1 00:00:00,240 --> 00:00:04,080 Speaker 1: Hi, and welcome back to Normally. I'm Carol Markowitz. I'm 2 00:00:04,080 --> 00:00:08,039 Speaker 1: here with Mary Catherine Ham. We recorded an episode that 3 00:00:08,080 --> 00:00:11,520 Speaker 1: you're about to hear and then learn the shocking news 4 00:00:11,600 --> 00:00:15,640 Speaker 1: that Charlie Kirk had been murdered in Utah, and we 5 00:00:15,680 --> 00:00:18,680 Speaker 1: felt like we had to add a segment about that 6 00:00:18,960 --> 00:00:21,919 Speaker 1: and talk about it and not let the episode just 7 00:00:21,960 --> 00:00:24,400 Speaker 1: stand on its own because it's a heartbreaking day for us, 8 00:00:24,400 --> 00:00:27,640 Speaker 1: and we felt like we needed to share with you all. 9 00:00:28,640 --> 00:00:34,800 Speaker 2: Yeah, it's early in this news cycle, but the losses 10 00:00:34,840 --> 00:00:38,600 Speaker 2: already deeply felt. I did not know Charlie super well, 11 00:00:38,640 --> 00:00:40,800 Speaker 2: but I have known him since he was young because 12 00:00:41,320 --> 00:00:43,880 Speaker 2: he's been making an impact since he was very young, 13 00:00:43,960 --> 00:00:49,960 Speaker 2: and we worked together in those early days of turning point. 14 00:00:50,400 --> 00:00:54,400 Speaker 2: He was doing the thing that you and I love, yeah, 15 00:00:54,440 --> 00:00:58,160 Speaker 2: which is to engage on issues that are important to us. 16 00:00:59,000 --> 00:01:01,160 Speaker 2: You and I both You grew up in New York. 17 00:01:01,280 --> 00:01:03,200 Speaker 2: I grew up in Durham, North Carolina. We grew up 18 00:01:03,240 --> 00:01:07,360 Speaker 2: in liberal communities where we were happy to have friends 19 00:01:07,400 --> 00:01:09,319 Speaker 2: who we could go back and forth with. And the 20 00:01:09,360 --> 00:01:13,600 Speaker 2: thing that struck me today was and the Utah governor, 21 00:01:13,680 --> 00:01:16,000 Speaker 2: even though we don't know a ton and I think 22 00:01:16,040 --> 00:01:17,680 Speaker 2: we can make some assumptions with the Utah governor. 23 00:01:17,760 --> 00:01:18,399 Speaker 3: Was like he was. 24 00:01:18,360 --> 00:01:23,800 Speaker 2: Assassinated while debating on a college campus. 25 00:01:24,080 --> 00:01:24,360 Speaker 3: And that. 26 00:01:26,160 --> 00:01:29,600 Speaker 2: Is the thing I admired about Charlie was watching him 27 00:01:29,640 --> 00:01:32,800 Speaker 2: go out and civilly and energetically with a take on 28 00:01:33,400 --> 00:01:37,039 Speaker 2: whoever came to him on a college campus. He was 29 00:01:37,120 --> 00:01:40,480 Speaker 2: what college used to be. But you had to import 30 00:01:40,600 --> 00:01:42,560 Speaker 2: him to college to make it work now because they 31 00:01:42,600 --> 00:01:47,800 Speaker 2: don't do that anymore. And the idea that someone would 32 00:01:48,440 --> 00:01:54,400 Speaker 2: target him for that, and that people think too many 33 00:01:54,440 --> 00:02:01,240 Speaker 2: people think that's warranted is crushing. It's crushing, it really is. 34 00:02:01,320 --> 00:02:07,160 Speaker 1: I feel just devastated, and I've just been at a 35 00:02:07,200 --> 00:02:11,840 Speaker 1: loss for words, breaking down crying at different points. He 36 00:02:11,960 --> 00:02:14,600 Speaker 1: was such a good person. And you know, the thing is, 37 00:02:14,840 --> 00:02:19,280 Speaker 1: you're right. I love an argument, I love debating, I 38 00:02:19,320 --> 00:02:23,600 Speaker 1: love all of that. But when he went into the 39 00:02:23,680 --> 00:02:29,000 Speaker 1: lions Den all the time, sometimes I thought, why, you know, 40 00:02:29,240 --> 00:02:32,320 Speaker 1: why mind are you going to change? 41 00:02:32,400 --> 00:02:32,640 Speaker 3: Right? 42 00:02:32,720 --> 00:02:36,959 Speaker 1: And the thing is he was changing minds, he was growing, 43 00:02:37,160 --> 00:02:41,480 Speaker 1: he his organization was growing. They had done some incredible 44 00:02:41,520 --> 00:02:44,840 Speaker 1: work in the last year. And it's such a loss, 45 00:02:44,880 --> 00:02:45,639 Speaker 1: and I feel just. 46 00:02:47,440 --> 00:02:48,600 Speaker 4: For his family. 47 00:02:50,200 --> 00:02:54,520 Speaker 1: Just this it's senseless it's really senseless. He was killed 48 00:02:54,760 --> 00:02:58,760 Speaker 1: for wanting to talk to the other side, for taking 49 00:02:58,800 --> 00:03:01,360 Speaker 1: the chance and trying to talk to the other side. 50 00:03:02,160 --> 00:03:07,440 Speaker 2: Yeah, yeah, it's really it's dark. It makes me worried 51 00:03:07,800 --> 00:03:14,440 Speaker 2: about the future. Yeah, you know, there are two Greg Lukianov, 52 00:03:14,480 --> 00:03:17,720 Speaker 2: who is with Fire, the Free speech organization, I'm going 53 00:03:17,760 --> 00:03:20,200 Speaker 2: to borrow his words because he said what we want 54 00:03:20,480 --> 00:03:26,760 Speaker 2: is maximum tolerance of other viewpoints and zero tolerance of violence, 55 00:03:27,400 --> 00:03:31,839 Speaker 2: and particularly on college campuses, over the last decades, we've 56 00:03:31,840 --> 00:03:35,520 Speaker 2: reversed that. Far too often it is minimal tolerance of 57 00:03:35,920 --> 00:03:39,640 Speaker 2: other viewpoints and far too much tolerance of violence, which 58 00:03:39,680 --> 00:03:41,960 Speaker 2: then cascades. And then, by the way, when you tell 59 00:03:42,000 --> 00:03:45,800 Speaker 2: people that words are violence, yeah, they want to retaliate 60 00:03:45,800 --> 00:03:49,040 Speaker 2: with violence. So like, there are people and I'm not 61 00:03:49,080 --> 00:03:51,000 Speaker 2: going to name check people or go through the receipts 62 00:03:51,040 --> 00:03:54,240 Speaker 2: because it's deeply depressing, But there are too many people 63 00:03:54,280 --> 00:03:59,320 Speaker 2: who believe that Charlie Kirk's words were an existential threat 64 00:03:59,360 --> 00:04:04,680 Speaker 2: to them. That was never true. Because he was speaking, 65 00:04:05,440 --> 00:04:09,320 Speaker 2: he faced an existential threat. I mean, I'm obviously thinking 66 00:04:09,320 --> 00:04:13,080 Speaker 2: about his family quite a lot. He has two young kids. 67 00:04:13,080 --> 00:04:16,840 Speaker 2: I believe they are about one and four. His wife, Erica, 68 00:04:18,600 --> 00:04:20,080 Speaker 2: will have a very tough road. 69 00:04:20,080 --> 00:04:20,720 Speaker 3: Ahead of her. 70 00:04:21,040 --> 00:04:24,400 Speaker 2: And you know, they were people of faith and that 71 00:04:24,640 --> 00:04:28,320 Speaker 2: the promise is that God will be with them, and 72 00:04:28,360 --> 00:04:30,320 Speaker 2: God will be with his kids and with her as 73 00:04:30,360 --> 00:04:34,599 Speaker 2: they go through this, and that's real. But sometimes it 74 00:04:34,640 --> 00:04:38,280 Speaker 2: will feel impossible for that to be real, and it's hard. 75 00:04:38,400 --> 00:04:42,560 Speaker 2: It's hard for me to think about someone starting that 76 00:04:42,960 --> 00:04:45,680 Speaker 2: journey to have this be her life. 77 00:04:46,000 --> 00:04:48,680 Speaker 3: It's just there's so many things that are sad about it. 78 00:04:49,760 --> 00:04:53,080 Speaker 1: I loved how openly Charlie lived his faith, and so 79 00:04:53,360 --> 00:04:56,760 Speaker 1: if you're listening to this, I think let's just pray 80 00:04:56,800 --> 00:05:00,760 Speaker 1: for his family and pray for the country as we 81 00:05:00,800 --> 00:05:16,039 Speaker 1: move forward. Thank you for listening. Guys. We are back 82 00:05:16,080 --> 00:05:17,760 Speaker 1: on normally normal takes. 83 00:05:17,800 --> 00:05:18,839 Speaker 5: THEE heard. 84 00:05:18,960 --> 00:05:21,440 Speaker 2: I'm guys, happy and I'm my own markets. 85 00:05:21,520 --> 00:05:22,920 Speaker 1: How does you look going? My captain? 