1 00:00:00,080 --> 00:00:02,080 Speaker 1: We're on from one until four and then after four 2 00:00:02,080 --> 00:00:05,280 Speaker 1: o'clock listening to the podcast on the iHeartRadio app or 3 00:00:05,320 --> 00:00:07,000 Speaker 1: at the KFI web page. 4 00:00:07,320 --> 00:00:09,879 Speaker 2: Tomorrow, during this hour, we'll bring back the Mooieline, one 5 00:00:09,880 --> 00:00:11,800 Speaker 2: of the last reminders to get your messages in for 6 00:00:11,840 --> 00:00:15,239 Speaker 2: this week using the iHeartRadio app. That's the microphone icon 7 00:00:15,280 --> 00:00:17,600 Speaker 2: you find there, or call the toll free number one 8 00:00:17,600 --> 00:00:21,360 Speaker 2: eight seven seven moist eighty six one eight seven seven 9 00:00:22,040 --> 00:00:25,760 Speaker 2: six six four seven eight eighty six another chance at 10 00:00:25,760 --> 00:00:28,880 Speaker 2: one thousand dollars with a keyword to be revealed around 11 00:00:28,920 --> 00:00:31,840 Speaker 2: three twenty here on the John and Ken Show. Well, 12 00:00:32,040 --> 00:00:35,040 Speaker 2: let's go back and talk a bit about California's wonderful 13 00:00:35,040 --> 00:00:39,360 Speaker 2: experiment with all mail in balloting elections. This was the 14 00:00:39,400 --> 00:00:43,519 Speaker 2: passage of Law AB twenty seven. All active registered voters 15 00:00:43,760 --> 00:00:47,159 Speaker 2: are automatically sent mailed ballots. You do not have to 16 00:00:47,240 --> 00:00:49,479 Speaker 2: vote that way if you do not want to. But 17 00:00:50,840 --> 00:00:52,760 Speaker 2: apparently a lot of people have chosen to do that, 18 00:00:53,159 --> 00:00:55,240 Speaker 2: but maybe there are some problems with it. We're going 19 00:00:55,320 --> 00:00:59,480 Speaker 2: to talk now with the president of the Public Interest 20 00:00:59,600 --> 00:01:03,000 Speaker 2: Legal Foundation. His name is Jay Christian Adams, and they 21 00:01:03,000 --> 00:01:06,200 Speaker 2: have put out a study about what happened with California's 22 00:01:06,200 --> 00:01:09,440 Speaker 2: mail and ballots system in the twenty twenty two elections 23 00:01:09,440 --> 00:01:11,360 Speaker 2: that would be the primary in June and then of 24 00:01:11,360 --> 00:01:12,919 Speaker 2: course the November general election. 25 00:01:14,160 --> 00:01:17,080 Speaker 1: All right, let's get Jay Christian Adams on. Welcome sir. 26 00:01:17,959 --> 00:01:19,479 Speaker 3: Hey guys, thanks for having me. 27 00:01:19,720 --> 00:01:21,920 Speaker 1: Thanks for having on with us. So you've got nearly 28 00:01:21,959 --> 00:01:26,720 Speaker 1: eleven million ballots you say are unaccounted for. Can you 29 00:01:26,760 --> 00:01:30,480 Speaker 1: be more specific? Isn't this mostly people throwing out their 30 00:01:30,520 --> 00:01:31,840 Speaker 1: ballot in the garbage like I did. 31 00:01:32,720 --> 00:01:34,720 Speaker 3: Well, a lot of them are, for sure. But we 32 00:01:35,560 --> 00:01:38,080 Speaker 3: at the Public Interersingle Foundation, we did a deep dive 33 00:01:38,120 --> 00:01:41,080 Speaker 3: into the data and you have other crazy things like 34 00:01:41,160 --> 00:01:46,000 Speaker 3: eleven thousand ballots came back didn't have signatures. Those people 35 00:01:46,040 --> 00:01:49,240 Speaker 3: lost their vote. You had ballots come back with no ballots, 36 00:01:49,280 --> 00:01:52,080 Speaker 3: like just the envelope and nothing was in it. Hundreds 37 00:01:52,080 --> 00:01:55,280 Speaker 3: of those. So what we know from the data, guys, 38 00:01:55,360 --> 00:01:59,040 Speaker 3: is that vote by mail disenfranchises voters. It is the 39 00:01:59,040 --> 00:02:01,760 Speaker 3: worst way to run election, and the numbers show it. 40 00:02:02,560 --> 00:02:04,280 Speaker 1: How does it disenfranchised voters? 41 00:02:04,360 --> 00:02:06,440 Speaker 2: Yeah, the thought was it more people will vote because 42 00:02:06,440 --> 00:02:08,360 Speaker 2: it's easier this way than showing up at a polling. 43 00:02:08,760 --> 00:02:11,280 Speaker 1: The turnouts all around the country have been record breaking. 44 00:02:12,120 --> 00:02:14,760 Speaker 3: Right, if you vote in person and you make these 45 00:02:14,840 --> 00:02:20,160 Speaker 3: mistakes like we're seeing happen, like missing information, no signature, 46 00:02:21,639 --> 00:02:25,040 Speaker 3: ballots came in late. We had ballots in California almost 47 00:02:25,040 --> 00:02:27,840 Speaker 3: sixty thousand of them came in late and weren't counted. 48 00:02:28,200 --> 00:02:30,959 Speaker 3: When you make mistakes in the polling place, you can 49 00:02:31,000 --> 00:02:33,760 Speaker 3: fix them. That when you drop your ballot in the 50 00:02:33,760 --> 00:02:36,360 Speaker 3: mail and give it to the post office, you can't 51 00:02:36,400 --> 00:02:39,720 Speaker 3: fix them. And so vote by mail is causing people 52 00:02:40,200 --> 00:02:42,600 Speaker 3: to lose their vote because they think they did it 53 00:02:42,680 --> 00:02:43,560 Speaker 3: right that they didn't. 54 00:02:44,480 --> 00:02:46,800 Speaker 2: Well, there way, I mean, you can fix what supposed 55 00:02:46,840 --> 00:02:49,000 Speaker 2: they're supposed to contact you if the signature doesn't seem 56 00:02:49,000 --> 00:02:49,320 Speaker 2: to match. 57 00:02:49,400 --> 00:02:53,880 Speaker 3: Right. Well, that's only one of the many problems that 58 00:02:54,560 --> 00:02:57,240 Speaker 3: disenfranchised people this time with mail and a lot of 59 00:02:57,240 --> 00:03:01,160 Speaker 3: people they don't get contacted, They don't get contacted in time. 60 00:03:01,680 --> 00:03:04,040 Speaker 3: They can't do anything about it when that mail ballot 61 00:03:04,080 --> 00:03:05,880 Speaker 3: is given to the post office. I mean, look, the 62 00:03:05,919 --> 00:03:08,560 Speaker 3: post office are the people who bring in my neighbors mail, right, 63 00:03:09,000 --> 00:03:12,000 Speaker 3: So it's no accident why these ballots are getting to 64 00:03:12,080 --> 00:03:15,360 Speaker 3: the post office and then getting to the election office late. 65 00:03:15,560 --> 00:03:19,920 Speaker 3: They had fifty seven thousand ballots weren't counted because they 66 00:03:20,000 --> 00:03:20,560 Speaker 3: arrived late? 67 00:03:21,960 --> 00:03:25,640 Speaker 1: And why were the other ballots rejected? Because you have 68 00:03:25,800 --> 00:03:29,440 Speaker 1: almost a quarter of a million, Is it just filling 69 00:03:29,440 --> 00:03:31,400 Speaker 1: out the ballot itself incorrectly? 70 00:03:32,400 --> 00:03:36,680 Speaker 3: Correct? Some people voted twice or tried to. Some people 71 00:03:36,720 --> 00:03:39,680 Speaker 3: didn't have a ballot in the envelope, Some people had 72 00:03:39,760 --> 00:03:41,920 Speaker 3: multiple ballots. You're not allowed to do that. You can't 73 00:03:42,000 --> 00:03:45,720 Speaker 3: just shove six ballots into one envelope. So none of 74 00:03:45,720 --> 00:03:49,640 Speaker 3: those ballots counted. If you send multiple ballots in one envelope, 75 00:03:49,640 --> 00:03:52,680 Speaker 3: they were disregarded. So there's all kinds of reasons. We've 76 00:03:52,680 --> 00:03:55,280 Speaker 3: documented the numbers. You can read them at the Public 77 00:03:55,360 --> 00:03:58,560 Speaker 3: Intersligo Foundation Vote my Mail's the worst way to run 78 00:03:58,560 --> 00:04:02,840 Speaker 3: an election in California, you know, is just choosing bad policies. 