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In the drawing room, a group 11 00:00:34,680 --> 00:00:39,920 Speaker 1: of suspects gathered. The detective has solved the mystery. Ladies 12 00:00:39,920 --> 00:00:44,199 Speaker 1: and gentlemen, the butler did it. You'll never catch me. 13 00:00:44,440 --> 00:00:48,199 Speaker 1: The butler darted to his getaway car. But what he 14 00:00:48,320 --> 00:00:52,600 Speaker 1: didn't know is this is a Nissan sales event. Ad Wait, 15 00:00:52,640 --> 00:00:55,800 Speaker 1: what at his car is no match for the Detective's 16 00:00:55,880 --> 00:01:00,640 Speaker 1: Nissan Road or its standard VC Turbo. In June, save 17 00:01:00,720 --> 00:01:03,160 Speaker 1: on one of your rotten at the Nissan Thrill of 18 00:01:03,240 --> 00:01:06,199 Speaker 1: the Drive Sales event. Get zero pison financing for thirty 19 00:01:06,200 --> 00:01:09,160 Speaker 1: six months on select models. Availability is limited. 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Offer ends for three twenty three. 29 00:01:32,720 --> 00:01:35,360 Speaker 1: Welcome on in. We're going to get going next hour. 30 00:01:35,600 --> 00:01:37,240 Speaker 1: We're going to talk to a man by the name 31 00:01:37,280 --> 00:01:40,839 Speaker 1: of Steve Paul. He apparently wanted to speak to us, 32 00:01:40,880 --> 00:01:44,080 Speaker 1: and his son was one of the victims of the 33 00:01:44,160 --> 00:01:48,080 Speaker 1: Seven eleven robber slash shooter. This sid would be one 34 00:01:48,080 --> 00:01:51,080 Speaker 1: of the biggest man hunts going on around southern California 35 00:01:51,240 --> 00:01:54,760 Speaker 1: right now, because this guy Monday morning went on quite 36 00:01:54,760 --> 00:01:58,120 Speaker 1: a spree. He robbed a number of seven elevens across 37 00:01:58,160 --> 00:02:02,040 Speaker 1: southern California. The one involving Steve Paul's son was out 38 00:02:02,040 --> 00:02:06,880 Speaker 1: on Riverside and his son's name is Jason Harrell. He 39 00:02:06,960 --> 00:02:10,400 Speaker 1: apparently is breathing on his own, no longer in a coma. 40 00:02:10,680 --> 00:02:14,480 Speaker 1: The family says he's a fighter. They hope he fully recovers. 41 00:02:15,520 --> 00:02:18,400 Speaker 1: As you know, they think that this seven eleven shooter 42 00:02:18,520 --> 00:02:21,920 Speaker 1: may have been responsible for some robberies that occurred up 43 00:02:21,919 --> 00:02:24,840 Speaker 1: in the northern San Fernando Valley as well. I understand 44 00:02:24,840 --> 00:02:27,799 Speaker 1: now it was like a coffee shop that he knocked over, 45 00:02:27,840 --> 00:02:30,600 Speaker 1: and perhaps a donut shop and maybe another kind of 46 00:02:30,600 --> 00:02:33,760 Speaker 1: convenience store. Seven eleven has already announced there offering a 47 00:02:33,760 --> 00:02:37,840 Speaker 1: one hundred thousand dollars award, which usually shakes the tree 48 00:02:37,880 --> 00:02:41,080 Speaker 1: a bit. It just does. Even though from the surveillance 49 00:02:41,120 --> 00:02:43,720 Speaker 1: footage you can only see the guy's eyes. Maybe somebody 50 00:02:43,800 --> 00:02:48,079 Speaker 1: recognizes that writing on the shirt, the clothing anything. There's 51 00:02:48,080 --> 00:02:50,480 Speaker 1: plenty of people in his one hundred thousand dollars. I'm 52 00:02:50,480 --> 00:02:52,040 Speaker 1: sure tips are coming in and I hope one of 53 00:02:52,080 --> 00:02:55,400 Speaker 1: them works out. They know this guy, his neighbors and friends, 54 00:02:55,480 --> 00:02:59,320 Speaker 1: of course they do. They know the kind of hoodie wears. 55 00:02:59,639 --> 00:03:04,000 Speaker 1: Those they know is the riding on the sweatshirt. They know. 56 00:03:04,680 --> 00:03:08,120 Speaker 1: But you know, normally the ethic is you don't rat 57 00:03:08,240 --> 00:03:12,359 Speaker 1: out on your buddies. You don't rat out and fellow 58 00:03:12,400 --> 00:03:15,520 Speaker 1: gang members if that's the case, so you have to 59 00:03:15,720 --> 00:03:18,320 Speaker 1: you have to have a cash inducement. So if somebody thinks, yeah, 60 00:03:18,440 --> 00:03:20,800 Speaker 1: may maybe I won't rat him out because they're ordinarily 61 00:03:20,800 --> 00:03:25,480 Speaker 1: you don't. I mean a lot of these crimes, these murders, uh, 62 00:03:25,200 --> 00:03:30,320 Speaker 1: in many neighborhoods, nobody ever testifies. I have never witnessed. 63 00:03:30,360 --> 00:03:32,000 Speaker 1: And this is just my gut feeling. This is not 64 00:03:32,080 --> 00:03:35,440 Speaker 1: a gang member, and often gang members commit these crimes together. 65 00:03:36,320 --> 00:03:38,720 Speaker 1: And there was a report that the guy they're looking 66 00:03:38,760 --> 00:03:41,240 Speaker 1: for in the northern San Fernando Valley that I mentioned, 67 00:03:41,360 --> 00:03:43,040 Speaker 1: who may or may not be the same guy, could 68 00:03:43,080 --> 00:03:46,440 Speaker 1: have been a transient, a transient that may live in 69 00:03:46,440 --> 00:03:48,960 Speaker 1: his car, because obviously to commit these seven eleven robberies, 70 00:03:48,960 --> 00:03:50,840 Speaker 1: he had to be driving around to get from Riverside 71 00:03:50,840 --> 00:03:55,240 Speaker 1: to Santa Anna and Lahabra and Brea. So but you know, 72 00:03:55,360 --> 00:03:58,200 Speaker 1: plenty of homeless people live out of their cars. But 73 00:03:58,320 --> 00:04:00,560 Speaker 1: something about his face and all you can see it 74 00:04:00,600 --> 00:04:03,119 Speaker 1: tells me he could be young. I can't tell. Maybe 75 00:04:03,120 --> 00:04:05,440 Speaker 1: he isn't his twenties. Well usually yeah, I mean I'm 76 00:04:05,520 --> 00:04:08,760 Speaker 1: older people fielder, you get the less likely your art 77 00:04:08,760 --> 00:04:11,920 Speaker 1: of murder. I mean it comes to vagrants. Not when 78 00:04:11,960 --> 00:04:14,080 Speaker 1: it comes to vagrant but the vast majority of crimes 79 00:04:14,080 --> 00:04:17,200 Speaker 1: are committed by people, you know, under thirty they are 80 00:04:17,520 --> 00:04:21,360 Speaker 1: so but all right, So we'll talk to the father 81 00:04:21,480 --> 00:04:24,440 Speaker 1: of one of the seven eleven shooting victims out on 82 00:04:24,480 --> 00:04:27,799 Speaker 1: the riverside coming up in about an hour. Of course, 83 00:04:27,839 --> 00:04:31,479 Speaker 1: the big story in the last hour is the report 84 00:04:31,600 --> 00:04:37,680 Speaker 1: that the first wife of Donald Trump passed away, Avanna Trump. Apparently, 85 00:04:37,920 --> 00:04:40,559 Speaker 1: paramedics were called to her apartment in New York City. 86 00:04:40,600 --> 00:04:43,120 Speaker 1: She was suffering from cardiac arrest. That's about all we know, 87 00:04:43,839 --> 00:04:48,080 Speaker 1: and she did not survive. I haven't seen much of 88 00:04:48,080 --> 00:04:50,960 Speaker 1: her in recent years. She did a lot of interviews 89 00:04:51,000 --> 00:04:52,880 Speaker 1: not long after the marriage end. Didn't seem to be 90 00:04:52,920 --> 00:04:55,039 Speaker 1: in the public light. Better. She got married again and 91 00:04:55,080 --> 00:04:57,400 Speaker 1: that ended in a divorce too. She was married before 92 00:04:57,400 --> 00:05:00,640 Speaker 1: Trump and after Trump she married a guy who's twenty 93 00:05:00,640 --> 00:05:03,680 Speaker 1: three years younger. How is that right. Yeah, he was 94 00:05:03,839 --> 00:05:10,000 Speaker 1: an Italian actor and he died last year of liver cancer. 