1 00:00:00,000 --> 00:00:02,720 Speaker 1: We're on from one to four every day, and if 2 00:00:02,759 --> 00:00:04,600 Speaker 1: you miss it or you miss part of it, you 3 00:00:04,640 --> 00:00:07,040 Speaker 1: can go to the iHeart Radio app and listen to 4 00:00:07,040 --> 00:00:10,119 Speaker 1: the podcast Johnny Kenn on demand. All right, and also 5 00:00:10,280 --> 00:00:11,760 Speaker 1: right off the bat, we can tell you that the 6 00:00:11,800 --> 00:00:15,440 Speaker 1: Moistline is ready to take your call. There are openings 7 00:00:15,480 --> 00:00:17,360 Speaker 1: for this week. It's going to play on Friday during 8 00:00:17,400 --> 00:00:20,319 Speaker 1: the three o'clock hour, So use the iHeartRadio app to 9 00:00:20,360 --> 00:00:22,919 Speaker 1: connect to the Moist Line. There's a microphone icon you 10 00:00:22,920 --> 00:00:25,480 Speaker 1: can leave a message directly there, or of course, the 11 00:00:25,600 --> 00:00:27,960 Speaker 1: toll free number for you one eight seven seven moist 12 00:00:27,960 --> 00:00:32,240 Speaker 1: eighty six one eight seven seven six six four seven 13 00:00:32,360 --> 00:00:36,159 Speaker 1: eight eight six. How about Lebron Was that exciting or 14 00:00:36,360 --> 00:00:40,239 Speaker 1: it was exciting? They lost? Well, I knew they were 15 00:00:40,240 --> 00:00:45,240 Speaker 1: gonna lose. I didn't watch the game to see them win. 16 00:00:45,400 --> 00:00:48,240 Speaker 1: I watched it to see him break the record. Now, 17 00:00:48,320 --> 00:00:50,360 Speaker 1: the Thunder, they're shooting the lights out there. When I 18 00:00:50,400 --> 00:00:52,800 Speaker 1: was watching, three pointers are just flying everywhere. Twelve in 19 00:00:52,840 --> 00:00:55,760 Speaker 1: the first half. Yeah, it's like I thought they were 20 00:00:55,840 --> 00:00:58,000 Speaker 1: kind of an average team. I guess the one hundred 21 00:00:58,560 --> 00:01:01,360 Speaker 1: Lakers gave up one hundred and thirty three points. The 22 00:01:01,600 --> 00:01:04,440 Speaker 1: team that wouldn't even make the playoffs today. It's like 23 00:01:04,480 --> 00:01:06,640 Speaker 1: a like an All Star game? Was it? What? What? 24 00:01:06,640 --> 00:01:11,200 Speaker 1: What's going on? I don't know a lot, but I 25 00:01:11,319 --> 00:01:15,000 Speaker 1: was exciting to watch him. Yeah, get the record. And then, 26 00:01:15,160 --> 00:01:18,160 Speaker 1: of course there's the other thing that happened, Biden State 27 00:01:18,200 --> 00:01:21,600 Speaker 1: of the Union. I did not watch it, like Clarence Thomas. 28 00:01:22,000 --> 00:01:27,000 Speaker 1: I boycotted the event. Were you and Clarence together? Yeah, 29 00:01:27,000 --> 00:01:30,720 Speaker 1: we were together. We were watching Lebron's right. Enjoyed the 30 00:01:30,760 --> 00:01:33,880 Speaker 1: game even though the Lakers lost. It was something happening there. 31 00:01:34,000 --> 00:01:37,479 Speaker 1: Four of the Supreme Court justices did not attend. Oh 32 00:01:37,520 --> 00:01:40,280 Speaker 1: it did turn out to be four. Yeah, but that 33 00:01:40,400 --> 00:01:42,360 Speaker 1: was And who was the person that was secreted away? 34 00:01:42,360 --> 00:01:46,200 Speaker 1: In case everyone blew up? U see some obscure cabinet 35 00:01:46,200 --> 00:01:50,600 Speaker 1: person or some secretary of labor? I think who is 36 00:01:51,160 --> 00:01:54,000 Speaker 1: who is leaving as an joke? Who's leaving the job 37 00:01:54,120 --> 00:01:59,800 Speaker 1: soon to become the head of the National Hockey League 38 00:01:59,800 --> 00:02:06,000 Speaker 1: Plays Association Players Union. That's a strange transition. Yeah, Martie Walsh, Yes, 39 00:02:06,440 --> 00:02:08,360 Speaker 1: Marty walk I'd never heard of him. I didn't know 40 00:02:08,400 --> 00:02:12,000 Speaker 1: he was the secretary of labor. And he's leaving anyway, huh. 41 00:02:12,160 --> 00:02:14,520 Speaker 1: I noticed you picked up the not a joke thing, though, 42 00:02:16,280 --> 00:02:18,799 Speaker 1: is Biden's. I just love that one. I'll tell you 43 00:02:18,840 --> 00:02:21,400 Speaker 1: this story, not a joke, not a joke, not a joke, 44 00:02:22,360 --> 00:02:26,440 Speaker 1: it's not a joke. That stupid stonder if he's rubbing 45 00:02:26,520 --> 00:02:30,120 Speaker 1: off on you. Hey, secretly watched last night. I think 46 00:02:30,120 --> 00:02:33,560 Speaker 1: I've got early stage. So now there was one person 47 00:02:33,600 --> 00:02:35,560 Speaker 1: who stood out. While there's a lot of things, will 48 00:02:35,600 --> 00:02:38,440 Speaker 1: play some audio coming up, but the one one person 49 00:02:38,440 --> 00:02:42,080 Speaker 1: who stood out, probably above or else in terms of appearance, 50 00:02:43,080 --> 00:02:47,000 Speaker 1: was old Bernie Sanders. Old Bernie was the only one 51 00:02:47,160 --> 00:02:51,040 Speaker 1: wearing a mask that last night, stated the union of address, Bernie. 52 00:02:51,040 --> 00:02:54,560 Speaker 1: It's not twenty twenty anymore. It's not even twenty twenty one. 53 00:02:54,600 --> 00:02:59,040 Speaker 1: If you want to be polite about it or charitable. Yeah, 54 00:02:59,080 --> 00:03:01,920 Speaker 1: And he was noticed by many people who took to 55 00:03:01,960 --> 00:03:06,320 Speaker 1: Twitter to comment on it. Some were supportive. That's cracked 56 00:03:06,320 --> 00:03:10,040 Speaker 1: me up that some people went on Twitter and used 57 00:03:10,040 --> 00:03:13,840 Speaker 1: their real names to applaud Bernie for wearing a mask. 58 00:03:15,040 --> 00:03:18,120 Speaker 1: Wearing a mask to a former Sanders delegate in the 59 00:03:18,160 --> 00:03:23,040 Speaker 1: twenty sixteen presidential election, Stephanie Quileo, what a great image 60 00:03:23,040 --> 00:03:28,000 Speaker 1: of leadership, acknowledging that COVID is still happening. More reason 61 00:03:28,040 --> 00:03:30,960 Speaker 1: why Bernie's the most popular Democrat in the US. Boy, 62 00:03:31,120 --> 00:03:34,600 Speaker 1: Stephanie must be a fun party girl. Huh, she's praising 63 00:03:34,680 --> 00:03:37,360 Speaker 1: Bernie Sanders for wearing a mask three years late. He 64 00:03:37,480 --> 00:03:41,320 Speaker 1: trudges in there in a mask that Saturday night, Stephanie. 65 00:03:41,400 --> 00:03:43,600 Speaker 1: That on that ont to be exciting. But that gives 66 00:03:43,640 --> 00:03:46,360 Speaker 1: you an idea. As we pointed out, that's that small 67 00:03:46,480 --> 00:03:49,880 Speaker 1: segment wing of the party and of the US population 68 00:03:50,680 --> 00:03:55,400 Speaker 1: generally that's in this category, right, the Bernie Sanders kind 69 00:03:55,440 --> 00:04:00,160 Speaker 1: of a belief system ideology, which also lops over into COVID. 70 00:04:00,200 --> 00:04:03,200 Speaker 1: Where what are you people doing? This is still a pandemic. 71 00:04:03,600 --> 00:04:07,240 Speaker 1: People are dying. I guess wear the mask. Nobody dies. 72 00:04:07,320 --> 00:04:10,520 Speaker 1: He doesn't see the study of seventy eight studies that 73 00:04:10,560 --> 00:04:13,080 Speaker 1: said mask wearing doesn't have any real effect. Yeah, we 74 00:04:13,120 --> 00:04:16,880 Speaker 1: did talk about that yesterday, very comprehensive study that it 75 00:04:16,960 --> 00:04:21,960 Speaker 1: probably has little effect on flu COVID or germ phobia 76 00:04:22,440 --> 00:04:26,560 Speaker 1: or any type of those things. But to me, it's 77 00:04:26,560 --> 00:04:30,640 Speaker 1: a security blanket. That's why I think people wear the mask. 78 00:04:31,080 --> 00:04:32,919 Speaker 1: Whether they read the research or not, or whether or 79 00:04:32,920 --> 00:04:35,680 Speaker 1: not they care or not. You say yes, it's virtual signally, 80 00:04:35,680 --> 00:04:37,960 Speaker 1: but it's also their security blanket. They just feel a 81 00:04:38,000 --> 00:04:40,960 Speaker 1: little safer, right because he thinks there's cooties flying in 82 00:04:41,000 --> 00:04:43,719 Speaker 1: the air, COVID cooties, and he doesn't want to inhale 83 00:04:43,800 --> 00:04:46,440 Speaker 1: him into those eighty one year old lungs who knows 84 00:04:46,480 --> 00:04:49,680 Speaker 1: what condition they're in, and old Joe did not disappoint. 