:04:32,440 --> 01:04:38,400 Speaker 1: I've become enormously close with. So I've the folks that 1242 01:04:38,440 --> 01:04:41,480 Speaker 1: I have on my show are special forces soldiers, their 1243 01:04:41,800 --> 01:04:46,600 Speaker 1: police officers, their surgeons, their teachers, their coaches, the firefighters, 1244 01:04:46,640 --> 01:04:51,320 Speaker 1: their nurses. I really believe that when you focus on 1245 01:04:51,400 --> 01:04:54,000 Speaker 1: folks that really, you know, walk the walk, don't just 1246 01:04:54,080 --> 01:04:56,400 Speaker 1: talk about it, there's a certain kind of empathy there, 1247 01:04:56,480 --> 01:05:00,400 Speaker 1: there's a certain understanding. I think they're too busy, and 1248 01:05:00,400 --> 01:05:03,360 Speaker 1: and and I've had too much time, you know, really 1249 01:05:03,400 --> 01:05:06,000 Speaker 1: with Boots on the grounds of these issues to join 1250 01:05:06,080 --> 01:05:09,680 Speaker 1: us side. Uh. And they understand that, you know, we're 1251 01:05:09,720 --> 01:05:12,000 Speaker 1: all human beings, and we all want what's best for 1252 01:05:12,000 --> 01:05:15,480 Speaker 1: our kids, and we all want our families to prosper 1253 01:05:15,560 --> 01:05:17,400 Speaker 1: and and and and and to make this world as 1254 01:05:17,400 --> 01:05:21,480 Speaker 1: good as possible. And I'm enormously enormously grateful for the 1255 01:05:21,720 --> 01:05:23,720 Speaker 1: folks that come on my show, and I believe in them. 1256 01:05:24,080 --> 01:05:27,000 Speaker 1: And as much as I sort of want less of 1257 01:05:27,040 --> 01:05:29,840 Speaker 1: me out there, not not not more, this show really 1258 01:05:29,840 --> 01:05:31,360 Speaker 1: has nothing to do with me. It's about the great 1259 01:05:31,400 --> 01:05:33,480 Speaker 1: folks that I bring on. Well, it actually really comes 1260 01:05:33,520 --> 01:05:35,440 Speaker 1: through in your interviews. Like I said, I mean, I 1261 01:05:35,480 --> 01:05:38,400 Speaker 1: think personally, I think most celebrity podcasts are terrible. But 1262 01:05:38,560 --> 01:05:40,200 Speaker 1: I was listening to this, I'm like, this guy actually 1263 01:05:40,240 --> 01:05:42,919 Speaker 1: asked good questions, he's letting his guest speak, he's making 1264 01:05:42,920 --> 01:05:46,920 Speaker 1: sure he's elevating somebody legitimately interesting, and I guess it's 1265 01:05:47,000 --> 01:05:48,560 Speaker 1: you know, it's fit. I mean, like I'm saying, to 1266 01:05:48,600 --> 01:05:50,680 Speaker 1: be honest, I've always found like a deep fascination with 1267 01:05:50,720 --> 01:05:53,560 Speaker 1: some of the characters. You have a real rawness in 1268 01:05:53,560 --> 01:05:55,560 Speaker 1: some of the people that you play. We were speaking 1269 01:05:56,200 --> 01:05:59,080 Speaker 1: before we went on the air about We Own the City, 1270 01:05:59,200 --> 01:06:01,720 Speaker 1: which is David Sie means, I would, I guess kind 1271 01:06:01,720 --> 01:06:04,280 Speaker 1: of a sequel ish to The Wire, in which you 1272 01:06:04,320 --> 01:06:07,040 Speaker 1: play a Baltimore police officer. I'm not going to give 1273 01:06:07,040 --> 01:06:09,920 Speaker 1: away too much, but I mean, can you maybe talk about, 1274 01:06:10,000 --> 01:06:11,440 Speaker 1: you know, some of the themes that we have here 1275 01:06:11,480 --> 01:06:16,360 Speaker 1: on our show, on your show in playing multifaceted characters 1276 01:06:16,440 --> 01:06:19,640 Speaker 1: which are both villainous, but you're also doing something in 1277 01:06:19,680 --> 01:06:23,800 Speaker 1: a social commentary which is very deep and outside of 1278 01:06:23,840 --> 01:06:25,760 Speaker 1: the way that the most of the media and popular 1279 01:06:25,800 --> 01:06:29,200 Speaker 1: culture likes to talk about these things. Yeah. Look, I 1280 01:06:29,760 --> 01:06:33,240 Speaker 1: think that's right. I think I think, Look, who better 1281 01:06:33,320 --> 01:06:37,360 Speaker 1: to kind of explore these these these issues that I've 1282 01:06:37,400 --> 01:06:41,760 Speaker 1: really gripped the soul of the country right now, these 1283 01:06:41,760 --> 01:06:44,800 Speaker 1: issues of recent race and policing. You better to do 1284 01:06:44,840 --> 01:06:47,880 Speaker 1: that than than than David Simon and George Placatas they 1285 01:06:47,880 --> 01:06:50,520 Speaker 1: come to the work with the journalistic integrity. They're trying 1286 01:06:50,560 --> 01:06:53,680 Speaker 1: to tell the truth. There's no agenda, there's no flag waving, 1287 01:06:54,640 --> 01:06:58,080 Speaker 1: And I knew with these guys there would be a 1288 01:06:58,080 --> 01:07:01,919 Speaker 1: certain level of access in the City of Baltimore because 1289 01:07:01,920 --> 01:07:04,320 Speaker 1: of what they've done before. It's hard. You know. The 1290 01:07:04,880 --> 01:07:09,080 Speaker 1: way that I really like to work again is to 1291 01:07:09,480 --> 01:07:10,920 Speaker 1: to kind of dive in and to get to know 1292 01:07:10,960 --> 01:07:13,800 Speaker 1: the real folks. That's sort of my sword to try 1293 01:07:13,840 --> 01:07:17,200 Speaker 1: to tell the story as authentically and truthfully as I can. 1294 01:07:17,560 --> 01:07:20,200 Speaker 1: And I knew with David Simon because of, for lack 1295 01:07:20,240 --> 01:07:23,000 Speaker 1: of a better word, their street cred with the wire. 1296 01:07:23,080 --> 01:07:26,280 Speaker 1: When you're going into the Baltimore Police Department and you're saying, hey, 1297 01:07:26,280 --> 01:07:28,960 Speaker 1: we're trying to tell a story about sort of one 1298 01:07:28,960 --> 01:07:31,880 Speaker 1: of the most corrupt and vile episodes of your department, 1299 01:07:32,960 --> 01:07:35,280 Speaker 1: you know, it's gonna be hard to get them to 1300 01:07:35,360 --> 01:07:37,439 Speaker 1: kind of open up their hearts and minds and open 1301 01:07:37,520 --> 01:07:39,880 Speaker 1: up the doors to you. You know. For that show, 1302 01:07:39,920 --> 01:07:42,480 Speaker 1: I did three months of ride alongs every day in 1303 01:07:42,520 --> 01:07:44,480 Speaker 1: every district of the city. I went on drug raids 1304 01:07:44,920 --> 01:07:48,440 Speaker 1: with with the Baltimore Swat Team, And I'm so grateful 1305 01:07:48,840 --> 01:07:52,640 Speaker 1: to those guys and and and what I found by 1306 01:07:53,080 --> 01:07:55,560 Speaker 1: this approach of kind of digging into the wound of 1307 01:07:55,960 --> 01:07:59,080 Speaker 1: raising policing, try to tell the story authentically and without 1308 01:07:59,120 --> 01:08:02,680 Speaker 1: an agenda, I found that they really appreciated it. And look, 1309 01:08:02,720 --> 01:08:07,000 Speaker 1: I mean, I think that there's no words for you know, 1310 01:08:07,080 --> 01:08:10,720 Speaker 1: how how vile and reprehensible and how awful uh, you know, 1311 01:08:10,760 --> 01:08:13,280 Speaker 1: police brutality and police corruption and the effect that that 1312 01:08:13,440 --> 01:08:17,000 Speaker 1: has on victims, whether it's Fourth Amendment UH violation, victims, 1313 01:08:17,040 --> 01:08:19,639 Speaker 1: folks that have been wrongfully imprisoned, folks that have been beaten, 1314 01:08:19,680 --> 01:08:22,120 Speaker 1: folks that have been killed. There's no words for that. 1315 01:08:22,960 --> 01:08:26,479 Speaker 1: There's also another subset of victims that I never knew about, 1316 01:08:26,640 --> 01:08:29,680 Speaker 1: and and and I think it's very little focused. And 1317 01:08:29,720 --> 01:08:34,800 Speaker 1: that's the good, uh and righteous and courageous people that 1318 01:08:34,880 --> 01:08:38,200 Speaker 1: take the you know, peacemakers code, the peacemaker's oath, and 1319 01:08:38,200 --> 01:08:41,439 Speaker 1: that go and police our cities. Good cops suffer at 1320 01:08:41,439 --> 01:08:45,120 Speaker 1: the hands of bad cops. And there's no other profession. 1321 01:08:45,760 --> 01:08:49,960 Speaker 1: I think that you know, the the acts of the vile, 1322 01:08:50,120 --> 01:08:54,360 Speaker 1: acts of you know, the worst of them really just 1323 01:08:55,080 --> 01:08:58,560 Speaker 1: you know, changes both the career paths and just the 1324 01:08:59,080 --> 01:09:02,960 Speaker 1: livelihoods and waigh in which people police. And you know, 1325 01:09:04,080 --> 01:09:05,439 Speaker 1: it's part of the thing that I'm trying to do 1326 01:09:05,479 --> 01:09:08,599 Speaker 1: on my podcast as well, is I think the only 1327 01:09:08,680 --> 01:09:12,559 Speaker 1: answer there is to weed out and single out the 1328 01:09:12,560 --> 01:09:15,240 Speaker 1: ones that you know are there for the wrong reasons, 1329 01:09:15,280 --> 01:09:18,120 Speaker 1: and they're there for corruption and have horrible, horrible issues 1330 01:09:18,160 --> 01:09:20,559 Speaker 1: that manifest itself in violence on the street. But let's 1331 01:09:20,600 --> 01:09:24,599 Speaker 1: also celebrate the great police. And I think the answers 1332 01:09:24,640 --> 01:09:27,879 Speaker 1: to policing will lie in the people that have community 1333 01:09:27,920 --> 01:09:31,280 Speaker 1: minded great police that have been there forever. And you know, 1334 01:09:31,320 --> 01:09:32,960 Speaker 1: I'm really grateful that I got sort of a front 1335 01:09:33,040 --> 01:09:34,360 Speaker 1: road ticket to that and I got to make some 1336 01:09:34,400 --> 01:09:37,160 Speaker 1: really good friends along the way. That's great, man. I mean, 1337 01:09:37,240 --> 01:09:39,320 Speaker 1: it really comes through in your acting and your show, 1338 01:09:39,439 --> 01:09:42,880 Speaker 1: and I really think you're really having a renaissance these days. 1339 01:09:42,920 --> 01:09:45,519 Speaker 1: And I can attest to the audience he is one 1340 01:09:45,520 --> 01:09:47,320 Speaker 1: of the real ones. He's one of the good ones, 1341 01:09:47,360 --> 01:09:48,920 Speaker 1: not one of the ones we make fun of often 1342 01:09:49,280 --> 01:09:51,479 Speaker 1: on the show. So John, thank you very much for 1343 01:09:51,560 --> 01:09:54,840 Speaker 1: joining us. I really appreciated both your podcast and talking 1344 01:09:54,880 --> 01:09:56,280 Speaker 1: to you, getting to get to know you a little 1345 01:09:56,320 --> 01:09:57,640 Speaker 1: bit more, and I look forward to a lot more 1346 01:09:57,680 --> 01:10:03,799 Speaker 1: of your work. So thank you. Good morning, everybody, Happy Thursday. 