79 00:04:03,080 --> 00:04:05,520 Speaker 2: Well, I wonder if some of this is kind of ignorance? 80 00:04:05,560 --> 00:04:07,680 Speaker 2: Is bliss? The fifty seven thousand nil in ballots that 81 00:04:07,680 --> 00:04:10,320 Speaker 2: were rejected for arriving late. Those people don't even know that, 82 00:04:10,400 --> 00:04:11,360 Speaker 2: do they? 83 00:04:11,640 --> 00:04:14,880 Speaker 3: That's the problem. So here you have a system the 84 00:04:14,920 --> 00:04:19,000 Speaker 3: cranks in error by all these different ways to fail, 85 00:04:19,600 --> 00:04:22,280 Speaker 3: and the people who are the victims don't even know it. 86 00:04:22,360 --> 00:04:26,360 Speaker 3: That's why our study is so important, because we're documenting 87 00:04:26,360 --> 00:04:29,240 Speaker 3: the failures that the voters don't even know about. Now 88 00:04:29,279 --> 00:04:32,359 Speaker 3: they can go and try to chase it down, but 89 00:04:32,880 --> 00:04:36,080 Speaker 3: they go, you know, have fun two hundred thousand phone 90 00:04:36,080 --> 00:04:38,920 Speaker 3: calls to the election offices to get the bad news. 91 00:04:39,200 --> 00:04:43,120 Speaker 1: Is anybody investigating the ballot harvesting, which to me is 92 00:04:43,160 --> 00:04:45,400 Speaker 1: the biggest crime out of all this with the malady, 93 00:04:45,480 --> 00:04:50,000 Speaker 1: I can't imagine what's being done organizations going through immigrant 94 00:04:50,000 --> 00:04:53,760 Speaker 1: neighborhoods or nursing homes and the fake votes that they 95 00:04:53,760 --> 00:04:57,719 Speaker 1: can easily collect there. I mean, what's the story on that? 96 00:04:57,720 --> 00:05:01,160 Speaker 1: That seems to be wide open for corruption and cheating. 97 00:05:02,120 --> 00:05:04,280 Speaker 3: Yeah, and when I was in the US Justice Department, 98 00:05:04,880 --> 00:05:09,320 Speaker 3: we saw mail ballots and vulnerable people being told actually 99 00:05:09,400 --> 00:05:12,760 Speaker 3: they gave their ballots away to these harvesters. It wasn't 100 00:05:12,760 --> 00:05:15,520 Speaker 3: even a function of the voter voting, It was the 101 00:05:15,520 --> 00:05:19,479 Speaker 3: harvester voting. And so the problem in California is they 102 00:05:19,480 --> 00:05:24,000 Speaker 3: have pushed everything into a vulnerable place by using the mail. 103 00:05:24,480 --> 00:05:27,080 Speaker 3: It's very hard to vote harvest when people vote in person, 104 00:05:27,560 --> 00:05:31,280 Speaker 3: but when everybody gets a stinking ballot, it's really easy 105 00:05:31,320 --> 00:05:35,040 Speaker 3: for the harvesters. It's like a fish hatchery. You drop 106 00:05:35,040 --> 00:05:37,600 Speaker 3: your hook in with a cigarette and you're catching fish. 107 00:05:38,080 --> 00:05:40,640 Speaker 3: I mean, it's the worst way to pump all these 108 00:05:40,680 --> 00:05:42,800 Speaker 3: paper ballots out into the public. 109 00:05:42,960 --> 00:05:45,640 Speaker 1: I can see easily. You can go door to door 110 00:05:46,120 --> 00:05:49,040 Speaker 1: and in some neighborhoods where most of the people don't 111 00:05:49,080 --> 00:05:52,400 Speaker 1: speak English, and just coerced them and saying, well, give 112 00:05:52,440 --> 00:05:53,960 Speaker 1: me the ballot, I'll take care of it. This is 113 00:05:54,000 --> 00:05:55,839 Speaker 1: the way we're doing it this year. And you could 114 00:05:55,880 --> 00:06:00,280 Speaker 1: pray on elderly people the way telemarketers do, and you like, 115 00:06:00,320 --> 00:06:03,320 Speaker 1: you could collect thousands and thousands of votes filling them 116 00:06:03,320 --> 00:06:04,680 Speaker 1: out yourself as the harvester. 117 00:06:05,839 --> 00:06:09,279 Speaker 3: And California has created an election system that encourages that 118 00:06:09,360 --> 00:06:12,520 Speaker 3: behavior by vote by mail the way they've done it, 119 00:06:12,520 --> 00:06:15,359 Speaker 3: it's the worst way to run an election. The numbers 120 00:06:15,400 --> 00:06:18,920 Speaker 3: are now showing what a disaster it was with hundreds 121 00:06:18,920 --> 00:06:23,159 Speaker 3: of thousands of people got disenfranchised their ballots in count 122 00:06:23,240 --> 00:06:24,039 Speaker 3: They don't even know it. 123 00:06:24,480 --> 00:06:27,039 Speaker 2: Now we're at Delly stated, didn't Oregon do this years ago? 124 00:06:27,120 --> 00:06:27,800 Speaker 2: Mail in doubt it. 125 00:06:27,800 --> 00:06:31,200 Speaker 3: Only Yeah, but they don't not owe mail everybody in 126 00:06:31,200 --> 00:06:33,880 Speaker 3: the same way. They have a much well, I should 127 00:06:33,920 --> 00:06:38,680 Speaker 3: say slightly tighter control over the process. Oregon has done it, 128 00:06:39,080 --> 00:06:42,800 Speaker 3: but they also have a situation in Oregon where they 129 00:06:42,839 --> 00:06:46,520 Speaker 3: have better voter rolls. In California is a disaster. I 130 00:06:46,520 --> 00:06:50,320 Speaker 3: mean they California just recently started complying with a twenty 131 00:06:50,440 --> 00:06:54,560 Speaker 3: year old federal law about clean voter roles. So it's 132 00:06:54,600 --> 00:06:58,000 Speaker 3: the worst place to try this experiment out because of 133 00:06:58,000 --> 00:06:58,760 Speaker 3: their voter rolls. 134 00:06:59,120 --> 00:07:01,680 Speaker 2: Why do you think Sacramento they push for this. They 135 00:07:01,720 --> 00:07:04,560 Speaker 2: just think they'll do better with this cod they have 136 00:07:04,720 --> 00:07:07,200 Speaker 2: look at this, they have Yeah, every since they got this, 137 00:07:07,320 --> 00:07:10,520 Speaker 2: they have two thirds majorities, and and and they have 138 00:07:10,560 --> 00:07:13,160 Speaker 2: record amount of turnout voting primarily for Democrats. 139 00:07:13,920 --> 00:07:14,120 Speaker 1: Right. 140 00:07:14,200 --> 00:07:18,679 Speaker 3: And the folks in Sacramento, this is like a shiny 141 00:07:18,720 --> 00:07:22,360 Speaker 3: object to them. Anything that they think helps people vote 142 00:07:22,680 --> 00:07:25,680 Speaker 3: they have to pass. And we now know because of 143 00:07:25,720 --> 00:07:29,520 Speaker 3: this study that a quarter million people lost their vote 144 00:07:29,840 --> 00:07:32,240 Speaker 3: because of vote by mail. Now, well, the folks in 145 00:07:32,280 --> 00:07:34,760 Speaker 3: Sacramento do anything about it. I doubt it, because that's 146 00:07:34,800 --> 00:07:35,320 Speaker 3: who they are. 147 00:07:35,560 --> 00:07:38,760 Speaker 2: Well, now, is your organization against voting by mail completely? 