1 00:00:00,320 --> 00:00:03,000 Speaker 1: We got everything in place, we got the moistline, we 2 00:00:03,080 --> 00:00:05,160 Speaker 1: got a hack for the dumpster. The hack for a 3 00:00:05,200 --> 00:00:08,200 Speaker 1: dumpster is just because that's it. That's the hint, just 4 00:00:08,240 --> 00:00:11,360 Speaker 1: because we have to. We'll find out what that is 5 00:00:11,360 --> 00:00:14,160 Speaker 1: coming up later on the show next hour. A couple 6 00:00:14,160 --> 00:00:17,640 Speaker 1: of reports have come out about how horrific no bail 7 00:00:17,800 --> 00:00:21,159 Speaker 1: policies are when it comes to the criminals. I was 8 00:00:21,200 --> 00:00:24,000 Speaker 1: repeating the crimes. I was shocked by this. I just 9 00:00:24,079 --> 00:00:27,520 Speaker 1: can't believe that if you let everybody out with no bail, 10 00:00:28,280 --> 00:00:32,440 Speaker 1: these guys commit crimes. I who would have expected that? 11 00:00:35,360 --> 00:00:43,080 Speaker 1: Tells nons It's like you turned over the justice system 12 00:00:43,120 --> 00:00:46,480 Speaker 1: to a bunch of seven year olds. The year olds 13 00:00:46,479 --> 00:00:49,720 Speaker 1: would come up with this policy. We look at one 14 00:00:49,720 --> 00:00:52,159 Speaker 1: of the other big problems that we talk about a 15 00:00:52,240 --> 00:00:55,680 Speaker 1: bit on the show, the homeless, and apparently they have 16 00:00:55,760 --> 00:00:58,280 Speaker 1: put out for the first time in a while, a 17 00:00:58,480 --> 00:01:03,040 Speaker 1: huge report on homelessness spending in the state of California. 18 00:01:03,120 --> 00:01:05,800 Speaker 1: We refer to it as the homeless industrial complex. We 19 00:01:05,880 --> 00:01:09,800 Speaker 1: have something called the Interagency Council on Homelessness. Of course, 20 00:01:09,840 --> 00:01:12,240 Speaker 1: that's what Newsom's good at. The whole state's good at. 21 00:01:12,319 --> 00:01:14,920 Speaker 1: Let's just set source to study a commission a blue 22 00:01:15,000 --> 00:01:19,160 Speaker 1: ribbon panel around table, a state body task with overseeing 23 00:01:19,160 --> 00:01:23,960 Speaker 1: the state's homelessness strategy and divving up funding to local governments. 24 00:01:25,160 --> 00:01:28,760 Speaker 1: The state has spent nearly ten billion dollars in a 25 00:01:28,959 --> 00:01:33,360 Speaker 1: three year period of this study. They provided services to 26 00:01:33,400 --> 00:01:35,840 Speaker 1: more than five hundred and seventy thousand people. And I 27 00:01:35,840 --> 00:01:37,720 Speaker 1: looked up the last homeless count for California. It was 28 00:01:37,760 --> 00:01:40,520 Speaker 1: one hundred and seventy two thousand, So if you multiply 29 00:01:40,600 --> 00:01:44,880 Speaker 1: that by three, you don't even get that number. Well, 30 00:01:46,319 --> 00:01:50,000 Speaker 1: because the more they help people out and get them housed, 31 00:01:50,320 --> 00:01:54,760 Speaker 1: the more people come to California because they know you 32 00:01:55,120 --> 00:01:58,480 Speaker 1: get Eventually you get free shelter, and you get free food, 33 00:01:58,640 --> 00:02:03,520 Speaker 1: and you get access to drugs, and you could you 34 00:02:03,560 --> 00:02:06,760 Speaker 1: could live outdoors until you decide to go indoors. Then 35 00:02:06,800 --> 00:02:09,560 Speaker 1: they'll give you something. I'll give me a room, give 36 00:02:09,560 --> 00:02:12,919 Speaker 1: you an apartment. So this is what I'm saying. You 37 00:02:13,040 --> 00:02:15,839 Speaker 1: spend ten billion dollars. I mean, that's almost as much 38 00:02:15,840 --> 00:02:20,359 Speaker 1: as we've spent on high speed rail. Yeah, and you're right, 39 00:02:20,480 --> 00:02:24,400 Speaker 1: that's ten billion dollars bond and providing services to five 40 00:02:24,520 --> 00:02:28,239 Speaker 1: hundred and seventy one thousand. Does that mean services? Does 41 00:02:28,280 --> 00:02:31,160 Speaker 1: that mean we gave them meals? Does that mean we 42 00:02:31,280 --> 00:02:35,720 Speaker 1: bought them tents? Did we have a counseling session? I 43 00:02:35,760 --> 00:02:40,000 Speaker 1: mean that that's such a that's such a garbage statistic. There. Well, 44 00:02:40,040 --> 00:02:42,520 Speaker 1: it says of the half million who did make use 45 00:02:42,520 --> 00:02:48,160 Speaker 1: of services, more than forty ended up housed for how long? Yeah, well, 46 00:02:48,200 --> 00:02:50,919 Speaker 1: there's a chart down below, but I couldn't quite make 47 00:02:50,960 --> 00:02:55,040 Speaker 1: heads or tails of it, which shows that. Here it 48 00:02:55,160 --> 00:02:58,200 Speaker 1: is of the five hundred and seventy one two hundred 49 00:02:58,200 --> 00:03:01,359 Speaker 1: forty six Californians who got State fun Homelesness services between 50 00:03:01,360 --> 00:03:03,919 Speaker 1: twenty eighteen and twenty twenty one. These are the final 51 00:03:03,960 --> 00:03:09,000 Speaker 1: observed outcomes. One box is permanently housed, one box is unknown, 52 00:03:09,040 --> 00:03:14,440 Speaker 1: and others returned to homelessness. That's different than unknown. Oh, 53 00:03:14,480 --> 00:03:19,519 Speaker 1: I see seventeen percent returned to homelessness, they claim seventy suspiciously. 54 00:03:19,520 --> 00:03:23,520 Speaker 1: Seventeen percent got permanent housing subsidize, another twenty three percent 55 00:03:23,560 --> 00:03:28,040 Speaker 1: got permanent housing unsubsidized, and unknown was twenty five percent. 56 00:03:28,200 --> 00:03:30,799 Speaker 1: They don't know what happens. Twenty five percent of the people, well, 57 00:03:30,800 --> 00:03:32,919 Speaker 1: they're probably back out on the streets. Somebody's out on 58 00:03:32,960 --> 00:03:35,440 Speaker 1: the streets. So if you add together unknown and returned 59 00:03:35,480 --> 00:03:38,080 Speaker 1: to homelessness, you have one of forty percent. Do you 60 00:03:38,120 --> 00:03:41,560 Speaker 1: believe Do you believe those statistics? I don't. Are they 61 00:03:41,560 --> 00:03:43,960 Speaker 1: counting the same people over and over again too, That's 62 00:03:44,000 --> 00:03:48,080 Speaker 1: also very possible. Somebody get they get shelter, then they 63 00:03:48,160 --> 00:03:50,840 Speaker 1: run off, they go on another meth and fentanyl bender, 64 00:03:51,240 --> 00:03:53,560 Speaker 1: then they're scraped off the street, they get they get 65 00:03:53,560 --> 00:03:55,680 Speaker 1: shelter again, and it happens a third time and a 66 00:03:55,720 --> 00:03:59,120 Speaker 1: fourth time, and they're counted as four different people getting services. 67 00:04:00,040 --> 00:04:02,760 Speaker 1: I don't trust any homeless numbers. I use my eyes, 68 00:04:04,000 --> 00:04:08,840 Speaker 1: and even their counts clearly show that way more people 69 00:04:08,840 --> 00:04:14,280 Speaker 1: are homeless than were than we're five years ago. That's undisputed. 70 00:04:14,560 --> 00:04:16,360 Speaker 1: So what they're trying to tell us what this report 71 00:04:16,480 --> 00:04:19,400 Speaker 1: is off more people are falling into housing homelessness fast 72 00:04:19,400 --> 00:04:22,719 Speaker 1: as than we can house them. They're not falling into homelessness. 