85 00:04:49,760 --> 00:04:52,760 Speaker 1: Will kick off the audio with Joe. Of course, when 86 00:04:52,760 --> 00:04:55,279 Speaker 1: he finally gets up there to begin speaking in the 87 00:04:55,320 --> 00:05:00,560 Speaker 1: House of Representatives, he has to acknowledge those present, including, 88 00:05:00,600 --> 00:05:03,520 Speaker 1: of course the man that leads the Senate Democrats, Chuck 89 00:05:03,560 --> 00:05:07,480 Speaker 1: Schumer from New York. And this is what happened graduation, 90 00:05:07,520 --> 00:05:11,880 Speaker 1: the Chuck Schumer. Another uh, you know, another term is 91 00:05:12,600 --> 00:05:17,160 Speaker 1: Senate minority leader. You know, I think you, oh, this 92 00:05:17,320 --> 00:05:20,200 Speaker 1: time you have a slightly bigger majority, mister leader, you're 93 00:05:20,200 --> 00:05:25,839 Speaker 1: in a majority leader, but that much bigger he came around, 94 00:05:26,800 --> 00:05:29,680 Speaker 1: you know, when he Senate was fifty fifty, which means yes, 95 00:05:29,880 --> 00:05:32,760 Speaker 1: technically he was a majority leader because the vice president 96 00:05:32,760 --> 00:05:35,160 Speaker 1: can break the ties, right, but now they're up fifty 97 00:05:35,160 --> 00:05:39,080 Speaker 1: one forty nine clear majority leader body was demoted. He 98 00:05:39,480 --> 00:05:45,400 Speaker 1: became the minority league leading leader. In Biden's foggy, baffled mind. 99 00:05:45,640 --> 00:05:47,360 Speaker 1: And the thing is that clip gives a good idea 100 00:05:47,400 --> 00:05:49,120 Speaker 1: to how his mind works. It was kind of like 101 00:05:49,160 --> 00:05:51,279 Speaker 1: after he said it's something a little triggered in his 102 00:05:51,360 --> 00:05:53,320 Speaker 1: brain that wait a minute, wait, that's a that's a 103 00:05:53,480 --> 00:05:55,599 Speaker 1: that's not the right news. He knew it was wrong, 104 00:05:55,680 --> 00:05:57,479 Speaker 1: and then he had to figure out why it was wrong. 105 00:05:57,920 --> 00:06:01,440 Speaker 1: Play the clip again you you'll see the transition, yes, 106 00:06:01,760 --> 00:06:05,840 Speaker 1: trad y to the Chuck Schumer another uh you know, 107 00:06:05,880 --> 00:06:10,520 Speaker 1: another term was Senate minority leader. You know, I think 108 00:06:10,560 --> 00:06:14,240 Speaker 1: you h this time you have a slightly bigger majority, 109 00:06:14,279 --> 00:06:20,680 Speaker 1: mister leader, you're in a majority leaders. Did he get 110 00:06:20,720 --> 00:06:22,560 Speaker 1: signaled or did he figure that out on his own? 111 00:06:22,640 --> 00:06:25,479 Speaker 1: I don't know. I don't know, because he started out 112 00:06:25,520 --> 00:06:27,839 Speaker 1: with a lot of confidence, right, his voice was strong, 113 00:06:28,320 --> 00:06:31,760 Speaker 1: and then he couldn't quite remember who it was or 114 00:06:31,760 --> 00:06:34,160 Speaker 1: what his title was, right, And then he realized he 115 00:06:34,240 --> 00:06:36,040 Speaker 1: got it wrong, but he still couldn't figure it out 116 00:06:36,080 --> 00:06:38,320 Speaker 1: how to correct it, and then he ended up calling 117 00:06:38,360 --> 00:06:44,960 Speaker 1: a mister leaders leader. Good all right. The next clip, 118 00:06:45,000 --> 00:06:48,960 Speaker 1: we have Old Joe, like many Democratic presidents before him, 119 00:06:48,960 --> 00:06:51,320 Speaker 1: miss thinking about taxes. But of course, the popular thing 120 00:06:51,400 --> 00:06:53,720 Speaker 1: now is to go after the very wealthy California likes 121 00:06:53,720 --> 00:06:55,240 Speaker 1: to talk about it all the time. We are proposing 122 00:06:55,240 --> 00:06:58,800 Speaker 1: a wealth tax on billionaires. Uh, here's Joe. I don't 123 00:06:58,800 --> 00:07:02,080 Speaker 1: even Crystal Claire. I said at the very beginning, under 124 00:07:02,120 --> 00:07:05,320 Speaker 1: my plans, as long as I'm president, nobody earning less 125 00:07:05,320 --> 00:07:08,279 Speaker 1: than four hundred thousand dollars will pay an additional penny 126 00:07:08,320 --> 00:07:13,520 Speaker 1: in taxes. Nobody, not one passing figure. Well less, finish 127 00:07:13,560 --> 00:07:17,880 Speaker 1: the job. There's more to do. Good job. We have 128 00:07:17,920 --> 00:07:22,960 Speaker 1: to reward work, not just wealth. Past my proposal for 129 00:07:23,040 --> 00:07:26,120 Speaker 1: the STA a second, we have to reward work, not 130 00:07:26,200 --> 00:07:28,280 Speaker 1: just wealth. Where do you think the wealth comes from? 131 00:07:28,320 --> 00:07:31,640 Speaker 1: The wealth comes from work. I know what kind of 132 00:07:31,720 --> 00:07:35,600 Speaker 1: buggy headed fool is he. You can't get wealth without 133 00:07:35,640 --> 00:07:38,280 Speaker 1: somebody doing the work. And once they do the work 134 00:07:38,280 --> 00:07:42,440 Speaker 1: and get the wealth, it's their money, not yours. Some 135 00:07:42,480 --> 00:07:44,520 Speaker 1: people took this as a signal that he's going after 136 00:07:44,560 --> 00:07:47,240 Speaker 1: the tech people, you know, because they have a lot 137 00:07:47,280 --> 00:07:50,120 Speaker 1: of the billionaires these days. Well, they'll bribe their way 138 00:07:50,120 --> 00:07:54,080 Speaker 1: out of that tax. They Yeah, So it's a billionaire 139 00:07:54,200 --> 00:07:57,400 Speaker 1: minimum tax, is what he threw out there. It won't 140 00:07:57,440 --> 00:07:59,720 Speaker 1: go anywhere in this divided Congress anyway. But it's always 141 00:07:59,760 --> 00:08:01,760 Speaker 1: a new thing to see what new ideas they come 142 00:08:01,840 --> 00:08:04,160 Speaker 1: up with. Is there twenty four seconds worth it? Yeah, 143 00:08:04,480 --> 00:08:08,800 Speaker 1: you have the reward work not just as well past 144 00:08:08,880 --> 00:08:13,480 Speaker 1: my proposal for the billionaire minimum tax. You know there's 145 00:08:13,480 --> 00:08:15,920 Speaker 1: a thousand billionaires in America. It's up from about six 146 00:08:16,040 --> 00:08:19,960 Speaker 1: hundred and the beginning in return, but no billionaire should 147 00:08:19,960 --> 00:08:22,200 Speaker 1: be paying a lower tax rate than a school teacher 148 00:08:22,240 --> 00:08:27,520 Speaker 1: or a firefighter. I mean, think about it, but they don't. 149 00:08:28,200 --> 00:08:30,120 Speaker 1: This goes back to the old thing that a lot 150 00:08:30,160 --> 00:08:33,480 Speaker 1: of it is because they have they have holdings that 151 00:08:33,520 --> 00:08:35,560 Speaker 1: aren't being sold, so therefore they're not tax there. That's 152 00:08:35,559 --> 00:08:38,600 Speaker 1: just why California wants to do the wealth tax. When 153 00:08:38,720 --> 00:08:43,480 Speaker 1: you have stocks and you haven't sold the stocks, you 154 00:08:43,640 --> 00:08:47,280 Speaker 1: haven't earned the profit yet. It's one thing to tax 155 00:08:47,400 --> 00:08:50,840 Speaker 1: profit after you've cashed in your stock gains, but if 156 00:08:50,840 --> 00:08:54,560 Speaker 1: you haven't done it, it's only theoretical money which could 157 00:08:54,600 --> 00:08:57,920 Speaker 1: disappear any day. Any moment. You could have some kind 158 00:08:57,920 --> 00:09:00,880 Speaker 1: of stock market crash or that particular stock can fall apart, 159 00:09:01,480 --> 00:09:04,800 Speaker 1: So there is no wealth until you cash it in. 160 00:09:06,559 --> 00:09:09,640 Speaker 1: I mean, this is this is beyond communism. Now they're 161 00:09:09,640 --> 00:09:12,000 Speaker 1: not even grabbing what you have. They're grabbing what they 162 00:09:12,040 --> 00:09:16,320 Speaker 1: think you might have someday. And it's people who invest 163 00:09:16,520 --> 00:09:19,400 Speaker 1: that really help America get stronger and hire more people 164 00:09:19,400 --> 00:09:22,040 Speaker 