1 00:00:00,080 --> 00:00:03,840 Speaker 1: It's never been more important to diversify your financial portfolio. Well, 2 00:00:03,840 --> 00:00:06,920 Speaker 1: that's right. The SSP is down twenty percent from the 3 00:00:07,000 --> 00:00:09,280 Speaker 1: last year and this year looks even worse. Gold and 4 00:00:09,360 --> 00:00:13,640 Speaker 1: Precious Medals offer a hedge against inflation and stock market volatility, 5 00:00:13,920 --> 00:00:17,080 Speaker 1: and Legacy Precious Medals is the company can and I trust, 6 00:00:17,360 --> 00:00:20,079 Speaker 1: protect your retirement account by rolling it into a goldback 7 00:00:20,200 --> 00:00:23,480 Speaker 1: IRA or have medalship directly to your door. Call our 8 00:00:23,520 --> 00:00:27,840 Speaker 1: friends at Legacy Precious Medals today at eight six, six, six, nine, 9 00:00:28,280 --> 00:00:32,280 Speaker 1: twenty one seventy three or a visit by legacygold dot com. 10 00:00:32,520 --> 00:00:35,120 Speaker 1: When it comes to a driving career, everyone could use 11 00:00:35,120 --> 00:00:38,640 Speaker 1: a little support, especially when it comes to transitions. At LHH, 12 00:00:38,720 --> 00:00:42,599 Speaker 1: we're committed to personalized support, insights and resources that lead 13 00:00:42,640 --> 00:00:45,959 Speaker 1: to more job opportunities no matter what roller professional has 14 00:00:45,960 --> 00:00:49,720 Speaker 1: in your organization. Our services offer an experience that fits 15 00:00:49,800 --> 00:00:54,600 Speaker 1: each individual and for organizations, LHH provides consultative support and 16 00:00:54,680 --> 00:00:58,800 Speaker 1: guidance through the entire outplacement or career transition process. It's 17 00:00:58,880 --> 00:01:03,520 Speaker 1: outplacement Imagined. Visit lah Talent dot com today. Yeah, don't 18 00:01:03,520 --> 00:01:06,440 Speaker 1: forget our voter Guide. We add to it every couple 19 00:01:06,440 --> 00:01:08,520 Speaker 1: of days. It seems it's up on the web page 20 00:01:08,520 --> 00:01:13,720 Speaker 1: you cam'f I am sixty dot com. Next hour, a 21 00:01:13,800 --> 00:01:16,320 Speaker 1: man that would like to be the state's next controller, 22 00:01:17,160 --> 00:01:20,120 Speaker 1: Landhi Chen, is coming on the show. He is running 23 00:01:20,160 --> 00:01:23,240 Speaker 1: as a Republican and he got endorsed by the El 24 00:01:23,319 --> 00:01:28,360 Speaker 1: Segundo Times, which is a little suspicious, but reading his 25 00:01:28,400 --> 00:01:32,640 Speaker 1: ballot statement in the ballot guide, basically he wrote to 26 00:01:32,840 --> 00:01:35,400 Speaker 1: root out waste. He believes that a lot of money 27 00:01:35,480 --> 00:01:37,560 Speaker 1: is wrongly spent and he's going to ask a lot 28 00:01:37,560 --> 00:01:41,200 Speaker 1: of tough questions well, especially about the unemployment money that 29 00:01:41,319 --> 00:01:44,560 Speaker 1: went to the fraudsters and convicted felt. I read an 30 00:01:44,560 --> 00:01:48,279 Speaker 1: interview that he did with one of the media outlets 31 00:01:48,360 --> 00:01:52,080 Speaker 1: up in San Francisco, and he said something funny. It's like, 32 00:01:53,280 --> 00:01:56,200 Speaker 1: maybe you know, if you get a request from San 33 00:01:56,320 --> 00:01:58,680 Speaker 1: Quentin State Prison, you ought to check out and see 34 00:01:58,720 --> 00:02:02,280 Speaker 1: why they're requesting on I meant money. Good points, that's 35 00:02:02,280 --> 00:02:05,200 Speaker 1: all they had to do since so much, so much 36 00:02:05,280 --> 00:02:10,880 Speaker 1: was stolen by prisoners, including death row inmates. And he 37 00:02:10,960 --> 00:02:13,160 Speaker 1: also makes a good point that with one party rule, 38 00:02:13,880 --> 00:02:17,399 Speaker 1: maybe you do need somebody in state offices from the othersition. 39 00:02:17,560 --> 00:02:20,040 Speaker 1: That's what's the time said, Yeah, that's kind of what 40 00:02:20,080 --> 00:02:22,519 Speaker 1: the time SAIDs which leads me to believe there's a 41 00:02:22,560 --> 00:02:27,400 Speaker 1: lot of bad news coming next. Well, the monkey pox 42 00:02:28,000 --> 00:02:30,040 Speaker 1: is in America. Cox Is there a better name than 43 00:02:30,120 --> 00:02:33,920 Speaker 1: monkey pox? I got the monkey pox? Heard of chicken pox? 44 00:02:34,160 --> 00:02:36,480 Speaker 1: Now we monkey pox has been around a long time. 45 00:02:36,480 --> 00:02:38,880 Speaker 1: I'm gonna bring on Alex Stone for more. Sure, let's 46 00:02:39,080 --> 00:02:42,720 Speaker 1: let's scare people. Well, that's the thing doctors are saying, 47 00:02:42,760 --> 00:02:45,839 Speaker 1: don't freak out, even though about half an hour ago 48 00:02:45,840 --> 00:02:48,320 Speaker 1: in New York City said whoop, we probably have a 49 00:02:48,360 --> 00:02:53,200 Speaker 1: case as well. That this is how it started with COVID. Ye, 50 00:02:53,320 --> 00:02:55,880 Speaker 1: it was just one case here, one case, Alex. It 51 00:02:56,000 --> 00:02:59,800 Speaker 1: started slowly. Yep, they're they're waiting now on the tester's 52 00:02:59,800 --> 00:03:02,280 Speaker 1: all come back to know isn't confirmed? They say they 53 00:03:02,280 --> 00:03:04,520 Speaker 1: don't know. It's possible right now. So we've got one 54 00:03:04,560 --> 00:03:09,400 Speaker 1: confirmed case in the US in Massachusetts, second one maybe 55 00:03:09,440 --> 00:03:12,440 Speaker 1: in New York City. Now how it's spreading, they don't know. 56 00:03:13,200 --> 00:03:18,120 Speaker 1: But cases in the UK, Portugal, Spain, Canada, now the 57 00:03:18,440 --> 00:03:22,000 Speaker 1: US as well. Sixty eight globally as of today, maybe 58 00:03:22,000 --> 00:03:25,119 Speaker 1: sixty nine depending on what happens with that New York 59 00:03:25,200 --> 00:03:28,959 Speaker 1: possibility and the US is the latest one to get 60 00:03:29,000 --> 00:03:31,080 Speaker 1: in on this party, and it's a guy who traveled 61 00:03:31,080 --> 00:03:34,480 Speaker 1: to Canada. Somehow got it while he was in Canada. 