1347 01:10:03,840 --> 01:10:05,479 Speaker 1: We have an amazing show for everybody today. What do 1348 01:10:05,479 --> 01:10:09,040 Speaker 1: we have, Crystal, Indeed we do. We have many, many 1349 01:10:09,439 --> 01:10:12,040 Speaker 1: very interesting election results to dig through, both on the 1350 01:10:12,080 --> 01:10:15,080 Speaker 1: Republican side and on the Democratic side. On both sides, 1351 01:10:15,120 --> 01:10:17,639 Speaker 1: there are races that still are not called that are 1352 01:10:17,640 --> 01:10:20,559 Speaker 1: going to recount. We will bring you all of that. Also, 1353 01:10:20,640 --> 01:10:24,040 Speaker 1: Madison Cawthorne is part of that. He did lose his seat. 1354 01:10:24,240 --> 01:10:26,879 Speaker 1: We'll tell you. Wow, it was very it was ultimately 1355 01:10:26,920 --> 01:10:29,559 Speaker 1: pretty close, but he did lose. We'll tell you about 1356 01:10:29,600 --> 01:10:35,559 Speaker 1: all of that. Also, the Ministry of Truth Board it's folded. Yeah, 1357 01:10:35,640 --> 01:10:38,280 Speaker 1: that didn't take long. The Biden administration, I guess, to 1358 01:10:38,320 --> 01:10:41,320 Speaker 1: their credit, was like, you know, let's like just press 1359 01:10:41,439 --> 01:10:43,800 Speaker 1: pause on this one. Yeah. But in some ways, the 1360 01:10:43,840 --> 01:10:46,880 Speaker 1: real story here is the way that the media read 1361 01:10:46,960 --> 01:10:50,519 Speaker 1: Taylor Lorenz is covering this, which I have to tell you, 1362 01:10:50,840 --> 01:10:53,200 Speaker 1: the article that she wrote about this is literally one 1363 01:10:53,200 --> 01:10:55,479 Speaker 1: of the worst journalistic products I have ever read in 1364 01:10:55,520 --> 01:10:58,800 Speaker 1: my entire life. It is psycho truly insane. So break 1365 01:10:58,800 --> 01:11:02,439 Speaker 1: that down for you all. 's so, Biden administration making 1366 01:11:02,479 --> 01:11:05,400 Speaker 1: some big moves with regards to baby formula. He is 1367 01:11:05,640 --> 01:11:09,760 Speaker 1: now at last invoking the Defense Production Act. They also 1368 01:11:09,800 --> 01:11:13,799 Speaker 1: have a plan to fly in baby formula from Europe. Obviously, 1369 01:11:13,840 --> 01:11:17,519 Speaker 1: those shortages have been devastating for moms and babies and families. 1370 01:11:17,640 --> 01:11:19,599 Speaker 1: Just a terrible thing that people have been going through, 1371 01:11:19,600 --> 01:11:21,720 Speaker 1: so we will bring you those details. We also are 1372 01:11:21,720 --> 01:11:25,599 Speaker 1: excited to bring geopolitical strategist Peter Zihan onto the show. 1373 01:11:25,960 --> 01:11:28,080 Speaker 1: He can talk Ukraine, in Russia, he can talk China, 1374 01:11:28,160 --> 01:11:30,000 Speaker 1: he can talk the world going forward. He's got a 1375 01:11:30,040 --> 01:11:32,800 Speaker 1: new book out called The End of the World is 1376 01:11:32,920 --> 01:11:35,559 Speaker 1: Just the Beginning, which is not exactly a hopeful read, 1377 01:11:35,680 --> 01:11:39,040 Speaker 1: but maybe an important one. Nonetheless, But we wanted to 1378 01:11:39,080 --> 01:11:42,240 Speaker 1: start this morning with the big primary results and cyber 1379 01:11:42,320 --> 01:11:44,360 Speaker 1: Let's go ahead and start with the Republican side of things. Yeah, 1380 01:11:44,400 --> 01:11:46,160 Speaker 1: we were hoping that we would be able to give 1381 01:11:46,240 --> 01:11:50,120 Speaker 1: you full results, but unfortunately the count continues in Pennsylvania. 1382 01:11:50,200 --> 01:11:53,120 Speaker 1: Let's put this up there on the screen. David McCormick 1383 01:11:53,120 --> 01:11:55,200 Speaker 1: and Memet Oz continue to be locked in the race 1384 01:11:55,240 --> 01:11:58,200 Speaker 1: for the GOP Senate nomination now in terms of where 1385 01:11:58,200 --> 01:12:01,960 Speaker 1: the things stand literally right now, honestly, it is almost 1386 01:12:02,000 --> 01:12:04,800 Speaker 1: certainly going to a recount because it is within the 1387 01:12:04,920 --> 01:12:08,679 Speaker 1: point five percentage. Now. The McCormick team and the Oz 1388 01:12:08,720 --> 01:12:11,040 Speaker 1: team are both saying that they have this thing in 1389 01:12:11,080 --> 01:12:13,639 Speaker 1: the bag. Doctor Oz appeared on Sean Hannity. He said 1390 01:12:13,640 --> 01:12:15,479 Speaker 1: that he's almost certain that he's going to pull it out. 1391 01:12:15,680 --> 01:12:18,880 Speaker 1: But you know, the top strategist who works for the 1392 01:12:18,920 --> 01:12:22,519 Speaker 1: top strategist who actually works for David McCormick, just came 1393 01:12:22,560 --> 01:12:24,599 Speaker 1: out this morning and here's what he had to say. 1394 01:12:24,800 --> 01:12:26,920 Speaker 1: At the end of last night, Dave was down two 1395 01:12:26,960 --> 01:12:29,360 Speaker 1: thousand and seven hundred votes. Today out of the ten 1396 01:12:29,479 --> 01:12:32,240 Speaker 1: k of the thirty three absentee ballots that were counted, 1397 01:12:32,400 --> 01:12:34,960 Speaker 1: we continue to average a plus ten percent victory. We 1398 01:12:35,000 --> 01:12:37,760 Speaker 1: have closed the gap by fifteen hundred votes. Dave is 1399 01:12:37,800 --> 01:12:40,439 Speaker 1: now only down by twelve hundred votes. With an estimated 1400 01:12:40,479 --> 01:12:44,000 Speaker 1: twenty thousand GOP absentee ballots left account, Dave is almost 1401 01:12:44,000 --> 01:12:46,120 Speaker 1: certainly going to win. That guy works for Dave McCormick. 1402 01:12:46,200 --> 01:12:48,880 Speaker 1: So here's the thing that's a spin on both of them. 1403 01:12:49,000 --> 01:12:51,519 Speaker 1: At the same time. In terms of the outstanding ballots, 1404 01:12:51,560 --> 01:12:53,519 Speaker 1: we don't actually know where a lot of those outstanding 1405 01:12:53,520 --> 01:12:55,680 Speaker 1: ballots come from. Jeff Rowe is not wrong that the 1406 01:12:55,720 --> 01:12:58,120 Speaker 1: outstanding ballots have been going plus ten, but the late 1407 01:12:58,240 --> 01:13:00,960 Speaker 1: arriving absentee ballots, which are most of these, seem to 1408 01:13:00,960 --> 01:13:03,920 Speaker 1: be ones which break a little bit better for doctor Oz. 1409 01:13:04,000 --> 01:13:06,920 Speaker 1: I think that the actual result of this is you 1410 01:13:07,000 --> 01:13:08,599 Speaker 1: are not going to know who won this race for 1411 01:13:08,680 --> 01:13:11,439 Speaker 1: like a week. Yeah, because it's so within the margin 1412 01:13:11,479 --> 01:13:13,800 Speaker 1: of error, you know, I'm talking about you know, doctor 1413 01:13:13,840 --> 01:13:16,680 Speaker 1: Oz is thirty one point three percent, David McCormick is 1414 01:13:16,680 --> 01:13:19,799 Speaker 1: thirty one point one percent. This is one where recount 1415 01:13:19,880 --> 01:13:23,200 Speaker 1: theoretically actually could change the results. And you know, there's 1416 01:13:23,240 --> 01:13:25,240 Speaker 1: going to be all kinds of legal battles. Both these 1417 01:13:25,240 --> 01:13:27,280 Speaker 1: guys have a ton of money in the bank, So 1418 01:13:27,400 --> 01:13:29,479 Speaker 1: we are just simply not going to know what happened 1419 01:13:29,479 --> 01:13:32,360 Speaker 1: in this race, Crystal. Yeah, so right now, the differential 1420 01:13:32,400 --> 01:13:36,080 Speaker 1: is about twelve hundred ballots that Oz is up on McCormick. 1421 01:13:36,240 --> 01:13:40,559 Speaker 1: And watched Steve Kornacki's analysis this morning, and dude does 1422 01:13:40,560 --> 01:13:42,920 Speaker 1: a savant when it comes to all of these like 1423 01:13:42,960 --> 01:13:45,800 Speaker 1: election ballot counting stuff. And so basically what he said 1424 01:13:45,920 --> 01:13:50,519 Speaker 1: is there is some outstanding election day vote both in 1425 01:13:51,000 --> 01:13:54,639 Speaker 1: one of McCormick's strongholds over in Allegating County Pittsburgh area 1426 01:13:55,080 --> 01:13:59,280 Speaker 1: and in one of Oz's strongholds over towards Philadelphia. So 1427 01:13:59,600 --> 01:14:02,000 Speaker 1: that sort of seems like it will more or less 1428 01:14:02,000 --> 01:14:05,880 Speaker 1: cancel itself out. The big question is, according to Kornaki, 1429 01:14:06,000 --> 01:14:11,519 Speaker 1: there's probably about fifteen thousand absentee mail in ballots left 1430 01:14:11,520 --> 01:14:14,680 Speaker 1: to count, and that's the real question mark, because what 1431 01:14:14,800 --> 01:14:16,760 Speaker 1: Karnaki was saying was that those have been coming in 1432 01:14:16,800 --> 01:14:20,120 Speaker 1: more like seven percent in favor of McCormick, not the 1433 01:14:20,160 --> 01:14:24,040 Speaker 1: ten percent that his dude is saying. So yeah, anyway, 1434 01:14:24,240 --> 01:14:28,479 Speaker 1: I mean, it really genuinely could go either way. Very 1435 01:14:28,560 --> 01:14:31,799 Speaker 1: likely that this thing comes down to a few hundred ballots. 1436 01:14:31,880 --> 01:14:35,240 Speaker 1: It is just that close. Yeah, So it really is. 1437 01:14:35,400 --> 01:14:37,720 Speaker 1: It really is pretty remarkable. It's also interesting that the 1438 01:14:37,880 --> 01:14:41,800 Speaker 1: Trump backed candidates sort of consistently have done better on 1439 01:14:42,040 --> 01:14:45,880 Speaker 1: election day in person voting versus the mail in vote, 1440 01:14:45,920 --> 01:14:48,280 Speaker 1: so continues to be a holdover from you know, his 1441 01:14:48,320 --> 01:14:50,880 Speaker 1: whole mail in balloting and fraud and all of that stuff. Yeah. 1442 01:14:50,880 --> 01:14:53,200 Speaker 1: That's also a fun one, which is that the McCormick 1443 01:14:53,240 --> 01:14:54,759 Speaker 1: and all these other guys who think that the election 1444 01:14:54,880 --> 01:14:56,720 Speaker 1: was stolen are like, well, when all the mail in 1445 01:14:56,800 --> 01:14:59,639 Speaker 1: ballots are counted, we're sure that we'll win. It's like, right, well, 1446 01:14:59,640 --> 01:15:04,400 Speaker 1: that's how Biden won Pennsylvania. More else, whatever, I'm got 1447 01:15:04,400 --> 01:15:06,320 Speaker 1: the first guy to make the point. I know it's 1448 01:15:06,360 --> 01:15:08,640 Speaker 1: a boomer lib one, but you know it actually is 1449 01:15:08,920 --> 01:15:11,720 Speaker 1: sometimes correct. Sometimes the boomer libs have a point. Okay, 1450 01:15:11,800 --> 01:15:13,400 Speaker 1: let's go ahead and put this next one up on 1451 01:15:13,439 --> 01:15:16,840 Speaker 1: the screen. This is pretty funny. Trump is urging doctor 1452 01:15:16,880 --> 01:15:19,760 Speaker 1: Oz to declare victory us speaking there as the neck 1453 01:15:19,800 --> 01:15:23,360 Speaker 1: and net vote continues, and in terms of how exactly 1454 01:15:23,360 --> 01:15:25,760 Speaker 1: Trump candidate's fared, I think this is a pretty important one. 1455 01:15:25,800 --> 01:15:28,000 Speaker 1: Let's go put the next one up there, guys. So 1456 01:15:28,200 --> 01:15:31,200 Speaker 1: here's where things stand right now. So JVD vance. Obviously 1457 01:15:31,240 --> 01:15:33,879 Speaker 1: he won. By the way JD was actually asked yesterday. 