1 00:00:00,640 --> 00:00:02,040 Speaker 1: Can't find AM six forty. 2 00:00:02,120 --> 00:00:05,560 Speaker 2: You're listening to the John Cobelt podcast on the iHeartRadio app. 3 00:00:06,519 --> 00:00:07,400 Speaker 1: Welcome, how are you? 4 00:00:07,520 --> 00:00:10,200 Speaker 2: We're on every day from one until four o'clock, and 5 00:00:10,200 --> 00:00:13,560 Speaker 2: then after four o'clock John Cobelt Show on demand. That's 6 00:00:13,600 --> 00:00:17,160 Speaker 2: the podcast version on the iHeartRadio app. So there's no 7 00:00:17,200 --> 00:00:21,040 Speaker 2: excuse to miss anything. There never has been. But for 8 00:00:21,079 --> 00:00:25,840 Speaker 2: those of you who claim you're working, well fine, but yeah, 9 00:00:25,840 --> 00:00:28,320 Speaker 2: after four o'clock, just go to the iHeart app and 10 00:00:28,760 --> 00:00:33,960 Speaker 2: pick up the podcast. I just want to I don't 11 00:00:33,960 --> 00:00:37,320 Speaker 2: know if I'm promoting this or warning you. After one thirty, 12 00:00:37,440 --> 00:00:40,600 Speaker 2: the big news story of the day, at least in 13 00:00:41,040 --> 00:00:45,040 Speaker 2: this corner, is that in Denmark they're asking for people 14 00:00:45,120 --> 00:00:49,199 Speaker 2: to donate their live pets to feed to the animals 15 00:00:49,200 --> 00:00:49,800 Speaker 2: in the zoos. 16 00:00:49,800 --> 00:00:52,760 Speaker 3: It's disgusting, it's a horrendous story. 17 00:00:53,560 --> 00:00:57,240 Speaker 1: Well, I think there's some I think there's some logic. 18 00:00:57,400 --> 00:01:01,360 Speaker 3: Now there's none, not a single thing I can think of. 19 00:01:01,560 --> 00:01:05,479 Speaker 2: All right, all right, after one thirty, I just wanted 20 00:01:05,520 --> 00:01:09,680 Speaker 2: to let people know. I don't know what you want 21 00:01:09,680 --> 00:01:11,640 Speaker 2: wild animals to do. They do have to eat meat. 22 00:01:13,280 --> 00:01:15,120 Speaker 2: If you can teach them to be vegan. 23 00:01:14,880 --> 00:01:17,440 Speaker 3: I suppose, well, maybe somebody should try. 24 00:01:20,000 --> 00:01:24,000 Speaker 2: Well, that little guy is not gonna last long, all right, 25 00:01:24,040 --> 00:01:28,920 Speaker 2: So that's coming up after one thirty the La Daily News. 26 00:01:29,680 --> 00:01:32,880 Speaker 2: Here's the here's a big story. California is number one. 27 00:01:33,000 --> 00:01:37,920 Speaker 2: We are number one. We're not number one very often, right, 28 00:01:39,480 --> 00:01:47,040 Speaker 2: We are number one in unemployment. Yes, actually tied for first, 29 00:01:47,600 --> 00:01:52,040 Speaker 2: to be more accurate. Now, the national rate is usually 30 00:01:52,080 --> 00:01:55,240 Speaker 2: about four percent, four point one, four point two, right, 31 00:01:55,960 --> 00:02:01,080 Speaker 2: and that's that's considered normal unemployment. You never get to zero, 32 00:02:01,680 --> 00:02:04,200 Speaker 2: and you wouldn't want zero because then there'd be so 33 00:02:04,320 --> 00:02:08,440 Speaker 2: much competition for jobs it would drive up wages too 34 00:02:08,520 --> 00:02:12,680 Speaker 2: fast and lead to inflation. So four is just the 35 00:02:12,760 --> 00:02:15,960 Speaker 2: normal churn. You know, people people coming and going, they're quitting, 36 00:02:16,160 --> 00:02:18,440 Speaker 2: they're looking for something new, or they've been let go 37 00:02:18,480 --> 00:02:22,440 Speaker 2: and they're looking for something new. But ours is over 38 00:02:22,600 --> 00:02:31,320 Speaker 2: twenty percent higher. Actually it's thirty five percent higher. Five 39 00:02:31,360 --> 00:02:38,320 Speaker 2: point four rate tied with Nevada, and Michigan was third 40 00:02:38,400 --> 00:02:44,119 Speaker 2: at five point three. Texas was number eighteen, Florida number 41 00:02:44,160 --> 00:02:47,200 Speaker 2: twenty six. We always tell you about jobs and companies 42 00:02:47,360 --> 00:02:51,520 Speaker 2: flowing to Texas and Florida, Well they have significantly lower 43 00:02:51,639 --> 00:02:57,919 Speaker 2: unemployment rates. The lowest rates where virtually everybody's working. South 44 00:02:58,000 --> 00:03:02,840 Speaker 2: Dakota and North Dakota and Vermont, almost everybody who is 45 00:03:02,840 --> 00:03:08,040 Speaker 2: an adult and lives there has a job. But California 46 00:03:08,400 --> 00:03:13,280 Speaker 2: is And this story and a couple of others kind 47 00:03:13,320 --> 00:03:17,640 Speaker 2: of breaks apart, like one of the big myths. You know, 48 00:03:17,720 --> 00:03:20,400 Speaker 2: I could probably spend the whole show just reading you 49 00:03:20,639 --> 00:03:26,240 Speaker 2: La Times propaganda, La Times nonsense, the cheerleading, the boosterism 50 00:03:26,280 --> 00:03:29,480 Speaker 2: they do for progressive politics and Gavin news and me. 51 00:03:29,520 --> 00:03:32,400 Speaker 2: You know all that, right, I mean that that horse 52 00:03:32,480 --> 00:03:37,600 Speaker 2: is way past dead. One of the new talking points 53 00:03:38,440 --> 00:03:41,360 Speaker 2: that the progressives and Newsome have are, oh, but we're 54 00:03:41,360 --> 00:03:43,440 Speaker 2: the fourth largest economy. 55 00:03:44,960 --> 00:03:46,200 Speaker 1: Well, I don't know if we have. 56 00:03:46,200 --> 00:03:50,280 Speaker 2: The highest poverty rate and the highest unemployment rate having 57 00:03:50,280 --> 00:03:55,560 Speaker 2: the fourth largest economy is that relevant to normal people's lives, 58 00:03:56,480 --> 00:03:58,880 Speaker 2: the people in the middle and working class. Does that 59 00:03:58,960 --> 00:04:01,680 Speaker 2: mean anything? And the reason we have the fourth largest 60 00:04:01,720 --> 00:04:06,760 Speaker 2: economy is we have a lot of the biggest tech 61 00:04:06,800 --> 00:04:10,680 Speaker 2: corporations in the world. Have you heard about the Magnificent Seven. 62 00:04:13,040 --> 00:04:15,320 Speaker 2: Maybe you've heard it if you listen to business news 63 00:04:15,400 --> 00:04:19,600 Speaker 2: or you've invested in stocks. The Magnificent Seven are seven 64 00:04:19,880 --> 00:04:25,800 Speaker 2: major tech companies which have exploded in value. These are 65 00:04:25,880 --> 00:04:28,440 Speaker 2: the stocks that if you bet on them some years back, 66 00:04:29,279 --> 00:04:34,000 Speaker 2: you could have made a fortune by now. And out 67 00:04:34,040 --> 00:04:35,880 Speaker 2: of that seven, I think more than half of them 68 00:04:35,880 --> 00:04:41,279 Speaker 2: are here in California. Metow which owns Facebook and Instagram. 69 00:04:42,400 --> 00:04:47,040 Speaker 2: You've got Google, Apple, in Vidia, which is the hottest 70 00:04:47,040 --> 00:04:51,640 Speaker 2: of them all right now they make chips and up 71 00:04:51,720 --> 00:04:55,560 Speaker 2: until recently, within the last couple of years, the Tesla 72 00:04:55,760 --> 00:04:58,080 Speaker 2: and Tesla still has a lot of operations here, but 73 00:04:58,160 --> 00:05:01,400 Speaker 2: the headquarters is down Texas, and the other two out 74 00:05:01,400 --> 00:05:02,840 Speaker 2: of it, I mean that's five. And then the other 75 00:05:02,880 --> 00:05:05,840 Speaker 2: two are are in Washington. It would be Amazon and Microsoft. 