1 00:00:01,880 --> 00:00:06,120 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,240 --> 00:00:11,080 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty arm Strong. 3 00:00:10,800 --> 00:00:26,120 Speaker 2: And Gatty and He Armstrong and Yetty Fonsie. Thanks. An 4 00:00:26,200 --> 00:00:28,280 Speaker 2: arsonist is causing all these fires. 5 00:00:29,480 --> 00:00:33,520 Speaker 3: Among other celebrities, the police and fire department are trying 6 00:00:33,520 --> 00:00:38,440 Speaker 3: to combat to their rumors or accusations. Henry Winkler, an 7 00:00:38,479 --> 00:00:41,199 Speaker 3: actor better known for more recent shows than what he 8 00:00:41,280 --> 00:00:44,800 Speaker 3: started in the seventies. I guess yes on Netflix and whatnot, 9 00:00:44,840 --> 00:00:48,839 Speaker 3: but Henry Winkler. The Fawns tweeted out yesterday there's an 10 00:00:48,920 --> 00:00:50,159 Speaker 3: arsenist here in La. 11 00:00:50,360 --> 00:00:56,200 Speaker 1: May you be beaten? Unrecognizable? Wow, he fawns, We're with you. 12 00:00:56,520 --> 00:01:00,520 Speaker 3: Yeah, cool thumbs up. Singer Chris Brown, who olive has 13 00:01:00,600 --> 00:01:02,840 Speaker 3: beaten people. I don't know if I'm recognizable or not. 14 00:01:02,920 --> 00:01:03,600 Speaker 3: Girlfriends or whatever? 15 00:01:03,720 --> 00:01:05,959 Speaker 4: Letting girlfriend yeah. 16 00:01:05,640 --> 00:01:08,479 Speaker 3: Took to his Instagram stories on Thursday. Or someone starting 17 00:01:08,520 --> 00:01:12,039 Speaker 3: these fires? S don't add up. Some Dancing with the 18 00:01:12,080 --> 00:01:15,000 Speaker 3: Stars celebrity I've never heard of said there are five 19 00:01:15,040 --> 00:01:17,520 Speaker 3: men going around ski masks starting the fires. Keep an 20 00:01:17,560 --> 00:01:21,760 Speaker 3: eye out in all caps anyway, other than a homeless 21 00:01:21,760 --> 00:01:25,280 Speaker 3: guy that was arrested with a lighter for the Hollywood 22 00:01:25,319 --> 00:01:29,720 Speaker 3: area fire, which they got under control. I believe there 23 00:01:29,800 --> 00:01:32,640 Speaker 3: haven't been arsonists nailed down for the two biggest fires. 24 00:01:34,560 --> 00:01:39,560 Speaker 3: I have always wondered why Al Kaita or Isis, whoever 25 00:01:39,600 --> 00:01:46,880 Speaker 3: didn't take this tact with a terrorist activity over the years. 26 00:01:48,360 --> 00:01:52,120 Speaker 4: Interesting question. I don't know. They haven't as far as 27 00:01:52,160 --> 00:01:52,640 Speaker 4: I can tell. 28 00:01:52,840 --> 00:01:55,520 Speaker 3: Yeah, And I'm not in the business of giving ideas. 29 00:01:55,520 --> 00:01:58,000 Speaker 3: I just assume that there there's a reason why they haven't. 30 00:01:58,000 --> 00:01:59,720 Speaker 3: That they're smart enough. They put a lot of thought 31 00:01:59,720 --> 00:02:01,480 Speaker 3: on this, but kind it seems like if you had 32 00:02:01,920 --> 00:02:04,000 Speaker 3: a dozen guys in the country and you picked a 33 00:02:04,040 --> 00:02:09,400 Speaker 3: particular day and did a little research California, Arizona, where 34 00:02:09,440 --> 00:02:11,680 Speaker 3: you know wherever fires you can get completely out of control, 35 00:02:11,720 --> 00:02:13,080 Speaker 3: you can do a hell of a lot of damage. 36 00:02:14,200 --> 00:02:18,800 Speaker 1: Sure, yeah, yeah, chilling stuff, so ah, A little closer 37 00:02:18,800 --> 00:02:22,040 Speaker 1: to home and manageable, I think is the question of 38 00:02:22,080 --> 00:02:26,280 Speaker 1: who is in what to office And absolutely thought provoking 39 00:02:26,320 --> 00:02:31,000 Speaker 1: think piece on why virtually every blue city in America 40 00:02:31,040 --> 00:02:35,480 Speaker 1: has gone completely sideways. And it's it's more than just 41 00:02:35,639 --> 00:02:38,400 Speaker 1: kind of the obvious ABC one two three stuff. It's 42 00:02:38,480 --> 00:02:41,760 Speaker 1: kind of a philosophical view of their jobs that I 43 00:02:41,800 --> 00:02:44,120 Speaker 1: think you'll enjoy. Got a lot of stuff to squeeze 44 00:02:44,120 --> 00:02:46,120 Speaker 1: in final hour of the week, But first, let's take 45 00:02:46,120 --> 00:02:47,520 Speaker 1: a fun look back at the week that was. 46 00:02:47,600 --> 00:02:49,200 Speaker 4: It's cow clips of the week, and. 47 00:02:49,280 --> 00:02:50,680 Speaker 5: I know a lot of there's a lot of freak 48 00:02:50,720 --> 00:02:56,240 Speaker 5: out the. 49 00:02:56,360 --> 00:03:01,720 Speaker 3: Whips the week. The country is on a inside. They 50 00:03:01,760 --> 00:03:05,640 Speaker 3: discovered a steel galvanized pipe with two end caps surrounded 51 00:03:05,639 --> 00:03:07,399 Speaker 3: by two dozen rolls of nails. 52 00:03:08,240 --> 00:03:09,959 Speaker 4: This is not a terrorist event. 53 00:03:10,960 --> 00:03:14,040 Speaker 1: We also need to be stronger together by overcoming an 54 00:03:14,080 --> 00:03:16,320 Speaker 1: addiction to divisiveness and negativity. 55 00:03:17,120 --> 00:03:21,000 Speaker 3: The palicates fire, burning homes and forcing thousands to run 56 00:03:21,000 --> 00:03:24,560 Speaker 3: for their lives. The were to describe what we're seeing 57 00:03:24,840 --> 00:03:28,680 Speaker 3: is just apocalyptic. An emergency personnel had to take a 58 00:03:28,720 --> 00:03:32,280 Speaker 3: bulldozer to just bulldoze them out of the way. They've 59 00:03:32,600 --> 00:03:36,800 Speaker 3: put up the hoses. The water ran dry. 60 00:03:36,360 --> 00:03:39,160 Speaker 4: The local folks are trying to figure that out. 61 00:03:40,120 --> 00:03:43,040 Speaker 2: There were no reductions that were made that would have 62 00:03:43,280 --> 00:03:45,400 Speaker 2: impacted the situation. 63 00:03:45,240 --> 00:03:52,400 Speaker 3: That we were dealing with people, And one. 64 00:03:52,320 --> 00:03:54,760 Speaker 6: Of the best ways to demonstrate that there are regular 65 00:03:54,800 --> 00:03:56,320 Speaker 6: folks is to take them by that home. 66 00:03:56,520 --> 00:03:58,000 Speaker 3: First of all, it looks like they might have built 67 00:03:58,000 --> 00:03:58,600 Speaker 3: it themselves. 68 00:04:00,160 --> 00:04:02,640 Speaker 7: Second of all, my grandfather was likely to show up 69 00:04:02,680 --> 00:04:05,560 Speaker 7: at the door in some seventies, short shorts and crops. 70 00:04:06,800 --> 00:04:10,840 Speaker 3: Character. Character, character. 71 00:04:11,880 --> 00:04:14,920 Speaker 2: What were you talking to Barack Obama about him? It 72 00:04:14,960 --> 00:04:16,000 Speaker 2: did look very friendly. 73 00:04:16,080 --> 00:04:20,000 Speaker 3: I must say it's one of the most awkward moments 74 00:04:20,040 --> 00:04:22,680 Speaker 3: in American politics. Donald J. 75 00:04:22,839 --> 00:04:26,120 Speaker 4: Trump of the state of Florida has received three hundred 76 00:04:26,160 --> 00:04:28,280 Speaker 4: and twelve votes. Kamala D. 77 00:04:28,480 --> 00:04:32,279 Speaker 2: Harris, We're going to get back. 78 00:04:32,120 --> 00:04:32,839 Speaker 4: To our roots. 79 00:04:33,720 --> 00:04:37,159 Speaker 1: We're eliminating the third party fact checking system. 80 00:04:37,279 --> 00:04:38,240 Speaker 4: I'm a little concerned. 81 00:04:38,279 --> 00:04:40,480 Speaker 8: I mean, this is like Chipotle announcing that it's ending 82 00:04:40,520 --> 00:04:41,360 Speaker 8: health inspections. 83 00:04:41,360 --> 00:04:42,080 Speaker 2: You know what I'm saying. 84 00:04:43,400 --> 00:04:46,520 Speaker 4: We need Greenland for national security purposes. 85 00:04:47,440 --> 00:04:47,920 Speaker 2: How we were. 86 00:04:47,920 --> 00:04:50,720 Speaker 6: Talking to him yesterday, so he says, hello to everyone 87 00:04:50,760 --> 00:04:51,279 Speaker 6: in Greenland. 88 00:04:52,279 --> 00:04:55,520 Speaker 3: We're going to be changing the name of the Gulf 89 00:04:55,640 --> 00:04:59,160 Speaker 3: of Mexico to the Gulf of America. 90 00:05:00,240 --> 00:05:03,200 Speaker 1: Biden meanwhile says he thinks he could have beaten Donald Trump. 