1 00:00:00,080 --> 00:00:03,360 Speaker 1: In fifteen minutes. Another keyword that you can use to 2 00:00:03,480 --> 00:00:07,560 Speaker 1: possibly win some money, the inflation bonus cash keyword is 3 00:00:07,600 --> 00:00:11,600 Speaker 1: coming away around three twenty. Well, you know, we talked 4 00:00:11,640 --> 00:00:14,800 Speaker 1: about this a couple of weeks ago. The state student 5 00:00:14,920 --> 00:00:19,280 Speaker 1: test scores were being held back by these school superintendent 6 00:00:19,360 --> 00:00:23,639 Speaker 1: in California until after the election. Then he kind of 7 00:00:23,720 --> 00:00:26,279 Speaker 1: changed his mind and LA Unified got some of their 8 00:00:26,280 --> 00:00:29,920 Speaker 1: scores and they became public. But it's because they're horrible. 9 00:00:30,720 --> 00:00:33,400 Speaker 1: Back in twenty twenty, when the pandemic hit, one of 10 00:00:33,400 --> 00:00:37,440 Speaker 1: the first things people did was panic, especially over the children. 11 00:00:37,840 --> 00:00:39,519 Speaker 1: And as time went on and began to see that 12 00:00:39,520 --> 00:00:42,640 Speaker 1: the children weren't that much affected by COVID in some sense, 13 00:00:42,720 --> 00:00:47,640 Speaker 1: the panic actually grew and it became zoom school many states, 14 00:00:47,720 --> 00:00:50,640 Speaker 1: of course California the worst. California was the biggest school 15 00:00:50,680 --> 00:00:53,600 Speaker 1: lockdown state in the country, keeping kids out of the 16 00:00:53,680 --> 00:00:56,920 Speaker 1: larger schools here for the longest period of time, especially 17 00:00:57,080 --> 00:00:59,760 Speaker 1: LA Unified in that stupid teachers union, which just fought 18 00:01:00,000 --> 00:01:03,120 Speaker 1: I've removed to kids a return to the classroom in 19 00:01:03,320 --> 00:01:06,920 Speaker 1: any form, and nobody fought the teachers. You did, no 20 00:01:07,040 --> 00:01:09,960 Speaker 1: public official in California, some parents did. We had him 21 00:01:10,000 --> 00:01:12,560 Speaker 1: on the air, and they were called racist by the 22 00:01:12,560 --> 00:01:15,319 Speaker 1: head of the teachers. Right, she thought that that was 23 00:01:15,319 --> 00:01:18,560 Speaker 1: a white person's white privilege to want your kid to 24 00:01:18,600 --> 00:01:21,160 Speaker 1: go to school, And I forgot about that. Yes, who 25 00:01:21,200 --> 00:01:26,680 Speaker 1: suffered the worst scores been already students and yes, yeah, 26 00:01:26,720 --> 00:01:29,600 Speaker 1: so so much for equity. Yeah no, it's it's the 27 00:01:29,680 --> 00:01:32,920 Speaker 1: people running the system who are the racists. They're keeping 28 00:01:32,959 --> 00:01:36,440 Speaker 1: the ben already children down. It wasn't the white parents 29 00:01:38,000 --> 00:01:40,039 Speaker 1: who wanted the kids to go and learn, because they 30 00:01:40,160 --> 00:01:45,560 Speaker 1: easily could have learned easily. This was just abusiveness on 31 00:01:45,600 --> 00:01:48,000 Speaker 1: the parts on the part of the teachers. Well. The 32 00:01:48,080 --> 00:01:51,640 Speaker 1: Times likes to put out though the falling scores nationwide 33 00:01:51,680 --> 00:01:54,560 Speaker 1: span the political and demographic makeup of states, making it 34 00:01:54,600 --> 00:01:57,880 Speaker 1: difficult to draw simple conclusions about the length of pandemic 35 00:01:57,920 --> 00:02:02,080 Speaker 1: related campus closures played student performance. Oh so, I guess 36 00:02:02,120 --> 00:02:06,160 Speaker 1: everybody just became collectively stupid together the kids did huh 37 00:02:06,200 --> 00:02:09,519 Speaker 1: there was no effect? Yeah, I guess. See. They're trying 38 00:02:09,520 --> 00:02:11,600 Speaker 1: to claim that it didn't matter whether the school's closed 39 00:02:11,720 --> 00:02:14,560 Speaker 1: or not either, but either was a disruption. But I 40 00:02:14,560 --> 00:02:16,680 Speaker 1: think it was worse if you kept the kids on zoom, 41 00:02:17,480 --> 00:02:19,920 Speaker 1: because it had to be Yeah, of course, of course 42 00:02:19,960 --> 00:02:23,480 Speaker 1: it's the worst. I would never I swear, I never 43 00:02:23,520 --> 00:02:25,919 Speaker 1: would have allowed that. I told my wife this, I said, 44 00:02:25,960 --> 00:02:28,160 Speaker 1: if this had happened where our kids were still in 45 00:02:28,400 --> 00:02:31,480 Speaker 1: elementary years and they closed the schools and they're looking 46 00:02:31,520 --> 00:02:34,160 Speaker 1: at Zoom all day, there would have been another way around. 47 00:02:34,240 --> 00:02:36,239 Speaker 1: You just moved to another state for a year, or 48 00:02:36,360 --> 00:02:37,720 Speaker 1: I was going to say, where you are in the 49 00:02:37,720 --> 00:02:43,760 Speaker 1: West Side, lockdowns were key. Well, parents, we're having glasses 50 00:02:43,800 --> 00:02:48,880 Speaker 1: conducted in their basements with teachers. You could always say, again, 51 00:02:48,919 --> 00:02:52,680 Speaker 1: that's the wealthier exactly. The wealthy kid woman down the 52 00:02:52,680 --> 00:02:54,520 Speaker 1: street from me, she was doing little classes in her 53 00:02:54,520 --> 00:02:56,440 Speaker 1: garage with some of the neighborhood kids. Do you know 54 00:02:56,480 --> 00:03:02,720 Speaker 1: what demographic did not show any any losses Catholic schools. 55 00:03:03,480 --> 00:03:09,720 Speaker 1: Catholic schools largely stayed open, and they're a lot more stricter, 56 00:03:10,919 --> 00:03:13,519 Speaker 1: and they share a lot of private schools kept on plugging. Yeah, 57 00:03:13,960 --> 00:03:16,519 Speaker 1: private schools kept going on. Newsome's kids got back or 58 00:03:16,680 --> 00:03:18,600 Speaker 1: you know, to the extent they did Zoom school, they 59 00:03:19,360 --> 00:03:22,600 Speaker 1: did it much better. What I what I think a 60 00:03:22,639 --> 00:03:25,760 Speaker 1: lot of the public school teachers did is they just 61 00:03:26,360 --> 00:03:29,320 Speaker 1: laid on the laid on the sofa and popped some 62 00:03:29,400 --> 00:03:32,000 Speaker 1: kind of video into the system and had the kids 63 00:03:32,040 --> 00:03:38,240 Speaker 1: watching videos while while they lolled around their couch. Well, 64 00:03:38,600 --> 00:03:42,440 Speaker 1: across the country, about one in four eighth graders met 65 00:03:42,520 --> 00:03:47,080 Speaker 1: standards for proficiency on National Mathis assessments. That's down from 66 00:03:47,080 --> 00:03:49,760 Speaker 1: one in three in twenty nineteen, so dropp from like 67 00:03:49,840 --> 00:03:52,280 Speaker 1: thirty three percent to twenty five percent. You know, it's 68 00:03:52,280 --> 00:03:56,360 Speaker 1: shocking how low the numbers were without this, Like like 69 00:03:57,040 --> 00:04:00,960 Speaker 1: LA in California didn't have that much, didn't fall that far. 70 00:04:01,720 --> 00:04:05,480 Speaker 1: But they don't they've already they're naturally so low. There 71 00:04:05,560 --> 00:04:08,720 Speaker 1: isn't much more to fall because you're going to have 72 00:04:08,800 --> 00:04:11,600 Speaker 1: a certain percentage of kids, maybe twenty twenty five percent, 73 00:04:12,040 --> 00:04:15,160 Speaker 1: who are resilient and smart enough and motivated enough that 74 00:04:15,280 --> 00:04:23,080 Speaker 1: somehow they'll survive. But all these scores pre COVID were disastrous. 