95 00:05:10,480 --> 00:05:13,520 Speaker 1: Oh okay, but yeah, they were they were married. They 96 00:05:13,640 --> 00:05:15,240 Speaker 1: dated for a number of years, they were married for 97 00:05:15,240 --> 00:05:17,919 Speaker 1: a number of years. She's just been living the life 98 00:05:17,960 --> 00:05:21,080 Speaker 1: of a socialite in New York City, and I sorry 99 00:05:21,240 --> 00:05:24,520 Speaker 1: occasionally photographed and just walking out and getting her hair 100 00:05:24,600 --> 00:05:27,600 Speaker 1: done and shopping for clothes and lunching with her friends 101 00:05:27,680 --> 00:05:31,320 Speaker 1: and doing what those kind of women do when they're 102 00:05:31,360 --> 00:05:36,640 Speaker 1: in retirement. She was an immigrant. She was of Czech descent, 103 00:05:36,760 --> 00:05:39,640 Speaker 1: and she actually was sworn in as US citizen in 104 00:05:39,760 --> 00:05:42,320 Speaker 1: nineteen eighty eight. The Trumps were married from nineteen seventy 105 00:05:42,360 --> 00:05:45,039 Speaker 1: seven the nineteen ninety two and of course had the 106 00:05:45,560 --> 00:05:51,839 Speaker 1: three children well with Donald Trump. She done here under 107 00:05:52,880 --> 00:05:57,640 Speaker 1: somewhat fraudulent circumstances because she married a guy in Austria, 108 00:05:57,680 --> 00:06:01,520 Speaker 1: a friend of hers, just to get an Austrian passport 109 00:06:01,560 --> 00:06:04,640 Speaker 1: so she could emigrate here. And after went through the 110 00:06:04,640 --> 00:06:08,560 Speaker 1: whole process, then they quickly divorced after a few months, 111 00:06:09,520 --> 00:06:12,359 Speaker 1: so her you know, mission accomplished, and that guy helped 112 00:06:12,360 --> 00:06:15,279 Speaker 1: her out. Now when she was you know, Kennon, I 113 00:06:15,279 --> 00:06:18,479 Speaker 1: started out together were in Atlantic City and Trump was 114 00:06:18,680 --> 00:06:20,960 Speaker 1: the king of Atlantic City with three casinos, he was 115 00:06:21,000 --> 00:06:23,960 Speaker 1: opening up his third one, and Havana was the queen 116 00:06:24,080 --> 00:06:27,760 Speaker 1: and she ran the Trump Castle in Atlantic City, also 117 00:06:27,839 --> 00:06:31,000 Speaker 1: ran the Plaza Hotel in New York City, and she 118 00:06:31,160 --> 00:06:34,360 Speaker 1: was quite glamorous. She had a huge helmet of bright 119 00:06:34,440 --> 00:06:38,560 Speaker 1: blonde hair and always wore really expensive clothes, and she 120 00:06:38,680 --> 00:06:42,760 Speaker 1: had that Jaja Gabor accent. It was almost like a walking, 121 00:06:42,920 --> 00:06:47,359 Speaker 1: breathing cartoon character in a way. But you know, everybody 122 00:06:47,400 --> 00:06:51,400 Speaker 1: said she was smarter than Donald and could run a 123 00:06:51,480 --> 00:06:55,600 Speaker 1: hotel better, and great attention to detailed, great taste in 124 00:06:56,279 --> 00:07:01,400 Speaker 1: decorating and keeping the business running. So they were considered 125 00:07:01,400 --> 00:07:05,760 Speaker 1: a power couple and until Marla Maples came along, right, 126 00:07:05,880 --> 00:07:08,600 Speaker 1: And then he meets Marla Maples and found himself a 127 00:07:08,640 --> 00:07:13,800 Speaker 1: new blonde. And while uh Vanna was running Trump Castle, 128 00:07:14,880 --> 00:07:17,679 Speaker 1: Donald had Marla stashed away in a hotel room in 129 00:07:17,680 --> 00:07:22,760 Speaker 1: one of his other casinos. Oh right, yeah, and so 130 00:07:23,040 --> 00:07:25,040 Speaker 1: h you know he would go over to see Marla 131 00:07:25,080 --> 00:07:28,440 Speaker 1: and frolick and go and see Vannah and be married. 132 00:07:29,640 --> 00:07:31,960 Speaker 1: And then I think the New York Post started running 133 00:07:31,960 --> 00:07:37,160 Speaker 1: front page stories about the frolicking and that blew the marriage. Yeah, 134 00:07:37,160 --> 00:07:39,640 Speaker 1: there's a story we dug up from Gawker, what is 135 00:07:39,680 --> 00:07:44,200 Speaker 1: it in twenty sixteen about some confrontations over Marla Maples 136 00:07:44,200 --> 00:07:46,520 Speaker 1: that may or may not have occurred in Aspen, where 137 00:07:46,520 --> 00:07:49,720 Speaker 1: everybody goes. Of course, the ski. Yeah, Ivana Trump was 138 00:07:49,880 --> 00:07:52,320 Speaker 1: quite a skier. I don't think it was a civilized situation. 139 00:07:52,560 --> 00:07:56,200 Speaker 1: And it was possibly some goodness between the Trumps and 140 00:07:56,240 --> 00:07:59,520 Speaker 1: between Havana and Marla. And some people were confused because 141 00:07:59,560 --> 00:08:01,600 Speaker 1: they were both blonde and they saw Trump walking around 142 00:08:01,600 --> 00:08:03,120 Speaker 1: with them, and they weren't sort when they were looking 143 00:08:03,160 --> 00:08:05,520 Speaker 1: at Yeah, because even though Marla is a bit younger 144 00:08:05,560 --> 00:08:08,080 Speaker 1: but still yeah, but from the back, you can't always tell, 145 00:08:08,200 --> 00:08:10,440 Speaker 1: you can't always tell. And yeah, So I think I 146 00:08:10,480 --> 00:08:12,440 Speaker 1: think because of Vona was not only his wife, but 147 00:08:12,480 --> 00:08:16,200 Speaker 1: a business partner and and just intimately involved in running 148 00:08:16,240 --> 00:08:18,400 Speaker 1: his hotels, I think she probably looked at this as 149 00:08:18,440 --> 00:08:21,720 Speaker 1: like a gigantic, massive betrayal because she's running around working 150 00:08:21,800 --> 00:08:24,680 Speaker 1: all day and night, and he was. He was busy, 151 00:08:25,240 --> 00:08:29,200 Speaker 1: you know, amusing himself, he was, so I imagine the 152 00:08:29,200 --> 00:08:34,640 Speaker 1: the betrayal factor was intensified. But who goes to Aspen 153 00:08:34,880 --> 00:08:39,080 Speaker 1: and there is both your wife and your mistress. Why 154 00:08:39,120 --> 00:08:41,240 Speaker 1: would you do that? It sounds like you can run 155 00:08:41,280 --> 00:08:44,360 Speaker 1: into complications. And that's his story, That's exactly what happened. 