86 00:05:23,880 --> 00:05:24,120 Speaker 3: Good? 87 00:05:24,320 --> 00:05:26,640 Speaker 2: You know, hectic, trying to keep up with all the 88 00:05:26,720 --> 00:05:28,800 Speaker 2: new extracurriculars for the children. 89 00:05:29,040 --> 00:05:31,840 Speaker 3: I often take them on and then I'm like, oh, 90 00:05:31,839 --> 00:05:33,040 Speaker 3: I have to do this every week. 91 00:05:34,839 --> 00:05:37,360 Speaker 1: I went to back to school night last night for 92 00:05:37,600 --> 00:05:39,760 Speaker 1: my youngest son and like they were like, any, no, 93 00:05:39,880 --> 00:05:41,680 Speaker 1: continue signing the planner every night. 94 00:05:41,720 --> 00:05:43,880 Speaker 4: And I was like signing the planner every night. I 95 00:05:43,960 --> 00:05:45,080 Speaker 4: haven't even signed it once. 96 00:05:45,720 --> 00:05:48,359 Speaker 2: Yeah, same girl saying I have a I have a 97 00:05:48,440 --> 00:05:50,839 Speaker 2: very type a child who if the planner needs to 98 00:05:50,839 --> 00:05:55,080 Speaker 2: get signed, she makes sure it's signed right outside of that. 99 00:05:55,400 --> 00:05:56,480 Speaker 3: Yeah, it's not happening. 100 00:05:56,520 --> 00:05:58,600 Speaker 4: That's the first child, or the second. 101 00:05:58,480 --> 00:05:59,760 Speaker 3: The second child a second. 102 00:06:01,000 --> 00:06:03,679 Speaker 2: I have to ask you if you share my maybe 103 00:06:03,720 --> 00:06:07,200 Speaker 2: semi problematic take, which is that when you get asked 104 00:06:07,200 --> 00:06:09,800 Speaker 2: to do something daily as a parent for one of 105 00:06:09,800 --> 00:06:13,279 Speaker 2: your children, one I don't like it, don't care for it, 106 00:06:14,200 --> 00:06:17,119 Speaker 2: don't put this on my plate. Let the homework show 107 00:06:17,200 --> 00:06:19,520 Speaker 2: that we did the home That not a plan we 108 00:06:19,640 --> 00:06:20,320 Speaker 2: need to sign that. 109 00:06:20,400 --> 00:06:22,840 Speaker 4: I saw the planner like you did the homework. Just 110 00:06:23,000 --> 00:06:24,719 Speaker 4: take it in to school and give it to the teacher. 111 00:06:24,920 --> 00:06:27,560 Speaker 2: But I have noticed a correlation, and that is that 112 00:06:27,600 --> 00:06:32,200 Speaker 2: people who give me daily work often are pre kids 113 00:06:32,279 --> 00:06:35,560 Speaker 2: in their life chapter and people who do not give 114 00:06:35,560 --> 00:06:38,880 Speaker 2: me daily work have several children. Because there's a different 115 00:06:38,960 --> 00:06:41,520 Speaker 2: understanding of what I'm capable of. 116 00:06:42,040 --> 00:06:42,719 Speaker 4: It's interesting. 117 00:06:43,520 --> 00:06:45,800 Speaker 1: I don't know, No, I think that the teachers in 118 00:06:45,839 --> 00:06:48,880 Speaker 1: this case have kids, and I'm sure it is just 119 00:06:49,400 --> 00:06:52,280 Speaker 1: you know, policy of the school or whatever. 120 00:06:52,560 --> 00:06:54,000 Speaker 3: Is blown up by your teachers. 121 00:06:54,279 --> 00:06:59,560 Speaker 1: Yeah, I can't do stuff like this every day. And 122 00:06:59,600 --> 00:07:03,560 Speaker 1: plus my other two kids, this is the youngest child, 123 00:07:04,000 --> 00:07:07,320 Speaker 1: the older two are you know, I got this joke 124 00:07:07,360 --> 00:07:10,360 Speaker 1: from Modern Family, But they're completely self cleaning ovens. 125 00:07:10,400 --> 00:07:12,080 Speaker 4: Like I don't know what they're doing. 126 00:07:12,400 --> 00:07:15,320 Speaker 1: My oldest I haven't been involved in her school work 127 00:07:15,400 --> 00:07:16,680 Speaker 1: since she was like in first grade. 128 00:07:16,760 --> 00:07:18,480 Speaker 4: It's all been like on her own. 129 00:07:19,520 --> 00:07:21,920 Speaker 1: So now having it like chase this kid around, be like, 130 00:07:22,000 --> 00:07:22,920 Speaker 1: let me sign your planner. 131 00:07:23,680 --> 00:07:26,680 Speaker 3: No, I'm not a fan at it. We're in the 132 00:07:26,680 --> 00:07:28,440 Speaker 3: car every day, like, just give it to me while 133 00:07:28,440 --> 00:07:29,040 Speaker 3: I'm driving. 134 00:07:31,480 --> 00:07:33,280 Speaker 4: I don't say, I don't want to say. I'm just 135 00:07:33,320 --> 00:07:34,160 Speaker 4: like sign it for me. 136 00:07:34,360 --> 00:07:37,280 Speaker 3: But you know that's a life skill too. 137 00:07:37,560 --> 00:07:41,320 Speaker 2: Okay, all right, shall we to the news, which is, 138 00:07:41,920 --> 00:07:46,640 Speaker 2: as usual, more sad than our day to day lives. Yeah, 139 00:07:46,880 --> 00:07:52,240 Speaker 2: we are still talking about the tragic murder of Arena Zarutska, 140 00:07:52,560 --> 00:07:55,240 Speaker 2: a twenty three year old Ukrainian immigrant who was writing 141 00:07:55,240 --> 00:07:59,520 Speaker 2: a Charlotte light Rail public transit system and was in 142 00:07:59,560 --> 00:08:04,520 Speaker 2: a totally unprovoked, insane interaction that is caught on tape, 143 00:08:05,600 --> 00:08:08,160 Speaker 2: stabbed to death by a man on the train who 144 00:08:08,280 --> 00:08:10,480 Speaker 2: we now know to be a four time, fourteen time, 145 00:08:10,640 --> 00:08:15,160 Speaker 2: arrested several time, felons several times, violent felon, and schizophrenic 146 00:08:15,280 --> 00:08:18,720 Speaker 2: man who was walking the streets and riding the train. 147 00:08:19,280 --> 00:08:23,680 Speaker 3: And the response to this has been enlightening. 148 00:08:23,560 --> 00:08:26,040 Speaker 4: Right, That's the thing this exposed so much. 149 00:08:26,120 --> 00:08:28,520 Speaker 1: This is why it's a two day story on normally, 150 00:08:28,640 --> 00:08:31,880 Speaker 1: because the conversation around it has been so. 151 00:08:32,080 --> 00:08:34,440 Speaker 4: Crazy that we have to talk about it. 152 00:08:34,920 --> 00:08:39,120 Speaker 1: I think the left is just grappling with what they 153 00:08:39,160 --> 00:08:43,040 Speaker 1: can say here, and what they are not saying is 154 00:08:43,400 --> 00:08:45,600 Speaker 1: we need to keep people in prison for longer, we 155 00:08:45,640 --> 00:08:49,920 Speaker 1: need to arrest more people, we need to contain this 156 00:08:50,120 --> 00:08:50,760 Speaker 1: kind of thing. 157 00:08:51,080 --> 00:08:52,840 Speaker 4: Instead, what they're saying. 158 00:08:52,960 --> 00:08:56,880 Speaker 1: Is a bunch of gibberish that doesn't apply to anything. 159 00:08:58,080 --> 00:09:03,280 Speaker 1: John Favreau, he's a Obama bro podcaster at pod Saves America, 160 00:09:03,360 --> 00:09:07,320 Speaker 1: founder of Crooked Media. He wrote this tweet where he 161 00:09:07,440 --> 00:09:11,640 Speaker 1: pretended to say, you know, Democrats to just admit that 162 00:09:11,720 --> 00:09:14,680 Speaker 1: some politicians have been way too lenient in releasing dangerous 163 00:09:14,720 --> 00:09:15,480 Speaker 1: criminals from. 164 00:09:15,320 --> 00:09:16,559 Speaker 4: Prison these last few years. 165 00:09:16,880 --> 00:09:19,319 Speaker 1: And he lists some crimes committed by people they let 166 00:09:19,360 --> 00:09:21,960 Speaker 1: out early, and of course all of those crimes were 167 00:09:21,960 --> 00:09:25,120 Speaker 1: committed by people let out by Donald Trump. These are 168 00:09:25,640 --> 00:09:30,240 Speaker 1: pardon recipients largely from January sixth, I think that, you know, 169 00:09:30,440 --> 00:09:33,480 Speaker 1: he thinks he's got a gotcha. I'm like, rearrest them 170 00:09:33,480 --> 00:09:34,600 Speaker 1: and throw away the key. 171 00:09:34,520 --> 00:09:38,280 Speaker 2: Like I know, so you know, so we both were like, yeah, 172 00:09:38,320 --> 00:09:40,079 Speaker 2: the violent ones shouldn't be pardoned. 173 00:09:40,960 --> 00:09:41,120 Speaker 3: Right. 