91 00:05:04,279 --> 00:05:05,880 Speaker 3: I think it's nuts to think that he would have 92 00:05:05,960 --> 00:05:09,200 Speaker 3: won that election. I don't wore world leaders than any 93 00:05:09,240 --> 00:05:11,599 Speaker 3: one of you ever met. In your home, goddamn wife, 94 00:05:12,800 --> 00:05:16,880 Speaker 3: I intend to resign as party leader, as Prime minister, 95 00:05:18,320 --> 00:05:20,839 Speaker 3: and you know, we really need to pace ourselves. 96 00:05:20,880 --> 00:05:24,839 Speaker 4: If we're going to freak out over every last tweet, we. 97 00:05:24,839 --> 00:05:27,880 Speaker 2: Will fight hard, fight hard for the freedom to vote. 98 00:05:28,480 --> 00:05:33,560 Speaker 4: Why he does a nerve bro? Who shot who? 99 00:05:34,520 --> 00:05:40,440 Speaker 2: Doesn't shut me? Everybody? Everybody got. 100 00:05:43,960 --> 00:05:46,440 Speaker 4: That it won't be the clip of the year. But 101 00:05:46,960 --> 00:05:47,760 Speaker 4: who shot who? 102 00:05:48,680 --> 00:05:52,760 Speaker 3: That whole exchange, somebody got shot, very very nonplussed about 103 00:05:52,760 --> 00:05:58,600 Speaker 3: the whole situation. Yeah, for some reason this popped into 104 00:05:58,600 --> 00:06:00,320 Speaker 3: my head during clips week. There's a bunch of stuff 105 00:06:00,320 --> 00:06:02,320 Speaker 3: there earlier in the week, like that was this week, 106 00:06:02,400 --> 00:06:05,400 Speaker 3: that wasn't six months ago, the terrorist attack and all 107 00:06:05,400 --> 00:06:08,120 Speaker 3: that sort of stuff. Jeez, the way we turn the 108 00:06:08,160 --> 00:06:10,039 Speaker 3: page on stories. You know, the fire is such a 109 00:06:10,040 --> 00:06:13,160 Speaker 3: big story and wiped out everything else. And I want 110 00:06:13,200 --> 00:06:16,119 Speaker 3: to talk about climate change in a second, but first 111 00:06:16,120 --> 00:06:22,680 Speaker 3: on this. We were watching and laughing at an ai 112 00:06:22,880 --> 00:06:26,800 Speaker 3: fake video of Kamala and Jill fighting each other in 113 00:06:26,880 --> 00:06:28,680 Speaker 3: the pew at the Carter funeral. 114 00:06:28,920 --> 00:06:29,640 Speaker 4: It's not real. 115 00:06:30,040 --> 00:06:33,160 Speaker 3: But the real part where Joe and doctor Jill come 116 00:06:33,160 --> 00:06:36,000 Speaker 3: in and sit down next to Kamala. Man that is chilly. 117 00:06:36,320 --> 00:06:39,360 Speaker 3: Kamala doesn't even look at her. She doesn't look at them. 118 00:06:39,440 --> 00:06:42,000 Speaker 3: I mean, you're sitting right next to people that are 119 00:06:42,000 --> 00:06:45,520 Speaker 3: supposed to be your close co workers and you don't 120 00:06:45,520 --> 00:06:51,000 Speaker 3: even look at them. Kamala handled handing the presidency over 121 00:06:51,120 --> 00:06:53,520 Speaker 3: to Donald Trump and announcing the votes and everything like 122 00:06:53,600 --> 00:06:58,080 Speaker 3: that better than she handled easier than she handled having 123 00:06:58,080 --> 00:06:59,839 Speaker 3: to sit next to Joe Biden and his wife. 124 00:07:00,560 --> 00:07:02,719 Speaker 1: Yeah. I think just like Biden as a deep and 125 00:07:02,720 --> 00:07:08,360 Speaker 1: abiding hatred for Obama. Kamala can't stand old man Biden. 126 00:07:08,400 --> 00:07:09,160 Speaker 4: It's it's interesting. 127 00:07:09,480 --> 00:07:14,000 Speaker 3: She was able to stuff down her disappointment, resentment, everything 128 00:07:14,120 --> 00:07:17,400 Speaker 3: about losing to Donald Trump the election much easier than 129 00:07:17,400 --> 00:07:19,840 Speaker 3: she was able to stuff it down sitting next to 130 00:07:19,920 --> 00:07:22,160 Speaker 3: Joe and his wife. And he's got to be his 131 00:07:22,240 --> 00:07:24,480 Speaker 3: wife because she probably thinks the same thing. I think 132 00:07:24,680 --> 00:07:28,160 Speaker 3: his brain don't work. You're the evil bee that kept 133 00:07:28,240 --> 00:07:30,960 Speaker 3: him running. You're the one that caused all this. I 134 00:07:31,000 --> 00:07:33,040 Speaker 3: hate you, I hate you, I hate you. That's what 135 00:07:33,080 --> 00:07:33,760 Speaker 3: she was thinking. 136 00:07:34,440 --> 00:07:37,080 Speaker 1: Well, and to recap a couple of discussions we've had 137 00:07:37,120 --> 00:07:41,080 Speaker 1: in recent days, her ego is kept intact in spite 138 00:07:41,120 --> 00:07:43,400 Speaker 1: of the fact that she got absolutely waxed by Donald 139 00:07:43,440 --> 00:07:46,480 Speaker 1: Trump by the fact that well Biden got out too 140 00:07:46,560 --> 00:07:48,720 Speaker 1: late and he screwed her and the campaign was short. 141 00:07:48,760 --> 00:07:52,040 Speaker 1: So that's her excuse for herself, but her excuse was 142 00:07:52,040 --> 00:07:54,520 Speaker 1: sitting next to her Biden and his. 143 00:07:54,560 --> 00:07:58,600 Speaker 4: Evil, evil wife, So yeah, she can't. She despises them. 144 00:08:00,200 --> 00:08:03,080 Speaker 3: Can't get away from the climate change discussion on any 145 00:08:03,080 --> 00:08:05,480 Speaker 3: of the mainstream news around the fire or any other 146 00:08:05,680 --> 00:08:08,160 Speaker 3: any other anything that happens, really pretty much, anything that 147 00:08:08,200 --> 00:08:11,280 Speaker 3: happens somehow, climate change plays a role. Two things on 148 00:08:11,320 --> 00:08:13,680 Speaker 3: that one. And I'm not a climate denier or proponent, 149 00:08:13,760 --> 00:08:16,239 Speaker 3: as I've said many times on this show. For whatever reason, 150 00:08:16,280 --> 00:08:18,160 Speaker 3: it's a topic I've decided not to look into. 151 00:08:18,560 --> 00:08:19,400 Speaker 4: I just don't. 152 00:08:20,440 --> 00:08:22,840 Speaker 3: There are topics I look into to great depth, not 153 00:08:23,000 --> 00:08:25,440 Speaker 3: this one. But it did come across this and this 154 00:08:25,640 --> 00:08:30,640 Speaker 3: is accurate reporting. It's from Los Angeles Airport's own data. 155 00:08:30,720 --> 00:08:33,160 Speaker 3: It's not unusual for Los Angeles to be bone dry 156 00:08:33,200 --> 00:08:36,319 Speaker 3: in December into January. Since nineteen forty four, since I've 157 00:08:36,320 --> 00:08:39,679 Speaker 3: been keeping records in the thirty days prior to January ninth, 158 00:08:39,800 --> 00:08:43,319 Speaker 3: thirteen years have received between none and a tenth of 159 00:08:43,360 --> 00:08:44,920 Speaker 3: an inch of rain, including this year. 160 00:08:45,200 --> 00:08:46,040 Speaker 4: But it happened in. 161 00:08:45,960 --> 00:08:48,440 Speaker 3: Fifty four, sixty one, sixty four, sixty seven. Well, I 162 00:08:48,440 --> 00:08:50,960 Speaker 3: had quite a run there in the mid sixties where 163 00:08:50,960 --> 00:08:52,480 Speaker 3: you would have been able to make some sort of 164 00:08:52,559 --> 00:08:55,960 Speaker 3: argument about climate change or something lots of years. So 165 00:08:56,200 --> 00:09:00,000 Speaker 3: there's always the data that gets very confusing on the 166 00:09:00,160 --> 00:09:02,320 Speaker 3: are we having more hurricanes or not? Or is it 167 00:09:02,400 --> 00:09:06,120 Speaker 3: dryer or not or whatever. But even without that, even 168 00:09:06,200 --> 00:09:08,800 Speaker 3: if you buy into the whole climate man made change 169 00:09:08,840 --> 00:09:12,960 Speaker 3: everything like that, there's no turning it around quickly, not 170 00:09:13,080 --> 00:09:16,400 Speaker 3: a chance. So why waste any time in the midst 171 00:09:16,400 --> 00:09:19,920 Speaker 3: of a crisis discussing that. It seems like such an 172 00:09:19,920 --> 00:09:21,360 Speaker 3: easy out for the conversation. 