1: and create more jobs. That's where the capital comes from. 165 00:09:22,080 --> 00:09:24,920 Speaker 1: And the way he said they goes, oh there's a 166 00:09:25,000 --> 00:09:27,560 Speaker 1: thousand billionaires there used to be six hundred. Well that's 167 00:09:27,600 --> 00:09:32,600 Speaker 1: a good thing. Imagine how many employees those four hundred 168 00:09:32,640 --> 00:09:36,680 Speaker 1: new billionaires, How many employees they have, how many jobs 169 00:09:36,720 --> 00:09:39,080 Speaker 1: they've created? Well, the companies they either own or invest in. 170 00:09:39,679 --> 00:09:42,360 Speaker 1: How much in taxes the corporation pays? How much in 171 00:09:42,440 --> 00:09:45,959 Speaker 1: taxes do those all all the employees pay. If these 172 00:09:46,120 --> 00:09:49,440 Speaker 1: thousand billionaires didn't get up in the morning for you know, 173 00:09:49,520 --> 00:09:54,160 Speaker 1: maybe fifty years and do all this work, none of 174 00:09:54,160 --> 00:09:57,600 Speaker 1: it would exist. Go to a country where they don't 175 00:09:57,640 --> 00:10:01,440 Speaker 1: have billionaires. You don't people working as hard as you 176 00:10:01,520 --> 00:10:04,920 Speaker 1: do in America. Maybe too much. Maybe it's successive here, 177 00:10:05,320 --> 00:10:07,839 Speaker 1: but that's how you create wealth. All right. Let me 178 00:10:07,920 --> 00:10:09,800 Speaker 1: come back another keyword for a chance for you to 179 00:10:09,840 --> 00:10:12,600 Speaker 1: win some money, become Well, we can't make you a billionaire, 180 00:10:12,640 --> 00:10:14,480 Speaker 1: but you'll be one thousand dollars Richard if you do 181 00:10:14,520 --> 00:10:17,080 Speaker 1: win the right test. But if you lay around doing nothing. 182 00:10:17,640 --> 00:10:22,000 Speaker 1: Then you don't make any money from KFI. Then we'll 183 00:10:22,040 --> 00:10:25,360 Speaker 1: play some of the controversy. The audience began to hoot 184 00:10:25,440 --> 00:10:29,280 Speaker 1: and jeer Biden uncertain subjects. Johnny Ken CAF I AM 185 00:10:29,360 --> 00:10:32,160 Speaker 1: six forty live everywhere, the iHeartRadio app Well, it started 186 00:10:32,200 --> 00:10:35,200 Speaker 1: a few State of the Union speeches back where. Every 187 00:10:35,200 --> 00:10:38,080 Speaker 1: now and then, somebody in the crowd. This would be 188 00:10:38,120 --> 00:10:40,720 Speaker 1: members of the House of Representatives and usually enough members 189 00:10:40,720 --> 00:10:45,960 Speaker 1: of the Senate, they yell out something. Remember years ago, liar, Remember, yeah, 190 00:10:46,000 --> 00:10:50,040 Speaker 1: the guy who yelled at Obama, you lie, who yelled 191 00:10:50,040 --> 00:10:51,959 Speaker 1: at Obama as a congressman from the South. I think 192 00:10:51,960 --> 00:10:55,559 Speaker 1: that yelled at Obama, you lie. Well it happened again. 193 00:10:55,760 --> 00:10:58,959 Speaker 1: It happened more than once during last night's speech. The 194 00:10:59,120 --> 00:11:01,400 Speaker 1: one thing I found him today. You know, when you 195 00:11:01,679 --> 00:11:04,320 Speaker 1: look at certain websites, you know what take they're gonna 196 00:11:04,400 --> 00:11:07,520 Speaker 1: have on Biden's speech, right, the one that was over 197 00:11:07,600 --> 00:11:10,040 Speaker 1: the top of some guy in USA today. He thought 198 00:11:10,040 --> 00:11:13,760 Speaker 1: it was unbelievable that that Biden controlled the room. He 199 00:11:13,840 --> 00:11:16,680 Speaker 1: put the Republicans in their place. He was feisty and 200 00:11:16,720 --> 00:11:20,319 Speaker 1: outspoken and on track and whatever. He eight that morning 201 00:11:20,320 --> 00:11:22,480 Speaker 1: for breakfast, we should all learn what it was because 202 00:11:22,600 --> 00:11:25,800 Speaker 1: he was really focused. Why does that little child need 203 00:11:25,840 --> 00:11:29,760 Speaker 1: a superhero because it's the other side and it isn't 204 00:11:29,800 --> 00:11:34,160 Speaker 1: the mentality of people who get emotionally invested in politicians, 205 00:11:34,360 --> 00:11:37,440 Speaker 1: especially seen a feeble ones. Yeah, but this one, that's 206 00:11:37,440 --> 00:11:39,319 Speaker 1: what they've been hearing for two years, which is a 207 00:11:39,360 --> 00:11:41,400 Speaker 1: correct assessment. But they're all like they're tired of it. 208 00:11:41,480 --> 00:11:43,320 Speaker 1: So they thought this is a chance to say there, 209 00:11:43,400 --> 00:11:46,600 Speaker 1: say he's not old and feeble. He's feisty. He's firing 210 00:11:46,720 --> 00:11:51,360 Speaker 1: back at these Republicans. He's challenging them right there, lively. Yeah, 211 00:11:51,360 --> 00:11:53,160 Speaker 1: that's what I'm going to vote on. By the way, 212 00:11:53,200 --> 00:11:57,640 Speaker 1: three ten million people didn't watch it, so that how 213 00:11:57,640 --> 00:12:00,840 Speaker 1: many watched it? Twenty three million, and it was on 214 00:12:00,880 --> 00:12:05,800 Speaker 1: all the channels again, right yeah, yeah, and three quarters 215 00:12:05,800 --> 00:12:09,680 Speaker 1: of them were over fifty five three quarters of the 216 00:12:09,679 --> 00:12:13,079 Speaker 1: audience members. So that's what I was telling somebody yesterday. 217 00:12:13,200 --> 00:12:17,959 Speaker 1: It's it's a tradition for older people. Yes, yes, we 218 00:12:18,120 --> 00:12:20,200 Speaker 1: remember a day when the world would stop when the 219 00:12:20,200 --> 00:12:23,080 Speaker 1: president would speak, and there was only three channels on 220 00:12:23,120 --> 00:12:26,880 Speaker 1: the TV, and so you couldn't watch anything else. But 221 00:12:27,000 --> 00:12:30,080 Speaker 1: now now people a lot of them realize they're just 222 00:12:30,160 --> 00:12:33,080 Speaker 1: jerk politicians, right, and this is all about winning and 223 00:12:33,280 --> 00:12:36,120 Speaker 1: not about anything. So yeah, serious, the big old gas 224 00:12:36,160 --> 00:12:38,160 Speaker 1: bag is going to prattle on with a bunch of 225 00:12:38,200 --> 00:12:42,000 Speaker 1: lies and nonsense. I want to watch lebron So. In 226 00:12:42,160 --> 00:12:44,880 Speaker 1: this clip, there is some yelling out and of course 227 00:12:44,920 --> 00:12:48,200 Speaker 1: both parties have their own crazies. This is this Congresswoman 228 00:12:48,240 --> 00:12:53,560 Speaker 1: Marjorie Taylor Green from Georgia who decided to scream out 229 00:12:54,160 --> 00:12:59,200 Speaker 1: when Biden was talking about oh, good old so security. 230 00:13:00,720 --> 00:13:03,240 Speaker 1: Let's listen, instead of making a wealthy pay their fair 231 00:13:03,280 --> 00:13:07,400 Speaker 1: share of some Republicans, Some Republicans want Medicare and so 232 00:13:07,559 --> 00:13:14,040 Speaker 1: security sunset. I'm not saying it's a majority of letting 233 00:13:14,080 --> 00:13:18,880 Speaker 1: me give you anybody to doubts in, contact my office. 