1458 01:15:33,880 --> 01:15:36,000 Speaker 1: He thinks doctor Oz is still going to pull it out. 1459 01:15:36,120 --> 01:15:38,679 Speaker 1: You know, we'll see how that works out. He wants 1460 01:15:38,680 --> 01:15:40,679 Speaker 1: to just toe the Trump line too. I guess that's fair. 1461 01:15:40,760 --> 01:15:42,960 Speaker 1: So look, everybody's got an agenda. I'm just telling you. 1462 01:15:42,960 --> 01:15:44,559 Speaker 1: You know, this is such a nail bier. We truly 1463 01:15:44,600 --> 01:15:47,439 Speaker 1: have no idea. Gilbert he won twenty nine percent, Herbster 1464 01:15:47,600 --> 01:15:50,679 Speaker 1: thirty percent. He actually lost. Madison Cawthorne, he was the loss, 1465 01:15:50,720 --> 01:15:53,040 Speaker 1: and he was an incumbent. Heines he won it thirty 1466 01:15:53,040 --> 01:15:56,480 Speaker 1: two percent. Pleasly, doctor Oz, we don't yet know mcgeechen. 1467 01:15:56,520 --> 01:15:59,519 Speaker 1: He's down who had only twenty five percent, sorry, twenty 1468 01:15:59,520 --> 01:16:03,000 Speaker 1: five percent, and she actually lost. But then Mastriano obviously 1469 01:16:03,040 --> 01:16:06,000 Speaker 1: did win, so that we're going to cover fully in 1470 01:16:06,080 --> 01:16:08,519 Speaker 1: our next block. I do think it is in that one. Yeah, 1471 01:16:08,600 --> 01:16:11,599 Speaker 1: I think the major takeaway from the Senate race is 1472 01:16:11,640 --> 01:16:14,880 Speaker 1: that Kathy Barnett, for all of the hype, didn't even 1473 01:16:14,920 --> 01:16:17,120 Speaker 1: come close to winning this thing, Crystal. So a lot 1474 01:16:17,160 --> 01:16:20,240 Speaker 1: of that really was driven by a single poll, a 1475 01:16:20,240 --> 01:16:22,840 Speaker 1: lot of it was cope. I also think that Kathy 1476 01:16:22,840 --> 01:16:26,280 Speaker 1: Barnett probably did cost Oz the nomination if he did lose, 1477 01:16:26,439 --> 01:16:28,839 Speaker 1: just because a lot of people who are MAGA couldn't 1478 01:16:28,840 --> 01:16:31,680 Speaker 1: really bring themselves to vote for Oz, and that McCormick 1479 01:16:31,760 --> 01:16:34,240 Speaker 1: is really slipping in as a result out of that. 1480 01:16:34,280 --> 01:16:36,200 Speaker 1: I'm not, you know, no criticism. I'm just saying that's 1481 01:16:36,240 --> 01:16:39,439 Speaker 1: almost certainly how he kept that lane of the Pat 1482 01:16:39,520 --> 01:16:43,320 Speaker 1: Toomey pro business type republic. Well, it also was the 1483 01:16:43,360 --> 01:16:46,559 Speaker 1: case that in the final stretch, rather than them going 1484 01:16:46,600 --> 01:16:50,240 Speaker 1: hard on McCormick, they actually switched and trained their fire 1485 01:16:50,400 --> 01:16:53,480 Speaker 1: on Kathy Barnett because she seemed to have the momentum 1486 01:16:53,520 --> 01:16:55,719 Speaker 1: was rising quickly in the polls. I mean, she's still finished, 1487 01:16:55,720 --> 01:16:57,640 Speaker 1: she's finished. In the twenty that was like twenty one 1488 01:16:57,640 --> 01:16:59,479 Speaker 1: percent or something like that. Yep, which was still much 1489 01:16:59,520 --> 01:17:01,720 Speaker 1: higher than she had been in the polls. So I 1490 01:17:01,760 --> 01:17:04,439 Speaker 1: don't think they were wrong that she was surging. But yeah, 1491 01:17:04,520 --> 01:17:07,160 Speaker 1: by focusing and training their fire on her rather than 1492 01:17:07,160 --> 01:17:10,200 Speaker 1: staying focused on McCormick, they let him kind of sneak 1493 01:17:10,240 --> 01:17:12,320 Speaker 1: in here. And also you can see, I mean, he 1494 01:17:12,400 --> 01:17:15,120 Speaker 1: must have had a pretty effective organization to have banked 1495 01:17:15,160 --> 01:17:18,519 Speaker 1: all of these mail in ballots early on, before the 1496 01:17:18,560 --> 01:17:21,400 Speaker 1: final stretch of the campaign. So it is interesting. I mean, 1497 01:17:21,840 --> 01:17:23,760 Speaker 1: we were talking a little bit about by the way, 1498 01:17:23,840 --> 01:17:26,200 Speaker 1: I think the fact that Trump is saying, hey, Oz, 1499 01:17:26,200 --> 01:17:28,040 Speaker 1: you should go ahead and declare victory, and he said 1500 01:17:28,040 --> 01:17:30,360 Speaker 1: something like before they find the mail in ballots and 1501 01:17:30,400 --> 01:17:32,400 Speaker 1: you know, make you lose or whatever. To me, that's 1502 01:17:32,439 --> 01:17:35,320 Speaker 1: almost maybe the best indicator we have that they actually 1503 01:17:35,320 --> 01:17:37,960 Speaker 1: do think McCormick may pull this thing out in the end. 1504 01:17:38,400 --> 01:17:40,840 Speaker 1: Who knows, Maybe he doesn't know anything more than we do, 1505 01:17:40,920 --> 01:17:42,479 Speaker 1: and he's just sort of getting ahead of this thing 1506 01:17:42,520 --> 01:17:45,240 Speaker 1: in case it goes south. But that to me was 1507 01:17:45,280 --> 01:17:48,200 Speaker 1: maybe the best indicator that actually the hedge fund gul 1508 01:17:48,280 --> 01:17:50,599 Speaker 1: McCormick may ned up on top. And then we were 1509 01:17:50,600 --> 01:17:54,200 Speaker 1: talking I'm interested your thoughts, Sager, which one of these candidates, 1510 01:17:54,360 --> 01:17:57,880 Speaker 1: oz Or McCormick is stronger ultimately in the fall because 1511 01:17:57,880 --> 01:18:01,640 Speaker 1: you hear a lot of sort of mainstream it's theorizing 1512 01:18:01,880 --> 01:18:05,080 Speaker 1: because they had the example of Glenn Youngkin. McCormick is 1513 01:18:05,160 --> 01:18:08,840 Speaker 1: kind of a similar, like similar model of financial ghoul 1514 01:18:08,920 --> 01:18:11,840 Speaker 1: who's able to signal to the mega base but not 1515 01:18:11,920 --> 01:18:14,400 Speaker 1: go all the way in on the election conspiracies. That 1516 01:18:14,479 --> 01:18:17,559 Speaker 1: potentially that's a path to victory in the fall. But 1517 01:18:17,800 --> 01:18:20,920 Speaker 1: I personally think oz just because he is such a 1518 01:18:20,920 --> 01:18:25,880 Speaker 1: well known and famous figure, especially among just like regular people, 1519 01:18:26,280 --> 01:18:28,200 Speaker 1: I think he could have a lot of crossover appeal 1520 01:18:28,200 --> 01:18:30,679 Speaker 1: and be very difficult to defeat in the fall. That's 1521 01:18:30,680 --> 01:18:33,479 Speaker 1: a very conventional take, you know, I completely agree with you, 1522 01:18:33,560 --> 01:18:36,160 Speaker 1: which is that there seems to be like a lunacy 1523 01:18:36,200 --> 01:18:38,439 Speaker 1: here in Washington, which is that the boring hedge fund 1524 01:18:38,439 --> 01:18:40,400 Speaker 1: guy is going to be run better in the state 1525 01:18:40,439 --> 01:18:44,559 Speaker 1: of Pennsylvania. I mean, here's the thing. David McCormick worked 1526 01:18:44,560 --> 01:18:48,000 Speaker 1: for Ray Dalyo and ran the hedge funge with pioneered 1527 01:18:48,040 --> 01:18:51,160 Speaker 1: shipping jobs over to China and knows how to make 1528 01:18:51,160 --> 01:18:55,120 Speaker 1: that Keennsylvania, And we'll be running against the guy from 1529 01:18:55,280 --> 01:18:59,840 Speaker 1: Steel Country Pennsylvania. You tell me whether that guy's gonna 1530 01:18:59,840 --> 01:19:02,320 Speaker 1: do better or is the guy who is one of 1531 01:19:02,360 --> 01:19:06,400 Speaker 1: the most famous people in America who also has massive 1532 01:19:06,439 --> 01:19:09,759 Speaker 1: crossover appeal, especially with the suburban women in the mainline 1533 01:19:09,800 --> 01:19:14,120 Speaker 1: Pennsylvania area which are disproportionately Democratic. Now you tell me. 1534 01:19:14,360 --> 01:19:16,719 Speaker 1: You know, we were also talking about this during the primary. 1535 01:19:16,760 --> 01:19:19,920 Speaker 1: Oz did not but clown himself he'd had no major 1536 01:19:20,320 --> 01:19:23,840 Speaker 1: Kathy Barnett type interview. Yeah, obviously he sucked up the Trump, 1537 01:19:23,840 --> 01:19:25,960 Speaker 1: but I mean who didn't At the end of the day, 1538 01:19:26,160 --> 01:19:30,160 Speaker 1: he is actually an extraordinarily good communicator. You know, his 1539 01:19:30,360 --> 01:19:34,559 Speaker 1: major issues were like COVID talking about inflation, all of 1540 01:19:34,560 --> 01:19:37,360 Speaker 1: the stuff that he's stuck to, very centrist, high level 1541 01:19:37,400 --> 01:19:39,840 Speaker 1: of appeal. Now, look, personally, I think both McCormick or 1542 01:19:39,920 --> 01:19:42,080 Speaker 1: Oz is going to beat Fetterman simply because of the 1543 01:19:42,160 --> 01:19:45,599 Speaker 1: national environment. All politics is national. Candidate quality matters, but 1544 01:19:45,640 --> 01:19:48,040 Speaker 1: relatively on the margins, and I don't think that margin 1545 01:19:48,080 --> 01:19:50,559 Speaker 1: can be overcome. But I do think that doctor Oz 1546 01:19:50,720 --> 01:19:54,120 Speaker 1: is a safer bet, and I think ultimately what sunk 1547 01:19:54,200 --> 01:19:57,080 Speaker 1: him in this primary is really the demands of the 1548 01:19:57,120 --> 01:20:00,120 Speaker 1: MAGA base in order to have higher standards than they 1549 01:20:00,120 --> 01:20:02,960 Speaker 1: have for Donald Trump. That's the part I don't understand. 1550 01:20:03,040 --> 01:20:05,439 Speaker 1: They're like, OZ used to be pro choice, so is Trump? 