1 00:00:00,720 --> 00:00:02,960 Speaker 1: If I am six forty, you're listening to the John 2 00:00:02,960 --> 00:00:09,080 Speaker 1: and Ken Show on demand on the iHeartRadio app. We're 3 00:00:09,119 --> 00:00:10,840 Speaker 1: on the radio from one until four, and then after 4 00:00:10,840 --> 00:00:14,560 Speaker 1: four o'clock joined the record breaking swarms who listened to 5 00:00:14,560 --> 00:00:16,640 Speaker 1: the John and Kent podcast. John and Ken on Demand 6 00:00:16,640 --> 00:00:19,280 Speaker 1: posted shortly after four o'clock can catch up on what 7 00:00:19,320 --> 00:00:22,759 Speaker 1: you missed. I'd love to start with this. I just do. 8 00:00:23,239 --> 00:00:25,720 Speaker 2: It's one of my personal fun things to do to 9 00:00:25,840 --> 00:00:29,639 Speaker 2: John Cobilt. What were we talking about leading off the 10 00:00:29,680 --> 00:00:32,600 Speaker 2: show exactly twenty four hours ago at this moment. 11 00:00:33,240 --> 00:00:36,839 Speaker 1: Oh, here we go. I don't remember. I don't remember 12 00:00:36,880 --> 00:00:38,479 Speaker 1: the show. As soon as I get in the car, 13 00:00:39,000 --> 00:00:41,159 Speaker 1: I know. I just enjoyed that. I thought there might 14 00:00:41,200 --> 00:00:44,680 Speaker 1: be a guest. Well it was Biden falling down. Oh yes, yes, well, yes, 15 00:00:44,840 --> 00:00:45,599 Speaker 1: it's a pretty easy one. 16 00:00:45,640 --> 00:00:47,519 Speaker 2: It was a big story yesterday, so I wouldn't I 17 00:00:47,520 --> 00:00:49,440 Speaker 2: wouldn't hit you with something we do that's not quite 18 00:00:49,440 --> 00:00:50,240 Speaker 2: as a big head. 19 00:00:50,360 --> 00:00:50,479 Speaker 3: Oh. 20 00:00:50,479 --> 00:00:51,800 Speaker 1: I went home and watched it some more. 21 00:00:53,000 --> 00:00:58,480 Speaker 2: Yeah, and one listener peaked my curiosity when they wrote 22 00:00:58,480 --> 00:01:02,880 Speaker 2: to us this afternoon about the Biden fall. And again, 23 00:01:02,920 --> 00:01:05,679 Speaker 2: if you don't know, he was handing out diplomas to 24 00:01:05,760 --> 00:01:09,200 Speaker 2: graduates of the Air Force Academy in Colorado, and just 25 00:01:09,319 --> 00:01:11,520 Speaker 2: after he finished, he started to move to his left 26 00:01:11,560 --> 00:01:12,959 Speaker 2: and then plunk, plunk. 27 00:01:14,440 --> 00:01:18,960 Speaker 1: This lister said, what's with Biden's shoes? And I went. 28 00:01:19,120 --> 00:01:22,560 Speaker 2: Really and he sent the pictures the freeze pictures of 29 00:01:22,560 --> 00:01:25,360 Speaker 2: the video. Sure enough, there's a couple of stories on 30 00:01:25,400 --> 00:01:29,120 Speaker 2: the internet. How would I describe this? He's as he 31 00:01:29,280 --> 00:01:30,880 Speaker 2: after he fell over, and he's sort of laying on 32 00:01:30,920 --> 00:01:34,600 Speaker 2: his side. You can see the bottoms of both of 33 00:01:34,600 --> 00:01:39,200 Speaker 2: his shoes, and one of the where the heel is 34 00:01:39,200 --> 00:01:43,800 Speaker 2: is a large sort of rubber horseshoe shaped something to 35 00:01:43,840 --> 00:01:46,000 Speaker 2: the shoe, something to grip the ground better. 36 00:01:46,120 --> 00:01:48,600 Speaker 1: Well, that's a theory, Very good, John Cobalt. 37 00:01:48,720 --> 00:01:53,520 Speaker 2: That apparently social media was set ablaze with theories what 38 00:01:53,640 --> 00:01:57,080 Speaker 2: Frankenstein shoes does Biden wear? I've never seen heels like that, 39 00:01:57,200 --> 00:02:02,240 Speaker 2: said one person. Non slip shoes, that's the leading theory. Yeah, 40 00:02:02,360 --> 00:02:05,200 Speaker 2: they might have something. One person said, well, sometimes they 41 00:02:05,280 --> 00:02:08,160 Speaker 2: used to make you look taller, but Biden, he's six 42 00:02:08,160 --> 00:02:11,079 Speaker 2: feet tall, so yeah, he doesn't have a problem with that. 43 00:02:11,160 --> 00:02:14,640 Speaker 2: Other people, yes, clearly theorize that they added rubber to 44 00:02:14,680 --> 00:02:15,960 Speaker 2: prevent falling all right. 45 00:02:16,440 --> 00:02:20,360 Speaker 1: The downside of that, though, is it can stick. You 46 00:02:20,440 --> 00:02:24,680 Speaker 1: can catch oh, and then you stop short and you 47 00:02:24,720 --> 00:02:27,119 Speaker 1: could fall over if you will make them is going 48 00:02:27,160 --> 00:02:29,800 Speaker 1: a little too uh I too fast. 49 00:02:30,040 --> 00:02:32,639 Speaker 2: They're not particularly thick, but the horseshoe shape is kind 50 00:02:32,639 --> 00:02:36,000 Speaker 2: of funny because another person said they're actually magnets. So 51 00:02:36,080 --> 00:02:38,239 Speaker 2: he doesn't slip on the stairs going up on Air 52 00:02:38,280 --> 00:02:41,680 Speaker 2: Force one. He sticks to the metal because they look 53 00:02:41,760 --> 00:02:44,440 Speaker 2: like magnets, although they're black. It's a black rubber sort 54 00:02:44,480 --> 00:02:48,080 Speaker 2: of shape. Oh, you saw that. 55 00:02:48,160 --> 00:02:50,480 Speaker 1: He also bumped his head coming out of the helicopter 56 00:02:50,520 --> 00:02:53,320 Speaker 1: a few hours later. No, I did not. Oh yes, yes, 57 00:02:53,560 --> 00:02:55,920 Speaker 1: well I didn't see video of him doing it, but 58 00:02:55,960 --> 00:02:58,239 Speaker 1: there is news reports about it, and there's photos of 59 00:02:58,320 --> 00:03:02,040 Speaker 1: him holding his head a few steps away from the helicopter. 60 00:03:02,320 --> 00:03:04,200 Speaker 1: He banged it, I guess on the. 61 00:03:03,919 --> 00:03:08,600 Speaker 2: Roofing it because it's kind of Oh. 62 00:03:08,639 --> 00:03:11,880 Speaker 1: And then one news site today had a list of 63 00:03:12,040 --> 00:03:15,760 Speaker 1: all the world leaders over the years who've fallen in 64 00:03:15,800 --> 00:03:18,480 Speaker 1: public and it was it was it was highly entertaining. 65 00:03:18,520 --> 00:03:21,839 Speaker 1: They had Remember when Hillary Clinton collapsed and they throw 66 00:03:21,880 --> 00:03:24,000 Speaker 1: her in the back of the suv like a sack 67 00:03:24,040 --> 00:03:28,000 Speaker 1: of meat. She passed out and then there was Gerald 68 00:03:28,040 --> 00:03:30,320 Speaker 1: Ford at the bottom of the stairs coming out of 69 00:03:30,440 --> 00:03:32,480 Speaker 1: uh oh, yeah, that's a famous one. That's it. That's it. 70 00:03:32,880 --> 00:03:34,920 Speaker 1: And then you know what they don't I guess they 71 00:03:34,960 --> 00:03:38,040 Speaker 1: don't nobody. They didn't have the video, but he apparently 72 00:03:38,200 --> 00:03:41,120 Speaker 1: skidded down several stairs. It was like boom boom, boom, 73 00:03:41,120 --> 00:03:44,240 Speaker 1: boom boom, and then he reached the bottom. But the 74 00:03:44,280 --> 00:03:47,720 Speaker 1: photo they had was just him crumpled up at the bottom. Well, 75 00:03:47,760 --> 00:03:49,400 Speaker 1: I tell you, all you do is you look for 76 00:03:49,760 --> 00:03:53,040 Speaker 1: if you were to google Biden falls. I forgot during 77 00:03:53,160 --> 00:03:55,760 Speaker 1: election time in twenty twenty or right after he got elected, 78 00:03:55,920 --> 00:03:58,760 Speaker 1: he fractured his right foot. He fell playing with the dog. Yeah, 79 00:03:58,760 --> 00:04:01,119 Speaker 1: and they gave him a special shoe aware back then. 80 00:04:01,960 --> 00:04:05,000 Speaker 1: And then he had the bicycle tumble. He had the 81 00:04:05,040 --> 00:04:07,720 Speaker 1: bicycle tumble, right. It has a lot of like near falls, 82 00:04:07,760 --> 00:04:12,720 Speaker 1: like stumbles. Well, they also threw in Trump, who was 83 00:04:12,760 --> 00:04:18,000 Speaker 1: shuffling down the ramp at one of these events very slowly, 84 00:04:18,560 --> 00:04:21,840 Speaker 1: and and you know, the anti Trump crowd seized on it. 85 00:04:21,839 --> 00:04:24,880 Speaker 1: It's like, hey, look at that. You know, Trump's feeble. 