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Call our 8 00:00:23,520 --> 00:00:27,840 Speaker 1: friends at Legacy Precious Medals today at eight six, six, six, nine, 9 00:00:28,280 --> 00:00:32,280 Speaker 1: twenty one seventy three or a visit by legacygold dot com. 10 00:00:32,520 --> 00:00:35,120 Speaker 1: When it comes to a driving career, everyone could use 11 00:00:35,120 --> 00:00:38,640 Speaker 1: a little support, especially when it comes to transitions. At LHH, 12 00:00:38,720 --> 00:00:42,599 Speaker 1: we're committed to personalized support, insights and resources that lead 13 00:00:42,640 --> 00:00:45,959 Speaker 1: to more job opportunities no matter what roller professional has 14 00:00:45,960 --> 00:00:49,720 Speaker 1: in your organization. Our services offer an experience that fits 15 00:00:49,800 --> 00:00:54,600 Speaker 1: each individual and for organizations, LHH provides consultative support and 16 00:00:54,680 --> 00:00:58,800 Speaker 1: guidance through the entire outplacement or career transition process. It's 17 00:00:58,880 --> 00:01:04,920 Speaker 1: outplacement imagined. Visit Lahtalent dot com today. No welcome everybody, 18 00:01:04,959 --> 00:01:07,160 Speaker 1: here's a headline for you. I just was looking through 19 00:01:07,160 --> 00:01:12,920 Speaker 1: some news headlines here it is Miss England finalists. You 20 00:01:12,920 --> 00:01:15,600 Speaker 1: probably didn't know there's a beauty pageant for Miss England. 21 00:01:16,800 --> 00:01:22,600 Speaker 1: They don't judge. The teeth becomes the first and pageant's 22 00:01:22,640 --> 00:01:27,960 Speaker 1: history to compete without makeup. That is breakthrough, all right? 23 00:01:28,840 --> 00:01:32,640 Speaker 1: Do you imagine that competing? And that's kind of a 24 00:01:32,680 --> 00:01:35,720 Speaker 1: contest with our makeup. If you go to the New 25 00:01:35,800 --> 00:01:38,400 Speaker 1: York Post today or at least the last time I looked, 26 00:01:38,640 --> 00:01:41,200 Speaker 1: they have a list of their hottest trending stories and 27 00:01:41,280 --> 00:01:46,000 Speaker 1: how many people have read Night And on the list 28 00:01:46,080 --> 00:01:49,160 Speaker 1: is Trump and his documents, right of course, and that's 29 00:01:49,160 --> 00:01:52,960 Speaker 1: got seventy thousand. Do you know what has I think? 30 00:01:53,000 --> 00:01:57,720 Speaker 1: Two hundred and sixty eight thousand? Um, I'm flipping through 31 00:01:57,840 --> 00:02:01,680 Speaker 1: right now. Maria Shriver seen walking the streets of Santa 32 00:02:01,760 --> 00:02:05,880 Speaker 1: Monica without makeup. Oh yeah, Maria Schriver looks unrecognizable while 33 00:02:06,000 --> 00:02:10,359 Speaker 1: visiting new home in Santa Monica. Have you click the story? 34 00:02:10,520 --> 00:02:15,360 Speaker 1: It's all these oversized photos close ups of Maria without 35 00:02:15,400 --> 00:02:19,079 Speaker 1: saying what the paparazzi still does. But somebody the Post said, 36 00:02:19,120 --> 00:02:21,799 Speaker 1: that's what a winner will take. That picture The thing 37 00:02:22,040 --> 00:02:25,760 Speaker 1: it got, it got four times the clicks of Trump's 38 00:02:26,919 --> 00:02:30,040 Speaker 1: papers getting released right now. It's listened two hundred nine 39 00:02:30,120 --> 00:02:35,040 Speaker 1: thousand views, I guess, followed by Richard Simmons breaking his silence, 40 00:02:36,120 --> 00:02:38,400 Speaker 1: telling the Post he's living the life he has chosen. 41 00:02:39,760 --> 00:02:43,639 Speaker 1: See what people are story, sure, way behind them, way 42 00:02:43,680 --> 00:02:47,480 Speaker 1: way behind, not even close even the Trump's story. Give 43 00:02:47,560 --> 00:02:50,280 Speaker 1: me a break. A lot of the news meeting's just 44 00:02:50,320 --> 00:02:54,840 Speaker 1: drolling over that Today's papers documents. Holy mackerel is that 45 00:02:54,919 --> 00:02:57,560 Speaker 1: we're down to. There's nothing in that story today. There's 46 00:02:57,560 --> 00:03:01,160 Speaker 1: absolutely nothing. It's a nothing burger as of today. They 47 00:03:01,240 --> 00:03:04,560 Speaker 1: blacked out half of it. They literally blacked out half 48 00:03:04,560 --> 00:03:06,560 Speaker 1: the pages. So if there's any good I heard the 49 00:03:06,600 --> 00:03:09,400 Speaker 1: reason for the searches because he had other documents earlier 50 00:03:09,440 --> 00:03:11,160 Speaker 1: in the year. So the judge said there is probably more, 51 00:03:11,200 --> 00:03:12,840 Speaker 1: go get them. That's all I got out of it. Well, 52 00:03:12,840 --> 00:03:16,160 Speaker 1: the thing is if they're top secret or secret or 53 00:03:16,200 --> 00:03:19,400 Speaker 1: classified documents, so of course they're gonna black them out. 54 00:03:20,280 --> 00:03:22,520 Speaker 1: That's the That's the whole point of this is he 55 00:03:22,560 --> 00:03:25,280 Speaker 1: had paperwork nobody was supposed to see, so they're not 56 00:03:25,320 --> 00:03:29,080 Speaker 1: gonna put it out on the cable TV networks. But 57 00:03:29,280 --> 00:03:31,440 Speaker 1: if people, well, I thought that everybody wanted to know 58 00:03:31,520 --> 00:03:34,360 Speaker 1: the reasons for the FBI raid not necessarily what's in 59 00:03:34,400 --> 00:03:37,480 Speaker 1: the documents? Well, I wanted to know what was in 60 00:03:37,520 --> 00:03:40,720 Speaker 1: the reasons for the for the property search. He wasn't 61 00:03:40,720 --> 00:03:42,960 Speaker 1: supposed to have them. Well, yeah, but I think we 62 00:03:43,040 --> 00:03:46,280 Speaker 1: knew that. I guess I knew that contention. Anyway, they 63 00:03:46,360 --> 00:03:50,080 Speaker 1: were back into that classified versus unclassified argument again. Yeah, 64 00:03:50,200 --> 00:03:52,840 Speaker 1: it's it's it's just round and round and round. It's 65 00:03:53,000 --> 00:03:57,040 Speaker 1: ridiculous going anywhere. But I just if you ever wonder, uh, 66 00:03:57,240 --> 00:03:59,880 Speaker 1: you know why all the programs cover the stuff they do. 67 00:04:00,480 --> 00:04:03,240 Speaker 1: You go with Maria Shriver and no makeup, You're gonna 68 00:04:03,280 --> 00:04:07,400 Speaker 1: get a much bigger audience than uh, you know, Trump's 69 00:04:07,400 --> 00:04:11,400 Speaker 1: redacted papers, right, because the people that follow this politics 70 00:04:11,480 --> 00:04:15,440 Speaker 1: so closely are really a small segment. They're obsessive, but 71 00:04:15,480 --> 00:04:18,479 Speaker 1: they're far outnumbered by the masses who just want to 72 00:04:18,480 --> 00:04:21,839 Speaker 1: look at Yeah, Maria Shriver without makeup or Richard Simmons 73 00:04:21,960 --> 00:04:24,920 Speaker 1: funny breaking his silence. Yeah, we would think those would 74 00:04:24,960 --> 00:04:30,400 Speaker 1: have small niches too, well, and I guess they do, 75 00:04:30,480 --> 00:04:33,719 Speaker 1: but they're much larger niches than what's in the mainstream news. Yeah, 76 00:04:33,720 --> 00:04:37,400 Speaker 1: on any given day. I mean, so, what did he 77 00:04:37,520 --> 00:04:41,760 Speaker 1: say here apparently. I mean, well, Richard Simmons has been 78 00:04:41,760 --> 00:04:43,800 Speaker 1: a recluse. I guess that was the story. YE seen 79 00:04:43,880 --> 00:04:47,440 Speaker 1: him for years. He's disappeared some years ago, right, And 80 00:04:48,000 --> 00:04:50,880 Speaker 1: I don't know. I didn't click on that one. They remember. 