62 00:03:34,760 --> 00:03:37,840 Speaker 1: They don't know how they're doing contact tracing, all of 63 00:03:37,840 --> 00:03:40,040 Speaker 1: that everything that we know about now, but he's at 64 00:03:40,040 --> 00:03:42,360 Speaker 1: mass General Hospital and they say that that patient is 65 00:03:42,360 --> 00:03:46,600 Speaker 1: currently hospitalized at Massachusetts General Hospital and is admitted to 66 00:03:46,600 --> 00:03:50,840 Speaker 1: our Special Pathogens program. He is in stable condition. He's 67 00:03:50,880 --> 00:03:53,560 Speaker 1: in an isolated air chamber, room negative pressure, all that 68 00:03:53,600 --> 00:03:56,280 Speaker 1: stuff that they were doing with COVID patients early on. 69 00:03:56,320 --> 00:03:59,160 Speaker 1: So al breaks are rare. It's been around since in 70 00:03:59,160 --> 00:04:02,560 Speaker 1: the nineteen fifty they below or they did believe that 71 00:04:02,600 --> 00:04:05,360 Speaker 1: this was something that we didn't have to worry about anymore, 72 00:04:05,400 --> 00:04:08,920 Speaker 1: but time to time, normally in Africa, cases do pop 73 00:04:09,040 --> 00:04:12,280 Speaker 1: up rarely elsewhere. Last one in the US was in 74 00:04:12,360 --> 00:04:16,520 Speaker 1: two thousand and three in pet prairie dogs. I didn't 75 00:04:16,520 --> 00:04:19,120 Speaker 1: even know people did that why. I mean, they're cute, 76 00:04:19,160 --> 00:04:22,960 Speaker 1: but I didn't know if it's always some suspicious contact 77 00:04:22,960 --> 00:04:26,280 Speaker 1: with animals, right, So I went from pets that were 78 00:04:26,279 --> 00:04:29,480 Speaker 1: brought in non prairie dogs from Ghana to the US, 79 00:04:29,520 --> 00:04:32,120 Speaker 1: and then they gave it to the prairie dogs, and 80 00:04:32,160 --> 00:04:35,520 Speaker 1: then a rodent has to or animal of some kind 81 00:04:35,920 --> 00:04:38,520 Speaker 1: bite you or scratch you. Then they give it to you. 82 00:04:38,839 --> 00:04:41,960 Speaker 1: Then it goes human to human and you get it. 83 00:04:42,000 --> 00:04:45,480 Speaker 1: And then I mean it's pretty nasty, the pus filled lesions. 84 00:04:45,480 --> 00:04:48,359 Speaker 1: And every way this is spread is through both respiratory 85 00:04:48,400 --> 00:04:52,640 Speaker 1: droplets with close very close proximity face to face respiratory droplets, 86 00:04:52,640 --> 00:04:56,920 Speaker 1: but also direct contact with the lesions that have virus 87 00:04:57,040 --> 00:04:59,400 Speaker 1: in them. So gross. That's a doctor at Mass General. 88 00:04:59,600 --> 00:05:02,120 Speaker 1: So the the pus filled lesions, I mean, doctor pimple 89 00:05:02,160 --> 00:05:06,000 Speaker 1: Popper would love this. The pus comes out that then 90 00:05:06,120 --> 00:05:09,400 Speaker 1: spreads it. It can be through sexual activity and bodily 91 00:05:09,440 --> 00:05:14,800 Speaker 1: fluids or through you mean, if you have lesions down south, 92 00:05:15,600 --> 00:05:18,120 Speaker 1: well there is that, but also bodily fluids. If you 93 00:05:18,160 --> 00:05:20,640 Speaker 1: don't have the lesions yet, it begins for a while 94 00:05:20,720 --> 00:05:26,800 Speaker 1: before you get the lesions. Also, you know, so fever, 95 00:05:26,920 --> 00:05:30,920 Speaker 1: body ache in large lymph nodes. One form of monkeypox 96 00:05:31,279 --> 00:05:34,000 Speaker 1: is pretty deadly. About ten percent of people die. They 97 00:05:34,080 --> 00:05:38,680 Speaker 1: think this one is a milder form that around one percent, 98 00:05:38,760 --> 00:05:42,560 Speaker 1: but nobody has in this outbreak m died yet around 99 00:05:42,600 --> 00:05:46,719 Speaker 1: the globe. So usually about a month to resolve they're 100 00:05:46,760 --> 00:05:49,840 Speaker 1: they're looking at it. CDC says they're trying to monitor 101 00:05:49,839 --> 00:05:53,400 Speaker 1: for anybody else. Smallpox vaccine does actually help, but most 102 00:05:53,440 --> 00:05:57,240 Speaker 1: of us don't get that anymore because it was eradicated, 103 00:05:57,320 --> 00:05:59,720 Speaker 1: so not a lot of Americans have that. But it 104 00:05:59,760 --> 00:06:03,200 Speaker 1: does help. There is we know what this is. This 105 00:06:03,279 --> 00:06:06,760 Speaker 1: is not novel coronavirus. We know the background on it, 106 00:06:06,960 --> 00:06:10,240 Speaker 1: um the medications that can help out. The UK now 107 00:06:10,279 --> 00:06:15,560 Speaker 1: said to be stockpiling some smallpox vaccine and medication that 108 00:06:15,960 --> 00:06:19,600 Speaker 1: it approved in twenty thirteen, so that in case they 109 00:06:19,680 --> 00:06:21,640 Speaker 1: need it. That they're getting ramped up with it. But 110 00:06:22,279 --> 00:06:25,600 Speaker 1: doctors are saying this doesn't spread like covid, It is 111 00:06:25,640 --> 00:06:29,840 Speaker 1: not that contagious um. They think will be fine, not 112 00:06:30,000 --> 00:06:33,839 Speaker 1: like that. I don't know. I don't believe anybody anymore. Yeah, 113 00:06:33,960 --> 00:06:35,919 Speaker 1: I mean, who knows. It does kind of feel like, 114 00:06:36,200 --> 00:06:37,880 Speaker 1: you know, the early days when they went, well, we've 115 00:06:37,920 --> 00:06:41,040 Speaker 1: isolated them, we'll be fine. Right, they're confident monkey pox. 116 00:06:41,520 --> 00:06:44,560 Speaker 1: I got a story it says it's it's it cropped 117 00:06:44,600 --> 00:06:47,839 Speaker 1: up in the nineteen fifties among monkeys kept for research. 118 00:06:48,279 --> 00:06:51,480 Speaker 1: Is this another experiment that went awry? We don't know. 119 00:06:51,640 --> 00:06:53,360 Speaker 1: Going back all the way to then. But but yeah, 120 00:06:53,400 --> 00:06:55,280 Speaker 1: this and now people are saying this isn't fair to 121 00:06:55,320 --> 00:06:58,280 Speaker 1: the monkeys. It has nothing to do with them. But 122 00:06:58,480 --> 00:07:01,040 Speaker 1: this is this is rodent. In fact, we'll wait you 123 00:07:01,160 --> 00:07:04,159 Speaker 1: CSF you see San Francisco doctor Peter tin Hang. He says, 124 00:07:04,160 --> 00:07:06,160 Speaker 1: give it a better name. Monkey box is a relative 125 00:07:06,200 --> 00:07:11,680 Speaker 1: of smallpox. Is primarily associated with rodents in Central and 126 00:07:11,840 --> 00:07:15,200 Speaker 1: West Africa, so it should i should be called rodent pox. 127 00:07:15,320 --> 00:07:18,480 Speaker 1: So it's really rodent box. It's like a fun guy. Yeah, 128 00:07:18,680 --> 00:07:20,200 Speaker 1: the monkeys aren't going to give it to you. But 129 00:07:20,280 --> 00:07:23,280 Speaker 1: that rat that bites you, watch out for him, or 130 00:07:23,320 --> 00:07:26,200 Speaker 1: that prairie dog apparently, or that person that sneezes all 131 00:07:26,200 --> 00:07:29,240 Speaker 1: over you yea, or or if you're you know, touching 132 00:07:29,240 --> 00:07:32,280 Speaker 1: somebody's leading. Thank you, Alex, You're completely grossed to say, 133 00:07:32,920 --> 00:07:38,480 Speaker 1: there you go. Would you like to rub my lesions? Lesions? 