86 00:04:24,880 --> 00:04:27,640 Speaker 1: He can't even walk down the ramp anymore. Because that 87 00:04:27,640 --> 00:04:31,880 Speaker 1: that same week John Biden was seen jogging. Yes, right, 88 00:04:31,960 --> 00:04:35,159 Speaker 1: so so the the Partisans are playing that stupid game. 89 00:04:36,240 --> 00:04:38,560 Speaker 1: But the thing was, I thought Trump had the good 90 00:04:38,560 --> 00:04:42,200 Speaker 1: sense he was holding onto the railing right, you know, 91 00:04:42,560 --> 00:04:46,160 Speaker 1: and he had he had a uniformed guy standing next 92 00:04:46,160 --> 00:04:49,320 Speaker 1: to him, and he said, he goes, look the ramp 93 00:04:49,400 --> 00:04:52,000 Speaker 1: was slippery. I at least had the good sense. 94 00:04:52,200 --> 00:04:56,240 Speaker 2: No rush that Tryden made fun of that, did that. 95 00:04:56,279 --> 00:04:58,880 Speaker 2: Biden had a comment about that, right, but slipping. 96 00:04:59,240 --> 00:05:02,400 Speaker 1: If Biden was such an ego bag, he should have 97 00:05:02,720 --> 00:05:06,160 Speaker 1: like an armed officer escorting him. It would look normal, 98 00:05:06,240 --> 00:05:09,280 Speaker 1: like right, part of the ceremony, and he should just 99 00:05:09,480 --> 00:05:11,960 Speaker 1: take his time and go down. You don't have to 100 00:05:12,000 --> 00:05:15,880 Speaker 1: show how vigorous you are. Nobody believes it anyway. This 101 00:05:15,960 --> 00:05:19,200 Speaker 1: is what he does. He does these really quick little 102 00:05:19,240 --> 00:05:21,760 Speaker 1: scoots to show look at that I'm not eighty. I 103 00:05:21,800 --> 00:05:23,920 Speaker 1: got the energy of a much younger man, and you don't. 104 00:05:24,400 --> 00:05:27,279 Speaker 1: You can't do it anymore, So get an escort and 105 00:05:27,320 --> 00:05:28,200 Speaker 1: just shuffle along. 106 00:05:28,839 --> 00:05:32,680 Speaker 2: Remember that insider story that he was very upset that 107 00:05:32,720 --> 00:05:34,400 Speaker 2: there was so much talk about his age. 108 00:05:34,440 --> 00:05:36,640 Speaker 1: He's very sensitive to it. 109 00:05:36,920 --> 00:05:39,479 Speaker 2: That's probably why he does these little things like tries 110 00:05:39,520 --> 00:05:41,680 Speaker 2: to scoot along and act like he's really and he 111 00:05:41,760 --> 00:05:44,040 Speaker 2: rides that bike in public because he wants to make 112 00:05:44,040 --> 00:05:46,920 Speaker 2: it look like, look, I get my exercise. I'm still 113 00:05:46,920 --> 00:05:50,200 Speaker 2: out there in eighty bicycling around. Don't don't consider me 114 00:05:50,279 --> 00:05:51,239 Speaker 2: to be old and feeble. 115 00:05:51,320 --> 00:05:52,839 Speaker 1: If he keeps that up, he's going to be in 116 00:05:52,839 --> 00:05:55,680 Speaker 1: a coma. You know, one bang of the head. He's 117 00:05:55,680 --> 00:05:59,440 Speaker 1: like in the way he fell, all the old people 118 00:05:59,440 --> 00:06:07,320 Speaker 1: are one all away from flatlining. Savy. Yeah, he had 119 00:06:07,400 --> 00:06:09,120 Speaker 1: a joke later when he got to the White House. 120 00:06:09,000 --> 00:06:11,520 Speaker 2: Too, I got sandbagged because he's still telling people that 121 00:06:11,560 --> 00:06:14,160 Speaker 2: he tripped over somebody if the sandbag on mistake. 122 00:06:13,839 --> 00:06:14,600 Speaker 1: If that's true. 123 00:06:17,560 --> 00:06:19,839 Speaker 2: But yeah, you know, he's one of the It seems 124 00:06:19,880 --> 00:06:22,200 Speaker 2: like President's always golf. He doesn't golf, right, I know 125 00:06:22,279 --> 00:06:24,800 Speaker 2: Clinton golfed and Trump golfed to Bush golf. 126 00:06:24,839 --> 00:06:29,039 Speaker 1: Obama golfed. Yeah, Bush Obama golfed obsessibly. That's right. Yeah, yeah, 127 00:06:29,400 --> 00:06:30,559 Speaker 1: Now Biden doesn't golf. 128 00:06:30,680 --> 00:06:34,400 Speaker 2: We always have presidents of golf, which the elite spear 129 00:06:34,480 --> 00:06:36,719 Speaker 2: that they normally come from. 130 00:06:36,960 --> 00:06:39,680 Speaker 1: Well, we got a lot of great stuff on the 131 00:06:39,760 --> 00:06:40,440 Speaker 1: show today. 132 00:06:40,760 --> 00:06:44,599 Speaker 2: We're going to talk about a lawsuit over giving people 133 00:06:45,160 --> 00:06:48,080 Speaker 2: a universal basic income. I was kind of waiting for 134 00:06:48,120 --> 00:06:52,960 Speaker 2: this to happen because if anything is blatantly wrong by 135 00:06:53,120 --> 00:06:57,680 Speaker 2: actually discriminating against certain classes of folks and giving them 136 00:06:57,720 --> 00:07:00,800 Speaker 2: taxpayer money for a special reason, this would be it. 137 00:07:00,839 --> 00:07:03,600 Speaker 2: We'll find out more about that in the three o'clock hour. 138 00:07:03,800 --> 00:07:07,480 Speaker 1: Already, I'm tired of giving money away to losers. Yeah, 139 00:07:07,600 --> 00:07:09,720 Speaker 1: I don't do it as a matter of course. Yeah, 140 00:07:10,320 --> 00:07:13,120 Speaker 1: I'm fed up with giving out money to losers. 141 00:07:15,440 --> 00:07:17,680 Speaker 2: All right, we got more coming up. Johnny kenkf I 142 00:07:17,720 --> 00:07:20,720 Speaker 2: AM six forty. We're live everywhere the iHeartRadio app. 143 00:07:21,440 --> 00:07:24,800 Speaker 3: You're listening to John and Ken on demand from KFI 144 00:07:25,040 --> 00:07:25,960 Speaker 3: AM six forty. 145 00:07:27,480 --> 00:07:28,880 Speaker 1: We're on the air from one intil four on the 146 00:07:28,960 --> 00:07:31,920 Speaker 1: radio after four iHeart app for the John and Ken 147 00:07:32,080 --> 00:07:36,280 Speaker 1: on demand podcast. Yeah, the Moistliine folks are gonna come back. 148 00:07:36,600 --> 00:07:38,680 Speaker 2: We did round up enough, I guess for the moistline 149 00:07:38,680 --> 00:07:41,440 Speaker 2: to play at three twenty and again at three fifty. 150 00:07:42,000 --> 00:07:45,760 Speaker 1: Shortened the week menimial requirement for broadcast. Yeah, it looks 151 00:07:45,800 --> 00:07:47,840 Speaker 1: like it. We don't know what the quality will be, 152 00:07:47,960 --> 00:07:52,200 Speaker 1: but we certainly have with finals, we just have to 153 00:07:52,240 --> 00:07:54,200 Speaker 1: fill the dead air space, that's all. 154 00:07:55,040 --> 00:07:58,440 Speaker 2: Oh, you can only find a column like this in 155 00:07:58,480 --> 00:08:01,720 Speaker 2: the noted wonderful media outlet known on the John and 156 00:08:01,760 --> 00:08:05,120 Speaker 2: Ken Show as the El Segundo Times. This is Jack Fleming. 157 00:08:05,240 --> 00:08:08,640 Speaker 2: Jack Fleming covers luxury real estate for The Times. 