81 00:04:50,920 --> 00:04:54,000 Speaker 1: The rumor was he was transitioning to a female. They 82 00:04:54,000 --> 00:04:56,560 Speaker 1: even had a name. What was the name? I forgot it. No, 83 00:04:56,720 --> 00:04:59,200 Speaker 1: I don't remember that. They did, Yeah, that don't. We 84 00:04:59,200 --> 00:05:01,479 Speaker 1: talked about it on the but I still don't remember it. 85 00:05:01,600 --> 00:05:03,760 Speaker 1: That one that says it was twenty fourteen he disappeared 86 00:05:03,800 --> 00:05:05,920 Speaker 1: from public eye. Well, i'll see, that's eight years ago. 87 00:05:05,920 --> 00:05:11,920 Speaker 1: Why would I remember that? Well, that can't argue that. 88 00:05:11,920 --> 00:05:14,760 Speaker 1: That's a concept I don't want to think about. I 89 00:05:14,760 --> 00:05:19,000 Speaker 1: don't want to store that in the memory bank. No, huh, No, No, 90 00:05:19,080 --> 00:05:22,840 Speaker 1: I would rather I would rather not know. Right. And 91 00:05:22,880 --> 00:05:27,039 Speaker 1: then there was this story last night that there was 92 00:05:27,080 --> 00:05:31,599 Speaker 1: something wrong with his foot, some sort of birth defect, 93 00:05:31,680 --> 00:05:33,680 Speaker 1: some sort of birth disability he had. There was another 94 00:05:33,720 --> 00:05:38,520 Speaker 1: reasons he wasn't in public, But I didn't even understand that. No, um, 95 00:05:39,320 --> 00:05:41,560 Speaker 1: I didn't know. If he wants to be staying at 96 00:05:41,600 --> 00:05:43,640 Speaker 1: home quiet and leave him alone, let him be at 97 00:05:43,680 --> 00:05:46,279 Speaker 1: home quiet, yeah, he had a he had a well, 98 00:05:46,279 --> 00:05:48,479 Speaker 1: he had a knee replacement. But he was very annoying 99 00:05:48,520 --> 00:05:50,760 Speaker 1: when he wasn't quiet. So he was. He was like 100 00:05:50,800 --> 00:05:53,080 Speaker 1: the last guy I wanted to see on telling. Oh. Yeah, 101 00:05:53,080 --> 00:05:55,159 Speaker 1: he was born without a full set of bones in 102 00:05:55,240 --> 00:05:58,760 Speaker 1: his foot. There's a documentary that's where it came from. 103 00:05:58,800 --> 00:06:02,680 Speaker 1: It causes him physical and emotional problems. Yeah, to the 104 00:06:02,680 --> 00:06:06,160 Speaker 1: point where I guess he just retreated from a few moments. 105 00:06:07,000 --> 00:06:12,000 Speaker 1: Miss that documentary. We should just go through all the 106 00:06:12,080 --> 00:06:14,479 Speaker 1: websites and just do all their top trending stories. There 107 00:06:14,480 --> 00:06:17,640 Speaker 1: would be a hoot of a show, wouldn't it. Yeah, 108 00:06:17,680 --> 00:06:20,560 Speaker 1: But I guess they didn't come up in my recommendations. 109 00:06:21,920 --> 00:06:25,000 Speaker 1: Here's ninety minutes on the bones missing in Richard simmons foot. 110 00:06:25,279 --> 00:06:33,040 Speaker 1: Oh hey, that's a Friday night bashla tequila. All right. Well, 111 00:06:33,080 --> 00:06:35,880 Speaker 1: here's one from the real world of news, which is 112 00:06:36,000 --> 00:06:40,680 Speaker 1: kind of a bummer. The El Segundo Times, and you 113 00:06:40,839 --> 00:06:45,040 Speaker 1: see Berkeley's Institute for Governmental Studies has been putting out 114 00:06:45,080 --> 00:06:47,359 Speaker 1: a bunch of dopey poles. Dude, do you think the 115 00:06:47,400 --> 00:06:50,080 Speaker 1: state is going in the run direction to the right direct? 116 00:06:50,240 --> 00:06:53,719 Speaker 1: I hate that one, But this one is a nugget 117 00:06:53,800 --> 00:06:57,360 Speaker 1: and by a margin of forty one percent to twenty percent, 118 00:06:58,279 --> 00:07:01,120 Speaker 1: which is only sixty one percent of the respondence, Uh, 119 00:07:01,240 --> 00:07:06,040 Speaker 1: George Gascone would have been recalled from office. They can 120 00:07:06,080 --> 00:07:08,599 Speaker 1: only find twenty big segment that didn't have an opinion. 121 00:07:08,640 --> 00:07:14,000 Speaker 1: Apparently thought probably would not have voted. That's true, you're right, 122 00:07:14,000 --> 00:07:16,920 Speaker 1: and probably not paying attention. That was the only thing 123 00:07:16,960 --> 00:07:19,240 Speaker 1: on the ballot. They probably didn't, don't They don't know 124 00:07:19,320 --> 00:07:22,040 Speaker 1: what Gascone is done. They don't know there was a 125 00:07:22,080 --> 00:07:24,560 Speaker 1: recall in the works. They don't know any of it. 126 00:07:24,880 --> 00:07:27,120 Speaker 1: But what you had there is is a two to 127 00:07:27,160 --> 00:07:29,880 Speaker 1: one blowout of Gascone and they only found twenty percent 128 00:07:29,960 --> 00:07:32,320 Speaker 1: of the public interested in saving his rear end. So 129 00:07:32,680 --> 00:07:36,320 Speaker 1: to me, that shows there was more than enough people 130 00:07:36,320 --> 00:07:39,960 Speaker 1: out there who should have signed the petition. It's just 131 00:07:40,040 --> 00:07:44,720 Speaker 1: the people running the recall blew this boxed because then 132 00:07:44,840 --> 00:07:50,400 Speaker 1: the numbers were there and five percent more disapprove of 133 00:07:50,480 --> 00:07:54,720 Speaker 1: his performance forty six to twenty one. Yeah, five six 134 00:07:54,800 --> 00:08:00,840 Speaker 1: percent more a third strongly disapprove. But it shows you 135 00:08:01,120 --> 00:08:04,160 Speaker 1: how much people are paying attention. Because the guests gone 136 00:08:04,200 --> 00:08:07,840 Speaker 1: stuff broke through more than most local stories got right. 137 00:08:08,360 --> 00:08:12,360 Speaker 1: A lot of TV coverage, a lot of you know, 138 00:08:12,440 --> 00:08:15,080 Speaker 1: newspaper coverage, a lot of coverage on our show here. 139 00:08:15,360 --> 00:08:19,360 Speaker 1: So it was a major story that and still still 140 00:08:19,400 --> 00:08:26,360 Speaker 1: you've got what doesn't seem to know or care. Yeah, well, 141 00:08:27,760 --> 00:08:31,600 Speaker 1: I compare it to people that I know them, but 142 00:08:31,640 --> 00:08:34,320 Speaker 1: I how about I put this, I know them, but 143 00:08:34,360 --> 00:08:36,040 Speaker 1: they don't listen to our show, and maybe they live 144 00:08:36,040 --> 00:08:38,959 Speaker 1: out of the area. And whenever they talk to you 145 00:08:39,200 --> 00:08:43,320 Speaker 1: guys talking about Trump, you talked about the raid, like, 146 00:08:43,880 --> 00:08:46,760 Speaker 1: so they focus on the crazy cable news top story, right, 147 00:08:46,800 --> 00:08:48,640 Speaker 1: because that's yeah, that's all they say. You only know 148 00:08:48,679 --> 00:08:51,760 Speaker 1: what you see, that's right, right. And they assumed we 149 00:08:51,800 --> 00:08:54,200 Speaker 1: spent four years talking about Trump every day when he 150 00:08:54,240 --> 00:08:57,760 Speaker 1: was president, every hour. I'm like, no, it's not really. 151 00:08:57,800 --> 00:09:01,000 Speaker 1: What come to California. You'll be some prized but there's 152 00:09:01,000 --> 00:09:04,320 Speaker 1: probably twelve things much more important than Trump out here. 153 00:09:06,320 --> 00:09:08,439 Speaker 1: You just gotta get suspended a half an hour here. 154 00:09:10,679 --> 00:09:14,679 Speaker 1: Always a great headline. Jared Kushner thinks he could possibly 155 00:09:14,679 --> 00:09:19,960 Speaker 1: become immortal. That's a great one. My generation is, hopefully, 156 00:09:20,000 --> 00:09:22,320 Speaker 1: with the advances of science, either the first generation to 157 00:09:22,360 --> 00:09:24,760 Speaker 1: live forever or the last that's going to die. Oh, 158 00:09:24,800 --> 00:09:27,320 Speaker 1: I've heard that one before from younger people who think 159 00:09:27,360 --> 00:09:30,600 Speaker 1: that there's going to be a breakthrough. Yeah, everybody, every 160 00:09:30,640 --> 00:09:33,160 Speaker 1: generation as people who think that there's not going to 161 00:09:33,200 --> 00:09:35,880 Speaker 1: be a breakthrough, and you are glad your consciousness into 162 00:09:35,880 --> 00:09:40,680 Speaker 1: a computer, you are going to die. Is Walt Disney's 163 00:09:40,679 --> 00:09:44,360 Speaker 1: head still frozen somewhere? That was the rumor? Was that true? 164 00:09:44,720 --> 00:09:46,920 Speaker 1: I thought that was a myth. But Ted Williams's head 165 00:09:48,000 --> 00:09:50,959 Speaker 1: that something fell off. Talk go talk to Ted Williams. 