1 00:00:03,200 --> 00:00:03,960 Speaker 1: Hey guys. 2 00:00:04,080 --> 00:00:07,160 Speaker 2: Here we are back on normally the show with normalish 3 00:00:07,160 --> 00:00:08,920 Speaker 2: takes for when the news gets weird. I am Mary 4 00:00:08,960 --> 00:00:09,560 Speaker 2: Katherine Ham. 5 00:00:09,680 --> 00:00:12,840 Speaker 3: And I'm Carol Markolitz. How's it going, Mary Catherine. 6 00:00:12,600 --> 00:00:13,200 Speaker 1: It's going all right. 7 00:00:13,280 --> 00:00:16,640 Speaker 2: The University of Georgia Bulldogs are SEC champions and going 8 00:00:16,720 --> 00:00:19,680 Speaker 2: to a playoff that does not include Alabama, So sorry, 9 00:00:19,680 --> 00:00:20,400 Speaker 2: Alabama fans. 10 00:00:20,440 --> 00:00:22,439 Speaker 1: I know I'm taking a cheap shot at this moment. 11 00:00:22,239 --> 00:00:24,600 Speaker 2: In your life, but it's like one of the first 12 00:00:24,600 --> 00:00:26,400 Speaker 2: times that this has happened to y'all. 13 00:00:27,040 --> 00:00:29,880 Speaker 3: I am very happy for the sports ball whatever this means. 14 00:00:30,120 --> 00:00:32,320 Speaker 2: You're celebrating with me. My Ki's watched it with me 15 00:00:32,360 --> 00:00:33,960 Speaker 2: and they have about the same take on it as 16 00:00:34,040 --> 00:00:37,400 Speaker 2: you do. But I felt their solidarity with me exactly. 17 00:00:37,479 --> 00:00:40,200 Speaker 3: Actually, I would say that my kids and I root 18 00:00:40,240 --> 00:00:42,440 Speaker 3: for Georgia because of you, but also because of that 19 00:00:42,560 --> 00:00:45,159 Speaker 3: song where the girl falls in love with somebody from 20 00:00:45,200 --> 00:00:49,080 Speaker 3: Tennessee and then starts wearing his Tennessee stuff, And my 21 00:00:49,159 --> 00:00:52,880 Speaker 3: kids are just like, that is not done. No switch 22 00:00:53,000 --> 00:00:55,080 Speaker 3: team allegiances because we get married. 23 00:00:55,080 --> 00:00:55,760 Speaker 1: That's crazy. 24 00:00:56,080 --> 00:00:59,040 Speaker 2: That song is called Tennessee Orange and it is a travesty. 25 00:00:59,160 --> 00:01:03,160 Speaker 2: And your children are correct, they have the correct moral compass. 26 00:01:03,240 --> 00:01:05,959 Speaker 2: It's right, and I can't believe that it's about a 27 00:01:05,959 --> 00:01:09,080 Speaker 2: Georgia football fan and a female Georgia football fan, which 28 00:01:09,080 --> 00:01:10,640 Speaker 2: makes me it's like. 29 00:01:10,600 --> 00:01:12,880 Speaker 1: A pox on my house and I don't appreciate it. 30 00:01:13,560 --> 00:01:15,720 Speaker 3: Right. I think that song attacks you personally. 31 00:01:15,920 --> 00:01:19,360 Speaker 2: It sort of does, like girl, pull it together. You 32 00:01:19,400 --> 00:01:21,039 Speaker 2: don't have to wear that color orange. You have a 33 00:01:21,040 --> 00:01:22,320 Speaker 2: beautiful flowering red. 34 00:01:22,160 --> 00:01:23,600 Speaker 1: That you can exactly right. 35 00:01:23,840 --> 00:01:26,959 Speaker 3: So, as we're recording this, just a few minutes ago, 36 00:01:27,480 --> 00:01:30,959 Speaker 3: the charges against Daniel Penny were dismissed in New York. 37 00:01:31,280 --> 00:01:34,080 Speaker 3: Daniel Penny, for those who don't know, is the man 38 00:01:34,120 --> 00:01:37,520 Speaker 3: on the subway who protected an entire subway car full 39 00:01:37,560 --> 00:01:41,119 Speaker 3: of people from a belligerent homeless man, Jordan Neely, and 40 00:01:41,200 --> 00:01:46,640 Speaker 3: for his bravery, he's been accused of crimes and so 41 00:01:46,959 --> 00:01:48,919 Speaker 3: he's been on this trial. It's been a long time. 42 00:01:49,160 --> 00:01:54,360 Speaker 3: On Friday, the jury was unable to reach a verdict 43 00:01:54,520 --> 00:01:58,280 Speaker 3: on the main charge of manslaughter, and when they came back, 44 00:01:58,920 --> 00:02:01,800 Speaker 3: they said, we're unable to reach the charge. Unable to 45 00:02:01,800 --> 00:02:03,960 Speaker 3: reach a verdict on this charge. The judge dismissed that 46 00:02:04,080 --> 00:02:07,280 Speaker 3: charge and asked them to consider the lesser charge of 47 00:02:07,440 --> 00:02:11,520 Speaker 3: criminally negligent homicide, which they came back today and said, 48 00:02:11,680 --> 00:02:15,120 Speaker 3: not guilty. Now, I try to say that it's unusual 49 00:02:15,200 --> 00:02:17,800 Speaker 3: to do that, and from what I've read, it's almost 50 00:02:17,840 --> 00:02:19,600 Speaker 3: never done where you just. 51 00:02:19,520 --> 00:02:21,760 Speaker 1: So unusual, no one could find a precedent for it. 52 00:02:22,000 --> 00:02:25,360 Speaker 3: Yeah, so they dismissed. I'm dismissing the bigger charge and 53 00:02:25,400 --> 00:02:28,600 Speaker 3: asking the jury to consider a smaller charge. Daniel Penny's 54 00:02:28,760 --> 00:02:31,360 Speaker 3: lawyers had called for a mistrial. The judge said no, 55 00:02:32,360 --> 00:02:34,799 Speaker 3: And so it's interesting that it worked out the way 56 00:02:35,040 --> 00:02:37,600 Speaker 3: it has. I am super relieved. I mean that's the 57 00:02:37,639 --> 00:02:40,920 Speaker 3: feeling I felt when I read that he was not guilty. 58 00:02:41,080 --> 00:02:43,760 Speaker 3: Extreme relief. I'm so happy for him and his family. 