158 00:08:08,840 --> 00:08:10,240 Speaker 1: That's that's his beat. 159 00:08:10,640 --> 00:08:13,000 Speaker 2: A Midwestern boy at heart, he was raised in Saint 160 00:08:13,000 --> 00:08:16,160 Speaker 2: Louis and studied journalism at the University of Missouri before 161 00:08:16,280 --> 00:08:19,680 Speaker 2: joining The Times as an intern. In twenty seventeen, he 162 00:08:19,720 --> 00:08:23,520 Speaker 2: wrote for The Columbia Missourian and Political Europe. Why we 163 00:08:23,560 --> 00:08:27,760 Speaker 2: talk about Jack Fleming because he works, as. 164 00:08:27,680 --> 00:08:29,440 Speaker 1: You know, don'pe be. 165 00:08:29,920 --> 00:08:35,160 Speaker 2: La City voters voted in yet another tax for the 166 00:08:35,440 --> 00:08:42,000 Speaker 2: Homeless Measure ULA, which took effect on April first, now summer, 167 00:08:42,040 --> 00:08:45,120 Speaker 2: calling it the mansion tax. It's what they referred to 168 00:08:45,200 --> 00:08:48,160 Speaker 2: as a transfer tax on all property sales above five 169 00:08:48,240 --> 00:08:51,360 Speaker 2: million that would be four percent, and a five and 170 00:08:51,360 --> 00:08:54,599 Speaker 2: a half percent tax on sales above real estate or 171 00:08:54,720 --> 00:09:00,400 Speaker 2: property transfers of ten million dollars. And after this past 172 00:09:01,400 --> 00:09:04,679 Speaker 2: sometime in March before it took effect or April, we 173 00:09:04,920 --> 00:09:07,400 Speaker 2: noted a couple of stories that there weren't too many 174 00:09:07,400 --> 00:09:11,199 Speaker 2: property sales in La above these levels for that time period, 175 00:09:11,880 --> 00:09:13,720 Speaker 2: or there were plenty of them, but there were none 176 00:09:13,840 --> 00:09:15,760 Speaker 2: after the tax took effect in April. There was I 177 00:09:15,760 --> 00:09:17,760 Speaker 2: think one in the month of April something like that. 178 00:09:17,760 --> 00:09:21,400 Speaker 1: There was a slew of high end sales in March. 179 00:09:21,720 --> 00:09:25,240 Speaker 1: April first comes nothing. Phones are not ringing at the 180 00:09:25,280 --> 00:09:29,120 Speaker 1: real estate office because the rich people unloaded any properties 181 00:09:29,160 --> 00:09:31,760 Speaker 1: that they considered selling. They unloaded them in March. 182 00:09:32,600 --> 00:09:35,680 Speaker 2: And as Jack Fleming writes, well, of course, who would 183 00:09:35,720 --> 00:09:38,400 Speaker 2: be the rich people in LA They probably often be 184 00:09:38,520 --> 00:09:42,320 Speaker 2: celebrities with large real estate holdings. Even celebrities known for 185 00:09:42,400 --> 00:09:46,640 Speaker 2: their liberal ideals and your Meditaranian crusades, happened to sell 186 00:09:46,679 --> 00:09:49,160 Speaker 2: for whatever reason right before the tax went into effect. 187 00:09:49,559 --> 00:09:54,760 Speaker 1: Jim Jack Fleming is really dim well because he repeatedly 188 00:09:54,760 --> 00:09:58,720 Speaker 1: in this article he's astonished that these liberal. 189 00:09:58,440 --> 00:10:03,480 Speaker 2: Wealthy West Side rule celebrities would not gladly pay the tax. 190 00:10:03,640 --> 00:10:06,600 Speaker 1: It donates so much to charities and even goes through 191 00:10:06,600 --> 00:10:10,160 Speaker 1: the charities that they contribute to. It's like, do you understand, 192 00:10:10,280 --> 00:10:15,400 Speaker 1: dim Jack Fleming that celebrities don't mind giving the charity 193 00:10:15,400 --> 00:10:17,520 Speaker 1: they want to give to charity. They don't want to 194 00:10:17,559 --> 00:10:20,600 Speaker 1: give it to that black hole of government where their 195 00:10:20,600 --> 00:10:24,720 Speaker 1: money disappears and helps no one. I guess coming from 196 00:10:24,760 --> 00:10:26,960 Speaker 1: the Midwest, he's one of these guys like, yeah, yeah, 197 00:10:27,000 --> 00:10:29,720 Speaker 1: the government's good. I trust the government. They're always trying 198 00:10:29,720 --> 00:10:32,480 Speaker 1: to do the right thing. No, no, Joe, not in 199 00:10:32,640 --> 00:10:35,360 Speaker 1: La Jack, not in California. Maybe in Missouri they do that. 200 00:10:35,520 --> 00:10:38,840 Speaker 1: Not here. They suck out the money and they do 201 00:10:38,960 --> 00:10:39,760 Speaker 1: nothing good with it. 202 00:10:40,520 --> 00:10:43,480 Speaker 2: So then the article takes another twist where he basically 203 00:10:43,520 --> 00:10:47,000 Speaker 2: tries to say, well, they have accountants and consultants, and 204 00:10:47,080 --> 00:10:50,559 Speaker 2: that's who's responsible for this. That's their jobs. They make 205 00:10:50,600 --> 00:10:53,400 Speaker 2: careers out of helping the rich keep their riches. He 206 00:10:53,520 --> 00:10:57,320 Speaker 2: Chuck Collins, senior scholar at the Institute for Policy Studies, 207 00:10:57,559 --> 00:10:59,960 Speaker 2: who hires these people? These think tanks are some amazing. 208 00:11:01,000 --> 00:11:02,920 Speaker 2: The thing that makes rich people different from you and 209 00:11:02,960 --> 00:11:04,800 Speaker 2: I is that they have a whole industry focused on 210 00:11:04,880 --> 00:11:07,000 Speaker 2: helping them minimize their taxes. 211 00:11:07,200 --> 00:11:08,479 Speaker 1: Like this was a big discovery. 212 00:11:08,960 --> 00:11:11,000 Speaker 2: There would be such people out there to help the 213 00:11:11,040 --> 00:11:12,440 Speaker 2: wealthy minimize their taxes. 214 00:11:12,520 --> 00:11:17,080 Speaker 1: But these are wealthy liberal celebrities. They should gladly pay. 215 00:11:16,760 --> 00:11:20,640 Speaker 1: So Jack Fleming, the way he was baffled by this 216 00:11:20,800 --> 00:11:26,680 Speaker 1: was funny because in one paragraph he writes some whose 217 00:11:26,760 --> 00:11:30,720 Speaker 1: houses sold before the law took effect, have spent many 218 00:11:30,760 --> 00:11:33,600 Speaker 1: millions more on charity than the amount they saved in 219 00:11:33,640 --> 00:11:37,160 Speaker 1: avoiding the tax. In other words, as if they're equal. Right, Yeah, 220 00:11:37,160 --> 00:11:40,560 Speaker 1: what's the big deal. It's not that much tax. It's 221 00:11:40,600 --> 00:11:44,199 Speaker 1: only a couple of million. You know, somebody like Brad 222 00:11:44,200 --> 00:11:48,240 Speaker 1: Pitt spends many more millions helping out the poor. Well, 223 00:11:48,240 --> 00:11:49,640 Speaker 1: that's what this guy explains. 224 00:11:50,000 --> 00:11:52,880 Speaker 2: When a Hollywood star known for giving millions to charitable 225 00:11:52,960 --> 00:11:55,480 Speaker 2: causes sells their mansion days before it be subject to 226 00:11:55,520 --> 00:11:58,040 Speaker 2: a big tax. Oh, it's likely a result of wealth 227 00:11:58,080 --> 00:12:01,320 Speaker 2: advisors suggesting they sell it to a as a financial maneuver. 