1551 01:20:05,600 --> 01:20:08,280 Speaker 1: OZ is pro gay? So is Trump? OZ used to 1552 01:20:08,320 --> 01:20:11,160 Speaker 1: be a liberal and hang out with Barack Obama. Trump 1553 01:20:11,240 --> 01:20:14,479 Speaker 1: literally donated to Hillary Clinton and was friends with the 1554 01:20:14,520 --> 01:20:18,160 Speaker 1: Clinton at their wedding, a wedding. I mean, this is 1555 01:20:18,200 --> 01:20:21,120 Speaker 1: what drives me insane. I don't understand. I'm like, look 1556 01:20:21,120 --> 01:20:24,080 Speaker 1: from a purely strategic perspective, do you want a legitimate 1557 01:20:24,160 --> 01:20:27,480 Speaker 1: A list celebrity, one of the most famous people in America? 1558 01:20:27,920 --> 01:20:31,960 Speaker 1: Or do you want David McCormick, who obviously was also 1559 01:20:32,520 --> 01:20:35,760 Speaker 1: liberal in the Goldman Sacks like sense and is now 1560 01:20:36,000 --> 01:20:40,160 Speaker 1: fake inventing himself as some harly writing body. Ever by 1561 01:20:40,280 --> 01:20:43,800 Speaker 1: both of these guys are rich carpetbaggers. Actually Oz is 1562 01:20:43,840 --> 01:20:46,559 Speaker 1: worth four hundred million, and he's probably the poorer man 1563 01:20:46,760 --> 01:20:49,720 Speaker 1: in that role. So definitely, you know, you make a 1564 01:20:49,760 --> 01:20:53,840 Speaker 1: good point about the Pennsylvania electorate versus the Virginia Electric 1565 01:20:54,240 --> 01:20:59,040 Speaker 1: Virginia is the electoral map of Virginia is completely dominated 1566 01:20:59,080 --> 01:21:03,679 Speaker 1: by northern Virginia's so Fairfax, Loudon County, Prince William County. 1567 01:21:03,720 --> 01:21:06,400 Speaker 1: This is all this is like the whole ball game 1568 01:21:06,520 --> 01:21:09,639 Speaker 1: in terms of Virginia politics at this point. So yeah, 1569 01:21:09,680 --> 01:21:13,840 Speaker 1: for those people, Glenn Youngkin apparently was a good fit 1570 01:21:13,880 --> 01:21:17,320 Speaker 1: and a good candidate. Pennsylvania has a very different electorate. 1571 01:21:17,720 --> 01:21:20,840 Speaker 1: It is much more of a blue collar state at 1572 01:21:20,880 --> 01:21:24,120 Speaker 1: this point. And you know, I agree with you that. Listen, 1573 01:21:24,200 --> 01:21:28,519 Speaker 1: it's still Democrats have really tall hill to climb, and 1574 01:21:29,040 --> 01:21:32,479 Speaker 1: so you would still say probably advantage Republicans in the fall. 1575 01:21:32,560 --> 01:21:35,599 Speaker 1: Right now, the state is rated by most ratings like 1576 01:21:35,640 --> 01:21:38,439 Speaker 1: as a toss up right now. But you do have 1577 01:21:38,479 --> 01:21:41,240 Speaker 1: to say Fetterman is probably the best candidate that Democrats 1578 01:21:41,280 --> 01:21:43,400 Speaker 1: could possibly put up. And we'll get more into him 1579 01:21:43,439 --> 01:21:46,599 Speaker 1: in a moment, but he does come from Steel country. 1580 01:21:46,600 --> 01:21:48,719 Speaker 1: He was a mayor of a steel town. He still 1581 01:21:48,760 --> 01:21:51,640 Speaker 1: has that every man shows up in you know, his 1582 01:21:51,720 --> 01:21:54,280 Speaker 1: basketball shorts everywhere he goes, and not as some like 1583 01:21:54,360 --> 01:21:57,000 Speaker 1: fake McCormick like I'm the country guide now, like this 1584 01:21:57,080 --> 01:21:59,400 Speaker 1: is genuinely you can tell. It's very legit and who 1585 01:21:59,439 --> 01:22:01,880 Speaker 1: he is and who is has always been. He's also 1586 01:22:02,000 --> 01:22:04,720 Speaker 1: very well known in the state and very well liked. 1587 01:22:04,760 --> 01:22:07,920 Speaker 1: So I do think Democrats have put up the most 1588 01:22:07,960 --> 01:22:11,120 Speaker 1: formidable candidate that they could in the state in a 1589 01:22:11,200 --> 01:22:14,280 Speaker 1: landscape that continues to be very difficult. If it's Oz 1590 01:22:14,280 --> 01:22:17,519 Speaker 1: that he's up against, I think that's very almost impossible 1591 01:22:17,520 --> 01:22:21,280 Speaker 1: to overcome without some major issue from Oz. If it's McCormick, 1592 01:22:21,280 --> 01:22:23,679 Speaker 1: I think he's got a shot. Yeah, I think it's 1593 01:22:23,680 --> 01:22:26,439 Speaker 1: certainly true. I think Fetterman has a shot regardless. I 1594 01:22:26,560 --> 01:22:29,240 Speaker 1: just like when I say probably, I'm talking to you know, 1595 01:22:29,320 --> 01:22:32,599 Speaker 1: percentage wise, like sixty national percent or so. So that's 1596 01:22:32,640 --> 01:22:35,080 Speaker 1: generally where it's at. Let's throw this final one up there, 1597 01:22:35,080 --> 01:22:36,680 Speaker 1: the New York Times tear sheet, which is that the 1598 01:22:36,720 --> 01:22:38,840 Speaker 1: primaries really do show the limits and the depths of 1599 01:22:38,840 --> 01:22:41,720 Speaker 1: Trump's power over the GOP base. And I would really 1600 01:22:41,720 --> 01:22:43,360 Speaker 1: put it this way. I've talked a lot about the 1601 01:22:43,360 --> 01:22:45,720 Speaker 1: concept of variance on the show, which is that the 1602 01:22:45,800 --> 01:22:50,479 Speaker 1: trumpyness of the Republican Party means that in Trump estates 1603 01:22:50,560 --> 01:22:54,200 Speaker 1: a La Pennsylvania or Ohio, his endorsement is gonna matter 1604 01:22:54,280 --> 01:22:57,519 Speaker 1: a lot. Also, his endorsement in a state like Georgia, 1605 01:22:57,640 --> 01:23:00,879 Speaker 1: which is not trumpy, could also either have a negative 1606 01:23:00,920 --> 01:23:03,760 Speaker 1: effect or, in the case of Brian Camp, be very embarrassing. 1607 01:23:03,800 --> 01:23:06,479 Speaker 1: Hence why he lost the state of Georgia in the 1608 01:23:06,520 --> 01:23:09,559 Speaker 1: first place in the presidential election. So the Trump takeover 1609 01:23:09,600 --> 01:23:12,720 Speaker 1: of the Republican Party doesn't mean that he is powerful 1610 01:23:12,840 --> 01:23:15,559 Speaker 1: in the entire Republican Party across the entire country. Yeah, 1611 01:23:15,600 --> 01:23:19,120 Speaker 1: he's very very very powerful and influential in Trump Country, 1612 01:23:19,280 --> 01:23:22,120 Speaker 1: but in places that are more on the margins traditional 1613 01:23:22,479 --> 01:23:26,480 Speaker 1: Romney style Republicans. Actually, the Deep South is a good example. 1614 01:23:26,800 --> 01:23:29,559 Speaker 1: Those places are going to have independent power centers and 1615 01:23:29,640 --> 01:23:32,600 Speaker 1: more I wouldn't say forward thinking, but just more independent 1616 01:23:32,680 --> 01:23:36,400 Speaker 1: minded GOP voters than the people who really really really 1617 01:23:36,439 --> 01:23:39,679 Speaker 1: loved Trump in the industrial Midwest or in a West 1618 01:23:39,760 --> 01:23:42,720 Speaker 1: Virginia Appalasia type place. So that's just the way to 1619 01:23:42,760 --> 01:23:45,519 Speaker 1: think about it. Where, when, and why the Trump endorsement matters. 1620 01:23:45,720 --> 01:23:49,639 Speaker 1: I think if Trump did not intervene in the Pennsylvania race, 1621 01:23:49,760 --> 01:23:51,080 Speaker 1: first of all, I don't think Oz would have had 1622 01:23:51,120 --> 01:23:53,840 Speaker 1: any chance because there was clearly a lot of skepticism 1623 01:23:54,360 --> 01:23:57,240 Speaker 1: of him with the Republican base, and his unfavorable rating 1624 01:23:57,280 --> 01:24:00,200 Speaker 1: continued to be quite high among the Republican base out 1625 01:24:00,240 --> 01:24:03,360 Speaker 1: the primary. So I do think Trump put him in 1626 01:24:03,439 --> 01:24:06,719 Speaker 1: the fight. Whether he's able to prevail or not. Probably 1627 01:24:06,720 --> 01:24:09,200 Speaker 1: if Trump doesn't intervene, you could see world where Kathy 1628 01:24:09,240 --> 01:24:11,800 Speaker 1: Barnett then is the one who's able to take the 1629 01:24:11,840 --> 01:24:14,120 Speaker 1: thing by storm. I think he really kind of killed 1630 01:24:14,120 --> 01:24:16,639 Speaker 1: her campaign in the final weeks by coming out and 1631 01:24:16,720 --> 01:24:20,519 Speaker 1: you know, directly saying because she was really relying on 1632 01:24:20,600 --> 01:24:24,040 Speaker 1: being like, I am the Trump candidate, and she definitely 1633 01:24:24,080 --> 01:24:26,320 Speaker 1: had the credibility. And you can see the way that 1634 01:24:26,439 --> 01:24:30,320 Speaker 1: her partner in crime, Mastriano, you know, not only one 1635 01:24:30,360 --> 01:24:33,240 Speaker 1: but easily one in on the governor side of the mat, 1636 01:24:33,240 --> 01:24:36,040 Speaker 1: and that really didn't owe to Trump because Trump didn't. 1637 01:24:36,280 --> 01:24:38,880 Speaker 1: Trump got in after Mastreano had already surched and the 1638 01:24:38,880 --> 01:24:42,000 Speaker 1: writing was already on the wall there. So I do think, listen, 1639 01:24:42,040 --> 01:24:44,800 Speaker 1: his endorsement is still extremely consequential. Georgia may be a 1640 01:24:44,800 --> 01:24:48,160 Speaker 1: special situation, especially because you have an incumbent there in 1641 01:24:48,200 --> 01:24:50,400 Speaker 1: Brian Kemp, who apparently people more or less like, at 1642 01:24:50,479 --> 01:24:53,959 Speaker 1: least on the Republican side, So that makes it more difficult. 1643 01:24:53,960 --> 01:24:56,879 Speaker 1: They're not just evaluating what Trump says about this candidate. 1644 01:24:57,200 --> 01:24:59,640 Speaker 1: I think in these open seats where you have a 1645 01:24:59,720 --> 01:25:02,800 Speaker 1: ride candidates that are somewhat unknown, I think that's where 1646 01:25:02,800 --> 01:25:09,519 Speaker 1: he has a huge, huge impact. Biden's endorsement apparently means 1647 01:25:10,080 --> 01:25:16,720 Speaker 1: literally nothing literally nothing and maybe like net negative, let's 1648 01:25:16,760 --> 01:25:20,200 Speaker 1: go and put the big headlines here. From the Democratic side, 1649 01:25:20,240 --> 01:25:23,880 Speaker 1: you've got Fetterman, who easily won from his hospital bed, 1650 01:25:24,160 --> 01:25:26,360 Speaker 1: won every single county in the state. He will be 1651 01:25:26,400 --> 01:25:29,520 Speaker 1: the Democrats Senate nominee. And then you have Josh Shapiro 1652 01:25:30,360 --> 01:25:34,439 Speaker 1: on the gubernatorial side in Pennsylvania. That's going to be 1653 01:25:34,920 --> 01:25:37,759 Speaker 1: a very closely watched race. Now, both of these candidates 1654 01:25:37,760 --> 01:25:40,439 Speaker 1: have one statewide before, so I think that matters. They're 1655 01:25:40,479 --> 01:25:43,920 Speaker 1: both relatively well known by Pennsylvania voters and relatively popular. 