234 00:13:19,440 --> 00:13:22,160 Speaker 1: I'll give you a copy. I'll give you a copy 235 00:13:22,160 --> 00:13:28,960 Speaker 1: of the proposal. That means Congress doesn't. I'm glad to 236 00:13:29,000 --> 00:13:33,560 Speaker 1: see you. No, I tell you I enjoyed conversion. You know. 237 00:13:33,640 --> 00:13:36,920 Speaker 1: It means if if Congress doesn't keep the programs away, 238 00:13:36,920 --> 00:13:39,200 Speaker 1: they are they go away. Other Republicans say, I'm not 239 00:13:39,240 --> 00:13:41,079 Speaker 1: saying it's a majority of you. I don't even think 240 00:13:41,080 --> 00:13:44,840 Speaker 1: it's even a significant What do you say it's being 241 00:13:44,880 --> 00:13:49,360 Speaker 1: proposed by individuals I'm listening politely, not naming them, but 242 00:13:49,400 --> 00:13:57,800 Speaker 1: it's being propected by some of you. Look, folks, the 243 00:13:57,920 --> 00:14:01,640 Speaker 1: idea is that we're not going to be We're not 244 00:14:01,679 --> 00:14:04,880 Speaker 1: going to be moved into being threatened to default on 245 00:14:04,920 --> 00:14:09,199 Speaker 1: the dead if we don't respond, there we go so 246 00:14:09,960 --> 00:14:15,640 Speaker 1: a bunch of clowns. Realistic. But notice how we backed 247 00:14:15,640 --> 00:14:17,520 Speaker 1: away from trying to make it sound like all the 248 00:14:17,520 --> 00:14:20,160 Speaker 1: Republicans want to cut your medicarents also decay. Oh, I know, 249 00:14:20,200 --> 00:14:22,280 Speaker 1: I didn't really say that that's a few. There's a few. 250 00:14:22,400 --> 00:14:25,320 Speaker 1: Actually I was proposing it's the more. He tried to 251 00:14:25,320 --> 00:14:29,480 Speaker 1: figure out a way to politely back off. But it 252 00:14:29,520 --> 00:14:32,400 Speaker 1: reminds me of you know, Parliament in the UK. That's 253 00:14:32,440 --> 00:14:34,480 Speaker 1: what they do. They scream out of here, supposed to 254 00:14:34,520 --> 00:14:39,200 Speaker 1: be the most sophisticated government. I think it's called question time, 255 00:14:39,680 --> 00:14:42,240 Speaker 1: where it is any member of Parliament can question the 256 00:14:42,280 --> 00:14:45,160 Speaker 1: Prime Minister and it gets really raucous like that. Yeah, 257 00:14:45,200 --> 00:14:48,520 Speaker 1: it gets crazy nutty. That was now, if that was 258 00:14:48,560 --> 00:14:50,680 Speaker 1: going on for an hour, I would have watched some 259 00:14:50,760 --> 00:14:53,880 Speaker 1: of it. If everybody was spending there screaming at him. 260 00:14:54,040 --> 00:14:57,000 Speaker 1: That's why we pulled the clips that were the most entertaining, 261 00:14:57,040 --> 00:14:59,480 Speaker 1: including the next one, which of course is near to 262 00:14:59,560 --> 00:15:01,920 Speaker 1: deer to what we talk about a lot, the US 263 00:15:02,040 --> 00:15:05,080 Speaker 1: Mexico border problem and too many migrants in the country. 264 00:15:05,480 --> 00:15:09,560 Speaker 1: Here we go, if we don't pass my compress immigration reform, 265 00:15:09,880 --> 00:15:12,160 Speaker 1: at least pass my plan to provide the equipment and 266 00:15:12,200 --> 00:15:21,800 Speaker 1: officers to secure the border and a pathway to citizenship 267 00:15:22,360 --> 00:15:27,280 Speaker 1: for a dreamers, those on temporary status, farm workers, essential workers. 268 00:15:28,480 --> 00:15:32,080 Speaker 1: Here in the people's House, it's our duty to protect 269 00:15:32,160 --> 00:15:35,840 Speaker 1: all the people's rights and freedoms. Congress must restore the 270 00:15:35,920 --> 00:15:45,200 Speaker 1: right and the secure the border. Silent. That was also 271 00:15:45,240 --> 00:15:46,960 Speaker 1: pretty weak because he said, well, if you don't pass 272 00:15:47,000 --> 00:15:51,240 Speaker 1: my amnesty plan yet, at least pass more border security. Right, 273 00:15:51,400 --> 00:15:55,760 Speaker 1: that's always a favorite they throw in there. Well, all 274 00:15:55,800 --> 00:15:58,720 Speaker 1: you have to do is enforce the laws Trump did. 275 00:15:59,480 --> 00:16:02,240 Speaker 1: Now know, just go back to that, go back to 276 00:16:02,280 --> 00:16:04,840 Speaker 1: the laws that are on the books. You don't have 277 00:16:04,840 --> 00:16:10,280 Speaker 1: to do anything else special. And now this clip, which 278 00:16:10,360 --> 00:16:13,920 Speaker 1: is really a big problem. It's the drugs. The migrants 279 00:16:13,920 --> 00:16:16,600 Speaker 1: are a problem, but the drugs are making their way 280 00:16:16,600 --> 00:16:20,840 Speaker 1: into the country, huge amounts of drugs like fentanyl, which 281 00:16:20,840 --> 00:16:22,880 Speaker 1: you're taking more and more deaths. This is what happened 282 00:16:22,880 --> 00:16:26,120 Speaker 1: when Biden brought up the fentyl death story. Fentanyl is 283 00:16:26,200 --> 00:16:35,080 Speaker 1: killing more than seventy thousand Americans a year. You've got it, 284 00:16:37,480 --> 00:16:43,480 Speaker 1: you're fault, Yeah, yea. Then they ran up there and 285 00:16:43,520 --> 00:16:47,720 Speaker 1: they carried them out. I guess the speaker McCarthy had 286 00:16:47,720 --> 00:16:52,440 Speaker 1: to shush them a few guests. Yes, be respectful, but 287 00:16:52,560 --> 00:16:55,120 Speaker 1: they're making a good point. The reason that there's a 288 00:16:55,120 --> 00:16:57,720 Speaker 1: lot of fentyl overdose death is because the border is 289 00:16:57,720 --> 00:17:00,000 Speaker 1: more wide open than it has been in so many years. 290 00:17:00,080 --> 00:17:02,160 Speaker 1: It's easy to get all these drugs into the country. 291 00:17:02,280 --> 00:17:05,280 Speaker 1: It is his fault, period, it's his fault. It's it's 292 00:17:05,320 --> 00:17:09,680 Speaker 1: his executive policies that he ordered. He reversed everything trunk dead, 293 00:17:09,800 --> 00:17:12,199 Speaker 1: and here's what you get. You get tens of thousands 294 00:17:12,240 --> 00:17:14,680 Speaker 1: of people dying. And he doesn't want to take responsibility 295 00:17:14,840 --> 00:17:17,960 Speaker 1: because he doesn't even know what room he's in, all right. 296 00:17:18,080 --> 00:17:20,040 Speaker 1: I don't know if he said anything further about what 297 00:17:20,119 --> 00:17:23,520 Speaker 1: to do rather than just mentioning overdose deaths from fentanyl. 298 00:17:23,640 --> 00:17:25,600 Speaker 1: Was there some sort of point that he was going 299 00:17:25,640 --> 00:17:28,359 Speaker 1: to make about policy or anything. What would it matter? 300 00:17:29,040 --> 00:17:31,080 Speaker 1: I know, but you know why to hear from now, 301 00:17:31,080 --> 00:17:33,600 Speaker 1: there's going to another seventy thousand people dead from fentanyl. 302 00:17:33,960 --> 00:17:37,120 Speaker 1: I know these speeches are just the checklist of things 303 00:17:37,160 --> 00:17:39,520 Speaker 1: that they have to go. Yeah, that somebody else wrote 304 00:17:39,520 --> 00:17:42,160 Speaker 1: for him. He doesn't care. Like the Wall Street Journal 305 00:17:42,200 --> 00:17:44,600 Speaker 1: said in an opinion piece today, they said, well, if 306 00:17:44,680 --> 00:17:47,280 Speaker 1: things are going so well as Biden said in his 307 00:17:47,320 --> 00:17:50,080 Speaker 1: speech last night, how come the polls show that Americans 308 00:17:50,080 --> 00:17:52,480 Speaker 1: are pretty dour. They're not like in the economy, They're 309 00:17:52,480 --> 00:17:54,280 Speaker 1: not like in your leadership, They're not like on anything. 310 00:17:54,280 --> 00:17:57,000 Speaker 1: There's only seven percent of the country who say they 311 00:17:57,000 --> 00:18:02,680 Speaker 1: would be enthusiastic if Biden won seven percent. Seven percent. Yeah, so, oh, 312 00:18:02,720 --> 00:18:05,119 Speaker 1: there's one more quote. We don't have audio of it, 313 00:18:05,440 --> 00:18:09,040 Speaker 1: but oh, but listen to this. He forgot the name 314 00:18:09,080 --> 00:18:13,960 Speaker 1: of the Ukrainian ambassador to the US. Was he sitting there? She? Yeah, 315 00:18:14,000 --> 00:18:15,960 Speaker 1: she was. She was sitting there, and he introduced her 316 00:18:16,000 --> 00:18:18,800 Speaker 1: from from the podium. Tonight, we are once again joined 317 00:18:18,800 --> 00:18:22,560 Speaker 1: by Ukraine's ambassador to the United States. She represents not 318 00:18:22,600 --> 00:18:25,840 Speaker 1: just her nation, but the courage of her people. Ambassador, 319 00:18:26,760 --> 00:18:30,000 Speaker 1: our ambassador is here. We are united in support of 320 00:18:30,000 --> 00:18:32,320 Speaker 1: your country. Will you stand so we can all take 321 00:18:32,359 --> 00:18:34,400 Speaker 1: a look at you. We're gonna stand with you as 322 00:18:34,400 --> 00:18:37,040 Speaker 1: long as it takes. Wait, that's not on the teleprompter. 