166 00:09:51,000 --> 00:09:53,920 Speaker 1: They bungled that one. I think, so where's the Sandy 167 00:09:54,040 --> 00:09:58,240 Speaker 1: sued there was something that didn't I think he melted. 168 00:09:58,360 --> 00:10:01,040 Speaker 1: They didn't keep him cold enough. It's right, yeah, really 169 00:10:01,080 --> 00:10:03,040 Speaker 1: there was some problem with it. I don't think Ted's 170 00:10:03,320 --> 00:10:07,320 Speaker 1: his brain melt. Yes, didn't breaking back hit for the 171 00:10:07,320 --> 00:10:12,559 Speaker 1: Dodgers theory. It turned into like a soft, gooey mess. 172 00:10:12,679 --> 00:10:16,040 Speaker 1: I remember one doctor said. Yeah, they sued, that's that's 173 00:10:16,040 --> 00:10:19,280 Speaker 1: like thirty years ago. But once you freeze a brain 174 00:10:19,520 --> 00:10:22,840 Speaker 1: and then thought out, I have one of those places 175 00:10:22,840 --> 00:10:25,520 Speaker 1: near me. But I like those cry o places. Have 176 00:10:25,559 --> 00:10:27,599 Speaker 1: you seen those come in and they think you know 177 00:10:27,640 --> 00:10:29,920 Speaker 1: you're gonna freeze your fat away? Or look younger, you 178 00:10:30,000 --> 00:10:32,560 Speaker 1: come in for like a frozen treatment. No market will 179 00:10:32,600 --> 00:10:37,160 Speaker 1: do that. Um. I actually did do it once, but 180 00:10:39,000 --> 00:10:43,160 Speaker 1: it was it was what's it supposed to do? Tier 181 00:10:43,360 --> 00:10:46,439 Speaker 1: at a different radio station, many many years ago. Yes, 182 00:10:46,600 --> 00:10:49,640 Speaker 1: it wasn't something I wanted to do. What did they 183 00:10:49,679 --> 00:10:55,240 Speaker 1: freeze off? Well, froze her ass off? Or was it that? 184 00:10:56,880 --> 00:11:00,199 Speaker 1: Can't you see I didn't have an ass anymore? Was 185 00:11:00,240 --> 00:11:03,280 Speaker 1: that the idea behind it to sort of freeze the fat? Fat? Yes? 186 00:11:03,400 --> 00:11:06,280 Speaker 1: Where did they find fat on you? You're ninety pounds? 187 00:11:06,520 --> 00:11:09,480 Speaker 1: We don't know? Years ago? Would she look like the 188 00:11:09,600 --> 00:11:13,400 Speaker 1: same the same? Did you have a balloon period? She's 189 00:11:13,400 --> 00:11:16,280 Speaker 1: always critical of her looks, Oh, you know, we all 190 00:11:16,320 --> 00:11:20,040 Speaker 1: I have a little what were you freezing a balloon? Period? Well, 191 00:11:20,240 --> 00:11:22,640 Speaker 1: sometimes people go through they balloon up for a while, 192 00:11:23,080 --> 00:11:26,640 Speaker 1: like Oprah. I did not balloon up. Yeah, and I 193 00:11:26,679 --> 00:11:30,719 Speaker 1: didn't notice any changes I see. Okay, So when they 194 00:11:30,720 --> 00:11:34,040 Speaker 1: froze it, did it freeze and fall off? No? It's 195 00:11:34,080 --> 00:11:36,920 Speaker 1: supposed to come out when you when you pee or 196 00:11:37,000 --> 00:11:41,120 Speaker 1: you poop. Really I didn't know that. Yeah, I didn't 197 00:11:41,160 --> 00:11:44,160 Speaker 1: notice any fat. Not did I stare on my bee 198 00:11:44,200 --> 00:11:51,040 Speaker 1: or my poop? Okay? Only in radio would add like that? 199 00:11:51,120 --> 00:11:55,719 Speaker 1: Run you always have something there. I tell you, all right, 200 00:11:55,720 --> 00:11:58,160 Speaker 1: we got more coming again. We could spend the whole 201 00:11:58,160 --> 00:12:00,520 Speaker 1: four hours figure out what Deborah Bark wants to freeze off. 202 00:12:00,559 --> 00:12:04,160 Speaker 1: I mean, she just gave me a few off air 203 00:12:04,200 --> 00:12:08,439 Speaker 1: details that. Yeah, did she end up doing the ads 204 00:12:08,559 --> 00:12:14,520 Speaker 1: or very briefly her heart was not in it. Yeah, 205 00:12:14,559 --> 00:12:18,560 Speaker 1: we're aloaded today. That means moist line two rounds. There 206 00:12:18,600 --> 00:12:20,920 Speaker 1: are some hacks for the dumpster coming up in the 207 00:12:21,600 --> 00:12:24,199 Speaker 1: five o'clock hour on The John and Ken's show. We're 208 00:12:24,200 --> 00:12:27,520 Speaker 1: also going to be talking about probably the most enormous, 209 00:12:28,160 --> 00:12:32,080 Speaker 1: disgusting homeless encampment in the entire state that a judge 210 00:12:32,080 --> 00:12:36,760 Speaker 1: has finally green lighted to be dismantled. That's all coming up. 211 00:12:37,000 --> 00:12:39,680 Speaker 1: There's a video this week that we had the story 212 00:12:39,760 --> 00:12:41,480 Speaker 1: up on the board yesterday. We didn't get to it. 213 00:12:42,120 --> 00:12:46,640 Speaker 1: I just cannot stop watching it. And obviously it's a 214 00:12:46,640 --> 00:12:50,240 Speaker 1: bit of a horror film, but what would the category be. 215 00:12:50,360 --> 00:12:54,559 Speaker 1: The little boy in me finds it hysterically funny. This 216 00:12:54,679 --> 00:12:56,800 Speaker 1: John was from Ithaca, New York, Remember a good old 217 00:12:58,720 --> 00:13:01,880 Speaker 1: Yeah that was down the road from Myra. Yes, it's 218 00:13:01,880 --> 00:13:04,480 Speaker 1: at the home of Cornell University somewhere around there. It is. 219 00:13:04,640 --> 00:13:08,880 Speaker 1: That's about all it's known for. That's it's a very uh, 220 00:13:09,080 --> 00:13:11,760 Speaker 1: it's nice kind of community. You know, trees, trees, and 221 00:13:11,920 --> 00:13:14,320 Speaker 1: it's an ivy league town, so it's got that charm 222 00:13:14,400 --> 00:13:17,360 Speaker 1: to it. So this lady is out there in her garden. 223 00:13:17,360 --> 00:13:20,400 Speaker 1: I guess they had they have surveillance cameras, maybe like 224 00:13:20,720 --> 00:13:23,880 Speaker 1: like ring outside the house. She's standing near her garden 225 00:13:23,960 --> 00:13:27,080 Speaker 1: on a sidewalk, and it's an older woman. I wouldn't 226 00:13:27,120 --> 00:13:30,319 Speaker 1: I don't know how old, but she's apparently on the 227 00:13:30,360 --> 00:13:34,040 Speaker 1: phone with her back turned sort of to the camera. 228 00:13:34,679 --> 00:13:40,720 Speaker 1: And then, like lightning speed, this tiny little fox comes 229 00:13:40,800 --> 00:13:44,559 Speaker 1: running around the corner and jumps on her leg. Did 230 00:13:44,559 --> 00:13:47,120 Speaker 1: you watch this? Yes? I have? Oh my god, it 231 00:13:47,240 --> 00:13:51,720 Speaker 1: was fast, fantastic. So she first tries to shake the 232 00:13:51,800 --> 00:13:55,880 Speaker 1: dog off her leg, but eventually the dog clomps onto 233 00:13:55,960 --> 00:14:00,240 Speaker 1: her hand and she's got the fox, the dog, the 234 00:14:00,280 --> 00:14:03,280 Speaker 1: fox in the air where she's shaking it, and every 235 00:14:03,320 --> 00:14:05,160 Speaker 1: time it hits the ground, it pops back up and 236 00:14:05,200 --> 00:14:11,480 Speaker 1: just watches onto her again. It's it is like cartoonish. Yeah, 237 00:14:12,440 --> 00:14:15,360 Speaker 1: it looks like it looks like she's doing this strange dance. 