173 00:09:22,120 --> 00:09:23,640 Speaker 4: Well, right, that's exactly what it is. 174 00:09:23,679 --> 00:09:27,800 Speaker 3: That's the answer of why on purpose excuse on MSNBC 175 00:09:27,960 --> 00:09:30,120 Speaker 3: or CNN or wherever to once they get to the 176 00:09:30,120 --> 00:09:32,760 Speaker 3: climate change thing, then it's the evil Republicans or Trump 177 00:09:32,840 --> 00:09:35,960 Speaker 3: or whoever who's stopping things. There is nothing. If Donald 178 00:09:35,960 --> 00:09:40,839 Speaker 3: Trump went full al Gore today, you couldn't affect I'm 179 00:09:40,880 --> 00:09:44,640 Speaker 3: assuming the worldwide temperature by a tenth of a degree 180 00:09:44,720 --> 00:09:49,520 Speaker 3: over the next decade. Let alone fix what's gonna happen 181 00:09:49,640 --> 00:09:52,199 Speaker 3: this summer fire wise, So why. 182 00:09:52,160 --> 00:09:53,400 Speaker 4: Even talk about it? 183 00:09:54,000 --> 00:09:58,560 Speaker 1: You know, it's the Simpsons were not now a show 184 00:09:58,600 --> 00:10:00,280 Speaker 1: of the left. Ought to have a scene where, you know, 185 00:10:00,360 --> 00:10:03,560 Speaker 1: Marge comes home and Homer's left the bathtub running, and 186 00:10:03,600 --> 00:10:05,600 Speaker 1: the house is flooded and ruined, and the dog hasn't 187 00:10:05,640 --> 00:10:07,959 Speaker 1: been fed for a week, and Bart hasn't gone to 188 00:10:07,960 --> 00:10:10,200 Speaker 1: school or whatever. When she asks him why, he says, 189 00:10:10,280 --> 00:10:14,720 Speaker 1: I don't know climate change because that is the all purpose, 190 00:10:14,840 --> 00:10:18,160 Speaker 1: all encompanying excuse for bad policy. 191 00:10:18,679 --> 00:10:20,760 Speaker 4: Has that happened because of climate change? 192 00:10:21,559 --> 00:10:25,760 Speaker 1: And so the soft headed voters are distracted from mismanagement 193 00:10:25,800 --> 00:10:28,640 Speaker 1: and bad government. And oh, right, climate change, I've heard 194 00:10:28,640 --> 00:10:29,120 Speaker 1: about that. 195 00:10:30,080 --> 00:10:32,240 Speaker 3: Yeah, I don't know. It's not like a lot of 196 00:10:32,280 --> 00:10:35,559 Speaker 3: policy decisions where you decide you're against the war, we 197 00:10:35,559 --> 00:10:38,200 Speaker 3: could pull the troops out tomorrow or something, you could 198 00:10:38,200 --> 00:10:40,640 Speaker 3: really make a radical change. There's no radical changes to 199 00:10:40,640 --> 00:10:42,400 Speaker 3: be made on the whole climate thing, even if you 200 00:10:42,480 --> 00:10:43,959 Speaker 3: believe them right. 201 00:10:44,000 --> 00:10:46,240 Speaker 1: Even if you had superpowers, it would take ages to 202 00:10:46,520 --> 00:10:49,280 Speaker 1: make a real difference, and we don't have superpowers in 203 00:10:49,280 --> 00:10:50,160 Speaker 1: India and China. 204 00:10:50,280 --> 00:10:52,920 Speaker 4: End of discussion. Yeah, it's so weak. 205 00:10:53,880 --> 00:10:57,880 Speaker 1: Anytime a politician cites climate change because of a crisis, 206 00:10:58,520 --> 00:11:02,439 Speaker 1: you can't look at that new. You know, some people 207 00:11:02,480 --> 00:11:04,680 Speaker 1: look at it positively. Oh, I'm glad he's standing up 208 00:11:04,720 --> 00:11:06,960 Speaker 1: for climate change. Well, you're an idiot and shouldn't vote, 209 00:11:07,440 --> 00:11:09,240 Speaker 1: but don't even look at it neutrally. 210 00:11:09,000 --> 00:11:10,440 Speaker 4: Say oh, I know this one. 211 00:11:10,800 --> 00:11:14,199 Speaker 1: This is their dodge, and then think about the things 212 00:11:14,240 --> 00:11:19,520 Speaker 1: that they're dodging, because that's almost always the way it's used. Yeah, 213 00:11:19,679 --> 00:11:22,200 Speaker 1: you've been talking about climate change for like fifteen years now, 214 00:11:22,480 --> 00:11:25,880 Speaker 1: so why didn't you do something about the xyz we're 215 00:11:25,920 --> 00:11:26,360 Speaker 1: talking about? 216 00:11:26,440 --> 00:11:27,680 Speaker 4: Well, climate change. 217 00:11:28,080 --> 00:11:30,680 Speaker 3: It's easy to be susceptible to these arguments because I 218 00:11:30,920 --> 00:11:35,280 Speaker 3: even have fallen for the Yeah, it does seem colder, wetter, dryer, windier, 219 00:11:35,360 --> 00:11:38,600 Speaker 3: whatever than it used to. But then I'll see some 220 00:11:38,640 --> 00:11:41,120 Speaker 3: stats laid out like the ones we just talked about 221 00:11:41,160 --> 00:11:44,120 Speaker 3: and thought, okay, you have ears where this is worse. 222 00:11:44,200 --> 00:11:44,680 Speaker 4: That's better. 223 00:11:45,559 --> 00:11:47,280 Speaker 3: Sometimes it's a couple of years row then it goes 224 00:11:47,280 --> 00:11:47,920 Speaker 3: back to normal. 225 00:11:48,800 --> 00:11:49,360 Speaker 4: This way it is. 226 00:11:50,200 --> 00:11:57,880 Speaker 1: Yeah, yeah, indeed, Eh, it's frustrating, is it? 227 00:11:59,360 --> 00:11:59,560 Speaker 4: Well? 228 00:11:59,640 --> 00:12:03,640 Speaker 1: Yeah, just thinking about the electorate and our leaders and 229 00:12:03,679 --> 00:12:05,960 Speaker 1: the way it's supposed to work and how it doesn't 230 00:12:06,280 --> 00:12:06,840 Speaker 1: if you're. 231 00:12:07,360 --> 00:12:10,000 Speaker 3: I just saw the least sympathetic couple from the fire 232 00:12:10,040 --> 00:12:13,040 Speaker 3: thing that I've seen yet. I thought, CNN, you're not 233 00:12:13,080 --> 00:12:16,839 Speaker 3: doing a good job here, because just because you're rich, 234 00:12:16,880 --> 00:12:18,679 Speaker 3: you don't deserve to have your home burnt down, or 235 00:12:18,720 --> 00:12:21,360 Speaker 3: doesn't mean it's not awful. It's a lot less awful 236 00:12:21,360 --> 00:12:23,840 Speaker 3: for you than the paycheck to paycheck people. 237 00:12:23,920 --> 00:12:24,480 Speaker 4: No doubt. 238 00:12:25,280 --> 00:12:27,720 Speaker 3: You can go to a hotel and it's a headache 239 00:12:27,720 --> 00:12:30,160 Speaker 3: as opposed to a disaster. I mean, there's just no 240 00:12:30,200 --> 00:12:32,400 Speaker 3: doubt the more money have it. But anyway, they're interviewing 241 00:12:32,440 --> 00:12:36,520 Speaker 3: this couple in there. One of those Mercedes SUVs that 242 00:12:36,559 --> 00:12:39,000 Speaker 3: are designed to climb mountains, but people only drive them 243 00:12:39,000 --> 00:12:39,800 Speaker 3: to yoga. 244 00:12:40,080 --> 00:12:41,200 Speaker 4: U oh, one of those that. 245 00:12:41,080 --> 00:12:43,840 Speaker 3: Are crazy, like a quarter of a million dollar car. 246 00:12:44,000 --> 00:12:47,200 Speaker 3: She got a couple sitting in there. They're both like sixty. 247 00:12:47,400 --> 00:12:50,040 Speaker 3: He's got ridiculously long blonde hair for a sixty year 248 00:12:50,080 --> 00:12:52,720 Speaker 3: old rich guy wearing a puffy vest in his Mercedes. 249 00:12:52,920 --> 00:12:55,240 Speaker 3: And she's got the big giant lips and her skin's 250 00:12:55,280 --> 00:12:57,760 Speaker 3: way too tight. And I thought, this is not the 251 00:12:57,920 --> 00:13:02,760 Speaker 3: right couple to have on CNN to get your crowd 252 00:13:02,800 --> 00:13:04,960 Speaker 3: to feel all sympathetic and warm and fuzzy about it. 253 00:13:05,080 --> 00:13:06,840 Speaker 3: Just it ain't. It ain't even working for me. 254 00:13:07,600 --> 00:13:07,839 Speaker 4: I don't. 255 00:13:07,880 --> 00:13:09,920 Speaker 1: I don't know that that's what CNN ought to be 256 00:13:09,960 --> 00:13:13,160 Speaker 1: doing anyway, But no, I see your point. 257 00:13:13,520 --> 00:13:15,720 Speaker 3: Man, we got a lot more on the way. Our 258 00:13:15,720 --> 00:13:19,040 Speaker 3: text line is four one five two nine five KFTC. 259 00:13:20,640 --> 00:13:26,120 Speaker 6: According to the odds makers, closest game of the NFL 260 00:13:26,120 --> 00:13:30,400 Speaker 6: playoffs this weekend the Monday night game Vikings Rams in 261 00:13:30,520 --> 00:13:33,880 Speaker 6: Arizona because they can't play a game in Los Angeles. 262 00:13:34,800 --> 00:13:36,880 Speaker 3: The Vikings are just two and a half point favorites. 