1656 01:25:44,400 --> 01:25:48,200 Speaker 1: Actually didn't know much about Josh Shapiro, so I was 1657 01:25:48,200 --> 01:25:50,680 Speaker 1: talking to Sarota about him, who apparently has known him 1658 01:25:50,720 --> 01:25:53,360 Speaker 1: for a very long time, and he's more impressive than 1659 01:25:53,400 --> 01:25:55,880 Speaker 1: I expected. So he was the one you guys might 1660 01:25:55,920 --> 01:25:58,479 Speaker 1: remember when he was ag of the state, he did 1661 01:25:58,520 --> 01:26:02,679 Speaker 1: the big report dig into the abuses within the Catholic Church, 1662 01:26:03,080 --> 01:26:06,280 Speaker 1: very difficult and very bravely at the time. He went 1663 01:26:06,400 --> 01:26:10,400 Speaker 1: after like you know, people who were exploiting students and 1664 01:26:10,520 --> 01:26:13,599 Speaker 1: like you know, charging them on fair amounts, and he 1665 01:26:13,680 --> 01:26:15,679 Speaker 1: was able to get a settlement there. He's gone after 1666 01:26:15,720 --> 01:26:19,200 Speaker 1: corporate merriae. So anyway, he's actually less of just a 1667 01:26:19,240 --> 01:26:21,400 Speaker 1: generic dem and has a little bit stronger of a 1668 01:26:21,400 --> 01:26:24,040 Speaker 1: footprint in the state and more of his own identity 1669 01:26:24,040 --> 01:26:27,760 Speaker 1: than I ultimately expected. And he also has gotten crosswise 1670 01:26:27,800 --> 01:26:30,320 Speaker 1: with Larry Krasmer, who's the Philly Krasner, who's the Philly 1671 01:26:30,400 --> 01:26:34,639 Speaker 1: DA who's been very aggressive in terms of criminal justice reform, 1672 01:26:35,080 --> 01:26:38,240 Speaker 1: and Shapiro has been on the sort of more moderate 1673 01:26:38,320 --> 01:26:41,000 Speaker 1: side of that divide, which could also bode well for 1674 01:26:41,080 --> 01:26:44,280 Speaker 1: him in the state. So both of them ultimately easily win. 1675 01:26:44,920 --> 01:26:46,400 Speaker 1: Let's go ahead and put this next piece up on 1676 01:26:46,400 --> 01:26:48,360 Speaker 1: the screen of part of the reason why I do 1677 01:26:48,479 --> 01:26:52,639 Speaker 1: think Fetterman is a formidable candidate, even as I continue 1678 01:26:52,680 --> 01:26:55,520 Speaker 1: to say, like the wins are very much against Democrats 1679 01:26:55,520 --> 01:26:57,400 Speaker 1: in all of these races, in all of these states. 1680 01:26:57,840 --> 01:27:00,600 Speaker 1: They describe here Fetterman's planned to win Pennsylvan taking his 1681 01:27:00,680 --> 01:27:04,800 Speaker 1: populous message to Trump country, and he says, they say 1682 01:27:04,840 --> 01:27:08,240 Speaker 1: in this article Fetterman is as idiosyncratic in substance as 1683 01:27:08,240 --> 01:27:10,479 Speaker 1: he is in style. In his campaign, he has dressed 1684 01:27:10,479 --> 01:27:13,240 Speaker 1: bread and butter issues. He supports fifteen dollar minimum wage, 1685 01:27:13,360 --> 01:27:16,080 Speaker 1: is firmly pro union, sells T shirts in favor of 1686 01:27:16,160 --> 01:27:20,320 Speaker 1: legalizing marijuana, endorse Bernie in his twenty sixteen campaign opposes 1687 01:27:20,439 --> 01:27:24,120 Speaker 1: COVID nineteen mask mandates. He criticized Philly for briefly reimposing 1688 01:27:24,120 --> 01:27:26,960 Speaker 1: one last month, and broke with Biden on immigration, saying 1689 01:27:26,960 --> 01:27:29,800 Speaker 1: the Trump era Title forty two policy should remain. Well, 1690 01:27:29,840 --> 01:27:31,600 Speaker 1: so I didn't even know that that's big. Yeah, So 1691 01:27:31,640 --> 01:27:34,960 Speaker 1: whatever you think of those policies, I think it's a 1692 01:27:35,080 --> 01:27:38,760 Speaker 1: very appealing package in terms of a swing state and 1693 01:27:38,840 --> 01:27:43,240 Speaker 1: how Pennsylvania is culturally positioned. And again, Fetterman has a 1694 01:27:43,280 --> 01:27:46,280 Speaker 1: lot of credibility in just you know, how he came up, 1695 01:27:46,640 --> 01:27:50,200 Speaker 1: how he connects and steel country everyman, sort of working 1696 01:27:50,240 --> 01:27:54,640 Speaker 1: class persona. So again, I think it's tough regardless of 1697 01:27:54,640 --> 01:27:57,320 Speaker 1: whether McCormick or Oz ends up as a Republican nominee. 1698 01:27:57,400 --> 01:28:00,440 Speaker 1: But I do think Democrats have put their best possible 1699 01:28:00,720 --> 01:28:05,160 Speaker 1: candidate in the race. I also have to say here, Sager, Yeah, 1700 01:28:05,240 --> 01:28:10,360 Speaker 1: Connor Lamb, congressman about to be former Congressman Conor lamm 1701 01:28:10,920 --> 01:28:14,559 Speaker 1: he is the vanquished candidate here. And to me that 1702 01:28:14,760 --> 01:28:18,519 Speaker 1: is very sweet because this guy, he was held up 1703 01:28:18,920 --> 01:28:22,719 Speaker 1: by the Democratic establishment. He's like this blue dog, totally 1704 01:28:22,840 --> 01:28:25,000 Speaker 1: corporate type. He was held up as like, oh, this 1705 01:28:25,080 --> 01:28:29,320 Speaker 1: is the next big thing. He got every mainstream endorsement, 1706 01:28:29,400 --> 01:28:32,120 Speaker 1: not even only nationally, but in the state. I saw 1707 01:28:32,160 --> 01:28:35,320 Speaker 1: some tweet on the list of Connor Lamb's endorsements versus 1708 01:28:35,320 --> 01:28:39,320 Speaker 1: like the eight people on the list of Fetterman's endorsements. 1709 01:28:39,720 --> 01:28:44,160 Speaker 1: And this guy didn't just lose, he got crushed like 1710 01:28:44,240 --> 01:28:47,120 Speaker 1: it was not close, and he lost to a man 1711 01:28:47,160 --> 01:28:52,360 Speaker 1: who was literally in a hospital bed getting Baker put 1712 01:28:52,400 --> 01:28:56,240 Speaker 1: in on the day of the election. So you know, 1713 01:28:56,360 --> 01:28:59,160 Speaker 1: it was a big rebuke, and not just in this one, 1714 01:28:59,200 --> 01:29:01,559 Speaker 1: but I'll go through a couple of others of the 1715 01:29:01,960 --> 01:29:05,800 Speaker 1: establishment sort of Joe Mansion wing of the Democratic Party. 1716 01:29:05,880 --> 01:29:09,519 Speaker 1: And in fact, voters told New York Times and other 1717 01:29:09,560 --> 01:29:13,840 Speaker 1: outlets that they saw Connor Lamb as quote, just another 1718 01:29:13,920 --> 01:29:16,679 Speaker 1: Joe Mansion. And so the fact that you have Mansion 1719 01:29:17,400 --> 01:29:21,120 Speaker 1: as this completely villainized figure in the Democratic Party now 1720 01:29:21,439 --> 01:29:24,439 Speaker 1: has made it so that people have a very visceral 1721 01:29:24,520 --> 01:29:27,680 Speaker 1: sense of what it means to be a centrist and 1722 01:29:27,720 --> 01:29:30,040 Speaker 1: they're not impressed with it. And I think that's a 1723 01:29:30,080 --> 01:29:32,320 Speaker 1: theme that comes up a couple of times. So he 1724 01:29:32,360 --> 01:29:35,200 Speaker 1: got endorsed by Mansion, he was bragging about it. It 1725 01:29:35,320 --> 01:29:38,120 Speaker 1: turned down that was the thing that Democratic base voters 1726 01:29:38,320 --> 01:29:42,240 Speaker 1: wanted nothing to do with another Joe Manson. That's very interesting. Actually, 1727 01:29:42,439 --> 01:29:44,720 Speaker 1: bo doesn't bode well for like a Kirsen cinema or 1728 01:29:44,760 --> 01:29:48,839 Speaker 1: any of that whenever election time comes. In terms of yeah, definitely. 1729 01:29:48,960 --> 01:29:51,920 Speaker 1: So I guess my real question, Look with Fetterman, who knows. 1730 01:29:52,000 --> 01:29:53,880 Speaker 1: I'm not saying the guy doesn't hold positions, but I've 1731 01:29:53,880 --> 01:29:56,280 Speaker 1: also said here he does not seem capable of opening 1732 01:29:56,320 --> 01:30:00,400 Speaker 1: his mouth without saying LGBTQ. And we'll see. I mean, look, 1733 01:30:00,439 --> 01:30:04,200 Speaker 1: he's gonna get hammered. And whoever McCormick or these people, 1734 01:30:04,200 --> 01:30:05,920 Speaker 1: they have a lot of money, both him and Oz. 1735 01:30:05,920 --> 01:30:09,320 Speaker 1: They're gonna blanket the state and try to paint him 1736 01:30:09,560 --> 01:30:12,840 Speaker 1: as another woke Democrat. Will it work? I mean, I 1737 01:30:12,880 --> 01:30:15,120 Speaker 1: don't think he does himself a lot of favors in 1738 01:30:15,200 --> 01:30:17,840 Speaker 1: terms of his primary campaign, especially in the latter times, 1739 01:30:18,120 --> 01:30:20,360 Speaker 1: because the guy was very clearly going to win, and 1740 01:30:20,400 --> 01:30:22,240 Speaker 1: if I was him, I would not have been going 1741 01:30:22,280 --> 01:30:24,400 Speaker 1: down that direction. I don't know. And this is also 1742 01:30:24,520 --> 01:30:27,439 Speaker 1: people I've spoken to who actually live in Pennsylvania. They 1743 01:30:27,439 --> 01:30:29,760 Speaker 1: all raise the same concern. They're like, I don't know, 1744 01:30:29,800 --> 01:30:32,759 Speaker 1: he seems like he might be too culturally far left. 1745 01:30:32,840 --> 01:30:35,639 Speaker 1: So like I said, Steel Country, no question, that's where 1746 01:30:35,640 --> 01:30:37,840 Speaker 1: his roots. But the more that he's gone statewide and 1747 01:30:37,880 --> 01:30:40,439 Speaker 1: more national appeal, he's become a lot more woke in 1748 01:30:40,479 --> 01:30:43,120 Speaker 1: his overall orientation. So this will be a big test 1749 01:30:43,200 --> 01:30:47,040 Speaker 1: also of populace economics versus a cultural message. I personally 1750 01:30:47,080 --> 01:30:50,120 Speaker 1: don't think it's gonna work, and like I said, national environment. 1751 01:30:50,640 --> 01:30:52,800 Speaker 1: Even so, this is the thing about Wolkens too. If 1752 01:30:52,800 --> 01:30:55,800 Speaker 1: Biden were popular by ten points, it wouldn't matter either, 1753 01:30:56,080 --> 01:30:57,960 Speaker 1: you know, in terms of the candidate, so like he 1754 01:30:58,040 --> 01:31:01,479 Speaker 1: still could win. This is I just think it goes national, 1755 01:31:01,760 --> 01:31:04,479 Speaker 1: then culture, and then we'll see exactly how it goes. 1756 01:31:04,520 --> 01:31:06,360 Speaker 1: But Biden overall is just going to be such a 1757 01:31:06,400 --> 01:31:09,400 Speaker 1: massive sink on everybody. But there are other Democratic candidates 1758 01:31:09,479 --> 01:31:11,240 Speaker 1: I know that you wanted to point to about who 1759 01:31:11,360 --> 01:31:15,320 Speaker 1: are who are also defeating the Democratic established. Yeah, well, 1760 01:31:15,360 --> 01:31:17,320 Speaker 1: I mean i'd have to see more specifically what you're 1761 01:31:17,320 --> 01:31:22,040 Speaker 1: referring to. In his language, he always says LGBT. It's 1762 01:31:22,040 --> 01:31:24,000 Speaker 1: like you said it like three times in an interview. 