76 00:05:07,160 --> 00:05:09,640 Speaker 2: But that is the source of much of the wealth 77 00:05:09,680 --> 00:05:16,240 Speaker 2: in California. If you could imagine how many phones Apple 78 00:05:16,320 --> 00:05:20,479 Speaker 2: has sold, how much advertising revenue Facebook and Instagram take 79 00:05:20,520 --> 00:05:23,840 Speaker 2: in right staggering them out. Maybe you don't follow in 80 00:05:23,960 --> 00:05:27,359 Speaker 2: video much, but they are supplying most of the chips, 81 00:05:27,400 --> 00:05:29,800 Speaker 2: about ninety percent of the chips for the AI. 82 00:05:29,839 --> 00:05:32,680 Speaker 1: Revolution, and uh. 83 00:05:34,279 --> 00:05:39,200 Speaker 2: The and then and then Google is a massive advertising engine, 84 00:05:39,880 --> 00:05:44,240 Speaker 2: and and that's what mostly these these these Internet tech giants, 85 00:05:44,440 --> 00:05:49,440 Speaker 2: some of them are they're they're they're advertising venues, which 86 00:05:49,480 --> 00:05:54,200 Speaker 2: is why you know, television has been devastated, radio has 87 00:05:54,200 --> 00:05:57,960 Speaker 2: been hurt. Newspapers not existent now. Right, it's all online 88 00:05:58,000 --> 00:06:01,200 Speaker 2: ads and and it's it's through social media, and it's 89 00:06:01,200 --> 00:06:06,880 Speaker 2: through Google. So that creates a lot of wealth for 90 00:06:06,920 --> 00:06:10,159 Speaker 2: those employees. They a lot of GDP, a lot of profit, 91 00:06:10,440 --> 00:06:13,599 Speaker 2: a lot of taxes they pay, a lot of the 92 00:06:13,600 --> 00:06:18,159 Speaker 2: employees make high salaries and get a lot of stock 93 00:06:20,040 --> 00:06:24,320 Speaker 2: and sell that stock at some point. But the wealth 94 00:06:24,400 --> 00:06:32,080 Speaker 2: is so lopsided towards Silicon Valley companies. Then there's everybody else. 95 00:06:33,279 --> 00:06:36,040 Speaker 2: And if you look at everybody else and then out 96 00:06:36,080 --> 00:06:42,000 Speaker 2: all the illegal aliens, we've got highest unemployment, highest poverty rate, 97 00:06:43,360 --> 00:06:46,279 Speaker 2: most number of people on welfare, most number of people 98 00:06:46,320 --> 00:06:50,279 Speaker 2: on Medicaid. And I could go on and on, but 99 00:06:50,360 --> 00:06:54,600 Speaker 2: you get the point. There's a huge, huge gulf between 100 00:06:54,880 --> 00:06:58,000 Speaker 2: the wealthiest who work and live in the tech areas 101 00:06:58,600 --> 00:07:05,320 Speaker 2: and then everybody else down below. And so you can't newsome, 102 00:07:05,360 --> 00:07:07,120 Speaker 2: can't talk about anything with it. Go wow, I got 103 00:07:07,120 --> 00:07:08,839 Speaker 2: the fourth largest economy in the world. 104 00:07:08,839 --> 00:07:09,920 Speaker 1: It's like, well, shut up. 105 00:07:11,400 --> 00:07:14,800 Speaker 2: You know that's misleading, you know that's wrong. You know 106 00:07:14,880 --> 00:07:18,280 Speaker 2: that middle class and working class people are struggling, and 107 00:07:18,320 --> 00:07:20,760 Speaker 2: the poor just you know, left out, left out to 108 00:07:20,800 --> 00:07:24,840 Speaker 2: die in the streets. Basically, that's how you reduce the 109 00:07:24,880 --> 00:07:27,440 Speaker 2: number of poors. You you let them die in the streets. 110 00:07:28,480 --> 00:07:32,640 Speaker 2: That's the Karen Bass method of governing. So, you know, 111 00:07:32,720 --> 00:07:36,200 Speaker 2: I see this stuff from newsom the La Times. You know, 112 00:07:36,440 --> 00:07:38,600 Speaker 2: I could I could break an artery if I read 113 00:07:38,640 --> 00:07:41,400 Speaker 2: you the latest story where you know they try to 114 00:07:41,840 --> 00:07:49,840 Speaker 2: mitigate some of the bad economic news. Because they actually 115 00:07:49,920 --> 00:07:54,160 Speaker 2: ran a story today trying to mitigate the terrible news 116 00:07:54,160 --> 00:07:58,680 Speaker 2: that California is the worst business climate. Well, you know 117 00:07:58,920 --> 00:08:03,040 Speaker 2: it's it's not kind of political conspiracy that's spreading this story. 118 00:08:03,120 --> 00:08:06,120 Speaker 2: It's because of that worse business climate. It's ranked fifty 119 00:08:06,800 --> 00:08:08,720 Speaker 2: number fifty in the country by Businessman. 120 00:08:10,200 --> 00:08:10,320 Speaker 4: Oh. 121 00:08:10,400 --> 00:08:13,400 Speaker 2: I know what the story was about is about the 122 00:08:14,000 --> 00:08:18,320 Speaker 2: in and Out woman, the woman who family owns in 123 00:08:18,360 --> 00:08:20,840 Speaker 2: and out. You know, she's moving to Tennessee with her family, 124 00:08:22,440 --> 00:08:25,560 Speaker 2: and gee, she's doing this for partly for family purposes. 125 00:08:25,600 --> 00:08:27,360 Speaker 2: And I think they're taking some of the in and 126 00:08:27,400 --> 00:08:32,559 Speaker 2: out offices out to Tennessee as well. And the Times 127 00:08:32,640 --> 00:08:34,880 Speaker 2: is going now now, now, it's not so bad. We're 128 00:08:34,920 --> 00:08:37,199 Speaker 2: the fourth largest economy. It's like, well not if you're 129 00:08:37,240 --> 00:08:41,800 Speaker 2: setting up a Hamburger stands. It's a very difficult state. 130 00:08:42,720 --> 00:08:44,200 Speaker 2: I was just talking to a guy who runs a 131 00:08:44,200 --> 00:08:48,600 Speaker 2: restaurant within the last week, and he's talking about trying 132 00:08:48,600 --> 00:08:51,679 Speaker 2: to run a restaurant. You know, in the La area 133 00:08:51,720 --> 00:08:56,640 Speaker 2: at La County, the minimum wage is extremely difficult to 134 00:08:56,679 --> 00:09:01,319 Speaker 2: deal with. It's simply unaffordable with out raising your prices 135 00:09:01,360 --> 00:09:05,360 Speaker 2: a lot, and then the customers dry up. You know, 136 00:09:05,360 --> 00:09:09,440 Speaker 2: there's only so much you can charge for meals. And 137 00:09:09,600 --> 00:09:13,200 Speaker 2: nobody understands that. And they told me what it's like 138 00:09:13,240 --> 00:09:16,480 Speaker 2: talking to politicians who've never owned a business and trying 139 00:09:16,520 --> 00:09:20,560 Speaker 2: to explain that you cannot constantly jack up the minimum 140 00:09:20,600 --> 00:09:24,679 Speaker 2: wage to eighteen twenty twenty two, twenty five thirty dollars. 141 00:09:25,760 --> 00:09:27,400 Speaker 1: It doesn't work. The math doesn't work. 142 00:09:27,400 --> 00:09:30,280 Speaker 2: And that's why a lot of restaurants have gone out 143 00:09:30,280 --> 00:09:33,720 Speaker 2: of business. And they have clearly right. And that's why 144 00:09:33,760 --> 00:09:39,040 Speaker 2: you've got that's why you have eighteen thousand fast food 145 00:09:39,080 --> 00:09:46,240 Speaker 2: workers who've lost their jobs. The unions are always fighting 146 00:09:46,320 --> 00:09:50,440 Speaker 2: for living wages, and they finally hit a point where 147 00:09:50,480 --> 00:09:54,240 Speaker 2: this living wage of twenty bucks an hour has caused 148 00:09:54,280 --> 00:10:00,640 Speaker 2: eighteen thousand people to have no wage, and nobody stops 149 00:10:00,640 --> 00:10:04,120 Speaker 2: and says, Wow, we really screwed up here because they 150 00:10:04,120 --> 00:10:04,720 Speaker 2: don't care. 151 00:10:07,320 --> 00:10:07,520 Speaker 1: More. 152 00:10:07,559 --> 00:10:11,920 Speaker 5: Coming up, you're listening to John Cobelt on demand from 153 00:10:12,040 --> 00:10:13,920 Speaker 5: KFI AM six forty. 