228 00:12:01,800 --> 00:12:04,480 Speaker 1: Fleming didn't want you to think that the celebrities are bad. 229 00:12:05,200 --> 00:12:08,840 Speaker 1: It's reedy. It's like, oh, it's those evil wealthy bodeered 230 00:12:08,880 --> 00:12:12,120 Speaker 1: there by their wealth advice. The wealth advisors are actually 231 00:12:12,160 --> 00:12:16,400 Speaker 1: manipulating them. No. No, see, the celebrities hire the wealth 232 00:12:16,440 --> 00:12:20,439 Speaker 1: advisors on purpose in order to protect them from these 233 00:12:20,520 --> 00:12:22,720 Speaker 1: kind of government scams, because that's what this is. 234 00:12:22,880 --> 00:12:25,319 Speaker 2: And it really is about picking and choosing. You can 235 00:12:25,360 --> 00:12:26,960 Speaker 2: pick the charity you want to give to. In fact, 236 00:12:27,000 --> 00:12:29,239 Speaker 2: some of these celebrities had mentioned it's their own charities, 237 00:12:29,360 --> 00:12:31,280 Speaker 2: so obviously they get big money because they believe in 238 00:12:31,280 --> 00:12:33,400 Speaker 2: their own causes. But yeah, to turn it over to 239 00:12:33,480 --> 00:12:35,600 Speaker 2: the city of Los Angeles, that's sinkhole. 240 00:12:36,080 --> 00:12:37,920 Speaker 1: Get out of here. I can see some of them saying, 241 00:12:37,920 --> 00:12:40,360 Speaker 1: I give them enough. He's got one here. 242 00:12:40,360 --> 00:12:41,880 Speaker 2: Don't pay an income tax to the city, but they 243 00:12:41,880 --> 00:12:43,839 Speaker 2: pay property tacks. They go to the county to the city. 244 00:12:44,520 --> 00:12:48,400 Speaker 1: Mark Wahlberg founded the Mark Wahlberg Youth Foundation. But then 245 00:12:48,440 --> 00:12:52,120 Speaker 1: he unloaded his uh, his mansion and saved three million 246 00:12:52,160 --> 00:12:55,560 Speaker 1: dollars in taxes. Well, if he's one of. 247 00:12:55,520 --> 00:12:58,360 Speaker 2: The I think he took his whole family to forget where. Yeah, 248 00:12:58,440 --> 00:13:00,400 Speaker 2: he made the news he moved to another state. I 249 00:13:00,400 --> 00:13:01,200 Speaker 2: think it was Nevada. 250 00:13:01,320 --> 00:13:04,120 Speaker 1: But this is what Jack Fleming didn't understand is if 251 00:13:04,160 --> 00:13:08,079 Speaker 1: it's the Mark Wahlberg Youth Foundation, probably he has some oversight. 252 00:13:09,040 --> 00:13:10,880 Speaker 1: Probably he has a lot of say in that money. 253 00:13:11,000 --> 00:13:12,959 Speaker 1: He keeps tracking where the money's going and if it's 254 00:13:13,000 --> 00:13:17,319 Speaker 1: benefiting everybody. But you send it to Karen Bassetti's black 255 00:13:17,360 --> 00:13:22,040 Speaker 1: hole of homelessness, you're ever gonna see it again. And 256 00:13:22,240 --> 00:13:24,240 Speaker 1: that same guy vomiting in front of your house is 257 00:13:24,240 --> 00:13:25,200 Speaker 1: going to be there tomorrow. 258 00:13:25,840 --> 00:13:29,280 Speaker 2: Oh, we shake our head at Brad Pitt. Brad Pitt 259 00:13:29,280 --> 00:13:33,040 Speaker 2: has donated millions through multiple foundations over the years, five 260 00:13:33,040 --> 00:13:36,360 Speaker 2: million to Katrina refugees, a million to Doctors Without Borders. 261 00:13:36,760 --> 00:13:39,280 Speaker 2: But he sold his Hollywood Hills home for thirty nine 262 00:13:39,320 --> 00:13:41,800 Speaker 2: million in the last days of March. By doing so, 263 00:13:42,280 --> 00:13:45,480 Speaker 2: he avoided a two point one four five million dollar 264 00:13:45,559 --> 00:13:48,440 Speaker 2: tax bill. Imagine that, a two million dollars just tax 265 00:13:48,480 --> 00:13:49,520 Speaker 2: bill for selling your house. 266 00:13:50,600 --> 00:13:53,440 Speaker 1: Wouldn't you do that? Yeah, And so what they're getting 267 00:13:53,520 --> 00:13:56,320 Speaker 1: is the La Times scolding them. They're not paying their 268 00:13:56,400 --> 00:13:57,439 Speaker 1: fare share and. 269 00:13:57,440 --> 00:13:59,400 Speaker 2: The homeless they're not going to get this additional Money's 270 00:13:59,600 --> 00:14:02,400 Speaker 2: this was gon the cure homelessness. Yeah, we were right 271 00:14:02,400 --> 00:14:04,360 Speaker 2: there on top of this, and now the celebrity has 272 00:14:04,400 --> 00:14:05,360 Speaker 2: abandoned us. 273 00:14:06,080 --> 00:14:10,720 Speaker 1: This makes me crazy, this blind belief in government when 274 00:14:10,720 --> 00:14:14,120 Speaker 1: they run stories constantly how the government has squandered the 275 00:14:14,160 --> 00:14:17,920 Speaker 1: tax money. Everybody at the LA Times knows, every writer, 276 00:14:18,480 --> 00:14:22,080 Speaker 1: every editor, the owner, the columnists. They all know that 277 00:14:22,240 --> 00:14:26,120 Speaker 1: Los Angeles has squandered billions and got nothing for it 278 00:14:26,360 --> 00:14:29,320 Speaker 1: when it comes to homelessness. And yet they write these 279 00:14:29,720 --> 00:14:33,680 Speaker 1: articles trying to embarrass and chastise the celebrities, and they 280 00:14:33,720 --> 00:14:34,640 Speaker 1: finally gets to it. 281 00:14:34,760 --> 00:14:37,760 Speaker 2: One reason why some wealthy LA residents may prefer charity 282 00:14:37,760 --> 00:14:39,960 Speaker 2: over taxation is that they can control how the money 283 00:14:40,000 --> 00:14:43,360 Speaker 2: is spent. Back to this guy Collins, tax is a 284 00:14:43,360 --> 00:14:46,680 Speaker 2: democratic system where other people make decisions. Private charity is 285 00:14:46,720 --> 00:14:49,280 Speaker 2: not accountable to anyone but you. He gets into the 286 00:14:49,280 --> 00:14:52,920 Speaker 2: mindset of nobody should tell me what to do. Exactly 287 00:14:52,960 --> 00:14:53,720 Speaker 2: what's wrong with that? 288 00:14:53,880 --> 00:14:57,440 Speaker 1: Yes, the way he wrote that, nobody should tell yes, 289 00:14:57,440 --> 00:15:00,920 Speaker 1: you're right, Nobody should tell me what to do. Nobody, 290 00:15:01,640 --> 00:15:05,680 Speaker 1: not Jack Fleming, not the La Times editor, not a celebrity. 291 00:15:05,840 --> 00:15:09,920 Speaker 1: It's my money. I earned it. I get to decide 292 00:15:10,000 --> 00:15:12,800 Speaker 1: how much I want to give to someone. You're not 293 00:15:12,840 --> 00:15:15,120 Speaker 1: gonna shame me into it. You're not gonna embarrass me. 294 00:15:15,160 --> 00:15:17,800 Speaker 1: You're not gonna expose me. It's not your freaking money. 295 00:15:17,960 --> 00:15:20,120 Speaker 1: You go earn money, give it to whoever you want. 296 00:15:20,440 --> 00:15:24,960 Speaker 1: Go pay all the taxes. You pay one hundred percent 297 00:15:25,000 --> 00:15:27,680 Speaker 1: of your income in taxes if you want. I don't care, 298 00:15:27,760 --> 00:15:29,960 Speaker 1: but don't go bugging me. It's not your business. 299 00:15:30,960 --> 00:15:33,760 Speaker 2: And also they do, finally mention at the end, funneling 300 00:15:33,800 --> 00:15:36,520 Speaker 2: money into a foundation such as Bill and Melinda Gates 301 00:15:36,640 --> 00:15:39,640 Speaker 2: or a school such as Kane West Kanye West you 302 00:15:39,680 --> 00:15:42,400 Speaker 2: can save on both a state taxes and income. 303 00:15:42,200 --> 00:15:46,200 Speaker 1: Taxes ques and you get a deduction for a charitable donations. Right, Well, 304 00:15:46,200 --> 00:15:48,640 Speaker 1: that's why they have those deductions to encourage people to 305 00:15:48,640 --> 00:15:51,800 Speaker 1: give you exactly why. They work very well for that reason. 306 00:15:52,400 --> 00:15:54,840 Speaker 2: But it's just just the theme of this to me 307 00:15:55,040 --> 00:15:57,800 Speaker 2: was why would anyone, especially with all that wealth, not 308 00:15:57,840 --> 00:16:01,640 Speaker 2: want to help la cure homelessness. With this brand new attack, 309 00:16:01,880 --> 00:16:04,120 Speaker 2: this mansion tax, it's going to make a big difference, 310 00:16:04,160 --> 00:16:06,720 Speaker 2: I'm sure in getting people off the streets. 