75 00:04:23,640 --> 00:04:28,000 Speaker 1: Public school in America for much for much of the 76 00:04:28,000 --> 00:04:35,680 Speaker 1: country is absolutely horrible, but fixing it is blocked by 77 00:04:35,680 --> 00:04:41,360 Speaker 1: the teachers union, who bribes all the legislatures from top 78 00:04:41,400 --> 00:04:45,440 Speaker 1: to bottom. The amount of bribery of politicians to keep 79 00:04:45,560 --> 00:04:50,800 Speaker 1: school systems in an incompetent state is just unbelievable. Yeah, 80 00:04:50,880 --> 00:04:53,480 Speaker 1: I mean the Times likes to point out in California, 81 00:04:53,640 --> 00:04:56,120 Speaker 1: where most of the schools were closed for a full year, 82 00:04:56,520 --> 00:04:59,360 Speaker 1: even more scores felled by six points. But Texas and 83 00:04:59,360 --> 00:05:01,240 Speaker 1: Florida we I was able to reopen starting in the 84 00:05:01,279 --> 00:05:04,400 Speaker 1: fall of twenty twenty, they fell by seven points. And 85 00:05:04,480 --> 00:05:07,960 Speaker 1: they picked out Oklahoma, where schools didn't reopen until the 86 00:05:07,960 --> 00:05:11,159 Speaker 1: fall of twenty twenty, falling by thirteen points. So you 87 00:05:11,240 --> 00:05:13,240 Speaker 1: may be on to something there. There's something more to 88 00:05:13,279 --> 00:05:17,080 Speaker 1: do with the quality of public schools just diminishing, and 89 00:05:17,120 --> 00:05:19,400 Speaker 1: then with the pandemic. Even if you were back in 90 00:05:19,440 --> 00:05:22,640 Speaker 1: the classroom, there was still just a whole disruption involved 91 00:05:22,640 --> 00:05:24,719 Speaker 1: in this that made it very difficult to reach the 92 00:05:24,800 --> 00:05:28,159 Speaker 1: kids or getting to concentrate. Well, the whole world was 93 00:05:28,200 --> 00:05:31,280 Speaker 1: distracted by that for too long, I know, because if 94 00:05:31,320 --> 00:05:32,960 Speaker 1: you're a young kid and you have this kind of 95 00:05:33,000 --> 00:05:35,360 Speaker 1: panic going on in the world, it was like wartime 96 00:05:35,400 --> 00:05:38,760 Speaker 1: for these kids. You know, that's it's caused a lot 97 00:05:38,760 --> 00:05:41,760 Speaker 1: of depression. Most of the kids, even if the schools 98 00:05:41,760 --> 00:05:44,880 Speaker 1: were open, they didn't have their normal life. There wasn't 99 00:05:44,920 --> 00:05:49,000 Speaker 1: after school activities or after school activities. There weren't you know, 100 00:05:49,279 --> 00:05:56,080 Speaker 1: anything from sports teams or school dances or extracurricular activities, 101 00:05:56,400 --> 00:05:59,119 Speaker 1: just a whole northern normal rhythm of life of seeing 102 00:05:59,120 --> 00:06:02,680 Speaker 1: your friends in all and it's created a tremendous amount 103 00:06:02,680 --> 00:06:07,159 Speaker 1: of depression. But I know what it usually leads. Like 104 00:06:07,279 --> 00:06:10,279 Speaker 1: it always leads, they're going to decide that the tests 105 00:06:10,279 --> 00:06:12,360 Speaker 1: are too hard and we need to rejigger the tests 106 00:06:12,440 --> 00:06:15,039 Speaker 1: or not give them at all. I mean, we're seeing 107 00:06:15,040 --> 00:06:17,880 Speaker 1: this in colleges. Don't really want to see your SAT 108 00:06:18,000 --> 00:06:20,599 Speaker 1: or ACT scores anymore a lot of colleges because we 109 00:06:20,680 --> 00:06:23,640 Speaker 1: just don't believe in standardized testing. What will happen here? 110 00:06:23,720 --> 00:06:27,160 Speaker 1: They'll just be blowback against standardized testing. Well, I was 111 00:06:27,200 --> 00:06:29,120 Speaker 1: in a fantas standardized testing when I was a kid, 112 00:06:29,120 --> 00:06:31,599 Speaker 1: But I understand it now that you need to see 113 00:06:31,600 --> 00:06:35,239 Speaker 1: if people read a basic level and a uniform basic 114 00:06:35,360 --> 00:06:37,640 Speaker 1: level of class school districts and across the country. If 115 00:06:37,640 --> 00:06:41,120 Speaker 1: you're running an elite university, you don't want a bunch 116 00:06:41,160 --> 00:06:45,400 Speaker 1: of mediocre minds. That's a complete waste of time for everybody. 117 00:06:45,839 --> 00:06:51,760 Speaker 1: If your university is bent on teaching the most sophisticated 118 00:06:52,560 --> 00:06:55,960 Speaker 1: classes out there right to turn people into top of 119 00:06:56,000 --> 00:07:00,720 Speaker 1: their field experts, then you have to have a standard 120 00:07:00,760 --> 00:07:04,040 Speaker 1: for people who get in and sorry, we're not all 121 00:07:04,080 --> 00:07:06,200 Speaker 1: born the same. Some of us are born brilliant and 122 00:07:06,200 --> 00:07:09,520 Speaker 1: some of us are born stupid. And if you're running 123 00:07:09,520 --> 00:07:13,880 Speaker 1: a school where you're trying to teach classes meant for 124 00:07:13,960 --> 00:07:16,760 Speaker 1: brilliant kids, meant for people who are going to run 125 00:07:16,800 --> 00:07:20,320 Speaker 1: the world or be at the top in law and medicine, 126 00:07:20,880 --> 00:07:25,400 Speaker 1: in technology, you have you have to you have to 127 00:07:25,400 --> 00:07:33,720 Speaker 1: have some way to screen you do, and they always will, Oh, 128 00:07:33,920 --> 00:07:36,480 Speaker 1: you have to have a way to assess. Yeah you do, Yeah, 129 00:07:36,480 --> 00:07:39,640 Speaker 1: you absolutely do. And that's just the truth. And it's 130 00:07:39,680 --> 00:07:42,080 Speaker 1: like what we were joking about before. It's like, you know, 131 00:07:42,080 --> 00:07:43,960 Speaker 1: everybody gets a trophy. It's like, you know what, not 132 00:07:43,960 --> 00:07:45,760 Speaker 1: everybody's going to get into an elite school, and they 133 00:07:45,800 --> 00:07:50,320 Speaker 1: shouldn't get into an elite school. You actually have the goods. 134 00:07:50,120 --> 00:07:52,880 Speaker 1: That's that's why sports is still so appealing, Like the 135 00:07:52,920 --> 00:07:56,360 Speaker 1: woke holes did not get to sports, because you still 136 00:07:56,440 --> 00:07:58,880 Speaker 1: have to perform on the field and the jobs still 137 00:07:58,920 --> 00:08:02,840 Speaker 1: go to the people are best at their positions, regardless 138 00:08:02,880 --> 00:08:08,040 Speaker 1: of race or ethnicity. And that is the last bastion 139 00:08:08,160 --> 00:08:11,960 Speaker 1: of merit in the entire country. Now sports thirty percent 140 00:08:12,000 --> 00:08:15,760 Speaker 1: of California eighth graders are achieving proficiency in reading twenty 141 00:08:15,840 --> 00:08:18,240 Speaker 1: three percent in math. They said the math score was 142 00:08:19,560 --> 00:08:24,280 Speaker 1: really where this hit a wall that I remember years ago. 143 00:08:24,280 --> 00:08:26,840 Speaker 1: It was well because California has a lot of English 144 00:08:26,880 --> 00:08:29,360 Speaker 1: learners who was troubled with the reading side of this, 145 00:08:29,720 --> 00:08:31,480 Speaker 1: and the math was kind of just so so. But 146 00:08:31,560 --> 00:08:34,600 Speaker 1: now it looks like math has become a real stumbling 147 00:08:34,640 --> 00:08:39,600 Speaker 1: point for these students around the country. And actually they 148 00:08:39,600 --> 00:08:42,960 Speaker 1: said that La or rather California in La fared a 149 00:08:42,960 --> 00:08:46,000 Speaker 1: little better in its drop than compared to the other states, 150 00:08:46,040 --> 00:08:48,080 Speaker 1: just a little better. And everybody you see, it's at 151 00:08:48,120 --> 00:08:50,480 Speaker 1: some of the elite universities. They have so many foreign 152 00:08:50,480 --> 00:08:55,680 Speaker 1: students coming in from places like China and India, countries 153 00:08:55,720 --> 00:09:00,240 Speaker 1: were at least among the wealthier people. Everybody is sticking 154 00:09:00,280 --> 00:09:04,000 Speaker 1: to the standards, and they're sending their kids to America. 