148 00:07:38,880 --> 00:07:41,440 Speaker 2: Or you're still you know, absentee ballots are okay? Or what? 149 00:07:42,520 --> 00:07:45,120 Speaker 3: Well, you have to have absentee ballots for people who 150 00:07:45,120 --> 00:07:48,040 Speaker 3: are sick, people you know, who aren't home, who are 151 00:07:48,080 --> 00:07:51,320 Speaker 3: working at and so that that's not an issue. The 152 00:07:51,360 --> 00:07:55,360 Speaker 3: worst thing to do is to auto mail the entire list. 153 00:07:55,480 --> 00:07:58,680 Speaker 3: It's it's like you want the system to collapse by 154 00:07:58,720 --> 00:08:04,000 Speaker 3: doing something that knuckletish. You don't send ballots to people 155 00:08:04,000 --> 00:08:06,000 Speaker 3: who haven't asked. That's not how to do it. 156 00:08:06,800 --> 00:08:09,080 Speaker 2: All right, Jay Christian Adams, thanks for talking to us. 157 00:08:09,120 --> 00:08:12,440 Speaker 3: We appreciate it anytime. Guys, take care of He's. 158 00:08:12,240 --> 00:08:15,400 Speaker 2: The president of the Public Interest Legal Foundation. He wished 159 00:08:15,480 --> 00:08:19,480 Speaker 2: a report about what happened with California's mass male balloting 160 00:08:19,480 --> 00:08:22,400 Speaker 2: election in the year twenty twenty two. They sent out 161 00:08:22,400 --> 00:08:24,920 Speaker 2: over twenty two million ballots, but as you heard, almost 162 00:08:24,960 --> 00:08:28,840 Speaker 2: eleven million unaccounted for, which could be like John through 163 00:08:28,840 --> 00:08:31,320 Speaker 2: his in the trash because John voted in person. Yeah, 164 00:08:31,760 --> 00:08:33,440 Speaker 2: going to the wrong place. It was a dead end. 165 00:08:33,520 --> 00:08:34,160 Speaker 2: Something like that. 166 00:08:34,720 --> 00:08:37,880 Speaker 1: You know, if you live in the North Beach North 167 00:08:37,880 --> 00:08:41,040 Speaker 1: Long Beach neighborhood, in your Chestnut Avenue and J. Mills Avenue, 168 00:08:41,160 --> 00:08:44,280 Speaker 1: there's a wacky well, it was a car chase going 169 00:08:44,320 --> 00:08:46,360 Speaker 1: on and the guy got jumped out of the car 170 00:08:46,600 --> 00:08:50,520 Speaker 1: and he started running across the rooftops of buildings. Oh, 171 00:08:51,320 --> 00:08:54,040 Speaker 1: I can't imagine the drugs he's jacked up on. And 172 00:08:54,080 --> 00:08:56,559 Speaker 1: he was walking on the top of some building that 173 00:08:56,679 --> 00:08:59,880 Speaker 1: started to collapse. It looked like an old wooden shed 174 00:09:00,559 --> 00:09:05,200 Speaker 1: of some kind. And he was jumping into various backyards, 175 00:09:05,240 --> 00:09:08,440 Speaker 1: climbing over fences. And now it looks like the police 176 00:09:08,480 --> 00:09:13,360 Speaker 1: have guns trained on him. Uh and he's he and 177 00:09:13,360 --> 00:09:16,440 Speaker 1: he's in the backyard. It's tough to see from the 178 00:09:16,480 --> 00:09:19,520 Speaker 1: angle they have, but he was like Superman. 179 00:09:19,720 --> 00:09:21,040 Speaker 2: He was why were they chasing him? 180 00:09:21,040 --> 00:09:24,400 Speaker 1: To say why, Well, it was a car chase, and 181 00:09:24,440 --> 00:09:29,400 Speaker 1: then he drove them into uh a trailer park, and 182 00:09:29,720 --> 00:09:32,040 Speaker 1: he was he was driving up and down the roads 183 00:09:32,080 --> 00:09:35,200 Speaker 1: inside the trailer park, and then he jumped out and 184 00:09:35,240 --> 00:09:37,880 Speaker 1: started running. And I looked up and all of a sudden, 185 00:09:37,920 --> 00:09:40,920 Speaker 1: he's he's running full speed across the tops of these roofs. 186 00:09:42,120 --> 00:09:44,240 Speaker 1: So we'll see what happens more. 187 00:09:44,320 --> 00:09:46,360 Speaker 2: Wacky people on the loose. Yes, said, you're looking to 188 00:09:46,400 --> 00:09:47,520 Speaker 2: see if there's drugs involved. 189 00:09:47,920 --> 00:09:50,280 Speaker 1: Well, I can't believe he's not on drugs. That's got 190 00:09:50,280 --> 00:09:52,560 Speaker 1: to be meth because no normal human could do what 191 00:09:52,600 --> 00:09:56,000 Speaker 1: he did. So if you're a chest out Avenue in 192 00:09:56,040 --> 00:09:58,000 Speaker 1: North Long Beach. You better lock the doors because this 193 00:09:58,040 --> 00:10:01,480 Speaker 1: guy was was bouncing through private yards. 194 00:10:02,240 --> 00:10:04,439 Speaker 2: All right, your chance at one thousand bucks. A keyword 195 00:10:04,559 --> 00:10:07,440 Speaker 2: is next, John and Ken KFI AM six forty live everywhere, 196 00:10:07,480 --> 00:10:09,800 Speaker 2: the iHeartRadio app and don't forget you can check out 197 00:10:09,840 --> 00:10:12,120 Speaker 2: our podcast if you missed the live show between one 198 00:10:12,200 --> 00:10:14,920 Speaker 2: and four, it's put up there shortly after four o'clock 199 00:10:14,960 --> 00:10:18,000 Speaker 2: at KFIAM six forty dot com, or check out the 200 00:10:18,000 --> 00:10:22,880 Speaker 2: iHeart Radio app. Well, apparently she's tapped out. Oh, by 201 00:10:22,880 --> 00:10:25,959 Speaker 2: the way, Biden's here, John, did you know Joe Biden's 202 00:10:25,960 --> 00:10:28,680 Speaker 2: in California? He's not here, He's up in the central 203 00:10:28,679 --> 00:10:31,520 Speaker 2: part of the day with looking Newsome was there greeting 204 00:10:31,559 --> 00:10:32,679 Speaker 2: him at the airport. 205 00:10:32,320 --> 00:10:33,640 Speaker 1: Looking at the flood damage. 206 00:10:33,840 --> 00:10:34,679 Speaker 2: Knobs Lobbrary. 207 00:10:34,720 --> 00:10:36,360 Speaker 1: I hate that, Yeah, I hate that stuff. 208 00:10:36,720 --> 00:10:38,800 Speaker 2: Checking with local officials. What can I do? 209 00:10:38,920 --> 00:10:40,920 Speaker 1: The President is flying overhead? Who care? 210 00:10:41,040 --> 00:10:42,600 Speaker 2: Singing happy birthday to people? 211 00:10:44,120 --> 00:10:44,240 Speaker 4: Uh? 212 00:10:44,640 --> 00:10:48,600 Speaker 2: The Prime Minister of New Zealand is all tapped out. 213 00:10:48,640 --> 00:10:52,640 Speaker 2: She's too exhausted, she's quitting. We talked about Jacinda Arden 214 00:10:52,760 --> 00:10:56,679 Speaker 2: before because more than most other nations on the planet, 215 00:10:57,000 --> 00:11:00,880 Speaker 2: they went overboard with COVID lockdowns. As they're an island, 216 00:11:01,080 --> 00:11:02,840 Speaker 2: they could really keep away the virus. 217 00:11:03,000 --> 00:11:06,280 Speaker 1: She was truly a crazy person. She sealed off the 218 00:11:06,440 --> 00:11:11,680 Speaker 1: entire island and the restrictions were so overwhelming in New Zealand. 219 00:11:11,880 --> 00:11:15,280 Speaker 1: I read in one story that you were not legally 220 00:11:15,320 --> 00:11:19,679 Speaker 1: allowed to pick up a cricket ball from your neighbor's backyard. 221 00:11:20,480 --> 00:11:24,600 Speaker 2: Is it the beginning or the whole the whole cod beginning. 222 00:11:24,679 --> 00:11:30,120 Speaker 1: I don't know how the restrictions waxed and waned over time, 223 00:11:30,440 --> 00:11:34,079 Speaker 1: but at its most severe, we had something similar here. 224 00:11:34,200 --> 00:11:37,120 Speaker 1: Remember Garcetti was telling us that we couldn't touch each 225 00:11:37,160 --> 00:11:38,120 Speaker 1: other's tennis balls. 