174 00:09:41,760 --> 00:09:44,160 Speaker 2: Two, if you take this as a as a real point, 175 00:09:44,200 --> 00:09:47,560 Speaker 2: which it's not. It is a it's his gut reaction, 176 00:09:47,640 --> 00:09:50,800 Speaker 2: which is to watch the tragic public murder of a 177 00:09:50,800 --> 00:09:55,520 Speaker 2: young person and make a joke about January sixth. But 178 00:09:55,559 --> 00:09:58,040 Speaker 2: if you're to take it as a real point, and 179 00:09:58,080 --> 00:09:59,680 Speaker 2: by the way, I thought it was sincere at first, 180 00:09:59,679 --> 00:10:01,400 Speaker 2: and those like, oh, I guess we're not doing the 181 00:10:01,400 --> 00:10:03,319 Speaker 2: abundance thing on crime, but right it right? 182 00:10:03,640 --> 00:10:04,880 Speaker 3: Yeah? 183 00:10:05,040 --> 00:10:09,040 Speaker 2: Do I think January sixth folks are in danger of 184 00:10:09,320 --> 00:10:10,559 Speaker 2: violent recidivism? 185 00:10:10,880 --> 00:10:11,240 Speaker 1: I do not. 186 00:10:11,840 --> 00:10:12,439 Speaker 3: I just don't. 187 00:10:13,320 --> 00:10:19,760 Speaker 2: I think it's different, material different. And the problem once 188 00:10:19,800 --> 00:10:24,560 Speaker 2: again is that if you say concerns about this are 189 00:10:25,000 --> 00:10:30,280 Speaker 2: out of bounds, racist, crazy, the domain of only people 190 00:10:30,280 --> 00:10:35,319 Speaker 2: who love every January sixth and everything that happened that day, 191 00:10:35,400 --> 00:10:36,600 Speaker 2: you don't make. 192 00:10:38,160 --> 00:10:39,520 Speaker 3: The concerns go away. 193 00:10:39,960 --> 00:10:43,680 Speaker 2: You just characterize the concerns and the right that shares 194 00:10:43,720 --> 00:10:46,960 Speaker 2: them as very reasonable exactly. 195 00:10:47,160 --> 00:10:49,600 Speaker 1: You know, on a previous episode, I said that the 196 00:10:49,640 --> 00:10:52,400 Speaker 1: most lib thing about me is that I think that 197 00:10:52,520 --> 00:10:56,360 Speaker 1: we should treat violent offenders and non violent offenders differently, 198 00:10:56,720 --> 00:10:59,400 Speaker 1: and I think that non violent offenders should get the 199 00:10:59,440 --> 00:11:02,560 Speaker 1: cushier prison and you know, should get different things. 200 00:11:03,080 --> 00:11:05,199 Speaker 4: But it turns out that's not even a lib thing anymore. 201 00:11:05,240 --> 00:11:08,200 Speaker 1: They don't they don't see a difference between violent defenders 202 00:11:08,200 --> 00:11:09,320 Speaker 1: and non violent offenders. 203 00:11:09,320 --> 00:11:10,400 Speaker 4: I get to be conservative. 204 00:11:10,440 --> 00:11:14,040 Speaker 2: Paraye Well and Charlie Cook characterized it well when it 205 00:11:14,040 --> 00:11:17,160 Speaker 2: comes to crime. I have been somebody who's very open 206 00:11:17,240 --> 00:11:20,720 Speaker 2: to criminal justice reform and thinks there can be an 207 00:11:20,760 --> 00:11:21,760 Speaker 2: excessive force. 208 00:11:21,600 --> 00:11:24,160 Speaker 3: Problem like that's it's a real exactly Okay. 209 00:11:24,559 --> 00:11:26,720 Speaker 2: Now I want to be honest about those statistics and 210 00:11:26,760 --> 00:11:28,240 Speaker 2: who it affects, and I do not. 211 00:11:29,280 --> 00:11:30,319 Speaker 3: I do not want to like. 212 00:11:31,400 --> 00:11:34,600 Speaker 2: Paint with a super broad brush and defund police for instance. Right, 213 00:11:35,960 --> 00:11:40,640 Speaker 2: But I'm squishy in that I want the Constitution applied 214 00:11:40,920 --> 00:11:45,080 Speaker 2: correctly to every person so that our system, our miracle 215 00:11:45,160 --> 00:11:47,440 Speaker 2: system of justice, which has its faults but is a 216 00:11:47,480 --> 00:11:51,439 Speaker 2: miracle in the history of humankind, can exist and treat 217 00:11:51,480 --> 00:11:53,480 Speaker 2: people fairly. Because I do think people get dragged into 218 00:11:53,520 --> 00:11:55,920 Speaker 2: the criminal justice system and their lives turned in a 219 00:11:55,960 --> 00:11:59,320 Speaker 2: bad direction when we could have, perhaps with non violent folks, 220 00:11:59,320 --> 00:12:00,640 Speaker 2: turned them in a in a better direction. 221 00:12:00,720 --> 00:12:03,480 Speaker 3: Okay, fine, this guy's not that. 222 00:12:04,720 --> 00:12:07,600 Speaker 2: This guy has not sent that a group of social 223 00:12:07,640 --> 00:12:11,319 Speaker 2: workers out and pick him up safely and every and. 224 00:12:11,240 --> 00:12:13,360 Speaker 3: Put him in a statement program, and everything's fine. It's 225 00:12:13,400 --> 00:12:13,840 Speaker 3: not real. 226 00:12:15,160 --> 00:12:16,800 Speaker 4: It's not And you know, Peter J. 227 00:12:16,960 --> 00:12:21,200 Speaker 1: Hassen points out that Favreau had defund police activists on 228 00:12:21,280 --> 00:12:24,920 Speaker 1: his podcast in twenty twenty. Clearly is not actually interested 229 00:12:25,040 --> 00:12:28,720 Speaker 1: in fighting any crime. He's just interested in making a 230 00:12:28,720 --> 00:12:32,120 Speaker 1: anti Donald Trump point. So you know, when he's looking 231 00:12:32,120 --> 00:12:34,080 Speaker 1: for the people that did this, it was you, dude, 232 00:12:34,160 --> 00:12:34,600 Speaker 1: it was you. 233 00:12:35,440 --> 00:12:38,520 Speaker 2: Well, I like, I just think the more that you 234 00:12:38,600 --> 00:12:42,520 Speaker 2: make flippant jokes about this or tell people that it's 235 00:12:42,559 --> 00:12:46,040 Speaker 2: statistically rare that this happens and they shouldn't have feelings 236 00:12:46,040 --> 00:12:49,760 Speaker 2: about it, one is it is statistically rare. And also 237 00:12:50,200 --> 00:12:54,240 Speaker 2: the randomness of it is very scary to people because 238 00:12:54,280 --> 00:12:57,800 Speaker 2: as you as you said, she's not really putting, she's 239 00:12:57,840 --> 00:13:00,280 Speaker 2: not involved in any circles that would put her in 240 00:13:00,320 --> 00:13:00,920 Speaker 2: this position. 241 00:13:01,400 --> 00:13:04,079 Speaker 3: She's no one, No one's anticipating this. 242 00:13:05,559 --> 00:13:07,360 Speaker 2: And then it also went viral that we I don't 243 00:13:07,360 --> 00:13:09,680 Speaker 2: want to watch the whole video, but it went viral. Yeah, 244 00:13:09,720 --> 00:13:13,160 Speaker 2: there was certainly lag time in someone coming to her 245 00:13:13,200 --> 00:13:17,240 Speaker 2: aid at all, and people around her seemed disinterested to 246 00:13:17,320 --> 00:13:20,679 Speaker 2: an almost shocking degree, like I understand the guys in 247 00:13:20,720 --> 00:13:25,680 Speaker 2: the train and he still has a knife, so I Y, yeah, 248 00:13:25,920 --> 00:13:29,679 Speaker 2: but it does not take confronting him to look concerned 249 00:13:29,679 --> 00:13:30,360 Speaker 2: and hit nine. 250 00:13:30,240 --> 00:13:31,960 Speaker 3: One one on your phone exactly. 251 00:13:32,320 --> 00:13:35,080 Speaker 2: And later someone did come and try to like help 252 00:13:35,080 --> 00:13:39,960 Speaker 2: her and pressure on her. It's yeah, that video is 253 00:13:40,000 --> 00:13:43,320 Speaker 2: tough in so so so many ways, right, and. 254 00:13:43,240 --> 00:13:46,160 Speaker 1: Again the randomness of it, and you know, the it's 255 00:13:46,280 --> 00:13:47,760 Speaker 1: very it's a very rare occurrence. 256 00:13:47,840 --> 00:13:51,160 Speaker 4: Yes, it's a very rare occurrence, but really not rare enough. 257 00:13:51,360 --> 00:13:54,160 Speaker 1: And you know, somebody tried to gotcha on us on 258 00:13:54,760 --> 00:13:58,720 Speaker 1: x when we posted our episode from a few days ago, 259 00:13:59,040 --> 00:14:01,360 Speaker 1: and they tweeted a link at us and they said, 260 00:14:01,360 --> 00:14:04,040 Speaker 1: you're covering this and it was a story of a 261 00:14:04,120 --> 00:14:07,000 Speaker 1: man sat behind a stranger on the bus, slit her 262 00:14:07,040 --> 00:14:08,440 Speaker 1: throat and unprovoked attack. 