155 00:09:04,120 --> 00:09:07,920 Speaker 1: They get American degrees from elite universities. And it's completely 156 00:09:08,000 --> 00:09:13,040 Speaker 1: upended the normal ethnic mix at the schools. And and 157 00:09:13,160 --> 00:09:15,840 Speaker 1: that's why, that's why there's a case going to the 158 00:09:15,880 --> 00:09:18,319 Speaker 1: Supreme Court now, it's going to be heard next week 159 00:09:19,040 --> 00:09:22,480 Speaker 1: and and and it's Harvard and a lawsuit by a 160 00:09:23,520 --> 00:09:26,600 Speaker 1: union of Asian students who said that they were unfairly 161 00:09:26,800 --> 00:09:29,880 Speaker 1: barred from Harvard because basically Harvard decided to have too 162 00:09:29,920 --> 00:09:34,080 Speaker 1: many Asians because they were doing too many of them 163 00:09:34,120 --> 00:09:38,400 Speaker 1: were doing really well on all right, so they thought, 164 00:09:38,880 --> 00:09:40,679 Speaker 1: and so they were trying to come up with with 165 00:09:40,800 --> 00:09:49,360 Speaker 1: other categories. Actually, actually we're analyzing personalities as a backwards way. Yeah, 166 00:09:49,520 --> 00:09:51,640 Speaker 1: personality is a sure way to see whether or not 167 00:09:51,679 --> 00:09:53,839 Speaker 1: someone's going to be a success at a technical job. 168 00:09:56,120 --> 00:09:58,120 Speaker 1: You need to know math and science if you're going 169 00:09:58,160 --> 00:10:00,439 Speaker 1: to be in the fields that we need most for 170 00:10:00,480 --> 00:10:03,480 Speaker 1: the future of the stage the country's development. You can't 171 00:10:03,480 --> 00:10:05,880 Speaker 1: just have a nice personality that's good for a sales job. 172 00:10:05,920 --> 00:10:09,160 Speaker 1: Maybe uh yeah, yeah, sales is good if you have 173 00:10:09,200 --> 00:10:12,199 Speaker 1: a nice, brite, bubbly personality. It's not defence people and 174 00:10:12,280 --> 00:10:14,800 Speaker 1: things and you can you can and you can work 175 00:10:14,800 --> 00:10:16,520 Speaker 1: and get along with others. But that's what I was 176 00:10:16,520 --> 00:10:18,720 Speaker 1: trying to say. I think where this eventually leads as 177 00:10:18,760 --> 00:10:23,120 Speaker 1: these tests are biased, they're irrelevant, they're outdated, and just 178 00:10:23,160 --> 00:10:24,880 Speaker 1: like I said, they're already moving away from the SAT 179 00:10:24,960 --> 00:10:27,480 Speaker 1: and the ACTS, they'll start moving away from these National 180 00:10:27,559 --> 00:10:30,640 Speaker 1: standardized assessment tests. Well, trust me, if they will oh, 181 00:10:30,800 --> 00:10:32,400 Speaker 1: I agree with you. I think I remember that term. 182 00:10:32,400 --> 00:10:35,040 Speaker 1: We really learned like twenty years ago. The portfolio of 183 00:10:35,080 --> 00:10:37,480 Speaker 1: work is more important. Yeah, but like what you know, 184 00:10:37,520 --> 00:10:40,040 Speaker 1: you open up a binder and what's in their drawings? Don't? Well? 185 00:10:40,160 --> 00:10:42,400 Speaker 1: All right, But but then if that's what you have 186 00:10:42,440 --> 00:10:44,600 Speaker 1: to do as a parent, is you have to fight 187 00:10:44,679 --> 00:10:49,320 Speaker 1: all that and get your kid to a higher, higher level. 188 00:10:50,200 --> 00:10:51,960 Speaker 1: That's right, and it's it's it's a lot of work 189 00:10:51,960 --> 00:10:54,480 Speaker 1: for a parent, but it's your choice. Or you can, 190 00:10:54,640 --> 00:10:58,120 Speaker 1: you know, burp out another drone that won't even fill 191 00:10:58,120 --> 00:11:01,160 Speaker 1: a cubical seat anymore. They'll just and their underwear working 192 00:11:01,200 --> 00:11:05,640 Speaker 1: from home. All right? When we come back, speaking of 193 00:11:05,679 --> 00:11:08,960 Speaker 1: the lockdowns in COVID, Well it's back again. A new 194 00:11:09,080 --> 00:11:14,559 Speaker 1: explosive study dismisses the natural origin of COVID. It looks 195 00:11:14,600 --> 00:11:18,720 Speaker 1: to these researchers like it was lab produced. But we'll 196 00:11:18,760 --> 00:11:22,640 Speaker 1: explain a slight difference that they think happened. The keyword 197 00:11:23,280 --> 00:11:26,160 Speaker 1: for the inflation bonus, cash money is next John and 198 00:11:26,240 --> 00:11:30,040 Speaker 1: Ken kfim six forty live everywhere on the iHeartRadio app 199 00:11:30,120 --> 00:11:32,280 Speaker 1: All right, well, from the world of COVID, we have 200 00:11:32,480 --> 00:11:35,440 Speaker 1: a brand new study out Researchers in the United States 201 00:11:35,440 --> 00:11:41,200 Speaker 1: and Germany have studied COVID's genome, the virus's instruction manual. 202 00:11:41,520 --> 00:11:44,640 Speaker 1: To put in raw terms, they compared it to dozens 203 00:11:44,640 --> 00:11:50,199 Speaker 1: of previously detected coronaviruses and guess what road they're going down. 204 00:11:50,679 --> 00:11:54,080 Speaker 1: Based on their research, they think is a very good 205 00:11:54,160 --> 00:11:58,360 Speaker 1: chance that the one that hit us from China in 206 00:11:58,480 --> 00:12:03,199 Speaker 1: the year twenty nineteen it all started was laboratory made. 207 00:12:03,480 --> 00:12:08,559 Speaker 1: We're back to that again because it's got a synthetic fingerprint, 208 00:12:08,600 --> 00:12:12,040 Speaker 1: as they put it, Yes, synthetic means produced. It is 209 00:12:12,040 --> 00:12:15,559 Speaker 1: not a natural origin because it was an enhanced virus, 210 00:12:16,280 --> 00:12:19,280 Speaker 1: because the chain a function that is exactly the kind 211 00:12:19,320 --> 00:12:21,680 Speaker 1: of research that's being done all over that we just 212 00:12:21,760 --> 00:12:23,360 Speaker 1: learned they were doing this. They were doing this in Boston. 213 00:12:23,400 --> 00:12:25,120 Speaker 1: That was a big story last week that they've already 214 00:12:25,120 --> 00:12:28,400 Speaker 1: put together a couple of virus parts and they actually 215 00:12:28,440 --> 00:12:30,560 Speaker 1: made a right now, a virus that could kill a 216 00:12:30,559 --> 00:12:33,920 Speaker 1: lot of mice. Right, So, if somebody slips and the 217 00:12:33,960 --> 00:12:38,320 Speaker 1: beaker breaks on the floor, how is it we're still here? 218 00:12:39,080 --> 00:12:42,280 Speaker 1: How is it that based on what we're just talking 219 00:12:42,280 --> 00:12:45,240 Speaker 1: about now, somebody hasn't just killed a big population piece 220 00:12:45,240 --> 00:12:48,480 Speaker 1: with some sort of lab. Well, they gave it a 221 00:12:48,480 --> 00:12:50,920 Speaker 1: good shot, didn't they. I remember they always will worry 222 00:12:50,960 --> 00:12:52,880 Speaker 1: after nine to eleven that someone will get on the 223 00:12:52,920 --> 00:12:55,400 Speaker 1: subway systems in the ORC and unleash something. Oh that 224 00:12:55,600 --> 00:12:59,080 Speaker 1: you know it'll happen because bioweapon or chemical weapon. This 225 00:12:59,120 --> 00:13:02,240 Speaker 1: happened by accident. What you need is the right psychotic 226 00:13:02,360 --> 00:13:08,120 Speaker 1: run running a nation to yeah, somebody like like booting. 227 00:13:08,160 --> 00:13:10,120 Speaker 1: We're all focused on nukes. Maybe he'll come in the 228 00:13:10,160 --> 00:13:12,160 Speaker 1: back door of the side door with something else, like 229 00:13:12,200 --> 00:13:15,040 Speaker 1: a bioweapon or chemical It's pretty clear that the human 230 00:13:15,120 --> 00:13:18,480 Speaker 1: race is going to exterminate itself. There's no question that's 231 00:13:18,480 --> 00:13:21,880 Speaker 1: going to happen. You know, when and how they do it, 232 00:13:22,600 --> 00:13:25,240 Speaker 1: we don't know yet, but it will happen because we're 233 00:13:25,240 --> 00:13:30,440 Speaker 1: that stupid and that impulsive, and we we waste all 234 00:13:30,440 --> 00:13:32,839 Speaker 1: our brain power on creating things that will kill us. 235 00:13:33,520 --> 00:13:37,719 Speaker 1: And whether it's weapons or you know, enhanced viruses, that 236 00:13:39,400 --> 00:13:42,079 Speaker 1: it's this is this is why that that whole that's why, 237 00:13:42,640 --> 00:13:46,040 Speaker 1: you know, that was propaganda we were getting. For some reason, 238 00:13:47,000 --> 00:13:53,640 Speaker 1: the media and all the elites decided that we should 239 00:13:53,679 --> 00:13:58,120 Speaker 1: never think that this came from another government, that this 240 00:13:58,320 --> 00:14:01,600 Speaker 1: was a weapon that was being developed partly with our money. 