226 00:11:38,760 --> 00:11:42,640 Speaker 2: Hmm, I thought that was that health. The woman Barbara 227 00:11:42,640 --> 00:11:44,840 Speaker 2: Ferrara was saying that it's all the same, it's all 228 00:11:44,880 --> 00:11:48,640 Speaker 2: the same person. Well, it looks like it really affected 229 00:11:48,640 --> 00:11:51,400 Speaker 2: their economy. Now, well, they had a lower per capita 230 00:11:51,800 --> 00:11:54,920 Speaker 2: COVID nineteen death toll than many other countries. And again 231 00:11:54,960 --> 00:11:58,080 Speaker 2: that's achievable because they are an island. They didn't have 232 00:11:58,120 --> 00:12:00,800 Speaker 2: to go nuts with lockdowns. You can kind of restrict 233 00:12:00,800 --> 00:12:06,320 Speaker 2: travel because you're geographically separated by water. Five million people 234 00:12:07,000 --> 00:12:09,880 Speaker 2: live in New Zealand, which, if you haven't been, is 235 00:12:10,160 --> 00:12:13,680 Speaker 2: really I have to go back. A wonderful country in 236 00:12:13,800 --> 00:12:15,680 Speaker 2: terms of just the beauty of it, but it's so 237 00:12:15,720 --> 00:12:16,959 Speaker 2: much nature and different to it. 238 00:12:17,160 --> 00:12:19,440 Speaker 1: It seems like one of these oppressive states. 239 00:12:20,000 --> 00:12:21,960 Speaker 2: Were you shown when I was there a long time ago, 240 00:12:22,000 --> 00:12:24,400 Speaker 2: and I didn't feel that way. I mean, they have 241 00:12:24,600 --> 00:12:27,360 Speaker 2: very tough immigration policy and visa policy and all that. 242 00:12:28,200 --> 00:12:31,959 Speaker 1: But I good, I understand that to be oppressive. 243 00:12:31,480 --> 00:12:34,280 Speaker 2: But it looks like, you know, all these restrictions have 244 00:12:34,360 --> 00:12:39,000 Speaker 2: made it tough for the economy there to rebound. The 245 00:12:39,080 --> 00:12:43,440 Speaker 2: currency has fallen sharply. Energy cars and other products are 246 00:12:43,520 --> 00:12:48,600 Speaker 2: expensive to import. And because they choked off the flow 247 00:12:48,640 --> 00:12:51,640 Speaker 2: of migrants, they didn't get students and young travelers who 248 00:12:51,760 --> 00:12:54,960 Speaker 2: bolster the workforce. A lot of this really got to 249 00:12:55,000 --> 00:12:58,120 Speaker 2: the people there. My favorite story is I think it 250 00:12:58,160 --> 00:13:00,640 Speaker 2: came from Auckland, which is on the North Island of 251 00:13:00,640 --> 00:13:03,880 Speaker 2: New Zealand, that you could get in trouble if you 252 00:13:03,960 --> 00:13:06,040 Speaker 2: ordered take out food and then went outside to meet 253 00:13:06,080 --> 00:13:08,560 Speaker 2: the delivery driver and take the food. Remember, for a 254 00:13:08,559 --> 00:13:11,600 Speaker 2: while there, they weren't letting people even leave their homes. 255 00:13:11,280 --> 00:13:16,200 Speaker 1: And it was all unnecessary. It was all just gestapo tactics. 256 00:13:16,640 --> 00:13:20,320 Speaker 1: It was insanity because this crazy lady just into Arden. 257 00:13:20,679 --> 00:13:23,840 Speaker 1: Just wanted to control the world, didn't she. This wasn't 258 00:13:23,840 --> 00:13:26,480 Speaker 1: based on any science. This was based on her one 259 00:13:26,559 --> 00:13:30,319 Speaker 1: chance now to dictate how people are going to live. 260 00:13:30,400 --> 00:13:33,480 Speaker 1: Lock them all indoors. They did this in China, they 261 00:13:33,559 --> 00:13:37,480 Speaker 1: did this in a number of places. This is about 262 00:13:37,480 --> 00:13:40,400 Speaker 1: the mental illness of the person in power at that 263 00:13:40,440 --> 00:13:41,080 Speaker 1: given moment. 264 00:13:41,920 --> 00:13:45,560 Speaker 2: Oh yeah, but she's been like the woke people have hailed, 265 00:13:45,880 --> 00:13:49,280 Speaker 2: of course, the woke crowd, COVID and other things, climate change. 266 00:13:49,320 --> 00:13:50,160 Speaker 2: I guess she's been big. 267 00:13:50,120 --> 00:13:55,839 Speaker 1: On the wok crowd. Believes in oppression, everything about communism 268 00:13:55,960 --> 00:14:00,480 Speaker 1: in the old Soviet Union, East Germany, in China, Cuba, 269 00:14:00,480 --> 00:14:05,239 Speaker 1: of Venezuela, that whole sphere. That's what woke people are embracing. 270 00:14:05,880 --> 00:14:08,240 Speaker 1: That's why they want to shut down the freedom of speech. 271 00:14:09,200 --> 00:14:14,760 Speaker 1: They want people controlled. They wanted, you know, make us 272 00:14:14,760 --> 00:14:18,720 Speaker 1: get rid of our cars. They want to tell us 273 00:14:18,760 --> 00:14:21,800 Speaker 1: how to live on a moment by moment basis, And 274 00:14:22,000 --> 00:14:24,600 Speaker 1: COVID was a great example. Least they came coming out 275 00:14:24,600 --> 00:14:27,520 Speaker 1: of the woodwork like a bunch of cockroaches, communist cockroaches. 276 00:14:28,480 --> 00:14:31,480 Speaker 2: Last year, opponents of a vaccine mandate set up camp 277 00:14:31,480 --> 00:14:34,120 Speaker 2: on the grounds of the Parliament, eventually prompting police to 278 00:14:34,200 --> 00:14:37,080 Speaker 2: tear down tents and tow away cars while the crowd 279 00:14:37,120 --> 00:14:40,120 Speaker 2: set fire as at her old debris and abuse. She 280 00:14:40,240 --> 00:14:43,120 Speaker 2: basically said, she's exhausted, she's just run out of entergy 281 00:14:43,560 --> 00:14:46,080 Speaker 2: to be prime minister. She's stepping down after five years. 282 00:14:46,080 --> 00:14:47,960 Speaker 2: They should throw her in jail, now, that's what they 283 00:14:47,960 --> 00:14:50,040 Speaker 2: should do. Did you see one of the one of 284 00:14:50,080 --> 00:14:52,480 Speaker 2: the crazy analysts who was on CNN and wrote for 285 00:14:52,480 --> 00:14:55,080 Speaker 2: the Washington Post all the time. Her her last name 286 00:14:55,160 --> 00:14:57,080 Speaker 2: was wen We and doctor when. 287 00:14:57,480 --> 00:15:01,200 Speaker 1: And she admitted now now three years later, that she 288 00:15:01,440 --> 00:15:06,040 Speaker 1: thinks the number of COVID deaths were wildly overcounted. Is 289 00:15:06,080 --> 00:15:09,400 Speaker 1: that right? Yes, that I'll send you the story you 290 00:15:09,520 --> 00:15:12,920 Speaker 1: tell us. Yeah, wildly overcounted because there were too many 291 00:15:13,000 --> 00:15:18,080 Speaker 1: people who died coincidentally with COVID, not of COVID, but 292 00:15:18,240 --> 00:15:20,520 Speaker 1: a lot. If they died with COVID, it was put 293 00:15:20,560 --> 00:15:21,520 Speaker 1: on their death certificate. 294 00:15:22,360 --> 00:15:24,720 Speaker 2: All right, We got more coming up. Johnny ken KF 295 00:15:24,720 --> 00:15:27,720 Speaker 2: I am six poin forty live everywhere the iHeart Radio app. 296 00:15:27,920 --> 00:15:30,440 Speaker 1: We've had We've had a lot of hysteria the last 297 00:15:30,640 --> 00:15:34,120 Speaker 1: few years. One big hysteria was over COVID. Another big 298 00:15:34,160 --> 00:15:37,360 Speaker 1: hysteria right now is over climate change. Who pushes the 299 00:15:37,440 --> 00:15:47,920 Speaker 1: hysterias the unholy trinity, Al Gore, he's a member politicians, media, academia. No, yeah, 300 00:15:47,960 --> 00:15:51,880 Speaker 1: they're the ones who whip up the hysteria storms. 301 00:15:51,920 --> 00:15:54,640 Speaker 2: Well, they're supposed to be our smart sort of guiding. 302 00:15:54,960 --> 00:15:59,120 Speaker 1: And what's their solution in both these cases and others 303 00:15:59,200 --> 00:16:04,720 Speaker 1: as well, is you live differently. You stay home, you 304 00:16:04,800 --> 00:16:08,800 Speaker 1: don't do things, stay behind your closed door. Really, for 305 00:16:08,840 --> 00:16:11,440 Speaker 1: climate change and for COVID, it was the same thing. 