323 00:18:37,480 --> 00:18:40,280 Speaker 1: Well that was off script, he said. It apparently was 324 00:18:40,359 --> 00:18:43,159 Speaker 1: not in the script. Yeah, the name was. He did 325 00:18:43,200 --> 00:18:45,040 Speaker 1: a few things not in the script, right, Yeah, her 326 00:18:45,119 --> 00:18:51,760 Speaker 1: name is Aksana mark Markarova. You haven't okay, still with 327 00:18:51,760 --> 00:18:54,720 Speaker 1: the Ukrainian people of the night, but once again joined 328 00:18:54,720 --> 00:18:58,119 Speaker 1: by Ukrainian's ambassador to Nited States. She represents not her 329 00:18:58,119 --> 00:19:01,119 Speaker 1: in just her nation, but the courage to repeople. Ambassador 330 00:19:02,520 --> 00:19:06,200 Speaker 1: is our ambassador is here united and we're in uniting 331 00:19:06,240 --> 00:19:08,840 Speaker 1: our support of your country. Would you stand so we 332 00:19:08,880 --> 00:19:11,080 Speaker 1: can all take a look at you. I can see 333 00:19:11,119 --> 00:19:16,280 Speaker 1: what you look like. Thank you. Oh yeah. There was 334 00:19:16,320 --> 00:19:18,119 Speaker 1: a pause there as he was supposed to put the 335 00:19:18,200 --> 00:19:24,280 Speaker 1: name in and he realized it. Ambassador with you. Yeah, okay, 336 00:19:24,320 --> 00:19:26,240 Speaker 1: whoever you are, you think you would be able to 337 00:19:26,280 --> 00:19:31,600 Speaker 1: pronounce it? No? Soa what was it? Johnson? No, it's yeah, 338 00:19:31,600 --> 00:19:35,440 Speaker 1: I sign up marcar Rova. No, it's I remember there's 339 00:19:35,440 --> 00:19:40,520 Speaker 1: a Russian skater rock sign up by Yule Marca Rova. 340 00:19:40,560 --> 00:19:42,560 Speaker 1: All right, we're coming up, Johnny ken Cafe. I am 341 00:19:42,640 --> 00:19:45,560 Speaker 1: six forty five. Everywhere The iHeart Radio app run from 342 00:19:45,560 --> 00:19:48,600 Speaker 1: one until four. Now one until four. After four, you 343 00:19:48,640 --> 00:19:51,639 Speaker 1: can listen on the podcast same join your own after four. Yeah, 344 00:19:51,720 --> 00:19:54,000 Speaker 1: so figure it out. Go to the iHeart Radio app 345 00:19:54,040 --> 00:19:56,440 Speaker 1: and find the John and Ken on demand podcast. How 346 00:19:56,480 --> 00:19:59,560 Speaker 1: hard is that? It's not hard or people complaining they 347 00:19:59,600 --> 00:20:03,400 Speaker 1: can't find the show. It's just they it's like it's 348 00:20:03,440 --> 00:20:05,800 Speaker 1: too much trouble to listen to the podcast. No, it's 349 00:20:05,840 --> 00:20:09,880 Speaker 1: not okay, too much Your father or father in law, 350 00:20:09,920 --> 00:20:13,720 Speaker 1: these always say that it's too much trouble. I see. 351 00:20:13,760 --> 00:20:17,600 Speaker 1: I think they both did as man, my dad. That's 352 00:20:17,600 --> 00:20:18,840 Speaker 1: what they say about a lot of things. It's just 353 00:20:18,880 --> 00:20:21,960 Speaker 1: too much trouble. Don't bother me. My dad did it 354 00:20:21,960 --> 00:20:24,360 Speaker 1: in a Polish accent. No, no, I know. That's why 355 00:20:24,359 --> 00:20:26,560 Speaker 1: I was thinking it was your father. But I'm waiting 356 00:20:26,600 --> 00:20:28,199 Speaker 1: for that day. I'm waiting for the day where I 357 00:20:28,240 --> 00:20:30,399 Speaker 1: wake up but I go, oh, it's too much trouble, 358 00:20:30,440 --> 00:20:32,639 Speaker 1: and I just rolled back to sleep. We're here to 359 00:20:32,680 --> 00:20:34,520 Speaker 1: tell you the voice line is waiting for you. The 360 00:20:34,560 --> 00:20:36,600 Speaker 1: iHeartRadio app is one way to do that. Use the 361 00:20:36,640 --> 00:20:39,119 Speaker 1: microphone icon or call the toll free number one eight 362 00:20:39,240 --> 00:20:42,040 Speaker 1: seven seven Moist eighty six one eight seven seven six 363 00:20:42,200 --> 00:20:44,960 Speaker 1: six four seven eight eight six, and we'll play those 364 00:20:44,960 --> 00:20:49,560 Speaker 1: calls during the three o'clock hour. Now on Friday, coming 365 00:20:49,640 --> 00:20:52,199 Speaker 1: up after two o'clock, John, we're gonna do an update 366 00:20:52,320 --> 00:20:56,320 Speaker 1: on may Or Bassetti and the homeless. Yes, why are 367 00:20:56,440 --> 00:21:00,080 Speaker 1: we up to? Okay, hang on or allegedly forty one 368 00:21:00,080 --> 00:21:01,919 Speaker 1: thousand homeless people in the city of la And I 369 00:21:01,920 --> 00:21:06,200 Speaker 1: think that's an undercount honestly. Oh yeah, yeah, definitely, she's 370 00:21:06,200 --> 00:21:08,760 Speaker 1: got two hundred and forty seven of them housed in 371 00:21:08,760 --> 00:21:11,359 Speaker 1: two forty seven. It's only the first couple of months. 372 00:21:11,480 --> 00:21:15,560 Speaker 1: But and again that number we have to doubt because 373 00:21:15,640 --> 00:21:18,560 Speaker 1: that doesn't mean they're permanently housed. They're taken care of 374 00:21:18,760 --> 00:21:20,560 Speaker 1: and they've got their lives back on the right track. 375 00:21:20,880 --> 00:21:22,639 Speaker 1: See that's a problem when I see those numbers, Oh 376 00:21:22,680 --> 00:21:25,080 Speaker 1: they've been housed. To put a little check mark next 377 00:21:25,080 --> 00:21:27,840 Speaker 1: to it. We don't know that. We don't follow up 378 00:21:27,840 --> 00:21:29,520 Speaker 1: and see where they are in like a month. No, 379 00:21:29,800 --> 00:21:34,360 Speaker 1: Because one time, who was it Rod gall Ron galprid Yes, 380 00:21:34,440 --> 00:21:37,800 Speaker 1: the city controller run He did a study of Garcetti's 381 00:21:37,880 --> 00:21:41,680 Speaker 1: claims of housing the vagrants, and it turned out was 382 00:21:41,760 --> 00:21:44,359 Speaker 1: wildly exaggerated because a lot of those people had already 383 00:21:44,400 --> 00:21:46,120 Speaker 1: spun it in out of the system, and they were 384 00:21:46,119 --> 00:21:48,280 Speaker 1: back out of the straits. And the word they use 385 00:21:48,359 --> 00:21:51,240 Speaker 1: is permanently, and that didn't turn out to be the case. 386 00:21:51,280 --> 00:21:53,280 Speaker 1: They just spun right out again. And she's putting them 387 00:21:53,280 --> 00:21:54,840 Speaker 1: in motel rooms. And if it doesn't work out in 388 00:21:54,840 --> 00:21:57,080 Speaker 1: the motel room because they don't like the rules or 389 00:21:57,359 --> 00:21:59,600 Speaker 1: they get kicked out, then you know, we got to 390 00:21:59,600 --> 00:22:01,919 Speaker 1: count that back is homeless again. But that's not how 391 00:22:01,960 --> 00:22:04,560 Speaker 1: they do it. They might they might house the same 392 00:22:04,600 --> 00:22:06,360 Speaker 1: guy to motel five times in a month and say 393 00:22:06,359 --> 00:22:08,760 Speaker 1: look at that five people. Well, taking her numbers at 394 00:22:08,760 --> 00:22:12,880 Speaker 1: face value, she's only getting four vagrants a day off 395 00:22:12,880 --> 00:22:21,080 Speaker 1: the streets, well four one every six hours. And CNN 396 00:22:21,240 --> 00:22:24,600 Speaker 1: didn't drive by on Karen Bessetti and the Homeless will 397 00:22:24,600 --> 00:22:27,640 Speaker 1: play you their report all coming up in the two 398 00:22:27,680 --> 00:22:31,920 Speaker 1: o'clock hour. Well, we started with this story on Monday, 399 00:22:32,040 --> 00:22:36,199 Speaker 1: and there's an update. This concerns another Los Angeles City politician, 400 00:22:36,640 --> 00:22:41,240 Speaker 1: the new city council member. You go, Soto Martinez. We've 401 00:22:41,240 --> 00:22:44,040 Speaker 1: already thrown in the dumpster. That maybe the quickest we 402 00:22:44,480 --> 00:22:46,240 Speaker 1: had a politician on a radar through him in the 403 00:22:46,320 --> 00:22:49,280 Speaker 1: dumpster Communist of the Year two months before they took 404 00:22:49,400 --> 00:22:52,720 Speaker 1: after they took office. Yes, he's a socialist democrat or 405 00:22:53,359 --> 00:22:56,959 Speaker 1: the AKA a communist, and he was in the news 406 00:22:57,160 --> 00:23:01,199 Speaker 1: because somebody at lap D took us screen shot of 407 00:23:01,280 --> 00:23:04,800 Speaker 1: information displayed on the city's computer. It's called their Computer 408 00:23:04,880 --> 00:23:09,240 Speaker 1: Assistant Dispatching System, which these little laptops inside the LAPD 409 00:23:09,359 --> 00:23:15,120 Speaker 1: squad cars. It shows details of a request for LAPD 410 00:23:15,800 --> 00:23:19,600 Speaker 1: to check on a broken down car in Echo Park. 411 00:23:20,240 --> 00:23:24,960 Speaker 1: Echo Park, of course, is Soda Martinez Council District, a 412 00:23:25,040 --> 00:23:29,600 Speaker 1: white Lexus. Well. Whoever took that screen shot eventually passed 413 00:23:29,600 --> 00:23:32,080 Speaker 1: it onto the media. Fox got a had a hold 414 00:23:32,080 --> 00:23:34,440 Speaker 1: of it. Fox eleven got a hold of it. They 415 00:23:34,480 --> 00:23:38,560 Speaker 1: did stories on it. Later on it was clarified that 416 00:23:38,560 --> 00:23:42,640 Speaker 1: that was not Soda Martinez. His car. He drives the Prius. 