154 00:10:15,120 --> 00:10:18,680 Speaker 2: Oh The Moistline next Friday eight seven seven Moist eighty six. 155 00:10:18,760 --> 00:10:21,640 Speaker 2: Let's got it going eight seven seven Moist steady six, 156 00:10:22,200 --> 00:10:25,280 Speaker 2: or use the talkback feature on the iHeart Radio app. 157 00:10:26,240 --> 00:10:30,760 Speaker 2: Coming up after two o'clock. The big controversy of the 158 00:10:30,840 --> 00:10:34,719 Speaker 2: day in the world of animal rights. 159 00:10:35,600 --> 00:10:38,199 Speaker 1: In Denmark, there's a zoo that says, we. 160 00:10:38,160 --> 00:10:39,959 Speaker 2: Have a lot of wild animals here and they're always 161 00:10:40,000 --> 00:10:41,960 Speaker 2: hungry and it's better for them if they eat live, 162 00:10:42,600 --> 00:10:46,560 Speaker 2: live animals. So if you have an unwanted dog or cat, 163 00:10:47,480 --> 00:10:51,960 Speaker 2: bring them in. Nobody's going to claim them at the 164 00:10:52,000 --> 00:10:56,600 Speaker 2: humane shelter anyway. So provide a nice meal for a 165 00:10:56,880 --> 00:10:59,640 Speaker 2: starving tiger or whatever it is they have. 166 00:11:00,160 --> 00:11:01,240 Speaker 3: Believable and. 167 00:11:03,160 --> 00:11:05,000 Speaker 2: Well, I mean it puts the animal to good use, 168 00:11:05,080 --> 00:11:06,320 Speaker 2: better than being euthanized. 169 00:11:06,600 --> 00:11:07,240 Speaker 3: I don't think so. 170 00:11:07,640 --> 00:11:10,120 Speaker 2: No, no, all right, we'll discuss that coming up after 171 00:11:10,160 --> 00:11:10,679 Speaker 2: one thirty. 172 00:11:11,200 --> 00:11:11,640 Speaker 1: Ia that. 173 00:11:13,240 --> 00:11:16,000 Speaker 2: I was telling you that California is number one for 174 00:11:16,080 --> 00:11:21,960 Speaker 2: employment again and it's five point four percent, tied with 175 00:11:22,320 --> 00:11:28,520 Speaker 2: Nevada our rivals, and they are rivals, their rivals for 176 00:11:28,800 --> 00:11:31,600 Speaker 2: all our businesses and a lot of our residents. Texas 177 00:11:31,640 --> 00:11:34,760 Speaker 2: number eighteen, Florida at number twenty six. And it's not 178 00:11:34,800 --> 00:11:37,200 Speaker 2: so much that, oh, you know, we want to be 179 00:11:37,200 --> 00:11:40,880 Speaker 2: better than every other states. That it's that, you know, 180 00:11:41,000 --> 00:11:46,280 Speaker 2: our our our economy is in bad shape here. The 181 00:11:46,360 --> 00:11:51,240 Speaker 2: unemployment level is high. And look at all. 182 00:11:51,160 --> 00:11:53,800 Speaker 1: The things that are just so expensive. 183 00:11:55,240 --> 00:12:03,640 Speaker 2: You know, they talk about affordability costs. And Texas added 184 00:12:03,840 --> 00:12:08,880 Speaker 2: almost ten million jobs in the last fifty years. Florida 185 00:12:08,920 --> 00:12:17,800 Speaker 2: added seven and a half million. And they're much smaller 186 00:12:18,280 --> 00:12:23,040 Speaker 2: than California. In California in the last fifty years, we 187 00:12:23,080 --> 00:12:28,760 Speaker 2: added ten million. And you know, if you if you 188 00:12:28,840 --> 00:12:31,760 Speaker 2: account for size, that's not that's not that's not a 189 00:12:31,760 --> 00:12:36,120 Speaker 2: good number. Now if you, uh, there's a there's a 190 00:12:36,120 --> 00:12:40,160 Speaker 2: guy named Hector Barajas who wrote a piece today, uh 191 00:12:40,240 --> 00:12:42,560 Speaker 2: it worried for California Globe. It was talking about the 192 00:12:42,559 --> 00:12:47,280 Speaker 2: in and out President Lindsey Snyder, she and her family 193 00:12:47,360 --> 00:12:51,600 Speaker 2: going for Tennessee and going to Tennessee, and she went 194 00:12:51,640 --> 00:12:53,720 Speaker 2: on a podcast and said, there's a lot of great 195 00:12:53,760 --> 00:12:56,480 Speaker 2: things about California, but raising a family is not easy here. 196 00:12:56,800 --> 00:13:00,440 Speaker 2: Doing business is not easy here. I love cal California, 197 00:13:00,559 --> 00:13:08,600 Speaker 2: but California doesn't love me. And Hector Barajas talks about 198 00:13:09,960 --> 00:13:14,800 Speaker 2: how we stack up to the rest, to the rest 199 00:13:14,800 --> 00:13:20,720 Speaker 2: of the country. California lost more residents than it gained 200 00:13:20,720 --> 00:13:27,160 Speaker 2: in twenty twenty four Atlas van Lines. Sixty percent of 201 00:13:27,280 --> 00:13:32,480 Speaker 2: Atlas van Lines customers moved out of California. Fifty six 202 00:13:32,600 --> 00:13:35,840 Speaker 2: percent of California voters have considered leaving because of the 203 00:13:35,880 --> 00:13:40,840 Speaker 2: cost of living. Get this, and this is the secret story. 204 00:13:42,960 --> 00:13:46,199 Speaker 2: Thirty five percent had to choose between food and housing 205 00:13:46,240 --> 00:13:50,400 Speaker 2: in the last month. That's what infuriates me about Newsom 206 00:13:50,600 --> 00:13:52,800 Speaker 2: and the ally time's going on. I've got the fourth 207 00:13:52,840 --> 00:13:56,440 Speaker 2: margest economy. Well that's not really a good thing if 208 00:13:56,520 --> 00:13:58,760 Speaker 2: you're among I mean, that's over a third. Over a 209 00:13:58,840 --> 00:14:00,920 Speaker 2: third of the residents have to choose between food and 210 00:14:00,960 --> 00:14:05,400 Speaker 2: housing every month because housing costs are so high, rental 211 00:14:05,440 --> 00:14:08,240 Speaker 2: costs are so high, gasoline is so high, taxes are 212 00:14:08,240 --> 00:14:08,800 Speaker 2: so high. 213 00:14:09,200 --> 00:14:13,400 Speaker 1: All self inflicted by the government. I don't know. 214 00:14:13,440 --> 00:14:16,120 Speaker 2: If there's a third of people who can't, who have 215 00:14:16,200 --> 00:14:18,400 Speaker 2: to decide between food and housing. 216 00:14:18,360 --> 00:14:21,440 Speaker 1: Maybe you should vote differently. What does it take. 217 00:14:23,880 --> 00:14:28,800 Speaker 2: There are three point eight million California families three point 218 00:14:28,840 --> 00:14:33,400 Speaker 2: eight million, almost four million that don't earn sufficient income 219 00:14:33,440 --> 00:14:35,600 Speaker 2: to meet but basic needs. 220 00:14:37,000 --> 00:14:39,200 Speaker 1: Yeah, and a lot of maybe immigrants. And if that's true, 221 00:14:39,200 --> 00:14:40,040 Speaker 1: then you know that's. 222 00:14:39,880 --> 00:14:44,040 Speaker 2: Why you can't have unlimited illegal immigration because they come 223 00:14:44,120 --> 00:14:46,560 Speaker 2: here and they're really poor, and then the taxpayers have 224 00:14:46,640 --> 00:14:47,760 Speaker 2: to bail them out. 225 00:14:48,720 --> 00:14:49,800 Speaker 1: What's the point of that? 226 00:14:54,200 --> 00:14:56,480 Speaker 2: And he he talks about the gas prices, The housing 227 00:14:56,520 --> 00:15:01,680 Speaker 2: market is extreme, the refineries there a shutting down, building 228 00:15:01,720 --> 00:15:04,800 Speaker 2: codes and labor agreements make it nearly impossible to build 229 00:15:04,800 --> 00:15:05,600 Speaker 2: affordable homes. 230 00:15:05,600 --> 00:15:06,160 Speaker 1: That's true. 231 00:15:06,280 --> 00:15:09,520 Speaker 2: That's all self inflicted by the government, whether it's the 232 00:15:09,520 --> 00:15:12,640 Speaker 2: state government or county and city governments. Tax rates that 233 00:15:12,680 --> 00:15:21,920 Speaker 2: are excessive, and finally things are starting to break. People 234 00:15:22,000 --> 00:15:24,600 Speaker 2: are just packing up and leaving. And he writes about 235 00:15:25,480 --> 00:15:26,920 Speaker 2: how so many people. 