311 00:16:06,840 --> 00:16:09,000 Speaker 1: The Wall Street Journal had an article that we'll get 312 00:16:09,040 --> 00:16:11,960 Speaker 1: to later. Here's the hell. Yeah, right, that's a good one. 313 00:16:12,080 --> 00:16:19,280 Speaker 1: California spent seventeen billion dollars on homelessness. It's not working there. 314 00:16:19,360 --> 00:16:21,840 Speaker 1: You go, Jack, open up a real newspaper like the 315 00:16:21,840 --> 00:16:24,360 Speaker 1: Wall Street Journal, and you'll figure out why even the 316 00:16:24,400 --> 00:16:29,680 Speaker 1: Hollywood celebrities I've decided not to blow money on Karen 317 00:16:29,760 --> 00:16:32,000 Speaker 1: Bass's homeless black hole. 318 00:16:32,600 --> 00:16:35,800 Speaker 2: I'm surprised that at some point Jack Fleming didn't write, well, 319 00:16:35,840 --> 00:16:40,240 Speaker 2: Brad Pitt, he could have taken that huge Hollywood Hills 320 00:16:40,280 --> 00:16:42,720 Speaker 2: home and instead of selling it, he could have housed 321 00:16:42,720 --> 00:16:45,280 Speaker 2: the homeless in there. That'll be the next start plenty 322 00:16:45,280 --> 00:16:46,560 Speaker 2: of homeless in Hollywood. 323 00:16:46,640 --> 00:16:49,040 Speaker 1: We're going to get stories about the square footage of 324 00:16:49,040 --> 00:16:52,080 Speaker 1: the mansions that rich people have and how many homeless 325 00:16:52,120 --> 00:16:56,720 Speaker 1: people could live in those twenty thousand square foot mansions. 326 00:16:56,480 --> 00:16:59,080 Speaker 1: That's going to be the next one, because it's up 327 00:16:59,120 --> 00:17:01,480 Speaker 1: to Jack Fleming and the La Times editors what you 328 00:17:01,520 --> 00:17:03,560 Speaker 1: do with your money and who lives in your house. 329 00:17:04,160 --> 00:17:06,200 Speaker 2: All we got more coming up. Johnny Ken kf I 330 00:17:06,400 --> 00:17:07,480 Speaker 2: AM six forty. 331 00:17:07,480 --> 00:17:10,160 Speaker 1: We're live everywhere the iHeartRadio App. 332 00:17:11,160 --> 00:17:14,480 Speaker 3: You're listening to John and Ken on demand from KFI 333 00:17:14,720 --> 00:17:16,000 Speaker 3: AM six forty. 334 00:17:17,480 --> 00:17:19,920 Speaker 1: Live everywhere on the iHeartRadio App on the radio from 335 00:17:19,920 --> 00:17:22,600 Speaker 1: one till four. After four o'clock. The iHeart App is 336 00:17:22,640 --> 00:17:25,520 Speaker 1: the iHeart App. Now you keep doing that at the 337 00:17:25,760 --> 00:17:29,560 Speaker 1: h John and Ken podcast, John and Ken on Demand, 338 00:17:29,840 --> 00:17:32,240 Speaker 1: I Heart App, I Heart appart. 339 00:17:32,320 --> 00:17:33,919 Speaker 2: If you say it really fast, it can come out. 340 00:17:33,960 --> 00:17:38,399 Speaker 2: Iheartap coming up after two o'clock. And John mentioned a 341 00:17:38,440 --> 00:17:40,720 Speaker 2: few minutes ago front page in the Wall Street Journal, 342 00:17:41,280 --> 00:17:46,600 Speaker 2: seventeen billion dollars California spent on homelessness and it ain't work, 343 00:17:46,640 --> 00:17:49,320 Speaker 2: And yeah, it did a detailed look at our problem 344 00:17:49,359 --> 00:17:52,240 Speaker 2: with this stupid way we spend money on homeless. 345 00:17:52,280 --> 00:17:55,479 Speaker 1: So for those of you buffoon voters out there who 346 00:17:55,640 --> 00:18:01,879 Speaker 1: vote for proposition age, proposition hhih, proposition ula on the 347 00:18:01,880 --> 00:18:05,440 Speaker 1: wealthy people, stop doing that. All the money's been wasted. 348 00:18:05,560 --> 00:18:08,120 Speaker 1: You've done no good. All you've done is stolen money 349 00:18:08,119 --> 00:18:08,600 Speaker 1: from people. 350 00:18:10,320 --> 00:18:14,639 Speaker 2: We have a story this afternoon that the ports are 351 00:18:14,680 --> 00:18:19,840 Speaker 2: shutting down. The Port of Oakland definitely shut down this morning. 352 00:18:20,160 --> 00:18:24,720 Speaker 2: Not enough labor operations in Los Angeles, according to CNBC, 353 00:18:24,880 --> 00:18:30,119 Speaker 2: were reported to be closing. This is NBCLA, including a 354 00:18:30,119 --> 00:18:33,720 Speaker 2: few other terminals from the Port of One need me. This, 355 00:18:33,840 --> 00:18:36,760 Speaker 2: of course is the labor dispute. We told you about 356 00:18:36,760 --> 00:18:38,480 Speaker 2: this before. Now with the LA Ports, I know I 357 00:18:38,480 --> 00:18:42,400 Speaker 2: don't know the very port story as well, but they're 358 00:18:42,440 --> 00:18:45,760 Speaker 2: basically doing a work action because they're not happy with 359 00:18:45,880 --> 00:18:49,520 Speaker 2: the long negotiations for their new labor contract. And when 360 00:18:49,520 --> 00:18:52,920 Speaker 2: it comes to the Los Angeles Ports, LA and Long Beach, 361 00:18:53,359 --> 00:18:56,440 Speaker 2: they don't want any automation and they've been fighting that forever. 362 00:18:56,600 --> 00:18:59,920 Speaker 1: It's not just about wages, it's about those. 363 00:18:59,720 --> 00:19:02,840 Speaker 2: Who on the ports have been considering trying to bring 364 00:19:02,880 --> 00:19:06,880 Speaker 2: the ports into the twenty first century. Okay, because many 365 00:19:06,960 --> 00:19:09,680 Speaker 2: ports around the world, particularly in Asia, have a lot 366 00:19:09,720 --> 00:19:11,120 Speaker 2: of automated. 367 00:19:12,720 --> 00:19:16,679 Speaker 1: Facilities. I was listening this morning to the Business, one 368 00:19:16,680 --> 00:19:19,600 Speaker 1: of the business channels, and there was a guy on 369 00:19:19,800 --> 00:19:22,600 Speaker 1: and he was talking about which companies are going to 370 00:19:22,800 --> 00:19:28,240 Speaker 1: benefit long term from artificial intelligence, right, because it's not 371 00:19:28,359 --> 00:19:32,720 Speaker 1: just the companies that are creating the artificial intelligence, but 372 00:19:32,800 --> 00:19:37,720 Speaker 1: it's the companies that will use the artificial intelligence in 373 00:19:38,520 --> 00:19:44,679 Speaker 1: making the automation equipment, right, who will be executing the programming. 374 00:19:45,400 --> 00:19:47,560 Speaker 1: And he was listening to these stock picks and he says, 375 00:19:48,880 --> 00:19:50,760 Speaker 1: in effect, what he said was, I don't think people 376 00:19:50,800 --> 00:19:54,240 Speaker 1: realize what's coming here. He goes, like the industrial revolution, 377 00:19:54,880 --> 00:19:57,520 Speaker 1: this is going to be the automation revolution, and it's 378 00:19:57,560 --> 00:20:03,560 Speaker 1: going to completely change many, many, many people's lives, the 379 00:20:03,680 --> 00:20:06,760 Speaker 1: jobs that they have, how companies are structured, the equipment 380 00:20:06,840 --> 00:20:10,240 Speaker 1: that's used. Because this is just so much more efficient 381 00:20:10,320 --> 00:20:15,240 Speaker 1: and so much faster to use artificial intelligence that the 382 00:20:15,240 --> 00:20:18,760 Speaker 1: way you know, a factory has laid out, any kind 383 00:20:18,800 --> 00:20:21,000 Speaker 1: of business is laid out, is going to be gone. 384 00:20:21,520 --> 00:20:26,680 Speaker 1: It's going to be completely redesigned as the artificial intelligence 