263 00:13:37,080 --> 00:13:38,680 Speaker 3: All the other ones are a little whiter than that. 264 00:13:39,720 --> 00:13:43,080 Speaker 1: Uh yeah, yeah, there's some great games too. I'm a 265 00:13:43,160 --> 00:13:48,400 Speaker 1: newly minted Detroit Lions fan teams. Yeah, I got a 266 00:13:48,400 --> 00:13:50,880 Speaker 1: couple of friends who are native Detroiters who are just 267 00:13:51,000 --> 00:13:53,760 Speaker 1: died in the wool, I mean, have suffered for years. 268 00:13:54,760 --> 00:13:58,200 Speaker 1: So anyway, enjoy the feats ball over the weekend. Folks, 269 00:13:58,720 --> 00:14:03,760 Speaker 1: thought we'd lend a hand here to a kindred spirit trying. 270 00:14:03,480 --> 00:14:04,760 Speaker 4: To do a good thing. 271 00:14:05,520 --> 00:14:09,680 Speaker 1: This is cal Unicornia assembly Woman Kate Sanchez. 272 00:14:09,800 --> 00:14:10,880 Speaker 4: Kate take it away. 273 00:14:11,080 --> 00:14:14,920 Speaker 7: Hello, I'm assembly Woman Kate Sanchez. Women's sports have long 274 00:14:14,960 --> 00:14:19,400 Speaker 7: been a symbol of dedication, perseverance, and opportunity. As a 275 00:14:19,440 --> 00:14:22,040 Speaker 7: former high school athlete, I know this is a space 276 00:14:22,120 --> 00:14:26,080 Speaker 7: for young women can compete fairly, achieve their dreams, and 277 00:14:26,160 --> 00:14:30,320 Speaker 7: showcase their talents. But today that fairness is being stripped 278 00:14:30,360 --> 00:14:35,119 Speaker 7: away when biological men are allowed to compete in women's sports, 279 00:14:35,200 --> 00:14:38,520 Speaker 7: it creates an unfair playing field. Young women who have 280 00:14:38,600 --> 00:14:43,400 Speaker 7: spent years training, sacrificing, and earning their place to compete 281 00:14:43,440 --> 00:14:46,200 Speaker 7: at the highest level are now being forced to compete 282 00:14:46,240 --> 00:14:52,000 Speaker 7: against individuals with undeniable biological advantages. It's not just unfair, 283 00:14:52,240 --> 00:14:56,840 Speaker 7: it's disheartening and dangerous for girls. This is about more 284 00:14:56,880 --> 00:14:57,560 Speaker 7: than competition. 285 00:14:57,960 --> 00:14:59,360 Speaker 4: It's about safety. 286 00:15:00,080 --> 00:15:03,840 Speaker 7: Whether in contact sports, locker rooms, or shared spaces, these 287 00:15:03,880 --> 00:15:04,920 Speaker 7: policies place. 288 00:15:04,840 --> 00:15:06,160 Speaker 4: Our daughters at risk. 289 00:15:06,720 --> 00:15:09,480 Speaker 7: We cannot ignore the physical and emotional toll this takes. 290 00:15:10,120 --> 00:15:14,040 Speaker 7: I will always advocate for fairness, opportunity, and protection of 291 00:15:14,080 --> 00:15:17,640 Speaker 7: women and girls in sports. It's time to restore integrity 292 00:15:17,640 --> 00:15:20,600 Speaker 7: to women's athletics and ensure that every young woman has 293 00:15:20,640 --> 00:15:23,360 Speaker 7: a fair and safe chance to compete. 294 00:15:25,480 --> 00:15:27,840 Speaker 1: I'm not sure why everything has to have a musical 295 00:15:27,880 --> 00:15:31,800 Speaker 1: background these days, but thank you AB twelve. I'm sorry 296 00:15:31,800 --> 00:15:34,160 Speaker 1: that was the old law that let boys play against 297 00:15:34,240 --> 00:15:36,640 Speaker 1: girls in sports, but she's trying to pass a law 298 00:15:36,680 --> 00:15:37,960 Speaker 1: that changes that, so. 299 00:15:38,080 --> 00:15:45,040 Speaker 3: I would think there's overwhelming support for that, even in Cally, Unicornia. Yeah, 300 00:15:45,160 --> 00:15:47,600 Speaker 3: I think believe it's easily a majority position. 301 00:15:49,560 --> 00:15:50,600 Speaker 4: Yeah. Yeah. 302 00:15:51,080 --> 00:15:54,960 Speaker 1: The law has existed in California since twenty thirteen, signed 303 00:15:55,360 --> 00:15:59,800 Speaker 1: into law by Governor Jerry Brown. Letting people be permitted 304 00:15:59,840 --> 00:16:03,520 Speaker 1: to participated and participate in sex segregated school programs and 305 00:16:03,600 --> 00:16:08,920 Speaker 1: activities consistent with their gender identity. Letting boys play against 306 00:16:08,960 --> 00:16:12,200 Speaker 1: girls and beat the hell out of them. It's just unbelievable, 307 00:16:12,560 --> 00:16:14,760 Speaker 1: And they quote a couple of high school coaches. California 308 00:16:14,760 --> 00:16:17,480 Speaker 1: Globe has some great coverage of the story talking about 309 00:16:18,320 --> 00:16:21,080 Speaker 1: this law. Did was suddenly have men saying they're transgender 310 00:16:21,120 --> 00:16:23,360 Speaker 1: identifying as women to compete on their teams. We've had 311 00:16:23,360 --> 00:16:26,360 Speaker 1: a lot of wrestling teams suddenly have huge wrestlers who 312 00:16:26,400 --> 00:16:29,240 Speaker 1: now identify as women dominating women's wrestling. Wow. 313 00:16:29,360 --> 00:16:31,800 Speaker 4: And swimming and other physical sports. 314 00:16:32,000 --> 00:16:32,440 Speaker 3: Wow. 315 00:16:33,320 --> 00:16:33,720 Speaker 4: Yeah. 316 00:16:33,920 --> 00:16:38,040 Speaker 3: My favorite one to hate was that like forty year 317 00:16:38,040 --> 00:16:42,600 Speaker 3: old giant dude who played junior college basketball in the 318 00:16:42,640 --> 00:16:47,600 Speaker 3: Bay Area for a community college team, just backing over 319 00:16:47,760 --> 00:16:50,720 Speaker 3: poor little girls who are trying to play college basketball. 320 00:16:50,920 --> 00:16:53,320 Speaker 3: He still had eligibility because he can go to college, 321 00:16:53,360 --> 00:16:56,000 Speaker 3: so he did. Juco is a forty year old dude 322 00:16:56,000 --> 00:16:57,960 Speaker 3: and plays women's juco basketball. 323 00:16:58,400 --> 00:17:01,320 Speaker 1: If you're in favor of that a mental illness and 324 00:17:01,320 --> 00:17:03,480 Speaker 1: should get it treated. And I say that with compassion 325 00:17:03,520 --> 00:17:06,679 Speaker 1: and love, but get it treated. Why do all the 326 00:17:06,720 --> 00:17:09,320 Speaker 1: lefty cities go sideways? Great explanation coming up. 327 00:17:12,800 --> 00:17:14,000 Speaker 4: Armstrong and Getty. 328 00:17:15,520 --> 00:17:17,880 Speaker 8: Well, guys, has some big news from Washington. 329 00:17:17,960 --> 00:17:18,440 Speaker 4: Tomorrow. 330 00:17:18,520 --> 00:17:21,479 Speaker 8: The Supreme Court will hear arguments on whether the federal 331 00:17:21,520 --> 00:17:26,560 Speaker 8: government can ban TikTok. I expect you to be the 332 00:17:26,560 --> 00:17:29,679 Speaker 8: first time a Supreme Court justice says the word skibbity toilet. 333 00:17:32,119 --> 00:17:33,320 Speaker 3: Should be an interesting case. 334 00:17:33,359 --> 00:17:36,200 Speaker 8: The justices will start scrolling through evidence, then two hours 335 00:17:36,240 --> 00:17:37,600 Speaker 8: later look up like what was he doing? 336 00:17:37,720 --> 00:17:38,320 Speaker 2: Yet? 337 00:17:40,760 --> 00:17:42,720 Speaker 3: It'll be interesting to follow this whole TikTok thing. I 338 00:17:42,720 --> 00:17:44,080 Speaker 3: have no idea it's going to turn out. 339 00:17:44,800 --> 00:17:47,720 Speaker 1: Yeah, really interesting set of legal questions there that we 340 00:17:47,760 --> 00:17:51,680 Speaker 1: won't get into now. But nobody wants to ban TikTok, 341 00:17:51,720 --> 00:17:53,960 Speaker 1: by the way. They just want to not let the 342 00:17:54,280 --> 00:17:57,679 Speaker 1: Chinese Communist Party run it. And there are laws against 343 00:17:58,040 --> 00:18:02,120 Speaker 1: hostile foreign powers running things that happen in the United States. 344 00:18:02,560 --> 00:18:05,120 Speaker 1: So well, you know, we'll consider that as it goes. 345 00:18:05,280 --> 00:18:09,680 Speaker 1: Can't wait to hear the arguments. Ah, so this is terrific. 346 00:18:09,720 --> 00:18:12,560 Speaker 1: I'm going to quote some of a piece by Noah Rothman, 347 00:18:12,600 --> 00:18:15,600 Speaker 1: who writes for the National Review and is an incredibly 348 00:18:15,640 --> 00:18:16,160 Speaker 1: smart guy. 349 00:18:17,280 --> 00:18:20,520 Speaker 4: He has a vocabulary vocabulary. 