236 00:15:29,000 --> 00:15:29,440 Speaker 1: I'll give you. 237 00:15:29,480 --> 00:15:32,560 Speaker 2: I'll give you one paragraph because I have the same 238 00:15:32,600 --> 00:15:35,360 Speaker 2: experience here. He writes, I just had breakfast with a 239 00:15:35,360 --> 00:15:37,680 Speaker 2: friend named Chris. He and his wife are moving to Houston. 240 00:15:37,880 --> 00:15:41,160 Speaker 2: They love California, But like many others I know, small 241 00:15:41,200 --> 00:15:45,520 Speaker 2: business owners, young professionals, retired teachers, pastors, they've reached the 242 00:15:45,520 --> 00:15:48,560 Speaker 2: heartbreaking conclusion that the state they love no longer loves 243 00:15:48,600 --> 00:15:51,400 Speaker 2: them back. Each week more of them are packing up 244 00:15:51,440 --> 00:15:55,200 Speaker 2: and leaving. I have so many My wife and I 245 00:15:55,240 --> 00:15:57,880 Speaker 2: have so many conversations with so many friends who are 246 00:15:57,880 --> 00:16:03,480 Speaker 2: weighing this decision about just just getting out because it's 247 00:16:03,560 --> 00:16:07,920 Speaker 2: just too much. And if you have sixty percent of 248 00:16:07,920 --> 00:16:14,160 Speaker 2: it Atlas vanline customers moving out of California, WHOA, what 249 00:16:14,280 --> 00:16:18,200 Speaker 2: did we tell you about U haul last week? California 250 00:16:18,280 --> 00:16:22,880 Speaker 2: is number one in U haul rentals to move out 251 00:16:23,480 --> 00:16:26,920 Speaker 2: and number fifty in U haul rentals moving in out 252 00:16:26,960 --> 00:16:32,560 Speaker 2: of all the states. So something is happening in ordinary 253 00:16:32,600 --> 00:16:36,400 Speaker 2: lives and ordinary neighborhoods that you don't see covered in 254 00:16:36,440 --> 00:16:40,440 Speaker 2: the media very much like I got this story from 255 00:16:40,720 --> 00:16:46,480 Speaker 2: the California Globe dot com, LA Daily News. It's not 256 00:16:46,520 --> 00:16:49,360 Speaker 2: on the television stations, not on the television networks, not 257 00:16:49,480 --> 00:16:51,520 Speaker 2: in the La Times. In fact, the La Times will 258 00:16:51,520 --> 00:16:54,400 Speaker 2: print print the opposite saying, well, you know, we really 259 00:16:54,440 --> 00:16:59,640 Speaker 2: have the fourth largest economists. Look at this, We are 260 00:16:59,640 --> 00:17:04,720 Speaker 2: sitting records for people renting vans and renting. 261 00:17:04,960 --> 00:17:08,240 Speaker 1: Uhaul carriers to get out of here. Look at this. 262 00:17:08,240 --> 00:17:11,000 Speaker 1: This doesn't lie. 263 00:17:11,200 --> 00:17:15,160 Speaker 2: Everyone of those rental agreements has a name on it, 264 00:17:15,200 --> 00:17:17,879 Speaker 2: and the name is attached to an address, and the 265 00:17:17,920 --> 00:17:23,440 Speaker 2: address means somebody isn't living there anymore. They got out, 266 00:17:27,640 --> 00:17:32,600 Speaker 2: you would think, right since the bubblehead Tamala Harris dropped out, 267 00:17:32,640 --> 00:17:37,879 Speaker 2: So people aren't going to be mesmerized by whatever, you know, whatever, 268 00:17:38,080 --> 00:17:41,280 Speaker 2: I don't know. If she hypnotizes people, whatever our surrounds her, 269 00:17:41,480 --> 00:17:44,040 Speaker 2: that makes people think she's competent at anything. 270 00:17:46,480 --> 00:17:47,359 Speaker 1: All right, that's god. 271 00:17:47,880 --> 00:17:52,880 Speaker 2: Now we're left with a bunch of nameless, faceless, washed 272 00:17:52,960 --> 00:17:58,960 Speaker 2: up wannabes, never wors recycled political trash. 273 00:17:59,000 --> 00:18:03,280 Speaker 1: That's all. That's where. On the Democratic side. 274 00:18:02,760 --> 00:18:08,560 Speaker 2: Maybe somebody else, there's a couple of Republican guys who 275 00:18:08,600 --> 00:18:12,240 Speaker 2: look interesting. There might be a Democrat guy who's interesting. 276 00:18:14,280 --> 00:18:16,080 Speaker 2: Maybe somebody is going to come fly it in from 277 00:18:16,080 --> 00:18:20,840 Speaker 2: the outside. But you cannot elect this, this crowd of 278 00:18:21,760 --> 00:18:30,600 Speaker 2: rehashed leftovers, refugees from la and Sacramento, government losers from 279 00:18:30,640 --> 00:18:33,960 Speaker 2: the Biden and the Newsome administration. I mean, you can't 280 00:18:34,040 --> 00:18:38,159 Speaker 2: do this. We're at the breaking point. Finally, are we 281 00:18:38,200 --> 00:18:44,480 Speaker 2: come back something completely different? Big controversy today in Denmark 282 00:18:44,520 --> 00:18:47,280 Speaker 2: there's a zoo. Zoo's very upfront saying hey, look, we 283 00:18:47,359 --> 00:18:53,080 Speaker 2: got to feed live animals too, our wild zoo friends. 284 00:18:54,040 --> 00:18:56,240 Speaker 2: So if you have an extra dog or a cat 285 00:18:56,320 --> 00:19:03,280 Speaker 2: that you no longer want, bring them over. And he's 286 00:19:03,320 --> 00:19:05,560 Speaker 2: tonight's dinner for. 287 00:19:05,720 --> 00:19:08,600 Speaker 3: Some Enny jerk. 288 00:19:10,480 --> 00:19:14,240 Speaker 4: I had to edit my thoughts that would bring their 289 00:19:14,280 --> 00:19:18,639 Speaker 4: domestic animal. Yeah, to that zoo is a piece of work. 290 00:19:19,119 --> 00:19:24,480 Speaker 2: Yeah, work what you meant to say. You should see 291 00:19:24,520 --> 00:19:26,160 Speaker 2: the steely gaze in her eyes. 292 00:19:27,720 --> 00:19:31,560 Speaker 5: You're listening to John Cobels on demand from kf I 293 00:19:31,760 --> 00:19:32,600 Speaker 5: Am six forty. 294 00:19:33,359 --> 00:19:36,280 Speaker 2: We're on from one until four and if you miss 295 00:19:36,320 --> 00:19:39,199 Speaker 2: anything then after four o'clock it's John Cobelt Show on demand. 296 00:19:39,200 --> 00:19:42,840 Speaker 2: The podcast on the iHeart app and you can follow 297 00:19:42,920 --> 00:19:45,520 Speaker 2: us at John Cobelt Radio. It's on social media at 298 00:19:45,560 --> 00:19:48,760 Speaker 2: John Cobelt Radio. All right, here's the big deal story 299 00:19:48,800 --> 00:19:52,160 Speaker 2: of the day. There's a zoo in Denmark called the 300 00:19:52,200 --> 00:19:55,720 Speaker 2: Alborg Zoo AA l B O r CHI. If you 301 00:19:55,720 --> 00:19:58,840 Speaker 2: want to go looking for it, it's Alborg Zoo dot 302 00:19:58,920 --> 00:20:04,520 Speaker 2: DK and Mark, and they put on their website on 303 00:20:04,560 --> 00:20:10,200 Speaker 2: social media they want donations of small pets to feed 304 00:20:11,680 --> 00:20:16,480 Speaker 2: all their predatory animals that they care for. And I 305 00:20:17,000 --> 00:20:19,320 Speaker 2: looked on the website. I mean, just click over here. 306 00:20:19,920 --> 00:20:22,439 Speaker 2: I looked on the website and they have photos of 307 00:20:23,920 --> 00:20:32,840 Speaker 2: polar bears, tigers, giraffes, I know, some animal with longhorns. 308 00:20:34,560 --> 00:20:39,320 Speaker 2: They have a dinosaur, a dinosaur. Oh yeah, yeah, they've 309 00:20:39,320 --> 00:20:43,000 Speaker 2: got a photo of a dinosaur prowling through the woods. 