134 00:07:39,240 --> 00:07:44,960 Speaker 1: Alex Stone, ABC News for KFI uh deverhead people sneezing 135 00:07:45,000 --> 00:07:46,760 Speaker 1: all over on the plane. Oh, I'm sure I'm gonna 136 00:07:46,760 --> 00:07:48,760 Speaker 1: be sick any day now. You wore your little mask. 137 00:07:48,960 --> 00:07:51,840 Speaker 1: I wore my mask on the plane, but hardly anybody 138 00:07:51,880 --> 00:07:54,320 Speaker 1: else did. And there were two people in front of 139 00:07:54,360 --> 00:07:57,200 Speaker 1: me and they for the four hours that I went 140 00:07:57,240 --> 00:08:02,400 Speaker 1: from Lax to Cancoon Airport. I'm not kidding you, yea. 141 00:08:03,000 --> 00:08:04,840 Speaker 1: And they were not wearing a mask. And then the 142 00:08:04,880 --> 00:08:07,520 Speaker 1: same situation happened on the way home, but the two 143 00:08:07,560 --> 00:08:10,040 Speaker 1: people were in back of me, same thing, weren't wearing 144 00:08:10,080 --> 00:08:12,960 Speaker 1: a mask, and they were coffin and hacking. I hope 145 00:08:13,000 --> 00:08:16,360 Speaker 1: they don't have monkey pox. I hope not. You may 146 00:08:16,400 --> 00:08:18,240 Speaker 1: have the monkey pox. Well then I'm going to spread 147 00:08:18,240 --> 00:08:23,120 Speaker 1: it to you. Thanks. Why are people so gross? You're 148 00:08:23,160 --> 00:08:26,960 Speaker 1: probably you're probably coated in all those viral spores. Well, 149 00:08:27,000 --> 00:08:30,200 Speaker 1: I was wearing a mask. That's not going to stop it, though, 150 00:08:30,280 --> 00:08:32,400 Speaker 1: And I had my hand. I was pushing the mask 151 00:08:32,559 --> 00:08:38,200 Speaker 1: up against my face. I was I don't want nothing 152 00:08:38,280 --> 00:08:44,320 Speaker 1: gets in yours. They are disgusting and rude. I'm telling you, 153 00:08:44,400 --> 00:08:47,120 Speaker 1: just go on an airplane and you will just find 154 00:08:47,240 --> 00:08:54,000 Speaker 1: the rudest, most obnoxious, disgusting people ever. Shades of the 155 00:08:54,400 --> 00:08:58,880 Speaker 1: AIDS outbreak, they're actually monitoring a number of gay bisexual 156 00:08:58,920 --> 00:09:01,000 Speaker 1: men in the United king them where the most recent 157 00:09:01,000 --> 00:09:05,480 Speaker 1: outbreak is coming from gay sex. About that? Where did 158 00:09:05,480 --> 00:09:08,600 Speaker 1: they get the monkey box? That's the bodily fluids? What's 159 00:09:08,600 --> 00:09:14,360 Speaker 1: that yeah, I guess again, it's not that it shows openly. 160 00:09:14,520 --> 00:09:16,400 Speaker 1: I know. This is like the joke is though it's 161 00:09:16,400 --> 00:09:18,520 Speaker 1: cold COVID. That's what we said at the beginning of COVID, 162 00:09:18,559 --> 00:09:21,120 Speaker 1: and it shows up all of your body. Though whenever 163 00:09:21,160 --> 00:09:27,000 Speaker 1: you get chicken pox, monkey box, yeah, box. Vaccine wanes 164 00:09:27,040 --> 00:09:30,320 Speaker 1: over time and a lot of people have not gotten it, 165 00:09:30,400 --> 00:09:35,559 Speaker 1: so the pox viruses can slip past the waning protections, 166 00:09:35,600 --> 00:09:40,319 Speaker 1: just like the Chinese lab experiment that sent COVID out 167 00:09:40,320 --> 00:09:43,240 Speaker 1: into the world. What what's this monkey experiment in the 168 00:09:43,320 --> 00:09:46,560 Speaker 1: nineteen fifties? What happened there? What were they doing that? 169 00:09:46,679 --> 00:09:49,040 Speaker 1: They feed small pox into the monkeys to see what 170 00:09:49,080 --> 00:09:52,760 Speaker 1: would happen, and it mutated and jumped out. Good theory. 171 00:09:52,800 --> 00:09:54,360 Speaker 1: All right, we got more coming out, John and Ken 172 00:09:54,400 --> 00:09:58,680 Speaker 1: show Cafi the contagious Never Mark, I'm gonna come and 173 00:09:58,679 --> 00:10:03,560 Speaker 1: blow my nose on you. Well, Hey, the voice lines tomorrow. 174 00:10:03,600 --> 00:10:06,600 Speaker 1: Did you know that? John, I didn't know tomorrow was time. 175 00:10:06,600 --> 00:10:08,640 Speaker 1: We're happy to bring it back after two weeks since 176 00:10:08,640 --> 00:10:10,800 Speaker 1: you and I both went to see Paul McCartney. That's right, 177 00:10:12,559 --> 00:10:15,439 Speaker 1: one eight seven seven voice he said away messages. I 178 00:10:15,480 --> 00:10:17,440 Speaker 1: couldn't get it out of my head for the first 179 00:10:17,520 --> 00:10:21,160 Speaker 1: ten minutes watching him that he's older than Joe Biden. 180 00:10:22,000 --> 00:10:24,440 Speaker 1: I couldn't even concentrate on the songs. I just was 181 00:10:24,480 --> 00:10:27,040 Speaker 1: watching him up there playing the guitar, singing, and I go, 182 00:10:27,320 --> 00:10:33,559 Speaker 1: he's older than Joe Biden. How uh in the he 183 00:10:33,600 --> 00:10:36,720 Speaker 1: looks good? Yeah, No, he's thin, you know, he's he 184 00:10:36,800 --> 00:10:43,040 Speaker 1: seems fit. I know, I know that's I'm I'm having 185 00:10:43,080 --> 00:10:46,480 Speaker 1: a reckoning with my diet, speaking of which we're going 186 00:10:46,520 --> 00:10:50,840 Speaker 1: to talk about something related to that in a moment. Uh. 187 00:10:50,880 --> 00:10:55,480 Speaker 1: The La County, Oh man, everybody's worst nightmare. This doctor 188 00:10:55,520 --> 00:10:59,520 Speaker 1: Barbara Ferrere, she won't go away. They're out there once again, concerned. 189 00:11:00,400 --> 00:11:03,680 Speaker 1: The word is concerned about a rising number of COVID 190 00:11:03,720 --> 00:11:08,760 Speaker 1: cases and hospitalizations. But when you dig into the story, 191 00:11:09,440 --> 00:11:13,199 Speaker 1: as if yesterday the number of coronavirus positive patients hospitalized 192 00:11:13,320 --> 00:11:18,679 Speaker 1: county wide was three seventy nine, significantly lower than other 193 00:11:18,720 --> 00:11:22,400 Speaker 1: points in the pandemic, but it jumped by forty two 194 00:11:22,400 --> 00:11:26,520 Speaker 1: percent in the last week. However, many of the patients 195 00:11:26,840 --> 00:11:29,679 Speaker 1: were not hospitalized for COVID. It's another thing you need 196 00:11:29,720 --> 00:11:31,600 Speaker 1: to know. No, these are people that went in for 197 00:11:31,640 --> 00:11:33,800 Speaker 1: a heart attack or a stroke or some other medical 198 00:11:33,920 --> 00:11:36,080 Speaker 1: that was a fake story. Together, they got tested and 199 00:11:36,120 --> 00:11:39,400 Speaker 1: they are positive for corona. And it's like, oh, hospitalizations 200 00:11:39,400 --> 00:11:42,240 Speaker 1: are up. Fake story to get clicks on the internet, 201 00:11:42,559 --> 00:11:46,120 Speaker 1: not a real story. I'm just you write now I'm 202 00:11:46,120 --> 00:11:48,040 Speaker 1: starting to enjoy my life again. I don't want to 203 00:11:48,040 --> 00:11:51,679 Speaker 1: go back to indoor masking. Just no, just just say no. 204 00:11:51,720 --> 00:11:53,840 Speaker 1: I know you just say no. What what would be 205 00:11:53,880 --> 00:11:56,320 Speaker 1: so terrible if we are drug campaign of the eighties, 206 00:11:56,320 --> 00:11:58,320 Speaker 1: we would be so terrible if we all just said 207 00:11:58,440 --> 00:12:00,880 Speaker 1: f you. Then what what well I did at the 208 00:12:00,920 --> 00:12:03,679 Speaker 1: football game. I'm gonna just start day. Yeah, so far 209 00:12:03,840 --> 00:12:05,760 Speaker 1: with during the time where the outdoor events you were 210 00:12:05,760 --> 00:12:08,200 Speaker 1: in large But then I did not mask. At least 211 00:12:08,240 --> 00:12:10,319 Speaker 1: you held your breath the whole time