263 00:14:09,120 --> 00:14:10,480 Speaker 4: The man in this story is white. 264 00:14:10,480 --> 00:14:12,400 Speaker 1: I think the implication is that you and I are 265 00:14:12,440 --> 00:14:15,440 Speaker 1: not covering it because he's white. I hadn't heard about this, 266 00:14:15,600 --> 00:14:17,640 Speaker 1: and so, yeah, I think this story should be big too. 267 00:14:17,640 --> 00:14:21,640 Speaker 1: It happened in Tulsa in August. Absolutely, this is another 268 00:14:21,840 --> 00:14:24,120 Speaker 1: story where somebody. 269 00:14:23,880 --> 00:14:27,440 Speaker 4: Violent acted violent on public transport. 270 00:14:27,520 --> 00:14:30,960 Speaker 1: This person was also a fugitive from a justice warrant 271 00:14:31,040 --> 00:14:33,960 Speaker 1: from the state of Missouri, so already had a previous 272 00:14:34,680 --> 00:14:35,840 Speaker 1: interaction with the law. 273 00:14:36,160 --> 00:14:38,080 Speaker 4: Again, you're not going to get me in a gotcha. 274 00:14:38,240 --> 00:14:39,760 Speaker 4: I think this should be a big story too. 275 00:14:39,840 --> 00:14:43,480 Speaker 1: I think that somebody who has a warrant for their 276 00:14:43,600 --> 00:14:44,640 Speaker 1: arrest from Missouri. 277 00:14:45,120 --> 00:14:47,160 Speaker 3: Uh, off the streets. Yeah, should have been. 278 00:14:47,040 --> 00:14:49,280 Speaker 4: Off the streets. So nice try. 279 00:14:49,400 --> 00:14:52,680 Speaker 1: But I'm actually fully supportive in covering this story. 280 00:14:53,040 --> 00:14:56,720 Speaker 2: And there's another part of this too that in this 281 00:14:57,160 --> 00:15:01,920 Speaker 2: story would make it a national story if the media 282 00:15:02,120 --> 00:15:05,520 Speaker 2: wasn't disinterested in this narrative, and it is that there 283 00:15:05,600 --> 00:15:06,960 Speaker 2: is a visual element. 284 00:15:08,200 --> 00:15:10,680 Speaker 3: We both work in news in the Tulsa case. 285 00:15:10,720 --> 00:15:12,280 Speaker 2: To my knowledge, I could be wrong, but I just 286 00:15:12,360 --> 00:15:15,320 Speaker 2: looked it up and there's not a surveillance. 287 00:15:14,840 --> 00:15:18,320 Speaker 3: Video of this happening. That was like, maybe it's just withheld. 288 00:15:18,480 --> 00:15:22,240 Speaker 2: I understand that, but when something has a visual element 289 00:15:22,320 --> 00:15:24,920 Speaker 2: like that, it becomes. 290 00:15:24,440 --> 00:15:25,440 Speaker 3: A bigger story. 291 00:15:25,480 --> 00:15:27,440 Speaker 2: Because it is part of news packages and that is 292 00:15:27,480 --> 00:15:31,520 Speaker 2: how newsrooms work. So it is very noticeable when it 293 00:15:31,600 --> 00:15:35,520 Speaker 2: doesn't become a story when there is that visual element. 294 00:15:35,560 --> 00:15:39,400 Speaker 2: But I echo you on this Tulsa killing in which 295 00:15:40,040 --> 00:15:44,480 Speaker 2: these are these are quite analogous victims, and he should 296 00:15:44,480 --> 00:15:46,520 Speaker 2: not have been on transit. A couple of a lot 297 00:15:46,520 --> 00:15:48,920 Speaker 2: of other folks have chimed in and said, you know, 298 00:15:49,600 --> 00:15:51,400 Speaker 2: when I go in public transit, and I do it. 299 00:15:51,360 --> 00:15:55,040 Speaker 3: Too, I'm constantly scanning. I am, I am. 300 00:15:55,400 --> 00:16:00,120 Speaker 2: I am encountering very mentally ill people, sometimes scary, the 301 00:16:00,120 --> 00:16:03,160 Speaker 2: ones one with knitting needles one time who yelled many 302 00:16:03,200 --> 00:16:05,040 Speaker 2: many fwords sitting across from me, and I had to 303 00:16:05,080 --> 00:16:08,280 Speaker 2: move on the train. And it's like because she had 304 00:16:08,280 --> 00:16:12,240 Speaker 2: a weapon, and a lot of people are looking around 305 00:16:12,280 --> 00:16:15,080 Speaker 2: and saying to democrats and media, but I repeat myself, 306 00:16:16,400 --> 00:16:17,880 Speaker 2: it doesn't have to. 307 00:16:17,840 --> 00:16:19,560 Speaker 4: Be this way, It really doesn't. 308 00:16:19,640 --> 00:16:21,640 Speaker 3: Why do we have to accept this right? 309 00:16:21,720 --> 00:16:25,400 Speaker 1: I think part of why she was sort of you know, 310 00:16:25,600 --> 00:16:28,120 Speaker 1: in her phone and not paying attention is that she 311 00:16:28,240 --> 00:16:30,640 Speaker 1: expected that train to be safe, and I think you 312 00:16:30,680 --> 00:16:33,520 Speaker 1: and I don't have that expectation. 313 00:16:33,160 --> 00:16:36,320 Speaker 4: And that's a bad thing for us. I was thinking 314 00:16:36,320 --> 00:16:39,360 Speaker 4: about this I almost when I haven't. You know, I 315 00:16:39,440 --> 00:16:40,160 Speaker 4: live in South Florida. 316 00:16:40,240 --> 00:16:42,640 Speaker 1: Now I don't have a lot of opportunities for public transportation, 317 00:16:42,840 --> 00:16:46,160 Speaker 1: but when I did, I would always sit with my 318 00:16:46,240 --> 00:16:49,040 Speaker 1: back to the wall so nobody could be behind me. 319 00:16:49,720 --> 00:16:51,200 Speaker 1: I would sit, you know, in a seat where I 320 00:16:51,200 --> 00:16:54,440 Speaker 1: could see everything. Since I was a child in Brooklyn, 321 00:16:54,680 --> 00:16:59,440 Speaker 1: I learned defense mechanisms on public transportation, on how to 322 00:16:59,520 --> 00:17:03,920 Speaker 1: be safe. And that's sad and unfortunate, and it shouldn't 323 00:17:04,000 --> 00:17:06,480 Speaker 1: have to be this way. And that's what people on 324 00:17:06,520 --> 00:17:08,520 Speaker 1: the right are saying, that we don't want it to 325 00:17:08,560 --> 00:17:10,920 Speaker 1: be like this anymore. We want change, We want to 326 00:17:10,960 --> 00:17:15,959 Speaker 1: see things altered that we don't have to be, you know, 327 00:17:16,440 --> 00:17:20,000 Speaker 1: scanning constantly in a car, scanning, you know, looking around 328 00:17:20,160 --> 00:17:23,600 Speaker 1: and putting ourselves in a defensive position to escape. 329 00:17:24,080 --> 00:17:25,760 Speaker 4: You know, we shouldn't have to live like this. 330 00:17:26,040 --> 00:17:28,639 Speaker 2: Well, and in this way, by the way, groups together 331 00:17:28,720 --> 00:17:32,600 Speaker 2: two different kinds of granted, statistically rare but very traumatic events, 332 00:17:32,600 --> 00:17:35,359 Speaker 2: which is mass shootings in this kind of thing, both 333 00:17:35,400 --> 00:17:39,560 Speaker 2: perpetrated by very obviously violent, mentally ill people, yeah, who 334 00:17:39,680 --> 00:17:43,560 Speaker 2: had shown violent propensities in the past. I do think 335 00:17:43,640 --> 00:17:45,800 Speaker 2: that the action we probably need to have a discussion 336 00:17:45,800 --> 00:17:48,000 Speaker 2: about is how you get those people off. 337 00:17:47,880 --> 00:17:50,040 Speaker 3: The streets for more permanent periods of time. 338 00:17:51,080 --> 00:17:53,560 Speaker 2: And again, it's not like just a couple social workers 339 00:17:53,560 --> 00:17:56,840 Speaker 2: show up at your house. This this point, this man's 340 00:17:56,880 --> 00:18:01,280 Speaker 2: poor family tried to have him committed and ran up 341 00:18:01,280 --> 00:18:02,400 Speaker 2: against like problem. 342 00:18:02,840 --> 00:18:07,840 Speaker 3: The way I understand it, the cabal of NGOs just like, well, 343 00:18:07,880 --> 00:18:09,720 Speaker 3: they're saying what Van Jones says about him. Can we 344 00:18:09,760 --> 00:18:10,760 Speaker 3: play that clip real quick. 