73 00:04:22,920 --> 00:04:27,599 Speaker 1: We can't. They're traveling here without a home. They didn't 74 00:04:27,680 --> 00:04:30,800 Speaker 1: fall into homelessness. See though all the language they use 75 00:04:30,880 --> 00:04:35,080 Speaker 1: has now seeped into everyday conversation, these people didn't fall 76 00:04:35,120 --> 00:04:39,600 Speaker 1: into anything. They either didn't have their mental illness treated 77 00:04:39,920 --> 00:04:42,760 Speaker 1: or they chose to start taking drugs and drink booze. 78 00:04:43,160 --> 00:04:47,080 Speaker 1: And then many of them chose to travel here. And 79 00:04:47,279 --> 00:04:49,920 Speaker 1: once they came here, they chose to live in the streets. 80 00:04:50,279 --> 00:04:54,080 Speaker 1: They chose not to get a job. They didn't fall 81 00:04:54,120 --> 00:04:57,560 Speaker 1: into anything. We didn't do anything wrong. We're the victims 82 00:04:57,960 --> 00:05:00,640 Speaker 1: of all this said, this is the true elite immigration 83 00:05:00,720 --> 00:05:05,000 Speaker 1: problem we have in California. Well, this was ten billion 84 00:05:05,040 --> 00:05:08,680 Speaker 1: dollars over three years. They cited a report from something 85 00:05:08,720 --> 00:05:12,520 Speaker 1: called the Corporation for Supportive Housing and the California Housing Partnership. 86 00:05:13,360 --> 00:05:16,360 Speaker 1: I think we mentioned this last year. They think that 87 00:05:16,520 --> 00:05:20,040 Speaker 1: solving homelessness will cost eight billion dollars every year for 88 00:05:20,160 --> 00:05:21,760 Speaker 1: more than a decade. We're not going to do that, 89 00:05:22,279 --> 00:05:25,240 Speaker 1: and it wouldn't anyway, because you would just get more 90 00:05:25,240 --> 00:05:28,480 Speaker 1: people coming in than would be eighty billion dollars we'd 91 00:05:28,480 --> 00:05:30,640 Speaker 1: have to spend over a ten year period. Are you're right? 92 00:05:30,640 --> 00:05:32,760 Speaker 1: We get more people coming The more you give out 93 00:05:32,800 --> 00:05:37,080 Speaker 1: free stuff, the more people you get. I mean, I 94 00:05:37,080 --> 00:05:41,080 Speaker 1: mean we figured this out. You get into radio, right, 95 00:05:41,960 --> 00:05:44,400 Speaker 1: you do show outdoors somewhere. As soon as you announce, 96 00:05:44,440 --> 00:05:46,640 Speaker 1: hey we got free T shirts together away, what happens 97 00:05:47,000 --> 00:05:49,680 Speaker 1: crowd show up for the free T shirts. Hey we 98 00:05:49,760 --> 00:05:53,000 Speaker 1: got free food, crowd, Hey we got free Frisbees. Like 99 00:05:53,040 --> 00:05:58,720 Speaker 1: everybody's coming. Free stuff means big crowd. So we're giving 100 00:05:58,760 --> 00:06:01,040 Speaker 1: out tons of free stuff, more than any other state 101 00:06:01,040 --> 00:06:04,520 Speaker 1: in the Union. Of course, they're coming here, and that's 102 00:06:04,560 --> 00:06:05,960 Speaker 1: the beginning an end of this. And I don't believe 103 00:06:05,960 --> 00:06:08,040 Speaker 1: they're stupid numbers. I don't think if they if they 104 00:06:08,040 --> 00:06:10,480 Speaker 1: spent eight billion a year, can you imagine how many 105 00:06:10,480 --> 00:06:14,080 Speaker 1: people would be coming here. Yeah, that's a tremendous amount 106 00:06:14,120 --> 00:06:19,000 Speaker 1: of money that it would be all wasted. It would 107 00:06:19,000 --> 00:06:22,599 Speaker 1: go into the complex. There'd be more fake nonprofits making 108 00:06:22,640 --> 00:06:27,360 Speaker 1: six figures, There'd be more bureaucrats making six figures. I mean, 109 00:06:27,520 --> 00:06:32,480 Speaker 1: this is an absolute racket. And where where's the thing 110 00:06:32,480 --> 00:06:36,200 Speaker 1: I was looking for? How many different how many different 111 00:06:36,240 --> 00:06:40,960 Speaker 1: agencies are involved in this? Oh? Yes, yes, in the story. Yeah, 112 00:06:41,080 --> 00:06:44,240 Speaker 1: it's services for the homeless. Now, this to me is 113 00:06:44,240 --> 00:06:48,279 Speaker 1: the most important paragraph. Not they're stupid numbers. Services for 114 00:06:48,279 --> 00:06:52,360 Speaker 1: the homeless are so disjointed, split among nine state agencies, 115 00:06:53,040 --> 00:06:58,760 Speaker 1: hundreds of county and municipal governments, nonprofits, and charitable organizations. 116 00:07:00,080 --> 00:07:06,560 Speaker 1: Well look at back. Yeah, Uh, that's that's where they're 117 00:07:06,560 --> 00:07:10,640 Speaker 1: spending the money on I This didn't tell me how 118 00:07:10,720 --> 00:07:15,240 Speaker 1: much this money goes into people sitting at desks and 119 00:07:15,720 --> 00:07:22,240 Speaker 1: staring at screens in offices. They're not getting anything, and 120 00:07:22,240 --> 00:07:25,760 Speaker 1: and and and the word like the word engagements are used. 121 00:07:26,560 --> 00:07:33,520 Speaker 1: Engagements are conversations. It's not treatment, it's not counseling. It's 122 00:07:33,600 --> 00:07:38,040 Speaker 1: not a recovery program. It means people are walking up 123 00:07:38,080 --> 00:07:41,600 Speaker 1: and down the street and talking to homeless guy number one, 124 00:07:41,720 --> 00:07:46,240 Speaker 1: number two, number three. They're claiming that of the ten 125 00:07:46,240 --> 00:07:48,760 Speaker 1: billion dollars, five and a half went directly to the 126 00:07:48,800 --> 00:07:51,400 Speaker 1: cost of housing. And then the complaint is in the 127 00:07:51,440 --> 00:07:54,040 Speaker 1: report that they just can't find enough of it. Well, 128 00:07:54,040 --> 00:07:58,240 Speaker 1: of course you used hotel rooms, building shelters, Okay, so 129 00:07:58,320 --> 00:08:01,400 Speaker 1: it means we don't. There's still again the housing. First thing. 130 00:08:01,960 --> 00:08:03,880 Speaker 1: You got to get the bums to be responsible for 131 00:08:03,920 --> 00:08:06,680 Speaker 1: their lives. You can't be trying to do everything for everybody. 132 00:08:06,720 --> 00:08:09,400 Speaker 1: There's no endless supply of empty rooms and empty homes. 133 00:08:10,800 --> 00:08:16,000 Speaker 1: That's ridiculous. There's not enough room for the people who work, 134 00:08:17,360 --> 00:08:24,360 Speaker 1: which is why rents and and mortgages are so high. 135 00:08:24,680 --> 00:08:29,360 Speaker 1: Regular people can't afford housing. If they're gonna be building anything. 136 00:08:29,480 --> 00:08:31,520 Speaker 1: They ought to be building more housing so that the 137 00:08:31,560 --> 00:08:34,960 Speaker 1: middle class could live again. All right, upon our return, 138 00:08:35,040 --> 00:08:37,360 Speaker 1: you have a chance of a thousand dollars. One of 139 00:08:37,400 --> 00:08:39,959 Speaker 1: the final keywords will be coming out Johnny ken KF 140 00:08:40,000 --> 00:08:43,640 Speaker 1: I am six forty live everywhere the iHeartRadio apps. Nobody 141 00:08:43,679 --> 00:08:47,960 Speaker 1: bothered to update the copy. What do you see? Nobody? 142 00:08:47,960 --> 00:08:49,880 Speaker 1: People just come to work and do the same old, 143 00:08:49,920 --> 00:08:52,880 Speaker 1: same old. They don't Oh is he you? Yeah, it's 144 00:08:52,920 --> 00:09:00,720 Speaker 1: me busted. At least you're honest. All right, Well, we 145 00:09:00,840 --> 00:09:05,560 Speaker 1: got day back and forth between Governor Dippity du Gavin 146 00:09:05,679 --> 00:09:11,480 Speaker 1: Newsom and his former wife Kimberly give Foyle. They were married, 147 00:09:11,720 --> 00:09:14,360 Speaker 1: what was it back in the two thousands, Yes, and 148 00:09:15,880 --> 00:09:19,120 Speaker 1: eventually split up and she's now with Donald Trump Junior. 