1763 01:31:24,600 --> 01:31:28,439 Speaker 1: Are popular though? Okay? Fine, Also remember too that is 1764 01:31:28,439 --> 01:31:32,080 Speaker 1: it on the ballotult But remember too that of course 1765 01:31:32,160 --> 01:31:34,000 Speaker 1: these rights are always on the ballot. I mean, it's 1766 01:31:34,040 --> 01:31:36,120 Speaker 1: a national election. Of course you have an impact on 1767 01:31:36,160 --> 01:31:38,000 Speaker 1: those things. But let me also say too that I 1768 01:31:38,000 --> 01:31:40,559 Speaker 1: think the cultural grounds have shifted to where there are 1769 01:31:40,560 --> 01:31:42,519 Speaker 1: going to be a lot more questions about abortion rights, 1770 01:31:42,880 --> 01:31:45,679 Speaker 1: where Fetterman is going to be much more in step 1771 01:31:45,760 --> 01:31:49,360 Speaker 1: with Yeah, that one's the population than the Republican Party 1772 01:31:49,439 --> 01:31:51,920 Speaker 1: is at this point. And I think he's helped too 1773 01:31:51,960 --> 01:31:54,320 Speaker 1: by the fact that Republicans have nominated someone who was 1774 01:31:54,400 --> 01:31:58,360 Speaker 1: so fringe for the gubernatorial candidate. So we'll see how 1775 01:31:58,400 --> 01:32:00,960 Speaker 1: it all ultimately shakes out. But there was another race 1776 01:32:01,000 --> 01:32:05,920 Speaker 1: that was very closely watched that pitted Summerly, who is 1777 01:32:06,360 --> 01:32:09,439 Speaker 1: sort of lefty Bernie Sanders type state rep in the 1778 01:32:09,479 --> 01:32:16,080 Speaker 1: Pittsburgh area, against this union busting lawyer literally on the 1779 01:32:16,120 --> 01:32:18,960 Speaker 1: other side, who was relatively unknown. And this is for 1780 01:32:19,000 --> 01:32:22,880 Speaker 1: an open congressional seat. And originally summer had been up 1781 01:32:22,920 --> 01:32:26,479 Speaker 1: by double digits, like twenty five points somewhere in that range, 1782 01:32:26,880 --> 01:32:32,479 Speaker 1: and so multiple of these anti Palestine, pro Israel groups 1783 01:32:32,960 --> 01:32:35,479 Speaker 1: came into the race, dropped three million dollars. This was 1784 01:32:35,479 --> 01:32:38,760 Speaker 1: the most money that they spent in any race, and 1785 01:32:39,760 --> 01:32:45,120 Speaker 1: clearly shifted the dynamic and really closed the gap here ultimately. 1786 01:32:45,160 --> 01:32:48,040 Speaker 1: And the ironic thing here too is that it was like, 1787 01:32:48,280 --> 01:32:51,599 Speaker 1: so Summer supports conditioning aid to Israel, which I also support, 1788 01:32:51,640 --> 01:32:54,599 Speaker 1: by the way, But they didn't run ads on that. 1789 01:32:55,200 --> 01:32:57,840 Speaker 1: They ran ads saying that she was like not a 1790 01:32:57,880 --> 01:33:00,320 Speaker 1: real Democrat and that she was going to try to 1791 01:33:00,400 --> 01:33:03,400 Speaker 1: undermine Joe Biden all of these sorts of things, which 1792 01:33:03,479 --> 01:33:06,080 Speaker 1: is exactly the playbook that they had run successfully against 1793 01:33:06,160 --> 01:33:08,000 Speaker 1: Mina Turner in the past. Of course, Anna had said 1794 01:33:08,040 --> 01:33:10,519 Speaker 1: that like half a bullishit comment, which didn't help her 1795 01:33:11,120 --> 01:33:12,880 Speaker 1: and help them to be able to make that case. 1796 01:33:13,240 --> 01:33:18,120 Speaker 1: So they spent millions on this race and as of now, 1797 01:33:18,400 --> 01:33:20,519 Speaker 1: and this is one that's definitely going to a recount 1798 01:33:20,520 --> 01:33:24,040 Speaker 1: because the margin is so narrow, Summer managed to eke 1799 01:33:24,080 --> 01:33:27,160 Speaker 1: this thing out by a few hundred votes, Like it 1800 01:33:27,360 --> 01:33:30,880 Speaker 1: is as close as it possibly could be. So she 1801 01:33:31,040 --> 01:33:34,760 Speaker 1: will be a new Squad member, and I think she'll 1802 01:33:34,800 --> 01:33:38,800 Speaker 1: be very well known nationally, not just because she's going 1803 01:33:38,840 --> 01:33:40,200 Speaker 1: to be another edition to the Squad. This is a 1804 01:33:40,240 --> 01:33:42,960 Speaker 1: blue district. It certainly will be the Democrat who you know, 1805 01:33:43,080 --> 01:33:46,000 Speaker 1: ultimately wins in the fall, but also because she definitely 1806 01:33:46,000 --> 01:33:48,560 Speaker 1: has a presence and a charisma, and I wanted to 1807 01:33:48,560 --> 01:33:49,840 Speaker 1: give you guys a little bit of a sense of 1808 01:33:49,880 --> 01:33:51,479 Speaker 1: that because I think you'll be hearing more from her 1809 01:33:51,600 --> 01:33:53,840 Speaker 1: in the future. This is a little bit of her 1810 01:33:54,120 --> 01:33:56,640 Speaker 1: victory speech on the night of the election, and I 1811 01:33:56,680 --> 01:33:59,360 Speaker 1: also thought it was interesting how she really carried a 1812 01:33:59,439 --> 01:34:02,479 Speaker 1: largely postus message as while talking about the multiracial working 1813 01:34:02,479 --> 01:34:04,120 Speaker 1: class and a lot of bread and butter issues. Let's 1814 01:34:04,120 --> 01:34:07,880 Speaker 1: take a listen to that we live here and when 1815 01:34:08,040 --> 01:34:10,240 Speaker 1: we clean they would never be able to say that 1816 01:34:10,360 --> 01:34:13,320 Speaker 1: we can't win on the battle of or working people. 1817 01:34:15,240 --> 01:34:19,000 Speaker 1: And we can't say we can't win now llenaerically want 1818 01:34:28,680 --> 01:34:36,960 Speaker 1: panication for every single town. They can't say that one 1819 01:34:37,040 --> 01:34:43,559 Speaker 1: when I can't win, can't wait today we're going throughout 1820 01:34:43,640 --> 01:34:47,160 Speaker 1: this race, that when we build coalitions, that when we 1821 01:34:47,439 --> 01:34:50,719 Speaker 1: cross all over the county, when we cross and build 1822 01:34:50,760 --> 01:34:54,800 Speaker 1: a multi racial, multi generational movement of people of all 1823 01:34:54,880 --> 01:34:58,360 Speaker 1: religious and all genders and law racists, our angels, that 1824 01:34:58,439 --> 01:35:09,040 Speaker 1: when we come together we can he stopped. And everyone, 1825 01:35:09,200 --> 01:35:27,280 Speaker 1: you know what, you every single We're gonna everything right. 1826 01:35:28,400 --> 01:35:30,920 Speaker 1: And I just have such a gratitude people. We got 1827 01:35:30,920 --> 01:35:36,840 Speaker 1: a lot of so it looks like she eats it down, 1828 01:35:36,920 --> 01:35:38,880 Speaker 1: Like I said, go into a recount. But that was 1829 01:35:39,000 --> 01:35:41,240 Speaker 1: just one. You'll be hearing more from her, no doubt. 1830 01:35:41,400 --> 01:35:43,680 Speaker 1: That was just one of us string of pretty significant 1831 01:35:43,720 --> 01:35:45,320 Speaker 1: victories for the left though. I mean, you got a 1832 01:35:45,439 --> 01:35:48,839 Speaker 1: count Fetterman in that dispatching with Connor Lamb. Connor Lamb's 1833 01:35:48,960 --> 01:35:52,240 Speaker 1: seat now is open open, and in the primary, Bernie 1834 01:35:52,320 --> 01:35:56,320 Speaker 1: Delegate also prevailed in his district. You also had let's 1835 01:35:56,320 --> 01:35:57,880 Speaker 1: go ahead and put this next one up on the screen. 1836 01:35:58,680 --> 01:36:01,600 Speaker 1: Looks like this is final yet because it's Oregon and 1837 01:36:01,640 --> 01:36:03,040 Speaker 1: it takes a long time for the mail in ballots 1838 01:36:03,080 --> 01:36:06,240 Speaker 1: to come in. But it looks like Kurt Schrader, who 1839 01:36:06,680 --> 01:36:08,760 Speaker 1: was described as the Joe Mansion of the House, has 1840 01:36:08,880 --> 01:36:13,120 Speaker 1: lost to a progressive challenger, Jamie McLoud Skinner. This is 1841 01:36:13,200 --> 01:36:16,320 Speaker 1: a major upset. I mean, this is an incumbent Democrat 1842 01:36:16,640 --> 01:36:21,320 Speaker 1: who the establishment went all in for. Joe Biden endorses him, 1843 01:36:21,920 --> 01:36:25,360 Speaker 1: and it looks like he's getting waxed by Jamie McLeod Skinner, 1844 01:36:25,960 --> 01:36:29,000 Speaker 1: who you know, ran with the grassroots backing in support. 1845 01:36:29,240 --> 01:36:31,160 Speaker 1: I also watched one of her ads, and I don't 1846 01:36:31,160 --> 01:36:33,840 Speaker 1: know much about the entirety of how she ran her campaigns, however, 1847 01:36:33,960 --> 01:36:38,160 Speaker 1: but the ad that I watched went just eviscerated Schrader 1848 01:36:38,320 --> 01:36:41,560 Speaker 1: on his pharmatize. This is the dude one of the 1849 01:36:41,720 --> 01:36:45,120 Speaker 1: key players in terms of killing the Medicare prescription drug 1850 01:36:45,200 --> 01:36:49,920 Speaker 1: pricing reforms, and she just hammered him for that in 1851 01:36:50,080 --> 01:36:52,680 Speaker 1: this ad. So again a populist appeal that seems to 1852 01:36:52,720 --> 01:36:55,680 Speaker 1: have worked out in this primary. And it's so humiliating 1853 01:36:55,720 --> 01:36:57,760 Speaker 1: for Joe Biden that you wade into this race. He 1854 01:36:57,800 --> 01:37:00,880 Speaker 1: hasn't made many endorsements. You wade into this endorse this guy, who, 1855 01:37:00,920 --> 01:37:02,680 Speaker 1: by the way, is stab you and your agenda in 1856 01:37:02,720 --> 01:37:06,559 Speaker 1: the back, and you still like have zero impact ultimately 1857 01:37:06,640 --> 01:37:09,840 Speaker 1: in the race. There's another interesting one, This one we 1858 01:37:09,880 --> 01:37:12,559 Speaker 1: should probably talk about more at another date because it's 1859 01:37:12,560 --> 01:37:15,880 Speaker 1: a whole layered conversation. But we had talked to Ryan 1860 01:37:15,920 --> 01:37:20,599 Speaker 1: Grimm before about this crypto billionaire who's throwing his weight 1861 01:37:20,680 --> 01:37:22,920 Speaker 1: around to the two to millions in a lot of 1862 01:37:22,960 --> 01:37:26,360 Speaker 1: congressional primaries, especially in particular on the Democratic side. Let's 1863 01:37:26,360 --> 01:37:28,599 Speaker 1: gohead and put this tear sheet up on the screen. Well, 1864 01:37:28,680 --> 01:37:34,320 Speaker 