156 00:08:44,400 --> 00:08:46,320 Speaker 1: But that's what he was doing in Atlantic City too, 157 00:08:46,880 --> 00:08:48,720 Speaker 1: and that's what he was doing when they were both 158 00:08:48,720 --> 00:08:51,520 Speaker 1: in New York, but Aspen is a smaller place, and 159 00:08:51,559 --> 00:08:53,720 Speaker 1: you know, it's kind of centralized around the skiing, so 160 00:08:53,760 --> 00:08:56,200 Speaker 1: it's probably pretty easy to cross paths, is what I'm saying. 161 00:08:56,200 --> 00:09:01,520 Speaker 1: When your Trump, though, everybody knows you, right, so yeah, 162 00:09:01,520 --> 00:09:02,880 Speaker 1: I mean you're taking well, then they're going to see 163 00:09:02,920 --> 00:09:04,800 Speaker 1: you with the mistress and start all the talk up. 164 00:09:04,840 --> 00:09:07,319 Speaker 1: It's almost like, I don't think he cared, no, look 165 00:09:07,320 --> 00:09:10,800 Speaker 1: at it, because he doesn't care about anything, right, he 166 00:09:10,920 --> 00:09:12,640 Speaker 1: cared to the extent of how much is this going 167 00:09:12,679 --> 00:09:18,079 Speaker 1: to cost me? I don't I don't think his personal 168 00:09:18,120 --> 00:09:22,880 Speaker 1: investments and people run very deep. Yeah, exactly. So allegedly 169 00:09:22,920 --> 00:09:25,520 Speaker 1: they had a couple of confrontations of Anna Trump and 170 00:09:25,600 --> 00:09:29,120 Speaker 1: Marla Naples, and then of course the Trumps themselves had 171 00:09:29,120 --> 00:09:32,440 Speaker 1: Aspen where they were really arguing. Some somebody said, who 172 00:09:32,440 --> 00:09:35,040 Speaker 1: witnessed it from a distance, they look like two bad 173 00:09:35,160 --> 00:09:37,160 Speaker 1: people fighting on the subway or something. They were really 174 00:09:37,200 --> 00:09:39,680 Speaker 1: just going at it, yelling and screaming and jested, gesturing 175 00:09:39,720 --> 00:09:43,520 Speaker 1: and well when you when you when you get busted? Yeah, 176 00:09:43,760 --> 00:09:47,120 Speaker 1: went well, you know, like husbands get busted, uh with 177 00:09:47,120 --> 00:09:51,520 Speaker 1: with the with the fluesy mistress, right, you know, the 178 00:09:51,600 --> 00:09:56,560 Speaker 1: wives are obviously enraged. Uh, you know, to the point 179 00:09:56,559 --> 00:09:59,480 Speaker 1: of violence sometimes, And what are you supposed to say? 180 00:09:59,520 --> 00:10:02,880 Speaker 1: What you what are you fighting back with? You did it, 181 00:10:02,920 --> 00:10:04,680 Speaker 1: you got caught it on the front page of the 182 00:10:04,679 --> 00:10:07,839 Speaker 1: paper every day. What are you yelling back at her? 183 00:10:07,880 --> 00:10:09,760 Speaker 1: You're the one who did who did the damage, You're 184 00:10:09,800 --> 00:10:13,560 Speaker 1: the one who ran off. Trump apparently said about the 185 00:10:13,600 --> 00:10:19,320 Speaker 1: whole Aspen stories that he said this, I guess to 186 00:10:19,400 --> 00:10:23,640 Speaker 1: a reporter. Um, there wasn't shouting, but you could obviously 187 00:10:23,679 --> 00:10:25,719 Speaker 1: see there was some friction between us and a man 188 00:10:25,760 --> 00:10:27,360 Speaker 1: who was standing right next to me, who weighed about 189 00:10:27,360 --> 00:10:28,920 Speaker 1: three hundred and fifty pounds, and it wasn't A very 190 00:10:28,960 --> 00:10:31,560 Speaker 1: attractive guy said to me, Hey, it could be worse. Donald, 191 00:10:31,640 --> 00:10:33,480 Speaker 1: I've been an Aspen for twenty years and I've even 192 00:10:33,520 --> 00:10:37,160 Speaker 1: had a date. He's got two women in her. I 193 00:10:37,200 --> 00:10:41,360 Speaker 1: liked the part and was not very attractive in it 194 00:10:41,440 --> 00:10:45,640 Speaker 1: always sizes up people quickly. My favorite was, I forget 195 00:10:45,640 --> 00:10:48,199 Speaker 1: who was talking about it. Look at her the one 196 00:10:48,240 --> 00:10:50,160 Speaker 1: you used to look at her? No, you can. You 197 00:10:50,200 --> 00:10:53,319 Speaker 1: can size people up by looking at him. For those 198 00:10:53,480 --> 00:10:57,040 Speaker 1: who care, the answer is zero. There were no of 199 00:10:57,160 --> 00:11:00,920 Speaker 1: honor Trump picks and the John and Ken twenty two 200 00:11:01,320 --> 00:11:03,960 Speaker 1: Google a pool, all right, coming up as soon as 201 00:11:04,000 --> 00:11:06,320 Speaker 1: we return. We got a keyword. You don't you do 202 00:11:06,320 --> 00:11:10,520 Speaker 1: with that keyword, John, I don't hatch it stick in 203 00:11:10,600 --> 00:11:13,480 Speaker 1: your pocket? Runoff now you enter it at the website 204 00:11:13,559 --> 00:11:16,199 Speaker 1: KFI am sixty dot com and you could win a 205 00:11:16,240 --> 00:11:19,720 Speaker 1: thousand bucks. Coming up next, John and Ken, Fox News 206 00:11:19,840 --> 00:11:22,960 Speaker 1: has a graphic on the bottom of the screen that 207 00:11:23,040 --> 00:11:35,240 Speaker 1: says Starbucks baristas to get active shooter training. That's a tabloidist. Yes, 208 00:11:35,720 --> 00:11:39,400 Speaker 1: let's just adjust to the world. Let's not put the 209 00:11:39,440 --> 00:11:43,600 Speaker 1: bad guys shootings at Starbucks. But well, obviously had enough 210 00:11:43,640 --> 00:11:45,920 Speaker 1: incidents that they feel at the safeties and issues. They're 211 00:11:45,920 --> 00:11:49,280 Speaker 1: they're closing Starbucks because of crazy homeless people barging in 212 00:11:49,400 --> 00:11:52,600 Speaker 1: all day, and now the employees are getting active shooter training. 213 00:11:52,920 --> 00:11:55,000 Speaker 1: It's funny you mentioned that because I'm looking at a 214 00:11:55,080 --> 00:11:59,880 Speaker 1: story where you probably won't know this. Where does where 215 00:12:00,080 --> 00:12:04,719 Speaker 1: does Starbucks originate? What city? I thought Seattle? Correct? So 216 00:12:04,880 --> 00:12:08,200 Speaker 1: you did not? Yes, I just thought you don't drink 217 00:12:08,240 --> 00:12:10,199 Speaker 1: coffee to something that would not be on your radar 218 00:12:10,200 --> 00:12:12,360 Speaker 1: and would not be returning to be a lunkhead. I 219 00:12:12,440 --> 00:12:17,320 Speaker 1: follow business. I don't use products. I follow business. Okay, Uh, 220 00:12:17,400 --> 00:12:21,960 Speaker 1: there's a story I'm reading that they cannot find police officers. 