though it was 212 00:12:10,360 --> 00:12:16,559 Speaker 1: a long ninety percent of me. That's that's good. I 213 00:12:16,600 --> 00:12:19,199 Speaker 1: did hold my breath the entire four hour game. You 214 00:12:19,320 --> 00:12:22,840 Speaker 1: were a little blue at the end, but held out. 215 00:12:23,920 --> 00:12:26,680 Speaker 1: There's a story we told you about bird flew and 216 00:12:27,160 --> 00:12:31,319 Speaker 1: to Deborah mark sadness. They've had to cull many laying 217 00:12:31,520 --> 00:12:35,680 Speaker 1: egg laying hens. Call it's another word for kill. It's 218 00:12:35,720 --> 00:12:42,040 Speaker 1: a softer call gas cook right, strangle, imagine have to 219 00:12:42,040 --> 00:12:44,440 Speaker 1: go around a strangle every chicken take a while. Yeah, 220 00:12:44,480 --> 00:12:51,000 Speaker 1: I would countless boys listen to them. This has been 221 00:12:51,000 --> 00:12:53,400 Speaker 1: a building a cavalier about this. He's had nobody to 222 00:12:53,400 --> 00:12:55,319 Speaker 1: torture for a week. I know. So he's trying to 223 00:12:55,360 --> 00:12:58,680 Speaker 1: come up with every synonym for killing an animal. But 224 00:12:58,960 --> 00:13:02,400 Speaker 1: neither one of you got my dirty joke? Did you? What? What? 225 00:13:02,400 --> 00:13:06,480 Speaker 1: What did I say? I can't be again. I'm not 226 00:13:06,480 --> 00:13:09,120 Speaker 1: gonna say jokes go way over my head. We know that, 227 00:13:09,160 --> 00:13:11,800 Speaker 1: but but I'm not going to There'll be a few 228 00:13:11,800 --> 00:13:17,120 Speaker 1: listeners who got it. You two are slow. The story 229 00:13:17,240 --> 00:13:20,760 Speaker 1: here is that the spreading on the internet are conspiracy 230 00:13:20,800 --> 00:13:25,400 Speaker 1: theories that the bird flu is not real, and some 231 00:13:25,600 --> 00:13:27,880 Speaker 1: are pushing the idea that the government is trying to 232 00:13:27,880 --> 00:13:32,079 Speaker 1: push us towards vegetarianism by making us believe that birds 233 00:13:32,240 --> 00:13:37,920 Speaker 1: eggs bad because they had the flu. Right, yeah, yeah, 234 00:13:37,960 --> 00:13:40,760 Speaker 1: that could be Others believe it's another attempt to move 235 00:13:40,840 --> 00:13:44,839 Speaker 1: us back to lockdowns, a new round of COVID style lockdowns. 236 00:13:45,520 --> 00:13:48,800 Speaker 1: That could be true. Another version is blaming five G 237 00:13:49,000 --> 00:13:53,200 Speaker 1: cell towers never goes away, does it? That's a perennial 238 00:13:55,559 --> 00:13:58,520 Speaker 1: and as evidence, people are saying, oh, they're testing the 239 00:13:58,559 --> 00:14:01,520 Speaker 1: animals for bird flu with peace CR test. That's what 240 00:14:01,559 --> 00:14:04,160 Speaker 1: they did for COVID. That tells you there's a connection 241 00:14:05,160 --> 00:14:08,680 Speaker 1: wherever PCR tests have been used routinely since the nineteen nineties. 242 00:14:08,760 --> 00:14:13,920 Speaker 1: And yeah, that's that's the that's the scourge of the 243 00:14:13,960 --> 00:14:17,600 Speaker 1: internet is we found out just how many mental patients 244 00:14:17,600 --> 00:14:20,240 Speaker 1: there are, and there are millions of them, millions of them. 245 00:14:21,200 --> 00:14:24,960 Speaker 1: And then they get they get their way too much attention. Oh, 246 00:14:25,040 --> 00:14:28,680 Speaker 1: the disease is killing bald eagles. Oh that's too bad. 247 00:14:29,840 --> 00:14:34,440 Speaker 1: Uh they are They've called millions of birds aroughout the 248 00:14:34,480 --> 00:14:38,320 Speaker 1: country to try to prevent this from spreading. The other thing, too, 249 00:14:38,400 --> 00:14:40,600 Speaker 1: is the bird flu is not knew. They've had had 250 00:14:40,600 --> 00:14:43,080 Speaker 1: a round to this in twenty fifteen that was pretty severe. 251 00:14:43,720 --> 00:14:47,320 Speaker 1: So the idiots that they're trying to spread the idea 252 00:14:47,360 --> 00:14:50,560 Speaker 1: that this is fake. I mean what I mean what 253 00:14:50,720 --> 00:14:55,720 Speaker 1: happened in the old days before we tracked birds and 254 00:14:55,760 --> 00:14:58,840 Speaker 1: their viruses. I mean, the bird flu must have gone 255 00:14:59,000 --> 00:15:02,520 Speaker 1: around the world a million times already, right, and killed 256 00:15:02,560 --> 00:15:05,320 Speaker 1: the trillions of birds. It just does. That's just part 257 00:15:05,360 --> 00:15:09,280 Speaker 1: of nature. Yeah, there's a fitting out of the herd 258 00:15:09,920 --> 00:15:13,840 Speaker 1: and then you have a few years where everything's okay, 259 00:15:13,880 --> 00:15:16,480 Speaker 1: and then you get another another wave. I just you 260 00:15:16,520 --> 00:15:18,760 Speaker 1: know the thing is, because we can track stuff now, 261 00:15:19,120 --> 00:15:22,320 Speaker 1: it turns what was normal and what's gone on forever 262 00:15:22,840 --> 00:15:27,400 Speaker 1: into hysteria. Well, of course there's the virus is going 263 00:15:27,440 --> 00:15:30,600 Speaker 1: to spread through the birds. It killed millions of them. 264 00:15:30,640 --> 00:15:33,480 Speaker 1: That's what it always did. I look at all the 265 00:15:33,520 --> 00:15:36,600 Speaker 1: species that went extinct before we even showed up. Just 266 00:15:36,840 --> 00:15:40,480 Speaker 1: people even saying that the flu is real, but it 267 00:15:40,520 --> 00:15:45,400 Speaker 1: was genetically engineered as a weapon. I just, well, who 268 00:15:45,440 --> 00:15:49,600 Speaker 1: were we using it on again? Bird flu is not new. No, 269 00:15:49,880 --> 00:15:53,720 Speaker 1: it's been around since the history of birds. Probably flying 270 00:15:53,800 --> 00:15:57,320 Speaker 1: terro dactyls got bird flu too. Well, you know, all 271 00:15:57,360 --> 00:16:01,320 Speaker 1: this stuff that we hyperventilate about is heart of the 272 00:16:01,360 --> 00:16:05,960 Speaker 1: eternal life force of the earth. Like people are howling 273 00:16:06,000 --> 00:16:09,600 Speaker 1: about the drought, or they howl about hurricanes or whatever. 