1: his candidate that he spent something like thirteen million dollars 1865 01:37:34,880 --> 01:37:40,960 Speaker 1: to back, lost and it wasn't even close to another 1866 01:37:41,240 --> 01:37:46,000 Speaker 1: progressive word candidate. I mean, it was brutal, like they 1867 01:37:46,040 --> 01:37:51,120 Speaker 1: spent thirteen million dollars to try to try to push 1868 01:37:51,200 --> 01:37:54,200 Speaker 1: forward this sort of like crypto backed candidate. And this 1869 01:37:54,439 --> 01:37:57,800 Speaker 1: is also interesting. Not only did the crypto pack come 1870 01:37:57,880 --> 01:38:00,559 Speaker 1: in for this dude, but the House Majority pre pack 1871 01:38:01,400 --> 01:38:04,240 Speaker 1: put a million plus into this race, which is an 1872 01:38:04,240 --> 01:38:06,120 Speaker 1: open primer, like what are you doing? Why are you 1873 01:38:06,160 --> 01:38:09,120 Speaker 1: getting involved in this race at all. Meanwhile, they didn't 1874 01:38:09,240 --> 01:38:11,800 Speaker 1: back Trader, who was an incumbent who probably had a 1875 01:38:11,840 --> 01:38:15,639 Speaker 1: better chance of winning. So the crypto billionaire also goes 1876 01:38:15,680 --> 01:38:19,120 Speaker 1: down to defeat. There were a couple of lefty challenger 1877 01:38:19,560 --> 01:38:22,320 Speaker 1: candidates in North Carolina who also had those millions from 1878 01:38:22,360 --> 01:38:26,280 Speaker 1: the Israeli Israel pro Israel packs come in that did 1879 01:38:26,600 --> 01:38:29,240 Speaker 1: end up in defeat. But overall, I think when you 1880 01:38:29,320 --> 01:38:31,280 Speaker 1: look at this, it comes back to what I said earlier, 1881 01:38:31,360 --> 01:38:34,800 Speaker 1: which is that the Democratic base is really disgusted with 1882 01:38:34,920 --> 01:38:37,840 Speaker 1: Joe Manchin, and when you can tie a centrist or 1883 01:38:37,880 --> 01:38:41,880 Speaker 1: Corportis candidate to Mansion, it is a really devastating blow 1884 01:38:42,000 --> 01:38:44,080 Speaker 1: to their electoral chances. And this has got to be 1885 01:38:44,120 --> 01:38:47,720 Speaker 1: a real rebuke of the Biden administration and the way 1886 01:38:47,800 --> 01:38:50,200 Speaker 1: that they have failed to really deliver on their key 1887 01:38:50,240 --> 01:38:52,360 Speaker 1: promises across the board. Yeah, it's interesting. You know that 1888 01:38:52,560 --> 01:38:55,280 Speaker 1: Oregon district in particular, the one of Court Trader that 1889 01:38:55,520 --> 01:38:57,439 Speaker 1: is actually a little bit of a conservative district. So 1890 01:38:57,520 --> 01:38:59,439 Speaker 1: it's going to be a good test case of you know, 1891 01:38:59,520 --> 01:39:02,760 Speaker 1: progressive rhetoric on whether the guys in a GOP area. 1892 01:39:02,840 --> 01:39:04,599 Speaker 1: I know some people from the area and they think 1893 01:39:04,640 --> 01:39:06,400 Speaker 1: that Kurt was basically the only guy who could win that. 1894 01:39:06,560 --> 01:39:09,080 Speaker 1: But at the same time, you know, like you said, Crystal, 1895 01:39:09,320 --> 01:39:12,960 Speaker 1: the Democratic base is just not happy here with Joe Biden. 1896 01:39:13,200 --> 01:39:14,960 Speaker 1: So they're kind of in a real pickle where their 1897 01:39:15,000 --> 01:39:18,120 Speaker 1: own base is turning against them, but that they're not. Look, 1898 01:39:18,200 --> 01:39:20,320 Speaker 1: they have to nominate candidates then who can also win 1899 01:39:20,880 --> 01:39:22,880 Speaker 1: not only with the base but with everybody else. So 1900 01:39:23,040 --> 01:39:25,960 Speaker 1: really is it's a top situation for the Democratic establish 1901 01:39:25,960 --> 01:39:27,640 Speaker 1: but we just hate to see it. Also in the 1902 01:39:27,680 --> 01:39:30,320 Speaker 1: crypto community, with there are these things called top signals, 1903 01:39:30,439 --> 01:39:32,320 Speaker 1: as in like that means we're officially at the top. 1904 01:39:32,360 --> 01:39:36,280 Speaker 1: I think Sam Bankman Freed having serious losses is a 1905 01:39:36,640 --> 01:39:39,920 Speaker 1: very big top signal for people. It's like, all right, 1906 01:39:40,320 --> 01:39:43,640 Speaker 1: it's peaked. We all need to get out, all right. 1907 01:39:43,800 --> 01:39:45,600 Speaker 1: This is a very important story. So this is the 1908 01:39:45,720 --> 01:39:49,640 Speaker 1: DHS Secretary or the DHS Ministry of Truth. Now there 1909 01:39:49,680 --> 01:39:51,840 Speaker 1: are two sides to this story. Both the fact and 1910 01:39:51,960 --> 01:39:54,599 Speaker 1: the headline is it's shutting down. So that's good news 1911 01:39:54,880 --> 01:40:00,679 Speaker 1: for all of us. But the Misinformation for Disinformation Board 1912 01:40:01,680 --> 01:40:04,680 Speaker 1: also known as the Ministry of Truth. Here's what's interesting though. 1913 01:40:04,840 --> 01:40:07,080 Speaker 1: Here's how the Washington Post reported it. Let's put this 1914 01:40:07,200 --> 01:40:10,880 Speaker 1: up there on the screen. Taylor Lorenz, of course, is 1915 01:40:10,920 --> 01:40:13,160 Speaker 1: the one who got the scoop. She says how the 1916 01:40:13,240 --> 01:40:18,040 Speaker 1: Biden administration let right wing attacks derail its disinformation efforts. 1917 01:40:18,360 --> 01:40:21,320 Speaker 1: A quote unquote pause of the DHS newly created board 1918 01:40:21,520 --> 01:40:24,200 Speaker 1: comes after its head Nina Jankowitz, was the victim of 1919 01:40:24,320 --> 01:40:29,040 Speaker 1: coordinated online attacks as the administration struggled to respond. As 1920 01:40:29,120 --> 01:40:30,840 Speaker 1: you said at the top of our show, what the 1921 01:40:30,960 --> 01:40:33,960 Speaker 1: hell is going on? At the Washington Post, The clear 1922 01:40:34,240 --> 01:40:38,519 Speaker 1: headline news of this is Biden administration quote unquote pausing 1923 01:40:38,680 --> 01:40:42,599 Speaker 1: aka shutting down the Disinformation Governance Board as a result 1924 01:40:42,680 --> 01:40:46,200 Speaker 1: of public outcry. Just say that. You can even characterize 1925 01:40:46,240 --> 01:40:48,400 Speaker 1: it as a bad faith right wing attack in your 1926 01:40:48,479 --> 01:40:51,559 Speaker 1: copy if you want to why is not the head 1927 01:40:52,200 --> 01:40:54,240 Speaker 1: Look I'm saying by the Washington Post standards. Yeah, I'm 1928 01:40:54,280 --> 01:40:56,640 Speaker 1: not saying I don't think it's my issue. That's my 1929 01:40:56,800 --> 01:41:00,800 Speaker 1: issue is it's just not even factually accurate. Yes, there 1930 01:41:00,920 --> 01:41:03,040 Speaker 1: was a lot of right wing criticism of her. There 1931 01:41:03,160 --> 01:41:06,120 Speaker 1: was also left wing criticism of this thing. There was 1932 01:41:06,200 --> 01:41:11,240 Speaker 1: also civil libertarian and civil liberties groups that criticized this board. 1933 01:41:11,680 --> 01:41:13,479 Speaker 1: So to just say, oh, this is a right wing 1934 01:41:13,520 --> 01:41:16,960 Speaker 1: smeark that's not even accurate, Like if you're just going 1935 01:41:17,000 --> 01:41:19,160 Speaker 1: by the facts and you're supposed to be reporting the news, 1936 01:41:19,680 --> 01:41:21,479 Speaker 1: I mean a lot of people have concerns over this, 1937 01:41:21,600 --> 01:41:23,160 Speaker 1: and you know, I mean, at this day, you know, 1938 01:41:23,240 --> 01:41:25,519 Speaker 1: even saying free speech is apparently coded right wing. But 1939 01:41:25,720 --> 01:41:28,080 Speaker 1: I'm saying, even within their twisted framework, this is a 1940 01:41:28,200 --> 01:41:31,599 Speaker 1: terrible story. So the background of all of this, obviously, 1941 01:41:31,800 --> 01:41:35,040 Speaker 1: Nina JANKOWITCHI worked at the Wilson Board. I played that cringeworthy, 1942 01:41:35,520 --> 01:41:40,160 Speaker 1: that cringeworthy video of her, you know, singing Mary Poppins 1943 01:41:40,240 --> 01:41:43,880 Speaker 1: about disinformation and how it's quite atrocious. It's one of 1944 01:41:43,920 --> 01:41:46,519 Speaker 1: the worst most cringeworthy videos I've ever seen. As I said, 1945 01:41:46,720 --> 01:41:48,800 Speaker 1: all as a former theater kid, we need to see 1946 01:41:48,880 --> 01:41:52,599 Speaker 1: theater kids mugged by reality. So she is somebody who 1947 01:41:52,680 --> 01:41:55,000 Speaker 1: needs to have that appened to her, and it finally has. 1948 01:41:55,160 --> 01:41:58,400 Speaker 1: So Nina, please quit the moaning myrtle band in Harry 1949 01:41:58,439 --> 01:42:02,200 Speaker 1: Potter fan fiction, quit the Mary Poppins tiktoks, grow up 1950 01:42:02,200 --> 01:42:04,760 Speaker 1: a little bit. Now. Exactly what happened here is that 1951 01:42:04,920 --> 01:42:07,840 Speaker 1: the Washington Post, though, is reporting that this is a 1952 01:42:07,960 --> 01:42:11,200 Speaker 1: result of the Biden administration folding to these quote unquote 1953 01:42:11,280 --> 01:42:13,400 Speaker 1: right wing attacks. And what I love is that they 1954 01:42:13,479 --> 01:42:16,920 Speaker 1: actually quote a group within this Crystal who characterizes this 1955 01:42:17,040 --> 01:42:20,240 Speaker 1: as a right wing attack, as the group itself which 1956 01:42:20,400 --> 01:42:24,040 Speaker 1: funded the p Tape Steele dossier. Well, so I'm like, 1957 01:42:24,320 --> 01:42:27,639 Speaker 1: you are literally quoting a group which funded and pushed 1958 01:42:27,720 --> 01:42:32,280 Speaker 1: official disinformation and quoting it and saying that this is 1959 01:42:32,320 --> 01:42:34,240 Speaker 1: a result of a right wing attack against the so 1960 01:42:34,439 --> 01:42:37,720 Speaker 1: called disinformation board. Just call this what it is. It's 1961 01:42:37,760 --> 01:42:42,160 Speaker 1: a censorship board. You want establishment liberal point of views 1962 01:42:42,360 --> 01:42:45,280 Speaker 1: to dominate in the United States, government and on technology 1963 01:42:45,320 --> 01:42:48,200 Speaker 1: platforms have to control the flow of information because you 1964 01:42:48,280 --> 01:42:51,519 Speaker 1: don't trust citizens to make up their minds. But they 1965 01:42:51,720 --> 01:42:53,320 Speaker 1: can't just come out right and say that, so that 1966 01:42:53,439 --> 01:42:55,519 Speaker 1: the frame it is like, oh, we have all these concerns, 1967 01:42:55,720 --> 01:42:57,479 Speaker 1: and we've played