238 00:14:16,360 --> 00:14:18,880 Speaker 1: She gives it a good kick but it does not 239 00:14:19,320 --> 00:14:21,840 Speaker 1: give up. And then, of course, first she tries to 240 00:14:21,880 --> 00:14:24,800 Speaker 1: shake it off her arm, and I was first on 241 00:14:24,840 --> 00:14:26,280 Speaker 1: her leg and she shook it off her leg, and 242 00:14:26,280 --> 00:14:28,640 Speaker 1: then she kicked it and it goes flying in the air, 243 00:14:28,760 --> 00:14:30,560 Speaker 1: but it comes right back at her and eventually latches 244 00:14:30,600 --> 00:14:32,760 Speaker 1: onto her arm, where she shakes it off and it 245 00:14:32,760 --> 00:14:35,760 Speaker 1: comes back again. Eventually, a man that looks like her 246 00:14:35,800 --> 00:14:38,680 Speaker 1: husband comes along with a stick, and I don't know 247 00:14:38,680 --> 00:14:40,000 Speaker 1: whether or not it picked up on that, but it 248 00:14:40,080 --> 00:14:43,560 Speaker 1: runs off. I'm watching it again just now. Oh it's 249 00:14:43,720 --> 00:14:47,200 Speaker 1: good kick there. Yeah, yeah, that does flying through the 250 00:14:47,200 --> 00:14:51,120 Speaker 1: air and he came right back. The extra point is good. Yeah, yeah, 251 00:14:51,200 --> 00:14:54,120 Speaker 1: this fox comes right back. Then she swings him around. 252 00:14:54,560 --> 00:14:59,360 Speaker 1: She's swinging him around in the air and then flings 253 00:14:59,400 --> 00:15:02,760 Speaker 1: him yeah point she sort of it's like like cuddling it. 254 00:15:02,760 --> 00:15:05,240 Speaker 1: And then but it's latched onto her sweater. Oh I 255 00:15:05,320 --> 00:15:08,200 Speaker 1: love this thing. Oh this is hysterical. You know. The 256 00:15:08,200 --> 00:15:10,280 Speaker 1: thing is on the ring video you could see the 257 00:15:10,320 --> 00:15:13,560 Speaker 1: fox approaching her from behind and she's standing there just 258 00:15:13,600 --> 00:15:16,560 Speaker 1: looking around. She has no idea, right, well, turn around, 259 00:15:16,760 --> 00:15:19,600 Speaker 1: turn around. Now it makes a bee line for her. 260 00:15:19,640 --> 00:15:24,200 Speaker 1: Really focused, like, yeah, now it does turn out sadly 261 00:15:24,480 --> 00:15:29,560 Speaker 1: the animal was killed later. Sorry deba mark dead fox. 262 00:15:29,600 --> 00:15:31,480 Speaker 1: It had rainis I mean, have you seen what but 263 00:15:31,560 --> 00:15:34,640 Speaker 1: this fox was doing? It's rabid. Oh she hasn't seen 264 00:15:34,640 --> 00:15:38,280 Speaker 1: this video. It's hysterical. You don't want to see her 265 00:15:38,480 --> 00:15:42,680 Speaker 1: flinging the fox. But it's a lesson. You need to 266 00:15:42,760 --> 00:15:47,760 Speaker 1: learn that animals are not us to fling a fox 267 00:15:47,800 --> 00:15:50,320 Speaker 1: in the air to save your life. You do ye 268 00:15:50,760 --> 00:15:52,800 Speaker 1: attacked you? Yeah? Really? What are you can just stand 269 00:15:52,840 --> 00:15:54,720 Speaker 1: there and say it's okay. I would get it down 270 00:15:54,800 --> 00:15:58,880 Speaker 1: online knees and say it's okaye. Clock your face off. 271 00:16:00,440 --> 00:16:02,160 Speaker 1: I don't think I'd be able to grab a fox 272 00:16:02,200 --> 00:16:03,840 Speaker 1: and swing it in the air. I don't think I 273 00:16:03,840 --> 00:16:07,120 Speaker 1: could do. You would it would survival would kick it. Well, 274 00:16:07,160 --> 00:16:09,240 Speaker 1: I have my tasers, so hopefully that would make enough 275 00:16:09,280 --> 00:16:13,800 Speaker 1: noise and it would scare the fox away. They took 276 00:16:13,800 --> 00:16:16,640 Speaker 1: it to the to the that labid cornell. Yeah, they 277 00:16:16,680 --> 00:16:19,000 Speaker 1: did discover rabies. So she's got to get a series 278 00:16:19,000 --> 00:16:22,040 Speaker 1: of shots. He put it in the story was pictures 279 00:16:22,080 --> 00:16:24,240 Speaker 1: of her injuries or the back of her hand, the 280 00:16:24,280 --> 00:16:28,160 Speaker 1: front of her hand, big gashes as it just clomped 281 00:16:28,200 --> 00:16:30,600 Speaker 1: onto her hand. There and there's one freeze photo of 282 00:16:30,680 --> 00:16:33,160 Speaker 1: looking at where it's just nothing got to him. All 283 00:16:33,200 --> 00:16:36,560 Speaker 1: the kicks and the flings. That's rabies. You've got to 284 00:16:36,560 --> 00:16:39,000 Speaker 1: demand the brain. They do not care, and it's like 285 00:16:39,040 --> 00:16:41,640 Speaker 1: a horror film. It's just it's it's like some of 286 00:16:41,640 --> 00:16:44,120 Speaker 1: the meth vagrants. That's what it reminds me of. Yeah. 287 00:16:44,320 --> 00:16:46,320 Speaker 1: I don't think it was about getting food or just 288 00:16:46,400 --> 00:16:49,440 Speaker 1: programmed to attack. It was just like it just clicked 289 00:16:49,440 --> 00:16:52,400 Speaker 1: at its brain. Now I'm going to attack this. Finally, 290 00:16:52,440 --> 00:16:55,840 Speaker 1: the last kick got him, Yes, And then the guy 291 00:16:55,880 --> 00:16:58,120 Speaker 1: comes with this big stick and it looks like the 292 00:16:58,280 --> 00:17:01,520 Speaker 1: animal sees that and kind of runs off off. But 293 00:17:01,720 --> 00:17:05,760 Speaker 1: they they found it later and they killed it. Oh, 294 00:17:05,800 --> 00:17:08,960 Speaker 1: it says, Oh it tried to bite somebody else nearby. Wow, 295 00:17:09,000 --> 00:17:12,120 Speaker 1: it's insane. And it looks like they killed it. Yeah. 296 00:17:12,200 --> 00:17:14,280 Speaker 1: I went to another to another house, to another lawn 297 00:17:14,320 --> 00:17:17,240 Speaker 1: and then tried to kill it. And as we talked 298 00:17:17,240 --> 00:17:20,880 Speaker 1: about on the show, rabies not a good thing. No, 299 00:17:21,000 --> 00:17:24,080 Speaker 1: it's an automatic death. Yeah, so as you get these shots, 300 00:17:24,119 --> 00:17:26,080 Speaker 1: if you don't get the shots, one hundred percent death. 301 00:17:27,320 --> 00:17:29,239 Speaker 1: And she certainly would have would have gotten it from 302 00:17:29,280 --> 00:17:33,320 Speaker 1: those bites because the rabies would be in the saliva. Yeah. 303 00:17:33,320 --> 00:17:34,959 Speaker 1: I think we mentioned that one day. There was like 304 00:17:35,280 --> 00:17:39,240 Speaker 1: maybe one person that survived when they were young too. 305 00:17:39,280 --> 00:17:42,320 Speaker 1: Maybe there's two that didn't get the shots right away 306 00:17:42,359 --> 00:17:46,680 Speaker 1: but still managed to survive. Yeah, it's rare. Yeah, it's 307 00:17:46,720 --> 00:17:50,320 Speaker 1: it literally is a very low single digit number. Yeah, 308 00:17:50,359 --> 00:17:52,520 Speaker 1: and there's there's probably a reason for it that they 309 00:17:52,520 --> 00:17:55,600 Speaker 1: don't know about. All Right, we got more coming up, 310 00:17:55,680 --> 00:17:59,359 Speaker 1: John and Ken. I love animals, I get it. I 311 00:17:59,400 --> 00:18:02,560 Speaker 1: do understand. Damn you've got I don't think I could physically. 312 00:18:04,040 --> 00:18:06,600 Speaker 1: The fox is going to win. I'm trying to kill you. 313 00:18:06,760 --> 00:18:08,800 Speaker 1: I know that with you. I don't know if I'd 314 00:18:08,800 --> 00:18:11,480 Speaker 1: be able to do it. Ken, I'm not even saying emotionally, 315 00:18:11,520 --> 00:18:13,400 Speaker 1: I don't think I could do it physically. You would 316 00:18:13,480 --> 00:18:15,399 Speaker 1: have to have a survival instate. Kick kid. Then it 317 00:18:15,440 --> 00:18:17,760 Speaker 1: would probably start biting me. I'd be trying to grab 318 00:18:17,760 --> 00:18:20,959 Speaker 1: it. It It would turn into some ridiculous comedy routine. I mean, 319 00:18:21,000 --> 00:18:23,080 Speaker 1: you've been out there with your spray to protect your 320 00:18:23,119 --> 00:18:27,560 Speaker 1: dog from yes, coyotes, Yes, yes, that that that's different 321 00:18:27,600 --> 00:18:30,000 Speaker 1: and it's a it's a loud noise and I hope 322 00:18:30,000 --> 00:18:31,960 Speaker 1: to scare off the coyotes. And I would hope to 323 00:18:32,000 --> 00:18:37,240 Speaker 1: scare off the Fox as well. We got more coming up. 324 00:18:37,240 --> 00:18:40,080 Speaker 1: It's so stressful, it really is