149 00:09:20,760 --> 00:09:24,800 Speaker 1: That shows you how far apart those things went. I 150 00:09:24,800 --> 00:09:27,439 Speaker 1: don't know why, but for some reason Newsome was first 151 00:09:27,920 --> 00:09:32,200 Speaker 1: to speak about her, and I guess the question is welcome. 152 00:09:32,280 --> 00:09:36,240 Speaker 1: You two were so polar opposites politically. How did that happen? 153 00:09:36,280 --> 00:09:40,040 Speaker 1: You were together as a couple for a while. There's 154 00:09:40,080 --> 00:09:44,480 Speaker 1: a plenty of couples they have opposite political viewpoints. There are, 155 00:09:44,840 --> 00:09:47,880 Speaker 1: but they don't become as involved in politics as these two. 156 00:09:48,040 --> 00:09:50,800 Speaker 1: So politics isn't that important to many couples, but they 157 00:09:50,880 --> 00:09:53,880 Speaker 1: might disagree, but these two are prominent. I mean she 158 00:09:54,160 --> 00:09:58,160 Speaker 1: is well, he's governor, and she's been making all sorts 159 00:09:58,160 --> 00:10:00,200 Speaker 1: of appearance. I don't think she has any officials. Was 160 00:10:00,200 --> 00:10:02,880 Speaker 1: with Fox News. Oh, she's on Fox News for years. 161 00:10:03,160 --> 00:10:08,079 Speaker 1: For years. She was the designated legs for that show. 162 00:10:08,080 --> 00:10:11,200 Speaker 1: They had the five originally. Oh, she was one of 163 00:10:11,200 --> 00:10:13,120 Speaker 1: the pairs of legs. Oh yeah, no, and they put 164 00:10:13,120 --> 00:10:15,160 Speaker 1: her on the end so that her legs would always 165 00:10:15,160 --> 00:10:17,680 Speaker 1: be seen. And I read a buck on Roger Ailes 166 00:10:17,720 --> 00:10:20,880 Speaker 1: and Fox News, and that was by design. He knew 167 00:10:20,960 --> 00:10:24,080 Speaker 1: that the males in the audience would stop on Fox 168 00:10:24,240 --> 00:10:27,120 Speaker 1: if they saw a good set of legs. Who's the 169 00:10:27,200 --> 00:10:30,240 Speaker 1: legs now, I don't know. I'd never seen it. That's 170 00:10:30,280 --> 00:10:32,679 Speaker 1: like one of their top shows now, the Five. Yeah, yeah, 171 00:10:32,720 --> 00:10:35,240 Speaker 1: it's often, it's number one. I don't know. I see 172 00:10:35,280 --> 00:10:37,840 Speaker 1: it on the middle of the afternoon. That's pretty amazing. Yeah, 173 00:10:37,840 --> 00:10:39,280 Speaker 1: I see it on in the background, and I've never 174 00:10:39,280 --> 00:10:40,959 Speaker 1: really focused on it because we were always on the air. 175 00:10:41,840 --> 00:10:44,319 Speaker 1: All Right, So we'll start with Newsom talking about his 176 00:10:44,440 --> 00:10:47,520 Speaker 1: former wife. She had her ambition I had just got 177 00:10:47,559 --> 00:10:50,600 Speaker 1: elected mayor, and days after I elected mayor, she moved 178 00:10:50,640 --> 00:10:52,520 Speaker 1: to New York for a court TV gig and then 179 00:10:52,559 --> 00:10:55,640 Speaker 1: eventually with ales at Fox, and look, I got to 180 00:10:55,679 --> 00:10:58,160 Speaker 1: know all those guys at five and Hannity, all those guys, 181 00:10:58,520 --> 00:11:01,240 Speaker 1: and I start to understand the bs, the performative nature 182 00:11:01,240 --> 00:11:03,320 Speaker 1: all these folks. What appealed to her? Do you think 183 00:11:03,400 --> 00:11:09,040 Speaker 1: ambition her own pride, and she's got a prosecutorial mindset 184 00:11:09,080 --> 00:11:12,680 Speaker 1: she always had that, she's whipped smart, and she fell preyed. 185 00:11:12,720 --> 00:11:15,480 Speaker 1: I think the culture at Fox in a deep way. 186 00:11:15,520 --> 00:11:18,719 Speaker 1: She would disagree with that assessment. She'd perhaps suggests she 187 00:11:18,800 --> 00:11:22,280 Speaker 1: found the light. Obviously, we have contrasting points, have you made? 188 00:11:22,280 --> 00:11:24,640 Speaker 1: For though? An interesting in David, this is very relevant 189 00:11:25,360 --> 00:11:28,640 Speaker 1: relationship with the Trump administration, which actually was probably the 190 00:11:28,679 --> 00:11:33,960 Speaker 1: most constructive democratic relationship with President Trump of any of 191 00:11:34,000 --> 00:11:37,800 Speaker 1: the governors, of any of the intermediary It wasn't, but 192 00:11:37,840 --> 00:11:40,600 Speaker 1: there was a subtext to it. There was a sort 193 00:11:40,640 --> 00:11:46,240 Speaker 1: of foundational relationship that definition was established and curiosity and 194 00:11:46,280 --> 00:11:49,360 Speaker 1: I'm sure for Trump as well, and that allowed the 195 00:11:49,400 --> 00:11:53,920 Speaker 1: foundation to be allayed. That advantaged this state profoundly during 196 00:11:53,920 --> 00:11:56,880 Speaker 1: the pandemic and I went to great lengths to develop 197 00:11:56,960 --> 00:12:00,319 Speaker 1: that relationship in order to develop what became one of 198 00:12:00,320 --> 00:12:03,640 Speaker 1: the more successful, I think broaches to the covid epidote. 199 00:12:03,640 --> 00:12:06,600 Speaker 1: So you guys kept in touch. Yeah, oh yeah we 200 00:12:06,640 --> 00:12:10,640 Speaker 1: was it ended friendly? It started friendly? Uh and uh 201 00:12:10,760 --> 00:12:13,800 Speaker 1: that's so I have to ask, you know, obviously she's 202 00:12:13,960 --> 00:12:16,679 Speaker 1: now dating Donald Trump Junior. But what did you say? 203 00:12:16,880 --> 00:12:20,960 Speaker 1: What did you fiance to believe? So yeah, yeah, have 204 00:12:21,000 --> 00:12:25,960 Speaker 1: you been invited to the wedding? Well, I'm very busy. 205 00:12:26,080 --> 00:12:31,320 Speaker 1: But when they when you saw her at the Republican Convention, yeah, hard. Yeah, 206 00:12:31,400 --> 00:12:35,160 Speaker 1: these things are hard, of course, I'm human. Hey, we 207 00:12:35,200 --> 00:12:39,560 Speaker 1: didn't have kids, thankfully loved her father, her mom died 208 00:12:39,640 --> 00:12:42,360 Speaker 1: very young from Puerto Rico. We're different people back then. 209 00:12:42,520 --> 00:12:45,720 Speaker 1: And uh, that was a gateway. What a gift that 210 00:12:45,840 --> 00:12:49,920 Speaker 1: relationship to the most magnificent, extraordinary human being, period full stop, 211 00:12:49,960 --> 00:12:52,280 Speaker 1: that I've ever met. And that's our wife for in 212 00:12:52,360 --> 00:12:57,000 Speaker 1: credible kids in a rock star period full pauses. I 213 00:12:57,080 --> 00:13:00,400 Speaker 1: adore passions, reflective in the work. I try to do 214 00:13:00,520 --> 00:13:03,440 Speaker 1: well what she means sucking money out of schools to 215 00:13:03,679 --> 00:13:07,120 Speaker 1: for her dopey films. Oh my god, By the way, 216 00:13:07,120 --> 00:13:10,800 Speaker 1: that was David Axelrod, the other voice the Axe Files podcast. 