345 00:18:11,080 --> 00:18:13,719 Speaker 6: It's not about cashless bail or no cashless bill. It's 346 00:18:13,760 --> 00:18:15,760 Speaker 6: about the fact that we don't know how to deal 347 00:18:16,119 --> 00:18:17,840 Speaker 6: with people who were hurting in the way this man 348 00:18:17,880 --> 00:18:20,640 Speaker 6: was hurting. Hurt people, hurt people. What happened was horrible, 349 00:18:20,920 --> 00:18:23,840 Speaker 6: but it becomes an opportunity for people to jump on vandwagons. 350 00:18:23,840 --> 00:18:25,639 Speaker 6: And then for someone like Charlie Kirk, you should be 351 00:18:25,680 --> 00:18:29,440 Speaker 6: ashamed of himself. No one mentioned the word race, white, black, 352 00:18:29,520 --> 00:18:32,239 Speaker 6: or anything except him. What people mention is that the 353 00:18:32,359 --> 00:18:33,800 Speaker 6: horror of what happened to this young woman. 354 00:18:34,119 --> 00:18:34,760 Speaker 3: No, that's not true. 355 00:18:34,960 --> 00:18:37,880 Speaker 2: The perpetrator did, in fact mention her race and said 356 00:18:37,920 --> 00:18:39,920 Speaker 2: that he got her, He got that white girl. 357 00:18:39,960 --> 00:18:40,600 Speaker 3: It's on tape. 358 00:18:40,640 --> 00:18:44,080 Speaker 2: Yeah, But for his first point, hurt people hurt people 359 00:18:44,280 --> 00:18:46,240 Speaker 2: is not the message that's going to solve this in 360 00:18:46,280 --> 00:18:46,720 Speaker 2: the future. 361 00:18:46,920 --> 00:18:47,120 Speaker 3: Yeah. 362 00:18:47,160 --> 00:18:50,360 Speaker 1: That's used for like somebody whose parents were mean to them, 363 00:18:50,440 --> 00:18:52,879 Speaker 1: so then they're mean to their girlfriend when they grow up. 364 00:18:52,920 --> 00:18:55,920 Speaker 1: It's not used for somebody smashing and slashing the woman 365 00:18:55,960 --> 00:18:58,639 Speaker 1: in front of him. I'm sorry, that's not the correct 366 00:18:58,720 --> 00:18:59,680 Speaker 1: usage of hurt people. 367 00:18:59,720 --> 00:19:00,359 Speaker 4: Hurt people. 368 00:19:00,640 --> 00:19:04,200 Speaker 2: Yeah, and then one more clip Caroline Downey, a buddy 369 00:19:04,240 --> 00:19:07,520 Speaker 2: who writes at National Review She's great Jugo's full bore 370 00:19:08,000 --> 00:19:11,400 Speaker 2: on the same CNN show to say like, hey, maybe 371 00:19:11,400 --> 00:19:12,760 Speaker 2: there is another option here. 372 00:19:12,760 --> 00:19:17,240 Speaker 3: It is he served time for his violent offenses, not 373 00:19:17,320 --> 00:19:18,520 Speaker 3: for his schizophrenia. 374 00:19:21,160 --> 00:19:23,560 Speaker 5: I know what I'm saying that that was compounding this 375 00:19:23,800 --> 00:19:26,600 Speaker 5: entire issue, the fact that he lashed out violently on that. 376 00:19:26,800 --> 00:19:26,960 Speaker 3: I know. 377 00:19:27,160 --> 00:19:30,199 Speaker 6: I'm just saying he did actually serve time for the 378 00:19:30,240 --> 00:19:31,840 Speaker 6: violent offenses that he committed. 379 00:19:31,880 --> 00:19:34,280 Speaker 5: But he was a career criminal, a repeat offender who 380 00:19:34,320 --> 00:19:37,320 Speaker 5: was let back onto our streets despite a really bad 381 00:19:37,359 --> 00:19:39,679 Speaker 5: criminal record that suggests he should have been locked away 382 00:19:40,000 --> 00:19:43,119 Speaker 5: for life because he was threatening the public, He was 383 00:19:43,119 --> 00:19:44,320 Speaker 5: a menace to society. 384 00:19:44,680 --> 00:19:47,560 Speaker 3: He should have been locked away for life for what 385 00:19:47,680 --> 00:19:51,280 Speaker 3: Now he should have schizophrenia? Want to you actually said that. 386 00:19:52,960 --> 00:20:00,159 Speaker 7: Said that, he said he should be locked away for 387 00:20:00,280 --> 00:20:04,679 Speaker 7: life for schizophrenia institutionalized. Yes, And if you're saying they 388 00:20:04,680 --> 00:20:06,960 Speaker 7: should not, you're saying that young women like you and 389 00:20:07,000 --> 00:20:11,320 Speaker 7: me are basically just we're lambs into the slaughter. You 390 00:20:11,359 --> 00:20:13,920 Speaker 7: go on public transportation in this city, that could happen 391 00:20:13,920 --> 00:20:17,080 Speaker 7: to any single one of us. I use public transit constantly. 392 00:20:17,560 --> 00:20:19,600 Speaker 3: That is completely unhinged. 393 00:20:19,600 --> 00:20:22,439 Speaker 7: Frankly, people shouldn't be locked away for mental illness. They 394 00:20:22,480 --> 00:20:25,080 Speaker 7: should be treated for it in institution. 395 00:20:25,680 --> 00:20:29,240 Speaker 2: Yes, m I mean we used to do this, and 396 00:20:30,119 --> 00:20:33,160 Speaker 2: it's tricky because it's a liberty question. I don't want 397 00:20:33,160 --> 00:20:36,960 Speaker 2: people being like involuntarily committed at the drop of a hat. 398 00:20:37,119 --> 00:20:40,840 Speaker 2: But someone who has many violent offenses and is diagnosed 399 00:20:40,840 --> 00:20:41,320 Speaker 2: skis for. 400 00:20:41,560 --> 00:20:45,000 Speaker 4: A hard call. We gotta yeah. And the way that 401 00:20:45,040 --> 00:20:45,960 Speaker 4: they acted. 402 00:20:45,760 --> 00:20:49,199 Speaker 1: Is if she was crazy, and who would believe this. 403 00:20:49,400 --> 00:20:51,760 Speaker 1: Most people would believe this, Most people would want that. 404 00:20:51,880 --> 00:20:55,560 Speaker 1: Most people would choose that, and they would choose it 405 00:20:55,600 --> 00:20:57,800 Speaker 1: even if it was their family member, like this man's 406 00:20:57,840 --> 00:20:59,600 Speaker 1: family wanted to do to him. 407 00:21:00,080 --> 00:21:02,040 Speaker 2: That's the problem because many families get stuck in this 408 00:21:02,080 --> 00:21:06,080 Speaker 2: position because you have an adult citizen who you cannot force. 409 00:21:06,160 --> 00:21:08,320 Speaker 2: Often a male who is stronger than the rest of 410 00:21:08,320 --> 00:21:10,200 Speaker 2: his family who you cannot force. 411 00:21:10,000 --> 00:21:11,000 Speaker 3: To stay on his medication. 412 00:21:11,080 --> 00:21:14,359 Speaker 2: But in an institutionalized situation, yeah, they could be on 413 00:21:14,480 --> 00:21:15,240 Speaker 2: daily medication. 414 00:21:15,400 --> 00:21:18,320 Speaker 1: And CNN panels will tell you that, no, you cannot 415 00:21:18,320 --> 00:21:20,359 Speaker 1: institutionalize your violent family member. 416 00:21:20,400 --> 00:21:22,240 Speaker 3: How dare you we need some options? 417 00:21:22,760 --> 00:21:25,080 Speaker 4: That'd be nice? That would be nice. 418 00:21:25,400 --> 00:21:28,560 Speaker 1: We'll be right back on normally where we'll talk about 419 00:21:28,760 --> 00:21:32,399 Speaker 1: the Biden job numbers. Was anything real about the Biden administration? 420 00:21:32,640 --> 00:21:39,360 Speaker 1: Be right back on normally. Welcome back on normally where 421 00:21:39,480 --> 00:21:44,679 Speaker 1: a giant downward revision of jobs from April twenty twenty 422 00:21:44,680 --> 00:21:47,919 Speaker 1: four to March twenty twenty five has just taken place, 423 00:21:48,200 --> 00:21:51,560 Speaker 1: and it really makes me think, what the hell's going 424 00:21:51,600 --> 00:21:54,280 Speaker 1: on over there? I don't understand how this happens. 425 00:21:54,320 --> 00:21:55,680 Speaker 4: How how do you have an. 426 00:21:55,800 --> 00:22:00,280 Speaker 1: Almost one million jobs revised downward? The actual numbers nine 427 00:22:00,400 --> 00:22:05,000 Speaker 1: hundred and eleven thousand, and that is quite a large 428 00:22:05,080 --> 00:22:07,920 Speaker 1: number to kind of make an error like nine hundred 429 00:22:07,960 --> 00:22:11,359 Speaker 1: and eleven sure, nine thousand, okay, almost a million? 430 00:22:11,440 --> 00:22:12,320 Speaker 4: How does that happen? 431 00:22:12,880 --> 00:22:13,200 Speaker 3: Yeah? 432 00:22:13,240 --> 00:22:17,280 Speaker 2: I just this bothers me immensely and I don't think 433 00:22:17,280 --> 00:22:19,240 Speaker 2: that I don't think that Trunk deals with it the 434 00:22:19,320 --> 00:22:22,520 Speaker 2: right way by just like firing people at the Bureau 435 00:22:22,560 --> 00:22:23,440 Speaker 2: of Labor Statistics. 