310 00:20:44,400 --> 00:20:44,879 Speaker 1: Maybe it's a. 311 00:20:44,880 --> 00:20:46,560 Speaker 3: Fake one, Okay, I thought they were extinct. 312 00:20:48,320 --> 00:20:49,440 Speaker 1: I think they brought them back. 313 00:20:51,080 --> 00:20:54,240 Speaker 6: Well, if they have crocodiles, those are technically dinosaurs. 314 00:20:54,119 --> 00:20:56,080 Speaker 2: Right, But yeah, I mean this one looks like a 315 00:20:56,080 --> 00:20:57,800 Speaker 2: dinosaur standing on its legs, So I don't know. 316 00:20:57,840 --> 00:21:00,080 Speaker 1: Maybe an experiment went crazy. 317 00:21:00,080 --> 00:21:04,440 Speaker 2: Have wart hogs orangutans, baboons. 318 00:21:04,680 --> 00:21:06,720 Speaker 1: Penguins, all right, So that's a typical zoo. 319 00:21:08,240 --> 00:21:10,800 Speaker 2: And the Albarg Zoo says it wants to mimic the 320 00:21:10,880 --> 00:21:14,480 Speaker 2: natural food chain of the animals for the sake of 321 00:21:14,560 --> 00:21:18,480 Speaker 2: animal welfare and professional integrity. See, they think, if they're 322 00:21:18,560 --> 00:21:24,840 Speaker 2: proper caretakers, they have to feed the animals real fresh meat, 323 00:21:26,400 --> 00:21:29,080 Speaker 2: and which is what they would find in the wild. 324 00:21:29,920 --> 00:21:31,199 Speaker 3: But they're not in the wild. 325 00:21:32,560 --> 00:21:37,119 Speaker 4: Animals that the zoo people want brought to them would 326 00:21:37,119 --> 00:21:39,800 Speaker 4: not be animals that these animals in the zoo would 327 00:21:39,840 --> 00:21:40,320 Speaker 4: be hunting. 328 00:21:41,280 --> 00:21:45,800 Speaker 1: Well, but you know me is me? I mean, the 329 00:21:46,720 --> 00:21:48,119 Speaker 1: tiger's not going to know any different. 330 00:21:48,760 --> 00:21:52,880 Speaker 2: It bites into Well, they're looking for horses, for example, 331 00:21:53,000 --> 00:21:54,960 Speaker 2: Oh no, yeah. 332 00:21:54,960 --> 00:21:57,000 Speaker 3: Somebody's going to bring their horse to the zoo and 333 00:21:57,000 --> 00:21:58,200 Speaker 3: say here, No. 334 00:22:00,480 --> 00:22:06,600 Speaker 2: Alborg Zoo gratefully accepts live horses, which we euthanize, so 335 00:22:06,880 --> 00:22:09,200 Speaker 2: they do kill them right before they're fed. 336 00:22:09,280 --> 00:22:12,320 Speaker 1: It's not like they throw a live horse. Well I 337 00:22:12,359 --> 00:22:12,960 Speaker 1: thought that. 338 00:22:12,880 --> 00:22:16,960 Speaker 4: Was the point that they throw live animals to these animals. 339 00:22:16,640 --> 00:22:22,919 Speaker 2: Well, they're they're just killed and then immediately thrown and 340 00:22:23,040 --> 00:22:26,000 Speaker 2: so the meat is fresh, you see. So they're not 341 00:22:26,200 --> 00:22:30,760 Speaker 2: thinking at old carcasses. It might be unwieldy to bring 342 00:22:30,800 --> 00:22:33,320 Speaker 2: a live worse and the horse may object. 343 00:22:33,359 --> 00:22:35,000 Speaker 3: Well, well yes, I would hope. 344 00:22:35,040 --> 00:22:37,840 Speaker 2: So if you bring the horse to it back of 345 00:22:37,840 --> 00:22:39,760 Speaker 2: a tiger cage, the horse is gonna go, well, I 346 00:22:39,760 --> 00:22:40,280 Speaker 2: don't like this. 347 00:22:40,400 --> 00:22:41,600 Speaker 3: Well, the headline's deceiving. 348 00:22:44,080 --> 00:22:46,720 Speaker 4: Oh so it's okay, I say that. I'm just saying 349 00:22:46,720 --> 00:22:47,960 Speaker 4: the headline is deceiving. 350 00:22:50,240 --> 00:22:53,640 Speaker 2: Gratefully accepts live horses, which you euthanize and slaughter for feed. 351 00:22:54,600 --> 00:22:58,560 Speaker 2: At Alburt Zoo. Our needs may vary throughout the year 352 00:22:58,680 --> 00:23:02,320 Speaker 2: and there might be a waiting list, they might get, 353 00:23:02,400 --> 00:23:04,240 Speaker 2: you know, too many horse donations. 354 00:23:04,960 --> 00:23:06,439 Speaker 1: I guess the Danish people are cold. 355 00:23:06,520 --> 00:23:09,560 Speaker 2: I mean you think, well, is that one of those 356 00:23:09,600 --> 00:23:13,359 Speaker 2: assistant suicide countries. I don't know, because once you get 357 00:23:13,359 --> 00:23:18,560 Speaker 2: into Scandinavia, assistant suicide is really encouraged. So I mean, 358 00:23:18,600 --> 00:23:21,159 Speaker 2: if they're willing to off you know, the grandparents and 359 00:23:21,160 --> 00:23:26,120 Speaker 2: aunts and uncles, why not the why not the pets Netherlands. 360 00:23:26,359 --> 00:23:29,080 Speaker 6: Denmark does not have legal assisted suicide. 361 00:23:29,200 --> 00:23:33,200 Speaker 2: Oh does not? Yes, I just know it's popular nearby though, well, 362 00:23:33,200 --> 00:23:36,800 Speaker 2: the Netherlands Netherlands. Now I get those two countries confused. 363 00:23:39,760 --> 00:23:42,720 Speaker 2: Guinea pigs, rabbits, chickens. 364 00:23:44,600 --> 00:23:45,840 Speaker 3: I just here's the thing. 365 00:23:46,000 --> 00:23:47,679 Speaker 1: Is it just puppies that catch you upset? 366 00:23:48,280 --> 00:23:52,240 Speaker 3: Puppies and cats and kittens, all animals. I just can't imagine. 367 00:23:52,760 --> 00:23:55,360 Speaker 4: What I thought when I first heard this is somebody's 368 00:23:55,400 --> 00:23:57,159 Speaker 4: going to take their dog instead of taking it to 369 00:23:57,240 --> 00:23:59,760 Speaker 4: a shelter, and they're going to bring it to a 370 00:24:00,800 --> 00:24:02,600 Speaker 4: and the poor dog is going to be freaking out, 371 00:24:02,600 --> 00:24:04,280 Speaker 4: and they're going to take that live dog and they're 372 00:24:04,280 --> 00:24:06,399 Speaker 4: gonna throw it in a cage with lions, and the 373 00:24:06,800 --> 00:24:08,000 Speaker 4: dog is going to be murdered. 374 00:24:08,680 --> 00:24:09,800 Speaker 1: Right, well, so this is okay. 375 00:24:09,920 --> 00:24:10,600 Speaker 3: I didn't say it was. 376 00:24:12,200 --> 00:24:15,600 Speaker 4: Then launching, because honestly, I would think, okay, now this 377 00:24:15,760 --> 00:24:20,080 Speaker 4: is very personal, so you don't need to email me. Okay, 378 00:24:20,160 --> 00:24:23,160 Speaker 4: But when my dogs are very ill and they need 379 00:24:23,200 --> 00:24:26,600 Speaker 4: to be euthanized, I hate that word put down. I 380 00:24:26,640 --> 00:24:30,919 Speaker 4: want to bring no euthanized put down. I want to 381 00:24:30,960 --> 00:24:33,359 Speaker 4: do it in a humane way. I want somebody to 382 00:24:33,400 --> 00:24:35,760 Speaker 4: come to my house. I want to be holding my dog, 383 00:24:36,240 --> 00:24:38,160 Speaker 4: and I want them to be put to sleep where 384 00:24:38,160 --> 00:24:40,399 Speaker 4: they're peaceful and they're at home. I haven't done that 385 00:24:40,440 --> 00:24:42,040 Speaker 4: with my other dogs went to a vet. I was 386 00:24:42,080 --> 00:24:44,440 Speaker 4: still holding them. I was with them the whole time. 387 00:24:44,920 --> 00:24:47,400 Speaker 4: But I know that this is a thing and and 388 00:24:47,440 --> 00:24:49,240 Speaker 4: there's so many people that that do that. 389 00:24:49,280 --> 00:24:51,480 Speaker 3: So that's what I would do. I wouldn't be taking 390 00:24:51,520 --> 00:24:53,680 Speaker 3: my dog, my elderly. 