274 00:16:09,680 --> 00:16:13,080 Speaker 1: The hysteria is of the moment. It's always been this 275 00:16:13,160 --> 00:16:17,720 Speaker 1: way forever since the Earth was formed, and it was 276 00:16:17,720 --> 00:16:21,560 Speaker 1: always a lot worse. I mean, we all act like 277 00:16:21,600 --> 00:16:24,440 Speaker 1: we just discovered all this stuff or all this stuff 278 00:16:24,520 --> 00:16:28,560 Speaker 1: just changed now all of a sudden. Now we get droughts, 279 00:16:28,600 --> 00:16:31,200 Speaker 1: we get heat waves, we get hurricanes, we get this 280 00:16:31,280 --> 00:16:35,880 Speaker 1: and that earthquakes whatever, it's always been like that, I 281 00:16:35,880 --> 00:16:38,600 Speaker 1: don't understand. Just we'll just read about it because it 282 00:16:38,600 --> 00:16:41,520 Speaker 1: goes back millions and millions of years. All right, we 283 00:16:41,600 --> 00:16:44,000 Speaker 1: got more coming up, John and Ken. You know, the 284 00:16:44,000 --> 00:16:46,120 Speaker 1: truth is, we don't have that much to be scared of. 285 00:16:46,800 --> 00:16:50,600 Speaker 1: But a we have a wiring system in our brains 286 00:16:51,440 --> 00:16:54,320 Speaker 1: dating back to when we were primitive cave people, and 287 00:16:54,360 --> 00:16:56,800 Speaker 1: they had a lot of things to be worried about then, right, 288 00:16:57,400 --> 00:17:02,640 Speaker 1: so they developed a highly sensitive system to detect any 289 00:17:02,720 --> 00:17:07,840 Speaker 1: kind of possible danger. And now we're sitting in a 290 00:17:07,960 --> 00:17:11,520 Speaker 1: modern world where there's very little danger comparatively, but our 291 00:17:11,560 --> 00:17:15,159 Speaker 1: system still exists, so it goes into hyperdrive over the 292 00:17:15,200 --> 00:17:18,040 Speaker 1: slightest little thing. Yeah, he would like to be the 293 00:17:18,080 --> 00:17:21,920 Speaker 1: next California State Controller. Land he Chen will join us 294 00:17:21,960 --> 00:17:24,760 Speaker 1: after the news at five o'clock. He is a Republican 295 00:17:25,480 --> 00:17:27,800 Speaker 1: on your ballot, although he says he has served under 296 00:17:27,840 --> 00:17:32,800 Speaker 1: both Democratic and Republican presidents in numerous positions. He's got 297 00:17:32,800 --> 00:17:36,120 Speaker 1: a business background. He will talk to us. One thing 298 00:17:36,760 --> 00:17:40,919 Speaker 1: I see in his message in the voter statements or 299 00:17:40,920 --> 00:17:43,879 Speaker 1: the ballot statements that came, is that he wants to 300 00:17:43,920 --> 00:17:46,439 Speaker 1: do more to get a detailed a counting for the 301 00:17:46,680 --> 00:17:50,080 Speaker 1: three hundred billion dollars in checks our state rights every year. 302 00:17:51,240 --> 00:17:54,960 Speaker 1: Hundred billion dollars. Yeah, that's actually the total budget, the 303 00:17:55,000 --> 00:17:58,160 Speaker 1: total spending. Now the upcoming budget is three got a billion, right, Yeah, 304 00:17:58,240 --> 00:18:01,200 Speaker 1: it's it's not only the tax money that comes in, 305 00:18:01,280 --> 00:18:04,680 Speaker 1: but federal money. There's all these revenue sources and it 306 00:18:04,880 --> 00:18:08,479 Speaker 1: totals up to three hundred billion dollars. And he cites 307 00:18:08,520 --> 00:18:13,080 Speaker 1: the homeless spending billion spent with dismal results. So well, 308 00:18:13,200 --> 00:18:15,719 Speaker 1: you know that's the thing, and that's a good thing 309 00:18:15,720 --> 00:18:19,159 Speaker 1: to question him on. Is that is that all these 310 00:18:19,400 --> 00:18:23,080 Speaker 1: vague announcements, Well it was better another twenty two billion 311 00:18:23,119 --> 00:18:27,119 Speaker 1: dollars than the homeless. What's it gone for? It doesn't work? 312 00:18:27,280 --> 00:18:30,560 Speaker 1: All their money spending doesn't work, Their programs don't work, 313 00:18:30,800 --> 00:18:33,359 Speaker 1: and how do we how can we measure this and 314 00:18:33,400 --> 00:18:37,080 Speaker 1: how can we stop it? Stop all the stuff that 315 00:18:37,160 --> 00:18:39,760 Speaker 1: doesn't work. So much of what the government does is 316 00:18:39,800 --> 00:18:42,040 Speaker 1: a failure. And you can see it with your own eyes. 317 00:18:42,200 --> 00:18:44,320 Speaker 1: You don't need an audit, you just walk the streets. 318 00:18:44,320 --> 00:18:49,480 Speaker 1: It's wow, that failed badly, didn't it? From DC Land 319 00:18:49,480 --> 00:18:55,440 Speaker 1: and Biden Land, President Biden's approval reading among Hispanic Americans 320 00:18:56,359 --> 00:18:59,199 Speaker 1: is twenty six percent, and the significance of that is 321 00:18:59,200 --> 00:19:04,200 Speaker 1: that last year year it was fifty five percent. He 322 00:19:04,440 --> 00:19:09,480 Speaker 1: is less popular among Latinos or Hispanics than any other demographic, 323 00:19:09,520 --> 00:19:14,639 Speaker 1: including age and gender, according to this Quinnipiac pole. Well, 324 00:19:14,680 --> 00:19:18,600 Speaker 1: I want kind of startling because that's generally a place 325 00:19:18,600 --> 00:19:24,680 Speaker 1: where Democrats find approval, except this is different. I think 326 00:19:24,760 --> 00:19:27,959 Speaker 1: this is my opinion. There's a lot of hardcore Democrats 327 00:19:28,000 --> 00:19:30,480 Speaker 1: that grew up in this country, lived in this country, right, 328 00:19:31,000 --> 00:19:33,080 Speaker 1: you know, for decades and decades, and they've always been 329 00:19:33,119 --> 00:19:35,520 Speaker 1: a Democrat, right, and the very partisan and very loyal 330 00:19:35,880 --> 00:19:38,240 Speaker 1: to the point where they won't answer a poll. Honestly. 331 00:19:39,000 --> 00:19:46,120 Speaker 1: A lot of Hispanic Americans are immigrants. They're citizens, but 332 00:19:46,440 --> 00:19:50,159 Speaker 1: they don't they don't necessarily have democratic roots that go 333 00:19:50,200 --> 00:19:53,920 Speaker 1: back generations in their family or themselves. So they come 334 00:19:53,960 --> 00:19:57,080 Speaker 1: here and this is their new country, and they know 335 00:19:57,200 --> 00:19:59,840 Speaker 1: why they wanted to come to America, and they know 336 00:20:00,119 --> 00:20:02,920 Speaker 1: what they wanted to leave, and what they generally want 337 00:20:02,960 --> 00:20:09,440 Speaker 1: to leave, especially you come from Mexico, is oppressive, incompetent government, socialism, 338 00:20:10,640 --> 00:20:13,720 Speaker 1: you know, nanny states. That's what much of the rest 339 00:20:13,760 --> 00:20:16,040 Speaker 1: of the world is like and they see that the 340 00:20:16,080 --> 00:20:19,400 Speaker 1: Democratic Party has veered so far to the left with 341 00:20:19,440 --> 00:20:23,800 Speaker 1: their socialist nanny states, everybody telling you what to do that. 342 00:20:24,119 --> 00:20:27,439 Speaker 1: It's like, no, no, no no, I left my country to 343 00:20:27,480 --> 00:20:30,320 Speaker 1: get away from this. I don't like this. So they 344 00:20:30,320 --> 00:20:33,440 Speaker 1: don't feel so loyal and partisan. And it's like, hey, 345 00:20:33,440 --> 00:20:35,480 Speaker 1: do you like the president his policies. It's like no, 346 00:20:36,280 --> 00:20:39,840 Speaker 1: it's thanks, yeah, I think it's simple. Like inflation is 347 00:20:39,880 --> 00:20:42,040 Speaker 1: probably driving them crazy. They don't like what's going on 348 00:20:42,080 --> 00:20:45,359 Speaker 1: with the gas prices, to the everyday things that people 349 00:20:45,400 --> 00:20:49,960 Speaker 1: respond to. And culturally they're they're largely conservative. They don't 350 00:20:49,960 --> 00:20:53,800 Speaker 1: want to deal with all the woke issues they they 351 00:20:54,000 --> 00:20:56,360 Speaker 1: I think that was undercover for years. In other words, 352 00:20:56,400 --> 00:20:59,040 Speaker 1: they would vote Democrat because those issues weren't always out front, 353 00:20:59,080 --> 00:21:01,920 Speaker 1: But no, they are now. They're being shoved down their 354 00:21:01,920 --> 00:21:07,000 Speaker 1: throats every day. You know, all these sexuality issues. They 355 00:21:07,000 --> 00:21:10,399 Speaker 1: don't hear about that. They go to church, they believe 356 00:21:10,440 --> 00:21:12,240 Speaker 1: in the church, they believe in God, they believe in 357 00:21:12,240 --> 00:21:16,320 Speaker 1: the you know, the Catholic religion. None of this really flies. 