385 00:20:26,720 --> 00:20:29,680 Speaker 1: improves and becomes more widespread. So there's a lot of 386 00:20:29,720 --> 00:20:33,600 Speaker 1: people's jobs that are going in the in the shoot, 387 00:20:32,920 --> 00:20:34,080 Speaker 1: you're gone. 388 00:20:34,640 --> 00:20:38,080 Speaker 2: And it's artificial intelligence, as you described, it can take 389 00:20:38,160 --> 00:20:40,120 Speaker 2: forms that we even joked that it could take over 390 00:20:40,160 --> 00:20:42,879 Speaker 2: the news and the Johnny Ken Show. Technically no fine 391 00:20:43,000 --> 00:20:46,000 Speaker 2: good by sort of spitting out issues that we talk 392 00:20:46,040 --> 00:20:49,840 Speaker 2: about every day. Based on the algorithms and the database 393 00:20:49,880 --> 00:20:52,359 Speaker 2: of information, I'm sure we could be replicated. Now with 394 00:20:52,400 --> 00:20:54,760 Speaker 2: the ports, it's a combination of that and just actual 395 00:20:54,800 --> 00:20:58,240 Speaker 2: machine automation where instead of you know, these big lugs 396 00:20:58,240 --> 00:21:01,480 Speaker 2: with their forklifts loading the crates and the shipping crates, 397 00:21:01,880 --> 00:21:05,679 Speaker 2: you can actually have robots during other automated devices doing that. 398 00:21:05,720 --> 00:21:07,160 Speaker 2: It's like, you know, if you go to the airport, 399 00:21:07,359 --> 00:21:09,560 Speaker 2: you could probably find one day, did the baggage handlers 400 00:21:09,560 --> 00:21:12,240 Speaker 2: get replaced by some sort of automated system, so you 401 00:21:12,320 --> 00:21:14,280 Speaker 2: have to sup the bags off the plane down the 402 00:21:14,359 --> 00:21:16,000 Speaker 2: ramp and did the baggage claim area. 403 00:21:15,840 --> 00:21:18,440 Speaker 1: And so you have five guys working instead of five 404 00:21:18,520 --> 00:21:22,760 Speaker 1: hundred guys. So this business analyst was saying that, you know, 405 00:21:23,640 --> 00:21:26,200 Speaker 1: there's some people who want to ban artificial intelligence or 406 00:21:26,240 --> 00:21:30,000 Speaker 1: heavily regulated, and he goes, you can't do it because 407 00:21:30,200 --> 00:21:32,159 Speaker 1: all the other countries are still going to go forward. 408 00:21:32,359 --> 00:21:36,640 Speaker 1: Like you said, Asia, right, Asia's automating its ports, which 409 00:21:36,680 --> 00:21:39,560 Speaker 1: means the Asian ports are more efficient, they'll be less 410 00:21:39,560 --> 00:21:44,760 Speaker 1: expensive to run. The Unions can't hold us back forever 411 00:21:45,359 --> 00:21:51,160 Speaker 1: with their twentieth century ideas, because we've got to compete 412 00:21:51,920 --> 00:21:54,600 Speaker 1: with the whole globe here, and if everybody is running 413 00:21:54,640 --> 00:21:58,040 Speaker 1: ahead of us using automation or artificial intelligence, we can't 414 00:21:58,080 --> 00:22:01,280 Speaker 1: have a bunch of angry guys in a picket line 415 00:22:01,280 --> 00:22:05,800 Speaker 1: on the dock keeping us from competing. It's not going 416 00:22:05,880 --> 00:22:06,240 Speaker 1: to work. 417 00:22:07,000 --> 00:22:10,119 Speaker 2: There were so many problems obviously during the pandemic, as 418 00:22:10,160 --> 00:22:13,600 Speaker 2: you remember all those cargo ships were backed up outside 419 00:22:13,600 --> 00:22:18,160 Speaker 2: the port of la and Long Beach. That frustrations mounted, 420 00:22:18,240 --> 00:22:21,360 Speaker 2: and and some of that was because there's not enough automation. 421 00:22:21,600 --> 00:22:23,520 Speaker 2: Some of that was obviously a lot of it I 422 00:22:23,600 --> 00:22:26,399 Speaker 2: do with many other things involving COVID. But now some 423 00:22:26,440 --> 00:22:29,000 Speaker 2: are sending their goods to other ports in the United States, 424 00:22:29,040 --> 00:22:31,920 Speaker 2: even though we're closer to Asia than all this stuff 425 00:22:31,960 --> 00:22:34,399 Speaker 2: is made. But they're still sending them, like to the 426 00:22:34,760 --> 00:22:37,280 Speaker 2: southern points, because they really do want to deal with 427 00:22:37,320 --> 00:22:37,960 Speaker 2: this anymore. 428 00:22:38,000 --> 00:22:40,120 Speaker 1: The world is going to work around. You may feel 429 00:22:40,160 --> 00:22:42,000 Speaker 1: good in the moment to be on the picket line 430 00:22:42,000 --> 00:22:45,959 Speaker 1: and shaking your fist in the air and making demands. 431 00:22:46,200 --> 00:22:51,200 Speaker 1: But eventually the world moves on without you. Stuff doesn't 432 00:22:51,200 --> 00:22:53,760 Speaker 1: have to come here, it can go somewhere else, And 433 00:22:53,800 --> 00:22:57,720 Speaker 1: because somewhere else is automated and more efficient, it may 434 00:22:57,760 --> 00:23:00,800 Speaker 1: be cheaper. Even if the boat has to travel further distance, 435 00:23:01,240 --> 00:23:03,119 Speaker 1: it may ultimately cost less money. 436 00:23:03,960 --> 00:23:06,359 Speaker 2: The Port of Oakland, which is the main focus of 437 00:23:06,400 --> 00:23:08,679 Speaker 2: the story, because we know for sure that they had 438 00:23:08,680 --> 00:23:12,200 Speaker 2: to shut down today they didn't have enough workers. They 439 00:23:12,240 --> 00:23:15,320 Speaker 2: actually had seen a stronger they thought a stronger second 440 00:23:15,359 --> 00:23:18,000 Speaker 2: half of twenty twenty three was coming to the cargo 441 00:23:18,080 --> 00:23:18,880 Speaker 2: that moves through there. 442 00:23:19,040 --> 00:23:20,880 Speaker 1: It is the eighth largest in the country. 443 00:23:21,880 --> 00:23:27,240 Speaker 2: It imports stuff from Australia, aluminum from South Korea, clothing, electronics, 444 00:23:27,280 --> 00:23:31,960 Speaker 2: and furniture from China. They were thinking that we're going 445 00:23:32,040 --> 00:23:34,600 Speaker 2: to start businesses starting to look up. But big Day 446 00:23:34,600 --> 00:23:38,320 Speaker 2: two apparently for ag exporters. Oh, John, that's probably the 447 00:23:38,400 --> 00:23:42,160 Speaker 2: nuts that go to what's your favorite nut? To the almond? 448 00:23:42,240 --> 00:23:43,439 Speaker 2: Ye go over to Asia. 449 00:23:43,520 --> 00:23:46,399 Speaker 1: The almonds that take eleven percent of our water supply. 450 00:23:46,640 --> 00:23:49,960 Speaker 2: It's a lot of the California ad crops you are 451 00:23:50,000 --> 00:23:52,360 Speaker 2: exported out of the Oakland port to other countries. 452 00:23:52,520 --> 00:23:57,520 Speaker 1: Union workers are refused to load those boxes. But what 453 00:23:57,720 --> 00:24:03,119 Speaker 1: is going to happen when and artificial intelligence takes hold? 454 00:24:03,280 --> 00:24:07,200 Speaker 1: And it will and this massive automation revolution happens, because 455 00:24:07,200 --> 00:24:09,720 Speaker 1: that will happen too. What are all these people gonna 456 00:24:09,720 --> 00:24:15,680 Speaker 1: do because a lot of these people don't have college educations, right, 457 00:24:16,000 --> 00:24:19,320 Speaker 1: and there is there's gonna be fewer college educated oriented 458 00:24:19,440 --> 00:24:25,600 Speaker 1: jobs too. I just read today computer programmers who've been 459 00:24:26,200 --> 00:24:29,080 Speaker 1: learning all the different languages and the coding styles over 460 00:24:29,080 --> 00:24:33,720 Speaker 1: the last forty years. You're all out of business. Artificial 461 00:24:33,760 --> 00:24:37,600 Speaker 1: intelligence comes on its own. They don't need you anymore. 