more coming up, Johnny 325 00:18:40,080 --> 00:18:43,240 Speaker 1: and Ken I plenty to come. Next hour, we will 326 00:18:43,320 --> 00:18:46,200 Speaker 1: tell you about like one of the largest homeless encampments 327 00:18:46,200 --> 00:18:49,320 Speaker 1: that we think we've seen in the state of California, 328 00:18:49,359 --> 00:18:53,440 Speaker 1: that a judge just gave the ok to be dismantled 329 00:18:53,920 --> 00:18:56,840 Speaker 1: and just take a guess who owns the property. Also, 330 00:18:56,920 --> 00:19:01,360 Speaker 1: the San Francisco Chronicle is a good story. The London 331 00:19:01,480 --> 00:19:05,639 Speaker 1: Breed administration in San Francisco offered them homes, then it 332 00:19:05,760 --> 00:19:09,480 Speaker 1: spent millions of dollars to kick them out, and the 333 00:19:09,560 --> 00:19:13,879 Speaker 1: headlines a bit deceiving. We'll get into the details of 334 00:19:14,000 --> 00:19:16,639 Speaker 1: the story, but it shows you it's the heart of 335 00:19:16,640 --> 00:19:20,240 Speaker 1: this problem, exactly right. It shows you the warped slant 336 00:19:20,359 --> 00:19:23,800 Speaker 1: of the writers in the newspaper, that's right, making it 337 00:19:23,800 --> 00:19:26,240 Speaker 1: sound like that was cold and heartless. Why would you 338 00:19:26,280 --> 00:19:28,280 Speaker 1: spend millions to house them and then kick them out? 339 00:19:28,320 --> 00:19:31,000 Speaker 1: The whole point is to how is them housing first? 340 00:19:31,040 --> 00:19:34,960 Speaker 1: And always Yeah, we'll explain why coming up. Yeah, it's 341 00:19:35,480 --> 00:19:37,199 Speaker 1: one of the prime reasons we tell you that this 342 00:19:37,240 --> 00:19:42,520 Speaker 1: housing first thing does not work. It's nonsense. Okay, we'll 343 00:19:42,560 --> 00:19:45,359 Speaker 1: get into that a bit of a surprise, in the 344 00:19:46,119 --> 00:19:49,080 Speaker 1: kind of ironic. One of the headlines this morning is 345 00:19:49,080 --> 00:19:54,120 Speaker 1: that Maderna has sued Fiser. These are, of course, are 346 00:19:54,160 --> 00:19:57,520 Speaker 1: the two big pharmaceuticals who came up with the first 347 00:19:57,600 --> 00:20:01,879 Speaker 1: to COVID nineteen vaccine. And I thought originally they were 348 00:20:01,960 --> 00:20:04,080 Speaker 1: kind of sort of working together. I guess they weren't. 349 00:20:04,240 --> 00:20:07,240 Speaker 1: I know, Fiser was working with a company called BioNTech 350 00:20:07,320 --> 00:20:13,440 Speaker 1: at German company, right, yeah, Maderna was entirely American, I think. Okay, 351 00:20:15,160 --> 00:20:19,359 Speaker 1: The technology for this, called mRNA was developed or started 352 00:20:19,400 --> 00:20:22,600 Speaker 1: to develop over forty years ago, and it took a 353 00:20:22,600 --> 00:20:25,600 Speaker 1: long time because nobody wanted to finance it. There was 354 00:20:25,640 --> 00:20:28,040 Speaker 1: a female researcher who did a lot of the work, 355 00:20:28,080 --> 00:20:30,480 Speaker 1: and because she was a female researcher thirty years ago, 356 00:20:30,520 --> 00:20:34,880 Speaker 1: nobody wanted to give her any grant money. But eventually 357 00:20:35,359 --> 00:20:37,640 Speaker 1: they did develop it and they were it was kind 358 00:20:37,640 --> 00:20:40,119 Speaker 1: of sitting around waiting for the right disease that they 359 00:20:40,119 --> 00:20:44,719 Speaker 1: could use it on, and then COVID showed up. But 360 00:20:44,840 --> 00:20:47,080 Speaker 1: I don't know what the patent fight would be. Probably 361 00:20:47,119 --> 00:20:54,400 Speaker 1: something hyper technical. Well, yeah, one involves a chemical modification. 362 00:20:54,480 --> 00:20:58,359 Speaker 1: Maderna says that it's scientists were the first to demonstrate 363 00:20:58,359 --> 00:21:01,800 Speaker 1: in human trials in twenty fifth deem, the idea being 364 00:21:01,840 --> 00:21:06,760 Speaker 1: that the vaccine would not provoke an undesirable immune response. 365 00:21:07,240 --> 00:21:11,320 Speaker 1: They're claiming that Fiser copied that from them. They copied 366 00:21:11,800 --> 00:21:14,840 Speaker 1: And would that be like like a spy brought them 367 00:21:14,840 --> 00:21:21,199 Speaker 1: the formulas for for that for that trial or stolen documents? Yeah, 368 00:21:21,240 --> 00:21:23,920 Speaker 1: because if there was in human trials, maybe somebody leaked 369 00:21:24,080 --> 00:21:26,600 Speaker 1: the information to UH. I mean that's the claim. It's 370 00:21:26,600 --> 00:21:28,280 Speaker 1: just a lawsuit. I don't know if it's real or not. 371 00:21:28,600 --> 00:21:33,240 Speaker 1: To Fiser and UH actually used the word they copied 372 00:21:33,240 --> 00:21:36,960 Speaker 1: two key elements of their intellectual property. The other is 373 00:21:37,000 --> 00:21:41,119 Speaker 1: related to the way both vaccines target the distinctive spike 374 00:21:41,240 --> 00:21:45,879 Speaker 1: protein on the outside of the virus. And you've seen 375 00:21:46,040 --> 00:21:49,160 Speaker 1: that and heard those stories before, and I guess they're 376 00:21:49,200 --> 00:21:51,680 Speaker 1: claiming they came up with that first and Fiser stole 377 00:21:51,760 --> 00:21:56,280 Speaker 1: that too. We were filing these lawsuits to protect the 378 00:21:56,280 --> 00:22:01,680 Speaker 1: innovative m RNA technology platform that we pioneer invested billions 379 00:22:01,720 --> 00:22:05,320 Speaker 1: in and Patton did during the decade proceeding. Yeah, you're right, John, 380 00:22:05,359 --> 00:22:09,639 Speaker 1: this is mRNA research has been around a while. I 381 00:22:09,640 --> 00:22:11,760 Speaker 1: guess they were just waiting for the right opportunity to 382 00:22:11,800 --> 00:22:14,400 Speaker 1: put it into motion, to come up with the vaccine 383 00:22:14,400 --> 00:22:16,480 Speaker 1: based on the very beginnings if we go back to 384 00:22:16,520 --> 00:22:19,840 Speaker 1: the late nineteen seventies. But it wasn't until this, uh, 385 00:22:19,920 --> 00:22:23,040 Speaker 1: this woman researcher, I think in the early nineties. Really 386 00:22:23,080 --> 00:22:26,200 Speaker 1: guy got some money and it started gaining traction. But 387 00:22:26,240 --> 00:22:27,960 Speaker 1: it took it took a long time, and then it 388 00:22:28,000 --> 00:22:31,520 Speaker 1: was sitting there doing nothing. This is the this is 389 00:22:31,560 --> 00:22:34,080 Speaker 1: the technology that's going to kill us, that took the vaccine. 390 00:22:34,160 --> 00:22:36,560 Speaker 1: The conspiracy theory people believe we made a big mistake 391 00:22:36,600 --> 00:22:40,240 Speaker 1: and over the long term, we're gonna we're gonna add 392 00:22:40,240 --> 00:22:42,639 Speaker 1: an orph into something weird. What's supposed Yeah, well I 393 00:22:42,640 --> 00:22:44,960 Speaker 1: don't know what. They They think they can use this 394 00:22:45,040 --> 00:22:48,760 Speaker 1: on lots of stuff, like like the template. Right. I 395 00:22:48,840 --> 00:22:53,280 Speaker 1: think they can go after other major diseases because it's 396 00:22:53,320 --> 00:22:58,200 Speaker 1: about it's about tweaking genetics, and if they figure out 397 00:22:58,200 --> 00:23:01,919 Speaker 1: how to do it for the other diseases, then it 398 00:23:02,000 --> 00:23:07,720 Speaker 1: would be an enormous breakthrough. Yeah. They use a molecule 399 00:23:07,800 --> 00:23:11,000 Speaker 1: of genetic code, a messenger, it's called RNA to generate 400 00:23:11,000 --> 00:23:15,800 Speaker 1: an immune response in your body. That was the theory 401 00:23:15,840 --> 00:23:18,919 Speaker 1: behind this technology, right. You splice out part of the 402 00:23:18,960 --> 00:23:22,119 Speaker 1: genetic code and