391 00:24:53,359 --> 00:24:57,880 Speaker 2: Dog to a zoo and go to the baboos like. 392 00:24:57,920 --> 00:25:01,359 Speaker 4: Zoos anyway I think. I I want all animals to 393 00:25:01,400 --> 00:25:02,000 Speaker 4: be in the. 394 00:25:01,880 --> 00:25:05,000 Speaker 1: Wild and free. Not all animals, but in the wild, 395 00:25:05,040 --> 00:25:06,200 Speaker 1: everybody's eating each other. 396 00:25:06,119 --> 00:25:08,560 Speaker 4: All night, you know what, that's the circle of life. 397 00:25:08,640 --> 00:25:12,040 Speaker 4: I can't control that. So when humans get involved. 398 00:25:11,800 --> 00:25:14,480 Speaker 1: Enhancing the circle. We're speeding up the circle of life. 399 00:25:14,520 --> 00:25:15,800 Speaker 1: It's Scottish rosters. 400 00:25:15,880 --> 00:25:19,560 Speaker 3: Hamsters are are are domesticated pets. I mean, come on 401 00:25:20,280 --> 00:25:21,080 Speaker 3: to a horse. 402 00:25:22,320 --> 00:25:23,200 Speaker 1: The horse. 403 00:25:24,520 --> 00:25:29,359 Speaker 2: Must be a maximum of one hundred and forty seven centimeters. 404 00:25:29,400 --> 00:25:31,199 Speaker 2: I don't know what that translates to an inches, but 405 00:25:31,280 --> 00:25:33,959 Speaker 2: that's the maximum size. The horse must be in a 406 00:25:34,040 --> 00:25:37,600 Speaker 2: good condition for transport, not sick in the last thirty years. 407 00:25:37,680 --> 00:25:39,920 Speaker 3: Okay, so why would somebody want to do that? Why 408 00:25:39,920 --> 00:25:41,040 Speaker 3: are you going to euthanize them? 409 00:25:41,040 --> 00:25:43,919 Speaker 4: That's the other thing. They want healthy animals. Why are 410 00:25:43,960 --> 00:25:45,800 Speaker 4: you going to take healthy animals? This is not even 411 00:25:45,920 --> 00:25:48,800 Speaker 4: animals that are just dying. They want healthy m Yeah, 412 00:25:48,840 --> 00:25:52,160 Speaker 4: they want healthy eshes' I stand by what I'm saying. 413 00:25:52,240 --> 00:25:54,880 Speaker 3: They want healthy. So you have a perfectly healthy dog. 414 00:25:55,240 --> 00:25:57,840 Speaker 3: I don't want the dog anymore. Here, take it, kill it. 415 00:25:58,080 --> 00:26:00,520 Speaker 2: The horse must have a horse passport, which I didn't 416 00:26:00,520 --> 00:26:04,600 Speaker 2: know was a thing. Does that have a little mugshot 417 00:26:04,640 --> 00:26:05,440 Speaker 2: photo of the horse? 418 00:26:05,520 --> 00:26:08,040 Speaker 1: And do you like? 419 00:26:08,200 --> 00:26:10,680 Speaker 3: Is it cute enough for your zoo animals? 420 00:26:11,000 --> 00:26:14,440 Speaker 2: The horse will be delivered alive to Alburg Zoo and 421 00:26:14,520 --> 00:26:15,760 Speaker 2: there it gets euthanized. 422 00:26:15,880 --> 00:26:16,440 Speaker 3: So who knows? 423 00:26:16,520 --> 00:26:19,000 Speaker 4: Okay, and that's the other thing. Who knows how it's 424 00:26:19,040 --> 00:26:21,760 Speaker 4: going to be euthanized. It's definitely not gonna be somebody's 425 00:26:21,800 --> 00:26:22,080 Speaker 4: gonna be. 426 00:26:22,080 --> 00:26:25,280 Speaker 2: Hugging the horse, that's right, and singing a lullaby in 427 00:26:25,320 --> 00:26:28,760 Speaker 2: their ear. Yes, and then it gets slaughtered. 428 00:26:28,840 --> 00:26:32,240 Speaker 3: Yeah. No, so no, this is a terrible idea. 429 00:26:33,440 --> 00:26:36,200 Speaker 2: Alburg Zoo receives the horse as a donation and as 430 00:26:36,280 --> 00:26:39,120 Speaker 2: owner of the horse, you can obtain a tax deduction. 431 00:26:42,400 --> 00:26:43,840 Speaker 1: Oh, people will definitely do this. 432 00:26:44,000 --> 00:26:47,280 Speaker 2: If you get a tax deduction, that's probably a pretty 433 00:26:47,280 --> 00:26:52,840 Speaker 2: good sized deduction. Uh, just to provide your civil registration number. 434 00:26:54,080 --> 00:26:58,399 Speaker 2: And the value of the horse is calculated at five 435 00:26:58,960 --> 00:27:01,640 Speaker 2: whatever the Danish curR see is. It's called DKK five 436 00:27:01,680 --> 00:27:05,400 Speaker 2: per kilogram. So that's the deduction you can take. And 437 00:27:05,800 --> 00:27:10,840 Speaker 2: you know the horses are lots of kilograms. We accept chickens, 438 00:27:10,920 --> 00:27:14,680 Speaker 2: rabbits and guinea pigs weekdays between ten am and one pm. 439 00:27:14,720 --> 00:27:15,920 Speaker 1: No more than four at a time. 440 00:27:17,840 --> 00:27:20,280 Speaker 3: Well the rules. 441 00:27:20,400 --> 00:27:23,240 Speaker 2: Maybe if you your kids moving out of the house 442 00:27:23,240 --> 00:27:24,760 Speaker 2: and left behind an animal collection. 443 00:27:24,880 --> 00:27:26,040 Speaker 1: Is one of my sons dead. 444 00:27:26,560 --> 00:27:31,520 Speaker 4: It's they take a perfectly healthy speaking from experiences, you 445 00:27:31,640 --> 00:27:32,400 Speaker 4: just scoop. 446 00:27:32,160 --> 00:27:33,959 Speaker 2: Them all up, throw them in the back of the 447 00:27:34,000 --> 00:27:36,399 Speaker 2: car and Daddy has a tax deduction. 448 00:27:37,600 --> 00:27:40,000 Speaker 3: No, Daddy needs to figure something else out. 449 00:27:41,359 --> 00:27:44,840 Speaker 6: Kids comes home from college and oop, sorry, dog ran aways. 450 00:27:44,960 --> 00:27:47,359 Speaker 3: I'm curious. Does it say anything about cats and dogs 451 00:27:48,160 --> 00:27:48,800 Speaker 3: on that list? 452 00:27:50,480 --> 00:27:55,239 Speaker 2: No, I'm not in the news stories. No, but I 453 00:27:55,320 --> 00:27:55,719 Speaker 2: why not? 454 00:27:56,160 --> 00:27:56,520 Speaker 1: Why not? 455 00:27:58,000 --> 00:28:00,879 Speaker 4: The next thing the zoo is going to do is 456 00:28:00,920 --> 00:28:04,240 Speaker 4: going to be contacting the shelters and saying, hey, guys, 457 00:28:04,359 --> 00:28:07,160 Speaker 4: bring us your dogs, bring us your dogs and cats. 458 00:28:07,280 --> 00:28:08,679 Speaker 1: Well, that is a problem, isn't it. 459 00:28:09,200 --> 00:28:13,119 Speaker 4: Yeah, but there again, at least when they're there, there 460 00:28:13,200 --> 00:28:15,879 Speaker 4: is a possibility of them being adopted. 461 00:28:16,119 --> 00:28:20,439 Speaker 2: I just looked up their Facebook post because they just 462 00:28:20,480 --> 00:28:24,200 Speaker 2: posted this week, and the Facebook post from the Allborg 463 00:28:24,280 --> 00:28:27,879 Speaker 2: Zoo that advertised the donation program. 464 00:28:28,320 --> 00:28:30,680 Speaker 1: Accompanying the post is. 465 00:28:30,640 --> 00:28:35,159 Speaker 2: A photo of a large tiger with its mouth wide 466 00:28:35,160 --> 00:28:37,680 Speaker 2: open as far as it can go, and you could 467 00:28:37,760 --> 00:28:41,760 Speaker 2: see all their teeth, all their sharp front teeth. 468 00:28:42,160 --> 00:28:47,719 Speaker 1: And wow, it's. 469 00:28:49,080 --> 00:28:51,080 Speaker 2: It says, chicken, rabbits and guinea pigs make up an 470 00:28:51,080 --> 00:28:54,400 Speaker 2: important part of the diet of our predators. They need 471 00:28:54,440 --> 00:28:58,000 Speaker 2: whole prey reminiscent of what would nact they would naturally 472 00:28:58,080 --> 00:29:01,560 Speaker 2: hunt in the wild. End zoos have responsibility to imitate 473 00:29:01,600 --> 00:29:05,120 Speaker 2: the natural food chain of the animals. So if you're 474 00:29:05,240 --> 00:29:07,200 Speaker 2: if you have an animal that has to leave here 475 00:29:07,560 --> 00:29:14,080 Speaker 2: for various reasons they have to leave, feel free to 476 00:29:14,120 --> 00:29:15,920 Speaker 2: donate to us. 477 00:29:16,800 --> 00:29:17,040 Speaker 1: Uh. 478 00:29:17,080 --> 00:29:21,560 Speaker 2: They'll be Uh, they'll be gently euthanized and used as fodder, gented. 