59 00:02:43,880 --> 00:02:46,919 Speaker 2: This is one of these moments where when this originally happened, 60 00:02:46,960 --> 00:02:50,280 Speaker 2: and as the trial progresses, it's one of those moments 61 00:02:50,280 --> 00:02:52,480 Speaker 2: where I feel most out of step with the left 62 00:02:52,520 --> 00:02:54,919 Speaker 2: and this country is on issues of self defense and 63 00:02:55,000 --> 00:02:58,360 Speaker 2: this this kind of incident, because there will be a 64 00:02:58,480 --> 00:03:01,720 Speaker 2: very quick gelling of public opinion that this guy does 65 00:03:01,720 --> 00:03:04,840 Speaker 2: something wrong with him Daniel Penny, and I go. My 66 00:03:05,880 --> 00:03:08,679 Speaker 2: immediate reaction is he did the correct thing. 67 00:03:08,960 --> 00:03:12,160 Speaker 3: Yeah, they're allowed somebody would do on our subway car. 68 00:03:12,440 --> 00:03:15,440 Speaker 2: Yes, you're allowed to defend yourself and others, and in fact, 69 00:03:15,480 --> 00:03:19,760 Speaker 2: defending others at risk to your personal safety is bravery, 70 00:03:20,240 --> 00:03:23,600 Speaker 2: it's honorable, and so to watch this happen makes me 71 00:03:23,639 --> 00:03:26,400 Speaker 2: sick to my stomach to watch people dragged through this. 72 00:03:26,440 --> 00:03:31,280 Speaker 2: There was another incident where a bodega owner, also almost 73 00:03:31,320 --> 00:03:34,880 Speaker 2: prosecuted by Alvin Bragg in New York, shot someone who 74 00:03:34,920 --> 00:03:37,520 Speaker 2: robbed him and was threatening him, and he was put 75 00:03:37,520 --> 00:03:41,800 Speaker 2: in rikers at least briefly until public outroar got him 76 00:03:42,200 --> 00:03:44,400 Speaker 2: or outrage got him moved out of there and the 77 00:03:44,520 --> 00:03:50,119 Speaker 2: charges dropped. But Bragg routinely lets criminals slide and then 78 00:03:50,240 --> 00:03:53,760 Speaker 2: nitpicks and punishes the law abiding. 79 00:03:54,640 --> 00:03:58,680 Speaker 3: That's right. He is known for basically making crime legal 80 00:03:58,800 --> 00:04:01,320 Speaker 3: in New York City, where it's very hard to get 81 00:04:01,360 --> 00:04:03,680 Speaker 3: arrested for a crime. It's very hard to be charged 82 00:04:03,800 --> 00:04:05,280 Speaker 3: or held or anything for a crime. 83 00:04:05,360 --> 00:04:05,600 Speaker 4: Now. 84 00:04:05,680 --> 00:04:09,240 Speaker 3: But these examples that you've given are exactly who he 85 00:04:09,360 --> 00:04:11,920 Speaker 3: targets he needs to go. I'd like to see some 86 00:04:12,200 --> 00:04:16,479 Speaker 3: larger campaign against him. This last election has shown that 87 00:04:16,560 --> 00:04:19,360 Speaker 3: the country wants to move in a different direction, and 88 00:04:19,400 --> 00:04:23,920 Speaker 3: that includes Donald Trump moved New York City right ward. 89 00:04:24,279 --> 00:04:26,520 Speaker 3: He got more votes than he did in the previous 90 00:04:26,560 --> 00:04:29,920 Speaker 3: two elections. It was a real groundswell of support for him. Obviously, 91 00:04:30,040 --> 00:04:32,479 Speaker 3: it's still a deep blue city, so he's not going 92 00:04:32,560 --> 00:04:35,640 Speaker 3: to win, but it was a movement, and I think 93 00:04:35,640 --> 00:04:37,880 Speaker 3: people have had enough. They don't want to live in 94 00:04:37,920 --> 00:04:41,359 Speaker 3: a place where the criminals get off and then the 95 00:04:41,360 --> 00:04:44,640 Speaker 3: guys trying to stop crime are the ones who get punished. 96 00:04:44,680 --> 00:04:47,920 Speaker 3: And I think that includes New York. I'm from South Brooklyn. 97 00:04:47,960 --> 00:04:49,760 Speaker 3: It's you know, where I grew up, and that's a 98 00:04:49,920 --> 00:04:52,560 Speaker 3: pretty deep red area at this point, and it gets 99 00:04:52,560 --> 00:04:56,279 Speaker 3: redder every election because people are trying so hard to 100 00:04:56,360 --> 00:04:59,440 Speaker 3: vote themselves out of that madness. So I know that 101 00:04:59,480 --> 00:05:01,839 Speaker 3: on the right especially, there's a lot of like, who 102 00:05:01,839 --> 00:05:04,719 Speaker 3: cares about New York? These people vote all wrong, But 103 00:05:04,800 --> 00:05:08,960 Speaker 3: you have to picture these areas that are really trying 104 00:05:09,000 --> 00:05:12,120 Speaker 3: and working and getting better all the time. Who are 105 00:05:12,839 --> 00:05:15,599 Speaker 3: you know, hoping for a better life? And you know 106 00:05:15,600 --> 00:05:18,480 Speaker 3: they're in the minority, yes, but they're doing their very 107 00:05:18,520 --> 00:05:21,719 Speaker 3: best to vote themselves to sanity right well. 108 00:05:21,440 --> 00:05:24,440 Speaker 2: And I think a lot of people reacted in cities. 109 00:05:24,480 --> 00:05:26,400 Speaker 2: I think that's partly why the swing was strong in 110 00:05:26,440 --> 00:05:28,719 Speaker 2: a lot of cities, we're reacting to the on the 111 00:05:28,760 --> 00:05:34,240 Speaker 2: ground results of governance by very far left Democrats, and 112 00:05:34,320 --> 00:05:38,120 Speaker 2: the product is bad. The product is bad and often 113 00:05:38,200 --> 00:05:42,200 Speaker 2: dangerous for good people who are trying to live and 114 00:05:42,240 --> 00:05:43,880 Speaker 2: put together lives in these cities. 