350 00:18:19,920 --> 00:18:23,479 Speaker 1: That makes mine look like an eight year old one 351 00:18:23,480 --> 00:18:25,720 Speaker 1: of those guys who apparently swallowed a dictionary as a 352 00:18:25,720 --> 00:18:30,720 Speaker 1: small child, and knows all the words. He's talking about 353 00:18:30,760 --> 00:18:33,960 Speaker 1: why cities are so dysfunctional, and he quotes a nineteen 354 00:18:34,000 --> 00:18:36,119 Speaker 1: ninety three lecture from a guy by the name of 355 00:18:36,160 --> 00:18:39,199 Speaker 1: Nat Glazier, who's actually talking about the nineteen sixties and 356 00:18:39,240 --> 00:18:42,280 Speaker 1: the dysfunction in American cities. And he says, New York, 357 00:18:42,480 --> 00:18:44,880 Speaker 1: by way of an example, stop trying to do well 358 00:18:44,920 --> 00:18:47,800 Speaker 1: the kinds of things a city can do, and started 359 00:18:47,840 --> 00:18:49,720 Speaker 1: trying to do the kinds of things. 360 00:18:49,480 --> 00:18:50,680 Speaker 4: A city cannot do. 361 00:18:51,560 --> 00:18:55,000 Speaker 1: The city subordinated, keeping its streets and bridges in repair, 362 00:18:55,359 --> 00:18:58,040 Speaker 1: building new facilities to accommodate the new needs in a 363 00:18:58,080 --> 00:19:01,480 Speaker 1: shifting population, picking up garbage, policing the public environment, that 364 00:19:01,480 --> 00:19:03,840 Speaker 1: sort of thing. It gave those up in favor of 365 00:19:03,880 --> 00:19:07,080 Speaker 1: grander objectives. But in the pursuit of these lofty goals, 366 00:19:07,080 --> 00:19:09,360 Speaker 1: cities stopped doing the things cities know how to do 367 00:19:09,680 --> 00:19:12,040 Speaker 1: and started trying to do things no one knows how 368 00:19:12,040 --> 00:19:12,400 Speaker 1: to do. 369 00:19:12,640 --> 00:19:13,240 Speaker 4: I'm quoting. 370 00:19:13,600 --> 00:19:16,679 Speaker 1: Among the things that can't do are redistributing income on 371 00:19:16,720 --> 00:19:19,720 Speaker 1: a large scale and solving the social and personal problems 372 00:19:19,720 --> 00:19:22,480 Speaker 1: of people who, for whatever reason, are engaged in self 373 00:19:22,480 --> 00:19:26,959 Speaker 1: to start the behavior. Yeah, and Rothman writes, even if 374 00:19:26,960 --> 00:19:29,880 Speaker 1: America's municipal officials did know how to end the scourge 375 00:19:29,880 --> 00:19:33,560 Speaker 1: of racism, eradicate poverty, and change the weather, that is 376 00:19:33,640 --> 00:19:37,840 Speaker 1: not within their job descriptions. And Glazer concluded his lecture 377 00:19:37,920 --> 00:19:42,160 Speaker 1: with the prophetic observation that cities can quickly restore elementary 378 00:19:42,200 --> 00:19:45,120 Speaker 1: governmental functionality if that's what the people. 379 00:19:44,880 --> 00:19:49,639 Speaker 3: Vote for, including obviously fighting fires which is hot. Still 380 00:19:49,680 --> 00:19:52,639 Speaker 3: pardon the expression this week, you know, on that one part, 381 00:19:55,560 --> 00:19:57,560 Speaker 3: I don't know if you get anywhere with the argument 382 00:19:57,680 --> 00:20:00,560 Speaker 3: that the government shouldn't be doing these things because there's 383 00:20:00,560 --> 00:20:02,320 Speaker 3: just too many people that want the government to do 384 00:20:02,320 --> 00:20:04,600 Speaker 3: those things. I think maybe the better argument is the 385 00:20:04,600 --> 00:20:09,320 Speaker 3: first part of their unaccomplishable it's not something anyone could do, 386 00:20:09,600 --> 00:20:12,800 Speaker 3: whether you think it's in their job description or not. 387 00:20:13,560 --> 00:20:15,840 Speaker 1: Yeah, boy, either way, it's tough to convince people. Maybe 388 00:20:15,880 --> 00:20:18,919 Speaker 1: you can convince them, No, city government can't cure all 389 00:20:19,000 --> 00:20:21,160 Speaker 1: human suffering. Leave that to the Feds. 390 00:20:21,400 --> 00:20:22,080 Speaker 3: Oh god. 391 00:20:22,480 --> 00:20:25,359 Speaker 1: But anyway, Glazer obviously and Noah hint that you know, 392 00:20:25,440 --> 00:20:29,880 Speaker 1: Rudy Giuliani came along and did precisely what he's talking about. Said, yeah, 393 00:20:29,880 --> 00:20:33,320 Speaker 1: we don't have grand you know, ethereal goals. 394 00:20:33,320 --> 00:20:35,040 Speaker 4: We're going to get the garbage picked up. 395 00:20:35,840 --> 00:20:37,960 Speaker 1: And they point out only when voters no longer accept 396 00:20:38,000 --> 00:20:41,040 Speaker 1: excuses from their government leaders does the public see proficiency 397 00:20:41,040 --> 00:20:43,720 Speaker 1: in municipal government. And we'll get to that broader theme 398 00:20:43,720 --> 00:20:47,040 Speaker 1: in a second, but there's more great writing. Democratic elected 399 00:20:47,040 --> 00:20:49,439 Speaker 1: officials at the highest levels of local, state, and federal 400 00:20:49,440 --> 00:20:53,320 Speaker 1: government excel when they are tasked only with waxing grand 401 00:20:53,359 --> 00:20:57,640 Speaker 1: eloquent about the metaphysical ills that plague American society, that 402 00:20:57,800 --> 00:21:03,000 Speaker 1: is their core competency, grand promises, and in citing these 403 00:21:03,200 --> 00:21:06,440 Speaker 1: insurmountable problems that they're going to fix. Indeed, they're often 404 00:21:06,440 --> 00:21:11,080 Speaker 1: prone to subordinate the elementary functions of government to virtuous abstractions, 405 00:21:11,560 --> 00:21:14,080 Speaker 1: and when those misplaced priorities give way to a level 406 00:21:14,080 --> 00:21:19,040 Speaker 1: of maladministration, their constituencies resent. Those abstractions provide a convenient 407 00:21:19,119 --> 00:21:23,240 Speaker 1: excuse to justify their failures. The scourge of climate change, 408 00:21:23,320 --> 00:21:27,760 Speaker 1: the rapacious capitalist enterprises, the prejudice in men's hearts. It's 409 00:21:27,800 --> 00:21:31,400 Speaker 1: all just too much to overcome. So they like make 410 00:21:31,440 --> 00:21:34,080 Speaker 1: these speeches about how, if you elect me, I'll overcome 411 00:21:34,119 --> 00:21:35,439 Speaker 1: the prejudice in men's hearts. 412 00:21:35,800 --> 00:21:37,240 Speaker 4: And then when your country, when. 413 00:21:37,080 --> 00:21:40,600 Speaker 1: Your city rather goes to crap, you say, well, it's 414 00:21:40,680 --> 00:21:42,679 Speaker 1: because of the prejudice that lurks in men's hearts. 415 00:21:43,000 --> 00:21:45,880 Speaker 3: It like works before and after, right, And there's too 416 00:21:45,920 --> 00:21:48,280 Speaker 3: many places where you can't get elected by saying if 417 00:21:48,320 --> 00:21:51,880 Speaker 3: I'm elected person in charge, we will continue to pick 418 00:21:51,960 --> 00:21:55,040 Speaker 3: up the garbage on the stated day for your neighborhood. 419 00:21:55,520 --> 00:21:58,080 Speaker 3: We'll continue to have clean water, and we'll have a 420 00:21:58,119 --> 00:21:59,480 Speaker 3: parade every fourth of July. 421 00:21:59,400 --> 00:22:03,360 Speaker 1: The end, right, And we won't let scumbags rob your 422 00:22:03,440 --> 00:22:04,800 Speaker 1: children on the way to school. 423 00:22:05,160 --> 00:22:07,240 Speaker 4: We'll get junkies out of the park. No, you gotta 424 00:22:07,320 --> 00:22:08,280 Speaker 4: solve racism. 