221 00:12:22,000 --> 00:12:25,680 Speaker 1: They had such a turnover. There's a severe staffing shortage, 222 00:12:25,679 --> 00:12:32,720 Speaker 1: the worst they've seen in decades where Seattle. Oh my god. Well, yeah, 223 00:12:32,720 --> 00:12:34,280 Speaker 1: I didn't. I didn't know that was the point of 224 00:12:34,320 --> 00:12:37,120 Speaker 1: you answering the Starbucks question. Oh well, I didn't make 225 00:12:37,120 --> 00:12:40,360 Speaker 1: the connection. Well, it's funny because you brought up the 226 00:12:40,360 --> 00:12:42,160 Speaker 1: Starbucks story and I said, I wasn't that interesting because 227 00:12:42,200 --> 00:12:46,280 Speaker 1: I'm going to talk about Seattle. So you see that. Okay, Uh, 228 00:12:46,320 --> 00:12:49,600 Speaker 1: they are. They announced a two million dollar plan to 229 00:12:49,800 --> 00:12:52,720 Speaker 1: give all sorts of incentives for people to come and 230 00:12:52,760 --> 00:12:56,400 Speaker 1: be a part of their police a department. In fact, 231 00:12:56,480 --> 00:12:59,959 Speaker 1: they're going to offer a thirty thousand dollars signing bonus 232 00:13:00,160 --> 00:13:03,320 Speaker 1: if you transfer from another police department to Seattle. That's 233 00:13:03,320 --> 00:13:06,480 Speaker 1: one of their enticements. That's a nice pile of money. Well, 234 00:13:06,600 --> 00:13:11,440 Speaker 1: Starbucks announced that sixteen stories are being closed. Listen to 235 00:13:11,480 --> 00:13:16,960 Speaker 1: the cities. Six in LA six in Seattle, two in Portland, 236 00:13:17,640 --> 00:13:21,760 Speaker 1: one in Philly, and one in Washington, d c. All 237 00:13:22,000 --> 00:13:27,679 Speaker 1: hostile to police. Most of them have crazy, woke, destructive 238 00:13:27,800 --> 00:13:31,240 Speaker 1: das can I also say something though, and I'm not 239 00:13:31,280 --> 00:13:32,920 Speaker 1: trying to pour cold water in that story, but they 240 00:13:32,960 --> 00:13:37,000 Speaker 1: have been closing Starbucks, not for safety reasons, but when 241 00:13:37,000 --> 00:13:40,960 Speaker 1: the pandemic hit, obviously business declined. And then, as you 242 00:13:40,960 --> 00:13:43,640 Speaker 1: can imagine, some of the people that you Starbucks are 243 00:13:43,720 --> 00:13:46,480 Speaker 1: what are they calling them now, sort of upscale, so 244 00:13:46,600 --> 00:13:48,360 Speaker 1: they don't commute, they don't commute to work as much 245 00:13:48,400 --> 00:13:50,160 Speaker 1: anymore so than they're not going to Starbucks. They're not 246 00:13:50,200 --> 00:13:52,080 Speaker 1: hanging out there with their damn laptops. Well, if I 247 00:13:52,080 --> 00:13:57,319 Speaker 1: saw the closings were distributed across the whole country, well 248 00:13:57,320 --> 00:14:00,280 Speaker 1: there were closings before this announcement. Well they call two 249 00:14:00,280 --> 00:14:02,360 Speaker 1: of them right near me, and nothing to do with safety. 250 00:14:02,520 --> 00:14:04,880 Speaker 1: Was just they decided they didn't need them. But then 251 00:14:04,880 --> 00:14:07,400 Speaker 1: they built another one, So I guess they just picked 252 00:14:07,400 --> 00:14:11,160 Speaker 1: another location. But this round they're claiming is because of 253 00:14:11,160 --> 00:14:13,360 Speaker 1: the safety. The safety is oh yeah, yeah, I know 254 00:14:13,440 --> 00:14:17,400 Speaker 1: this particular, but yeah it Maybe they built enough Starbucks 255 00:14:17,400 --> 00:14:23,000 Speaker 1: in the world. I gotta believe that eventually most businesses 256 00:14:23,000 --> 00:14:27,080 Speaker 1: that are incredibly successful peak and there's a point where 257 00:14:27,080 --> 00:14:30,800 Speaker 1: there's diminishing returns for constantly opening more of them. Yeah, probably, 258 00:14:30,840 --> 00:14:33,160 Speaker 1: you see that with McDonald's too. I saw, I mean, 259 00:14:33,200 --> 00:14:36,640 Speaker 1: I saw Starbucks the other day. Twenty five people lined up, 260 00:14:37,400 --> 00:14:40,000 Speaker 1: twenty five people and you know, they're all, this is 261 00:14:40,000 --> 00:14:42,560 Speaker 1: what's funny. It is like the bitch about six dollars 262 00:14:42,520 --> 00:14:44,800 Speaker 1: a gallon gas, but six dollars for a cup of 263 00:14:44,800 --> 00:14:47,560 Speaker 1: coffee and you have a twenty five person Wait, oh, 264 00:14:47,640 --> 00:14:49,000 Speaker 1: you know what else they did? I mean, what else 265 00:14:49,040 --> 00:14:50,840 Speaker 1: are they thrown in the coffee to make people that 266 00:14:50,880 --> 00:14:53,480 Speaker 1: addicted not as easy to do near you? But they 267 00:14:53,560 --> 00:14:56,600 Speaker 1: have converted a lot of them into drive throughs. So 268 00:14:56,680 --> 00:14:58,880 Speaker 1: near me they tour. They closed two of them, but 269 00:14:58,920 --> 00:15:01,040 Speaker 1: they opened up a brand new but to drive through 270 00:15:01,280 --> 00:15:04,280 Speaker 1: because that's another thing that the pandemic bought. Nobody wants 271 00:15:04,320 --> 00:15:06,320 Speaker 1: to be inside the store face to face with the 272 00:15:06,320 --> 00:15:08,720 Speaker 1: guy behind the counter and other slugs. So a lot 273 00:15:08,760 --> 00:15:10,640 Speaker 1: of people like like to get their drive through coffee. 274 00:15:10,640 --> 00:15:14,480 Speaker 1: So that's another big business shift that they made. Back 275 00:15:14,520 --> 00:15:17,560 Speaker 1: to Trump, just this is worth mentioning because it's popped 276 00:15:17,640 --> 00:15:20,320 Speaker 1: up in the news again this week, besides the fact 277 00:15:20,320 --> 00:15:22,520 Speaker 1: that the big news this afternoon is that his former 278 00:15:22,560 --> 00:15:25,440 Speaker 1: wife of Vonna Trump, has died at age seventy three. 