462 00:24:38,400 --> 00:24:40,120 Speaker 2: All right, We got bore coming up. John and Ken 463 00:24:40,200 --> 00:24:44,639 Speaker 2: KFI AM six forty. We're live everywhere. It's the iHeartRadio app. 464 00:24:45,400 --> 00:24:48,760 Speaker 3: You're listening to John and Ken on demand from KFI 465 00:24:48,960 --> 00:24:51,359 Speaker 3: AM six forty. 466 00:24:53,080 --> 00:24:56,240 Speaker 1: On the radio from one till four after four Johnny 467 00:24:56,280 --> 00:24:58,119 Speaker 1: Ken on demand the podcast. 468 00:24:58,720 --> 00:25:03,000 Speaker 2: Commercial in there for the male pubic region, what were 469 00:25:03,040 --> 00:25:07,520 Speaker 2: they selling the grooming grooming to keep your junk groomed here? 470 00:25:07,760 --> 00:25:12,240 Speaker 2: Junk area. They called it the male pubic region, and 471 00:25:12,720 --> 00:25:15,360 Speaker 2: you call it the junk area. No, he said they 472 00:25:15,400 --> 00:25:18,000 Speaker 2: did too. They said they they did what they call yeah. 473 00:25:18,000 --> 00:25:20,200 Speaker 2: He used the word yeah. If your male pubic region 474 00:25:20,240 --> 00:25:21,960 Speaker 2: is looking like junk is how they put it. 475 00:25:22,320 --> 00:25:27,360 Speaker 1: Good. So I think it was a delight product. Oh. Interesting, 476 00:25:28,680 --> 00:25:32,000 Speaker 1: everything John has to be groomed. We have to does 477 00:25:32,040 --> 00:25:33,919 Speaker 1: it all have to be discussed, but we really have. 478 00:25:34,080 --> 00:25:36,480 Speaker 2: You know, we get the homeless who completely don't groom 479 00:25:36,480 --> 00:25:38,800 Speaker 2: and now we got people obsessed with these things thanks 480 00:25:38,840 --> 00:25:41,080 Speaker 2: to social media now and ways that they think they 481 00:25:41,080 --> 00:25:41,720 Speaker 2: can look better. 482 00:25:41,760 --> 00:25:44,000 Speaker 1: It's really quite a wacky. 483 00:25:43,640 --> 00:25:47,080 Speaker 2: World coming up at the two o'clock hour the leads. 484 00:25:47,080 --> 00:25:49,760 Speaker 2: One of the leads stories today in the Wall Street 485 00:25:49,800 --> 00:25:54,920 Speaker 2: Journal is headlined California spent seventeen billion on homelessness. It's 486 00:25:54,960 --> 00:25:57,920 Speaker 2: not working. We'll get into that story. We'll also tell 487 00:25:57,960 --> 00:26:01,920 Speaker 2: you that Walgreens strikes back against the shoplifting problem. 488 00:26:02,480 --> 00:26:03,920 Speaker 1: Will this be what a. 489 00:26:03,880 --> 00:26:06,879 Speaker 2: Store near you looks like? This is coming up in 490 00:26:06,920 --> 00:26:10,359 Speaker 2: the big two o'clock hour. I have to say I've 491 00:26:10,440 --> 00:26:13,720 Speaker 2: traveled recently and this happened three times. Somebody got on 492 00:26:13,720 --> 00:26:16,880 Speaker 2: the plane and they said to the flight attendant, I'm 493 00:26:16,920 --> 00:26:19,040 Speaker 2: getting Maddy here because I want to go somewhere where 494 00:26:19,040 --> 00:26:23,280 Speaker 2: it's sunny. Now, how many times living in southern California. 495 00:26:23,520 --> 00:26:25,520 Speaker 2: Have you heard anybody say that? But I heard that 496 00:26:25,560 --> 00:26:30,119 Speaker 2: three times in a really yes. Apparently the grace guys 497 00:26:30,280 --> 00:26:32,639 Speaker 2: that we've been seeing and it's more than just the 498 00:26:32,720 --> 00:26:36,000 Speaker 2: coastal area. Some of it has crept over further and 499 00:26:36,040 --> 00:26:37,600 Speaker 2: further into La reaches. 500 00:26:38,000 --> 00:26:39,399 Speaker 1: This may be a new record. 501 00:26:39,560 --> 00:26:42,119 Speaker 2: In fact, I heard today, I'm trying to remember the 502 00:26:42,160 --> 00:26:46,880 Speaker 2: exact quote, but the number of eighty degree days in 503 00:26:47,119 --> 00:26:51,160 Speaker 2: La southern California has not been this low this part 504 00:26:51,200 --> 00:26:54,879 Speaker 2: of the year since nineteen nineteen, Is that right? Breaking 505 00:26:54,920 --> 00:26:58,320 Speaker 2: eighty degrees has been pretty rare so far. 506 00:26:59,080 --> 00:27:02,040 Speaker 1: I thought the earth was warming. Well, you know, that's 507 00:27:02,040 --> 00:27:04,359 Speaker 1: probably why I brought this all up. What happened? 508 00:27:04,359 --> 00:27:07,280 Speaker 2: The climate experts are telling us that everything's getting warmer 509 00:27:07,320 --> 00:27:09,639 Speaker 2: and it's gonna be horrible and there's drought and heat 510 00:27:09,720 --> 00:27:13,080 Speaker 2: and yeah, right for Jerry Brown at the Apocalypse. 511 00:27:12,480 --> 00:27:14,720 Speaker 1: That it's gonna be undred and twenty day after that. 512 00:27:15,240 --> 00:27:16,639 Speaker 1: In fact, he I think he went all the way 513 00:27:16,680 --> 00:27:19,360 Speaker 1: up to one hundred and thirty five. Oh did he really? Yes, 514 00:27:19,560 --> 00:27:21,720 Speaker 1: he went out a rant and was he hit one 515 00:27:21,760 --> 00:27:22,320 Speaker 1: thirty five? 516 00:27:23,320 --> 00:27:25,520 Speaker 2: Probably good because you can hit one twenty in places 517 00:27:25,520 --> 00:27:27,720 Speaker 2: like Vegas, and you know, out there in Death Alley. 518 00:27:27,720 --> 00:27:30,880 Speaker 1: But one thirty five is probably would be the all 519 00:27:31,000 --> 00:27:34,640 Speaker 1: time US record one thirty five. Uh, here's the story. 520 00:27:34,880 --> 00:27:36,320 Speaker 1: It wasn't US, but it's close by. 521 00:27:37,000 --> 00:27:40,320 Speaker 2: San Diego was the cloudiest city in the Lower forty 522 00:27:40,359 --> 00:27:43,719 Speaker 2: eight States in May, and La wasn't too far behind. 523 00:27:44,160 --> 00:27:47,600 Speaker 1: That puts it in perspective, doesn't it that we were 524 00:27:47,720 --> 00:27:51,080 Speaker 1: the cloudiest? Oh? Nice, it's the marine lower forty eight States. 525 00:27:51,800 --> 00:27:54,719 Speaker 2: It is the marine layer, which apparently has been hanging 526 00:27:54,760 --> 00:27:55,920 Speaker 2: around and it often does. 527 00:27:55,960 --> 00:27:58,280 Speaker 1: That's why people say May gray and June gloom. 528 00:27:58,520 --> 00:28:01,600 Speaker 2: Yeah, but this kind of started even February and March, 529 00:28:01,680 --> 00:28:04,199 Speaker 2: and it's been kind of dragging onto the whole yearn 530 00:28:04,400 --> 00:28:05,520 Speaker 2: after the rain ended, we. 531 00:28:05,520 --> 00:28:08,760 Speaker 1: Just got clouds. We never really had a spring. We 532 00:28:09,160 --> 00:28:13,480 Speaker 1: didn't know no. And and today we were walking along 533 00:28:14,400 --> 00:28:17,959 Speaker 1: Santa Monica and the sun started coming out early and 534 00:28:18,000 --> 00:28:20,720 Speaker 1: suddenly it warmed up a lot. Soon as the sun 535 00:28:20,760 --> 00:28:23,400 Speaker 1: came out, I thought, I got shot up about fifteen 536 00:28:23,440 --> 00:28:25,919 Speaker 1: degrees and I thought, well, yeah, it's June, so if 537 00:28:25,920 --> 00:28:28,600 Speaker 1: the sun ever comes out, it's gonna get really warm. 538 00:28:28,880 --> 00:28:32,359 Speaker 1: But we just haven't had that gradual increase. We're just 539 00:28:32,400 --> 00:28:36,359 Speaker 1: gonna go from really really chilly to really warm in 540 00:28:36,680 --> 00:28:37,520 Speaker 1: a matter of days. 541 00:28:39,040 --> 00:28:42,560 Speaker 2: Long term weather records, so San Diego's overall average cloud 542 00:28:42,600 --> 00:28:46,280 Speaker 2: cover in May was sixty three point nine percent. The 543 00:28:46,480 --> 00:28:49,320 Speaker 2: high temperature at San Diego's airport only reached seventy degrees 544 00:28:49,360 --> 00:28:52,840 Speaker 2: twice last month. It's overall average of sixty six point 545 00:28:52,880 --> 00:28:56,840 Speaker 2: five degrees tied for the fifth coolest on record. Lax 546 00:28:56,920 --> 00:28:59,520 Speaker 2: was tied for second place with Greensboro, North Carolina, at 547 00:28:59,560 --> 00:29:01,200 Speaker 2: seventy five percent cloud cover. 