425 00:22:08,400 --> 00:22:11,359 Speaker 3: Yeah, maybe it's because so many people take for granted 426 00:22:11,400 --> 00:22:13,879 Speaker 3: the garbage getting picked up and you know, the cops 427 00:22:13,920 --> 00:22:15,840 Speaker 3: trying to keep your neighborhood safe or whatever. Because I 428 00:22:15,880 --> 00:22:19,040 Speaker 3: was thinking about a lot of places in the Middle 429 00:22:19,040 --> 00:22:21,880 Speaker 3: East and Africa, for instance, where things go to hell 430 00:22:22,040 --> 00:22:24,119 Speaker 3: and the reason in Isis or in al Qaeda or 431 00:22:24,160 --> 00:22:27,800 Speaker 3: some other scumbag group can come in and get the 432 00:22:27,800 --> 00:22:30,080 Speaker 3: support of the population is they pick up the trash 433 00:22:30,280 --> 00:22:33,160 Speaker 3: and they make the neighborhood safe, like the very core 434 00:22:33,480 --> 00:22:36,320 Speaker 3: things that government should do. That's what people want done. 435 00:22:37,000 --> 00:22:39,280 Speaker 4: You chop off a couple of arms and the thieves quit. 436 00:22:39,480 --> 00:22:41,399 Speaker 3: I just didn't take over a village and get their 437 00:22:41,440 --> 00:22:44,080 Speaker 3: support because they said we're gonna end income in equality 438 00:22:44,119 --> 00:22:46,520 Speaker 3: or racism or anything like that. Pick up the garbage 439 00:22:46,560 --> 00:22:48,640 Speaker 3: and make it safe, right, So. 440 00:22:48,680 --> 00:22:50,960 Speaker 1: Getting back to a Rothman's piece, California is a prime 441 00:22:51,000 --> 00:22:55,399 Speaker 1: example of this woeful phenomenon Angelino's if long elevated politicians 442 00:22:55,480 --> 00:22:58,960 Speaker 1: believe they have a writ to, for example, quote eliminate 443 00:22:59,080 --> 00:23:03,200 Speaker 1: racial disparity and achieve equality and equity by disrupting harmful 444 00:23:03,240 --> 00:23:05,240 Speaker 1: trends and transforming. 445 00:23:04,640 --> 00:23:05,800 Speaker 4: Systems and policies. 446 00:23:05,960 --> 00:23:08,920 Speaker 1: Those are the very words of Cynthia Mitchell Hurd, president of. 447 00:23:08,880 --> 00:23:10,240 Speaker 4: The La Urban League. 448 00:23:10,480 --> 00:23:13,200 Speaker 1: It was that outlook that led La Mayor Karen Bass 449 00:23:13,240 --> 00:23:16,000 Speaker 1: to treat the fire's department. I'm sorry to treat the 450 00:23:16,040 --> 00:23:19,920 Speaker 1: city's fire department as a social experiment. The deadly wildfires 451 00:23:19,920 --> 00:23:23,360 Speaker 1: that have leveled whole neighborhoods this week have made her decision. 452 00:23:23,440 --> 00:23:26,119 Speaker 1: Bass's decision to cut the city's fire department budget by 453 00:23:26,160 --> 00:23:29,959 Speaker 1: almost eighteen million dollars seem pretty shortsighted that was, in 454 00:23:29,960 --> 00:23:33,560 Speaker 1: fact a compromise on her part. She had sought twenty 455 00:23:33,640 --> 00:23:37,119 Speaker 1: three million dollars in cuts amid the city's efforts to 456 00:23:37,160 --> 00:23:41,360 Speaker 1: contain its growing bums and junkies problem. He says, homelessness 457 00:23:41,400 --> 00:23:45,000 Speaker 1: I use the proper term. Bass inherited from her predecessor, 458 00:23:45,080 --> 00:23:48,919 Speaker 1: Eric Garcetti, an initiative designed to solve the problem of 459 00:23:48,920 --> 00:23:53,040 Speaker 1: too few women volunteering to be firefighters, a problem that persists, 460 00:23:53,080 --> 00:23:56,320 Speaker 1: perhaps because too few women want to be firefighters. The 461 00:23:56,320 --> 00:23:59,720 Speaker 1: city seemed focused more on ensuring that the LAFD flatter 462 00:23:59,760 --> 00:24:03,480 Speaker 1: its leader's ideological pretensions than on whether it was optimized 463 00:24:03,480 --> 00:24:06,840 Speaker 1: to fight fires. And he makes fun of Karen Bass 464 00:24:06,840 --> 00:24:09,040 Speaker 1: a bit more go ahead, So you expect. 465 00:24:08,560 --> 00:24:11,679 Speaker 3: That out of the National Review. They're right, We expect 466 00:24:11,680 --> 00:24:13,920 Speaker 3: that from them. What we're excited about is all these 467 00:24:14,200 --> 00:24:17,359 Speaker 3: celebrity types in LA who are starting to say the 468 00:24:17,359 --> 00:24:19,960 Speaker 3: same sort of thing where Joe Scarborough actually saw this 469 00:24:19,960 --> 00:24:24,360 Speaker 3: this morning on MSNBC. He's a lifelong Republican conservative beaus 470 00:24:24,600 --> 00:24:26,520 Speaker 3: you all know he's abandoned all that stuff since he 471 00:24:26,560 --> 00:24:29,919 Speaker 3: got rich and famous all that. But Joe Scarborough blamed 472 00:24:30,040 --> 00:24:34,720 Speaker 3: LA's fire hellscape on slash spending quote a complete failure 473 00:24:34,800 --> 00:24:39,159 Speaker 3: of government, as he ripped government at all levels for 474 00:24:39,240 --> 00:24:43,119 Speaker 3: causing this problem and went on to say, you can't 475 00:24:43,119 --> 00:24:44,480 Speaker 3: just say it's Karen Bass the mayor. 476 00:24:44,680 --> 00:24:44,920 Speaker 1: Can't. 477 00:24:45,480 --> 00:24:47,639 Speaker 3: You can't just say it's Gavin Newsom. This has been 478 00:24:47,680 --> 00:24:50,680 Speaker 3: a trend for thirty years in California. It's a failure 479 00:24:50,680 --> 00:24:53,920 Speaker 3: of the government at all levels. Glad to hear that 480 00:24:54,800 --> 00:24:58,120 Speaker 3: right in Karen Bass's defense. Then I'll skip to the end. 481 00:24:59,440 --> 00:25:03,680 Speaker 1: She ran on eliminating racial disparities and achieving equality and 482 00:25:03,720 --> 00:25:07,480 Speaker 1: equity by disrupting harmful trends and transforming systems in policies 483 00:25:08,280 --> 00:25:11,000 Speaker 1: anyway to get to the Noah's conclusion, which I think 484 00:25:11,080 --> 00:25:16,119 Speaker 1: is great. For years, the boutique priorities of influential but 485 00:25:16,240 --> 00:25:19,960 Speaker 1: minority interests have crowded out elementary good governance. The problem 486 00:25:20,040 --> 00:25:22,720 Speaker 1: is pronounced in California, but as apparent any in any 487 00:25:22,760 --> 00:25:23,880 Speaker 1: locale where. 488 00:25:23,720 --> 00:25:25,560 Speaker 4: The Blue state models practiced. 489 00:25:25,800 --> 00:25:29,760 Speaker 1: Democratic elected officials stop doing the things municipal officials know 490 00:25:29,920 --> 00:25:33,480 Speaker 1: how to do, the unglamorous work of public life and 491 00:25:33,520 --> 00:25:37,240 Speaker 1: made themselves champions of the glossy causes that reward them 492 00:25:37,240 --> 00:25:42,000 Speaker 1: with attention and donor contributions. Democrats are wildly overconfident in 493 00:25:42,040 --> 00:25:45,040 Speaker 1: their ability to not just govern competently, but to solve 494 00:25:45,200 --> 00:25:49,360 Speaker 1: intractable conundrums that plague modern life. That delusion has produced 495 00:25:49,400 --> 00:25:54,040 Speaker 1: intolerable dysfunction. Until voters in blue locales start demanding basic 496 00:25:54,160 --> 00:25:58,720 Speaker 1: competence of their politicians first and ideological purity second, they 497 00:25:58,720 --> 00:26:00,160 Speaker 1: will be rewarded with more. 498 00:26:00,119 --> 00:26:00,600 Speaker 4: Of the same. 499 00:26:01,000 --> 00:26:03,600 Speaker 3: That's one hundred percent true. I don't like our chances. 500 00:26:04,280 --> 00:26:06,880 Speaker 1: No. It reminds me of that brilliant piece Nellie Bowles 501 00:26:06,880 --> 00:26:09,480 Speaker 1: wrote before I knew who Nellie Bowls was. She's the 502 00:26:10,280 --> 00:26:14,400 Speaker 1: wife of and co person in charge of the Free 503 00:26:14,440 --> 00:26:17,200 Speaker 1: Press now, which is doing great journalism. But she was 504 00:26:17,240 --> 00:26:20,200 Speaker 1: the one who wrote that incredible piece about San Francisco 505 00:26:20,320 --> 00:26:23,320 Speaker 1: and how it becomes so incredibly dysfunctional, and she has 506 00:26:23,359 --> 00:26:25,520 Speaker 1: a die in the wall. Liberal had to admit that, Look, 507 00:26:25,560 --> 00:26:29,560 Speaker 1: policies have results. People are dying on the streets. This 508 00:26:29,600 --> 00:26:33,680 Speaker 1: is not kindness, this is cruelty. This does not work. 509 00:26:34,040 --> 00:26:36,040 Speaker 1: Good for her and good for Noah Rothman. They're both 510 00:26:36,080 --> 00:26:36,680 Speaker 1: one hundred percent. 511 00:26:36,840 --> 00:26:37,000 Speaker 4: Right. 