279 00:15:26,080 --> 00:15:30,600 Speaker 1: Iran apparently is still looking to assassinate Trump, along with 280 00:15:31,320 --> 00:15:36,160 Speaker 1: his former Secretary of State Mike Pompale and a big 281 00:15:36,200 --> 00:15:39,960 Speaker 1: Pentagon guy, a General Kenneth Mackenzie. This is because back 282 00:15:39,960 --> 00:15:42,200 Speaker 1: in twenty twenty, and I remember when this happened. This 283 00:15:42,240 --> 00:15:45,400 Speaker 1: is just a few months before the election, we wiped 284 00:15:45,400 --> 00:15:49,160 Speaker 1: out one of Iran's top generals. He was visiting Iraq, 285 00:15:49,680 --> 00:15:53,800 Speaker 1: allegedly covertly, and one of the drones made him a 286 00:15:53,840 --> 00:16:01,280 Speaker 1: smudge as you like, remember, yes, yeah, General Cassam Solo MONI, yes, 287 00:16:01,360 --> 00:16:05,440 Speaker 1: oh yeah. Now now they want revenge. Well, I mean 288 00:16:05,480 --> 00:16:08,560 Speaker 1: that was several year, was a tent twenty twenty, it's 289 00:16:08,600 --> 00:16:11,400 Speaker 1: two years, two years, right, they were thinking they've been 290 00:16:11,400 --> 00:16:14,480 Speaker 1: trying to do this, But apparently the chatter is out 291 00:16:14,520 --> 00:16:18,360 Speaker 1: there again that they're really focusing on somehow getting somebody 292 00:16:18,360 --> 00:16:22,160 Speaker 1: into the country. Remember the idea. One of the reports 293 00:16:22,240 --> 00:16:24,360 Speaker 1: was that they wanted to plug Trump and he was 294 00:16:24,400 --> 00:16:27,000 Speaker 1: on the golf course, just because you know that it's 295 00:16:27,000 --> 00:16:29,000 Speaker 1: out in the open too, right, Sure there's some way 296 00:16:29,040 --> 00:16:33,240 Speaker 1: you can get a weapon. I don't know. It's not 297 00:16:33,400 --> 00:16:37,400 Speaker 1: hard to get bad guys, terrorists into the country, right, 298 00:16:37,520 --> 00:16:39,840 Speaker 1: I mean, that's the easiest thing in the world. It 299 00:16:39,920 --> 00:16:44,560 Speaker 1: says here. Iran has made Trump and Pompeo priority targets. 300 00:16:45,800 --> 00:16:48,640 Speaker 1: That doesn't mean they can carry this off. But you 301 00:16:48,720 --> 00:16:50,720 Speaker 1: and I always talk about the open border. They might 302 00:16:50,720 --> 00:16:52,800 Speaker 1: be able to get somebody into the pastry. I mean 303 00:16:52,840 --> 00:16:57,200 Speaker 1: over the Mexican border. Yeah, absolutely, No, I mean there's 304 00:16:57,240 --> 00:16:59,880 Speaker 1: there's two million. Biden to let him in. Two million 305 00:17:00,080 --> 00:17:03,320 Speaker 1: people have come over the border I think since Biden 306 00:17:03,360 --> 00:17:07,760 Speaker 1: took over. I'm sure one of them is a bad guy. 307 00:17:09,000 --> 00:17:12,080 Speaker 1: Two of them maybe, and know in their government they 308 00:17:12,119 --> 00:17:15,640 Speaker 1: may try to hire somebody that not necessarily use their 309 00:17:15,640 --> 00:17:19,840 Speaker 1: own agents or military operatives. They may try to hire 310 00:17:20,000 --> 00:17:22,199 Speaker 1: somebody to get in here and carry this out. Oh, 311 00:17:22,240 --> 00:17:25,600 Speaker 1: they're still very bitter about this, and they they had 312 00:17:25,680 --> 00:17:30,240 Speaker 1: quite a funeral for this guy. He was supposedly arming 313 00:17:30,520 --> 00:17:33,280 Speaker 1: some terrorist organizations, which is why we targeted him. He 314 00:17:33,320 --> 00:17:35,720 Speaker 1: was a major terrorist. Yes, I mean he was responsible 315 00:17:35,760 --> 00:17:40,520 Speaker 1: for a lot of death. So this is that that's 316 00:17:40,520 --> 00:17:44,560 Speaker 1: something that had to be done. Yeah, exactly, like in 317 00:17:44,680 --> 00:17:49,720 Speaker 1: any more. So, all right, we got more coming up next. 318 00:17:49,880 --> 00:17:52,760 Speaker 1: Oh you'll like this story. Of course, the move in 319 00:17:52,800 --> 00:17:58,920 Speaker 1: California is everything environmental, right, and of course alternative energies 320 00:17:59,400 --> 00:18:03,439 Speaker 1: that wouldn't clude solar and that of course, when it 321 00:18:03,480 --> 00:18:05,800 Speaker 1: comes to the home, would be about the many people 322 00:18:05,840 --> 00:18:09,439 Speaker 1: in California and they have saved money who've installed solar 323 00:18:09,480 --> 00:18:13,000 Speaker 1: panels on the roof of their home. Well, here's the 324 00:18:13,000 --> 00:18:16,760 Speaker 1: new problem. What do you do with them when they're 325 00:18:16,760 --> 00:18:18,960 Speaker 1: no good anymore and have to be replaced? What do 326 00:18:19,000 --> 00:18:22,080 Speaker 1: you do with those panels? It's a huge environmental mess. 327 00:18:22,080 --> 00:18:25,800 Speaker 1: And we'll explain the difficulties because you can't recycle them. 328 00:18:26,119 --> 00:18:32,240 Speaker 1: Turns out solar panels aren't so green after they decay, 329 00:18:32,240 --> 00:18:34,840 Speaker 1: after they deteriorate. Right, we'll get into that next, John 330 00:18:34,840 --> 00:18:38,880 Speaker 1: and ken Ka Fine. Tomorrow is the Moistline. It's back 331 00:18:38,960 --> 00:18:41,520 Speaker 1: one eight, seven and seven Moist eighty six one eight seven, 332 00:18:41,640 --> 00:18:45,040 Speaker 1: seven six six four seven eight eighty six. Also try 333 00:18:45,080 --> 00:18:47,159 Speaker 1: the iHeart radio app with the little microphone. A lot 334 00:18:47,200 --> 00:18:50,640 Speaker 1: of people using that to leave a message for the Moistline. 335 00:18:50,680 --> 00:18:53,560 Speaker 1: Our guest after three o'clock will be a manned by 336 00:18:53,560 --> 00:18:56,760 Speaker 1: the name of Steve Paul. He's the father of one 337 00:18:56,800 --> 00:18:59,000 Speaker 1: of the people that was shot in this spree of 338 00:18:59,119 --> 00:19:02,640 Speaker 1: seven to eleven abreys that occurred in the early hours 339 00:19:02,680 --> 00:19:06,199 Speaker 1: of Monday, July eleventh. This happened out in Riverside, and 340 00:19:06,240 --> 00:19:08,680 Speaker 1: the man that was shot as Jason Harold. His son 341 00:19:09,640 --> 00:19:13,480 Speaker 1: Steve will talk to us after the news at three 342 00:19:13,520 --> 00:19:16,639 Speaker 1: o'clock here on the John and Kin Show. So, in 343 00:19:16,680 --> 00:19:21,600 Speaker 1: the current day, anything that's considered green is relentlessly hyped 344 00:19:22,640 --> 00:19:26,520 Speaker 1: and very little there's very little details on the follow through. 345 00:19:27,520 --> 00:19:31,000 Speaker 1: It's just that if electric cars exist, they're great, everyone 346 00:19:31,040 --> 00:19:34,000 Speaker 1: should have one. Let's ban all the gas powered cars. 347 00:19:34,000 --> 00:19:37,520 Speaker 1: Blah blah blah. If saltler panels exist, they're great, everybody 348 00:19:37,560 --> 00:19:42,199 Speaker 1: should have them. Let's stop burning coal and natural gas 349 00:19:42,280 --> 00:19:48,159 Speaker 1: and anything else that produces greenhouse gases. But there is 350 00:19:48,400 --> 00:19:52,919 Speaker 1: a lot more than just the product. With electric cars. 351 00:19:53,040 --> 00:19:55,200 Speaker 1: We found out that there's only one company that makes 352 00:19:55,200 --> 00:19:58,399 Speaker 1: one with a decent range. It's Tesla, and it costs 353 00:19:58,400 --> 00:20:01,000 Speaker 1: you sixty thousand dollars. Well, when we talked about the 354 00:20:01,000 --> 00:20:04,000 Speaker 1: materials needed for the batteries and electric cars and how 355 00:20:03,800 --> 00:20:06,399 Speaker 