436 00:22:23,440 --> 00:22:25,440 Speaker 3: But it's clear that we have a problem. 437 00:22:25,800 --> 00:22:28,119 Speaker 2: This is like my issue with the CDC, right, Like 438 00:22:28,480 --> 00:22:30,760 Speaker 2: I would like to build trust in these stats. 439 00:22:30,800 --> 00:22:32,680 Speaker 3: I would like to know that the stats are real. 440 00:22:33,000 --> 00:22:35,960 Speaker 2: Can we please get someone to rationally look through what 441 00:22:36,000 --> 00:22:37,520 Speaker 2: we're doing who can be. 442 00:22:37,480 --> 00:22:39,919 Speaker 3: Trustworthy and careful and then. 443 00:22:39,880 --> 00:22:42,320 Speaker 2: Correct the way that we do this work. And by 444 00:22:42,359 --> 00:22:44,840 Speaker 2: the way, along the way, you may find that someone 445 00:22:44,840 --> 00:22:46,960 Speaker 2: at BLS was like, yeah, I put the finger on 446 00:22:46,960 --> 00:22:47,919 Speaker 2: the scale in the other direction. 447 00:22:48,320 --> 00:22:51,439 Speaker 3: Yeah, right, Like that doesn't surprise me at this point. 448 00:22:52,080 --> 00:22:55,560 Speaker 1: Right, we don't know, And that continues to be the 449 00:22:55,600 --> 00:22:58,840 Speaker 1: problem of the Biden administration. It was so opaque and 450 00:22:58,880 --> 00:23:01,720 Speaker 1: close to us that we don't know what happened here. 451 00:23:03,000 --> 00:23:06,919 Speaker 1: It's it's baffling, it really is. People have dug up, 452 00:23:06,960 --> 00:23:09,520 Speaker 1: you know, old Biden tweets. Since I took office, we've 453 00:23:09,520 --> 00:23:12,320 Speaker 1: recovered all the jobs lost during the pandemic and added 454 00:23:12,359 --> 00:23:16,440 Speaker 1: over six million more. That turns out to be untrue. 455 00:23:17,680 --> 00:23:21,040 Speaker 1: And I don't know. I don't know how people have 456 00:23:21,320 --> 00:23:23,560 Speaker 1: any trust in anything that. 457 00:23:23,440 --> 00:23:24,720 Speaker 4: The government says anymore. 458 00:23:24,840 --> 00:23:28,640 Speaker 1: We were lied to for four years about so many 459 00:23:28,720 --> 00:23:30,960 Speaker 1: different things. And this is why, you know, I'm so 460 00:23:31,200 --> 00:23:35,480 Speaker 1: not a conspiracy theorist, and I am afraid that conspiracy 461 00:23:35,520 --> 00:23:38,399 Speaker 1: theories are gripping our country, both on the right and 462 00:23:38,480 --> 00:23:41,359 Speaker 1: the left. But you could see where they're coming from. 463 00:23:41,520 --> 00:23:44,400 Speaker 1: You could see where they're stemming from. They're like, everybody's 464 00:23:44,480 --> 00:23:47,600 Speaker 1: lying to us, and we are like, no, not everybody, 465 00:23:47,720 --> 00:23:48,560 Speaker 1: but lots of people. 466 00:23:49,600 --> 00:23:52,000 Speaker 3: It's easier to point out the ones that aren't right. 467 00:23:52,119 --> 00:23:54,280 Speaker 1: We're like, let's make a short list of the ones 468 00:23:54,320 --> 00:23:57,440 Speaker 1: who aren't lying to you. And that's that's the real 469 00:23:57,480 --> 00:23:59,959 Speaker 1: issue here. I think that public trust is so broken 470 00:24:00,640 --> 00:24:02,720 Speaker 1: that I don't know how we recover from it. 471 00:24:03,560 --> 00:24:05,160 Speaker 3: Yeah, it's it's really bad. 472 00:24:05,240 --> 00:24:06,800 Speaker 2: Can I point out and I'm going rogue here, but 473 00:24:06,840 --> 00:24:09,639 Speaker 2: I can I point out another statistics story that I 474 00:24:09,640 --> 00:24:13,119 Speaker 2: think is important and it is a terrible legacy of 475 00:24:13,160 --> 00:24:16,439 Speaker 2: the Biden administration because this broke yesterday. The National report 476 00:24:16,440 --> 00:24:21,480 Speaker 2: Card came out again yesterday and it is devastating. Yeah, 477 00:24:21,880 --> 00:24:23,760 Speaker 2: the decline and this is Wall Street Journal, The decline 478 00:24:23,760 --> 00:24:26,480 Speaker 2: in American K through twelve public education is getting worse. 479 00:24:26,960 --> 00:24:30,440 Speaker 2: More dispariating evidence came Tuesday with the nation's report card 480 00:24:31,200 --> 00:24:33,720 Speaker 2: showing a third of high school seniors lack basic reading 481 00:24:33,760 --> 00:24:37,560 Speaker 2: skills and nearly half can't do rudimentary math. 482 00:24:37,680 --> 00:24:40,440 Speaker 3: I mean, that's the headline. There's so much more in it. 483 00:24:40,760 --> 00:24:43,040 Speaker 2: For instance, the fact that low performing students, as you 484 00:24:43,080 --> 00:24:45,720 Speaker 2: and I pointed out what happened post pandemic, have fallen 485 00:24:45,760 --> 00:24:49,560 Speaker 2: off more precipitously than everyone else. That racial gaps have 486 00:24:49,560 --> 00:24:52,280 Speaker 2: gotten larger as a result, because you hurt those who 487 00:24:52,280 --> 00:24:52,840 Speaker 2: were hurting. 488 00:24:53,359 --> 00:24:55,720 Speaker 3: Yeah, speaking of that, you hurt those. 489 00:24:55,560 --> 00:24:58,960 Speaker 4: Who were applied accurately more. 490 00:24:59,119 --> 00:25:00,879 Speaker 3: Than those who had more resources. 491 00:25:01,080 --> 00:25:04,119 Speaker 2: And this is we can delve into it more in 492 00:25:04,160 --> 00:25:06,000 Speaker 2: the future, because I do think it's worth getting into 493 00:25:06,000 --> 00:25:09,560 Speaker 2: the weeds on it. The top lines are really devastating. 494 00:25:09,640 --> 00:25:15,240 Speaker 2: I am genuinely worried about literacy as a basic sort. 495 00:25:15,040 --> 00:25:18,040 Speaker 3: Of like existential issue for this society. 496 00:25:18,320 --> 00:25:23,240 Speaker 1: I absolutely agree. I don't know how we recover from this, 497 00:25:23,400 --> 00:25:25,119 Speaker 1: and I think that the whole I mean, there's so 498 00:25:25,119 --> 00:25:27,640 Speaker 1: many problems. You know, we could obviously get into all 499 00:25:27,680 --> 00:25:32,000 Speaker 1: of it, but the fact that we haven't been able 500 00:25:32,040 --> 00:25:36,080 Speaker 1: to recover to pre pandemic levels is yet more evidence 501 00:25:36,320 --> 00:25:42,479 Speaker 1: that closing schools was a giant, giant, giant mistake, and 502 00:25:42,520 --> 00:25:46,200 Speaker 1: nobody's taken responsibility for it. Nobody has said this was wrong, 503 00:25:46,640 --> 00:25:48,880 Speaker 1: we would never do it again. Instead, the people who 504 00:25:48,880 --> 00:25:52,200 Speaker 1: did it, like Randy Wingarden, are saying that she fought 505 00:25:52,200 --> 00:25:54,800 Speaker 1: to open schools, which I'm always like, who were you fighting? 506 00:25:54,880 --> 00:25:56,840 Speaker 4: Who was on the other side of that fight? 507 00:25:57,080 --> 00:25:58,159 Speaker 3: You know, she's got a. 508 00:25:58,160 --> 00:25:59,720 Speaker 2: New book out, by the way, she's got a new 509 00:25:59,720 --> 00:26:06,479 Speaker 2: book coming out about how like if I did it? Yeah, 510 00:26:06,680 --> 00:26:09,200 Speaker 2: that's what it should be. It's actually called it's actually 511 00:26:09,280 --> 00:26:12,240 Speaker 2: called why. I think it's called why Fascists Hate teachers, 512 00:26:12,400 --> 00:26:15,400 Speaker 2: because you know she has to arm everybody to man, 513 00:26:15,480 --> 00:26:16,920 Speaker 2: you quit your job for two years. 514 00:26:16,960 --> 00:26:18,920 Speaker 3: You stopped, right, you stopped. 515 00:26:19,359 --> 00:26:20,080 Speaker 4: Yeah. 516 00:26:20,520 --> 00:26:24,160 Speaker 1: I had a good liberal liberal friend who posted yesterday 517 00:26:24,240 --> 00:26:27,560 Speaker 1: or two days ago like fascists are always coming for 518 00:26:27,640 --> 00:26:29,920 Speaker 1: the science first, and I had to respond and I 519 00:26:30,000 --> 00:26:31,680 Speaker 1: was like, this is this about the COVID years. 