all those videos before where she's like, 1968 01:42:57,479 --> 01:42:59,920 Speaker 1: it's actually liberals who are the ones who get censored, 1969 01:43:00,040 --> 01:43:01,679 Speaker 1: And it's like, no, as we said, it's not liberals, 1970 01:43:01,720 --> 01:43:03,680 Speaker 1: it's leftists to the extent that anybody on the left 1971 01:43:03,720 --> 01:43:07,599 Speaker 1: gets censored whatsoever. And actually it's mainly dissonant voices left 1972 01:43:07,640 --> 01:43:09,400 Speaker 1: and right who are always the ones who are being 1973 01:43:09,479 --> 01:43:11,719 Speaker 1: kept out of here. So I just think it shows 1974 01:43:11,760 --> 01:43:15,719 Speaker 1: you very clearly that the press is on the side 1975 01:43:16,080 --> 01:43:18,920 Speaker 1: of the Disinformation Governance Board because they don't believe in 1976 01:43:19,000 --> 01:43:21,519 Speaker 1: parsing that and they actually have an official point of 1977 01:43:21,600 --> 01:43:25,000 Speaker 1: view as Taylor Lorenz does that she wants to dominate 1978 01:43:25,120 --> 01:43:27,200 Speaker 1: on the Internet. So there's a lot of troubling things 1979 01:43:27,240 --> 01:43:29,519 Speaker 1: that are happening with this, but you know, God bless, 1980 01:43:29,600 --> 01:43:32,080 Speaker 1: I'm glad it's gone. There is so much to say 1981 01:43:32,080 --> 01:43:34,960 Speaker 1: about this article. First of all, she doesn't even mention 1982 01:43:35,080 --> 01:43:37,439 Speaker 1: the fact that one of the primary issues that people 1983 01:43:37,520 --> 01:43:40,160 Speaker 1: took with Nina Jankowitz is that she herself was a 1984 01:43:40,240 --> 01:43:45,720 Speaker 1: purveyor of significant right misinformation, including buying into the hole like, oh, 1985 01:43:45,840 --> 01:43:49,920 Speaker 1: it's the hunter laptop story is just like Russian disinformation. 1986 01:43:50,880 --> 01:43:55,160 Speaker 1: So that's number one. Number two, she goes to great 1987 01:43:55,360 --> 01:43:59,679 Speaker 1: lengths to try to convince the audience in this piece 1988 01:44:00,200 --> 01:44:04,040 Speaker 1: that these were coordinated attacks. And I think that language 1989 01:44:04,160 --> 01:44:07,560 Speaker 1: is very intentional, because if it's a coordinated attack like 1990 01:44:07,640 --> 01:44:10,000 Speaker 1: that sounds really nefarious, then you start thinking about bot 1991 01:44:10,120 --> 01:44:12,280 Speaker 1: farms and oh, this is some like, you know, this 1992 01:44:12,439 --> 01:44:15,280 Speaker 1: is some underhand and dirty trick to take down a 1993 01:44:15,360 --> 01:44:18,320 Speaker 1: good woman, when in reality, even what she tracks here 1994 01:44:18,400 --> 01:44:21,280 Speaker 1: is just there was a big account that posted something 1995 01:44:21,360 --> 01:44:24,439 Speaker 1: critical of the board and of Djankowitz. It struck a 1996 01:44:24,520 --> 01:44:26,720 Speaker 1: nerve and people did what they do on Twitter and 1997 01:44:26,840 --> 01:44:30,200 Speaker 1: they talked about it. That's not a coordinated attack. That's 1998 01:44:30,280 --> 01:44:33,080 Speaker 1: just how Twitter works. And if you didn't expect that, 1999 01:44:33,240 --> 01:44:35,639 Speaker 1: you would be mocked for your like, you know, cringe 2000 01:44:35,720 --> 01:44:38,599 Speaker 1: Mary Poppins video. I don't know what world you're ultimately 2001 01:44:38,720 --> 01:44:41,640 Speaker 1: living in. You could Also there's the dishonesty of just 2002 01:44:41,720 --> 01:44:43,960 Speaker 1: framing this as coming from the right, which listen, a 2003 01:44:44,000 --> 01:44:45,439 Speaker 1: lot of it came from the right, but it was 2004 01:44:45,520 --> 01:44:48,679 Speaker 1: not exclusively from the right. That also is very dishonest 2005 01:44:48,760 --> 01:44:51,640 Speaker 1: within this piece. And then the issue that I consistently 2006 01:44:51,760 --> 01:44:54,360 Speaker 1: have with Taylor Lorenz is you know what if you 2007 01:44:54,520 --> 01:44:58,280 Speaker 1: want to write this as an opinion piece. Fine, I 2008 01:44:58,360 --> 01:45:02,280 Speaker 1: don't agree with it titled to your perspective. This is 2009 01:45:02,439 --> 01:45:07,439 Speaker 1: framed as a news article. It is based in zero facts. 2010 01:45:07,800 --> 01:45:11,799 Speaker 1: It is so it is pure propaganda. And she tries 2011 01:45:11,880 --> 01:45:14,760 Speaker 1: to convince people that there was this coordinated plot which 2012 01:45:14,920 --> 01:45:19,840 Speaker 1: did not exist. So that is really really disingenuous. And 2013 01:45:19,960 --> 01:45:22,559 Speaker 1: to the point of, like the pieces that she leaves out, 2014 01:45:22,560 --> 01:45:24,200 Speaker 1: go ahead, put this New York Post piece up on 2015 01:45:24,240 --> 01:45:26,439 Speaker 1: the screen, which you know, New York Post was actually 2016 01:45:26,560 --> 01:45:29,920 Speaker 1: way more honest here in their portrayal, and they say 2017 01:45:30,640 --> 01:45:35,360 Speaker 1: that Biden puts disinfo Mary Poppins on Ice, which is funny, 2018 01:45:35,680 --> 01:45:38,320 Speaker 1: but they actually have the honesty to point out that, 2019 01:45:39,040 --> 01:45:41,920 Speaker 1: you know, among other things, she had the terrible idea 2020 01:45:42,360 --> 01:45:47,879 Speaker 1: of letting verified so blue check Twitter users edit other users' tweets. 2021 01:45:48,479 --> 01:45:51,080 Speaker 1: Terrible idea that we're getting from this quote unquote expert 2022 01:45:51,160 --> 01:45:55,040 Speaker 1: on misinformation. She repeatedly tried to spread doubt about New 2023 01:45:55,120 --> 01:45:58,000 Speaker 1: York Posts reporting about Hunter Biden's Centrrey's laptop, telling the 2024 01:45:58,040 --> 01:45:59,920 Speaker 1: AP in October that it should be viewed as a 2025 01:46:00,080 --> 01:46:04,160 Speaker 1: Trump campaign product. She also pushed the sense dis debunked 2026 01:46:04,240 --> 01:46:06,519 Speaker 1: claim in twenty sixteen that then presidential can at Donald 2027 01:46:06,520 --> 01:46:08,639 Speaker 1: Trump had a tie to Kremlin link to Alpha Bank, 2028 01:46:08,880 --> 01:46:10,840 Speaker 1: an allegation at the center of an ongoing trial of 2029 01:46:10,880 --> 01:46:14,960 Speaker 1: the Clinton campaign lawyer. So all of that is fair game. 2030 01:46:15,960 --> 01:46:17,639 Speaker 1: All of it is fair game. I'm not a big 2031 01:46:17,680 --> 01:46:19,640 Speaker 1: fan of like digging up everybody's old tweets and like 2032 01:46:19,720 --> 01:46:21,720 Speaker 1: judging them for life. But when it's relevant to the 2033 01:46:21,840 --> 01:46:25,360 Speaker 1: job that you have been appointed to, yeah, that actually matters. 2034 01:46:25,520 --> 01:46:27,600 Speaker 1: And of course, the last thing I'll say about this 2035 01:46:28,000 --> 01:46:30,439 Speaker 1: that really irritated me about this entire conversation, not just 2036 01:46:30,520 --> 01:46:34,000 Speaker 1: Taylor Lorens, but especially Taylor Runs is she tries to 2037 01:46:34,080 --> 01:46:36,960 Speaker 1: have it both ways. She tries to say, I don't 2038 01:46:37,000 --> 01:46:38,680 Speaker 1: know what people were worried about. This board was no 2039 01:46:38,760 --> 01:46:41,240 Speaker 1: big deal. They didn't have any real authority. And also 2040 01:46:41,400 --> 01:46:43,840 Speaker 1: though frame it is like this is some grave blow 2041 01:46:44,040 --> 01:46:46,840 Speaker 1: to the fight for truth. You can't have it both ways. 2042 01:46:47,080 --> 01:46:48,679 Speaker 1: Either the board was no big deal and you don't 2043 01:46:48,680 --> 01:46:51,160 Speaker 1: know what people cared about it, or this is a 2044 01:46:51,479 --> 01:46:54,000 Speaker 1: this is a big deal. It has significant power, and 2045 01:46:54,080 --> 01:46:56,120 Speaker 1: so it really matters whether it happens or not. You 2046 01:46:56,200 --> 01:46:58,000 Speaker 1: can't have it both ways. That's a very Actually I 2047 01:46:58,040 --> 01:46:59,960 Speaker 1: didn't think about it that way, but it's very important. 2048 01:47:00,120 --> 01:47:01,880 Speaker 1: So it's like, you see, there was a fake board 2049 01:47:01,960 --> 01:47:04,240 Speaker 1: that didn't matter, or this is a big deal that 2050 01:47:04,360 --> 01:47:06,400 Speaker 1: she's been taken down, and right, you know, here's the 2051 01:47:06,479 --> 01:47:08,760 Speaker 1: other thing too. It's not like the Biden administration is 2052 01:47:08,880 --> 01:47:12,920 Speaker 1: all of that responsive to criticism. This obviously folded, not 2053 01:47:13,080 --> 01:47:15,599 Speaker 1: because I think of just public outcry, but I think 2054 01:47:15,680 --> 01:47:17,800 Speaker 1: anybody on the merits could look at this woman, what 2055 01:47:17,960 --> 01:47:19,680 Speaker 1: she has said and say, yeah, this is just a 2056 01:47:19,720 --> 01:47:21,439 Speaker 1: bad fit. This is just not going You're not going 2057 01:47:21,479 --> 01:47:24,599 Speaker 1: to be a neutral actor exactly. You be a neutral actor. 2058 01:47:24,720 --> 01:47:27,799 Speaker 1: You can't be arbiting information for the United States government 2059 01:47:27,920 --> 01:47:31,400 Speaker 1: whenever you are such a clearly partisan actor. It's not 2060 01:47:31,880 --> 01:47:35,679 Speaker 1: just folding to politics, folding to attacks on the merits. 2061 01:47:35,840 --> 01:47:37,720 Speaker 1: It was a terrible idea to have it in the 2062 01:47:37,760 --> 01:47:40,360 Speaker 1: first place, and it was a terrible idea in order 2063 01:47:40,400 --> 01:47:42,800 Speaker 1: to hire her. So it folding is a victory. And 2064 01:47:42,880 --> 01:47:45,679 Speaker 1: I think that anybody in the press should not want 2065 01:47:45,800 --> 01:47:48,800 Speaker 1: a disinformation government's board period. So the fact that they 2066 01:47:48,840 --> 01:47:51,240 Speaker 1: are using and defending it, and that it's Tailor in 2067 01:47:51,320 --> 01:47:53,960 Speaker 1: particular that makes it somebody who's a proponent of it 2068 01:47:54,280 --> 01:47:57,679 Speaker 1: just shows you their actual ideology and their I want 2069 01:47:58,000 --> 01:48:00,840 Speaker 1: the government to be responsive to public Yeah, I wish 2070 01:48:01,160 --> 01:48:05,720 Speaker 1: they rarely are. They actually were responsive to public criticism here, 2071 01:48:05,840 --> 01:48:07,760 Speaker 1: and that is a very good thing.