1: how difficult it is to acquire them, and to acquire 356 00:20:06,440 --> 00:20:08,240 Speaker 1: them in the massive amounts they would need for all 357 00:20:08,240 --> 00:20:10,800 Speaker 1: of us to drive electric would probably not be possible, 358 00:20:10,960 --> 00:20:13,080 Speaker 1: in fact, shouldn't be. I read something today where the 359 00:20:13,119 --> 00:20:15,680 Speaker 1: hope was as they mass produced electric cars, the price 360 00:20:15,760 --> 00:20:19,280 Speaker 1: would go down, except the price of the raw materials 361 00:20:19,600 --> 00:20:22,360 Speaker 1: like the lithium are shooting up and up and up, 362 00:20:22,480 --> 00:20:26,439 Speaker 1: so it's getting more expensive to make the cars not cheaper, 363 00:20:26,480 --> 00:20:28,520 Speaker 1: and then you don't have charging stations, you don't have 364 00:20:28,520 --> 00:20:33,160 Speaker 1: an electrical grid. Well, there's something similar here with solar panels. Yeah, 365 00:20:33,160 --> 00:20:35,920 Speaker 1: solar panels, and this story they also Good Times talks 366 00:20:35,920 --> 00:20:38,080 Speaker 1: about back in two thousand and six, the statement on 367 00:20:38,080 --> 00:20:42,640 Speaker 1: a real campaign to incentivise people to install solar panels 368 00:20:42,680 --> 00:20:46,200 Speaker 1: on the roof of their home, all sorts of military 369 00:20:46,280 --> 00:20:51,160 Speaker 1: monetary incentives. And the downside of this is that this 370 00:20:51,240 --> 00:20:54,400 Speaker 1: many years later, a lot of those solar panels are 371 00:20:54,440 --> 00:20:58,240 Speaker 1: reaching the end of their life cycle. One point three 372 00:20:58,320 --> 00:21:05,240 Speaker 1: million rooftops have had solar installed, and I think that's 373 00:21:05,359 --> 00:21:09,119 Speaker 1: a nationwide number, by the way, but in California obviously 374 00:21:09,640 --> 00:21:13,359 Speaker 1: pretty concentrated to a number of people did install rooftop solar. 375 00:21:13,680 --> 00:21:16,800 Speaker 1: So what's to be done with them? Well, they're already 376 00:21:16,880 --> 00:21:21,800 Speaker 1: winding up in the landfills, and the components of these 377 00:21:22,200 --> 00:21:29,320 Speaker 1: rooftop solar panels contain toxic heavy metals like selenium and cadmium, 378 00:21:29,880 --> 00:21:33,919 Speaker 1: and it can contaminate the groundwater. They talked to a 379 00:21:34,040 --> 00:21:38,000 Speaker 1: University of Arizona researcher who said people don't realize that 380 00:21:38,040 --> 00:21:42,600 Speaker 1: there are toxic materials in these electronics. That it's fine 381 00:21:42,600 --> 00:21:44,240 Speaker 1: if it's just sitting in a box in your house, 382 00:21:44,280 --> 00:21:46,520 Speaker 1: but once it gets crushed and put into a landfill, 383 00:21:47,200 --> 00:21:50,200 Speaker 1: the toxic chemicals and materials are going to leak into 384 00:21:50,280 --> 00:21:58,080 Speaker 1: your groundwater. Ninety percent of panels are not recycled. It 385 00:21:58,200 --> 00:22:00,320 Speaker 1: wasn't the theory they were going to recycle them when 386 00:22:00,359 --> 00:22:02,760 Speaker 1: I first launched this program. Somebody must do. Somebody the 387 00:22:02,800 --> 00:22:04,159 Speaker 1: rule must have said what we're gonna do with the 388 00:22:04,160 --> 00:22:06,280 Speaker 1: ones when they wear out? That that's what I'm saying. 389 00:22:06,280 --> 00:22:08,600 Speaker 1: At the beginning. There's a lot of hype, there's a 390 00:22:08,600 --> 00:22:10,080 Speaker 1: lot of money to be made, there's a lot of 391 00:22:10,119 --> 00:22:14,399 Speaker 1: government subsidies to be had, and you just say, oh, 392 00:22:14,600 --> 00:22:18,960 Speaker 1: I'll be recycled, and nobody ever says, how, yeah, what's 393 00:22:19,000 --> 00:22:20,639 Speaker 1: it going to going to happen? Right? Is there a 394 00:22:20,680 --> 00:22:23,640 Speaker 1: market for the recycled materials? Is it going to cost 395 00:22:23,720 --> 00:22:26,880 Speaker 1: more than it's worth? Well that all those all those 396 00:22:26,960 --> 00:22:29,840 Speaker 1: things are issues now with the solar panels, it says 397 00:22:29,840 --> 00:22:35,080 Speaker 1: here about eighty percent of the typical panel it's called photovoltaic, 398 00:22:35,960 --> 00:22:39,000 Speaker 1: is made of recyclable materials, but it is disassembling them 399 00:22:39,000 --> 00:22:43,680 Speaker 1: and recovering the glass, silver and silicon is extremely difficult. 400 00:22:44,480 --> 00:22:48,680 Speaker 1: So that's the problem with this, and he don't really 401 00:22:48,680 --> 00:22:51,679 Speaker 1: have the facilities to do this. Here's the financial situation. 402 00:22:52,440 --> 00:22:54,960 Speaker 1: It costs twenty to thirty dollars to recycle a panel, 403 00:22:55,600 --> 00:22:57,520 Speaker 1: one to two dollars to send it to a landfill. 404 00:22:59,800 --> 00:23:02,919 Speaker 1: So what do you think they're going to do? Highly 405 00:23:03,000 --> 00:23:06,320 Speaker 1: specialized equipment and workers are needed to separate the aluminum 406 00:23:06,320 --> 00:23:09,720 Speaker 1: frame and the junction box from the panel without shattering 407 00:23:09,720 --> 00:23:13,440 Speaker 1: it into glass shards. Specialized furnaces are used to heat 408 00:23:13,440 --> 00:23:16,560 Speaker 1: the panels to recover the silicon. In most states, panels 409 00:23:16,600 --> 00:23:22,760 Speaker 1: are classified as hazardous materials, which require expensive restrictions on packaging, transport, 410 00:23:22,760 --> 00:23:26,600 Speaker 1: and storage. That's why John said it's cheaper just to 411 00:23:26,600 --> 00:23:29,200 Speaker 1: toss it into the land phil If it costs twenty 412 00:23:29,240 --> 00:23:31,080 Speaker 1: to thirty bucks to recycle and only a buck or 413 00:23:31,160 --> 00:23:33,080 Speaker 1: two to send it to the landcle what do you 414 00:23:33,160 --> 00:23:35,280 Speaker 1: think they're going to do it? Because if it costs 415 00:23:35,280 --> 00:23:39,480 Speaker 1: twenty to thirty dollars to recycle it, there's only two 416 00:23:39,520 --> 00:23:42,600 Speaker 1: to four dollars worth of materials recovered from each panel. 