358 00:21:16,520 --> 00:21:20,080 Speaker 1: They don't really want to hear about abortion. That's something 359 00:21:20,160 --> 00:21:23,840 Speaker 1: that you know, you should just not bring up at best. 360 00:21:24,280 --> 00:21:27,560 Speaker 1: But I mean, look at this white men twenty nine 361 00:21:27,600 --> 00:21:31,840 Speaker 1: percent approval rating, Hispanics twenty six percent. Young people. Everybody 362 00:21:31,880 --> 00:21:35,840 Speaker 1: thinks that young Americans are very progressive. In the twenty 363 00:21:36,000 --> 00:21:40,520 Speaker 1: seven percent approval ratings could be ugly in November. I mean, 364 00:21:41,160 --> 00:21:43,200 Speaker 1: nobody can't vote Biden out, but they can try ascend 365 00:21:43,240 --> 00:21:46,040 Speaker 1: a message with Congress. Out of all the demographics, like 366 00:21:46,359 --> 00:21:53,280 Speaker 1: all of them, only Black Americans give him a positive 367 00:21:53,320 --> 00:21:56,760 Speaker 1: approval rating at sixty three. Then that's where he got 368 00:21:56,760 --> 00:21:59,680 Speaker 1: his campaign going, right when he won the South Carolina primary, 369 00:21:59,760 --> 00:22:02,480 Speaker 1: largely with a big voter turnout from black people. That 370 00:22:02,600 --> 00:22:06,600 Speaker 1: propelled him to win the nomination. But still remember that right, well, 371 00:22:07,040 --> 00:22:09,879 Speaker 1: he was he had left for dead. I remember us 372 00:22:09,920 --> 00:22:13,240 Speaker 1: laughing about him. He had the Obama connection. And sixty 373 00:22:13,280 --> 00:22:17,720 Speaker 1: three percent is extremely low for an approval rating from 374 00:22:17,760 --> 00:22:22,399 Speaker 1: blacks for detic president. Yeah, I mean Obama. Obama's like 375 00:22:22,480 --> 00:22:24,920 Speaker 1: nineties something, yeah, but Obama really was in the nineties. 376 00:22:25,359 --> 00:22:28,520 Speaker 1: So sixty three percent among blacks is like having twenty 377 00:22:28,520 --> 00:22:32,879 Speaker 1: five percent among everybody else. Well, for the sake of 378 00:22:33,160 --> 00:22:37,600 Speaker 1: driving John crazy, although we're gonna play you another clip 379 00:22:37,680 --> 00:22:40,919 Speaker 1: on abortion only because This is both funny and weird. 380 00:22:41,920 --> 00:22:44,959 Speaker 1: I actually understand both sides. That may be hard to believe, 381 00:22:45,240 --> 00:22:47,800 Speaker 1: you will not. It was a hearing of the House 382 00:22:47,880 --> 00:22:53,439 Speaker 1: Judiciary Committee. The topic was abortion access and care. The 383 00:22:53,440 --> 00:22:57,040 Speaker 1: two people involved here are Congressman Dan Bishop, a Republican 384 00:22:57,080 --> 00:22:59,920 Speaker 1: from North Carolina, and a woman by the name of 385 00:23:00,200 --> 00:23:05,880 Speaker 1: Amy arum Bide, executive director of a nonprofit called a Vow, 386 00:23:06,000 --> 00:23:11,200 Speaker 1: which is an abortion rights group, and he was asking 387 00:23:11,200 --> 00:23:15,800 Speaker 1: her about the definition of a woman, and then it 388 00:23:15,880 --> 00:23:19,600 Speaker 1: led to a question about who has abortions. We have 389 00:23:19,640 --> 00:23:23,000 Speaker 1: a small bit of the exchange between these two. Um, 390 00:23:23,680 --> 00:23:27,320 Speaker 1: what do you say a woman is. I believe that 391 00:23:27,400 --> 00:23:33,520 Speaker 1: everyone can identify for themselves. Um. Okay. Do you believe 392 00:23:33,520 --> 00:23:43,560 Speaker 1: then that men can become pregnant and have abortions? Yes? Yes, 393 00:23:45,760 --> 00:23:51,439 Speaker 1: uh no, if you come from a philosophy, okay, that 394 00:23:51,640 --> 00:23:54,280 Speaker 1: you can be anything you want to be. Well, yes, 395 00:23:54,359 --> 00:23:58,119 Speaker 1: men can get pregnant, have abortions. Well, they may have 396 00:23:58,200 --> 00:24:01,320 Speaker 1: female parts, but they identify as men. Look, I can 397 00:24:01,359 --> 00:24:03,959 Speaker 1: identify as it could be respectful, you will refer to 398 00:24:04,000 --> 00:24:07,080 Speaker 1: them as male. I can identify as a goat. That 399 00:24:07,119 --> 00:24:10,600 Speaker 1: doesn't make me a goat. In one of the stories, 400 00:24:10,880 --> 00:24:14,919 Speaker 1: they actually use the definition in the dictionary and the 401 00:24:14,960 --> 00:24:19,920 Speaker 1: scientific explanation. And here's this ends the conversation. A female 402 00:24:20,000 --> 00:24:25,360 Speaker 1: has xx chromosomes, men have x Y chromosome. Well you're 403 00:24:25,359 --> 00:24:29,760 Speaker 1: talking purely biological, yes, more correct? Yes, well talking about 404 00:24:29,800 --> 00:24:34,160 Speaker 1: the real world of humans an interaction, Well that doesn't matter. 405 00:24:34,800 --> 00:24:37,720 Speaker 1: It's it's what you are biologically at birth is what 406 00:24:37,880 --> 00:24:42,000 Speaker 1: you are. You're either an XX or an xy other 407 00:24:42,119 --> 00:24:44,320 Speaker 1: if you had an X Y you can walk around 408 00:24:44,320 --> 00:24:48,359 Speaker 1: and call yourself a chicken. You can, but it doesn't 409 00:24:48,400 --> 00:24:51,080 Speaker 1: make you that. I'll quote you. I don't care. No, wait, 410 00:24:51,160 --> 00:24:53,600 Speaker 1: I don't care either. I don't care. But people be 411 00:24:53,760 --> 00:24:55,760 Speaker 1: what they want to be. But I'm not gonna I'm 412 00:24:55,800 --> 00:24:59,439 Speaker 1: not going to participate in the delusion. You're participate in 413 00:24:59,480 --> 00:25:02,080 Speaker 1: the delusion. Yes, I don't know what that means, but 414 00:25:02,119 --> 00:25:05,679 Speaker 1: it's a nice phrase. It means you can make something 415 00:25:05,800 --> 00:25:09,600 Speaker 1: up and identify as it and proclaim it. But it 416 00:25:09,640 --> 00:25:12,280 Speaker 1: doesn't mean I have to buy it and agree with you. 417 00:25:13,440 --> 00:25:16,560 Speaker 1: It doesn't mean I have to care. It doesn't mean 418 00:25:16,600 --> 00:25:19,720 Speaker 1: that I'm going to give in to whatever. I don't care. 419 00:25:19,920 --> 00:25:22,720 Speaker 