you swap in a new genetic code, 403 00:23:22,680 --> 00:23:27,399 Speaker 1: which gets you the desired reaction that trains the body 404 00:23:27,440 --> 00:23:29,640 Speaker 1: to fight off the real virus when it comes into 405 00:23:29,760 --> 00:23:35,159 Speaker 1: contact with it, which I think worked because unless you 406 00:23:35,200 --> 00:23:38,600 Speaker 1: don't believe all the numbers, no, people that were vaccinated 407 00:23:38,760 --> 00:23:41,000 Speaker 1: still got COVID, but they didn't die in the numbers 408 00:23:41,040 --> 00:23:42,840 Speaker 1: that they were dying. Because the other thing that came 409 00:23:42,840 --> 00:23:46,439 Speaker 1: out today is the CDC admitted that it was the 410 00:23:46,520 --> 00:23:50,640 Speaker 1: mutations that caused the vaccines not to be as effective 411 00:23:50,720 --> 00:23:55,280 Speaker 1: later on. They were very effective against the original version 412 00:23:55,320 --> 00:23:59,320 Speaker 1: of COVID COVID, right, But I think they came up 413 00:23:59,320 --> 00:24:03,760 Speaker 1: with all those mutations right then every time there was 414 00:24:03,760 --> 00:24:08,720 Speaker 1: a mutation. See, what's what's really fascinating is you know, 415 00:24:08,800 --> 00:24:11,119 Speaker 1: you look at at viruses, right, and you have to 416 00:24:11,200 --> 00:24:14,240 Speaker 1: magnify them a million times to even get in any 417 00:24:14,280 --> 00:24:17,520 Speaker 1: sense of what they are. So, but they have an 418 00:24:17,560 --> 00:24:24,520 Speaker 1: incredible ability to morph, to mutate, to survive. And it 419 00:24:24,640 --> 00:24:28,879 Speaker 1: figured out early on what the vaccine was doing to 420 00:24:29,320 --> 00:24:31,680 Speaker 1: the cells and in the human body, and so they 421 00:24:31,720 --> 00:24:37,160 Speaker 1: did the virus didn't work around, right May Yeah, well 422 00:24:37,160 --> 00:24:40,920 Speaker 1: that's yeah. It's it's a living organism and all it 423 00:24:41,000 --> 00:24:44,200 Speaker 1: wants to do is survive and reproduce, right, that's it. 424 00:24:44,320 --> 00:24:48,280 Speaker 1: So it produces, that's the code. There's probably thousands of mutations, 425 00:24:48,359 --> 00:24:52,679 Speaker 1: and if you remember Darwinism and natural selection, the mutation 426 00:24:53,480 --> 00:24:57,840 Speaker 1: that survives will then replicate and dominate. And there's like 427 00:24:57,920 --> 00:25:01,160 Speaker 1: one lucky mutation in the whole batch. And the lucky 428 00:25:01,240 --> 00:25:05,479 Speaker 1: mutation was able to get around the vaccine. And now 429 00:25:05,480 --> 00:25:09,000 Speaker 1: we're up to what B dash five dash something dot. 430 00:25:11,600 --> 00:25:14,199 Speaker 1: It looks like those old library codes or remember as 431 00:25:14,240 --> 00:25:18,000 Speaker 1: a kid, Yeah, the Dewey decibel system. That's what the 432 00:25:18,080 --> 00:25:21,919 Speaker 1: numbers around me of. Now I remember this, you know. 433 00:25:21,960 --> 00:25:24,520 Speaker 1: Back when they were developing the vaccine, they said that 434 00:25:24,600 --> 00:25:29,040 Speaker 1: they would not enforce their patents on drug companies in 435 00:25:29,040 --> 00:25:31,800 Speaker 1: like lowood middle income countries because they didn't want to 436 00:25:31,800 --> 00:25:35,879 Speaker 1: interfere with those countries getting their own supply of the vaccine. 437 00:25:36,560 --> 00:25:42,920 Speaker 1: Maderna said that, however, just this year they both said 438 00:25:44,560 --> 00:25:46,919 Speaker 1: that you'll have to respect our property rights in the 439 00:25:47,080 --> 00:25:49,919 Speaker 1: higher income countries. So is this claim going to be 440 00:25:49,920 --> 00:25:55,440 Speaker 1: limited to like US vaccine development? The European countries and 441 00:25:55,600 --> 00:25:58,200 Speaker 1: this is where the money is. Yeah, I know, you 442 00:25:58,280 --> 00:26:01,960 Speaker 1: know there's there's there's no money in the poor let's 443 00:26:01,960 --> 00:26:06,199 Speaker 1: say African countries. It's there's no sense for raising a 444 00:26:06,280 --> 00:26:08,800 Speaker 1: legal fuss over it because the money in court well, 445 00:26:08,800 --> 00:26:11,240 Speaker 1: I don't know where you'd file in court anyway, but 446 00:26:11,680 --> 00:26:14,960 Speaker 1: it would be it would greatly outstrip the profits you 447 00:26:15,000 --> 00:26:17,280 Speaker 1: could make because you know, the African governments are poor, 448 00:26:17,640 --> 00:26:19,800 Speaker 1: many of them are corrupt, so they're not going to 449 00:26:19,880 --> 00:26:23,560 Speaker 1: be paying tax money defies her in Maderna and the US, 450 00:26:23,600 --> 00:26:27,280 Speaker 1: on the other hand, just just shoveled billions at them. 451 00:26:27,560 --> 00:26:31,200 Speaker 1: Apparently it's been a bunch of vaccines lawsuits. Maderna is 452 00:26:31,200 --> 00:26:34,280 Speaker 1: already in a dispute with the National Institutes of Health 453 00:26:35,280 --> 00:26:39,600 Speaker 1: over the credit for key patents related to mRNA, because 454 00:26:39,800 --> 00:26:43,040 Speaker 1: I mean, obviously you have a big team of lawyers 455 00:26:43,119 --> 00:26:44,840 Speaker 1: working for you when you're coming through with this kind 456 00:26:44,840 --> 00:26:49,080 Speaker 1: of breakthrough technology in vaccines, so they want to make 457 00:26:49,119 --> 00:26:51,560 Speaker 1: sure they get all the patents. I don't know if 458 00:26:51,560 --> 00:26:56,560 Speaker 1: somebody stole the data or you know, there's such a 459 00:26:56,600 --> 00:27:00,720 Speaker 1: thing called reverse engineering. I take the material and then 460 00:27:00,720 --> 00:27:02,639 Speaker 1: break it apart to see what it's made of and 461 00:27:02,680 --> 00:27:05,320 Speaker 1: how it works, and then you make your own copy, 462 00:27:06,119 --> 00:27:09,879 Speaker 1: which is what food companies do to try to figure 463 00:27:09,880 --> 00:27:14,439 Speaker 1: out how their competitors make the flavor of the product 464 00:27:14,520 --> 00:27:16,719 Speaker 1: they have. Right, it's like, wow, that's a better product 465 00:27:16,720 --> 00:27:18,840 Speaker 1: than ours. What's in it? And of course you know 466 00:27:18,920 --> 00:27:21,440 Speaker 1: some of the hidiot the ingredients are hidden because their 467 00:27:21,560 --> 00:27:24,320 Speaker 1: proprietary information. But you could take it to a laboratory 468 00:27:24,600 --> 00:27:28,080 Speaker 1: and try to tease them out and then put together 469 00:27:28,119 --> 00:27:32,080 Speaker 1: your own version of it. Yeah, all right, we got 470 00:27:32,080 --> 00:27:34,680 Speaker 1: more coming up. Johnny Ken showed by coming up after 471 00:27:34,720 --> 00:27:36,920 Speaker 1: the news at three o'clock. We're going to talk about 472 00:27:37,240 --> 00:27:41,000 Speaker 1: some homeless issues, particularly a great one out of San Francisco, where, 473 00:27:41,000 --> 00:27:43,040 Speaker 1: of course we've covered this before and it's happened around 474 00:27:43,040 --> 00:27:46,440 Speaker 1: the state, putting the homeless into hotel rooms, which they 475 00:27:46,440 --> 00:27:49,720 Speaker 1: did during the pandemic, and great numbers, and we chronicled 476 00:27:49,720 --> 00:27:51,720 Speaker 1: in San Francisco some of the problems they had with 477 00:27:51,760 --> 00:27:54,000 Speaker 1: the tenants from of those stories about them getting a 478 00:27:54,040 --> 00:27:55,919 Speaker 1: free alcohol and Mari want to deliver it to their 479 00:27:56,400 --> 00:27:58,280 Speaker 1: That's everything we said was going to happen. We knew 480 00:27:58,320 --> 00:28:00,359 Speaker 1: this was going to be a gonna be a failure. 