417 00:23:48,880 --> 00:23:53,480 Speaker 1: He doesn't have enough testosterone to drive alexis right now, 418 00:23:53,520 --> 00:23:56,399 Speaker 1: As The Times reports, Fox eleven ran a story saying 419 00:23:56,400 --> 00:24:00,119 Speaker 1: that the car's owner is David May, a staffer, So 420 00:24:00,200 --> 00:24:04,399 Speaker 1: tell Martinez his office. So this whiny little staffer was 421 00:24:04,600 --> 00:24:08,600 Speaker 1: all twitter because his car broke down and he was 422 00:24:08,640 --> 00:24:12,720 Speaker 1: afraid it would be vandalized or stolen. Yes, so he 423 00:24:12,880 --> 00:24:19,439 Speaker 1: calls LAPD asking for them to guard his car. Do 424 00:24:19,480 --> 00:24:21,560 Speaker 1: you not know who you work for? This guy's one 425 00:24:21,600 --> 00:24:23,600 Speaker 1: of the biggest do you fund the police people that 426 00:24:23,680 --> 00:24:27,080 Speaker 1: we probably have in LA politics, next to like Nitthia Ramin. 427 00:24:27,240 --> 00:24:30,760 Speaker 1: He's an abolish the police guy. I is he hates 428 00:24:30,840 --> 00:24:33,360 Speaker 1: the police. He does to be that ignorant of your 429 00:24:33,600 --> 00:24:38,639 Speaker 1: boss's politics that he would call LAPD to check on 430 00:24:38,760 --> 00:24:42,840 Speaker 1: your car that broke down. I just yeah, David may 431 00:24:43,240 --> 00:24:46,200 Speaker 1: m Ai, this is the little wiener. It's like, oh, 432 00:24:46,240 --> 00:24:48,960 Speaker 1: you know my car get I get stolen, I get vandalized. Okay, 433 00:24:49,000 --> 00:24:52,560 Speaker 1: could could you watch it for me tonight and bring 434 00:24:52,600 --> 00:24:54,920 Speaker 1: a gun too. I wish somebody would get a hold 435 00:24:54,920 --> 00:24:58,840 Speaker 1: of the call he made that's public. Yeah, it wou'd 436 00:24:58,880 --> 00:25:02,639 Speaker 1: be funny to hear him exactly how he explained. The 437 00:25:02,800 --> 00:25:07,440 Speaker 1: update is that the LAPD's now investigating the league. They 438 00:25:07,480 --> 00:25:09,600 Speaker 1: want to find out who took the screen shot and 439 00:25:09,640 --> 00:25:12,080 Speaker 1: who distributed it to the media. Like this is the 440 00:25:12,080 --> 00:25:18,000 Speaker 1: biggest defense. Oh, that's the confidential information that that that's 441 00:25:18,040 --> 00:25:21,280 Speaker 1: the problem that somebody in the police department leaked it, 442 00:25:21,560 --> 00:25:24,520 Speaker 1: not that you have this raging hypocrite who wants to 443 00:25:24,560 --> 00:25:28,000 Speaker 1: destroy the police department at calling for help from the 444 00:25:28,119 --> 00:25:31,239 Speaker 1: LAPD because this car broke down and he didn't want 445 00:25:31,280 --> 00:25:36,520 Speaker 1: to leave it outside overnight. Good good lord. Whoever did 446 00:25:36,560 --> 00:25:40,160 Speaker 1: this show they care more about political ideology than public safety. 447 00:25:40,600 --> 00:25:44,720 Speaker 1: That's coming from Soda Martinez his office. Oh really, are 448 00:25:44,720 --> 00:25:50,120 Speaker 1: they all outraged? They're all outraged because he looks embarrassed 449 00:25:50,160 --> 00:25:54,120 Speaker 1: because he's he's got a stafford that's asking for LAPD 450 00:25:54,280 --> 00:25:57,480 Speaker 1: help and we're supposed to be defunding and eliminating them 451 00:25:57,520 --> 00:26:02,080 Speaker 1: the phones. He's just playing this issue to whatever activist 452 00:26:02,160 --> 00:26:05,880 Speaker 1: groups that he's friends with and finances campaigns. That's that's 453 00:26:05,920 --> 00:26:08,240 Speaker 1: what he's doing. But when when you actually have trouble, 454 00:26:08,280 --> 00:26:10,199 Speaker 1: of course you're going to call the police. There is 455 00:26:10,280 --> 00:26:13,200 Speaker 1: virtually nobody who wouldn't call the police if you had 456 00:26:13,240 --> 00:26:15,920 Speaker 1: some crazy guy with a machette in your house. All right, 457 00:26:16,119 --> 00:26:19,400 Speaker 1: show me the guy who doesn't call the police. Even 458 00:26:19,680 --> 00:26:23,639 Speaker 1: Paul Pelosi called the police. That's right, because everybody wants 459 00:26:23,680 --> 00:26:28,960 Speaker 1: the police, everybody, including Hugo Soto Martinez, him and his 460 00:26:29,040 --> 00:26:34,200 Speaker 1: three names. And here, speaking of three names, Councilmember Marquis Harris, 461 00:26:34,520 --> 00:26:38,080 Speaker 1: Hyphen Dawson chimed in and he's using a word. Oh 462 00:26:38,119 --> 00:26:40,120 Speaker 1: that I see so much now. I think Newsom uses 463 00:26:40,160 --> 00:26:43,360 Speaker 1: it a lot. He said that whoever did this, whoever 464 00:26:43,560 --> 00:26:48,560 Speaker 1: leak this swiftly weaponized for special interest propaganda. Yeah, that's 465 00:26:48,600 --> 00:26:52,440 Speaker 1: the new cool words. A call for help was weaponized, weaponized. 466 00:26:52,720 --> 00:26:55,680 Speaker 1: Oh yeah, I think Newsom loves to say that. No, 467 00:26:55,840 --> 00:27:00,240 Speaker 1: I heard that. Batty Alexandria Cassio Cortez used that today 468 00:27:00,720 --> 00:27:03,320 Speaker 1: she was upset that the Twitter executives are getting roasted 469 00:27:03,400 --> 00:27:07,720 Speaker 1: for all their all their suppression and yes, and she goes, 470 00:27:07,880 --> 00:27:11,359 Speaker 1: I can't believe that this committee is being weaponized. It's like, 471 00:27:11,480 --> 00:27:14,520 Speaker 1: oh my god, did everybody get the same memo? Every 472 00:27:14,520 --> 00:27:18,200 Speaker 1: other story it's been weaponized. Yeah. I saw a story 473 00:27:18,240 --> 00:27:20,719 Speaker 1: on one of the former Twitter exects who got bounced 474 00:27:20,840 --> 00:27:25,000 Speaker 1: by Elon Muskin. Apparently she was asked, are you a doctor? 475 00:27:25,359 --> 00:27:28,320 Speaker 1: And why were you? Uh? Yeah, I watched the censoring 476 00:27:28,359 --> 00:27:33,520 Speaker 1: information from people with like degrees from Stanford, people with PhDs, yes, 477 00:27:33,720 --> 00:27:37,040 Speaker 1: and infectious diseases, and you were determining that their information 478 00:27:37,080 --> 00:27:41,240 Speaker 1: maybe falls Are you adopting? She kind of squirmed, and 479 00:27:41,840 --> 00:27:44,520 Speaker 1: I'm not. I watched that clip. It was really good. 480 00:27:44,680 --> 00:27:47,200 Speaker 1: Fact Eric, if you can find it. It's it's Nancy Mace. 481 00:27:47,280 --> 00:27:50,320 Speaker 1: She's a South Carolina Republican. Really sure, that's the woman 482 00:27:50,320 --> 00:27:53,919 Speaker 1: that had questioned and and so she asked these idiot 483 00:27:53,920 --> 00:27:58,680 Speaker 1: Twitter woman executive, are you a doctor? So why why 484 00:27:58,720 --> 00:28:01,959 Speaker 1: did you? Why did you send know best a Harvard 485 00:28:01,960 --> 00:28:04,959 Speaker 1: doctor and a Stanford doctor is like, what is this? 486 00:28:05,480 --> 00:28:08,960 Speaker 1: And that and that? JJ We've commented on him before. 