1: They can call themselves whatever they want, and but I 420 00:25:22,760 --> 00:25:25,679 Speaker 1: don't have to buy it. Well, but it's exactly you 421 00:25:25,720 --> 00:25:27,479 Speaker 1: don't have to care. But at the same time I'm 422 00:25:27,520 --> 00:25:29,600 Speaker 1: talking we're all just caught up in the semantics of this. 423 00:25:29,640 --> 00:25:32,680 Speaker 1: It's ridiculous. No, it's not. I don't think it's ridiculous 424 00:25:33,280 --> 00:25:37,119 Speaker 1: because then you have men running in women's uh you know, 425 00:25:37,160 --> 00:25:41,680 Speaker 1: college track meets and no man. Yeah, I'm talking about 426 00:25:41,720 --> 00:25:44,880 Speaker 1: the locker rooms too, and the spas. Yeah, you can't 427 00:25:44,920 --> 00:25:46,600 Speaker 1: go in there with the penis. If this women is well, 428 00:25:46,640 --> 00:25:49,280 Speaker 1: that that people who identify women, that's what are people 429 00:25:49,280 --> 00:25:51,560 Speaker 1: who have parts? Yeah, but you have to stick with 430 00:25:51,600 --> 00:25:54,199 Speaker 1: the same parts, right exactly. And because it's too much 431 00:25:54,240 --> 00:25:56,280 Speaker 1: of an intrusion on privacy, I'm gonna write about the 432 00:25:56,280 --> 00:25:58,560 Speaker 1: athletes too. Yeah, I'm gonna go with the chromosome test. 433 00:25:59,280 --> 00:26:02,920 Speaker 1: I think that's set. Maybe you should have one who 434 00:26:02,960 --> 00:26:05,560 Speaker 1: knows what you'd find in my crime X wise and 435 00:26:05,680 --> 00:26:11,159 Speaker 1: Z you're zz and yeah, I have an R all right, 436 00:26:11,160 --> 00:26:14,199 Speaker 1: we got more cops, John and Ken show. All right, 437 00:26:14,240 --> 00:26:17,399 Speaker 1: we will have a candidate on your ballot for a 438 00:26:17,440 --> 00:26:20,200 Speaker 1: statewide office coming up at five oh five. His name 439 00:26:20,240 --> 00:26:23,440 Speaker 1: is lanhy Chen. They offered him to us. He's running 440 00:26:23,480 --> 00:26:26,199 Speaker 1: for a controller Republican from the Bay Area, but apparently 441 00:26:26,240 --> 00:26:29,800 Speaker 1: he grew up in southern California. And uh, he's also 442 00:26:29,960 --> 00:26:33,760 Speaker 1: endorsed by the La Times. Not that we're endorsing him yet, 443 00:26:33,800 --> 00:26:36,359 Speaker 1: but we might listen tobody has to say. And we 444 00:26:36,400 --> 00:26:39,439 Speaker 1: haven't picked anybody in the controller race because honestly, we 445 00:26:39,440 --> 00:26:42,119 Speaker 1: didn't know. You know, it's running is Ron galprin the 446 00:26:42,520 --> 00:26:47,200 Speaker 1: La City controller. He's running for state controller chip he is. Yeah, 447 00:26:47,240 --> 00:26:50,080 Speaker 1: he's the one that first pointed out all the money 448 00:26:50,080 --> 00:26:52,479 Speaker 1: we're spending on the homeless housing, the eight hundred six 449 00:26:52,600 --> 00:26:55,800 Speaker 1: hundred thousand dollar apartments. He put out an audit about that, 450 00:26:55,840 --> 00:26:58,680 Speaker 1: which was a good idea. I don't know that I 451 00:26:58,680 --> 00:27:00,560 Speaker 1: would pick him, but yes, he's on your ballot for 452 00:27:00,560 --> 00:27:04,159 Speaker 1: a state controller. It's coming up after the news head five. Oh, 453 00:27:04,240 --> 00:27:07,120 Speaker 1: speaking of the city of La this is great. We'll 454 00:27:07,119 --> 00:27:10,480 Speaker 1: get into this next hour. What happened two years ago? 455 00:27:11,040 --> 00:27:13,760 Speaker 1: Taking a knee to fund the police. Yeah, they just 456 00:27:13,760 --> 00:27:16,000 Speaker 1: passed a budget. Guess what, more money for the police 457 00:27:16,040 --> 00:27:21,440 Speaker 1: and more hiring. One person voted no, any guess one 458 00:27:22,000 --> 00:27:26,880 Speaker 1: council my guy, you're a guy, my man, bonehead, that's right, 459 00:27:26,920 --> 00:27:30,320 Speaker 1: the worst, the worst councilman and in the same thing. 460 00:27:30,440 --> 00:27:32,399 Speaker 1: Is the worst of the worst. He is the worst. 461 00:27:33,840 --> 00:27:37,640 Speaker 1: Do you remember years ago was like zev Yerra Slavsky, Yeah, 462 00:27:37,720 --> 00:27:41,600 Speaker 1: how much you hated him, but compared to Bonnin pretty 463 00:27:42,080 --> 00:27:44,439 Speaker 1: but mostly because Sara Slavsky was just such an arrogant 464 00:27:44,440 --> 00:27:49,080 Speaker 1: son of um. Oh. Yeah, a few of those council 465 00:27:49,119 --> 00:27:50,720 Speaker 1: people used to come on us to get crazy on 466 00:27:50,760 --> 00:27:52,840 Speaker 1: the age. Well, they none of them wanted to be questioned. 467 00:27:52,880 --> 00:27:55,720 Speaker 1: All of them thought they were They were like oracles 468 00:27:56,640 --> 00:27:58,480 Speaker 1: about every now and then. Because there's a path that 469 00:27:58,560 --> 00:28:00,280 Speaker 1: I walk on, it has his name, Marvin out he 470 00:28:00,280 --> 00:28:02,280 Speaker 1: remember him. I think he came on the air and 471 00:28:02,320 --> 00:28:05,080 Speaker 1: we got twit shouting. We got a shouting men with everybody. Well, 472 00:28:05,080 --> 00:28:08,080 Speaker 1: because they're all they're all gas bags and fools and criminals, 473 00:28:08,240 --> 00:28:11,159 Speaker 1: Jackie Goldberg, They're got a hall of fame we could make. 474 00:28:11,240 --> 00:28:15,080 Speaker 1: Oh I know, I know, man, Sheila Kule. Oh, we 475 00:28:15,160 --> 00:28:18,040 Speaker 1: got another animal story for Debra Mark and this one 476 00:28:18,080 --> 00:28:20,640 Speaker 1: may be good for you. Yeah, it's a big case 477 00:28:20,720 --> 00:28:22,640 Speaker 1: in New York State. It's going to the New York 478 00:28:22,680 --> 00:28:27,920 Speaker 1: State Supreme Court. Is an elephant a person? Muh No, 479 00:28:28,359 --> 00:28:31,880 Speaker 1: an elephant's not a person. An animal rights organization has 480 00:28:31,880 --> 00:28:34,800 Speaker 1: filed legal documents asking judges to give an elephant at 481 00:28:34,800 --> 00:28:37,320 Speaker 1: the Bronx do the same rights as a person and 482 00:28:37,400 --> 00:28:40,960 Speaker 1: to sue over a legal confinement to gain freedom. Oh okay, 483 00:28:41,000 --> 00:28:44,120 Speaker 1: I get that. You like that. So now the elephants 484 00:28:44,120 --> 00:28:46,240 Speaker 1: a person. I'm not saying an elephant is a person, 485 00:28:46,320 --> 00:28:49,040 Speaker 1: but an elephants? Yeah, you did that? Was that was 486 00:28:49,080 --> 00:28:52,120 Speaker 1: confusing and I just wanted to be clearer than an elephant. 