481 00:28:00,960 --> 00:28:03,119 Speaker 1: They were so proud of themselves and they've blown so 482 00:28:03,200 --> 00:28:05,119 Speaker 1: much money and now they've got to reverse some of 483 00:28:05,160 --> 00:28:09,639 Speaker 1: these policies because the predictable happens. So Yeah, because the 484 00:28:09,720 --> 00:28:15,000 Speaker 1: headline is they spent big bucks to house these homeless people, 485 00:28:15,040 --> 00:28:18,400 Speaker 1: then they spent millions to a victim. Yeah, they'll tell 486 00:28:18,400 --> 00:28:20,320 Speaker 1: you why that happened. But I think we just kind 487 00:28:20,320 --> 00:28:23,240 Speaker 1: of touched on it with the little summary we just did. 488 00:28:23,760 --> 00:28:25,600 Speaker 1: We'll get to that story. We'll also tell you about 489 00:28:25,600 --> 00:28:30,240 Speaker 1: a massive Oakland homeless encampment that just got the go 490 00:28:30,280 --> 00:28:33,000 Speaker 1: ahead to be cleaned up from a judge. It took 491 00:28:33,000 --> 00:28:34,480 Speaker 1: a lot of doing. This has been in the works 492 00:28:34,520 --> 00:28:37,200 Speaker 1: for many months and it is disgusting and we don't 493 00:28:37,200 --> 00:28:40,160 Speaker 1: hear how many fires they're broken out at this encampment 494 00:28:40,200 --> 00:28:44,560 Speaker 1: and how fig it is. That's massive, staggering, how large 495 00:28:44,560 --> 00:28:47,800 Speaker 1: this thing is. And since it's you were freeway taking guests, 496 00:28:47,840 --> 00:28:53,200 Speaker 1: who owns the property? We'll talk about that after three o'clock. Well, 497 00:28:53,240 --> 00:28:57,600 Speaker 1: it looks like Governor Heroin that Yeah, let's go with 498 00:28:57,680 --> 00:29:03,080 Speaker 1: that anyway, because it'll annoy them's his wealth is uh well, 499 00:29:03,240 --> 00:29:05,640 Speaker 1: as you know, as governor, he had to put you know, 500 00:29:05,680 --> 00:29:09,600 Speaker 1: all his holdings into a blind trust, sure blind, So 501 00:29:10,120 --> 00:29:13,600 Speaker 1: allegedly he has nothing to do with the operations, the 502 00:29:13,680 --> 00:29:17,840 Speaker 1: day to day decisions. But the headline is that one 503 00:29:17,880 --> 00:29:19,760 Speaker 1: of these well a lot of people are Familiail with 504 00:29:19,840 --> 00:29:23,280 Speaker 1: the plump Jack group. That's the winery company that was 505 00:29:23,360 --> 00:29:26,960 Speaker 1: co founded by Governor Dippity Doo and one of the Gettys. 506 00:29:27,040 --> 00:29:29,600 Speaker 1: Of course, he's tied into that family. It's just Newsom's 507 00:29:29,640 --> 00:29:32,600 Speaker 1: name on it. The Getty's provided all the money, I 508 00:29:32,640 --> 00:29:35,200 Speaker 1: would guess, so, right, yeah, Newsom never made any money 509 00:29:35,200 --> 00:29:38,000 Speaker 1: on his own, but he'll make money from this, right, 510 00:29:38,000 --> 00:29:40,280 Speaker 1: Oh yeah, yeah, Well they gave him a percentage. He's 511 00:29:40,280 --> 00:29:42,479 Speaker 1: the front man. Do you think if you think if 512 00:29:42,480 --> 00:29:43,920 Speaker 1: he didn't put a lot of money into it though, 513 00:29:43,920 --> 00:29:46,240 Speaker 1: they gave him a big percentage or I don't know's 514 00:29:46,320 --> 00:29:49,520 Speaker 1: I'd be curious about that. But she's piled into to 515 00:29:49,680 --> 00:29:52,520 Speaker 1: the papers. You see the photo. There's this photo of 516 00:29:52,640 --> 00:29:57,120 Speaker 1: Newsom from thirty years ago at the original plump Jack 517 00:29:57,200 --> 00:30:01,000 Speaker 1: wine store in San Francisco. Oh real, Oh yeah, I 518 00:30:01,040 --> 00:30:02,480 Speaker 1: see that. Yeah. I don't know if you got a 519 00:30:02,520 --> 00:30:05,600 Speaker 1: print out of him? Oh yeah, why look at him? Yeah, 520 00:30:05,640 --> 00:30:08,840 Speaker 1: it's thirty years ago, nineteen ninety two. Right, So he 521 00:30:08,920 --> 00:30:13,040 Speaker 1: was sillion his twenties. Yeah, he's like twenty three there. Yeah, 522 00:30:13,080 --> 00:30:16,960 Speaker 1: so he just looks so precious, doesn't he. He looks 523 00:30:17,080 --> 00:30:19,480 Speaker 1: very preppy was the term people use back then with 524 00:30:19,560 --> 00:30:23,280 Speaker 1: He's got the white collared shirt, the white khaki pants, 525 00:30:24,640 --> 00:30:27,680 Speaker 1: hair all slicked back with it. He's leaning over the 526 00:30:27,720 --> 00:30:29,960 Speaker 1: bottles of wine on the rack. It's like, look what 527 00:30:30,000 --> 00:30:32,680 Speaker 1: the Getty's bought me. Look the Getty's bought me all 528 00:30:32,720 --> 00:30:35,560 Speaker 1: this wine that I can sell you. By the way, 529 00:30:35,560 --> 00:30:37,880 Speaker 1: plump jack, the word plump jack bothers me. He just 530 00:30:37,880 --> 00:30:41,240 Speaker 1: sounds up scene. Ah. Yeah, I read somewhere where they 531 00:30:41,320 --> 00:30:42,960 Speaker 1: got it from, but I can't remember it all the 532 00:30:43,040 --> 00:30:45,200 Speaker 1: time of my head. It sounds like a name that 533 00:30:45,320 --> 00:30:51,440 Speaker 1: some guy gives his It does listeners. One of our listeners, 534 00:30:51,480 --> 00:30:53,480 Speaker 1: I guess, heard the story yesterday about the lantern fly, 535 00:30:53,840 --> 00:30:59,680 Speaker 1: said why don't we set him loose on some vineyards. 536 00:30:59,680 --> 00:31:02,320 Speaker 1: You don't know the lantern fly as an invasive species. 537 00:31:02,320 --> 00:31:05,600 Speaker 1: It's attacking Northeast crops, but they think it could eventually 538 00:31:05,600 --> 00:31:08,360 Speaker 1: come to California and just eat up all the vineyards. 539 00:31:09,160 --> 00:31:11,560 Speaker 1: It's a big problem, I think for the grape growers. Yeah, 540 00:31:11,600 --> 00:31:13,880 Speaker 1: you know, if if you could just target the lantern 541 00:31:13,960 --> 00:31:18,600 Speaker 1: fly at Newsome's vineyards, then you'd have something. But unfortunately 542 00:31:18,640 --> 00:31:21,640 Speaker 1: everybody would get it. You know, I just came back 543 00:31:21,640 --> 00:31:23,160 Speaker 1: from New York a couple weeks ago on a trip. 544 00:31:23,200 --> 00:31:25,160 Speaker 1: Maybe I had a lantern fly still away my luggage 545 00:31:25,200 --> 00:31:27,080 Speaker 1: and I've let something loose. I have no idea. Oh sure, 546 00:31:27,160 --> 00:31:30,200 Speaker 1: it's your fault. Yeah, we don't have one yet, Deborah, 547 00:31:30,280 --> 00:31:32,640 Speaker 1: But well if we do, it will be your fault 548 00:31:33,720 --> 00:31:35,320 Speaker 1: because I'm the only one that was in New York 549 00:31:35,320 --> 00:31:37,280 Speaker 1: and came back to California. Yeah, how do you know? 550 00:31:38,360 --> 00:31:40,280 Speaker 1: How do I know? You don't? Well, other people got 551 00:31:40,320 --> 00:31:43,200 Speaker 1: off the plane. How's that for a start. It was 552 00:31:43,240 --> 00:31:45,719 Speaker 1: a NonStop flight. So but they didn't have a lantern 553 00:31:45,760 --> 00:31:48,480 Speaker 1: fly in their suitcase like you did. I may have, 554 00:31:48,600 --> 00:31:52,320 Speaker 1: I didn't say I did, might have packed one. So 555 00:31:52,480 --> 00:31:55,520 Speaker 1: the story is that they've just done a major expansion. 556 00:31:56,360 --> 00:32:01,160 Speaker 1: This company, you're right, from billionaire Gordon Getty just acquired 557 00:32:01,200 --> 00:32:04,680 Speaker 1: a nap A vineyard for fourteen and a half million dollars. 