487 00:28:08,960 --> 00:28:10,360 Speaker 1: He had a lot of stuff out the first year 488 00:28:10,440 --> 00:28:14,359 Speaker 1: or two that was apparently against the wind of the 489 00:28:14,359 --> 00:28:17,359 Speaker 1: direction of the way people were panicking over COVID. H 490 00:28:17,600 --> 00:28:19,680 Speaker 1: what a time we're living in, so that we should 491 00:28:19,680 --> 00:28:22,880 Speaker 1: dig that up to god, his government suppression of speech 492 00:28:22,960 --> 00:28:28,159 Speaker 1: and facts and medical advice. It's it's astonishing what's been 493 00:28:28,200 --> 00:28:31,800 Speaker 1: going on. So and obviously the police union jumped on 494 00:28:31,840 --> 00:28:34,440 Speaker 1: this story because they don't want to be defunded and abolished, 495 00:28:34,480 --> 00:28:37,159 Speaker 1: and they don't like the Hugo Soto Martinez, and so 496 00:28:37,840 --> 00:28:39,920 Speaker 1: they jumped on the story to point out the hypocrisy 497 00:28:39,960 --> 00:28:42,560 Speaker 1: here that if not him, one of his staffers was 498 00:28:42,560 --> 00:28:45,520 Speaker 1: looking for police help. How does that jive with abolishing 499 00:28:45,520 --> 00:28:48,000 Speaker 1: the police. I'm guessing LAPD's not going to look that 500 00:28:48,200 --> 00:28:50,880 Speaker 1: hard into finding who. Yeah, I was gonna say it's 501 00:28:50,880 --> 00:28:53,720 Speaker 1: an internal investigation. It was just to shut up old 502 00:28:53,800 --> 00:28:58,040 Speaker 1: Hugo there because he had this uh, this communist foaming 503 00:28:58,080 --> 00:29:00,920 Speaker 1: at the mouth, and it was time to calm them down. 504 00:29:01,440 --> 00:29:03,440 Speaker 1: All Right, we got more covered up, Johnny ken Camp 505 00:29:03,560 --> 00:29:06,600 Speaker 1: I AM six forty. We're live everywhere the iHeartRadio app. 506 00:29:06,720 --> 00:29:10,880 Speaker 1: Catch the Big Game this Sunday, featuring Philadelphia and Kansas City, 507 00:29:10,880 --> 00:29:13,720 Speaker 1: with coverage beginning at eleven, kickoff at three thirty on 508 00:29:13,800 --> 00:29:17,640 Speaker 1: your home of the Big Game AM five seventy. LA 509 00:29:17,760 --> 00:29:19,680 Speaker 1: Sports brought to you by the four D F one 510 00:29:19,800 --> 00:29:23,400 Speaker 1: fifty was combined toughness and intelligence test drive at one 511 00:29:23,400 --> 00:29:30,840 Speaker 1: of your local Southern California for dealerships today. A Big Game, Well, yeah, 512 00:29:30,840 --> 00:29:33,880 Speaker 1: that's what you call it. You don't want to appropriate 513 00:29:33,920 --> 00:29:36,000 Speaker 1: the name, right, the official name. You may have to 514 00:29:36,040 --> 00:29:38,480 Speaker 1: pay you for that. So it's just the Big Game. 515 00:29:38,640 --> 00:29:42,880 Speaker 1: Y copyright violation. But eventually some sport will copyright that, right, 516 00:29:42,960 --> 00:29:45,200 Speaker 1: they'll call whatever their championship is the Big Game, and 517 00:29:45,200 --> 00:29:48,560 Speaker 1: we'll have to find something else. He found your audio, John, Oh, 518 00:29:48,680 --> 00:29:52,320 Speaker 1: the audio Okay, the former Twitter woman. This is Nancy Mace. 519 00:29:53,200 --> 00:29:56,760 Speaker 1: It's the Congress one congresswan from South Carolina Republican, and 520 00:29:56,880 --> 00:30:01,680 Speaker 1: she zeroed in on one of these weasel Twitter executives, 521 00:30:01,680 --> 00:30:05,400 Speaker 1: another woman. What's your name? Vajatta? I forgot. I don't 522 00:30:05,440 --> 00:30:08,760 Speaker 1: have it either much. Well. J Gaddy, Jia Gaddy? All right, 523 00:30:09,600 --> 00:30:14,520 Speaker 1: Jay Gaddy, Jaia Gaddy. Okay, pretty close to a bad word. Yeah, 524 00:30:14,560 --> 00:30:17,560 Speaker 1: so let listen to this because Jaiah Gaddy was the 525 00:30:17,560 --> 00:30:22,440 Speaker 1: one who was squashing contrarian information from Harvard and Stanford 526 00:30:22,480 --> 00:30:26,920 Speaker 1: doctors who ended up being right on cod ask of you, 527 00:30:27,600 --> 00:30:31,320 Speaker 1: where did you go to medical school? I did not 528 00:30:31,360 --> 00:30:33,560 Speaker 1: go to medical school. I'm sorry, I did not go 529 00:30:33,600 --> 00:30:35,480 Speaker 1: to medical school. That's what I thought. Why do you 530 00:30:35,520 --> 00:30:37,479 Speaker 1: think you or anyone else on Twitter had the medical 531 00:30:37,520 --> 00:30:45,800 Speaker 1: expertise to censor a doctor's expert opinion. Our policies regarding 532 00:30:45,880 --> 00:30:50,480 Speaker 1: COVID were designed to protect individuals. We were seeing you, 533 00:30:50,520 --> 00:30:54,720 Speaker 1: guys censored Harvard educated doctor, Stanford educated doctors, doctors that 534 00:30:54,760 --> 00:30:58,320 Speaker 1: are educated in the best places in the world, and 535 00:30:58,360 --> 00:31:04,520 Speaker 1: you silenced those voice. My next question is the US government? 536 00:31:05,000 --> 00:31:06,600 Speaker 1: Excuse me? I have another chart I want to show you, 537 00:31:06,600 --> 00:31:09,240 Speaker 1: miss Gatty. I have another tweet by someone with a 538 00:31:09,320 --> 00:31:13,840 Speaker 1: following of a full eighteen thousand followers. This person put 539 00:31:14,000 --> 00:31:17,480 Speaker 1: a chart from the CDC on Twitter. It's the CDC's 540 00:31:17,560 --> 00:31:21,320 Speaker 1: own data, so it's accurate by your standards, and you 541 00:31:21,440 --> 00:31:24,800 Speaker 1: all labeled this as misleading. You're not a doctor, right, 542 00:31:24,840 --> 00:31:28,960 Speaker 1: miss Gatty, No, I'm not. Okay, what makes you think 543 00:31:29,000 --> 00:31:31,600 Speaker 1: you or anyone else of Twitter have the medical expertise 544 00:31:31,640 --> 00:31:37,840 Speaker 1: to censor actual, accurate CDC data. I'm not familiar with 545 00:31:37,920 --> 00:31:43,080 Speaker 1: these particular situation. I'm sure you're not. That's great, Yeah, 546 00:31:43,120 --> 00:31:45,959 Speaker 1: that is just beautiful. So this is what the Republicans 547 00:31:45,960 --> 00:31:47,560 Speaker 1: now running the House are going to have these kinds 548 00:31:47,560 --> 00:31:50,920 Speaker 1: of hearings Twitter people up there and talk about your censorship. Yeah, 549 00:31:50,960 --> 00:31:56,480 Speaker 1: all year, especially at the release of all those inside documents, right, 550 00:31:56,600 --> 00:31:58,640 Speaker 1: dealing with this kind of stuff that they do there 551 00:31:58,640 --> 00:32:01,840 Speaker 1: a Twitter to censor. But to see the look on 552 00:32:01,880 --> 00:32:07,080 Speaker 1: that that silly executives Phace No, I am not. Yeah, 553 00:32:07,120 --> 00:32:09,600 Speaker 1: and must bounced her right he bout oh yeah, And 554 00:32:09,640 --> 00:32:13,440 Speaker 1: she was making millions of dollars, millions of dollars telling 555 00:32:13,560 --> 00:32:16,280 Speaker 1: the Stanford doctor and the Harvard doctor you don't know 556 00:32:16,280 --> 00:32:20,120 Speaker 1: what you're talking about on COVID, we're blocking you. Did 557 00:32:20,120 --> 00:32:22,160 Speaker 1: you say yesterday? He did lay off like ninety percent 558 00:32:22,200 --> 00:32:26,600 Speaker 1: of the Twitter left eight they left, or well a 559 00:32:26,600 --> 00:32:30,280 Speaker 1: lot of that they were asked to leave, and some 560 00:32:30,360 --> 00:32:34,920 Speaker 1: of them quit. But he's running off. I still can't 561 00:32:34,960 --> 00:32:37,200 Speaker 1: get over that. Imagine a company losing eighty percent of 562 00:32:37,200 --> 00:32:41,160 Speaker 1: its employees and still functioning as far as I know, Yeah, 563 00:32:41,200 --> 00:32:43,400 Speaker 1: I don't. I'm still on Twitter, and still I don't 564 00:32:43,400 --> 00:32:45,640 Speaker 1: hear much about sending out tweets that I haven't heard it. 565 00:32:45,640 --> 00:32:48,000 Speaker 1: It's collapsed. Well, you know what, because they had a 566 00:32:48,000 --> 00:32:50,440 Speaker 1: lot of people doing this kind of crap. Yeah, I know, 567 00:32:50,560 --> 00:32:53,600 Speaker 1: you know what. They probably had thousands of people going 568 00:32:53,680 --> 00:32:56,680 