115 00:05:44,080 --> 00:05:44,920 Speaker 1: Daniel Penny's a. 116 00:05:44,839 --> 00:05:48,400 Speaker 2: Twenty four year old former marine who probably saved a 117 00:05:48,440 --> 00:05:51,680 Speaker 2: couple people from at least like from who knows what 118 00:05:51,720 --> 00:05:53,800 Speaker 2: all that point because he was right, but Neeli came 119 00:05:53,839 --> 00:05:56,719 Speaker 2: onto the train. I think it's important for context saying 120 00:05:56,880 --> 00:05:59,719 Speaker 2: someone's going to die today and ranting, and a lot 121 00:05:59,720 --> 00:06:04,320 Speaker 2: of people the witnesses testify to hiding and praying while 122 00:06:04,360 --> 00:06:06,120 Speaker 2: he was on the car with them, so he was 123 00:06:06,240 --> 00:06:10,479 Speaker 2: restrained and then this death happened. I just think that 124 00:06:10,600 --> 00:06:13,280 Speaker 2: the more you tell people that this bad product is 125 00:06:13,320 --> 00:06:15,920 Speaker 2: fantastic and they just have to put up with it, 126 00:06:15,960 --> 00:06:20,920 Speaker 2: whether it's schools or city governance or this kind of thing, 127 00:06:21,160 --> 00:06:22,800 Speaker 2: the more people are going to reject you. 128 00:06:23,240 --> 00:06:26,800 Speaker 3: I agree. There's also the factor where we want people 129 00:06:26,920 --> 00:06:29,279 Speaker 3: not to be bystanders, right. There's a lot of like 130 00:06:29,320 --> 00:06:32,080 Speaker 3: when something goes wrong, we're like, why didn't anybody do anything? 131 00:06:32,360 --> 00:06:35,640 Speaker 3: And Daniel Penny did do something, and he was punished 132 00:06:35,680 --> 00:06:37,880 Speaker 3: for that, he was charged with a crime for that, 133 00:06:37,960 --> 00:06:40,200 Speaker 3: and it's the reality is that I think a lot 134 00:06:40,240 --> 00:06:42,680 Speaker 3: about what kind of you know, children I want to 135 00:06:42,760 --> 00:06:45,320 Speaker 3: raise into adults, and I want my kids to be 136 00:06:45,360 --> 00:06:48,400 Speaker 3: the kind of people that do step in and say 137 00:06:48,560 --> 00:06:51,880 Speaker 3: something is going wrong here, I'm going to help. That's 138 00:06:52,160 --> 00:06:55,039 Speaker 3: very hard to do when they see the good guys 139 00:06:55,080 --> 00:06:57,880 Speaker 3: get punished, and that's a concern for us all. 140 00:06:58,440 --> 00:07:01,520 Speaker 2: Yeah, And by the way, the process is also a punishment. 141 00:07:01,560 --> 00:07:05,599 Speaker 2: He did come out in the end not guilty here, 142 00:07:06,040 --> 00:07:09,000 Speaker 2: I think rightly. But living in New York is going 143 00:07:09,040 --> 00:07:11,000 Speaker 2: to be hard for him if he wishes to do that, 144 00:07:11,040 --> 00:07:13,240 Speaker 2: which is where he was making his life. The can't 145 00:07:13,240 --> 00:07:16,240 Speaker 2: imagine what he's spent. And I have assumed that others 146 00:07:16,240 --> 00:07:18,520 Speaker 2: have chipped in and that he has probably some pro 147 00:07:18,560 --> 00:07:21,920 Speaker 2: bono help at times, but to have good representations very expensive. 148 00:07:22,240 --> 00:07:25,520 Speaker 2: The process is very stressful and painful, and I'm very 149 00:07:25,560 --> 00:07:27,280 Speaker 2: glad that he will be able to make a new 150 00:07:27,280 --> 00:07:30,320 Speaker 2: life at this point, whatever he chooses for that to be. 151 00:07:30,680 --> 00:07:33,760 Speaker 3: You know, I recommend Florida. So Daniel Penny, come on 152 00:07:33,840 --> 00:07:36,200 Speaker 3: down to Florida. We are waiting for you. 153 00:07:37,040 --> 00:07:42,840 Speaker 2: Shall we talk about another weird Manhattan crime incident. Yes, so, 154 00:07:43,280 --> 00:07:48,600 Speaker 2: the CEO of United Healthcare to Health insurance Company, one 155 00:07:48,640 --> 00:07:54,400 Speaker 2: of the giants, Tom Brian TOFs, was murdered in cold 156 00:07:54,440 --> 00:07:58,680 Speaker 2: blood on the streets of Manhattan. I believe a person 157 00:07:58,720 --> 00:08:02,160 Speaker 2: of interest has been picked up at this point, and 158 00:08:02,200 --> 00:08:05,720 Speaker 2: there have been photos released by NYPD and FBI of 159 00:08:05,800 --> 00:08:07,680 Speaker 2: someone caught on surveillance camera. 160 00:08:08,160 --> 00:08:09,200 Speaker 1: We get a pretty. 161 00:08:08,880 --> 00:08:11,720 Speaker 2: Decent look at the face, but it looks like a 162 00:08:11,760 --> 00:08:17,600 Speaker 2: targeted execution. The discourse post execution has been another thing 163 00:08:17,640 --> 00:08:20,560 Speaker 2: that makes me feel out of touch with a lot 164 00:08:20,600 --> 00:08:25,080 Speaker 2: of the elite opinion in our country, because it seems 165 00:08:25,320 --> 00:08:28,200 Speaker 2: very okay with people to go straight from cold blooded 166 00:08:28,280 --> 00:08:34,000 Speaker 2: murder to well, don't get me wrong, I don't love murder. 167 00:08:33,880 --> 00:08:37,480 Speaker 3: Right right, I just tolerate it in certain cases. 168 00:08:37,520 --> 00:08:41,160 Speaker 2: But didn't the murderer kind of have a point because 169 00:08:41,280 --> 00:08:44,840 Speaker 2: healthcare and I reject that pivot. 170 00:08:45,040 --> 00:08:48,240 Speaker 3: Yeah, right. And what's interesting is that there's so many 171 00:08:48,320 --> 00:08:51,200 Speaker 3: journalists posting that. I forgot who tweeted it, but somebody 172 00:08:51,280 --> 00:08:53,599 Speaker 3: was like, do you know what people think of journalists? 