520 00:26:33,119 --> 00:26:35,240 Speaker 2: Yeah, so we will do some more of that later 521 00:26:35,280 --> 00:26:37,080 Speaker 2: because I'd like to flesh it out. But that is 522 00:26:37,520 --> 00:26:40,800 Speaker 2: I didn't want to leave it untouched because it's yet 523 00:26:40,800 --> 00:26:46,040 Speaker 2: another statistical, uh and and very real crisis from lying 524 00:26:46,040 --> 00:26:46,679 Speaker 2: by the people. 525 00:26:46,920 --> 00:26:50,480 Speaker 1: Stop lying to the people and try to rebuild trust. 526 00:26:50,560 --> 00:26:52,760 Speaker 1: I don't know how we do it, but I think 527 00:26:52,800 --> 00:26:54,840 Speaker 1: that some steps should be taken in that direction. 528 00:26:55,240 --> 00:26:57,720 Speaker 2: Well, Kamala is trying to rebuild some trust with her 529 00:26:57,760 --> 00:27:00,879 Speaker 2: new book. Have more on that normally in a second. 530 00:27:04,200 --> 00:27:07,119 Speaker 2: All right, we're back on normally, and Kamala Harris has 531 00:27:07,160 --> 00:27:10,080 Speaker 2: a book coming out. It's called One hundred and seven Days. 532 00:27:09,200 --> 00:27:12,040 Speaker 2: It's going to be a real romp, according to the 533 00:27:12,760 --> 00:27:18,160 Speaker 2: excerpts we've seen thus far, one of which just says like, hey, 534 00:27:19,040 --> 00:27:22,639 Speaker 2: probably shouldn't have run that guy again, in reference to 535 00:27:23,440 --> 00:27:26,800 Speaker 2: Joe Biden, who was her boss, who was the person 536 00:27:26,840 --> 00:27:28,800 Speaker 2: that she was VP for, who was the person who 537 00:27:28,840 --> 00:27:31,080 Speaker 2: she would have been in a position to best assess 538 00:27:31,440 --> 00:27:32,680 Speaker 2: that he shouldn't run again. 539 00:27:33,280 --> 00:27:35,479 Speaker 3: And yet she didn't say nothing, did she? 540 00:27:35,760 --> 00:27:36,639 Speaker 4: No, she didn't she. 541 00:27:37,240 --> 00:27:40,560 Speaker 1: The excerpt that The Atlantic got has the quote, was 542 00:27:40,600 --> 00:27:43,400 Speaker 1: it grace or was it recklessness? In retrospect, I think 543 00:27:43,440 --> 00:27:46,239 Speaker 1: it was recklessness, Harris writes of her decision not to 544 00:27:46,240 --> 00:27:48,560 Speaker 1: convince Biden to drop out of the twenty twenty four 545 00:27:48,720 --> 00:27:51,760 Speaker 1: race earlier. The stakes were simply too high. This wasn't 546 00:27:51,800 --> 00:27:54,560 Speaker 1: a choice that should have been left an individual's ego, 547 00:27:54,760 --> 00:27:56,040 Speaker 1: an individual's ambition. 548 00:27:56,560 --> 00:27:59,199 Speaker 4: It should have been more than a personal decision. End quote. 549 00:28:00,440 --> 00:28:01,680 Speaker 4: Here's the thing. 550 00:28:02,480 --> 00:28:08,600 Speaker 1: The reason that Biden ran was because Kamala Harris was 551 00:28:08,640 --> 00:28:11,280 Speaker 1: going to take his place, and they knew she was 552 00:28:11,320 --> 00:28:16,320 Speaker 1: going to lose. So she hasn't faced that reality yet. 553 00:28:16,760 --> 00:28:20,480 Speaker 4: But that's what happened here. I was willing. 554 00:28:20,160 --> 00:28:22,600 Speaker 1: To bet the house that Biden was going to run, 555 00:28:22,920 --> 00:28:26,280 Speaker 1: and the reason was because all of the other ideas 556 00:28:26,280 --> 00:28:28,080 Speaker 1: of who could replace him, like, oh, they could slip 557 00:28:28,080 --> 00:28:29,600 Speaker 1: and Gavin newsom, oh. 558 00:28:29,480 --> 00:28:31,440 Speaker 4: It'll be Jill Biden or whatever. 559 00:28:32,080 --> 00:28:35,520 Speaker 1: I was always like, no, guys, it can only be Kamala. 560 00:28:35,640 --> 00:28:38,600 Speaker 1: She is the only person that it can be and 561 00:28:38,640 --> 00:28:41,800 Speaker 1: nobody wants that. That's why he's going to run. So 562 00:28:42,040 --> 00:28:45,520 Speaker 1: you know, Buck Sexton one time was like, we weren't wrong. 563 00:28:45,720 --> 00:28:47,480 Speaker 4: He did run, just not the whole way. 564 00:28:47,880 --> 00:28:52,440 Speaker 2: Yeah, yeah, no, I agree that I thought the better 565 00:28:52,520 --> 00:28:54,520 Speaker 2: thing they should have done, probably when they were in 566 00:28:54,560 --> 00:28:57,840 Speaker 2: a pinch, was like immediately handed off to Kamala. However, 567 00:28:58,320 --> 00:29:01,960 Speaker 2: we all knew that deficiencies were a why she was 568 00:29:02,000 --> 00:29:04,080 Speaker 2: picked and b why it was bad for her to 569 00:29:04,120 --> 00:29:06,800 Speaker 2: go forward. Let me also say that she hasn't come 570 00:29:06,840 --> 00:29:09,960 Speaker 2: to grips with reality. Reality not even just the other 571 00:29:10,000 --> 00:29:13,280 Speaker 2: point you made. But in the book, in this excerpt, 572 00:29:13,560 --> 00:29:15,920 Speaker 2: it notes the New York Times notes Miss Harris dismissed 573 00:29:15,920 --> 00:29:18,360 Speaker 2: any notion that mister Biden was not mentally or physically 574 00:29:18,360 --> 00:29:22,000 Speaker 2: fit to serve as president. Okay, so it was reckless 575 00:29:22,040 --> 00:29:23,920 Speaker 2: to have him make the decision to run. 576 00:29:24,360 --> 00:29:27,600 Speaker 3: But why why? But why was it reckless? 577 00:29:28,400 --> 00:29:31,600 Speaker 2: Because if there's not a reason, then that doesn't make 578 00:29:31,600 --> 00:29:32,120 Speaker 2: any sense. 579 00:29:32,160 --> 00:29:32,360 Speaker 3: Now. 580 00:29:32,400 --> 00:29:36,880 Speaker 2: Her answer is at eighty one, Joe got tired. That's 581 00:29:36,920 --> 00:29:39,640 Speaker 2: when his age showed in physical and verbal stumbles. Like 582 00:29:39,680 --> 00:29:43,360 Speaker 2: this is just hair splitting to a ridiculous degree. Just 583 00:29:43,400 --> 00:29:46,320 Speaker 2: to admit it, just to admit actually she should say 584 00:29:46,600 --> 00:29:47,160 Speaker 2: is admit it? 585 00:29:47,360 --> 00:29:49,240 Speaker 3: Say everything juicy she saw? 586 00:29:49,560 --> 00:29:51,600 Speaker 2: Say they kept me out of rooms with him because 587 00:29:51,640 --> 00:29:53,320 Speaker 2: he was so debilitated. 588 00:29:52,760 --> 00:29:55,080 Speaker 3: And I wish I had known more and done more. Yeah, 589 00:29:55,320 --> 00:29:56,760 Speaker 3: she doesn't be a book. I read. 590 00:29:58,040 --> 00:29:58,760 Speaker 4: Right again. 591 00:29:59,440 --> 00:30:02,680 Speaker 1: Honesty, Honesty would go a long way, and it would 592 00:30:02,680 --> 00:30:05,960 Speaker 1: help her. In fact, if she could be a more 593 00:30:06,040 --> 00:30:10,760 Speaker 1: authentic person, she could go places after being vice president. 594 00:30:10,840 --> 00:30:15,080 Speaker 1: It's her inauthenticity that is the problem. In twenty sixteen, 595 00:30:15,160 --> 00:30:18,000 Speaker 1: when she ran for president, I actually wrote a column 596 00:30:18,040 --> 00:30:21,120 Speaker 1: about how Elizabeth Warren was unlikable, and I was like, 597 00:30:21,160 --> 00:30:24,880 Speaker 1: but nobody's saying that about Kamala Harris because she wasn't unlikable. 598 00:30:25,200 --> 00:30:28,160 Speaker 3: No, it was different. Then she was different, right, Yeah, she. 599 00:30:28,160 --> 00:30:31,640 Speaker 1: Only became unlikable when she started kind of lying about 600 00:30:31,640 --> 00:30:34,040 Speaker 1: who she was and what she believed and the kind 601 00:30:34,120 --> 00:30:36,640 Speaker 1: of person that she was. And if she wrote a 602 00:30:36,680 --> 00:30:39,520 Speaker 1: book and told the truth, I don't know, she could 603 00:30:39,520 --> 00:30:40,040 Speaker 1: have a future. 604 00:30:40,040 --> 00:30:40,320 Speaker 4: Maybe. 