306 00:16:12,600 --> 00:16:15,280 Speaker 1: Don't leave the house, like, don't drive because that's bad 307 00:16:15,280 --> 00:16:17,480 Speaker 1: for the climate. Don't go out and eat meat that's 308 00:16:17,480 --> 00:16:22,520 Speaker 1: bad for the climate. Don't go to the store that's bad, 309 00:16:22,840 --> 00:16:26,360 Speaker 1: you'll catch COVID and die. It was. The suggestions were 310 00:16:26,400 --> 00:16:30,840 Speaker 1: all about control and diminishing freedom and diminishing life. And 311 00:16:31,200 --> 00:16:36,920 Speaker 1: these three categories, media and academia and politicians they are 312 00:16:36,960 --> 00:16:39,800 Speaker 1: the three, especially in California, that have gone ultra woke 313 00:16:40,680 --> 00:16:43,560 Speaker 1: the evil troika. This is not a coincidence. 314 00:16:45,920 --> 00:16:48,120 Speaker 2: All right, Well, you know we're here to perform a 315 00:16:48,200 --> 00:16:53,040 Speaker 2: public service on the John and Ken Show. California for 316 00:16:53,120 --> 00:16:57,920 Speaker 2: once is not number one. What are we talking about? 317 00:16:58,080 --> 00:17:01,720 Speaker 2: How much it costs now to buy a dozen freaking eggs? 318 00:17:02,160 --> 00:17:05,080 Speaker 2: Do you know in Hawaii the average is almost ten 319 00:17:05,119 --> 00:17:11,400 Speaker 2: dollars for a dozen eggs, nine to seventy three Florida, Alabama, Nevada, 320 00:17:11,440 --> 00:17:16,359 Speaker 2: and then California at six dollars and five cents for 321 00:17:16,480 --> 00:17:20,640 Speaker 2: a dozen eggs is fifth in the country. We've told 322 00:17:20,680 --> 00:17:22,560 Speaker 2: you before. A lot of the reasons for this is 323 00:17:22,600 --> 00:17:26,040 Speaker 2: that dang bird flu which has really affected the egg 324 00:17:26,160 --> 00:17:30,080 Speaker 2: laying hen population. And it's a good thing our vegan 325 00:17:30,440 --> 00:17:33,080 Speaker 2: animal lover isn't here. But that's because they've had to 326 00:17:33,160 --> 00:17:36,640 Speaker 2: cull some of the hens in order to make sure 327 00:17:36,720 --> 00:17:40,600 Speaker 2: that the virus can be somewhat contained. The bird flu. 328 00:17:41,359 --> 00:17:44,000 Speaker 2: So there's a couple of ideas popping up out there. 329 00:17:44,040 --> 00:17:47,159 Speaker 2: They're both pretty bizarre. We'll start with Fox eleven reporter 330 00:17:47,840 --> 00:17:51,439 Speaker 2: Laura Diaz. Listen to what this idea is. 331 00:17:51,840 --> 00:17:57,920 Speaker 5: We have twenty eight chickens, Cowana, Ladys, Biggy is again, 332 00:17:58,160 --> 00:18:02,719 Speaker 5: are my big girl? Who's behind the water Snowball is 333 00:18:02,800 --> 00:18:06,240 Speaker 5: our white silky Here these pullets are going to be 334 00:18:06,320 --> 00:18:09,320 Speaker 5: customers hens, So I don't name them so I don't 335 00:18:09,359 --> 00:18:11,240 Speaker 5: get too attached andn't feel sad. 336 00:18:11,240 --> 00:18:14,480 Speaker 6: To say goodbye at the Leaf Farm in Aguadulce. The 337 00:18:14,520 --> 00:18:18,359 Speaker 6: barn is filled with colorful chickens, chicks, hens, and roosters. 338 00:18:20,960 --> 00:18:24,440 Speaker 6: They're like children to this young family. You say hi, Audrey, 339 00:18:24,640 --> 00:18:27,639 Speaker 6: and now through a business called Rent the Chicken, you 340 00:18:27,680 --> 00:18:30,280 Speaker 6: can find out what it's like. The retro pays five 341 00:18:30,400 --> 00:18:32,360 Speaker 6: hundred and seventy five dollars for half a year. 342 00:18:32,720 --> 00:18:35,560 Speaker 5: That's a six month rental, so that includes everything that's 343 00:18:35,600 --> 00:18:39,040 Speaker 5: your coop, your feeder, your water, your two hens, and 344 00:18:39,200 --> 00:18:41,560 Speaker 5: all of the food that they need for their six months. 345 00:18:41,800 --> 00:18:44,879 Speaker 6: Raising chickens has gained popularity with big names like Oprah 346 00:18:44,920 --> 00:18:48,679 Speaker 6: and Martha Stewart, but everyday people getting crushed by eggs 347 00:18:48,720 --> 00:18:52,440 Speaker 6: at eight dollars a dozen, deciding why not try something new. 348 00:18:53,080 --> 00:18:56,680 Speaker 6: Rent the Chicken is an idea hatched by owner Jen Tompkins, 349 00:18:57,119 --> 00:18:58,200 Speaker 6: she's the co founder. 350 00:18:58,800 --> 00:19:03,440 Speaker 4: We have all sorts of demographics. The main common denominator 351 00:19:03,720 --> 00:19:07,680 Speaker 4: is people who would like to just try it out. 352 00:19:08,760 --> 00:19:11,440 Speaker 4: Some folks are empty nesters, they're looking to Some they're 353 00:19:11,480 --> 00:19:15,000 Speaker 4: looking for something to love on. Others are young families. 354 00:19:15,040 --> 00:19:18,440 Speaker 4: They want to provide this experience to their children. 355 00:19:18,720 --> 00:19:21,639 Speaker 6: I got to hold Biggie and see why many people 356 00:19:21,760 --> 00:19:24,080 Speaker 6: are going big with this trend. 357 00:19:24,119 --> 00:19:26,440 Speaker 5: And the coops that we are in doubt, you're really 358 00:19:26,480 --> 00:19:28,960 Speaker 5: only going to want two to four hens in there, 359 00:19:29,080 --> 00:19:31,240 Speaker 5: just so that they're happy and they have the room 360 00:19:31,280 --> 00:19:36,000 Speaker 5: that they deserve, and that's in line with most suburban rules. 361 00:19:36,880 --> 00:19:39,639 Speaker 6: A good hand will produce about six eggs a week. 362 00:19:40,040 --> 00:19:42,080 Speaker 6: Some of these, the green ones, if you look closely 363 00:19:42,119 --> 00:19:44,800 Speaker 6: at them, they were produced by Biggie. So you know, 364 00:19:44,920 --> 00:19:48,439 Speaker 6: it's just a very immersive experience, and that's part of 365 00:19:48,480 --> 00:19:51,359 Speaker 6: what people have decided after COVID that they want to 366 00:19:51,400 --> 00:19:54,080 Speaker 6: have a deeper meaning to their lives. So some of 367 00:19:54,119 --> 00:19:56,520 Speaker 6: it's based on money, and some of it's that they 368 00:19:56,640 --> 00:19:58,600 Speaker 6: just enjoy the entire thing. 369 00:20:00,040 --> 00:20:02,360 Speaker 2: Egg prices are up more than most other foods, even 370 00:20:02,400 --> 00:20:03,159 Speaker 2: chicken or turkey. 