173 00:08:53,960 --> 00:08:54,480 Speaker 4: Yeah? 174 00:08:54,520 --> 00:08:57,440 Speaker 3: If we're just killing people that whose professions we don't like, 175 00:08:57,760 --> 00:09:00,800 Speaker 3: journalists are in trouble. There's also this, you know, a 176 00:09:00,800 --> 00:09:03,760 Speaker 3: lot of the left lives out this French Revolution thing 177 00:09:03,880 --> 00:09:08,400 Speaker 3: where where they could just imagine their bourgeoisie enemy getting killed. 178 00:09:08,400 --> 00:09:12,120 Speaker 3: And this one guy yesterday on X was saying like, oh, 179 00:09:12,240 --> 00:09:15,200 Speaker 3: this is I understand why people would go after the 180 00:09:15,280 --> 00:09:18,000 Speaker 3: super wealthy. And then somebody asked him, like, do you 181 00:09:18,000 --> 00:09:20,040 Speaker 3: live in Brooklyn And he said no, I live in Illinois. 182 00:09:20,480 --> 00:09:22,959 Speaker 3: And somebody said red Illinois or blue Illinois and he 183 00:09:23,000 --> 00:09:25,920 Speaker 3: said both. I have two houses. Like, dude, you're the 184 00:09:26,040 --> 00:09:28,600 Speaker 3: first in line for the guillotine. What do you think 185 00:09:28,679 --> 00:09:31,400 Speaker 3: the guy with two houses thinks that he's going to 186 00:09:31,400 --> 00:09:33,920 Speaker 3: be on the right side of that revolution up against 187 00:09:33,960 --> 00:09:34,400 Speaker 3: the wall? 188 00:09:35,160 --> 00:09:36,079 Speaker 1: Yeah? 189 00:09:36,200 --> 00:09:39,000 Speaker 2: Yeah, well, and I think that the rhetoric is kind 190 00:09:39,040 --> 00:09:42,520 Speaker 2: of how our elite folks sort of shield themselves from 191 00:09:42,640 --> 00:09:45,760 Speaker 2: the two houses accusation. Right, They're like, I so woke 192 00:09:45,840 --> 00:09:49,280 Speaker 2: that I can't be bad. Right, But it's it's bad 193 00:09:49,880 --> 00:09:52,640 Speaker 2: to pivot, may it's bad to celebrate murder, which some 194 00:09:52,679 --> 00:09:56,360 Speaker 2: people did, and be it bad to pivot from a 195 00:09:56,440 --> 00:10:01,280 Speaker 2: murder to your preferred policy prescriptions. I don't think that's convincing. 196 00:10:01,360 --> 00:10:04,559 Speaker 2: I think it's pretty gross, and I don't doubt that 197 00:10:04,640 --> 00:10:08,319 Speaker 2: we have problems with our health insurance and healthcare regimes 198 00:10:08,320 --> 00:10:10,439 Speaker 2: in this country, which I was reliably told we're fixed 199 00:10:10,440 --> 00:10:11,600 Speaker 2: by Obamacare entirely. 200 00:10:11,679 --> 00:10:13,520 Speaker 3: I was going to say, I think you've written some 201 00:10:13,559 --> 00:10:16,160 Speaker 3: of the best stuff that I read about how bad 202 00:10:16,200 --> 00:10:20,119 Speaker 3: it got with Obamacare and how it affected you personally. 203 00:10:20,160 --> 00:10:22,720 Speaker 3: I think I know you should relink that piece at 204 00:10:22,720 --> 00:10:24,440 Speaker 3: some point, because it really was one of the better 205 00:10:24,480 --> 00:10:27,439 Speaker 3: ones on it. And yeah, like the health care policies 206 00:10:27,440 --> 00:10:30,760 Speaker 3: that you don't like were put in place by Obama. 207 00:10:30,880 --> 00:10:33,400 Speaker 2: Well that's what the story is, that healthcare was fixed. 208 00:10:33,480 --> 00:10:36,760 Speaker 2: But also we're so angry about healthcare we need to 209 00:10:36,880 --> 00:10:41,760 Speaker 2: murder people in vigilante attacks. This doesn't make sense. And 210 00:10:41,960 --> 00:10:44,640 Speaker 2: I do think look, if the target of something is 211 00:10:44,960 --> 00:10:48,680 Speaker 2: like sort of approved disapproved by lefties, is a right 212 00:10:48,800 --> 00:10:52,720 Speaker 2: coded target, then we very quickly can move on from 213 00:10:52,760 --> 00:10:56,320 Speaker 2: the actual violence, whether it's an assassinationship attempt don Trump 214 00:10:56,400 --> 00:10:59,080 Speaker 2: or this to the thing the left wants to talk about, 215 00:10:59,559 --> 00:11:02,120 Speaker 2: and if it or the other way around, No, you 216 00:11:02,160 --> 00:11:04,480 Speaker 2: don't get to pivot to talking about tax cuts. 217 00:11:04,520 --> 00:11:09,199 Speaker 3: My dude, that's not how Yeah, yeah, that's absolutely. They 218 00:11:09,440 --> 00:11:12,120 Speaker 3: use this violence for their own political means and it's 219 00:11:12,400 --> 00:11:15,920 Speaker 3: really gross. I know, I know nothing about the details, 220 00:11:16,000 --> 00:11:19,880 Speaker 3: just like most people, all people. I My guess, just 221 00:11:19,960 --> 00:11:23,800 Speaker 3: as an avid law and order watcher, is that I 222 00:11:23,800 --> 00:11:26,040 Speaker 3: think it's not connected to his work. And again this 223 00:11:26,120 --> 00:11:27,880 Speaker 3: is a guest. I don't know, but it seems like 224 00:11:27,920 --> 00:11:31,920 Speaker 3: a very personal murder. It does not seem like, you know, 225 00:11:31,960 --> 00:11:36,040 Speaker 3: the kind of hit where it would be a political statement. 