417 00:23:42,920 --> 00:23:45,760 Speaker 1: Doesn't are a lot of these Maiden China? Yeah, they are. 418 00:23:46,080 --> 00:23:47,560 Speaker 1: I wonder how much they cost to make. I mean, 419 00:23:47,600 --> 00:23:50,120 Speaker 1: it's more expensive to recycle one just to make another one. 420 00:23:50,280 --> 00:23:51,560 Speaker 1: But you still gotta figure out what to do with 421 00:23:51,600 --> 00:23:53,640 Speaker 1: the old one. Well, but I mean, I mean, look 422 00:23:53,680 --> 00:23:55,840 Speaker 1: a look at the finances there. It costs you twenty 423 00:23:55,880 --> 00:23:58,440 Speaker 1: to thirty dollars to recycle and you're only you get 424 00:23:58,440 --> 00:24:02,600 Speaker 1: two to four dollars of recycled materials, right, And they said, 425 00:24:02,640 --> 00:24:04,800 Speaker 1: even if you had to you were able to recycle 426 00:24:04,840 --> 00:24:09,600 Speaker 1: at a huge scale, you still it still wouldn't make 427 00:24:09,600 --> 00:24:12,440 Speaker 1: you any money. It's a huge money looser to recycled 428 00:24:12,440 --> 00:24:16,760 Speaker 1: solar panels. The website for this list just two locations 429 00:24:16,760 --> 00:24:20,120 Speaker 1: in California that actually recycle the panels too, and they're 430 00:24:20,119 --> 00:24:24,159 Speaker 1: expecting hundreds of millions of more panels to be installed 431 00:24:24,240 --> 00:24:27,840 Speaker 1: in California alone in the next ten years. So they 432 00:24:28,040 --> 00:24:30,320 Speaker 1: kind of have to figure this out. This is kind 433 00:24:30,359 --> 00:24:33,439 Speaker 1: of environmental nightmare. What if there is no way to 434 00:24:33,440 --> 00:24:37,560 Speaker 1: figure it out? What if it's from them, If it's well, 435 00:24:37,600 --> 00:24:40,080 Speaker 1: I mean, you you know, you could use them. It's 436 00:24:40,160 --> 00:24:45,080 Speaker 1: cheaper energy. It's puts out less obviously puts out zero 437 00:24:45,080 --> 00:24:49,239 Speaker 1: greenhouse gases, right, but in terms of environmental damage at 438 00:24:49,240 --> 00:24:52,720 Speaker 1: the other end, it looks like unlimited damage. You're gonna 439 00:24:52,720 --> 00:24:55,960 Speaker 1: have millions and millions of solar panels piled up and 440 00:24:56,440 --> 00:25:01,479 Speaker 1: the ingredients to cont struck the panel or eventually going 441 00:25:01,520 --> 00:25:07,040 Speaker 1: to decay and you know, get into the groundwater. So 442 00:25:07,080 --> 00:25:09,879 Speaker 1: apparently they've come up with the way they classify the 443 00:25:09,960 --> 00:25:14,199 Speaker 1: panels as universal waste and they can be collected at 444 00:25:14,200 --> 00:25:17,680 Speaker 1: more than four hundred universal waste handlers in California, where 445 00:25:17,680 --> 00:25:20,640 Speaker 1: it says they were assessed and transported to dispose, reuse 446 00:25:20,720 --> 00:25:25,600 Speaker 1: or recycle. However, this new regulation they came up with 447 00:25:25,800 --> 00:25:29,960 Speaker 1: to classify them as universal waste doesn't solve the recycling problem, 448 00:25:30,760 --> 00:25:33,639 Speaker 1: which we just laid out for you. No, well, because 449 00:25:33,680 --> 00:25:36,680 Speaker 1: it's very difficult and very expensive to separate the parts, 450 00:25:36,680 --> 00:25:40,600 Speaker 1: and then once you do, it sells for you know, 451 00:25:40,880 --> 00:25:43,600 Speaker 1: four bucks at the most, Right, Well, what are you 452 00:25:43,640 --> 00:25:45,600 Speaker 1: going to do with the four bucks after you just 453 00:25:45,640 --> 00:25:51,040 Speaker 1: spent thirty trying to recycle it? Now you're down twenty 454 00:25:51,080 --> 00:25:54,760 Speaker 1: six dollars for every solar panel in the EU. They 455 00:25:54,840 --> 00:25:58,600 Speaker 1: require all producers that manufactured panels for countries in the 456 00:25:58,600 --> 00:26:01,120 Speaker 1: EU to finance what they call the end of life 457 00:26:01,119 --> 00:26:04,360 Speaker 1: collection and recycling. See. Now, if that happens here, that's 458 00:26:04,359 --> 00:26:07,040 Speaker 1: going to raise the price of the panels because they'll 459 00:26:07,080 --> 00:26:10,400 Speaker 1: just pass that cost along right to the consumers, which 460 00:26:10,480 --> 00:26:14,959 Speaker 1: might make the buying decision. Unless they continue some big incentives. 461 00:26:15,560 --> 00:26:17,760 Speaker 1: It might make people think twice. It's because some people 462 00:26:17,840 --> 00:26:21,240 Speaker 1: already say it's pretty expensive to install paneling in your home. 463 00:26:21,320 --> 00:26:24,320 Speaker 1: So for an over a series of years, Yeah, and 464 00:26:24,320 --> 00:26:26,240 Speaker 1: then you know you need five to seven years to 465 00:26:26,320 --> 00:26:30,240 Speaker 1: make up for the cost with a drastically reduced electric bill. 466 00:26:31,280 --> 00:26:36,040 Speaker 1: But it's it's again, my hype detector is always vibrating. 467 00:26:36,600 --> 00:26:40,000 Speaker 1: Never ever get caught, and be wary of activists, be 468 00:26:40,119 --> 00:26:43,800 Speaker 1: wary of the woke media. They jump on these things, 469 00:26:43,840 --> 00:26:46,080 Speaker 1: they pump them up for twenty years, and what do 470 00:26:46,119 --> 00:26:50,000 Speaker 1: we always say, You know, years later the story comes out, Oh, 471 00:26:50,040 --> 00:26:53,000 Speaker 1: this is going to cause a massive toxic waste problem. 472 00:26:53,760 --> 00:26:58,440 Speaker 1: It's impossible to recycle them and make a profit. So 473 00:27:00,000 --> 00:27:02,280 Speaker 1: we've hit a wall. Now, they didn't tell this, They 474 00:27:02,280 --> 00:27:05,800 Speaker 1: didn't tell anybody this twenty years ago. Yeah, it says 475 00:27:05,920 --> 00:27:08,879 Speaker 1: here we did find that solar installer is with the 476 00:27:08,920 --> 00:27:11,720 Speaker 1: best contact for us to learn about how many decommissioned 477 00:27:11,720 --> 00:27:14,879 Speaker 1: panels are in our region. Said that Drew Johnstone is 478 00:27:14,920 --> 00:27:19,000 Speaker 1: a analyst in Santa Monica for sustainability. He said some 479 00:27:19,040 --> 00:27:21,960 Speaker 1: contractors didn't end up just having to pile them up 480 00:27:21,960 --> 00:27:24,679 Speaker 1: in warehouses because there's no good solution for where to 481 00:27:24,680 --> 00:27:26,639 Speaker 1: bring them. So some of the old panels are just 482 00:27:26,640 --> 00:27:29,199 Speaker 1: sitting in warehouses until they figure out a way to 483 00:27:29,280 --> 00:27:31,840 Speaker 1: dispose them recycle moment. But this is all sold as 484 00:27:31,880 --> 00:27:33,720 Speaker 1: part if we put them in the landfill, that's what 485 00:27:33,840 --> 00:27:36,240 Speaker 1: we mentioned, they could leach into the water supply. They're 486 00:27:36,280 --> 00:27:39,479 Speaker 1: all this is all sold as part of renewable energy, 487 00:27:39,720 --> 00:27:42,520 Speaker 1: a way to be sustainable. Right. They have these cute buzzwords, 488 00:27:42,640 --> 00:27:45,399 Speaker 1: the kind of words that