Speaker 1: through the whole world's tweets and deciding which ones are 569 00:32:56,680 --> 00:33:01,440 Speaker 1: politically inappropriate that they were doing back, that's right, thousands 570 00:33:01,440 --> 00:33:07,280 Speaker 1: of medical experts deciding what COVID advice ought to be. Yeah, exactly, 571 00:33:07,640 --> 00:33:10,040 Speaker 1: all right. Well, for the second time this week, we 572 00:33:10,120 --> 00:33:13,360 Speaker 1: turned to Bill Gates. Bill Gates is back in the news. 573 00:33:13,400 --> 00:33:15,120 Speaker 1: Oh and by the way, there's a breaking news story 574 00:33:15,120 --> 00:33:17,320 Speaker 1: on Bill Gates. Did you see it. He's got a 575 00:33:17,320 --> 00:33:23,320 Speaker 1: hot new girlfriend. Oh yeah, how old? Sixty? Paula heard 576 00:33:23,400 --> 00:33:26,480 Speaker 1: is the widow of the Oracle chief who was worth 577 00:33:26,520 --> 00:33:28,560 Speaker 1: five million at the time of his death. Did you 578 00:33:28,560 --> 00:33:32,600 Speaker 1: say sixty or sixteen. No, she's sixty yet. Okay, she 579 00:33:32,720 --> 00:33:37,600 Speaker 1: was married to the former CEO of Oracle President Mark Hurd, 580 00:33:37,600 --> 00:33:41,000 Speaker 1: who died in twenty nineteen. But apparently the two of 581 00:33:41,000 --> 00:33:42,800 Speaker 1: them are big tennis fans, and they've been shown up 582 00:33:42,800 --> 00:33:47,400 Speaker 1: together like dates in the stance. But in this piece 583 00:33:47,440 --> 00:33:51,680 Speaker 1: of audio, it is Gates once again being questioned, if 584 00:33:51,680 --> 00:33:54,720 Speaker 1: you're such a big believer in climate change, and you 585 00:33:54,760 --> 00:33:59,440 Speaker 1: are an advocate for serious changes in people's behaviors, why 586 00:33:59,480 --> 00:34:02,720 Speaker 1: do you fly around in a private jet? Listen to 587 00:34:02,760 --> 00:34:05,480 Speaker 1: this obnoxious answer. What do you say to the charge 588 00:34:05,880 --> 00:34:09,000 Speaker 1: that if you are a climate change campaigner but you 589 00:34:09,120 --> 00:34:11,560 Speaker 1: also travel around the world to a private jet, you're 590 00:34:11,600 --> 00:34:17,520 Speaker 1: a hypocrite. Well, I I by the gold standard of 591 00:34:18,040 --> 00:34:23,480 Speaker 1: funding Climb works to do direct air capture that far 592 00:34:23,560 --> 00:34:28,719 Speaker 1: exceeds my family's carbon footprint, and I spend billions of 593 00:34:28,800 --> 00:34:34,000 Speaker 1: dollars on climate innovation. So you know, should I stay 594 00:34:34,040 --> 00:34:37,800 Speaker 1: at home and not come to Kenyan learn about farming 595 00:34:37,840 --> 00:34:43,160 Speaker 1: and malaria? Anyway? I mean, I'm uncomfortable with the idea 596 00:34:43,280 --> 00:34:47,840 Speaker 1: that not only am I not part of the problem 597 00:34:47,920 --> 00:34:51,680 Speaker 1: by paying for the offsets, but also through the billions 598 00:34:51,760 --> 00:34:55,960 Speaker 1: that my Breakthrough Energy group and spending that I'm part 599 00:34:55,960 --> 00:34:59,440 Speaker 1: of the solution. Okay, I'm part of the solution. Yeah, 600 00:34:59,520 --> 00:35:01,520 Speaker 1: that's how we on this. I mean, we talked about 601 00:35:01,520 --> 00:35:03,920 Speaker 1: climb works and this is the big thing they're talking about, 602 00:35:03,920 --> 00:35:06,520 Speaker 1: that they can suck the carbon out of the air 603 00:35:06,560 --> 00:35:09,960 Speaker 1: and store it underground. That's the premise. Yeah, but he's 604 00:35:09,960 --> 00:35:12,600 Speaker 1: still but he's openly enough to be able to buy 605 00:35:12,640 --> 00:35:14,719 Speaker 1: his way for climb works to offset his carbon. He's 606 00:35:14,719 --> 00:35:17,600 Speaker 1: still spewing. You are right, he's still spewing, right, because 607 00:35:17,640 --> 00:35:21,080 Speaker 1: he could fly commercial or he could take a boat 608 00:35:21,120 --> 00:35:24,799 Speaker 1: to Africa probably well, in fact, a solar powered boat 609 00:35:24,840 --> 00:35:27,839 Speaker 1: to Africa and make his way to Kenya, just like 610 00:35:27,880 --> 00:35:30,400 Speaker 1: the old explorers used to do. Right, They didn't have 611 00:35:30,960 --> 00:35:35,440 Speaker 1: commercial jets or private jets. They had boats. According to 612 00:35:35,480 --> 00:35:39,719 Speaker 1: the World Wildlife Fund, air travel is currently the most 613 00:35:39,760 --> 00:35:43,400 Speaker 1: carbon intensive activity an individual can make. No, he blows 614 00:35:43,440 --> 00:35:45,880 Speaker 1: tons and tons of carbon dioxide into the air, and 615 00:35:45,920 --> 00:35:49,120 Speaker 1: it doesn't matter if he pays for the capture of it. 616 00:35:49,160 --> 00:35:51,480 Speaker 1: That's still extra carbon in the air. He should pay 617 00:35:51,520 --> 00:35:54,400 Speaker 1: for the capture and not at any new stuff. You are, 618 00:35:54,680 --> 00:35:57,600 Speaker 1: mister big stink it hypocrant, But this is at least 619 00:35:58,520 --> 00:36:01,120 Speaker 1: a step up from the ones that, like Schwartzenegger, they 620 00:36:01,239 --> 00:36:04,200 Speaker 1: used a forest to offset their carbon because the trees 621 00:36:04,239 --> 00:36:08,799 Speaker 1: sucking carbon, and therefore, because I sponsored a forest, I 622 00:36:08,840 --> 00:36:11,240 Speaker 1: can fly around the world. Did you at least carbon 623 00:36:11,320 --> 00:36:14,960 Speaker 1: capture might be real technology. Yes, it is real technology, 624 00:36:15,440 --> 00:36:19,640 Speaker 1: But that doesn't excuse him from flying a private jet. 625 00:36:20,040 --> 00:36:22,560 Speaker 1: That that's just him being an ego. Back, by the way, 626 00:36:22,520 --> 00:36:25,600 Speaker 1: do you see Schwartzenegger hit a woman on a bicycle? Yeah? 627 00:36:25,600 --> 00:36:28,160 Speaker 1: It was her fault though, wasn't it. Yeah, yeah, it 628 00:36:28,239 --> 00:36:30,239 Speaker 1: was her fault. She made a left turn in front 629 00:36:30,280 --> 00:36:32,720 Speaker 1: of him or something. Right, Yeah, you find it about 630 00:36:33,000 --> 00:36:37,080 Speaker 1: using a bicycleister, Oh, I didn't say it was a 631 00:36:37,160 --> 00:36:40,439 Speaker 1: music for the woman. Yeah, I know, But I don't 632 00:36:40,440 --> 00:36:44,520 Speaker 1: know why you're just you're parting it out because you 633 00:36:44,480 --> 00:36:46,520 Speaker 1: want to embarrass him because he got into a Yes, 634 00:36:47,000 --> 00:36:51,240 Speaker 1: that's right, exactly the state and he should be embarrassed, 635 00:36:51,239 --> 00:36:53,080 Speaker 1: even if it's driving around. Do we know what he 636 00:36:53,160 --> 00:36:56,560 Speaker 1: was driving these days? Is he still driving his? Uh? Now, 637 00:36:56,640 --> 00:36:59,520 Speaker 1: hummers can't be electrics. He's got some electric cars. He's 638 00:36:59,560 --> 00:37:02,160 Speaker 1: got some old guzzlers too. Because when I think of 639 00:37:02,320 --> 00:37:07,279 Speaker 1: rich climate hypocrite, Schwarzenegger comes to mind, I know, but 640 00:37:07,440 --> 00:37:10,000 Speaker 1: he stole my heart because he's got that little miniature 641 00:37:10,080 --> 00:37:12,040 Speaker 1: horse that's his pet that hangs around him. You ever 642 00:37:12,040 --> 00:37:16,360 Speaker 1: see those pictures? Oh, yes, I have. It's hysterical. It's 643 00:37:16,360 --> 00:37:18,640 Speaker 1: like a pint size horse that you can horses in 644 00:37:18,680 --> 00:37:20,719 Speaker 1: their kitchen to sign hanging out with everybody. Apparently that's 645 00:37:20,719 --> 00:37:23,759 Speaker 1: his closest companion. Now, all right, we're coming up. Oh, 646 00:37:23,800 --> 00:37:26,160 Speaker 1: we'll check in on Mayor Bassetti in The Homeless John 647 00:37:26,160 --> 00:37:28,640 Speaker 1: and Ken Kfia, I'm six forty Live Everywhere, the iHeart 648 00:37:28,719 --> 00:37:30,680 Speaker 1: RADIOAC and Debrah Mark Live in the twenty four Hour 649 00:37:30,760 --> 00:37:31,480 Speaker 1: Cafe Newsroom