226 00:11:36,080 --> 00:11:37,439 Speaker 3: I don't know. I just can't see it. I could 227 00:11:37,480 --> 00:11:40,240 Speaker 3: be wrong. The whole thing with the etching on the bullets, 228 00:11:40,640 --> 00:11:44,319 Speaker 3: which is the name of a book, it's Deny, No, 229 00:11:44,559 --> 00:11:46,760 Speaker 3: it was, but it was. It was insurance terms were 230 00:11:46,800 --> 00:11:49,400 Speaker 3: etched on the bullets. I almost think that's like a 231 00:11:49,440 --> 00:11:52,640 Speaker 3: red herring. And it seemed meant to throw the yah 232 00:11:52,679 --> 00:11:55,080 Speaker 3: a little bit too much. So we'll see. We don't 233 00:11:55,080 --> 00:11:57,440 Speaker 3: know where this is going to go. If it's a 234 00:11:57,480 --> 00:11:59,400 Speaker 3: story that has nothing to do with his job, or 235 00:11:59,440 --> 00:12:02,560 Speaker 3: maybe like a a just gruntled employee, or who knows 236 00:12:02,600 --> 00:12:05,080 Speaker 3: what it could be. Maybe we wait and see before 237 00:12:05,160 --> 00:12:08,480 Speaker 3: the celebrations over his murders begin in blue cities. 238 00:12:08,600 --> 00:12:12,079 Speaker 2: Just thought well, or also like, if you want to 239 00:12:12,160 --> 00:12:15,080 Speaker 2: talk about the issue that's upsetting you, maybe wait until 240 00:12:15,720 --> 00:12:19,120 Speaker 2: the murderer is apprehended and then we sort of figure 241 00:12:19,160 --> 00:12:22,200 Speaker 2: that out before you move on to your nice discussion. 242 00:12:22,240 --> 00:12:23,400 Speaker 1: I just find it so gross. 243 00:12:23,679 --> 00:12:28,280 Speaker 3: Offer your suggestions for how we can change Obamacare into 244 00:12:28,360 --> 00:12:31,240 Speaker 3: a system that actually works, because a lot of us 245 00:12:31,360 --> 00:12:35,040 Speaker 3: think that it doesn't and it hasn't, So you know, 246 00:12:35,240 --> 00:12:36,800 Speaker 3: maybe let's start there. 247 00:12:38,000 --> 00:12:44,240 Speaker 2: Deny, depose, defend right the letters, allegedly messages allegedly etched 248 00:12:44,360 --> 00:12:47,480 Speaker 2: into the bullets there. There has been somebody apprehended in 249 00:12:47,520 --> 00:12:50,440 Speaker 2: Pennsylvania somewhere, apparently at a McDonald's, so we will find 250 00:12:50,440 --> 00:12:51,680 Speaker 2: out more about him in the future. 251 00:12:51,800 --> 00:12:55,000 Speaker 3: McDonald's is delicious, as we have discussed on this show before, 252 00:12:55,120 --> 00:12:57,199 Speaker 3: so it makes a lot of sense that that's where 253 00:12:57,240 --> 00:13:04,720 Speaker 3: this guy would be. We'll be right back on. Taylor Lorenz, 254 00:13:04,880 --> 00:13:07,160 Speaker 3: formerly of The Washington Post and The New York Times, 255 00:13:07,240 --> 00:13:11,440 Speaker 3: is one of the more famous people being outspokenly happy 256 00:13:11,480 --> 00:13:13,960 Speaker 3: about his murder, and she wrote this thing where she 257 00:13:14,000 --> 00:13:16,480 Speaker 3: said just because she's happy about his murder doesn't mean 258 00:13:16,480 --> 00:13:19,240 Speaker 3: she's calling for other CEOs to be murdered, although she 259 00:13:19,400 --> 00:13:23,120 Speaker 3: did post a picture of the Blue Cross Blue Shield CEO, 260 00:13:23,320 --> 00:13:27,280 Speaker 3: so not not sure what she's calling for exactly. Apparently, 261 00:13:27,320 --> 00:13:30,160 Speaker 3: she and Vox have parted ways, which was news to 262 00:13:30,200 --> 00:13:31,680 Speaker 3: me because I didn't know she was on Box and 263 00:13:31,679 --> 00:13:33,480 Speaker 3: I didn't know Vox was still around, So this was 264 00:13:33,559 --> 00:13:36,640 Speaker 3: all a very exciting morning of news for me personally. 265 00:13:37,040 --> 00:13:39,839 Speaker 2: I do think it's worth contemplating that I don't want 266 00:13:39,840 --> 00:13:46,840 Speaker 2: to give Taylor Lorenz too much attention, however, No, just attention. Yeah, However, 267 00:13:47,080 --> 00:13:50,240 Speaker 2: it is worth contemplating that a person who is tweeting 268 00:13:50,280 --> 00:13:52,880 Speaker 2: these things or blue skying them or whatever, and does 269 00:13:52,880 --> 00:13:57,400 Speaker 2: they do over there publicly, unabashedly going on follow up 270 00:13:57,440 --> 00:13:59,880 Speaker 2: interviews to talk about how just because I'm wishing death 271 00:13:59,880 --> 00:14:02,400 Speaker 2: on CEOs doesn't mean I'm like asking for people to 272 00:14:02,640 --> 00:14:06,920 Speaker 2: murder them per se. Okay, this is beyond the pale. 273 00:14:06,920 --> 00:14:09,600 Speaker 2: This is bad public behavior. If I were doing this, 274 00:14:09,800 --> 00:14:10,439 Speaker 2: I would. 275 00:14:10,160 --> 00:14:11,400 Speaker 3: Be fired instantly. 276 00:14:12,400 --> 00:14:17,280 Speaker 2: Until recently, this woman was a leading light of American journalism, 277 00:14:17,679 --> 00:14:20,000 Speaker 2: fought over by the Washington. 278 00:14:19,600 --> 00:14:21,520 Speaker 1: Post in the New York Times. 279 00:14:21,560 --> 00:14:24,360 Speaker 2: Since then, she has comported herself so badly that she's 280 00:14:24,400 --> 00:14:26,440 Speaker 2: lost several jobs. But it's not like she was well 281 00:14:26,440 --> 00:14:29,600 Speaker 2: behaved before that, right, right, absolutely? 282 00:14:29,600 --> 00:14:30,360 Speaker 1: That's yeah. 283 00:14:30,800 --> 00:14:34,400 Speaker 2: When you get too bubbleized, you look at Taylor Lorenz 284 00:14:34,440 --> 00:14:36,880 Speaker 2: and you go that makes sense maybe we should pay 285 00:14:36,880 --> 00:14:38,920 Speaker 2: her a lot of money to do the news reporting 286 00:14:39,560 --> 00:14:40,480 Speaker 2: exactly right. 