217 00:13:11,040 --> 00:13:13,400 Speaker 1: He used to be a long time political consultant. Hack 218 00:13:13,520 --> 00:13:17,559 Speaker 1: right right, He was Obama's campaign strategist. Okay, okay, So 219 00:13:17,840 --> 00:13:21,720 Speaker 1: so he suddenly swings into his rock stars. Second wife, 220 00:13:22,960 --> 00:13:26,760 Speaker 1: who Um has taken money from pg at E to 221 00:13:26,920 --> 00:13:33,200 Speaker 1: fund her feminist films that she charges public schools to show. Right, 222 00:13:33,240 --> 00:13:36,080 Speaker 1: they turn around, they give out contracts to these uh 223 00:13:36,720 --> 00:13:42,400 Speaker 1: corporations which give the money to her nonprofit. Really, it's 224 00:13:42,400 --> 00:13:46,360 Speaker 1: a it's a complete quid pro quo, complete, complete stop, 225 00:13:47,080 --> 00:13:50,800 Speaker 1: period full stop. Oh I saw somebody today, I saw 226 00:13:50,840 --> 00:13:55,000 Speaker 1: this quote. Uh, somebody in the news used the phrase 227 00:13:55,679 --> 00:14:04,400 Speaker 1: period hard full stop. Oh so variation, So you were 228 00:14:04,440 --> 00:14:06,400 Speaker 1: right the first half of that guy. He doesn't speak 229 00:14:06,440 --> 00:14:10,160 Speaker 1: in any language anybody can tolerate or understand, period full stop. 230 00:14:12,360 --> 00:14:15,800 Speaker 1: Why does he say that when he gets on the 231 00:14:15,880 --> 00:14:18,360 Speaker 1: national stage big time because he thinks he's president. This 232 00:14:18,440 --> 00:14:21,040 Speaker 1: is really going to be awful for him. Okay, So 233 00:14:21,200 --> 00:14:25,120 Speaker 1: he is saying that. Kimberly Gilfoyle started working at Fox 234 00:14:25,200 --> 00:14:29,880 Speaker 1: and got brainwashed, pretty completely changed her belief system. So 235 00:14:30,480 --> 00:14:33,680 Speaker 1: Kimberly Gilfoyle went on the Charlie Kirk Show this is 236 00:14:33,680 --> 00:14:39,320 Speaker 1: a conservative program and this is this is her tale. 237 00:14:39,680 --> 00:14:44,400 Speaker 1: Gavin Newsom, governor of California, says that you fell prey 238 00:14:44,560 --> 00:14:48,040 Speaker 1: to culture at Fox News. What is your response to 239 00:14:48,520 --> 00:14:51,000 Speaker 1: when you read that? Were you like, are you kidding me? 240 00:14:51,120 --> 00:14:53,920 Speaker 1: I got this story sent to me about like fifty 241 00:14:53,960 --> 00:14:57,120 Speaker 1: seven times last night and all the reporters reaching out 242 00:14:57,160 --> 00:15:00,560 Speaker 1: to me for comment. But I'm giving it to you. Charlie. Okay, 243 00:15:00,800 --> 00:15:03,800 Speaker 1: this is absurd. You know me a long time. Have 244 00:15:03,920 --> 00:15:06,160 Speaker 1: you ever seen me to be someone that is led 245 00:15:06,200 --> 00:15:09,400 Speaker 1: by others, like in some cult mentality that I would like? Oh? 246 00:15:09,480 --> 00:15:11,720 Speaker 1: I fell prey to the culture at us. No. I 247 00:15:11,760 --> 00:15:17,280 Speaker 1: have been a proud okay, Republican and conservative, registering as 248 00:15:17,320 --> 00:15:21,480 Speaker 1: a Republican eighteen years of age, attending UC Davis, which 249 00:15:21,480 --> 00:15:24,000 Speaker 1: has gone a little crazy, and a member of the 250 00:15:24,080 --> 00:15:27,240 Speaker 1: leading Republicans party there, okay. And they matched me up 251 00:15:27,240 --> 00:15:29,560 Speaker 1: with a woman that rivals me for being about as 252 00:15:29,600 --> 00:15:32,880 Speaker 1: conservative and to the right as I am. Kevin knows this. 253 00:15:33,200 --> 00:15:36,680 Speaker 1: I didn't change. He did. He used to be so 254 00:15:36,760 --> 00:15:40,400 Speaker 1: proud to fight for small businesses, for entrepreneurs, for those 255 00:15:40,440 --> 00:15:43,800 Speaker 1: hard working men and women, and he's fallen prey to 256 00:15:43,880 --> 00:15:47,120 Speaker 1: the left, the radical left that is pushing him so 257 00:15:47,200 --> 00:15:51,720 Speaker 1: far to the left that it's unrecognizable. I believe her, Dad. 258 00:15:51,800 --> 00:15:53,720 Speaker 1: He said, this is somebody who's a small business owner 259 00:15:53,720 --> 00:15:56,080 Speaker 1: who worked hard to try to bring jobs and energy 260 00:15:56,120 --> 00:15:59,040 Speaker 1: to San Francisco and not penalize people with small business. 261 00:15:59,080 --> 00:16:01,600 Speaker 1: Instead he shut down and half the businesses in the state. Yeah, 262 00:16:01,600 --> 00:16:03,400 Speaker 1: that's what she went on to say. Now as governor's 263 00:16:03,400 --> 00:16:08,120 Speaker 1: destroying them. I believe her. I don't believe him. She 264 00:16:08,200 --> 00:16:10,080 Speaker 1: went on to say that he absolutely is going to 265 00:16:10,160 --> 00:16:12,480 Speaker 1: run for president of the United States, if not in 266 00:16:12,560 --> 00:16:14,720 Speaker 1: twenty four, then in twenty eight, because that's what he thinks. 267 00:16:14,720 --> 00:16:18,600 Speaker 1: He deserves to be, period, full stop. He deserves to 268 00:16:18,640 --> 00:16:22,840 Speaker 1: be So it's something he wants very badly. Oh you 269 00:16:22,880 --> 00:16:25,520 Speaker 1: could you could see that. Oh she thinks it's gonna 270 00:16:25,520 --> 00:16:29,080 Speaker 1: be Gavin Newsom against Trump. So I guess she thinks 271 00:16:29,120 --> 00:16:33,160 Speaker 1: it's going to happen in twenty four. Father in law, 272 00:16:33,160 --> 00:16:40,040 Speaker 1: And there are so many combinations you don't want to see. Bods, 273 00:16:41,320 --> 00:16:46,160 Speaker 1: it's scary enough as it is. All right, Gavin, get 274 00:16:46,200 --> 00:16:49,320 Speaker 1: back in the box. All right, we got more coming up, 275 00:16:49,360 --> 00:16:51,880 Speaker 1: John and Ken caf I am six forty five. Everywhere 276 00:16:51,880 --> 00:16:54,840 Speaker 1: the iHeartRadio apples emptiest Man. Yeah, we're on from one 277 00:16:54,880 --> 00:16:56,760 Speaker 1: to four, So if you can't hear us live, pick 278 00:16:56,840 --> 00:16:59,520 Speaker 1: up the podcast at kf I AM sixty dot com 279 00:16:59,640 --> 00:17:03,800 Speaker 1: or use the iHeartRadio app We'll be talking about a 280 00:17:03,840 --> 00:17:08,760 Speaker 1: couple of studies showing us just how incredibly bad zero 281 00:17:08,880 --> 00:17:13,359 Speaker 1: bail policies are resulting in more crimes. One from New 282 00:17:13,440 --> 00:17:17,600 Speaker 1: York State, one report from California. Yea, all the people 283 00:17:17,720 --> 00:17:21,600 Speaker 1: who say that no bail does not lead to more 284 00:17:21,640 --> 00:17:25,119 Speaker 1: crime are liars and they knew they were lying and 285 00:17:25,200 --> 00:17:28,680 Speaker 1: they didn't care. And this is why you've got to 286 00:17:28,720 --> 00:17:30,960 Speaker 1: pay attention on who you vote for and what you 287 00:17:31,080 --> 00:17:34,399 Speaker 1: vote on, because these people are part of this weird 288 00:17:34,800 --> 00:17:38,800 Speaker 1: anarchist cult that want to destroy the justice system, and 289 00:17:38,880 --> 00:17:41,880 Speaker 1: they try to sell you a nonsense in garbage like well, 290 00:17:41,920 --> 00:17:44,840 Speaker 1: you know, actually, we've found statistics should say if you 291 00:17:44,920 --> 00:17:49,640 Speaker 1: don't give bail to people, they commit fewer crimes. That's impossible. 292 00:17:50,359 --> 00:17:53,800 Speaker 1: Now it's proven. We're gonna have Michael Rushford on from 293 00:17:53,800 --> 00:17:57,240 Speaker 1: the Criminal Justice Legal Foundation with more on this report 294 00:17:58,280 --> 00:18:01,200 Speaker 1: after the news at two o'clock. Well had Deborah Marks back. 295 00:18:01,280 --> 00:18:04,200 Speaker 1: We're going to welcome her with let's kill the animal stories. 