371 00:20:03,200 --> 00:20:04,760 Speaker 1: Do you know what because of this bird flu. You 372 00:20:04,760 --> 00:20:08,359 Speaker 1: know what a dozen eggs cost in the summer of 373 00:20:08,840 --> 00:20:11,720 Speaker 1: twenty twenty one a dollar sixty four. 374 00:20:13,720 --> 00:20:16,080 Speaker 2: Yeah, and now we're talking prices upwards of seven dollars 375 00:20:16,160 --> 00:20:20,439 Speaker 2: six dollars a dozen. That's huge. It was not just 376 00:20:20,600 --> 00:20:25,439 Speaker 2: the bird flu, but there's also been some problems with 377 00:20:26,000 --> 00:20:30,720 Speaker 2: the feed, the prices of having the chickens, the cost 378 00:20:30,800 --> 00:20:33,160 Speaker 2: of the seed to to feed them. 379 00:20:33,320 --> 00:20:36,400 Speaker 1: So every product that uses eggs as an ingredient, goes up. 380 00:20:36,800 --> 00:20:40,560 Speaker 1: All the dishes in restaurants, all the everything that's in 381 00:20:40,600 --> 00:20:45,679 Speaker 1: a bakery, and I mean there's a million, there's a 382 00:20:45,720 --> 00:20:48,640 Speaker 1: million food products that have eggs in them. So all 383 00:20:48,680 --> 00:20:50,000 Speaker 1: that's going to go up even more. 384 00:20:50,480 --> 00:20:52,360 Speaker 2: But as a source of protein, it says here, it's 385 00:20:52,400 --> 00:20:58,760 Speaker 2: actually cheaper than chicken or beef because relatively speaking, as 386 00:20:58,760 --> 00:21:02,680 Speaker 2: a source of protein, it's more of a bargain. Something 387 00:21:02,680 --> 00:21:06,840 Speaker 2: else that people are doing besides renting a chicken, is 388 00:21:07,640 --> 00:21:11,200 Speaker 2: actually buying a chicken, bringing it home and trying to 389 00:21:11,280 --> 00:21:12,880 Speaker 2: get it to lay eggs in their. 390 00:21:12,800 --> 00:21:15,600 Speaker 1: Own How many eggs does a chicken lay in a week? 391 00:21:16,320 --> 00:21:19,320 Speaker 2: Well, she said there in the story that they can 392 00:21:19,480 --> 00:21:20,720 Speaker 2: lay several eggs in a week. 393 00:21:21,440 --> 00:21:22,719 Speaker 1: Well, that's not going to get you far. 394 00:21:22,880 --> 00:21:26,119 Speaker 2: The two chickens can produce eight to fourteen eggs per week. 395 00:21:27,000 --> 00:21:29,000 Speaker 2: If you got four chickens, you can get sixteen to 396 00:21:29,040 --> 00:21:31,199 Speaker 2: twenty eight eggs per week. But if you've got a 397 00:21:31,200 --> 00:21:35,040 Speaker 2: full family, yeah, eating eggs every day. Yeah, they have 398 00:21:35,080 --> 00:21:35,800 Speaker 2: a lot of chickens. 399 00:21:36,119 --> 00:21:38,480 Speaker 1: Well, there's actually somebody down the block from us that 400 00:21:38,560 --> 00:21:42,920 Speaker 1: has chickens. It might be roosters. I forget. They haven't 401 00:21:42,960 --> 00:21:44,160 Speaker 1: in a cage on their front lawn. 402 00:21:44,720 --> 00:21:47,320 Speaker 2: Do they get eggs out of them or they just 403 00:21:47,400 --> 00:21:48,760 Speaker 2: stare as a pet or. 404 00:21:49,359 --> 00:21:52,240 Speaker 1: I think as a pet. But yeah, I was reading 405 00:21:52,240 --> 00:21:54,440 Speaker 1: one of these stories. But chickens. Chickens have salmon l 406 00:21:54,520 --> 00:21:55,120 Speaker 1: all over them. 407 00:21:55,359 --> 00:21:59,320 Speaker 2: Yes, backyard poultry can have salmonella germs in their poop 408 00:21:59,359 --> 00:21:59,840 Speaker 2: and on their. 409 00:21:59,720 --> 00:22:02,199 Speaker 1: B'm right, and they poop all over the place. They 410 00:22:02,240 --> 00:22:03,960 Speaker 1: poop on themselves, all over their feet. 411 00:22:04,000 --> 00:22:06,560 Speaker 2: It's on their beak, the back right, So the bacteria 412 00:22:06,600 --> 00:22:08,480 Speaker 2: can live on the beak, the feathers, the feet, as 413 00:22:08,480 --> 00:22:10,480 Speaker 2: well as in the digestive track and can spread to 414 00:22:10,560 --> 00:22:13,040 Speaker 2: areas where the birds live and onto your clothes. You're 415 00:22:13,040 --> 00:22:14,240 Speaker 2: gonnat your hands or your shoes. 416 00:22:14,280 --> 00:22:16,760 Speaker 1: Yeah, you're gonna bring home salmonella for the family. 417 00:22:16,960 --> 00:22:20,359 Speaker 2: They And by the way, there have been several multi 418 00:22:20,359 --> 00:22:24,400 Speaker 2: state salamonella outbreaks in the past year, and backyard flocks 419 00:22:24,440 --> 00:22:27,240 Speaker 2: have contributed at least twelve hundred people getting sick with salmonella. 420 00:22:27,920 --> 00:22:32,199 Speaker 2: So we have to consider that first. They can also 421 00:22:32,400 --> 00:22:36,240 Speaker 2: give you a can'ty low bacter bacteria? 422 00:22:37,080 --> 00:22:40,159 Speaker 1: Oh that's bad, And I can't tell you how. I 423 00:22:40,600 --> 00:22:42,080 Speaker 1: just remember that from a story. 424 00:22:42,320 --> 00:22:46,639 Speaker 2: Diarrhea, fever and stomach cramps and people. Yeah, and if 425 00:22:46,720 --> 00:22:49,760 Speaker 2: you have a weakened immune system, worse things can happen. 426 00:22:50,640 --> 00:22:52,480 Speaker 2: So they want to warn you before you decide to 427 00:22:52,520 --> 00:22:55,960 Speaker 2: take in chickens. You also may want to have coop shoes, 428 00:22:56,320 --> 00:22:58,560 Speaker 2: those who use only when you interact with the chickens 429 00:22:58,560 --> 00:23:01,879 Speaker 2: and don't wear them anywhere else. Wash your hands completely, 430 00:23:02,000 --> 00:23:04,639 Speaker 2: use hands, Senate, I could do it that eggs. I 431 00:23:04,840 --> 00:23:07,239 Speaker 2: just you don't need mush eggs, do you? 432 00:23:08,240 --> 00:23:08,560 Speaker 1: I do? 433 00:23:08,760 --> 00:23:09,360 Speaker 2: Actually, but. 434 00:23:10,880 --> 00:23:13,960 Speaker 1: No I don't. I mean I like them, but it's 435 00:23:14,000 --> 00:23:17,080 Speaker 1: just I don't get too much trouble too much. Bagels 436 00:23:17,080 --> 00:23:18,520 Speaker 1: are easy, all right. 437 00:23:18,560 --> 00:23:21,160 Speaker 2: We got more coming up. Johnny KENKFI AM six forty 438 00:23:21,200 --> 00:23:24,000 Speaker 2: live everywhere the iHeart Radio app. We're on from one 439 00:23:24,280 --> 00:23:28,479 Speaker 2: until four o'clock, and right after four we'll post up 440 00:23:28,520 --> 00:23:30,520 Speaker 2: the three hours of the show. So if you don't 441 00:23:30,520 --> 00:23:34,639 Speaker 2: hear it live, use the iHeartRadio app or go to 442 00:23:34,760 --> 00:23:40,720 Speaker 2: KFI AM six forty dot com to access the podcast tomorrow. 443 00:23:40,920 --> 00:23:43,800 Speaker 2: Right at this time, we'll be playing Moistline around two. 444 00:23:44,720 --> 00:23:47,080 Speaker 2: There were two rounds at three twenty and three fifty 445 00:23:47,320 --> 00:23:48,560 Speaker 2: you want to be a part of it, leave a 446 00:23:48,640 --> 00:23:52,520 Speaker 2: message using the iHeartRadio app. The microphone icon is the 447 00:23:52,560 --> 00:23:55,360 Speaker 2: way you leave a message there. Call the toll free 448 00:23:55,400 --> 00:23:57,920 Speaker 2: number one eight seven seven moist eighty six tent eighty 449 00:23:57,960 --> 00:24:01,080 Speaker 2: seven seven six six four seven eight eights. 450 00:24:00,960 --> 00:24:03,560 Speaker 1: And there are still vacancies available on the moist slide. 451 00:24:03,720 --> 00:24:04,159 Speaker 1: Vacan is. 452 00:24:05,680 --> 00:24:08,199 Speaker 2: All right, pull up a seats, leave a message because 453 00:24:08,240 --> 00:24:11,280 Speaker 2: tomorrow we'll be playing those calls, so you're running out 454 00:24:11,280 --> 00:24:14,679 Speaker 2: of time to do that. It probably wasn't a story 455 00:24:14,680 --> 00:24:18,320 Speaker 2: that bothered me more this week than the one that 456 00:24:18,400 --> 00:24:24,320 Speaker 2: The Daily Male did on people who go on social media, 457 00:24:24,320 --> 00:24:29,320 Speaker 2: and of course it's to make money, and what they 458 00:24:29,480 --> 00:24:37,200 Speaker 2: do to entertain others is binge eat, binge eat fries, 459 00:24:37,560 --> 00:24:43,160 Speaker 2: chicken nuggets, hamburgers. They sit there and people watch them, 460 00:24:43,160 --> 00:24:46,200 Speaker 2: and I guess there's some sort of advertiser cash flow. 461 00:24:46,240 --> 00:24:52,280 Speaker 1: These these are the most disgusting, repulsive beasts you will 462 00:24:52,320 --> 00:24:53,400 Speaker 1: ever see, some of them. 463 00:24:53,480 --> 00:24:59,040 Speaker 2: I mean, Nicholas Perry, better known as Nakado Avocado, allegedly 464 00:24:59,080 --> 00:25:02,600 Speaker 2: has three and a half milli YouTube followers. He's from 465 00:25:02,680 --> 00:25:07,359 Speaker 2: Pennsylvania and he binge eats incredible amounts of food and 466 00:25:07,480 --> 00:25:09,960 Speaker 2: actually documents how much weight he has gained. 