287 00:14:40,560 --> 00:14:43,040 Speaker 3: So she was, you know, in line with their values 288 00:14:43,080 --> 00:14:46,440 Speaker 3: for a long time. When she tried to out libs 289 00:14:46,440 --> 00:14:50,000 Speaker 3: of TikTok higher chik, she went to her family member's 290 00:14:50,040 --> 00:14:52,240 Speaker 3: house and knocked on their doors, and that was all 291 00:14:52,280 --> 00:14:55,920 Speaker 3: seen as okay, exposing an anonymous account on the internet 292 00:14:56,440 --> 00:15:00,520 Speaker 3: and trying, you know, potentially exposing her to violence. Fine, 293 00:15:00,720 --> 00:15:03,920 Speaker 3: but she would also constantly plead victim and say that 294 00:15:04,000 --> 00:15:06,560 Speaker 3: she was being attacked and she was the victim of 295 00:15:06,640 --> 00:15:08,440 Speaker 3: threats and all of this, and it was like, girl, 296 00:15:08,520 --> 00:15:10,760 Speaker 3: you're causing all of this. You're the problem. 297 00:15:10,840 --> 00:15:11,120 Speaker 1: It's you. 298 00:15:12,000 --> 00:15:15,480 Speaker 2: It's a classic sort of left leaning dynamic, which is 299 00:15:15,480 --> 00:15:18,000 Speaker 2: that not wearing a mask or like having the wrong 300 00:15:18,040 --> 00:15:23,920 Speaker 2: words is violence, but actually wishing violence upon people, that's 301 00:15:23,960 --> 00:15:28,320 Speaker 2: a okay, right, words are violence. Violence is not that violent, 302 00:15:28,640 --> 00:15:29,520 Speaker 2: not so much violent? 303 00:15:29,560 --> 00:15:30,080 Speaker 1: All right, Carol. 304 00:15:30,120 --> 00:15:31,840 Speaker 2: Can we talk a little bit about the vibe shift. 305 00:15:32,240 --> 00:15:34,400 Speaker 3: There's a vibe shift, for sure, the. 306 00:15:34,400 --> 00:15:36,400 Speaker 1: Cultural vibe shift continues. 307 00:15:36,600 --> 00:15:40,000 Speaker 2: I want to play us a clip of Lana del Rey, 308 00:15:40,040 --> 00:15:45,320 Speaker 2: singer Lendada Ray's comments on her marriage. But recently she 309 00:15:45,680 --> 00:15:54,040 Speaker 2: married a somewhat unexpected figures. It's like an airboat captain 310 00:15:54,280 --> 00:15:55,440 Speaker 2: from the Everglades. 311 00:15:55,680 --> 00:16:00,120 Speaker 3: I mean those airboat captains. They're like rugged, manly men, 312 00:16:00,000 --> 00:16:00,640 Speaker 3: and I get. 313 00:16:00,440 --> 00:16:03,800 Speaker 2: It, like if I may as someone from the South. 314 00:16:04,320 --> 00:16:08,880 Speaker 2: She found herself a good old boy and I wholeheartedly approve. 315 00:16:09,160 --> 00:16:11,720 Speaker 2: And everyone in the pop culture world was like, this 316 00:16:11,800 --> 00:16:13,840 Speaker 2: is a weird match. But let's play a little bit 317 00:16:13,840 --> 00:16:16,240 Speaker 2: of a want of already talking about her marriage to 318 00:16:16,360 --> 00:16:16,920 Speaker 2: her husband. 319 00:16:17,000 --> 00:16:20,120 Speaker 4: He's a big reason why I waited so long to 320 00:16:20,200 --> 00:16:24,240 Speaker 4: get married and why I met my amazing husband. And 321 00:16:24,280 --> 00:16:28,920 Speaker 4: I really feel like there's kind of a singer's curse around, 322 00:16:29,160 --> 00:16:36,200 Speaker 4: like meeting an honest partner who has no skin in 323 00:16:36,240 --> 00:16:39,640 Speaker 4: the game, no dog in the race, And it's super 324 00:16:39,680 --> 00:16:43,400 Speaker 4: nerve wracking to have to kind of hold on to 325 00:16:43,600 --> 00:16:47,960 Speaker 4: an innocent perception of how things could go when you're 326 00:16:48,000 --> 00:16:50,960 Speaker 4: in an industry where maybe your values and your morals 327 00:16:51,440 --> 00:16:54,080 Speaker 4: don't quite match up with what's going on. 328 00:16:54,320 --> 00:16:54,560 Speaker 3: Hmm. 329 00:16:54,760 --> 00:16:57,800 Speaker 2: Interesting, But his name is His name is Jeremy Dufrain, 330 00:16:58,320 --> 00:17:00,760 Speaker 2: a Louisiana based alligator tour guide. 331 00:17:00,760 --> 00:17:01,640 Speaker 1: Get it girl, But. 332 00:17:01,680 --> 00:17:04,639 Speaker 2: Yes, this is sort of feels a little like coded 333 00:17:04,760 --> 00:17:05,960 Speaker 2: language for it. 334 00:17:05,960 --> 00:17:07,639 Speaker 3: It seemed like she wanted to say Republican. 335 00:17:08,200 --> 00:17:09,640 Speaker 1: Yeah, like maybe I. 336 00:17:09,680 --> 00:17:11,639 Speaker 2: Was like hanging with a bunch of people whose values 337 00:17:11,640 --> 00:17:15,439 Speaker 2: didn't align with mine, and then I found an alligator 338 00:17:15,480 --> 00:17:19,040 Speaker 2: tour guide and his did Yeah. 339 00:17:19,240 --> 00:17:19,440 Speaker 4: Right. 340 00:17:20,160 --> 00:17:20,680 Speaker 1: Interesting. 341 00:17:21,000 --> 00:17:23,560 Speaker 3: But what you're saying is really interesting, is it is 342 00:17:23,600 --> 00:17:24,359 Speaker 3: the vibe shift. 343 00:17:24,400 --> 00:17:24,560 Speaker 4: Right. 