512 00:26:40,520 --> 00:26:44,439 Speaker 3: Well, uh, there's they never let a crisis go to 513 00:26:44,520 --> 00:26:48,960 Speaker 3: waste thing where maybe you take this opportunity to point 514 00:26:48,960 --> 00:26:51,159 Speaker 3: this stuff out. I'm just kind of hoping that people 515 00:26:52,160 --> 00:26:54,879 Speaker 3: becomes obvious to people on their own. Well, this isn't working, 516 00:26:54,920 --> 00:26:56,920 Speaker 3: so we got to change, try something different. I don't 517 00:26:56,920 --> 00:26:58,840 Speaker 3: think it's going to be turning to Republicans, but maybe 518 00:26:58,840 --> 00:27:02,720 Speaker 3: even just moderate Demics as opposed to whack jobs. Yeah, 519 00:27:02,720 --> 00:27:05,199 Speaker 3: there are plenty of examples where somebody's really an R 520 00:27:05,320 --> 00:27:06,879 Speaker 3: but they called themselves a D. 521 00:27:07,320 --> 00:27:09,200 Speaker 4: Like uh, the uh, the guy. 522 00:27:09,240 --> 00:27:13,119 Speaker 1: Just kind elected mayor of San Francisco. In San Francisco, 523 00:27:13,240 --> 00:27:16,080 Speaker 1: he's an R. Oh absolutely, that's fine. Put whatever letter 524 00:27:16,080 --> 00:27:16,679 Speaker 1: next to your name. 525 00:27:17,000 --> 00:27:20,200 Speaker 4: Just get the blocking and tackling of government. Right. 526 00:27:21,119 --> 00:27:22,919 Speaker 3: Yeah, I don't remember did I talk about this for 527 00:27:22,960 --> 00:27:25,000 Speaker 3: the whole network or just for our local stuff that 528 00:27:25,040 --> 00:27:27,640 Speaker 3: I was in San Francisco a day after Christmas. Two 529 00:27:27,680 --> 00:27:30,040 Speaker 3: days after Christmas. It was the cleanest I'd seen the 530 00:27:30,040 --> 00:27:33,480 Speaker 3: city streets maybe ever, certainly in a very very long time. 531 00:27:33,520 --> 00:27:37,080 Speaker 3: I mean the streets were physically clean, like they'd been scrubbed. 532 00:27:37,680 --> 00:27:39,720 Speaker 3: They were shiny and clean, and you would look down 533 00:27:39,760 --> 00:27:42,720 Speaker 3: alleys and see zero trash. And I saw like two 534 00:27:42,800 --> 00:27:45,320 Speaker 3: street people the whole time when I was bumping around, 535 00:27:45,359 --> 00:27:47,879 Speaker 3: and I one street person that I saw by the 536 00:27:47,920 --> 00:27:50,400 Speaker 3: cable cars. All the tourists were lined up to get 537 00:27:50,400 --> 00:27:52,800 Speaker 3: on the cable cars. And there were tourists there because 538 00:27:52,800 --> 00:27:55,280 Speaker 3: it was day after Christmas. Two days after Christmas. There 539 00:27:55,359 --> 00:27:57,600 Speaker 3: was somebody from the city talking to the homeless guy, 540 00:27:57,640 --> 00:27:59,520 Speaker 3: telling him where he needed to go, convincing. 541 00:27:59,200 --> 00:27:59,760 Speaker 4: Him, moere he need to go. 542 00:27:59,840 --> 00:28:02,400 Speaker 3: But one almost guy that was there. So I don't 543 00:28:02,440 --> 00:28:04,679 Speaker 3: know if already the new mayor has had that in 544 00:28:04,760 --> 00:28:05,919 Speaker 3: sort of influence or what. 545 00:28:06,320 --> 00:28:10,040 Speaker 1: But but, but, but but the city hasn't cured racism. 546 00:28:10,400 --> 00:28:14,800 Speaker 1: They haven't ended inequity, they haven't cured all hunger. 547 00:28:16,080 --> 00:28:20,840 Speaker 3: Pick up the effing trash, no kidding, we'll finish strong next. 548 00:28:22,200 --> 00:28:22,520 Speaker 8: Strong. 549 00:28:22,840 --> 00:28:26,040 Speaker 3: Yet I've never been to the CEES, as they called 550 00:28:26,080 --> 00:28:28,480 Speaker 3: the Consumer Electronics Show that's going on in Las Vegas 551 00:28:28,520 --> 00:28:31,640 Speaker 3: right now, where companies roll out their latest, greatest everything 552 00:28:31,760 --> 00:28:33,600 Speaker 3: and uh, you know, it used to be laptops and 553 00:28:33,640 --> 00:28:36,760 Speaker 3: it was the Internet of Everything for a long time, 554 00:28:36,880 --> 00:28:39,480 Speaker 3: and then, uh, you know, various trends come and go. 555 00:28:39,640 --> 00:28:42,920 Speaker 3: Drones were really big. A couple of years ago, reading 556 00:28:42,960 --> 00:28:46,640 Speaker 3: one of the reviews in c net from their tech person. 557 00:28:47,520 --> 00:28:50,560 Speaker 3: This one hundred and seventy five thousand dollars robot is 558 00:28:50,640 --> 00:28:54,400 Speaker 3: almost human. We interviewed it at Cees twenty twenty five. 559 00:28:55,880 --> 00:28:58,479 Speaker 3: They're speaking with Aria. This is one of the robots. 560 00:28:58,520 --> 00:29:02,000 Speaker 3: I showed you a picture of Joe like, oh, super 561 00:29:02,080 --> 00:29:05,160 Speaker 3: hot twenty three year old blonde chick. It's a robot. 562 00:29:06,000 --> 00:29:09,600 Speaker 3: Robots were around every corner during Cees twenty twenty five 563 00:29:09,640 --> 00:29:12,960 Speaker 3: this week, but there was one. Ah, but there was 564 00:29:13,000 --> 00:29:15,840 Speaker 3: one that got very close to sounding and looking actually human. 565 00:29:17,520 --> 00:29:21,680 Speaker 3: They interviewed real Botics is the name of the company's Aria, 566 00:29:21,800 --> 00:29:26,080 Speaker 3: a blonde female. They put in quotes robot who answered questions, 567 00:29:27,240 --> 00:29:30,160 Speaker 3: which just a touch of robotic awkwardness. I found this 568 00:29:30,280 --> 00:29:34,280 Speaker 3: kind of funny. Aria, dressed in a black, very tight tracksuit, 569 00:29:34,680 --> 00:29:37,720 Speaker 3: hesitated briefly after each question before launching into a speech 570 00:29:37,760 --> 00:29:40,720 Speaker 3: with long responses. She came across as a weird blend 571 00:29:40,760 --> 00:29:44,600 Speaker 3: of attentive and mildly inibriated. That might be on purpose, 572 00:29:44,680 --> 00:29:48,400 Speaker 3: So the hot blonde as comes off as slightly drunk. 573 00:29:48,920 --> 00:29:50,000 Speaker 4: But really attentive. 574 00:29:51,800 --> 00:29:54,920 Speaker 3: I don't think that's an accident. And real botics. It 575 00:29:54,960 --> 00:29:57,920 Speaker 3: sounds like here is kind of trying to pretend they 576 00:29:57,960 --> 00:30:00,920 Speaker 3: don't know what these are going to be used for. Robotics. 577 00:30:01,000 --> 00:30:04,280 Speaker 3: The company behind Aria and other humanoid robots say it's 578 00:30:04,280 --> 00:30:10,680 Speaker 3: focused on social intelligence, customize ability, and realistic human features. 579 00:30:10,800 --> 00:30:15,880 Speaker 3: They're also designed specifically for companionship and intimacy. Aria actually 580 00:30:15,920 --> 00:30:20,080 Speaker 3: told them that when the interviewed, I'm for intimacy, Katie. 581 00:30:21,080 --> 00:30:23,960 Speaker 5: I watched the video of this chick and it's twenty 582 00:30:24,000 --> 00:30:26,160 Speaker 5: twenty five? Can we get away from the Pirates of 583 00:30:26,160 --> 00:30:31,320 Speaker 5: the Caribbean? Animatronics thing shows a lot of like robot movements. 584 00:30:31,840 --> 00:30:35,120 Speaker 3: General artificial intelligence is behind the robot's ability to engage 585 00:30:35,160 --> 00:30:37,719 Speaker 3: in real time conversations, though Aria wouldn't reveal the details 586 00:30:37,760 --> 00:30:38,320 Speaker 3: about the program. 587 00:30:39,000 --> 00:30:39,360 Speaker 4: Bah Bah. 588 00:30:39,440 --> 00:30:42,080 Speaker 3: Since a robot has designed for more emotional interactions than 589 00:30:42,120 --> 00:30:46,280 Speaker 3: other robots, they could find their niche worts in hospitals 590 00:30:46,320 --> 00:30:49,480 Speaker 3: and theme parks. Yeah, okay, yeah, possibly that's not what 591 00:30:49,560 --> 00:30:52,200 Speaker 3: this guys. That's not why this guy's designing this one 592 00:30:52,200 --> 00:30:54,560 Speaker 3: to look this way and dressing it that way so 593 00:30:54,600 --> 00:30:57,080 Speaker 3: it can work in a hospital somewhere in clean bennits and. 594 00:30:57,320 --> 00:31:00,920 Speaker 4: Tight, tight little tracksuit that bears its bell. Yeah, that's funny. 595 00:31:00,920 --> 00:31:03,000 Speaker 4: They couldn't find a tracksuit that's fit right or. 596 00:31:02,920 --> 00:31:05,240 Speaker 3: A nurse's outfit to drive home the point that it'd 597 00:31:05,280 --> 00:31:07,080 Speaker 3: be great for working in hospitals. 