467 00:25:10,600 --> 00:25:13,040 Speaker 1: But I only have a black and white photo. I'm 468 00:25:13,080 --> 00:25:15,760 Speaker 1: never going to watch any video of this guy because 469 00:25:15,880 --> 00:25:17,280 Speaker 1: just in the black and white voter. First of all, 470 00:25:17,320 --> 00:25:18,360 Speaker 1: he's not wearing a shirt. 471 00:25:19,080 --> 00:25:20,800 Speaker 2: He's not you can see the rolls of fact. Did 472 00:25:20,840 --> 00:25:22,760 Speaker 2: you see the picture of him from a few years earlier, 473 00:25:23,280 --> 00:25:28,320 Speaker 2: from twenty sixteen. He looks like before he started all this, No, 474 00:25:29,000 --> 00:25:32,600 Speaker 2: he was a thin, good looking guy. And now he's 475 00:25:32,720 --> 00:25:37,359 Speaker 2: crouched over a table full of mostly McDonald's foods, and 476 00:25:37,400 --> 00:25:41,119 Speaker 2: he's actually wearing one of those masks, a breathing mask. 477 00:25:41,240 --> 00:25:43,120 Speaker 1: He looks like he's five hundred pounds. 478 00:25:43,840 --> 00:25:47,000 Speaker 2: Yes, And I'm looking at the color photo and I 479 00:25:47,040 --> 00:25:47,639 Speaker 2: can't do that. 480 00:25:47,760 --> 00:25:50,119 Speaker 1: It actually makes me gag looking at him. It is 481 00:25:50,160 --> 00:25:54,480 Speaker 1: so gross because he's topless, he's not wearing a shirt, 482 00:25:54,720 --> 00:26:03,119 Speaker 1: and he's got this gigantic sack of dangling over his 483 00:26:03,280 --> 00:26:04,399 Speaker 1: shorts or pans. 484 00:26:04,400 --> 00:26:08,320 Speaker 2: In front of him are mounds of French fries, nuggets, hamburgers, 485 00:26:08,600 --> 00:26:10,160 Speaker 2: and he sauces. 486 00:26:09,880 --> 00:26:12,719 Speaker 1: And he's wearing a breathing tube because he can't sleep. 487 00:26:12,760 --> 00:26:14,400 Speaker 1: He probably has sleep app near. 488 00:26:15,960 --> 00:26:18,359 Speaker 2: There's another picture of him behind the wheel of a car. 489 00:26:18,520 --> 00:26:22,520 Speaker 2: Trying to consume an entire pizza with sauce all over 490 00:26:22,560 --> 00:26:27,119 Speaker 2: his face. I'm bothered more by who would want to 491 00:26:27,119 --> 00:26:29,680 Speaker 2: watch this? I don't understand. Why would you want to 492 00:26:29,680 --> 00:26:32,720 Speaker 2: watch somebody pig out? Yeah, and they find it funny? 493 00:26:32,760 --> 00:26:36,400 Speaker 2: Is it funny? Or I don't understand who would watch 494 00:26:36,480 --> 00:26:37,400 Speaker 2: these videos? 495 00:26:37,440 --> 00:26:40,119 Speaker 1: There are so many brainstems out there. I mean, he 496 00:26:40,240 --> 00:26:44,119 Speaker 1: is three and a half million YouTube followers three and often. 497 00:26:43,880 --> 00:26:46,159 Speaker 2: Eats an excess of ten thousand calories in front of 498 00:26:46,160 --> 00:26:49,720 Speaker 2: the camera in videos with titles such as I Hate myself, 499 00:26:49,760 --> 00:26:53,840 Speaker 2: goodbye YouTube in life celebrating my seven hundred pound milestone. 500 00:26:53,920 --> 00:26:56,320 Speaker 1: This is mental illness. Listen to what he does. In 501 00:26:56,359 --> 00:27:00,200 Speaker 1: one video, he's seen sobbing while shaving his hair off 502 00:27:00,200 --> 00:27:03,760 Speaker 1: into a plate of eggs. In another video, he smears 503 00:27:04,800 --> 00:27:11,119 Speaker 1: cheeto colored ramen noodles all over his face, and he's 504 00:27:11,240 --> 00:27:15,600 Speaker 1: seen having screaming matches with his now ex husband Orland Orland, 505 00:27:15,840 --> 00:27:17,040 Speaker 1: Oh my god, somebody's sleeping. 506 00:27:17,200 --> 00:27:20,840 Speaker 2: His net worth is supposedly seven million dollars. He bought 507 00:27:20,840 --> 00:27:22,000 Speaker 2: a penthouse in Vegas. 508 00:27:22,920 --> 00:27:25,160 Speaker 1: Well, if you have three and a half million followers, 509 00:27:26,600 --> 00:27:29,040 Speaker 1: that is gonna because sometimes I think those numbers are fake. 510 00:27:29,080 --> 00:27:32,399 Speaker 2: That's why I said allegedly. But wow, it's apparently turning 511 00:27:32,400 --> 00:27:34,640 Speaker 2: into a cash flow if this is to be believed. 512 00:27:34,680 --> 00:27:38,040 Speaker 1: He sold somebody on the validity of those numbers. 513 00:27:38,359 --> 00:27:41,480 Speaker 2: He's wearing a bypap machine for obese people to help 514 00:27:41,600 --> 00:27:45,399 Speaker 2: breathe as they sleep. He's complained the blurry vision painted 515 00:27:45,440 --> 00:27:49,680 Speaker 2: his abdomen and testicular areas, irrectile dysfunction and frequent diarrhea. 516 00:27:50,000 --> 00:27:53,600 Speaker 1: You know, come on you is that a studio too? 517 00:27:55,080 --> 00:27:57,080 Speaker 1: I told you it was the worst story of the WIE. 518 00:27:57,160 --> 00:28:02,040 Speaker 1: This is so overwhelmingly disguised. For this reason alone, YouTube 519 00:28:02,080 --> 00:28:02,960 Speaker 1: should be shut down. 520 00:28:04,280 --> 00:28:07,000 Speaker 2: Did you see this TikTok star named Waffler sixty nine. 521 00:28:07,040 --> 00:28:10,119 Speaker 2: He's a no named Taylor le June. Well he's dead, 522 00:28:10,760 --> 00:28:13,280 Speaker 2: but he gained internet fame for the same thing, eating 523 00:28:13,280 --> 00:28:17,640 Speaker 2: a whole bunch of food and sometimes he ate expired foods. Well, 524 00:28:17,640 --> 00:28:20,720 Speaker 2: there's a dare. He had one point seven million followers, 525 00:28:20,720 --> 00:28:23,920 Speaker 2: but he died of a suspected heart attack a couple 526 00:28:23,960 --> 00:28:27,880 Speaker 2: of years ago at age thirty three. Well, yeah, that's 527 00:28:27,880 --> 00:28:30,919 Speaker 2: what the world we live in to watch this and 528 00:28:31,040 --> 00:28:33,440 Speaker 2: contribute to these people's. 529 00:28:33,400 --> 00:28:35,280 Speaker 1: You know what? I read an article I read an 530 00:28:35,400 --> 00:28:39,320 Speaker 1: article the other day about how the world got stupid 531 00:28:39,320 --> 00:28:42,720 Speaker 1: over the last ten years, and it's all from internet, 532 00:28:42,720 --> 00:28:45,640 Speaker 1: social media, and it really changed the culture. And now 533 00:28:46,040 --> 00:28:50,760 Speaker 1: there's just millions wallowing in stupidville and this is what 534 00:28:50,800 --> 00:28:54,920 Speaker 1: they do all day. It's disgusting, just absolutely disgusting. But 535 00:28:55,360 --> 00:28:58,520 Speaker 1: you know, they're all they're gonna all leave the planet soon. 536 00:28:59,440 --> 00:29:01,560 Speaker 2: I guess if eat that much food, you were going 537 00:29:01,600 --> 00:29:03,240 Speaker 2: to leave the planet sooner than the rest of us. 538 00:29:03,520 --> 00:29:03,720 Speaker 6: Uh. 539 00:29:03,800 --> 00:29:06,640 Speaker 7: Conways here, you know, I thank you very much greater introduction. 