344 00:17:24,600 --> 00:17:26,440 Speaker 3: It's something that I don't think she would be able 345 00:17:26,480 --> 00:17:29,360 Speaker 3: to say even two years ago, let alone four years 346 00:17:29,359 --> 00:17:32,080 Speaker 3: ago when things were really crazy. But it's like the 347 00:17:32,119 --> 00:17:35,880 Speaker 3: permission has been given to be yourself and to be different, 348 00:17:36,560 --> 00:17:39,560 Speaker 3: and not to fall in line and not to kind 349 00:17:39,600 --> 00:17:42,560 Speaker 3: of walk that narrow path that you're supposed to walk 350 00:17:42,720 --> 00:17:47,320 Speaker 3: as a celebrity, which is the you must be a leftist, 351 00:17:47,440 --> 00:17:49,680 Speaker 3: You must be like this and only like this. 352 00:17:50,680 --> 00:17:52,680 Speaker 2: Right says By the way, This went a little viral, 353 00:17:52,760 --> 00:17:54,840 Speaker 2: and a number of yours surmised that the star was 354 00:17:54,840 --> 00:17:57,240 Speaker 2: alluding to her own political beliefs being at odds with 355 00:17:57,280 --> 00:18:00,640 Speaker 2: the majority in Hollywood, which has traditionally been seen as 356 00:18:00,640 --> 00:18:03,440 Speaker 2: being the base of democrat leaning celebrities. And of course, 357 00:18:03,480 --> 00:18:05,720 Speaker 2: you know, there was a lot of hate based upon that. 358 00:18:05,880 --> 00:18:09,600 Speaker 2: But I would like to just step out and say, Alana, enjoy, 359 00:18:10,119 --> 00:18:14,000 Speaker 2: enjoy your marriage to Jeremy Dufrain speak openly about it. 360 00:18:14,359 --> 00:18:16,399 Speaker 2: There's been you know, sort of knows in the air 361 00:18:16,480 --> 00:18:19,560 Speaker 2: commentary about her husband since it was announced that they 362 00:18:19,560 --> 00:18:21,520 Speaker 2: were married, and it took people by surprise. 363 00:18:21,560 --> 00:18:23,320 Speaker 1: But I enjoy this storyline very much. 364 00:18:23,920 --> 00:18:25,920 Speaker 3: I agree, And I'm a huge Lana del Rey fan. 365 00:18:26,080 --> 00:18:29,200 Speaker 3: I called her since Video Games. I just I think 366 00:18:29,240 --> 00:18:33,080 Speaker 3: she's so fantastic and I love her music and it's okay, 367 00:18:33,480 --> 00:18:36,960 Speaker 3: And in fact, it used to be a plus to 368 00:18:37,040 --> 00:18:41,560 Speaker 3: be unusual and original in Hollywood, and now it's become, 369 00:18:41,760 --> 00:18:44,120 Speaker 3: you know, this really cookie cutter thing where everybody has 370 00:18:44,160 --> 00:18:47,280 Speaker 3: to be the same, and it is unfortunate, it really is. 371 00:18:47,359 --> 00:18:50,440 Speaker 3: And if you are a leftist, that's fine and okay, 372 00:18:50,520 --> 00:18:52,840 Speaker 3: but I think a lot of people who aren't feel 373 00:18:52,880 --> 00:18:54,560 Speaker 3: like they have to pretend that they are, and that's 374 00:18:54,920 --> 00:18:57,800 Speaker 3: a problem. And I'm glad Lenna del Rey is maybe 375 00:18:57,840 --> 00:18:59,920 Speaker 3: who even knows. Maybe she meant he's just a norm 376 00:19:00,160 --> 00:19:02,680 Speaker 3: and she likes that, which is okay. 377 00:19:02,840 --> 00:19:05,040 Speaker 2: Even that would be out of bounds for many people 378 00:19:05,080 --> 00:19:06,200 Speaker 2: in Hollywood, right. 379 00:19:06,119 --> 00:19:08,520 Speaker 3: They like, how do you not marry like a billionaire? 380 00:19:08,520 --> 00:19:10,640 Speaker 3: In that case, if you want tonore me, at least 381 00:19:10,640 --> 00:19:11,840 Speaker 3: make them a really rich one. 382 00:19:12,280 --> 00:19:15,119 Speaker 2: I also noticed the other day that Gwen Stefani, who 383 00:19:15,160 --> 00:19:18,040 Speaker 2: also married a country star Blake Shelton, was doing a 384 00:19:18,040 --> 00:19:22,720 Speaker 2: hallow app ad, which suggests that Mark Walmerberg has done 385 00:19:22,760 --> 00:19:24,760 Speaker 2: a bunch of this. But he's always been very open 386 00:19:24,760 --> 00:19:26,840 Speaker 2: about his faith, and he's been sort of an exception 387 00:19:27,000 --> 00:19:30,240 Speaker 2: in Hollywood for that reason. The idea that Stefani is 388 00:19:30,280 --> 00:19:31,120 Speaker 2: sort of jumping on. 389 00:19:31,040 --> 00:19:32,960 Speaker 1: This is interesting to me. 390 00:19:33,760 --> 00:19:36,719 Speaker 2: Hallow app is like a prayer and meditation app but 391 00:19:36,760 --> 00:19:39,600 Speaker 2: it has a very specific Christian bent. And then I 392 00:19:39,680 --> 00:19:42,439 Speaker 2: noticed the other day that Drea de Matteo, who was 393 00:19:42,520 --> 00:19:45,760 Speaker 2: formerly of the most famous for the Sopranos, but came 394 00:19:45,760 --> 00:19:49,679 Speaker 2: out pretty forcefully as pro Trump pre election, and I 395 00:19:49,760 --> 00:19:52,840 Speaker 2: noticed she's still being used in a fairly high end 396 00:19:52,960 --> 00:19:57,520 Speaker 2: makeup ad campaign, and I thought, interesting, that's really two 397 00:19:57,640 --> 00:20:01,240 Speaker 2: years ago they would have booted her and claimed they'd 398 00:20:01,280 --> 00:20:03,640 Speaker 2: never known her, right. 399 00:20:03,480 --> 00:20:06,600 Speaker 3: Like j who who We're going to take a short 400 00:20:06,600 --> 00:20:08,520 Speaker 3: break and come right back with normally. 401 00:20:12,240 --> 00:20:14,760 Speaker 2: And then we were talking about how Trump has been 402 00:20:14,800 --> 00:20:15,960 Speaker 2: received in France. 403 00:20:16,880 --> 00:20:20,240 Speaker 3: Things done changed, as Biggie Small said, Oh. 404 00:20:20,119 --> 00:20:23,240 Speaker 2: My gosh, it's I think part of it, as we 405 00:20:23,240 --> 00:20:25,560 Speaker 2: talked about last episode, is that a lot of people 406 00:20:25,560 --> 00:20:29,720 Speaker 2: are relieved to have an American leader on the field at. 407 00:20:29,560 --> 00:20:32,600 Speaker 3: All, leader just like somebody. 