296 00:18:05,920 --> 00:18:09,520 Speaker 1: I'm sure she's pleased for that. Let's kill the animals. Well, 297 00:18:09,960 --> 00:18:13,280 Speaker 1: it makes my point, especially the first one from the 298 00:18:13,320 --> 00:18:17,880 Speaker 1: Washington Post by a columnist named Dana Millbank. I bought 299 00:18:17,880 --> 00:18:20,720 Speaker 1: a gun and I intend to use it. And right 300 00:18:20,800 --> 00:18:24,439 Speaker 1: underneath the headline in his little photo is the picture 301 00:18:24,520 --> 00:18:26,320 Speaker 1: what he's going to use it on. And it's a 302 00:18:26,320 --> 00:18:31,359 Speaker 1: cute deer staring at the camera because, as he points out, 303 00:18:32,600 --> 00:18:35,840 Speaker 1: there's actually one scientist who thinks deer are more dangerous 304 00:18:35,840 --> 00:18:39,680 Speaker 1: than climate change to the environment. Is right? Yeah, oh, 305 00:18:39,720 --> 00:18:44,640 Speaker 1: did you read this? He makes a compelling argument. First, 306 00:18:44,680 --> 00:18:47,560 Speaker 1: he wants to everyone to know that he loves deer, 307 00:18:48,760 --> 00:18:52,200 Speaker 1: and his view on hunters comes primarily from just watching Bambi. 308 00:18:53,040 --> 00:18:54,520 Speaker 1: When I was a kid in my family put out 309 00:18:54,520 --> 00:18:56,840 Speaker 1: a salt like to attract deer. My heart still leaps 310 00:18:56,840 --> 00:18:59,320 Speaker 1: when I see a spotted fawn, and I've never con 311 00:18:59,359 --> 00:19:04,639 Speaker 1: seriously considered owning a gun before. However, deer are no 312 00:19:04,720 --> 00:19:07,920 Speaker 1: longer an adorable nuisance munching our shrubs and flowers. They're 313 00:19:08,000 --> 00:19:14,120 Speaker 1: causing an ecological disaster. According to Burned Blossie. Maybe it's Bernard, 314 00:19:14,119 --> 00:19:17,679 Speaker 1: but it's b R N D. Burnard Bernard, the entire 315 00:19:17,800 --> 00:19:23,480 Speaker 1: food web is unraveling. Deer or ecological bullies. They take 316 00:19:23,560 --> 00:19:25,760 Speaker 1: house and home and the ability to live away from 317 00:19:25,760 --> 00:19:30,639 Speaker 1: other organisms, whether they're birds, other mammals, insects, or plants. 318 00:19:31,800 --> 00:19:35,719 Speaker 1: And it was Doug Talamy, an atomologist, who said they 319 00:19:35,800 --> 00:19:39,919 Speaker 1: might be a bigger threat to eastern forests than climate change. 320 00:19:40,800 --> 00:19:44,680 Speaker 1: And he goes on to explain exactly what they do 321 00:19:45,280 --> 00:19:47,639 Speaker 1: to eat up the environment and cause it to be 322 00:19:47,760 --> 00:19:54,040 Speaker 1: very difficult for other creatures to exist, says in the 323 00:19:54,160 --> 00:20:01,679 Speaker 1: story here they apparently, says, you will find mind mature trees, 324 00:20:01,720 --> 00:20:04,879 Speaker 1: but no understory. None of the seedlings, saplings, flowers, and 325 00:20:04,920 --> 00:20:08,520 Speaker 1: shrubs that once covered the forest floor. The insatiable deer 326 00:20:08,560 --> 00:20:10,399 Speaker 1: have eaten it all. They eat three to five percent 327 00:20:10,480 --> 00:20:13,840 Speaker 1: of their body weight in leafy greens every single day. Well, 328 00:20:14,080 --> 00:20:16,920 Speaker 1: you just have set off cascading troubles throughout the forests. 329 00:20:17,240 --> 00:20:20,520 Speaker 1: You may wonder, then, how, I mean, how can the 330 00:20:20,520 --> 00:20:23,800 Speaker 1: deer havn't done this thousands and thousands of years ago, 331 00:20:25,000 --> 00:20:27,880 Speaker 1: eating the planet to death? Well, and he guess what 332 00:20:28,760 --> 00:20:30,320 Speaker 1: I guess you're going to say, right, Well, he had 333 00:20:30,359 --> 00:20:33,520 Speaker 1: predators that we removed their predators that's right. So they're 334 00:20:33,560 --> 00:20:38,000 Speaker 1: multiplying to unnatural levels. That's one of the problems, right, 335 00:20:38,400 --> 00:20:41,119 Speaker 1: And this is the point I was making that the 336 00:20:41,160 --> 00:20:43,560 Speaker 1: animals are wonderful, but if you let them go about, 337 00:20:43,840 --> 00:20:46,640 Speaker 1: they're just going to reproduce and end up in masses. 338 00:20:46,640 --> 00:20:49,880 Speaker 1: And sometimes that can cause big damage because they don't 339 00:20:49,880 --> 00:20:52,639 Speaker 1: have controls on their behaviors and they don't have the 340 00:20:52,960 --> 00:20:57,360 Speaker 1: thought and reasoning but most people have. But I've got 341 00:20:57,400 --> 00:21:01,000 Speaker 1: another thought here. You can see that these planet fanatics 342 00:21:02,560 --> 00:21:08,359 Speaker 1: um are gonna eventually move beyond being upset with the 343 00:21:08,440 --> 00:21:12,320 Speaker 1: emissions from coming from cars, right, and they're gonna start 344 00:21:12,359 --> 00:21:15,640 Speaker 1: looking at other ways the planet gets harmed. Oh, look 345 00:21:15,680 --> 00:21:18,399 Speaker 1: at this, the planet gets harmed by some of the 346 00:21:18,480 --> 00:21:22,000 Speaker 1: animals who live on it, primarily humans. But now, oh, 347 00:21:22,040 --> 00:21:24,960 Speaker 1: it looks like deer. Deer is causing too much damage 348 00:21:25,000 --> 00:21:28,400 Speaker 1: in our opinion, I guess we'll have to kill the deer. Well, 349 00:21:28,480 --> 00:21:30,840 Speaker 1: it's a pretty short step to saying I think it's 350 00:21:30,880 --> 00:21:35,359 Speaker 1: time we start killing people. Over population. M overpopulation on 351 00:21:35,400 --> 00:21:39,479 Speaker 1: the is also about also about other animals too, because 352 00:21:39,480 --> 00:21:44,000 Speaker 1: the deer eat up all the food that bears, turkeys, woodpeckers, squirrels, chipmunks, mice, 353 00:21:44,040 --> 00:21:48,280 Speaker 1: and many other species got it. Well, if you're a bear, 354 00:21:49,119 --> 00:21:51,280 Speaker 1: shame on you for letting a deer steal your food. 355 00:21:51,720 --> 00:21:54,159 Speaker 1: You should be able to take out a deer. It 356 00:21:54,280 --> 00:21:58,440 Speaker 1: also writes that, uh, starvation and disease. Oh Peter weight 357 00:21:58,520 --> 00:22:01,480 Speaker 1: in on this. They thought that starvation and disease, while unfortunate, 358 00:22:01,960 --> 00:22:06,080 Speaker 1: that's nature's way of ensuring that the strong survive. But apparently, 359 00:22:06,160 --> 00:22:09,000 Speaker 1: by the time the deer starts themselves into lower numbers, 360 00:22:09,560 --> 00:22:13,680 Speaker 1: they will already cause the disappearance of trees, plants, insects, birds, mammals, 361 00:22:13,680 --> 00:22:17,879 Speaker 1: and amphibians. They're now threatening. Then the other idea was 362 00:22:17,920 --> 00:22:21,119 Speaker 1: to reduce deer fertility. That's always been talked that you 363 00:22:21,160 --> 00:22:23,320 Speaker 1: put them on some type of birth control, but that 364 00:22:23,840 --> 00:22:28,359 Speaker 1: probably wouldn't work either. Then the third idea was reintroducing 365 00:22:28,400 --> 00:22:30,919 Speaker 1: wolves and mountain lions into their habitats, so we have 366 00:22:30,960 --> 00:22:34,080 Speaker 1: a natural predator right until the wolves and mountain lions 367 00:22:34,640 --> 00:22:40,720 Speaker 1: start backyards. This sounds like upset people for a perfect world, 368 00:22:41,320 --> 00:22:47,800 Speaker 1: trying to control nature, trying to you know, manipulate the species, 369 00:22:48,160 --> 00:22:53,240 Speaker 1: their birth rates, their their habits, how much food they eat. Yeah, 370 00:22:53,280 --> 00:22:56,320 Speaker 1: but I think that it's very My point is if 371 00:22:56,359 --> 00:23:00,719 Speaker 1: you let animals go, they will reproduce to unbelieveable numbers. 