241 00:14:02,640 --> 00:14:06,800 Speaker 1: Weirdly enough, No, those grants, yeah, those grants that FACCI authorized. 242 00:14:07,440 --> 00:14:09,840 Speaker 1: It may take like ten years or twenty years before 243 00:14:09,880 --> 00:14:12,480 Speaker 1: the full story comes out, but eventually we're going to 244 00:14:12,559 --> 00:14:16,680 Speaker 1: find out that a lot of people of the lab 245 00:14:16,720 --> 00:14:19,640 Speaker 1: did get Yeah, I h money through part Yeah, I 246 00:14:19,680 --> 00:14:21,640 Speaker 1: went through like a third party. And well, we don't 247 00:14:21,640 --> 00:14:23,640 Speaker 1: know if they specifically used it for gain a function 248 00:14:23,680 --> 00:14:25,640 Speaker 1: research to come up with COVID. We don't know that, 249 00:14:25,720 --> 00:14:29,080 Speaker 1: but well it was for gain a function these other 250 00:14:29,120 --> 00:14:31,400 Speaker 1: things that they do there right, well, they're they're they're 251 00:14:31,480 --> 00:14:34,120 Speaker 1: enhancing a lot of viruses. This is not the only 252 00:14:34,200 --> 00:14:38,240 Speaker 1: virus this is this is the business that these researchers 253 00:14:38,240 --> 00:14:40,880 Speaker 1: are in. They do it all. There were only three 254 00:14:40,960 --> 00:14:43,040 Speaker 1: places in the country, if I remember, I remember seeing 255 00:14:43,080 --> 00:14:45,040 Speaker 1: a map on one of the newscast, there were three 256 00:14:45,120 --> 00:14:48,520 Speaker 1: places where this kind of a gain of function research 257 00:14:48,680 --> 00:14:51,080 Speaker 1: was done with this particular kind of COVID virus, and 258 00:14:51,160 --> 00:14:54,000 Speaker 1: one of them was Wuhan. So the odds that there 259 00:14:54,040 --> 00:14:56,480 Speaker 1: would be an outbreak in Wuhan and you had people 260 00:14:56,600 --> 00:15:01,120 Speaker 1: in the laboratory who were suffering at the time from 261 00:15:00,000 --> 00:15:05,800 Speaker 1: an undisclosed virus, and of course they tried to conveniently 262 00:15:05,840 --> 00:15:09,720 Speaker 1: blame it on the animal markets nearby because they did 263 00:15:09,760 --> 00:15:12,920 Speaker 1: sell bats, and this began as a bat virus that 264 00:15:12,960 --> 00:15:15,600 Speaker 1: they excavated out of a cave, so they had a 265 00:15:15,760 --> 00:15:18,920 Speaker 1: ready made cover story to throw the world off for 266 00:15:19,000 --> 00:15:22,200 Speaker 1: a few months. But truth eventually comes out. It just 267 00:15:22,280 --> 00:15:25,840 Speaker 1: takes a while. People start to talk, people do investigations 268 00:15:25,960 --> 00:15:29,840 Speaker 1: that they're tracking the synthetic fingerprint of the genome, and 269 00:15:30,440 --> 00:15:34,160 Speaker 1: you get the real deal here. This was this was 270 00:15:34,960 --> 00:15:37,080 Speaker 1: may have been an accident in terms of it escaping 271 00:15:37,120 --> 00:15:39,960 Speaker 1: the lab, but it wasn't an accident coming out of 272 00:15:39,960 --> 00:15:45,880 Speaker 1: an animal. Now, the original virus and its many variations 273 00:15:45,960 --> 00:15:49,560 Speaker 1: has been very busy. I enjoyed this headline today. A 274 00:15:49,800 --> 00:15:54,080 Speaker 1: stunning three hundred new COVID variants are circling the globe. 275 00:15:54,120 --> 00:15:57,520 Speaker 1: Which ones will break through in California? When were you 276 00:15:57,520 --> 00:16:01,520 Speaker 1: and I were laughing about the latest SB dot seven 277 00:16:01,560 --> 00:16:04,960 Speaker 1: dot BA dot Yeah, imagine how we have three hundred 278 00:16:05,000 --> 00:16:08,200 Speaker 1: of them. But yeah, before you get too far into 279 00:16:08,200 --> 00:16:10,920 Speaker 1: the story, it's going to tell you that they're very 280 00:16:10,920 --> 00:16:14,360 Speaker 1: similar to the original and probably if you've already been infectory, 281 00:16:14,360 --> 00:16:17,480 Speaker 1: you have the vaccine it's not gonna make a big deal, 282 00:16:17,720 --> 00:16:22,640 Speaker 1: right you already, But listen to the list of of 283 00:16:22,800 --> 00:16:27,760 Speaker 1: COVID names. You have BA dot two dot seventy five 284 00:16:27,840 --> 00:16:31,200 Speaker 1: dot two, BA dot two dot seventy five dot four, 285 00:16:31,880 --> 00:16:34,960 Speaker 1: BA dot two dot three dot twenty, BA dot four 286 00:16:35,040 --> 00:16:40,320 Speaker 1: dot six, BH dot one, BP dot one, b Q 287 00:16:41,120 --> 00:16:44,520 Speaker 1: dot Q. I've not seen Q b Q. I've seen 288 00:16:44,600 --> 00:16:46,880 Speaker 1: b A, b H, and BP, but i haven't seen 289 00:16:46,880 --> 00:16:48,440 Speaker 1: b Q. That was a new one to me. Then 290 00:16:48,480 --> 00:16:51,840 Speaker 1: you have b Q dot one dot one M and 291 00:16:51,920 --> 00:16:56,040 Speaker 1: then b Q dot one dot one four b Q 292 00:16:56,280 --> 00:16:59,560 Speaker 1: dot one dot two. You also have do they tell 293 00:16:59,560 --> 00:17:01,480 Speaker 1: you if you test posit for COVID if you can 294 00:17:01,520 --> 00:17:03,760 Speaker 1: get what you can give you the exact BA dot 295 00:17:04,720 --> 00:17:07,720 Speaker 1: b Q or they'd have to analyze the genes. Well, 296 00:17:07,760 --> 00:17:10,120 Speaker 1: that'd be cool. Just got a party small talk. Which 297 00:17:10,119 --> 00:17:11,679 Speaker 1: one did you? I had a b Q dot one 298 00:17:11,840 --> 00:17:15,159 Speaker 1: dot three. Oh okay, all right, Well I had BA 299 00:17:15,200 --> 00:17:18,120 Speaker 1: dot two dot seven five dot four. I have a collection. 300 00:17:18,200 --> 00:17:22,200 Speaker 1: I've had four covids. What's this one about? B J 301 00:17:22,480 --> 00:17:24,680 Speaker 1: dot one? Oh? Yeah, that one b J dot one. Wait, 302 00:17:26,320 --> 00:17:29,680 Speaker 1: what's that simpt b Q dot one dot one XBB 303 00:17:30,000 --> 00:17:35,679 Speaker 1: is another one XBB uh, yeah, that's the XBB dot. 304 00:17:35,680 --> 00:17:38,679 Speaker 1: That's a real cool name. One. The CB variant XPB 305 00:17:39,080 --> 00:17:41,399 Speaker 1: is a different heritage from our from the b Q 306 00:17:41,640 --> 00:17:47,399 Speaker 1: variants it was. It was created created by the mixing 307 00:17:47,400 --> 00:17:49,640 Speaker 1: of the BA dot two dot one O dot one 308 00:17:49,920 --> 00:17:53,200 Speaker 1: and the BA dot two dot seven five strains. Well, 309 00:17:53,200 --> 00:17:59,320 Speaker 1: who's doing this mixing here? Again? The mutations are only 310 00:17:59,400 --> 00:18:02,760 Speaker 1: because of our ability with the vaccines and stuff to 311 00:18:02,840 --> 00:18:06,600 Speaker 1: kind of fight it off. So well, virus continued. I 312 00:18:06,640 --> 00:18:11,280 Speaker 1: got my booster yet again Friday night. Yeah, yeah, well, 313 00:18:11,760 --> 00:18:14,320 Speaker 1: more variants. I don't know if it works with all 314 00:18:14,320 --> 00:18:18,359 Speaker 1: those b J this and that. I don't know. You 315 00:18:18,480 --> 00:18:22,359 Speaker 1: got to get three hundred shots now, shot it out 316 00:18:22,960 --> 00:18:24,840 Speaker 1: and you got the flu thing too. Yeah, I got 317 00:18:24,840 --> 00:18:26,919 Speaker 1: the flu a few weeks ago. I didn't get all right, 318 00:18:27,160 --> 00:18:30,919 Speaker 1: she's ready down for the winter here. I've given up. 319 00:18:31,840 --> 00:18:34,480 Speaker 1: I think I've given up. I'm on the fence about 320 00:18:34,480 --> 00:18:39,080 Speaker 1: the COVID booster. Just take me out now, I'm running 321 00:18:39,080 --> 00:18:43,159 Speaker 1: out of arms and patients with um all of this. 322 00:18:43,520 --> 00:18:45,359 Speaker 1: After a while, you look like a drug addict. You'll 323 00:18:45,400 --> 00:18:47,720 Speaker 1: have needle tracks down your arm. Well, if there really 324 00:18:47,720 --> 00:18:50,679 Speaker 1: are three hundred worldwide variants, you know, just getting the 325 00:18:50,680 --> 00:18:53,600 Speaker 1: omicron one. They're going to have to start refining the 326 00:18:53,680 --> 00:18:56,960 Speaker 1: vaccine even though they're they're similar genetic origins. But they 327 00:18:57,040 --> 00:18:58,760 Speaker 1: might just well, they can say we're gonna have to 328 00:18:58,760 --> 00:19:01,680 Speaker 1: have a COVID shot every year for Deborah Mark will anyway, Yeah, 329 00:19:01,680 --> 00:19:05,119 Speaker 1: I probably will, just like the flu shots. Fine. I 330 00:19:05,160 --> 00:19:07,199 Speaker 1: was on the plane, Deborah Mark. Three people with masks. 