605 00:30:40,440 --> 00:30:40,480 Speaker 3: No. 606 00:30:40,600 --> 00:30:44,440 Speaker 2: I look back on moments of my commentary during those 607 00:30:44,520 --> 00:30:46,640 Speaker 2: years and think there were moments when I thought she 608 00:30:46,680 --> 00:30:48,960 Speaker 2: was quite good on the stage. I thought she was, 609 00:30:49,000 --> 00:30:52,520 Speaker 2: you know, taking cheap shots sometimes, but she did it effectively, right, 610 00:30:52,840 --> 00:30:55,360 Speaker 2: And then the bottom just dropped. 611 00:30:55,000 --> 00:30:55,400 Speaker 3: Out on that. 612 00:30:55,440 --> 00:30:58,040 Speaker 2: I also want to point out that she really has 613 00:30:58,080 --> 00:31:01,760 Speaker 2: this cell phone where she says it's Joe and Jill's decision. 614 00:31:01,920 --> 00:31:04,200 Speaker 2: We all said that like a mantra, as if we'd 615 00:31:04,240 --> 00:31:08,800 Speaker 2: all been hypnotized. Okay, the last thing I want is 616 00:31:08,880 --> 00:31:10,480 Speaker 2: a president who can be hypnotized. 617 00:31:11,840 --> 00:31:15,440 Speaker 4: It's by Jill Biden not interested in that. 618 00:31:15,560 --> 00:31:16,160 Speaker 3: Like you didn't. 619 00:31:16,360 --> 00:31:18,840 Speaker 2: You didn't have the strength to stand up to your 620 00:31:18,880 --> 00:31:21,720 Speaker 2: peer group and your bosses and say this was bad. 621 00:31:22,160 --> 00:31:24,640 Speaker 4: Right, So yeah, I was going to say that. 622 00:31:24,720 --> 00:31:27,000 Speaker 1: Actually, I think that what happened to her and why 623 00:31:27,080 --> 00:31:31,560 Speaker 1: she fell apart in such a you know, spectacular fashion, 624 00:31:32,240 --> 00:31:34,560 Speaker 1: is of the problem that's going on on the left. 625 00:31:34,640 --> 00:31:37,520 Speaker 4: They don't know who they're supposed to be. 626 00:31:38,160 --> 00:31:41,160 Speaker 1: When they say things that they used to believe, you know, 627 00:31:41,280 --> 00:31:46,080 Speaker 1: seven years ago, their left flank comes for them so hard. 628 00:31:45,840 --> 00:31:47,200 Speaker 4: That they don't know what to say. 629 00:31:48,080 --> 00:31:51,080 Speaker 1: I'm curious to see how any of them run for 630 00:31:51,160 --> 00:31:54,480 Speaker 1: president in the next you know go around. I mean, 631 00:31:54,560 --> 00:31:56,320 Speaker 1: just an example that comes to mind, you know, in 632 00:31:56,360 --> 00:31:59,520 Speaker 1: the beginning, when AOC first hit the scene and she 633 00:31:59,560 --> 00:32:02,640 Speaker 1: does the interview with Margaret Hoover, and she says that 634 00:32:02,720 --> 00:32:05,760 Speaker 1: she's for a two state solution, and that used to 635 00:32:05,840 --> 00:32:08,680 Speaker 1: be something that liberals believed in Israel, right, They believed 636 00:32:08,680 --> 00:32:10,520 Speaker 1: in a two state solution in Israel, one for the 637 00:32:10,640 --> 00:32:14,160 Speaker 1: for the Israelis, one for the Palestinians now and then 638 00:32:14,200 --> 00:32:16,400 Speaker 1: she she had to walk that back because the leftists 639 00:32:16,440 --> 00:32:16,720 Speaker 1: were like. 640 00:32:16,680 --> 00:32:19,120 Speaker 4: We don't believe that anymore. So who knows what they 641 00:32:19,160 --> 00:32:19,600 Speaker 4: stand for. 642 00:32:19,840 --> 00:32:21,600 Speaker 1: If you don't know what you stand for, you can't 643 00:32:21,600 --> 00:32:24,000 Speaker 1: make a strong argument for it. And that is the 644 00:32:24,080 --> 00:32:26,240 Speaker 1: problem that they're all going to run into. So when 645 00:32:26,240 --> 00:32:28,840 Speaker 1: the Gavin Newsom's of the world on the debate stage 646 00:32:28,960 --> 00:32:30,920 Speaker 1: are going to have to talk about, you know, trans 647 00:32:31,040 --> 00:32:31,880 Speaker 1: kids in sports. 648 00:32:32,160 --> 00:32:34,240 Speaker 4: He just told Charlie Kirk that. 649 00:32:34,080 --> 00:32:39,040 Speaker 1: He supports, you know, the trans girls not playing. 650 00:32:38,720 --> 00:32:39,600 Speaker 4: In girls' sports. 651 00:32:40,080 --> 00:32:41,640 Speaker 1: Is he going to be able to say that again 652 00:32:41,680 --> 00:32:47,160 Speaker 1: on a debate stage or that was without saying he 653 00:32:47,200 --> 00:32:49,440 Speaker 1: hasn't do anything about it, But will he even be 654 00:32:49,480 --> 00:32:52,320 Speaker 1: able to repeat that without the left going bananas. 655 00:32:52,400 --> 00:32:55,040 Speaker 2: The other example is, of course Abigail Spamberger, who's running 656 00:32:55,080 --> 00:32:57,200 Speaker 2: in Virginia for governor and may very well win because 657 00:32:57,200 --> 00:32:59,320 Speaker 2: it's a very purplish blue state with a lot of 658 00:32:59,320 --> 00:33:04,000 Speaker 2: federal workers. But she's the great normy savior for them, allegedly, 659 00:33:04,680 --> 00:33:08,120 Speaker 2: and she can't even say the thing about boys and 660 00:33:08,120 --> 00:33:08,880 Speaker 2: girls sports. 661 00:33:08,920 --> 00:33:10,280 Speaker 3: She can't even say the. 662 00:33:10,240 --> 00:33:12,320 Speaker 2: Thing about boys and girls locker rooms, or girls and 663 00:33:12,400 --> 00:33:15,120 Speaker 2: boys locker rooms. In fact, she voted for legislation that 664 00:33:15,560 --> 00:33:18,680 Speaker 2: endorsed all these things. I think sponsored legislation that endorsed 665 00:33:18,720 --> 00:33:21,320 Speaker 2: all these things. And in the meantime, she's like, my 666 00:33:21,400 --> 00:33:22,920 Speaker 2: first act will be to make sure that this is 667 00:33:22,920 --> 00:33:24,000 Speaker 2: a sanctuary state. 668 00:33:24,000 --> 00:33:24,160 Speaker 7: Like. 669 00:33:25,800 --> 00:33:29,320 Speaker 2: These things are not in line with the national public 670 00:33:29,480 --> 00:33:34,040 Speaker 2: for sure, and Democrats like Jon Favreau are going to 671 00:33:34,080 --> 00:33:37,920 Speaker 2: blame voters for noticing that they believed and kept believing 672 00:33:38,000 --> 00:33:38,600 Speaker 2: these things. 673 00:33:39,240 --> 00:33:40,760 Speaker 3: He's gonna be like, she hasn't said that in the 674 00:33:40,800 --> 00:33:42,600 Speaker 3: last three weeks. Well, that doesn't count. 675 00:33:42,520 --> 00:33:45,320 Speaker 1: In the last three weeks exactly right, Well, what does 676 00:33:45,360 --> 00:33:47,040 Speaker 1: she believe today, Mary Catherine. 677 00:33:47,080 --> 00:33:50,560 Speaker 3: Yeah, that's the important thing. It's a pickle. They're in 678 00:33:50,640 --> 00:33:51,160 Speaker 3: a pickle. 679 00:33:51,360 --> 00:33:52,120 Speaker 4: It is it is. 680 00:33:52,320 --> 00:33:54,040 Speaker 1: I can't wait to see how this turns out. I'm 681 00:33:54,080 --> 00:33:55,960 Speaker 1: not saying they can't win. I'm not saying they're not 682 00:33:56,000 --> 00:33:58,440 Speaker 1: going to win races. And Republicans are going to run 683 00:33:58,480 --> 00:34:01,120 Speaker 1: some bad candidates in some place and I mean not 684 00:34:01,200 --> 00:34:03,880 Speaker 1: in Virginia but in other places, and they're going to 685 00:34:03,920 --> 00:34:07,520 Speaker 1: win races and it'll happen. But they don't know who 686 00:34:07,520 --> 00:34:10,680 Speaker 1: they are, and they can't say. If they do know, 687 00:34:10,719 --> 00:34:11,799 Speaker 1: they still can't say it. 688 00:34:12,000 --> 00:34:13,400 Speaker 3: So we'll see. 689 00:34:13,760 --> 00:34:17,160 Speaker 1: Thanks for joining us on Normally Normally airs Tuesdays and Thursdays, 690 00:34:17,200 --> 00:34:20,200 Speaker 1: and you can subscribe anywhere you get your podcasts. Get 691 00:34:20,200 --> 00:34:23,239 Speaker 1: in touch with us at Normallythepod at gmail dot com. 692 00:34:23,280 --> 00:34:26,080 Speaker 1: Thanks for listening, and when things get weird, act normally