372 00:23:01,320 --> 00:23:03,160 Speaker 1: That's why every now and then you need to call 373 00:23:03,280 --> 00:23:07,520 Speaker 1: the flock. You do, because they're not going to stop reproducing. 374 00:23:07,560 --> 00:23:12,280 Speaker 1: That's what they do. Let them overpopulate. Yeah, Let what what? 375 00:23:12,640 --> 00:23:15,159 Speaker 1: We only have the rights to the land. Let the 376 00:23:15,240 --> 00:23:18,720 Speaker 1: deer have their ab the rights to what they're they're 377 00:23:18,800 --> 00:23:21,000 Speaker 1: eating up and tearing up all the land, So that's 378 00:23:21,040 --> 00:23:24,560 Speaker 1: the problem. They don't put back anything human beings do. 379 00:23:24,760 --> 00:23:30,480 Speaker 1: Human beings generally figure out ways to return. I think 380 00:23:30,480 --> 00:23:34,400 Speaker 1: it's cruel to kill animals because we don't like what 381 00:23:34,440 --> 00:23:37,600 Speaker 1: they're doing exact to our land. But you are not 382 00:23:37,800 --> 00:23:41,399 Speaker 1: accepting overpopulation among animals. They don't use birth control, they 383 00:23:41,440 --> 00:23:46,280 Speaker 1: don't use any kind of Wait, who decides what overpopulation is. Well, 384 00:23:46,280 --> 00:23:48,720 Speaker 1: this guy's making the point it's destroying the forests, it's 385 00:23:48,760 --> 00:23:52,399 Speaker 1: destroying other creatures in the forests. I think he's got 386 00:23:52,440 --> 00:23:55,000 Speaker 1: a good point. But that's I think I'm gonna go on. 387 00:23:55,320 --> 00:23:57,960 Speaker 1: That's what that's part of nature. You just let it happen. 388 00:23:59,760 --> 00:24:03,560 Speaker 1: The earth. Earth is always renewing itself over and over again. 389 00:24:03,800 --> 00:24:06,320 Speaker 1: The earth didn't look like this. You know, a million 390 00:24:06,440 --> 00:24:08,920 Speaker 1: years ago or five hundred million years But you made 391 00:24:08,960 --> 00:24:12,040 Speaker 1: the point we removed their natural predators. We made this out. 392 00:24:12,119 --> 00:24:16,359 Speaker 1: I would I would agree reintroducing the natural predators, but 393 00:24:16,440 --> 00:24:18,679 Speaker 1: then people would be complaining that, you know, their wolves 394 00:24:18,680 --> 00:24:25,080 Speaker 1: and bears in their backyards, and I don't know. This 395 00:24:25,119 --> 00:24:31,520 Speaker 1: seems to me an outgrowth of the climate fanatics testing 396 00:24:31,640 --> 00:24:34,960 Speaker 1: testing one two three? What was that about? Sorry, we're 397 00:24:35,000 --> 00:24:37,720 Speaker 1: having computer issues in here, and so I thought I 398 00:24:37,800 --> 00:24:40,439 Speaker 1: was off, So sorry about that. Well, it's simple, just 399 00:24:40,520 --> 00:24:45,280 Speaker 1: turn off your mic please. Wow, I did. I had 400 00:24:45,320 --> 00:24:47,440 Speaker 1: it in queue, so I'm not sure why it went on. 401 00:24:48,440 --> 00:24:51,000 Speaker 1: So in New Mexico they're doing the same thing. They're 402 00:24:51,040 --> 00:24:57,880 Speaker 1: going to put gunmen in helicopters and shoot down feral cows. Cows. 403 00:24:57,880 --> 00:25:00,800 Speaker 1: Oh now, there's too many cows too. In this particular 404 00:25:00,800 --> 00:25:04,359 Speaker 1: area of New Mexico. It is right, one hundred and 405 00:25:04,359 --> 00:25:11,240 Speaker 1: fifty cattle are damaging streams and rivers. I believe it's necessary. 406 00:25:11,560 --> 00:25:13,920 Speaker 1: It's pretty wild, though. They're going to shoot them from helicopters. 407 00:25:15,880 --> 00:25:18,919 Speaker 1: It says here they are aggressive towards visitors. They graze 408 00:25:18,960 --> 00:25:23,080 Speaker 1: ye around, and they trample stream banks and springs, causing erosions. 409 00:25:23,119 --> 00:25:26,359 Speaker 1: And sedimentation. But it's they're causing problems for us. Is 410 00:25:26,359 --> 00:25:29,000 Speaker 1: the reason we want to shoot the cows and the 411 00:25:29,119 --> 00:25:32,159 Speaker 1: deer now. But you can't sit down and talk to 412 00:25:32,200 --> 00:25:33,919 Speaker 1: them so you can figure out a solution. That's not 413 00:25:33,920 --> 00:25:36,800 Speaker 1: how it works. There is no solution because they've got 414 00:25:36,840 --> 00:25:38,679 Speaker 1: the right to the planet just like we do. We 415 00:25:38,800 --> 00:25:41,840 Speaker 1: used to have, you know, millions of bison roaming the planet, 416 00:25:42,359 --> 00:25:46,040 Speaker 1: and I'm sure they trampled over all the land. Something 417 00:25:46,080 --> 00:25:49,399 Speaker 1: happened to you. I thought people came above animals. You're like, oh, 418 00:25:49,440 --> 00:25:53,960 Speaker 1: they have a right to the planet like we do. People. Well, no, 419 00:25:54,280 --> 00:26:00,960 Speaker 1: I'm done with people except your people. The people you like. Yes, people, Yes, yeah, 420 00:26:01,000 --> 00:26:04,800 Speaker 1: well there's about ten. That's all you gonna take. With 421 00:26:05,040 --> 00:26:08,760 Speaker 1: the rest of them can go to hell. Get get 422 00:26:08,840 --> 00:26:12,360 Speaker 1: stomped on by a wild cow. Yeah. It says here 423 00:26:12,400 --> 00:26:14,440 Speaker 1: that it's about one hundred and fifty to one hundred 424 00:26:14,480 --> 00:26:18,240 Speaker 1: and fifty cows. And this is a Guila Wilderness, which 425 00:26:18,280 --> 00:26:21,160 Speaker 1: is home to endangered Mexican gray wolves, elk, and deer, 426 00:26:21,200 --> 00:26:25,119 Speaker 1: among other wildlife. Last year, a contractor hired by the 427 00:26:25,119 --> 00:26:28,600 Speaker 1: Forest Service killed sixty five cows in an aerial hunt. 428 00:26:29,040 --> 00:26:34,480 Speaker 1: That's genocide. We got dear genocide, cow genocide. I'm telling 429 00:26:34,560 --> 00:26:36,680 Speaker 1: that this crowd's gonna come for us. What cows die 430 00:26:36,760 --> 00:26:39,720 Speaker 1: for your hamburger in your steak and you care about them? Suddenly, 431 00:26:39,840 --> 00:26:42,760 Speaker 1: what a phony you are? Oh? I think if if 432 00:26:42,760 --> 00:26:44,879 Speaker 1: they're gonna, if they're gonna provide a right on the planet, 433 00:26:44,920 --> 00:26:47,080 Speaker 1: why are you eating them? I can turn this argument 434 00:26:47,119 --> 00:26:49,440 Speaker 1: around on you. Because they're grown to create food. That's 435 00:26:49,480 --> 00:26:55,359 Speaker 1: their purpose. Oh that's because you decided that, right. Well, yeah, 436 00:26:55,400 --> 00:26:59,080 Speaker 1: because I'm hungry. But I don't think wild cows. They're 437 00:26:59,080 --> 00:27:02,440 Speaker 1: not they're not meant to become burgers. Well why not 438 00:27:02,760 --> 00:27:06,440 Speaker 1: your aren't. It'd be a perfect solution rather than taking 439 00:27:06,440 --> 00:27:08,119 Speaker 1: some poor cow that's just on a ranch and not 440 00:27:08,160 --> 00:27:10,480 Speaker 1: causing any trouble, why don't you take out one that's 441 00:27:10,480 --> 00:27:15,080 Speaker 1: destroying the environment in New Mexico. These cows and the 442 00:27:15,119 --> 00:27:17,720 Speaker 1: deer are part of the environment. All the species have 443 00:27:17,800 --> 00:27:21,160 Speaker 1: to fight it out on their own terms. No, that's right. 