331 00:19:07,240 --> 00:19:09,560 Speaker 1: So there's your friends. Out of one hundred and fifty passengers. 332 00:19:10,359 --> 00:19:13,280 Speaker 1: Were you wearing a mask? No, no, I read that 333 00:19:13,359 --> 00:19:16,840 Speaker 1: up months ago. Three never across the aisle from me 334 00:19:16,920 --> 00:19:21,080 Speaker 1: with masks that smart. Curiously, not forget COVID. I'm telling 335 00:19:21,080 --> 00:19:23,720 Speaker 1: you a neighbor real quickly. A neighbor told me that 336 00:19:23,760 --> 00:19:26,320 Speaker 1: she caught some kind of creepy virus. It's not COVID 337 00:19:26,600 --> 00:19:29,240 Speaker 1: that affects the heart. And the doctor said, and she 338 00:19:29,520 --> 00:19:31,000 Speaker 1: said that there were some people on the plane. The 339 00:19:31,040 --> 00:19:34,240 Speaker 1: doctor said, you got this probably on the plane because 340 00:19:34,240 --> 00:19:37,720 Speaker 1: it's it's some contagious virus. There's no way I'm going 341 00:19:37,800 --> 00:19:41,320 Speaker 1: on a plane without a mask. Ever, there's a lot 342 00:19:41,400 --> 00:19:43,680 Speaker 1: of public service announcements for the day. There's a lot 343 00:19:43,680 --> 00:19:47,000 Speaker 1: of diseased people, yes, and people they're gross and then 344 00:19:47,040 --> 00:19:50,840 Speaker 1: they just cough and sneeze, and they don't cover their mouths, 345 00:19:50,440 --> 00:19:54,359 Speaker 1: and they have no hygiene at all. None. No, A 346 00:19:54,480 --> 00:19:57,720 Speaker 1: hygiene is something that's gotten lost as time has gone on. 347 00:19:58,320 --> 00:20:01,359 Speaker 1: There's just there's just people. They're all all smellier and 348 00:20:01,480 --> 00:20:04,879 Speaker 1: dirtier and greasier and sicker, and they're all on planes. 349 00:20:04,960 --> 00:20:07,919 Speaker 1: They're all on planes. Yeah, don't get that, all right, 350 00:20:07,920 --> 00:20:10,040 Speaker 1: We got more coming up, John and Ken kf I 351 00:20:10,080 --> 00:20:12,840 Speaker 1: am six forty Live everywhere on the iHeartRadio app Nember. 352 00:20:12,880 --> 00:20:16,439 Speaker 1: Headed to Bidenville after four o'clock. I'm studying a video. 353 00:20:16,600 --> 00:20:18,639 Speaker 1: He sat down for some sort of long interview with 354 00:20:18,680 --> 00:20:23,359 Speaker 1: an MSNBC reporter, and there's claims that Joe does is 355 00:20:23,400 --> 00:20:26,120 Speaker 1: off during the interview. He seems to space out and 356 00:20:26,880 --> 00:20:30,400 Speaker 1: will play the audio. He loses focus. Well, his eyes 357 00:20:30,440 --> 00:20:32,199 Speaker 1: get I was looking at it. They're kind of He 358 00:20:32,280 --> 00:20:34,919 Speaker 1: kept shutting his eyes and I couldn't tell whether or 359 00:20:34,920 --> 00:20:37,000 Speaker 1: not that's because he's falling asleep or has just got 360 00:20:37,000 --> 00:20:41,240 Speaker 1: a blinking problem, but it was odd. He also admits 361 00:20:41,280 --> 00:20:44,399 Speaker 1: that I'd be concerned too if the president was turning eighty, 362 00:20:45,119 --> 00:20:47,560 Speaker 1: which he is very soon. He's giving us a hint. 363 00:20:48,080 --> 00:20:51,480 Speaker 1: I think he is it's like I'm fading out here 364 00:20:52,160 --> 00:20:56,800 Speaker 1: and brand new audio concerning the forgiveness of student loans 365 00:20:57,160 --> 00:21:00,800 Speaker 1: where suddenly Joe believes that he got a past in Congress. 366 00:21:01,960 --> 00:21:07,080 Speaker 1: It did not happen. There was no bill in Congress 367 00:21:06,400 --> 00:21:10,840 Speaker 1: to which also complicates the lawsuit he's involved. I guess 368 00:21:10,840 --> 00:21:13,400 Speaker 1: it does, does it. Yeah, so we'll get into all that, 369 00:21:13,960 --> 00:21:18,040 Speaker 1: all right. Well, we mentioned last week the outrageous public 370 00:21:18,080 --> 00:21:22,359 Speaker 1: spending story of the week, San Francisco's three year plan 371 00:21:22,480 --> 00:21:26,879 Speaker 1: to build a single public toilet for one point seven 372 00:21:26,960 --> 00:21:30,880 Speaker 1: million dollars. And I keep wondering, it's just one big 373 00:21:30,920 --> 00:21:33,199 Speaker 1: bowl in there. I mean it seriously was like a 374 00:21:33,280 --> 00:21:37,840 Speaker 1: single It's it must be a golden bowl. I maybe 375 00:21:37,880 --> 00:21:41,439 Speaker 1: I passed this weekend one of those large ones that 376 00:21:41,480 --> 00:21:43,960 Speaker 1: they have down and the touristy areas. And I think 377 00:21:44,000 --> 00:21:47,000 Speaker 1: it's supposed to self wash after you come out. Some 378 00:21:47,040 --> 00:21:50,040 Speaker 1: sort of was the idea behind it. I'm not going 379 00:21:50,040 --> 00:21:52,640 Speaker 1: in there. Um, well, I supposed to get all clean 380 00:21:52,680 --> 00:21:54,439 Speaker 1: for you, so the next user we'll walk into a 381 00:21:54,480 --> 00:21:56,719 Speaker 1: fresh Yeah, but I don't know how that works as 382 00:21:56,760 --> 00:22:00,320 Speaker 1: the chemicals are. Well, I'm never gonna open up a 383 00:22:00,359 --> 00:22:04,119 Speaker 1: public restroom in San Francisco, not one out on the 384 00:22:04,119 --> 00:22:08,600 Speaker 1: street in any kind of outdoor public venue. Never so 385 00:22:08,680 --> 00:22:12,560 Speaker 1: apparently they even canceled. There was there was some sort 386 00:22:12,560 --> 00:22:16,959 Speaker 1: of plan that they were going to have an event. 387 00:22:17,680 --> 00:22:20,080 Speaker 1: It's going to be in no Valley or Noah Valley 388 00:22:20,080 --> 00:22:25,720 Speaker 1: an Noe Valley. But they canceled some sort of grand 389 00:22:25,720 --> 00:22:28,399 Speaker 1: opening public event. And now there was real questions as 390 00:22:28,400 --> 00:22:30,320 Speaker 1: to whether or not. But if this is three years 391 00:22:30,320 --> 00:22:32,040 Speaker 1: in the making they were planning a grand opening, they 392 00:22:32,119 --> 00:22:35,520 Speaker 1: probably already spent the money, haven't they. Well, I don't know. 393 00:22:35,920 --> 00:22:40,760 Speaker 1: I mean, this was state funded. Somehow a local assemblyman 394 00:22:41,119 --> 00:22:44,919 Speaker 1: got this in the state budget and it passed. I 395 00:22:44,960 --> 00:22:47,680 Speaker 1: guess it was a line item that nobody was paying 396 00:22:47,680 --> 00:22:52,200 Speaker 1: attention to, seven million dollars for a toilet. Yeah, probably 397 00:22:52,240 --> 00:22:56,160 Speaker 1: didn't say that directly, or maybe nobody reads budgets at all. 398 00:22:56,760 --> 00:22:59,919 Speaker 1: And this this assemblyman got it, got it snuck in 399 00:23:00,680 --> 00:23:02,800 Speaker 1: and he was going to have this event. It was 400 00:23:02,880 --> 00:23:05,200 Speaker 1: Matt Haney, that's his name, and he was going to 401 00:23:05,320 --> 00:23:10,240 Speaker 1: host this event celebrating the construction of the new toilet. 