479 00:29:21,680 --> 00:29:24,680 Speaker 1: Nothing goes to waste. 480 00:29:25,000 --> 00:29:25,120 Speaker 5: Uh. 481 00:29:25,800 --> 00:29:27,760 Speaker 3: Oh, I'm sure we faintly euthanized. 482 00:29:27,840 --> 00:29:30,880 Speaker 2: We ensure natural behavior, nutrition, and the well being of 483 00:29:30,880 --> 00:29:31,600 Speaker 2: our predators. 484 00:29:32,160 --> 00:29:33,920 Speaker 1: You see, it's nutrition. 485 00:29:34,840 --> 00:29:35,520 Speaker 3: I don't like it. 486 00:29:37,760 --> 00:29:37,960 Speaker 6: More. 487 00:29:38,000 --> 00:29:42,520 Speaker 5: Coming up, you're listening to John Cobbels on demand from 488 00:29:42,600 --> 00:29:44,200 Speaker 5: KFI AM sixty. 489 00:29:45,080 --> 00:29:47,440 Speaker 2: Coming up after two o'clock. You may we talked a 490 00:29:47,480 --> 00:29:52,360 Speaker 2: little last week. But this story is developing in in Texas. 491 00:29:53,480 --> 00:29:56,520 Speaker 2: The governor, the Republican governor, Greg Abbott, is trying to engineer. 492 00:29:57,280 --> 00:30:02,280 Speaker 2: They want to redraw the congressional district lines and to 493 00:30:02,400 --> 00:30:07,680 Speaker 2: ensure more Republican congress people are elected in Texas, and 494 00:30:07,720 --> 00:30:12,240 Speaker 2: so in response, California and some other Democratic run states 495 00:30:12,280 --> 00:30:15,200 Speaker 2: want to do the same thing. They want to drive 496 00:30:15,320 --> 00:30:19,680 Speaker 2: out Republican congressman in this state. But Abbot is starting it, 497 00:30:20,920 --> 00:30:23,880 Speaker 2: and they had a proposal they had to vote on. 498 00:30:25,560 --> 00:30:31,360 Speaker 2: But in Texas, it's overwhelmingly Republican, and so all the 499 00:30:31,400 --> 00:30:34,440 Speaker 2: Democrats got on a plane and went to Chicago. Seriously, 500 00:30:34,560 --> 00:30:39,360 Speaker 2: all the Democratic people in the legislature left to keep 501 00:30:40,120 --> 00:30:44,400 Speaker 2: the Republican legislator for legislative leaders from having a quorum. 502 00:30:45,040 --> 00:30:46,720 Speaker 2: I think they need at least one hundred out of 503 00:30:46,720 --> 00:30:51,040 Speaker 2: one hundred and fifty to show up. And so now 504 00:30:51,240 --> 00:30:56,160 Speaker 2: Governor Abbott is threatening to arrest all the Democrats who 505 00:30:56,200 --> 00:31:00,160 Speaker 2: fled to Chicago and remove them from office. Apparently he's 506 00:31:00,200 --> 00:31:03,480 Speaker 2: got the power to do that. We are going to 507 00:31:03,560 --> 00:31:07,840 Speaker 2: talk with Ben Siegel, who's the deputy political director for 508 00:31:07,880 --> 00:31:12,280 Speaker 2: ABC News, and he's going to explain this story. I'm 509 00:31:12,640 --> 00:31:20,080 Speaker 2: starting to pay close attention to the AI doom stories. 510 00:31:21,000 --> 00:31:24,720 Speaker 2: You know, we've heard for years that AI is going 511 00:31:24,800 --> 00:31:27,800 Speaker 2: to destroy a lot of the jobs, especially white collar jobs, 512 00:31:27,800 --> 00:31:34,080 Speaker 2: in this country. And there's a story in the New 513 00:31:34,160 --> 00:31:39,880 Speaker 2: York Post. They interviewed a former Google executive. The guy's 514 00:31:39,920 --> 00:31:47,400 Speaker 2: name is Moe Goddat, and he says that artificial intelligence 515 00:31:48,240 --> 00:31:53,280 Speaker 2: will plunge society into a decade of severe disruption, disruption 516 00:31:53,400 --> 00:31:56,600 Speaker 2: and hardship. Many white collar jobs are going to be 517 00:31:56,600 --> 00:32:00,320 Speaker 2: eliminated and the hell will begin as early as twenty 518 00:32:00,320 --> 00:32:06,640 Speaker 2: twenty seven. Moe Goadact. He was the chief business officer 519 00:32:08,440 --> 00:32:11,360 Speaker 2: for Google X in twenty eighteen, and now he's become 520 00:32:11,400 --> 00:32:14,960 Speaker 2: an author and a public speaker, and he has painted 521 00:32:15,000 --> 00:32:20,920 Speaker 2: a grim picture of widespread job losses, economic inequality, social chaos. 522 00:32:21,560 --> 00:32:25,160 Speaker 2: On a podcast, he said, the next fifteen years will 523 00:32:25,160 --> 00:32:30,720 Speaker 2: be hell before we get to heaven. They gave an example. 524 00:32:30,760 --> 00:32:35,520 Speaker 2: He's got his own startup company. It's called Emma Love. 525 00:32:36,320 --> 00:32:40,760 Speaker 2: Where do you think this company? Is Emma Love artificial intelligence. 526 00:32:42,000 --> 00:32:42,360 Speaker 3: Porn. 527 00:32:43,240 --> 00:32:48,640 Speaker 2: It's a fake girlfriend, probably very good, which could turn 528 00:32:48,640 --> 00:32:57,280 Speaker 2: into porn. It builds emotional relationships with people. So you 529 00:32:57,560 --> 00:32:59,880 Speaker 2: go to Emma Love and I guess you meet Emma 530 00:32:59,880 --> 00:33:03,360 Speaker 2: and you fall in love with her, and Emma's in 531 00:33:03,400 --> 00:33:07,080 Speaker 2: love with you, and you know, when you're done with her, 532 00:33:07,160 --> 00:33:07,520 Speaker 2: you just. 533 00:33:08,400 --> 00:33:11,640 Speaker 3: Throw her to a zoo animal beat her to the zoo. 534 00:33:11,840 --> 00:33:13,040 Speaker 1: You just x at the screen. 535 00:33:13,080 --> 00:33:15,760 Speaker 2: And now Emma's quiet, and you could go watch the 536 00:33:15,760 --> 00:33:19,320 Speaker 2: ball game and have a beer, you know, before you 537 00:33:19,360 --> 00:33:21,880 Speaker 2: go to bed. If you need some dirty talk, you 538 00:33:21,960 --> 00:33:26,600 Speaker 2: can call Emma back up. That really is what's going 539 00:33:26,640 --> 00:33:29,160 Speaker 2: to be going on. Oh, I know, you know, at 540 00:33:29,240 --> 00:33:32,760 Speaker 2: least that's what the guys we're using for Emma Love 541 00:33:33,240 --> 00:33:37,360 Speaker 2: is a three person company because they use artificial intelligence. 542 00:33:37,960 --> 00:33:41,320 Speaker 2: Mo Goddad said that this startup would have been three 543 00:33:41,440 --> 00:33:45,440 Speaker 2: hundred and fifty developers in the past. It's that three 544 00:33:45,480 --> 00:33:48,040 Speaker 2: hundred and fifty employees. He can run it with three. 545 00:33:49,040 --> 00:33:53,360 Speaker 2: So extrapolate that to the world and the end of 546 00:33:53,400 --> 00:33:56,040 Speaker 2: white collar work, he says, will begin by the late 547 00:33:56,120 --> 00:34:00,480 Speaker 2: twenty twenties, a fundamental shift in how society op rates. 548 00:34:01,200 --> 00:34:02,000 Speaker 1: See all the other. 549 00:34:01,920 --> 00:34:07,720 Speaker 2: Technical revolutions affected manual labor, like in the factories. This 550 00:34:08,280 --> 00:34:11,440 Speaker 2: is going to go after the educated professionals and middle 551 00:34:11,440 --> 00:34:19,080 Speaker 2: class workers, and it will channel enormous wealth and influence 552 00:34:19,160 --> 00:34:25,520 Speaker 2: to the people who own these systems. It will trigger AI, 553 00:34:25,640 --> 00:34:28,360 Speaker 2: he says, will trigger significant social unrest. 554 00:34:29,760 --> 00:34:30,360 Speaker 1: This is great. 