540 00:29:07,160 --> 00:29:09,920 Speaker 7: But I remember you saying at one point in your 541 00:29:09,960 --> 00:29:12,640 Speaker 7: life that you could the least favorite meal you could 542 00:29:12,680 --> 00:29:14,920 Speaker 7: possibly imagine is a fish taco. 543 00:29:15,560 --> 00:29:15,840 Speaker 1: Yes? 544 00:29:16,240 --> 00:29:18,080 Speaker 8: Right, So why does it smell like fish in here? 545 00:29:18,120 --> 00:29:21,240 Speaker 1: Did you have fish? No, some idiot must have microwaved 546 00:29:21,240 --> 00:29:25,320 Speaker 1: a fish taco. It smelled like this three hours ago. Really, yes, 547 00:29:26,000 --> 00:29:27,440 Speaker 1: first thing, I said, what is that? 548 00:29:28,480 --> 00:29:28,680 Speaker 6: Oh? 549 00:29:28,760 --> 00:29:31,120 Speaker 2: I heard them they had Korean food in there, and 550 00:29:31,160 --> 00:29:32,920 Speaker 2: they wondered if you were going to be bothered. I 551 00:29:32,960 --> 00:29:36,720 Speaker 2: heard the show Gary and Shannon something about Korean. 552 00:29:36,360 --> 00:29:38,800 Speaker 8: Food, that all business thing with a Korean restaurant. 553 00:29:38,800 --> 00:29:39,240 Speaker 1: Oh, I love it. 554 00:29:39,440 --> 00:29:41,800 Speaker 2: Well that's what it was. Okay, they thought John would 555 00:29:41,800 --> 00:29:43,480 Speaker 2: flip out, but they said they sprayed and tried to 556 00:29:43,520 --> 00:29:45,000 Speaker 2: do everything they could to cover I can't. 557 00:29:45,040 --> 00:29:45,760 Speaker 1: I can't take. 558 00:29:46,760 --> 00:29:49,000 Speaker 2: I love Korean foods. Off in beef, is it not. 559 00:29:49,560 --> 00:29:51,160 Speaker 8: I had Kim Chief for lunch. 560 00:29:51,320 --> 00:29:51,800 Speaker 1: I just can't. 561 00:29:52,680 --> 00:29:53,680 Speaker 8: But there was also cod. 562 00:29:54,120 --> 00:29:56,800 Speaker 2: There's there's certain oh god, there's certain kinds of fett 563 00:29:56,880 --> 00:29:59,280 Speaker 2: that you got it, Tim God, certain kinds of fish 564 00:29:59,320 --> 00:30:02,200 Speaker 2: odors I can't take. I agree with John, that's one 565 00:30:02,240 --> 00:30:04,880 Speaker 2: of them. And certain vegetables are awful. But yeah, there's 566 00:30:04,880 --> 00:30:06,360 Speaker 2: some fisholders that are really bad. 567 00:30:06,520 --> 00:30:09,480 Speaker 7: Yeah, it's that should be the first rule of radio. 568 00:30:10,520 --> 00:30:11,360 Speaker 1: No fish. 569 00:30:11,560 --> 00:30:11,640 Speaker 4: No. 570 00:30:11,880 --> 00:30:13,280 Speaker 2: They're trying to help out a small business. 571 00:30:13,280 --> 00:30:14,360 Speaker 8: I get it, I get it. But there's a lot 572 00:30:14,360 --> 00:30:15,440 Speaker 8: of other things on the menu. 573 00:30:16,080 --> 00:30:20,040 Speaker 1: Yeah, just not in an enclosed environment when that's ventilation. 574 00:30:21,640 --> 00:30:22,880 Speaker 8: Yeah, take a fish in the track. 575 00:30:23,600 --> 00:30:25,640 Speaker 2: He never complained the whole show till you brought it up. 576 00:30:25,840 --> 00:30:26,720 Speaker 1: Is that right? Wow? 577 00:30:26,960 --> 00:30:28,400 Speaker 2: He never said anything on the air. Now that's why 578 00:30:28,400 --> 00:30:28,920 Speaker 2: I didn't. 579 00:30:29,000 --> 00:30:30,760 Speaker 1: I guess I got used to it after a while. 580 00:30:30,840 --> 00:30:32,400 Speaker 1: But when I first walked in here, it was like, 581 00:30:32,440 --> 00:30:33,720 Speaker 1: oh geez. 582 00:30:33,360 --> 00:30:34,240 Speaker 2: You never complained. 583 00:30:35,280 --> 00:30:36,120 Speaker 8: It doesn't seem like you. 584 00:30:36,600 --> 00:30:38,920 Speaker 2: Yeah, exactly what happened. 585 00:30:39,520 --> 00:30:42,280 Speaker 7: Jason Nathanson's coming out to talk about Alec Baldwin, and 586 00:30:42,320 --> 00:30:44,560 Speaker 7: he's in trouble, you know, because the state of New Mexico, 587 00:30:44,680 --> 00:30:47,040 Speaker 7: like every state in the United States, they don't care 588 00:30:47,080 --> 00:30:49,560 Speaker 7: if you're at a party or shooting a movie. You know, 589 00:30:49,600 --> 00:30:51,160 Speaker 7: just because you're shooting a movie doesn't give you a 590 00:30:51,160 --> 00:30:52,520 Speaker 7: carte blanche to kill anybody. 591 00:30:52,760 --> 00:30:54,200 Speaker 2: Yeah, that's a good point, you know. 592 00:30:54,360 --> 00:30:56,600 Speaker 7: I mean if these people were just at a party 593 00:30:56,640 --> 00:30:58,240 Speaker 7: playing with a gun, they would be in the same 594 00:30:58,240 --> 00:30:58,840 Speaker 7: amount of trouble. 595 00:30:59,000 --> 00:31:00,760 Speaker 1: I know. No, you can't just say whoops, this is 596 00:31:01,080 --> 00:31:03,160 Speaker 1: this is really not a controversial You can. 597 00:31:03,120 --> 00:31:04,880 Speaker 8: Special treatment because you're a movie star. 598 00:31:05,000 --> 00:31:08,160 Speaker 1: Yeah, you shot somebody, You pulled the trigger and she died. 599 00:31:08,440 --> 00:31:11,000 Speaker 7: Dean Sharp's coming on with us too, and he's always cool. 600 00:31:11,000 --> 00:31:14,240 Speaker 7: At six twenty plus, David Crosby's passed away from Crosby, 601 00:31:14,360 --> 00:31:15,360 Speaker 7: Stills and Nash. 602 00:31:15,440 --> 00:31:17,200 Speaker 8: He did, Yeah, eighty one, that's one. 603 00:31:17,600 --> 00:31:18,840 Speaker 2: Had liver went a long way. 604 00:31:18,920 --> 00:31:20,440 Speaker 1: Can you believe he made it to eighty one. 605 00:31:20,800 --> 00:31:23,680 Speaker 2: Yeah, that liver was nineteen ninety four, so it served 606 00:31:23,720 --> 00:31:26,360 Speaker 2: him well well, I think wait, he got one liver 607 00:31:26,400 --> 00:31:28,960 Speaker 2: transplant or two? Oh, he got a second one, didn't he. 608 00:31:29,040 --> 00:31:29,440 Speaker 8: I think he. 609 00:31:29,640 --> 00:31:31,960 Speaker 7: The first one was from a nun, a Catholic nun. 610 00:31:32,600 --> 00:31:35,000 Speaker 7: And you imagine a shock that that liver went through 611 00:31:35,880 --> 00:31:36,760 Speaker 7: Holy Christ? 612 00:31:37,320 --> 00:31:42,720 Speaker 2: Howd I get in here? And if a liver could talk? 613 00:31:43,720 --> 00:31:46,040 Speaker 7: The first liver that they took, the second liver, the 614 00:31:46,160 --> 00:31:48,440 Speaker 7: nun's liver they took out, had a rosary around it, 615 00:31:49,880 --> 00:31:54,320 Speaker 7: but it was doing the rosary praying for the soul 616 00:31:54,360 --> 00:31:54,760 Speaker 7: of David. 617 00:31:57,760 --> 00:31:58,560 Speaker 1: I didn't know that. 618 00:31:58,560 --> 00:32:00,200 Speaker 2: That's true story, man Die said. 619 00:32:00,240 --> 00:32:06,800 Speaker 1: Listen to us. Well, look he drank a lot, all right, 620 00:32:07,120 --> 00:32:10,880 Speaker 1: com tig dog, Let's get out of here. Michael crushes 621 00:32:10,880 --> 00:32:14,840 Speaker 1: the news camp Fish live. Well, he's got it live 622 00:32:14,880 --> 00:32:16,240 Speaker 1: in the twenty four hour Cafine news run