402 00:23:12,200 --> 00:23:15,280 Speaker 1: Oh but Newsom is threatening to withhold the funds, so 403 00:23:15,359 --> 00:23:17,959 Speaker 1: I guess it hasn't been purchased. They were just going 404 00:23:18,000 --> 00:23:21,640 Speaker 1: to celebrate the passing of the bill. Oh yeah, here's 405 00:23:21,640 --> 00:23:25,400 Speaker 1: more detail. It's one hundred and fifty square feet. That 406 00:23:25,440 --> 00:23:28,399 Speaker 1: would be the toilet size or the toilet room size 407 00:23:28,440 --> 00:23:30,000 Speaker 1: or whatever. I guess it might have a sink in there. 408 00:23:30,840 --> 00:23:35,240 Speaker 1: And yeah, a spokeshole for Gavin Newsom said that the 409 00:23:35,520 --> 00:23:41,879 Speaker 1: state funds might be withheld. A single small bathroom should 410 00:23:41,880 --> 00:23:45,520 Speaker 1: not cost one point seven million, says Erin mellon the 411 00:23:45,560 --> 00:23:49,760 Speaker 1: government's communications director. The state will hold funding until San 412 00:23:49,760 --> 00:23:53,320 Speaker 1: Francisco delivers a plan to use this public money more efficiently. 413 00:23:53,720 --> 00:23:56,560 Speaker 1: If they cannot, we will go back to the legislature 414 00:23:56,640 --> 00:24:02,359 Speaker 1: to revoke the appropriation. So that's the threat. Apparently this 415 00:24:02,440 --> 00:24:06,359 Speaker 1: is because if San Francisco's overly complicated, expensive process for 416 00:24:06,400 --> 00:24:11,880 Speaker 1: approving and building things, I guess, including bathrooms. Well, if 417 00:24:12,280 --> 00:24:16,080 Speaker 1: Haney hadn't done the stupid thing of organizing a celebration, 418 00:24:16,720 --> 00:24:19,200 Speaker 1: it probably would have been built and nobody would have known. 419 00:24:20,720 --> 00:24:24,080 Speaker 1: But for some reason, he was so excited to tell 420 00:24:24,080 --> 00:24:27,520 Speaker 1: his constituents in the district that he got funding to 421 00:24:27,520 --> 00:24:30,520 Speaker 1: build a toilet that he made a big public case 422 00:24:30,560 --> 00:24:32,640 Speaker 1: out of it, and the whole world said, what one 423 00:24:32,680 --> 00:24:36,920 Speaker 1: point seven million for a toilet. Oh you know what happened. Yeah, 424 00:24:37,000 --> 00:24:40,240 Speaker 1: Heather Night did the story in the chronicle. And after 425 00:24:40,280 --> 00:24:42,400 Speaker 1: she did this story and it went to viral because 426 00:24:42,440 --> 00:24:45,760 Speaker 1: everybody was talking about it and printing it, that's when 427 00:24:45,800 --> 00:24:51,520 Speaker 1: Haney canceled his grand opening celebration of the toilet. Yeah, 428 00:24:51,560 --> 00:24:54,480 Speaker 1: he canceled a scheduled news conference. What's wrong with him? 429 00:24:56,000 --> 00:24:58,600 Speaker 1: She calls herself a potty party pooper. If you were, 430 00:24:58,800 --> 00:25:02,440 Speaker 1: if you were an assemblyman, would you hold But he says, 431 00:25:02,640 --> 00:25:05,160 Speaker 1: I support not spending the money. The cost is ridiculous. 432 00:25:05,200 --> 00:25:08,399 Speaker 1: It'll take far too long, he said last Friday. He 433 00:25:08,520 --> 00:25:11,280 Speaker 1: was taking credit for it last week, and now he's 434 00:25:11,320 --> 00:25:14,240 Speaker 1: against it because everybody heard of how much it was 435 00:25:14,280 --> 00:25:16,399 Speaker 1: going to cost. Yeah, because everyone else is against it. 436 00:25:17,880 --> 00:25:20,000 Speaker 1: He got it in the bill. He's the one who 437 00:25:20,040 --> 00:25:22,440 Speaker 1: got that line item as part of the budget bill. 438 00:25:23,200 --> 00:25:25,800 Speaker 1: It was exactly for a one point seven million dollars 439 00:25:25,840 --> 00:25:27,760 Speaker 1: toilet in San Francisco. It was like it was like 440 00:25:27,800 --> 00:25:31,560 Speaker 1: a grant. You know how individual politicians get these earmarks. 441 00:25:32,320 --> 00:25:36,040 Speaker 1: This is how they bring home the bacon. And every 442 00:25:36,280 --> 00:25:40,520 Speaker 1: congressman or assemblyman, the state senator or whatever gets to 443 00:25:40,560 --> 00:25:45,280 Speaker 1: bring a certain number of favors back home. And that's 444 00:25:45,320 --> 00:25:48,560 Speaker 1: that when your party's in charge. In order to keep 445 00:25:48,640 --> 00:25:51,879 Speaker 1: the party in charge, every local district has to be 446 00:25:51,920 --> 00:25:55,080 Speaker 1: happy with their local guy. So he needs a set 447 00:25:55,119 --> 00:25:58,400 Speaker 1: of announcement saying, you know, I, you know, brought five 448 00:25:58,480 --> 00:26:02,280 Speaker 1: million dollars to build this new park for the children. Oh, 449 00:26:02,320 --> 00:26:04,960 Speaker 1: this is pretty good. Another person involved in this is 450 00:26:04,960 --> 00:26:08,200 Speaker 1: the park, the wreck and park general manager Phil Ginsburg. 451 00:26:08,960 --> 00:26:12,800 Speaker 1: He said that he heard Friday morning from Haine's people 452 00:26:12,840 --> 00:26:14,600 Speaker 1: about the cost. He says, that's the first time I 453 00:26:14,640 --> 00:26:17,760 Speaker 1: got any questions about it. Yeah. Well, it says the 454 00:26:17,800 --> 00:26:20,600 Speaker 1: project is long and expensive, but it's because of skyrocketing 455 00:26:20,640 --> 00:26:25,320 Speaker 1: construction costs. Really one point seven million dollars one hundred 456 00:26:25,320 --> 00:26:27,240 Speaker 1: and fifty square foot bathroom. Do you know what? I 457 00:26:27,320 --> 00:26:29,800 Speaker 1: found a story today. I think Race sent it to 458 00:26:29,800 --> 00:26:31,800 Speaker 1: you right before the start of the show. It's it's long, 459 00:26:32,000 --> 00:26:35,800 Speaker 1: We should do it tomorrow. It's from the New York Times. 460 00:26:35,840 --> 00:26:39,480 Speaker 1: It's by a left wing columnist named Ezra Klein. The 461 00:26:39,560 --> 00:26:42,680 Speaker 1: headline is the way Los Angeles is trying to solve 462 00:26:42,720 --> 00:26:48,520 Speaker 1: homelessness is absolutely insane, and it includes quotes from Bass 463 00:26:48,520 --> 00:26:54,080 Speaker 1: and Caruso. But what what Ezra Klein did. He actually 464 00:26:54,080 --> 00:26:57,280 Speaker 1: went through the process of trying to build housing for 465 00:26:57,320 --> 00:27:00,920 Speaker 1: the homeless in Los Angeles, and you would not believe 466 00:27:01,560 --> 00:27:04,720 Speaker 1: how complicated it is. How many layers of bureaucracy, how 467 00:27:04,720 --> 00:27:08,640 Speaker 1: many regulations, how many restrictions, how many extra costs. There 468 00:27:08,640 --> 00:27:11,400 Speaker 1: are some paragraphs in here that you would you would 469 00:27:11,480 --> 00:27:16,119 Speaker 1: think was written by a comedy writer, you know, a satirist. 470 00:27:16,600 --> 00:27:19,960 Speaker 1: This can't be true, but that's why these homes for 471 00:27:20,000 --> 00:27:26,040 Speaker 1: the homeless are costing seven hundred thousand dollars. And apparently 472 00:27:26,720 --> 00:27:30,480 Speaker 1: they've already got a small single toilet bathroom in McLaren 473 00:27:30,560 --> 00:27:32,800 Speaker 1: Park in San Francisco that cost one point six million, 474 00:27:33,000 --> 00:27:34,920 Speaker 1: and another one in a place called Animal Square costs 475 00:27:35,000 --> 00:27:39,000 Speaker 1: one point seven million. Nobody paid any attention to those 476 00:27:39,240 --> 00:27:41,320 Speaker 1: is the word didn't get out right? They don't. Oh, 477 00:27:41,359 --> 00:27:43,120 Speaker 1: you know what. The Parks and wrect guy is blaming 478 00:27:44,000 --> 00:27:46,359 Speaker 1: some of the city and the state's policies that they 479 00:27:46,400 --> 00:27:49,200 Speaker 1: can't do business or contract with companies in thirty states 480 00:27:49,200 --> 00:27:53,920 Speaker 1: because they discriminate against LGDPTQ people or restrict abortion or 481 00:27:53,960 --> 00:27:56,400 Speaker 1: suppress voting rights. He says, it makes him, it makes 482 00:27:56,480 --> 00:27:59,240 Speaker 1: him more expensive. When you've wiped out thirty states. You 483 00:27:59,240 --> 00:28:04,560 Speaker 1: can buy them a terry else problem. Oh, this guy's funny. 