555 00:34:30,880 --> 00:34:34,319 Speaker 2: People will have to struggle with their losing their livelihoods, 556 00:34:34,320 --> 00:34:37,680 Speaker 2: their sense of purpose. Unless you're in the top one 557 00:34:37,719 --> 00:34:40,680 Speaker 2: ten to one percent, you're a peasant. 558 00:34:40,960 --> 00:34:43,120 Speaker 1: There's no middle class. 559 00:34:44,960 --> 00:34:48,000 Speaker 2: But by twenty forty Hell will be replaced by a 560 00:34:48,120 --> 00:34:51,800 Speaker 2: utopian era. Workers will be free from doing repetitive and 561 00:34:51,880 --> 00:34:53,280 Speaker 2: mundane tasks. 562 00:34:54,120 --> 00:34:55,839 Speaker 3: But what are they going to do well? 563 00:34:55,880 --> 00:34:56,239 Speaker 1: He says. 564 00:34:56,320 --> 00:34:59,840 Speaker 2: Humanity will be guided by love community and spiritual development. 565 00:35:00,080 --> 00:35:01,560 Speaker 2: You know, I had an argument with a couple of 566 00:35:01,560 --> 00:35:03,919 Speaker 2: friends of mine going back, oh, I don't know, maybe 567 00:35:04,040 --> 00:35:07,440 Speaker 2: eighteen years ago when they were and they were they 568 00:35:07,560 --> 00:35:10,080 Speaker 2: talked like this guy, or at least they believed the 569 00:35:10,120 --> 00:35:12,760 Speaker 2: same kind of trajectory that this guy is talking about. 570 00:35:13,280 --> 00:35:15,360 Speaker 2: And they said, well, the jobs are going to disappear. 571 00:35:15,960 --> 00:35:19,040 Speaker 2: And I said, well, well then what's going to happen. Well, 572 00:35:19,080 --> 00:35:21,279 Speaker 2: there's going to be so much wealth that you'll be 573 00:35:21,280 --> 00:35:23,360 Speaker 2: able to pay everybody. 574 00:35:23,360 --> 00:35:25,120 Speaker 1: A like a universal income. 575 00:35:25,280 --> 00:35:27,960 Speaker 2: You've heard about universal basic income, So this would be 576 00:35:27,960 --> 00:35:30,439 Speaker 2: the idea, and people could stay at home and they'll 577 00:35:30,520 --> 00:35:33,040 Speaker 2: just get their government check. Let's say everybody gets you know, 578 00:35:33,160 --> 00:35:35,640 Speaker 2: one hundred thousand dollars, just make up a number and 579 00:35:35,640 --> 00:35:36,480 Speaker 2: then they'll be happy. 580 00:35:37,360 --> 00:35:38,880 Speaker 1: And I go, but they're not going to be happy. 581 00:35:38,880 --> 00:35:41,000 Speaker 1: What are they going to do all day? People work 582 00:35:41,040 --> 00:35:41,760 Speaker 1: to have a purpose. 583 00:35:41,800 --> 00:35:45,080 Speaker 2: It's yeah, you have to make money, but the money 584 00:35:45,120 --> 00:35:48,640 Speaker 2: alone doesn't cover it. You have to have a central 585 00:35:48,719 --> 00:35:54,120 Speaker 2: point to your life. And even all these retired Google executives, 586 00:35:54,120 --> 00:35:56,959 Speaker 2: like like this character he went opened up a new company. 587 00:35:56,560 --> 00:35:59,000 Speaker 1: They're bored. Well, yeah, you can get bored. 588 00:36:01,120 --> 00:36:06,040 Speaker 2: I'm thinking, now, what are you gonna do with all 589 00:36:06,160 --> 00:36:10,319 Speaker 2: the middle class and blue collar manual labor people When 590 00:36:10,360 --> 00:36:15,600 Speaker 2: all these people are home and frustrated and they don't, 591 00:36:16,040 --> 00:36:19,560 Speaker 2: They're gonna drink, They're gonna get stoned, they're gonna start 592 00:36:19,840 --> 00:36:21,000 Speaker 2: fighting with their spouses. 593 00:36:22,719 --> 00:36:25,680 Speaker 4: The government gonna do we have a mass firing squad 594 00:36:25,719 --> 00:36:26,840 Speaker 4: and kill all those people. 595 00:36:28,840 --> 00:36:30,000 Speaker 3: I'm going to the dark side. 596 00:36:30,080 --> 00:36:37,000 Speaker 1: Job, that's pretty good. You outrun me. Now you run 597 00:36:37,040 --> 00:36:38,920 Speaker 1: to the edge before I can get there. I like that. 598 00:36:41,160 --> 00:36:44,759 Speaker 2: I don't know, but this guy is saying twenty twenty seven, 599 00:36:44,880 --> 00:36:45,799 Speaker 2: we're gonna start seeing it. 600 00:36:45,920 --> 00:36:48,800 Speaker 3: Twenty twenty seven, our. 601 00:36:48,680 --> 00:36:52,040 Speaker 2: Last hurrah as a species could be, could be how 602 00:36:52,080 --> 00:36:57,200 Speaker 2: we adapt, reimagine, and humanize this new world. In other words, 603 00:36:57,200 --> 00:36:59,120 Speaker 2: we got to figure out how to be happy without 604 00:36:59,640 --> 00:37:00,600 Speaker 2: many jobs. 605 00:37:00,960 --> 00:37:05,560 Speaker 3: Well that does, it's just not going to it's no realistic. 606 00:37:05,640 --> 00:37:07,759 Speaker 2: We're designed to work because we had to work coming 607 00:37:07,760 --> 00:37:10,960 Speaker 2: out of the caves to keep ourselves and our families alive. 608 00:37:11,760 --> 00:37:15,560 Speaker 2: That that that's how our brain's evolved to need a 609 00:37:15,560 --> 00:37:16,560 Speaker 2: purpose and a task. 610 00:37:16,600 --> 00:37:19,000 Speaker 3: So that's going to be the end of the human race. 611 00:37:19,960 --> 00:37:22,719 Speaker 4: Yeah, because people are just I mean, you can't it 612 00:37:22,880 --> 00:37:23,759 Speaker 4: just it won't work. 613 00:37:24,000 --> 00:37:24,480 Speaker 1: Look at all. 614 00:37:24,560 --> 00:37:27,239 Speaker 2: All the mental health problems during COVID, Right, what did 615 00:37:27,239 --> 00:37:31,120 Speaker 2: people do? They drank too much in nuts Stone. So 616 00:37:31,320 --> 00:37:35,799 Speaker 2: he's expecting rising rates of mental health problems, more loneliness, 617 00:37:35,960 --> 00:37:37,239 Speaker 2: more social divisions. 618 00:37:37,400 --> 00:37:39,040 Speaker 1: Remember how crazy everybody got. 619 00:37:39,320 --> 00:37:40,840 Speaker 2: That's why we ended up with all the riots and 620 00:37:40,880 --> 00:37:44,520 Speaker 2: the protests and the violence and all the all the 621 00:37:44,600 --> 00:37:46,960 Speaker 2: kids at school lost their minds because they weren't in school. 622 00:37:47,120 --> 00:37:47,839 Speaker 1: This is not good. 623 00:37:48,920 --> 00:37:50,279 Speaker 3: How can we hang on to uh? 624 00:37:50,560 --> 00:37:53,480 Speaker 4: How can we make sure that we're No one's going 625 00:37:53,560 --> 00:37:55,520 Speaker 4: to be us, John, We're not going to be part 626 00:37:55,560 --> 00:37:56,520 Speaker 4: of this AI world. 627 00:37:56,560 --> 00:38:00,920 Speaker 2: He predicts the end of podcasters will be gone. So 628 00:38:00,960 --> 00:38:03,520 Speaker 2: if the podcasters are gone, then it will be gone too. 629 00:38:03,719 --> 00:38:05,680 Speaker 3: Oh jeez, what am I gonna do? 630 00:38:06,600 --> 00:38:06,799 Speaker 6: There? 631 00:38:06,840 --> 00:38:11,960 Speaker 2: You go, Well, you have to find I don't know, 632 00:38:12,360 --> 00:38:13,400 Speaker 2: I don't know what I'm gonna do. 633 00:38:15,360 --> 00:38:17,520 Speaker 3: No, this can't be. 634 00:38:20,080 --> 00:38:23,480 Speaker 2: Welcome to hell a Debora Mark live in the CAFI 635 00:38:23,520 --> 00:38:26,120 Speaker 2: twenty four hour News. Hey, you've been listening to the 636 00:38:26,200 --> 00:38:28,879 Speaker 2: John Cobalt Show podcast. You can always hear the show 637 00:38:28,920 --> 00:38:31,680 Speaker 2: live on KFI AM six forty from one to four 638 00:38:31,719 --> 00:38:34,560 Speaker 2: pm every Monday through Friday, and of course anytime on 639 00:38:34,680 --> 00:38:36,600 Speaker 2: demand on the iHeartRadio app,