548 00:29:02,480 --> 00:29:06,800 Speaker 1: Look what happened to global warming? This is a mystery? Huh? 549 00:29:07,040 --> 00:29:11,680 Speaker 2: Now The Times. The Times finally did a story trying 550 00:29:11,680 --> 00:29:14,120 Speaker 2: to explain. Oh my John had mentioned the marine layer. 551 00:29:14,160 --> 00:29:18,120 Speaker 1: Did you read that? It's very complicated, very complicated. 552 00:29:18,440 --> 00:29:20,240 Speaker 2: I started to read it, but by the fifth paragraph, 553 00:29:20,280 --> 00:29:21,120 Speaker 2: I'm like, oh my god. 554 00:29:21,720 --> 00:29:24,440 Speaker 1: Explaining the ocean, the layers, the air layer is what 555 00:29:25,200 --> 00:29:27,280 Speaker 1: is wrong with the editors at the La Times. You 556 00:29:27,360 --> 00:29:30,680 Speaker 1: got to make something digestible for the average person. I 557 00:29:30,720 --> 00:29:32,920 Speaker 1: know a lot about weather, but I hit a wall. 558 00:29:32,760 --> 00:29:34,120 Speaker 2: On this thing. It's like, I don't know what they 559 00:29:34,320 --> 00:29:35,720 Speaker 2: to see. I was counting on you to do a 560 00:29:35,760 --> 00:29:38,400 Speaker 2: little deciphering of this. They actually had a little picture, 561 00:29:38,840 --> 00:29:39,640 Speaker 2: a little graphic. 562 00:29:39,680 --> 00:29:43,960 Speaker 1: I got the idea, but it was worded so densely 563 00:29:44,120 --> 00:29:46,800 Speaker 1: and just so it's such a there's a way to 564 00:29:46,840 --> 00:29:52,440 Speaker 1: explain these complex a way to explain all these conditions 565 00:29:52,440 --> 00:29:57,040 Speaker 1: in a simple manner. Not because you have to treat 566 00:29:57,080 --> 00:30:01,480 Speaker 1: people like simpletons. But we don't all have advanced degrees 567 00:30:01,480 --> 00:30:04,800 Speaker 1: in meteorology, so you're not familiar with the jargon. The 568 00:30:04,920 --> 00:30:07,960 Speaker 1: you know the terminology, and it. 569 00:30:07,920 --> 00:30:10,520 Speaker 2: Says here, the Southlands deep marine layer during the last 570 00:30:10,560 --> 00:30:12,840 Speaker 2: few days has been the result of onshore flow and 571 00:30:12,960 --> 00:30:16,240 Speaker 2: upper level low pressure, such a trough of low pressure 572 00:30:16,240 --> 00:30:18,640 Speaker 2: in an area of rising air in the atmosphere above 573 00:30:18,680 --> 00:30:20,200 Speaker 2: the marine inversion. 574 00:30:20,680 --> 00:30:23,440 Speaker 1: Okay, everybody's lost the marine inversion. Everybody went off the 575 00:30:23,520 --> 00:30:25,440 Speaker 1: ramp there. Yeah, this is the next sentence. 576 00:30:25,480 --> 00:30:27,680 Speaker 2: It decreased air pressure above the inversion. It allows the 577 00:30:27,680 --> 00:30:30,440 Speaker 2: inversion to rise and deepen. If the inversion rises and 578 00:30:30,480 --> 00:30:32,920 Speaker 2: weekends too much, it dissipates. Then the marine layer is 579 00:30:32,960 --> 00:30:33,880 Speaker 2: broken up in the grace. 580 00:30:34,080 --> 00:30:39,160 Speaker 1: My inversion rose this morning. They afternoon it had deepened. 581 00:30:39,440 --> 00:30:41,080 Speaker 1: Was anybody there with you? No, it's just me. 582 00:30:41,760 --> 00:30:44,840 Speaker 2: Because another big story this week is it's not just us. 583 00:30:44,960 --> 00:30:48,800 Speaker 2: The country's hearing about it. The return of El Nino 584 00:30:48,560 --> 00:30:50,080 Speaker 2: to the United States. 585 00:30:50,200 --> 00:30:53,560 Speaker 1: That's that's a story for the autumn. That's not a 586 00:30:53,640 --> 00:30:57,040 Speaker 1: story for me. I guess because it starts to form 587 00:30:57,280 --> 00:30:59,200 Speaker 1: is why they jump on it. I know now there's 588 00:30:59,240 --> 00:31:01,600 Speaker 1: six months ahead, but it could be a week al 589 00:31:01,720 --> 00:31:04,520 Speaker 1: nino or a strong al nino. In other words, we 590 00:31:04,560 --> 00:31:06,920 Speaker 1: don't know. Well, of course, we never know. No. 591 00:31:07,000 --> 00:31:08,720 Speaker 2: The part of this whole segment is that they just 592 00:31:08,760 --> 00:31:10,640 Speaker 2: don't know. They can't tell you what it's gonna do 593 00:31:10,640 --> 00:31:11,840 Speaker 2: in two days. How they're gonna tell you what it's 594 00:31:11,840 --> 00:31:12,640 Speaker 2: gonna do in six months. 595 00:31:12,640 --> 00:31:15,480 Speaker 1: Here's a here's a quick explanation of the inversion. You 596 00:31:15,640 --> 00:31:19,840 Speaker 1: have warm air up above trapping cool air down below. 597 00:31:20,200 --> 00:31:24,480 Speaker 1: That's what we have. That's true. And and because the 598 00:31:24,520 --> 00:31:27,360 Speaker 1: air is supposed to get cooler as you go up 599 00:31:27,360 --> 00:31:30,840 Speaker 1: in altitude, but now it's getting warmer as you go 600 00:31:30,920 --> 00:31:34,560 Speaker 1: up in altitude, Hence it's an inversion. It's the opposite 601 00:31:34,560 --> 00:31:35,400 Speaker 1: what it's supposed to be. 602 00:31:35,560 --> 00:31:37,720 Speaker 2: I knew you'd get us through this. I did that 603 00:31:37,800 --> 00:31:40,200 Speaker 2: and fire in eight seconds, didn't I you should be 604 00:31:40,240 --> 00:31:42,560 Speaker 2: the weather writer for the El Segundo times. 605 00:31:42,680 --> 00:31:45,040 Speaker 1: It should be. I'm sure that pays really well. All 606 00:31:45,120 --> 00:31:46,200 Speaker 1: right when we come back. 607 00:31:46,560 --> 00:31:50,080 Speaker 2: The Wall Street Journal takes a look at California's homelessness spending. 608 00:31:50,280 --> 00:31:52,320 Speaker 1: We call it the homeless industrial complex. 609 00:31:52,800 --> 00:31:57,600 Speaker 2: Seventeen billion dollars and it's not working. John and Ken's 610 00:31:57,600 --> 00:32:02,400 Speaker 2: show kf I Am sixty Live everywhere on the iHeartRadio. 611 00:32:01,760 --> 00:32:04,040 Speaker 1: App, and Deborah Mark Live in the twenty four hour 612 00:32:04,120 --> 00:32:06,480 Speaker 1: Cafe Israel. Hey, you've been listening to the John and 613 00:32:06,560 --> 00:32:07,000 Speaker 1: Ken Show. 614 00:32:07,000 --> 00:32:09,720 Speaker 2: You can always hear us live on CAFI AM six 615 00:32:09,840 --> 00:32:13,120 Speaker 2: forty one pm to four pm every Monday through Friday, 616 00:32:13,160 --> 00:32:16,760 Speaker 2: and of course anytime on demand on the iHeartRadio app.