484 00:28:04,600 --> 00:28:09,240 Speaker 1: Oh what a stupid government. You know that, that whole 485 00:28:09,359 --> 00:28:14,080 Speaker 1: boycott on all the states because their gender laws don't 486 00:28:14,119 --> 00:28:16,560 Speaker 1: conform with them. And yet Newson went to one of 487 00:28:16,560 --> 00:28:19,480 Speaker 1: those states anyway, on his own private business, his own 488 00:28:19,600 --> 00:28:24,480 Speaker 1: family cares. Do you really think he cares? No? All right, 489 00:28:24,480 --> 00:28:26,200 Speaker 1: we got it. Did you see that map I sent 490 00:28:26,240 --> 00:28:28,840 Speaker 1: you today? Oh? I yeah, yeah, we can talk about 491 00:28:28,840 --> 00:28:31,240 Speaker 1: the map. Yeah. Yeah, that's dazzling and it's a display 492 00:28:31,280 --> 00:28:37,800 Speaker 1: of colors. Microsoft put out a forty one, forty one 493 00:28:37,840 --> 00:28:43,440 Speaker 1: piece map covering forty one different sexualities. Yeah, that's quite 494 00:28:43,440 --> 00:28:45,560 Speaker 1: a spectrum. All right, we'll talk about that and then 495 00:28:45,640 --> 00:28:51,960 Speaker 1: read some of them. Next. Did you see uh Biden wandering, Yeah, 496 00:28:52,000 --> 00:28:55,080 Speaker 1: wandering off a lot. He can't figure out which direction 497 00:28:55,120 --> 00:28:57,800 Speaker 1: to go into or he This is a new video 498 00:28:57,800 --> 00:29:00,320 Speaker 1: clip that's making the rounds. And he's walking with a 499 00:29:00,440 --> 00:29:03,440 Speaker 1: man and a woman and they're on the White House 500 00:29:03,480 --> 00:29:06,600 Speaker 1: grounds and he suddenly makes a right turn on his 501 00:29:06,680 --> 00:29:10,080 Speaker 1: own and then he has to be herded back towards 502 00:29:10,120 --> 00:29:13,280 Speaker 1: the direction of the White House, and you can see 503 00:29:13,280 --> 00:29:21,120 Speaker 1: the White House him he veered away from the building 504 00:29:21,880 --> 00:29:24,760 Speaker 1: and now I'm just watching it on reape. He's lost 505 00:29:24,800 --> 00:29:28,160 Speaker 1: in the trees and everybody is pointing, like, you go 506 00:29:28,240 --> 00:29:30,600 Speaker 1: that way, you go that way. Who are these two 507 00:29:30,640 --> 00:29:37,760 Speaker 1: old people with him? I don't know, poor guy. Is 508 00:29:37,800 --> 00:29:40,080 Speaker 1: that is that Joe Biden with him on the left. 509 00:29:40,720 --> 00:29:44,120 Speaker 1: It might be, well, he's she's got to keep she's 510 00:29:44,120 --> 00:29:48,080 Speaker 1: got to keep a home. Yeah you can't. Yeah, I 511 00:29:48,120 --> 00:29:51,320 Speaker 1: think that is in the green coat or whatever. I 512 00:29:51,320 --> 00:29:56,400 Speaker 1: don't know that. Great, Well, we'll be in Bidenville. Right 513 00:29:56,400 --> 00:29:58,640 Speaker 1: after the news at four o'clock. As a few clips 514 00:29:58,640 --> 00:30:01,200 Speaker 1: to play, he did some sort of a I guess 515 00:30:01,200 --> 00:30:03,880 Speaker 1: it was a long interview with MSNBC's Jonathan K. Parton 516 00:30:04,000 --> 00:30:06,520 Speaker 1: may have fallen asleep during part of it, but he 517 00:30:06,600 --> 00:30:09,000 Speaker 1: also says, it's it's a fair question to wonder if 518 00:30:09,000 --> 00:30:12,280 Speaker 1: I'm fit for the job at eighty's to turn eighty, Well, 519 00:30:12,280 --> 00:30:14,880 Speaker 1: he can't find his way home. There has never been 520 00:30:14,880 --> 00:30:18,520 Speaker 1: an older American president, so why not. Of course, we 521 00:30:18,560 --> 00:30:22,160 Speaker 1: do live longer. Take that in consideration, right, John, Someday 522 00:30:22,200 --> 00:30:25,160 Speaker 1: maybe a president will be ninety eight. Yeah, you live 523 00:30:25,200 --> 00:30:28,040 Speaker 1: a long time, but you don't necessarily are living a 524 00:30:29,560 --> 00:30:33,320 Speaker 1: You don't have robust health. Well you can, I mean 525 00:30:33,520 --> 00:30:35,680 Speaker 1: depends on how you take care of yourself in your genetics. 526 00:30:35,720 --> 00:30:39,480 Speaker 1: Have ever been to a nursing home? We don't call 527 00:30:39,520 --> 00:30:43,080 Speaker 1: them that anymore, but you want to call them, they're 528 00:30:43,160 --> 00:30:47,239 Speaker 1: usually called assisted living facilities? Okay? Have you ever been 529 00:30:47,240 --> 00:30:50,560 Speaker 1: to assisted living facility? Not in a while? No? No, 530 00:30:51,040 --> 00:30:53,320 Speaker 1: you couldn't get my parents to go into one, so 531 00:30:53,600 --> 00:30:57,720 Speaker 1: good at me. We couldn't. Well, I'm never going one. 532 00:30:59,200 --> 00:31:01,000 Speaker 1: If my kids come in and say we're taking you 533 00:31:01,040 --> 00:31:03,640 Speaker 1: to assisted living or nursing home, I'm pulling out my 534 00:31:03,680 --> 00:31:07,560 Speaker 1: gun and say you take one more step nobody, Nobody 535 00:31:07,680 --> 00:31:10,360 Speaker 1: is going to get So you don't have a gun, 536 00:31:09,960 --> 00:31:11,840 Speaker 1: I'm I'm going to get one. By then, I'm going 537 00:31:11,880 --> 00:31:13,840 Speaker 1: to get one just to keep people from taking me 538 00:31:13,880 --> 00:31:15,960 Speaker 1: to a nursing home. Second of all, there's some that 539 00:31:16,000 --> 00:31:18,960 Speaker 1: are really nice and well kept, and well, i'll visit 540 00:31:19,000 --> 00:31:22,000 Speaker 1: you there. Well. Third of all, what do you think 541 00:31:22,040 --> 00:31:24,280 Speaker 1: you're gonna do when you can't walk and dress yourself 542 00:31:24,320 --> 00:31:26,360 Speaker 1: and you're peeing all over the place and I'm going 543 00:31:26,400 --> 00:31:30,240 Speaker 1: to do that in my home? Well, I'm not hire 544 00:31:30,240 --> 00:31:31,600 Speaker 1: somebody to clean it up, or you're just I'm going 545 00:31:31,640 --> 00:31:34,120 Speaker 1: to hire somebody to clean it up. Yeah, there are 546 00:31:34,200 --> 00:31:38,080 Speaker 1: nice places that cost a lot of money. I'll you 547 00:31:38,280 --> 00:31:40,720 Speaker 1: in yours as well. I will be in one of those. 548 00:31:40,760 --> 00:31:43,240 Speaker 1: Hopefully he did not give the answer. I thought he'd 549 00:31:43,240 --> 00:31:46,440 Speaker 1: give what exit bag? Oh, No, exit bag is definitely 550 00:31:46,440 --> 00:31:49,400 Speaker 1: on the table. No, if those are the choices, exit bag. 551 00:31:50,560 --> 00:31:52,720 Speaker 1: I'm gonna tell everybody in the family up front. I go, 552 00:31:52,800 --> 00:31:54,880 Speaker 1: I'm not ending up there, I go, you commit me there, 553 00:31:54,920 --> 00:31:58,040 Speaker 1: I'm getting the exit bag. All right, Well, John sent 554 00:31:58,080 --> 00:32:01,160 Speaker 1: this today. Microsoft just released this and no joke, just 555 00:32:01,240 --> 00:32:02,920 Speaker 1: like Biden you put in? You put that in? Or 556 00:32:02,920 --> 00:32:06,280 Speaker 1: did they put that? No joke? I'd love to say, 557 00:32:06,280 --> 00:32:10,240 Speaker 1: no joke. That's that's my new favorite phrase. An emblem 558 00:32:10,280 --> 00:32:14,280 Speaker 1: of unity, and it's quite striking in its colorful display. 