598 00:31:07,920 --> 00:31:09,680 Speaker 4: I don't want to steal your thunder, but did they 599 00:31:09,680 --> 00:31:10,520 Speaker 4: get down South? 600 00:31:11,680 --> 00:31:15,920 Speaker 3: No? Do they have functioning robogenitals? I'm sure that's an option. 601 00:31:16,800 --> 00:31:18,960 Speaker 3: Clamp that baby right off, things go wrong. 602 00:31:19,520 --> 00:31:19,880 Speaker 4: Wow. 603 00:31:21,000 --> 00:31:23,840 Speaker 3: There are around seventeen motors from the neck up to 604 00:31:23,880 --> 00:31:26,760 Speaker 3: create mouth and eye movements. If you don't like Aria's face, 605 00:31:27,200 --> 00:31:30,240 Speaker 3: you can replace it with others that magnetically attached to 606 00:31:30,280 --> 00:31:34,080 Speaker 3: the head. You want some strange. You can switch out 607 00:31:34,160 --> 00:31:36,520 Speaker 3: hairstyles in colors too, So you. 608 00:31:36,440 --> 00:31:38,280 Speaker 5: Could like go through a breakup and then bring out 609 00:31:38,280 --> 00:31:38,640 Speaker 5: a new. 610 00:31:38,640 --> 00:31:42,120 Speaker 1: Robot like this is my new girlfriend, but then be 611 00:31:42,240 --> 00:31:45,280 Speaker 1: ashamed of it and call the original robot back and 612 00:31:45,320 --> 00:31:47,840 Speaker 1: say I didn't I don't know what I was thinking. 613 00:31:48,000 --> 00:31:51,360 Speaker 3: That is hilarious. Katie, go through a breakup, whatever the 614 00:31:51,360 --> 00:31:54,440 Speaker 3: hell that would mean? You have an argument and you 615 00:31:54,480 --> 00:31:57,000 Speaker 3: put a different face on herd that's it. I'm done 616 00:31:57,040 --> 00:32:00,400 Speaker 3: with you your face, I'm tired of your algorithm. I 617 00:32:00,440 --> 00:32:08,760 Speaker 3: don't know, I just need something different. Uh me, that's 618 00:32:08,880 --> 00:32:13,920 Speaker 3: bull crap. So the loaded version that they showed there 619 00:32:14,360 --> 00:32:20,480 Speaker 3: was one hundred and seventy five thousand dollars hm. 620 00:32:22,040 --> 00:32:29,160 Speaker 4: But they don't mention the the rgs, the what. I 621 00:32:29,200 --> 00:32:30,600 Speaker 4: think that would be a big part of this. 622 00:32:31,280 --> 00:32:32,400 Speaker 3: If it isn't, it will be. 623 00:32:34,640 --> 00:32:40,520 Speaker 2: Hey, kids, it's that time again with Armstrong and Getty. 624 00:32:41,120 --> 00:32:43,320 Speaker 3: Hey are you you're squeezing a little hard? 625 00:32:43,400 --> 00:32:44,240 Speaker 2: Squeeze a little hard? 626 00:32:46,280 --> 00:32:49,240 Speaker 5: So I hold you to a higher standard than robo genitals. 627 00:32:50,880 --> 00:32:54,000 Speaker 4: But that was informative. 628 00:32:54,040 --> 00:32:58,480 Speaker 3: Can I just drama dramatic? Tize, didn't drama how things 629 00:32:58,520 --> 00:32:59,160 Speaker 3: could go wrong? 630 00:33:00,080 --> 00:33:00,680 Speaker 4: That was great. 631 00:33:00,760 --> 00:33:03,680 Speaker 3: Here's your post for final bunch, Joe Getty. 632 00:33:03,920 --> 00:33:05,680 Speaker 1: Hey, let's get a final thought from everybody on the 633 00:33:05,720 --> 00:33:07,240 Speaker 1: crew to wrap things up for the day, which is 634 00:33:07,240 --> 00:33:10,800 Speaker 1: obviously overdue. Michael Langelower, technical director, will lead the way. 635 00:33:10,840 --> 00:33:12,640 Speaker 4: Michael, again, I'm giving you a quick scenario. 636 00:33:12,760 --> 00:33:15,520 Speaker 1: Joe, you got a best friend, best friend in the world. 637 00:33:16,200 --> 00:33:18,080 Speaker 4: He wants you and Judy to go out with him 638 00:33:18,080 --> 00:33:19,440 Speaker 4: and his robotic girlfriend. 639 00:33:19,640 --> 00:33:20,320 Speaker 2: Then you do it. 640 00:33:20,400 --> 00:33:22,440 Speaker 3: That's when we've crossed a line where I've got to 641 00:33:22,480 --> 00:33:24,840 Speaker 3: pretend your girlfriend is real somehow. 642 00:33:25,040 --> 00:33:28,800 Speaker 1: Yeah, No, I make a mistake unless there's some wild, 643 00:33:28,840 --> 00:33:32,360 Speaker 1: extenuating circumstances. I'm sorry, I make an excuse and just 644 00:33:32,400 --> 00:33:35,080 Speaker 1: to no, no, I'm sorry, I can't. We're busy that day. 645 00:33:35,280 --> 00:33:37,520 Speaker 1: I didn't tell you what day, and we're busy that 646 00:33:37,560 --> 00:33:40,280 Speaker 1: one too, uh, Katie Greener steemed a Newswoman. 647 00:33:40,320 --> 00:33:41,960 Speaker 4: As a final thought, Katie, I'd. 648 00:33:41,680 --> 00:33:43,920 Speaker 5: Have an influx of nine to one one calls because 649 00:33:43,960 --> 00:33:45,640 Speaker 5: these things malfunction. 650 00:33:45,240 --> 00:33:46,520 Speaker 3: And guys get stuck in her. 651 00:33:46,880 --> 00:33:50,200 Speaker 1: Oh wow, that's not funny, it's it's painful. 652 00:33:51,400 --> 00:33:51,560 Speaker 2: Jack. 653 00:33:51,600 --> 00:33:52,560 Speaker 4: A final thought for us. 654 00:33:53,720 --> 00:33:56,000 Speaker 3: As I said the other day, I became aware of 655 00:33:56,000 --> 00:33:59,600 Speaker 3: a group of people that have kind of like relationships 656 00:33:59,640 --> 00:34:02,280 Speaker 3: with some robot girls they just chat with. I mean, 657 00:34:02,320 --> 00:34:04,000 Speaker 3: this is not even the robot, this is just the 658 00:34:04,080 --> 00:34:07,360 Speaker 3: voice on a computer. So I for real, no joking 659 00:34:07,400 --> 00:34:09,359 Speaker 3: at all. I think this is going to be a 660 00:34:09,440 --> 00:34:10,399 Speaker 3: thing and soon. 661 00:34:11,880 --> 00:34:12,160 Speaker 4: Yeah. 662 00:34:12,160 --> 00:34:15,759 Speaker 1: Well, my final thought is to recap the stuff we 663 00:34:15,800 --> 00:34:18,759 Speaker 1: were talking about earlier in the hour. Anytime a politician 664 00:34:18,880 --> 00:34:22,439 Speaker 1: starts to launch into their grand plans for fixing what's 665 00:34:22,480 --> 00:34:24,719 Speaker 1: wrong with humanity, ask him if they're going to pick 666 00:34:24,760 --> 00:34:26,960 Speaker 1: up the trash, if they're gonna have enough cops on 667 00:34:27,000 --> 00:34:29,839 Speaker 1: the streets to keep your family safe, that sort of thing. 668 00:34:30,000 --> 00:34:33,240 Speaker 1: Back to brass tax America. 669 00:34:32,520 --> 00:34:35,520 Speaker 3: Armstrong and Getty wrapping up another grueling four hour workday. 670 00:34:35,880 --> 00:34:37,760 Speaker 4: So many people, thanks so a little time. Good to Armstrong. 671 00:34:37,800 --> 00:34:38,480 Speaker 4: In geeddy dot com. 672 00:34:38,520 --> 00:34:40,880 Speaker 1: You can buy one of these fabulous hoodies I'm wearing 673 00:34:40,960 --> 00:34:44,120 Speaker 1: right now, the Ange Adidas hoodie at the store drop 674 00:34:44,160 --> 00:34:45,879 Speaker 1: us lines. There's something we ought to be talking about 675 00:34:45,960 --> 00:34:47,640 Speaker 1: mail bag at Armstrong in geeddy dot com. 676 00:34:47,640 --> 00:34:52,040 Speaker 3: We will see you Monday. God bless America. 677 00:34:51,800 --> 00:34:53,279 Speaker 4: Armstrong and Getty and. 678 00:34:53,320 --> 00:34:55,400 Speaker 3: I said, boy, they look like two people that like 679 00:34:55,440 --> 00:34:56,920 Speaker 3: each other. If these are the kind of guys who 680 00:34:56,920 --> 00:34:59,200 Speaker 3: are like a smacking ash, I think it's nuts. It's 681 00:34:59,239 --> 00:35:03,080 Speaker 3: just the way it is. Imagine a more beautiful thing. 682 00:35:02,200 --> 00:35:04,440 Speaker 4: Can I just say this? You know what I mean. 683 00:35:04,520 --> 00:35:07,200 Speaker 4: It's in particular why you've got a. 684 00:35:07,320 --> 00:35:07,879 Speaker 2: Nerve, bro. 685 00:35:10,760 --> 00:35:11,759 Speaker 1: Or whenever you say that. 686 00:35:13,719 --> 00:35:15,239 Speaker 4: And again, thank you so much for sharing that. 687 00:35:15,320 --> 00:35:20,640 Speaker 3: Bye bye, great Friday, you mother, Armstrong and Gaddy