408 00:20:33,520 --> 00:20:36,199 Speaker 2: However, it felt like he when Trump was meeting with 409 00:20:36,240 --> 00:20:39,600 Speaker 2: foreign leaders in France, it felt a little above and beyond. 410 00:20:40,200 --> 00:20:43,159 Speaker 2: Like Prince William, who's not a head of state and 411 00:20:43,200 --> 00:20:45,720 Speaker 2: doesn't really need to be around Trump if it's not 412 00:20:45,800 --> 00:20:50,000 Speaker 2: good for his brand, took pictures with him and put 413 00:20:50,040 --> 00:20:51,119 Speaker 2: it on his Instagram. 414 00:20:51,440 --> 00:20:54,040 Speaker 3: Yeah, and the last time I saw Prince William that 415 00:20:54,080 --> 00:20:56,360 Speaker 3: excited to meet somebody was Taylor Swift. 416 00:20:56,840 --> 00:20:59,840 Speaker 2: I mean, it does feel like even if Macrone seemed 417 00:20:59,880 --> 00:21:03,399 Speaker 2: to be enjoying his time with him, and they. 418 00:21:02,640 --> 00:21:05,080 Speaker 3: Had the handshake back and forth that they like to have, 419 00:21:05,160 --> 00:21:07,200 Speaker 3: like he pulls, he pulls, he pulls, and then Trump 420 00:21:07,200 --> 00:21:08,439 Speaker 3: always wins because he's bigger. 421 00:21:08,920 --> 00:21:10,960 Speaker 2: Well, and then then you had Joe Biden sitting next 422 00:21:11,000 --> 00:21:13,600 Speaker 2: to him. Of course she's caught smiling chatting with him. 423 00:21:14,000 --> 00:21:16,879 Speaker 2: I think the thing you hear almost unanimously about Trump 424 00:21:16,920 --> 00:21:20,720 Speaker 2: is that he is basically unfailingly charming as a meet 425 00:21:20,760 --> 00:21:22,800 Speaker 2: and greet guy, Like, if you meet him and have 426 00:21:22,840 --> 00:21:25,560 Speaker 2: a conversation with him, you're gonna like him in that moment. 427 00:21:25,720 --> 00:21:28,440 Speaker 2: And so, but it does feel like people have given 428 00:21:28,480 --> 00:21:32,399 Speaker 2: themselves permission to sort of publicly enjoy that right and 429 00:21:32,480 --> 00:21:35,640 Speaker 2: just treat him like, wait, what's the word normalize him? 430 00:21:36,000 --> 00:21:38,360 Speaker 3: Oh, they're normalizing the American president. 431 00:21:38,520 --> 00:21:41,280 Speaker 2: Anyway, the vibe shift feels very real. I keep seeing 432 00:21:41,280 --> 00:21:43,200 Speaker 2: signals for it all over the place. 433 00:21:43,359 --> 00:21:45,600 Speaker 3: Yeah, the Trump Dance obviously, as we discussed a few 434 00:21:45,640 --> 00:21:49,760 Speaker 3: episodes ago, normalized him on the field in NFL games. 435 00:21:49,840 --> 00:21:53,120 Speaker 3: And yeah, this trip to Europe is very different than 436 00:21:53,119 --> 00:21:55,800 Speaker 3: previous trips, where I thought he was on edge and 437 00:21:55,840 --> 00:21:59,879 Speaker 3: he maybe wasn't being treated that nicely by the other leader. 438 00:22:00,160 --> 00:22:04,080 Speaker 3: This time he's the man in charge and everybody knows it, 439 00:22:04,160 --> 00:22:05,200 Speaker 3: and so good for him. 440 00:22:05,200 --> 00:22:07,600 Speaker 2: By the way, there's a trajectory here from our first story, 441 00:22:07,600 --> 00:22:11,240 Speaker 2: which was the Daniel Penny incident. Happened in May of 442 00:22:11,280 --> 00:22:14,320 Speaker 2: twenty twenty three. Now, if you had asked me before 443 00:22:14,359 --> 00:22:16,199 Speaker 2: I checked it, I would have thought it was earlier 444 00:22:16,240 --> 00:22:19,600 Speaker 2: than that, because it felt very twenty twenty twenty twenty one. However, 445 00:22:19,640 --> 00:22:21,960 Speaker 2: I think it shows how long the sort of hangover 446 00:22:22,200 --> 00:22:26,399 Speaker 2: was from peak Cancel, woke culture and this type of prosecution. 447 00:22:26,880 --> 00:22:29,679 Speaker 2: So the idea that we're here now it feels like 448 00:22:29,720 --> 00:22:32,399 Speaker 2: a different world from when Daniel Penny was charged. 449 00:22:32,640 --> 00:22:36,480 Speaker 3: I agree, like right, really feels lighter. Everything feels better. 450 00:22:36,600 --> 00:22:40,080 Speaker 3: I know I don't attribute it just to Donald Trump's win, 451 00:22:40,200 --> 00:22:42,800 Speaker 3: but there again, it's the vibe shift. There has been 452 00:22:42,840 --> 00:22:46,120 Speaker 3: a shift in perspective, and I think that did lead 453 00:22:46,160 --> 00:22:49,920 Speaker 3: to Donald Trump's win. But everything feels a lot more hopeful. 454 00:22:50,000 --> 00:22:52,120 Speaker 3: I know that that's a word the Democrats get to us, 455 00:22:52,240 --> 00:22:54,520 Speaker 3: but you know, maybe the right conclaim it is their 456 00:22:54,560 --> 00:22:54,920 Speaker 3: own for. 457 00:22:54,880 --> 00:22:57,280 Speaker 2: Now, hope and joy and maybe a little change. 458 00:22:57,440 --> 00:22:58,000 Speaker 1: I like it. 459 00:22:58,160 --> 00:22:58,480 Speaker 2: Well. 460 00:22:58,520 --> 00:23:02,119 Speaker 3: Thanks for joining us on Normally. Normally airs Tuesdays and Thursdays, 461 00:23:02,160 --> 00:23:05,080 Speaker 3: and you can subscribe anywhere you get your podcasts. Get 462 00:23:05,080 --> 00:23:08,040 Speaker 3: in touch with us at normallythepod at gmail dot com. 463 00:23:08,080 --> 00:23:11,520 Speaker 3: Thanks for listening, and when things get weird, act normally