559 00:32:15,600 --> 00:32:17,680 Speaker 1: It's a flag. I guess it's a flag. Yeah, it 560 00:32:17,680 --> 00:32:22,400 Speaker 1: looks like a kaleidoscope pattern. It does yes and many 561 00:32:22,440 --> 00:32:25,440 Speaker 1: different colors, and there are some symbols on it. I 562 00:32:25,480 --> 00:32:30,240 Speaker 1: don't understand, but it says it combines forty different flags 563 00:32:30,320 --> 00:32:35,880 Speaker 1: from lgbt QIA plus communities around the world. It's it's 564 00:32:35,920 --> 00:32:40,280 Speaker 1: the forty different sexualities. Now, I thought we would play 565 00:32:40,280 --> 00:32:42,160 Speaker 1: a little game. We got a couple of minutes. Okay, 566 00:32:42,400 --> 00:32:47,200 Speaker 1: I'm gonna list all these forty different sexualities and genders 567 00:32:47,240 --> 00:32:51,840 Speaker 1: and procilivities. And if any of you feel you identified, 568 00:32:51,880 --> 00:32:54,640 Speaker 1: just yell bingo or something. All right, not a joke, 569 00:32:55,320 --> 00:33:01,840 Speaker 1: or any of you an abrosexual. No, nobody's an abrosexual. 570 00:33:02,080 --> 00:33:05,000 Speaker 1: What does that mean? Well, I'll tell you yeah, if 571 00:33:05,000 --> 00:33:10,440 Speaker 1: you don't. UM, it's an individual whose sexuality is changing 572 00:33:10,520 --> 00:33:13,840 Speaker 1: or fluid. For example, you could be gay one day, 573 00:33:14,400 --> 00:33:18,200 Speaker 1: you're asexual the next, and then polysexual the day after that. 574 00:33:18,840 --> 00:33:21,960 Speaker 1: That's an indecisive person, but they want it all. Uh. 575 00:33:22,000 --> 00:33:25,800 Speaker 1: An abrosexual's person they're sexual I may change more frequently 576 00:33:26,080 --> 00:33:29,000 Speaker 1: over the course of hours. So you're you're let's say, 577 00:33:29,080 --> 00:33:31,600 Speaker 1: one hour, you're into men, like at two o'clock. By 578 00:33:31,600 --> 00:33:34,600 Speaker 1: three o'clock you're not into anybody there is. By by 579 00:33:34,680 --> 00:33:37,320 Speaker 1: four o'clock you're right into everything. Okay, anything on two 580 00:33:37,400 --> 00:33:39,600 Speaker 1: or four legs here, you're ready to go. So that's 581 00:33:39,600 --> 00:33:42,320 Speaker 1: not a takeoff on a bro it's a b r 582 00:33:42,360 --> 00:33:47,360 Speaker 1: O a bro sexual bro sexual. Hey, bro, what is 583 00:33:47,440 --> 00:33:51,880 Speaker 1: ace flux? That's the next one. What ace flux? Um? Well, 584 00:33:51,920 --> 00:33:54,680 Speaker 1: if you take peptobismal, that takes care of. That's gonna say. 585 00:33:54,680 --> 00:33:56,720 Speaker 1: It sounds like an indelic right, here we go. This 586 00:33:56,800 --> 00:34:00,840 Speaker 1: is a sexual orientation of the asexual spec trump. It 587 00:34:00,960 --> 00:34:05,520 Speaker 1: is defined as someone whose sexual orientation fluctuates but generally 588 00:34:05,600 --> 00:34:10,359 Speaker 1: stays on the asexual spectrum. An ace flex individual may 589 00:34:10,520 --> 00:34:15,000 Speaker 1: feel very strongly asexual one day and less asexual another day, 590 00:34:15,360 --> 00:34:20,319 Speaker 1: or they might feel demisexual or gray sexual at times. Yeah, 591 00:34:20,320 --> 00:34:23,440 Speaker 1: I saw I saw a gray sexual. I gotta look 592 00:34:23,480 --> 00:34:26,680 Speaker 1: up gray sex. Oh, gray meaning it's blurry again about there. 593 00:34:27,520 --> 00:34:29,160 Speaker 1: I thought it's for old people. Yeah, maybe you're into 594 00:34:29,200 --> 00:34:34,640 Speaker 1: the elderly. M Oh, maybe that is it right now, 595 00:34:34,680 --> 00:34:40,440 Speaker 1: we see all right, gray sexuality experiences limited sexual attraction 596 00:34:40,440 --> 00:34:44,160 Speaker 1: to others. So you're you're basically a sexual. But every 597 00:34:44,160 --> 00:34:46,040 Speaker 1: once in a while, if the wind is blown just right, 598 00:34:46,440 --> 00:34:49,160 Speaker 1: you get a little twitch. Well, you know, the more 599 00:34:49,200 --> 00:34:51,720 Speaker 1: we learn about people, yeah, people fit into these categories. 600 00:34:51,760 --> 00:34:54,600 Speaker 1: May talked about the spectrum of sexual taste. Here's your spectrum. 601 00:34:54,800 --> 00:34:57,600 Speaker 1: This is Yeah, this is the same kind of thing, 602 00:34:58,160 --> 00:35:00,319 Speaker 1: right when I used to talk about, you know, people 603 00:35:00,320 --> 00:35:02,839 Speaker 1: into sheep, putting people into that kind of spectrum. Well, 604 00:35:02,840 --> 00:35:06,000 Speaker 1: that's probably in It's probably on the list, is what 605 00:35:06,200 --> 00:35:12,960 Speaker 1: is maverick reek m A v R i Q maverick maveriek. 606 00:35:13,080 --> 00:35:15,719 Speaker 1: Let me see these are quite thee And it says, 607 00:35:15,719 --> 00:35:17,759 Speaker 1: by the way, this flag combines forty looking for one 608 00:35:17,760 --> 00:35:21,560 Speaker 1: I can identify with. Because we talked about two spirit 609 00:35:21,640 --> 00:35:24,200 Speaker 1: one day, we know what that is. See you know what, 610 00:35:24,280 --> 00:35:27,600 Speaker 1: in a year, we'll probably know all these uh it's. 611 00:35:27,719 --> 00:35:32,040 Speaker 1: It describes those whose gender exists outside of binary completely 612 00:35:33,360 --> 00:35:36,960 Speaker 1: will that wouldn't that be non binary? It exists on 613 00:35:37,000 --> 00:35:41,600 Speaker 1: its own plane of gender, separate from all others. It 614 00:35:41,680 --> 00:35:45,239 Speaker 1: is a gender characterized by autonomy and interconviction regarding a 615 00:35:45,320 --> 00:35:48,920 Speaker 1: sense of self that is entirely independent. It is not neutral. 616 00:35:49,200 --> 00:35:52,239 Speaker 1: There's another chapter of the Narcissistic Ways of this world. Now. 617 00:35:52,800 --> 00:35:55,360 Speaker 1: Everybody wants their own specific definition of who they and 618 00:35:55,400 --> 00:35:58,239 Speaker 1: they have their own flag, and they have their own symbols, 619 00:35:58,920 --> 00:36:02,960 Speaker 1: and they even have an all turned it flag. I 620 00:36:04,000 --> 00:36:06,840 Speaker 1: don't none of my favorites right there at the end, unlabeled. 621 00:36:09,800 --> 00:36:13,360 Speaker 1: It's like generic food. Thanks to a few celebrities, I 622 00:36:13,360 --> 00:36:15,919 Speaker 1: now know what pan gender and pan sexual is. My God, 623 00:36:16,160 --> 00:36:19,920 Speaker 1: that's on here, all right? Well, you want to do 624 00:36:19,960 --> 00:36:22,400 Speaker 1: one more? Well, I don't want to look this one up. 625 00:36:22,440 --> 00:36:27,440 Speaker 1: Try gender. I don't want to know. Well, you might 626 00:36:27,480 --> 00:36:30,279 Speaker 1: be into people who are identify as male female end 627 00:36:30,400 --> 00:36:34,120 Speaker 1: non binary, right, would that be tried? No, let me see, 628 00:36:34,680 --> 00:36:38,920 Speaker 1: I don't know. Let me see tried gender in a 629 00:36:39,000 --> 00:36:42,320 Speaker 1: third category which is not situated in between men and women, 630 00:36:43,719 --> 00:36:46,440 Speaker 1: or you're not in the middle. This is another it's 631 00:36:46,440 --> 00:36:50,920 Speaker 1: a blending of three gender identities. Oh my god, for example, 632 00:36:50,960 --> 00:36:57,759 Speaker 1: I trans woman who is attracted to other self identified women. Okay, 633 00:36:58,480 --> 00:37:00,840 Speaker 1: all right, when we come back, you guys can go 634 00:37:00,920 --> 00:37:03,759 Speaker 1: check out the Microsoft flay. We're going to be in Bidenville. Eric, 635 00:37:03,840 --> 00:37:06,239 Speaker 1: anything clicked there? No, we gave you about a half 636 00:37:06,280 --> 00:37:09,160 Speaker 1: a dozen. No, you didn't come up with a heterosexual. 637 00:37:09,800 --> 00:37:14,160 Speaker 1: Oh there's no such thing. That's all right? Sorry, Oh sorry, 638 00:37:14,239 --> 00:37:17,719 Speaker 1: that's been banned. All right apparently. Johnny ken calf I 639 00:37:17,719 --> 00:37:20,359 Speaker 1: AM six forty live everywhere in the iHeartRadio app remark 640 00:37:20,440 --> 00:37:22,120 Speaker 1: live in the twenty four Hour Cafe Newsroom.