487 00:28:52,960 --> 00:28:56,600 Speaker 1: An elephant isn't a person. Okay, are you a woman? Well, 488 00:28:57,040 --> 00:28:59,280 Speaker 1: but yeah, but it regards this issue. And I hear 489 00:28:59,280 --> 00:29:04,760 Speaker 1: a chromosomes. No, she's got some weird letters. I'm sure 490 00:29:05,160 --> 00:29:08,120 Speaker 1: lots of vegan. I think she has some numbers. And 491 00:29:09,360 --> 00:29:14,560 Speaker 1: the elephant's name is Happy. That's cute. Captured in Asia 492 00:29:14,640 --> 00:29:17,080 Speaker 1: and the seventies when she was a one year old. 493 00:29:17,120 --> 00:29:20,000 Speaker 1: Oh that's a long time at the zoo. Captured. Sean 494 00:29:20,160 --> 00:29:22,560 Speaker 1: likes to know. I always asks, how do we know happy? 495 00:29:22,560 --> 00:29:25,400 Speaker 1: He's not happy? How do we know happy once this freedom? 496 00:29:25,400 --> 00:29:29,040 Speaker 1: We don't exactly, We don't. You know. They want to 497 00:29:29,080 --> 00:29:31,200 Speaker 1: put Happy in a sanctuary with a lot of space. 498 00:29:31,280 --> 00:29:34,239 Speaker 1: That's what they're trying to get done, not actually just 499 00:29:34,320 --> 00:29:37,840 Speaker 1: release Happy into the Bronx and say I have a 500 00:29:37,880 --> 00:29:40,200 Speaker 1: good day. Happy gets on the side. He's in the 501 00:29:40,200 --> 00:29:44,120 Speaker 1: Bronx Zoo. Yes, I'm trying to remember. I haven't been 502 00:29:44,160 --> 00:29:48,360 Speaker 1: there since maybe I was in high school. And was 503 00:29:48,360 --> 00:29:50,400 Speaker 1: there a lot of space for the animals. Probably not. 504 00:29:50,480 --> 00:29:54,400 Speaker 1: The old zoo is not as big as you think. No, 505 00:29:55,120 --> 00:29:59,040 Speaker 1: I don't, don't you think? Yeah, And she's big now 506 00:29:59,080 --> 00:30:02,719 Speaker 1: because she's quite the alt Oh there's pictures of her. 507 00:30:04,120 --> 00:30:06,080 Speaker 1: That's that. But the San Diego Zoo has a lot 508 00:30:06,080 --> 00:30:07,720 Speaker 1: of space for its animals, and then they have the 509 00:30:08,120 --> 00:30:11,440 Speaker 1: wild Animal Park down there. Oh. Well, the lawyer for 510 00:30:11,480 --> 00:30:14,240 Speaker 1: the zoo said, Happy is happy swimming, foraging and doing 511 00:30:14,240 --> 00:30:17,600 Speaker 1: stuff animals like to do. It's all. It's all she knows. Um, 512 00:30:18,920 --> 00:30:21,560 Speaker 1: that's the thing. She doesn't know an alternate life. But 513 00:30:21,720 --> 00:30:25,120 Speaker 1: she would be happier with an alternate life. So you'd 514 00:30:25,120 --> 00:30:27,960 Speaker 1: be able to be able to tell she'd probably would 515 00:30:27,960 --> 00:30:30,560 Speaker 1: be said, because I have heard. Like when they and 516 00:30:30,640 --> 00:30:33,800 Speaker 1: they shut down the zoos for the pandemic, the animals 517 00:30:33,880 --> 00:30:36,360 Speaker 1: got sad because they missed their seeing their human friends 518 00:30:36,400 --> 00:30:40,240 Speaker 1: every day. They liked the attention. What are the judges? 519 00:30:40,240 --> 00:30:42,000 Speaker 1: This is actually the New York Court of Appeals. I 520 00:30:42,000 --> 00:30:46,120 Speaker 1: thought it was. The New York Supreme Court shot back 521 00:30:46,120 --> 00:30:49,000 Speaker 1: at the question about happy being happy, said, well, does 522 00:30:49,040 --> 00:30:52,000 Speaker 1: that mean I can't keep a dog because maybe the 523 00:30:52,040 --> 00:30:54,920 Speaker 1: dog chooses to be somewhere else. Oh man, that's a 524 00:30:54,960 --> 00:30:57,600 Speaker 1: good question for miss Devor. But the lawyer came back. 525 00:30:58,240 --> 00:31:03,920 Speaker 1: Elephants are way more caught natively complex the dogs. That's 526 00:31:03,920 --> 00:31:05,960 Speaker 1: one of the reasons they believe that elephants are one 527 00:31:06,000 --> 00:31:09,360 Speaker 1: of the smartest animals. And there's some idea here that 528 00:31:09,440 --> 00:31:12,760 Speaker 1: they would be separate from a lot of the animal 529 00:31:12,880 --> 00:31:16,000 Speaker 1: kingdom in terms of trying to give them more rights 530 00:31:16,040 --> 00:31:18,440 Speaker 1: like a person. That's sort of the argument they're making 531 00:31:18,480 --> 00:31:22,480 Speaker 1: that elephants are very particular, don't she spake? Your dogs 532 00:31:22,520 --> 00:31:25,240 Speaker 1: deserve more freedom than they have to. Are you kidding me? 533 00:31:25,480 --> 00:31:29,520 Speaker 1: My dogs haven't made Seriously, my dogs are so spoiled. 534 00:31:29,560 --> 00:31:32,160 Speaker 1: Even my kids laugh at how spoiled my dogs are. 535 00:31:32,400 --> 00:31:35,520 Speaker 1: So my dogs are happy. If you left the door open, though, 536 00:31:35,520 --> 00:31:37,680 Speaker 1: they'd probably run out and never come back. They would, 537 00:31:38,040 --> 00:31:41,320 Speaker 1: they know. One of them called me the other day. Yeah, 538 00:31:41,360 --> 00:31:44,360 Speaker 1: it's and and what did she say? She was tapping 539 00:31:44,360 --> 00:31:46,640 Speaker 1: out in morse code, Get me out of here? Are 540 00:31:46,680 --> 00:31:48,720 Speaker 1: the cats? Psychic. John, you got a dog psychic to 541 00:31:48,800 --> 00:31:51,200 Speaker 1: talk to Deborah's dogs and see if that's true. They 542 00:31:51,200 --> 00:31:53,520 Speaker 1: would tell you how happy they are. Cat psychic on 543 00:31:53,560 --> 00:31:57,680 Speaker 1: the air, who was reading John unhappy? Yeah? That the 544 00:31:57,720 --> 00:32:00,400 Speaker 1: cat hated me. Cat did not feel loved by John. Well, 545 00:32:00,440 --> 00:32:04,520 Speaker 1: I can imagine. I remember the cat is Mercedes, Mercedes 546 00:32:04,760 --> 00:32:06,640 Speaker 1: love by John. Yes. When I would come over, she 547 00:32:06,720 --> 00:32:11,400 Speaker 1: comes sprinting down the stairs. Oh my god, somebody else. Oh, 548 00:32:11,520 --> 00:32:16,120 Speaker 1: let's do it. Let's get an animal, yea psychic. Oh. 549 00:32:16,280 --> 00:32:19,200 Speaker 1: Every phone line rang John was like clocking head against 550 00:32:19,200 --> 00:32:21,760 Speaker 1: the white people. You know what though, because I think 551 00:32:21,840 --> 00:32:24,160 Speaker 1: we had just started out out here. That convinced me 552 00:32:25,160 --> 00:32:29,719 Speaker 1: that you do not judge your popularity by phone calls. 553 00:32:30,400 --> 00:32:33,560 Speaker 1: Otherwise we would have twenty four hours of cat shows 554 00:32:33,600 --> 00:32:37,280 Speaker 1: on kfive because you will get endless calls. The phones 555 00:32:37,360 --> 00:32:40,360 Speaker 1: blew up. The cat psychic was probably the biggest hit 556 00:32:40,400 --> 00:32:42,520 Speaker 1: we ever had in terms of phone calls. But I 557 00:32:42,520 --> 00:32:45,680 Speaker 1: figured probably every guy listening had already gone off to 558 00:32:47,000 --> 00:32:49,960 Speaker 1: somewhere else. All Right, the five o'clock hour is here. 559 00:32:50,000 --> 00:32:52,400 Speaker 1: We're going to talk to accunidate for state controller. His 560 00:32:52,560 --> 00:32:55,080 Speaker 1: name is Lan chi Chen. 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