558 00:32:04,720 --> 00:32:08,200 Speaker 1: You see, who's living the high life. And of course 559 00:32:08,200 --> 00:32:11,480 Speaker 1: now is the opportunity to mention that we believe mister 560 00:32:11,560 --> 00:32:15,400 Speaker 1: Newsom had a little trouble with wine some years ago. 561 00:32:15,560 --> 00:32:18,640 Speaker 1: It's drinking the profits, remember that. Though he would never 562 00:32:18,720 --> 00:32:21,959 Speaker 1: admit that I had real problems with alcohol. He was saying, oh, 563 00:32:21,960 --> 00:32:24,560 Speaker 1: there were other reasons I went to see people about 564 00:32:24,600 --> 00:32:26,720 Speaker 1: other problems or something like that. Yeah, what do you 565 00:32:26,760 --> 00:32:32,000 Speaker 1: think his problems are? I'm curious what are the psychological 566 00:32:32,040 --> 00:32:35,320 Speaker 1: problems that he needed counseling for when he was drinking 567 00:32:35,320 --> 00:32:37,040 Speaker 1: too much? Why was he why was he drinking? Only 568 00:32:37,080 --> 00:32:39,880 Speaker 1: had that affair and marriage broke up? Yeah? Why did 569 00:32:39,880 --> 00:32:44,680 Speaker 1: he have the affair? Though? Like, what is the psychological Trump? Right? Uh? Oh, 570 00:32:44,720 --> 00:32:49,560 Speaker 1: Kimberly Gilfoyle with Trump Junior. Yeah, what is she about that? 571 00:32:50,080 --> 00:32:53,760 Speaker 1: She really went from one extreme to the other beautifully. 572 00:32:54,000 --> 00:32:57,920 Speaker 1: You know. She why she left Fox News. She used 573 00:32:57,960 --> 00:32:59,760 Speaker 1: to be a big personality on Fox News. Yeah I 574 00:32:59,800 --> 00:33:03,000 Speaker 1: remember that. Yeah. Well, she she was sending around um 575 00:33:05,240 --> 00:33:08,600 Speaker 1: Penis pictures of the guys she was with, wow, to 576 00:33:08,720 --> 00:33:12,560 Speaker 1: all the staffers. Yeah, men and women. I don't know. 577 00:33:12,680 --> 00:33:15,800 Speaker 1: But she was another one that was supposed to show 578 00:33:15,800 --> 00:33:18,880 Speaker 1: off her legs, right. She was hired by Roger Als 579 00:33:19,160 --> 00:33:22,400 Speaker 1: to sit on the edge of that desk that that 580 00:33:22,600 --> 00:33:25,520 Speaker 1: round table of with a short froto talking heads and 581 00:33:25,640 --> 00:33:28,120 Speaker 1: right with a short his command that the women be 582 00:33:28,200 --> 00:33:30,120 Speaker 1: on the on the ends to show their legs, all right, 583 00:33:30,200 --> 00:33:32,640 Speaker 1: So she she always wore a short dress and had 584 00:33:32,680 --> 00:33:35,719 Speaker 1: long legs, and Adam crossed in a provocative way, and 585 00:33:35,760 --> 00:33:42,680 Speaker 1: then that was the shot, big grad. Yeah, plump Jack. 586 00:33:42,720 --> 00:33:44,480 Speaker 1: I like the way they wrote this. Plump Jack hopes 587 00:33:44,520 --> 00:33:50,560 Speaker 1: to prove that um Pulp Valley region in the northeastern 588 00:33:50,600 --> 00:33:55,120 Speaker 1: outskirts of Napa that's always been less visible. They hope 589 00:33:55,160 --> 00:33:58,080 Speaker 1: it's capable of producing better wines than they gotten credit for. 590 00:33:59,320 --> 00:34:00,880 Speaker 1: So they think that they're going to do some sort 591 00:34:00,920 --> 00:34:03,760 Speaker 1: of breakthrough development, buying this vineyard and proving that this 592 00:34:04,360 --> 00:34:09,160 Speaker 1: particular area called Pope Valley can produce these high end 593 00:34:09,160 --> 00:34:12,520 Speaker 1: grapes that'll make the wine even. Did I ever tell 594 00:34:12,600 --> 00:34:16,000 Speaker 1: you my wife was on the phone and she was 595 00:34:16,200 --> 00:34:19,000 Speaker 1: ordering a basket of wine. We were putting together a 596 00:34:19,000 --> 00:34:22,560 Speaker 1: gift basket for somebody. Somebody had done something nice and 597 00:34:22,680 --> 00:34:25,520 Speaker 1: we thought we should send them a gift basket, right yeah, 598 00:34:25,600 --> 00:34:27,759 Speaker 1: with some bottles of wine. And the woman was on 599 00:34:27,800 --> 00:34:30,000 Speaker 1: the phone at the wine shop and she wanted to 600 00:34:30,000 --> 00:34:32,520 Speaker 1: know what brand, and so I will just recommend something 601 00:34:32,800 --> 00:34:35,799 Speaker 1: and she started going through plump Jack and my wife said, oh, 602 00:34:35,840 --> 00:34:37,680 Speaker 1: that would be fine, and I start waving my arms 603 00:34:37,719 --> 00:34:41,719 Speaker 1: and I go, no, no, no, you're not giving any money. No, 604 00:34:41,760 --> 00:34:45,880 Speaker 1: that's Gavin Newsome's winery. My wife says, oh. My husband 605 00:34:45,920 --> 00:34:49,879 Speaker 1: says no, because Gavin Newsom owns it. Here the woman 606 00:34:49,920 --> 00:34:52,160 Speaker 1: at the other end of the phone going, oh, oh, 607 00:34:52,200 --> 00:34:59,560 Speaker 1: I get that a lot. I'm not sending him anybody. Yeah, 608 00:34:59,600 --> 00:35:01,680 Speaker 1: you know. I I enjoy wine, but I don't have 609 00:35:01,719 --> 00:35:06,000 Speaker 1: any strong discerning taste. There are definitely sometimes a glass 610 00:35:06,000 --> 00:35:07,680 Speaker 1: of wine that I know is better than one I've had. 611 00:35:07,760 --> 00:35:10,600 Speaker 1: But the way these people carry on with all the 612 00:35:10,680 --> 00:35:13,520 Speaker 1: distinctions between the wine flavors, And though I don't pick 613 00:35:13,600 --> 00:35:15,799 Speaker 1: up any of that, I mean, you do know when 614 00:35:15,840 --> 00:35:17,680 Speaker 1: you have a bad bottle of line, like an eight 615 00:35:17,680 --> 00:35:20,160 Speaker 1: dollars bottle, Yeah, like a cheap bottle. Yeah, it tastes 616 00:35:20,200 --> 00:35:22,720 Speaker 1: like after and you get a bad headache, right, yeah, 617 00:35:22,840 --> 00:35:24,799 Speaker 1: because I don't I don't know. I don't know what's 618 00:35:24,840 --> 00:35:27,520 Speaker 1: too much in it, but something is too much, right, 619 00:35:27,600 --> 00:35:29,600 Speaker 1: But when you get up, it's like, well, what what 620 00:35:29,600 --> 00:35:32,200 Speaker 1: what's the difference between spending twenty dollars and thirty dollars, 621 00:35:32,280 --> 00:35:34,960 Speaker 1: is like, I don't know. Well, they're going to implement 622 00:35:35,000 --> 00:35:40,080 Speaker 1: some changes in this new vineyard, all organic farming. Let's see, 623 00:35:40,600 --> 00:35:43,200 Speaker 1: they're going to replant some sections, including a hillside whose 624 00:35:43,239 --> 00:35:47,000 Speaker 1: vines burned entirely during the twenty twenty wildfires, and plant 625 00:35:47,000 --> 00:35:49,200 Speaker 1: new vines on some fallow straight. This is quite a 626 00:35:49,239 --> 00:35:53,359 Speaker 1: long story, I'm sure on the newsome plump Jack. It's 627 00:35:53,400 --> 00:35:56,120 Speaker 1: the chronicle. So this is uh oh, this is the 628 00:35:56,160 --> 00:35:58,680 Speaker 1: home mayor, right, this is the tongue bath. This is 629 00:35:59,239 --> 00:36:02,520 Speaker 1: this is the guy hometown tongue bath. All right, what 630 00:36:02,600 --> 00:36:07,520 Speaker 1: will we come back? The San Francisco Mayor apparently dolled 631 00:36:07,520 --> 00:36:10,080 Speaker 1: out quite a bit of money to house the homeless 632 00:36:10,239 --> 00:36:15,200 Speaker 1: during the pandemic, particularly in the hotels, and the headline 633 00:36:15,280 --> 00:36:19,000 Speaker 1: in this updated story is they spent millions of dollars 634 00:36:19,040 --> 00:36:21,719 Speaker 1: to kick the vagrants out of the same hotels they 635 00:36:21,719 --> 00:36:23,480 Speaker 1: put them in. More coming up, John and Ken Show. 636 00:36:23,560 --> 00:36:26,799 Speaker 1: Debra Mark has the news KFI AM six forty. Hey, Ken, 637 00:36:26,840 --> 00:36:28,879 Speaker 1: did you know that gold is the only currency that's 638 00:36:28,920 --> 00:36:31,960 Speaker 1: held its value since the dawn of money? Well? 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