444 00:27:21,240 --> 00:27:25,879 Speaker 1: Then we're gonna win because we have guns, because because 445 00:27:25,960 --> 00:27:28,880 Speaker 1: we are the superior species. You have to come back 446 00:27:28,920 --> 00:27:31,840 Speaker 1: to that. Could you keep forgetting I will. I will 447 00:27:31,880 --> 00:27:35,640 Speaker 1: take you down the hallway here and you tell me, Well, 448 00:27:35,640 --> 00:27:38,959 Speaker 1: you're cherry picking the idiots in the station. All right, 449 00:27:38,960 --> 00:27:41,160 Speaker 1: we got more coming up Johnny ken Cafe, I Am 450 00:27:41,200 --> 00:27:43,639 Speaker 1: six forty Live Everywhere the iHeartRadio app. Do you have 451 00:27:43,720 --> 00:27:46,040 Speaker 1: a secret supply of people you know who are worthy? 452 00:27:50,560 --> 00:27:54,320 Speaker 1: You must you talk like you actually like people all 453 00:27:54,359 --> 00:27:57,240 Speaker 1: of a sudden, Well, we'll be talking about the consequences 454 00:27:57,240 --> 00:28:00,199 Speaker 1: of zero bail after the News at two o'clock, and 455 00:28:00,200 --> 00:28:03,960 Speaker 1: you could imagine what it is more crime. New York 456 00:28:04,000 --> 00:28:07,880 Speaker 1: State tried this, by the way, zero bail. They've kind 457 00:28:07,920 --> 00:28:11,119 Speaker 1: of gone back on it because it has become a disaster. 458 00:28:11,280 --> 00:28:13,560 Speaker 1: There was story after story in New York City of 459 00:28:13,600 --> 00:28:18,840 Speaker 1: guys released on no bail for some serious crime, and 460 00:28:18,880 --> 00:28:21,880 Speaker 1: then they were right back out there committing another crime. 461 00:28:21,920 --> 00:28:25,560 Speaker 1: Because again, there's no consequences for something. Criminals will repeat 462 00:28:25,600 --> 00:28:27,800 Speaker 1: the behavior. You're giving them the green light to do 463 00:28:27,880 --> 00:28:31,840 Speaker 1: what they want. Michael Rushford, the founder, president, and chief 464 00:28:31,840 --> 00:28:35,360 Speaker 1: executive officer of the Criminal Justice Legal Foundation, will join 465 00:28:35,440 --> 00:28:39,520 Speaker 1: us coming up after the News at two o'clock. We 466 00:28:39,600 --> 00:28:43,320 Speaker 1: mentioned earlier this week that the state of California has 467 00:28:43,360 --> 00:28:48,440 Speaker 1: lost half a million people in the last couple of years. 468 00:28:48,560 --> 00:28:52,680 Speaker 1: People that migrate to other states, because it's a better 469 00:28:52,760 --> 00:28:56,480 Speaker 1: deal to live there. Now there's a report which is 470 00:28:56,560 --> 00:29:02,320 Speaker 1: kind of interesting that even the places where the super 471 00:29:02,440 --> 00:29:07,040 Speaker 1: rich are staying is beginning to change. It used to 472 00:29:07,080 --> 00:29:11,160 Speaker 1: always be that New York and California, certain neighborhoods of 473 00:29:11,200 --> 00:29:15,080 Speaker 1: California and there's still wealthy people here would have very 474 00:29:15,120 --> 00:29:20,840 Speaker 1: wealthy people. But now places in Florida are seeing big 475 00:29:20,920 --> 00:29:26,440 Speaker 1: growths in what they call ultra wealthy people. There's an 476 00:29:26,440 --> 00:29:30,360 Speaker 1: island off of Miami called Star Island. A typical home 477 00:29:30,360 --> 00:29:34,160 Speaker 1: on the island is valued at forty million dollars, up 478 00:29:34,200 --> 00:29:36,880 Speaker 1: from just twenty three and a half million in December 479 00:29:36,880 --> 00:29:40,800 Speaker 1: of twenty nineteen, and a whole bunch of wealthy people, 480 00:29:40,840 --> 00:29:46,080 Speaker 1: including stars, have been moving to this place. Now, Florida's 481 00:29:46,080 --> 00:29:48,840 Speaker 1: a place that has no state income tax, so that's 482 00:29:48,880 --> 00:29:52,560 Speaker 1: always been an advantage and a welcome for the wealthy 483 00:29:52,600 --> 00:29:55,600 Speaker 1: people to go. Remember that like sports stars Tiger Woods 484 00:29:55,640 --> 00:29:59,960 Speaker 1: relocated to Florida to Stanford. He got out at California. 485 00:30:00,080 --> 00:30:03,600 Speaker 1: This back when the highest income tax rates were bad, 486 00:30:03,680 --> 00:30:05,640 Speaker 1: but not as bad as they are now. It also, 487 00:30:06,520 --> 00:30:10,160 Speaker 1: they did not lock down, and they don't have the 488 00:30:10,200 --> 00:30:14,320 Speaker 1: crime and they don't have the homeless issue, the homeless issue, 489 00:30:14,400 --> 00:30:18,880 Speaker 1: the crime, the massive lockdowns that added to the you know, 490 00:30:18,920 --> 00:30:22,720 Speaker 1: the tax burden here, and that was the tipping point. 491 00:30:22,840 --> 00:30:27,640 Speaker 1: It's been all downhill now for three years. Yeah, Florida 492 00:30:27,680 --> 00:30:30,840 Speaker 1: has seen the most massive games among the nation's richest 493 00:30:30,880 --> 00:30:35,160 Speaker 1: neighborhoods for single family homes. In addition to Star Island, 494 00:30:35,200 --> 00:30:39,920 Speaker 1: which is listed as having the biggest increase, Naples, Florida 495 00:30:39,920 --> 00:30:43,840 Speaker 1: neighborhood quartal called Port Royal saw some big games too, 496 00:30:43,920 --> 00:30:49,040 Speaker 1: and then Jupiter, Florida, Miami Beach another section of Naples, 497 00:30:49,040 --> 00:30:51,480 Speaker 1: and a bunch of neighborhoods in Miami Beach are in 498 00:30:51,480 --> 00:30:54,719 Speaker 1: the top ten. The only other ones that are on 499 00:30:54,760 --> 00:30:58,200 Speaker 1: that list are some neighborhoods in Beverly Hills. Yeah. Nine 500 00:30:58,200 --> 00:31:03,200 Speaker 1: of the top twelve richest neighborhoods are in Florida. Now, yeah, 501 00:31:03,320 --> 00:31:08,040 Speaker 1: California has three, all three in Beverly Hills. So places 502 00:31:08,080 --> 00:31:10,560 Speaker 1: people are moving from include New York's Upper East Side. 503 00:31:10,600 --> 00:31:13,480 Speaker 1: I remember reading that when the pandemic began to hit, 504 00:31:13,880 --> 00:31:16,040 Speaker 1: these were some wealthy people that already had homes in 505 00:31:16,120 --> 00:31:19,280 Speaker 1: like Florida, but they just gave up on living in Manhattan. 506 00:31:20,000 --> 00:31:23,320 Speaker 1: Manhattan you've got to deal with the state and the 507 00:31:23,360 --> 00:31:26,880 Speaker 1: city income tax. You know, you're well over the fifty 508 00:31:26,920 --> 00:31:32,440 Speaker 1: percent mark. In fact, there's there's one guy who said 509 00:31:32,520 --> 00:31:39,560 Speaker 1: that just is from Massachusetts and moving to Florida, just 510 00:31:39,680 --> 00:31:41,680 Speaker 1: saving on the income tax alone makes it worth it 511 00:31:41,720 --> 00:31:46,440 Speaker 1: to buy the house that staying in Massachusetts with that 512 00:31:46,520 --> 00:31:50,080 Speaker 1: tax rate would cost him more money than buying the 513 00:31:50,120 --> 00:31:54,600 Speaker 1: house in Florida. It's funny because people used to always 514 00:31:54,600 --> 00:31:56,920 Speaker 1: make fun of Florida. Right it comes another crazy story 515 00:31:56,920 --> 00:31:59,560 Speaker 1: from Florida that's considered like another one of those southern 516 00:31:59,720 --> 00:32:03,200 Speaker 1: riff raff states. Well, because the the the the inland 517 00:32:03,240 --> 00:32:06,600 Speaker 1: areas are the inland areas are filled with you know, 518 00:32:06,720 --> 00:32:12,560 Speaker 1: meth snorting, trailer dwelling genetic freaks. It's the coasts along 519 00:32:12,600 --> 00:32:15,400 Speaker 1: the East and West coast near the beach. It's just 520 00:32:15,440 --> 00:32:19,080 Speaker 1: like California. Now, you go to the coast, you're you're 521 00:32:19,080 --> 00:32:21,200 Speaker 1: a different class of people than if you go out 522 00:32:21,240 --> 00:32:24,560 Speaker 1: into the wilds. Yeah, Florida never bothered me. My parents 523 00:32:24,640 --> 00:32:26,400 Speaker 1: lived there for years. I know they get a lot 524 00:32:26,440 --> 00:32:29,040 Speaker 1: of hurricanes and some of its swamp land. It's not 525 00:32:29,080 --> 00:32:32,840 Speaker 1: exactly beautiful, but overalls, seems like a good enough place, 526 00:32:32,960 --> 00:32:35,040 Speaker 1: and you're right if you're if you're wealthy enough, you 527 00:32:35,040 --> 00:32:36,760 Speaker 1: can find a better neighborhood you have to deal with 528 00:32:36,800 --> 00:32:39,640 Speaker 1: any of the riff raff aspects. People are also leaving 529 00:32:39,960 --> 00:32:44,120 Speaker 1: San Francisco's nob Hill, which is one of the more 530 00:32:44,120 --> 00:32:47,000 Speaker 1: expensive places to live in that city, which we've talked 531 00:32:47,040 --> 00:32:50,280 Speaker 1: about enough for to explain exactly why people are leaving there. 532 00:32:50,680 --> 00:32:53,440 Speaker 1: There was a columnist for The New York Times. I 533 00:32:53,480 --> 00:32:55,400 Speaker 1: don't know have mentioned this every this a few days ago, 534 00:32:55,720 --> 00:32:59,120 Speaker 1: and she did one of these anthropology stories. She climbed 535 00:32:59,160 --> 00:33:02,840 Speaker 1: off her her ivory tower and went down into Florida 536 00:33:02,920 --> 00:33:06,760 Speaker 1: see what's going on. And she'd first gone there in 537 00:33:07,760 --> 00:33:10,320 Speaker 1: the winter twenty twenty one when New York was shut 538 00:33:10,320 --> 00:33:12,840 Speaker 1: down with another round of COVID. Florida was wide open, 539 00:33:13,400 --> 00:33:18,040 Speaker 1: and she just marveled at how excited and giddy everyone 540 00:33:18,320 --> 00:33:22,320 Speaker 1: was in Miami, because, you know, it was a Friday 541 00:33:22,400 --> 00:33:24,800 Speaker 1: or Saturday night, and people were out at the bars 542 00:33:24,840 --> 00:33:28,120 Speaker 1: and restaurants, and a lot of them were refugees from 543 00:33:28,120 --> 00:33:31,920 Speaker 1: the Northeast, and it was party time and people were free. 544 00:33:32,000 --> 00:33:35,360 Speaker 1: There was virtually no masks that she could see, and 545 00:33:35,440 --> 00:33:38,640 Speaker 1: nobody uptight. Nobody worried about anything. And you go back 546 00:33:38,680 --> 00:33:41,520 Speaker 1: to New York and everybody's depressed and dreary, and their 547 00:33:41,520 --> 00:33:45,479 Speaker 1: faces are triple covered. And I'm reading this, it's like 548 00:33:45,560 --> 00:33:48,959 Speaker 1: you're wondering why Florida's exploding. You saw it with your 549 00:33:49,000 --> 00:33:52,000 Speaker 1: own eyes, and you just wrote about it. That's all 550 00:33:52,040 --> 00:33:55,560 Speaker 1: you need to know. Florida's apparently home to thirty eight 551 00:33:55,560 --> 00:33:59,920 Speaker 1: of the fifty million dollar US neighborhoods with the largest 552 00:34:00,080 --> 00:34:02,960 Speaker 1: price gains by percentage. Just over the past three years, 553 00:34:03,880 --> 00:34:08,200 Speaker 1: some areas have seen their home values more than double. Yeah, 554 00:34:08,360 --> 00:34:11,320 Speaker 1: I think for all those reasons you just explained, people 555 00:34:11,320 --> 00:34:14,560 Speaker 1: have just decided it's it's a better place for them. See, 556 00:34:15,040 --> 00:34:20,799 Speaker 1: California was like a cult, right. People worshiped the climate here, right, 557 00:34:21,320 --> 00:34:23,600 Speaker 1: and there was a sense of coming to California as 558 00:34:23,640 --> 00:34:27,080 Speaker 1: a new beginning. There's all these glamorous industries that have 559 00:34:27,200 --> 00:34:33,240 Speaker 1: always been here, and there's a lot of recreation within 560 00:34:33,280 --> 00:34:35,160 Speaker 1: a short drive and you can go from you know, 561 00:34:35,239 --> 00:34:37,960 Speaker 1: skiing to the beach, all that stuff, right, all the cliches, 562 00:34:38,320 --> 00:34:42,040 Speaker 1: and then the bubble popped and suddenly and the home 563 00:34:42,160 --> 00:34:45,400 Speaker 1: was started it five years ago and made life disgusting 564 00:34:45,520 --> 00:34:48,080 Speaker 1: on a block by block basis, and then the crime 565 00:34:48,160 --> 00:34:50,719 Speaker 1: came right and you started seeing the people going out 566 00:34:50,760 --> 00:34:53,520 Speaker 1: to restaurants or going out to shop, and they're getting 567 00:34:53,520 --> 00:34:56,840 Speaker 1: attacked and stabbed, beaten up. And I can't I mentioned 568 00:34:56,840 --> 00:34:58,920 Speaker 1: this together. I can't tell you how many people my 569 00:34:58,960 --> 00:35:02,360 Speaker 1: wife and I know on the West who were absolutely terrified. 570 00:35:02,719 --> 00:35:04,680 Speaker 1: They're just they're afraid to leave the house and go 571 00:35:04,680 --> 00:35:07,680 Speaker 1: out to dinner or go shopping because there's just too 572 00:35:07,680 --> 00:35:10,240 Speaker 1: many random crimes going on. Many of them not even 573 00:35:10,400 --> 00:35:13,160 Speaker 1: reported on the news anymore, but people write about them 574 00:35:13,160 --> 00:35:17,520 Speaker 1: all day online. And the bubbles popped, and every one 575 00:35:17,560 --> 00:35:21,840 Speaker 1: of them is talking about moving out at least part time, selling, 576 00:35:22,640 --> 00:35:25,839 Speaker 1: you know, just just going to another chapter in life 577 00:35:25,840 --> 00:35:29,520 Speaker 1: that this isn't worth it anymore. The average homeowner in 578 00:35:29,600 --> 00:35:33,640 Speaker 1: some of the San Francisco wealthier neighborhoods like knob Hill 579 00:35:34,160 --> 00:35:37,600 Speaker 1: south of Market, Mission to Loris Lower Hate have seen 580 00:35:37,640 --> 00:35:39,880 Speaker 1: their property values dropped by more than two hundred and 581 00:35:39,920 --> 00:35:43,560 Speaker 1: eighty thousand dollars because of this shift the bubble popped. 582 00:35:44,040 --> 00:35:47,400 Speaker 1: Same thing with Manhattan's Upper east Side, prices have fallen 583 00:35:47,400 --> 00:35:50,319 Speaker 1: like nine percent over the past three years. The thing 584 00:35:50,360 --> 00:35:53,480 Speaker 1: that about California, we may not lose the tech people. 585 00:35:54,000 --> 00:35:56,960 Speaker 1: The Silicon Valley town of Atherton. We mentioned them last 586 00:35:56,960 --> 00:35:59,480 Speaker 1: week because Steph Curry was objecting to affordable housing and 587 00:36:00,200 --> 00:36:02,440 Speaker 1: it is the priceest zip code in the country with 588 00:36:02,600 --> 00:36:07,160 Speaker 1: a seven point four million medium home value seven point 589 00:36:07,200 --> 00:36:09,920 Speaker 1: four million. Wow, that's that's the half half homes are 590 00:36:09,920 --> 00:36:13,000 Speaker 1: worth at least seven million. All right, when we return, 591 00:36:13,160 --> 00:36:16,360 Speaker 1: we'll talk about the consequences of not having any bail 592 00:36:16,600 --> 00:36:19,640 Speaker 1: after you arrest criminals. John and Ken kf I AM 593 00:36:19,719 --> 00:36:22,239 Speaker 1: six forty Live everywhere the I heard Radio Deborah mark 594 00:36:22,320 --> 00:36:23,960 Speaker 1: lid in the twenty four hour calf Ie Newsroom