you're not supposed to criticize, 489 00:27:45,400 --> 00:27:48,639 Speaker 1: you're not supposed to push back against. Well, this is 490 00:27:48,760 --> 00:27:52,800 Speaker 1: not renewable, this is not sustainable. You are going to 491 00:27:53,000 --> 00:27:55,639 Speaker 1: end up and this problem is going to get far worse, 492 00:27:55,720 --> 00:27:58,440 Speaker 1: right because we're only getting the beginning of the expired 493 00:27:58,480 --> 00:28:01,800 Speaker 1: solar panels right right, We're only you know, started twenty 494 00:28:01,840 --> 00:28:03,840 Speaker 1: years ago and only now our son of some of 495 00:28:03,840 --> 00:28:08,120 Speaker 1: them petering out, so you roll up another twenty years. Oh, 496 00:28:08,160 --> 00:28:11,160 Speaker 1: it's going to be because it's huge amounts, huge amounts, right, 497 00:28:11,200 --> 00:28:13,879 Speaker 1: and then you know, everybody who promoted the crap out 498 00:28:13,920 --> 00:28:16,920 Speaker 1: of this stuff, they'll all be dead. So it's it's 499 00:28:16,960 --> 00:28:21,040 Speaker 1: not gonna matter that all their all their dreamlike fevers. 500 00:28:21,520 --> 00:28:26,640 Speaker 1: Jerry Brown will still be around, Yeah, I bet you. Yeah. 501 00:28:26,680 --> 00:28:30,000 Speaker 1: But other than he should run for president. Not the 502 00:28:30,040 --> 00:28:32,239 Speaker 1: same age as Biden. All right, we got more coming up. 503 00:28:32,280 --> 00:28:35,640 Speaker 1: He isn't Yeah, Johnny can't catfight. By coming up after 504 00:28:35,720 --> 00:28:38,360 Speaker 1: three o'clock, we have the opportunity to speak to the 505 00:28:38,440 --> 00:28:40,480 Speaker 1: father of one of those who was shot by the 506 00:28:40,520 --> 00:28:44,320 Speaker 1: seven to eleven robber just happened out in Riverside. The 507 00:28:44,400 --> 00:28:47,600 Speaker 1: victim's name is Jason Harold. His father will talk to 508 00:28:47,680 --> 00:28:49,960 Speaker 1: us at three oh five. We'll see how Jason's doing. 509 00:28:50,000 --> 00:28:52,920 Speaker 1: And of course you know by now, seven eleven's offered 510 00:28:52,920 --> 00:28:56,480 Speaker 1: one hundred thousand dollars reward money for information leading to 511 00:28:56,520 --> 00:28:59,640 Speaker 1: the arrest of the suspect who pulled off a number 512 00:28:59,640 --> 00:29:03,080 Speaker 1: of seven eleven heist. But that wouldn't be his noteworthy 513 00:29:03,280 --> 00:29:05,920 Speaker 1: But he was really shooting people. He killed two wounded, 514 00:29:05,920 --> 00:29:08,160 Speaker 1: a couple of other people, cluding a man they got 515 00:29:08,160 --> 00:29:10,080 Speaker 1: shot to the mouth while just having a donut in 516 00:29:10,120 --> 00:29:13,360 Speaker 1: the parking lot in his car. But and of course 517 00:29:13,400 --> 00:29:16,440 Speaker 1: there was somebody was killed in Breya. We'll talk about 518 00:29:16,440 --> 00:29:19,880 Speaker 1: all this with the father of one of the shooting 519 00:29:19,960 --> 00:29:23,040 Speaker 1: victims at a seven to eleven in a riverside at 520 00:29:23,200 --> 00:29:29,600 Speaker 1: three oh five. Well, well, well, the news just came 521 00:29:29,640 --> 00:29:33,240 Speaker 1: out that Barbara Ferrere wants to go back to the 522 00:29:33,280 --> 00:29:39,040 Speaker 1: indoor mask mandate in two weeks. But probably the only 523 00:29:39,080 --> 00:29:41,600 Speaker 1: place left in the country that's even still talking about this. 524 00:29:42,960 --> 00:29:46,360 Speaker 1: They did install an indoor mask mandate in a county 525 00:29:46,720 --> 00:29:48,960 Speaker 1: up in the Bay Area, but they pulled it within days, 526 00:29:49,080 --> 00:29:51,960 Speaker 1: realizing it was stupid. This is like a month ago. 527 00:29:53,160 --> 00:29:56,120 Speaker 1: But what they're doing on I heard a UCLA doctor. 528 00:29:56,720 --> 00:30:01,440 Speaker 1: He answered this absolutely correctly. He said, it's not a 529 00:30:01,600 --> 00:30:04,800 Speaker 1: hospitalization problem right now. They should not be doing this. 530 00:30:05,040 --> 00:30:08,920 Speaker 1: It's not it's not and it's hospitalization numbers are up, 531 00:30:08,920 --> 00:30:11,600 Speaker 1: but they're nowhere near where they were in twenty twenty 532 00:30:11,600 --> 00:30:13,960 Speaker 1: and even twenty one. The last time I looked, the 533 00:30:14,040 --> 00:30:18,960 Speaker 1: hospitalization numbers were one eighth of what they were at 534 00:30:18,960 --> 00:30:22,920 Speaker 1: their peak a couple of years ago, and sixty percent 535 00:30:23,040 --> 00:30:26,680 Speaker 1: of the people in the hospital with COVID were admitted 536 00:30:26,720 --> 00:30:30,200 Speaker 1: to the hospital for something else, and later they discovered 537 00:30:30,360 --> 00:30:33,760 Speaker 1: that the patients had COVID two. But they're not basing 538 00:30:33,760 --> 00:30:37,800 Speaker 1: this on the hospitalizations. That's the annoying party. They changed 539 00:30:37,840 --> 00:30:40,640 Speaker 1: the rules again. That's what they did from day one. 540 00:30:40,920 --> 00:30:46,120 Speaker 1: They constantly changed the metrics in order to justify they're 541 00:30:46,160 --> 00:30:50,120 Speaker 1: calling it a COVID nineteen community level reading. And we 542 00:30:50,280 --> 00:30:54,360 Speaker 1: just moved into the high category. I think this comes 543 00:30:54,400 --> 00:30:56,640 Speaker 1: from the federal government and this is what they're using. 544 00:30:57,400 --> 00:30:59,520 Speaker 1: And if we stay in the high category and in 545 00:30:59,560 --> 00:31:03,280 Speaker 1: two weeks we're going back to the stupid indoor mask mandate. No, 546 00:31:03,640 --> 00:31:06,480 Speaker 1: you just you just don't do it. You just don't 547 00:31:06,480 --> 00:31:10,600 Speaker 1: do it. It's it's not that complicated. You just don't 548 00:31:10,600 --> 00:31:12,840 Speaker 1: do it. If everybody just doesn't do it, I don't 549 00:31:12,880 --> 00:31:15,520 Speaker 1: know anybody who's who's worried about the question will be 550 00:31:15,560 --> 00:31:17,640 Speaker 1: will stores do it? Will stores can't? Will they put 551 00:31:17,640 --> 00:31:19,480 Speaker 1: somebody the door again, tell you you can't come in 552 00:31:19,800 --> 00:31:21,840 Speaker 1: to put a mask on? Will they bother? If they 553 00:31:21,840 --> 00:31:23,480 Speaker 1: don't bother, we don't bother. I'm not going to go 554 00:31:23,520 --> 00:31:26,600 Speaker 1: into the store. Then Well it's probably what all honestly, 555 00:31:26,640 --> 00:31:28,360 Speaker 1: I'll start I can. I can do it another time. 556 00:31:28,400 --> 00:31:32,200 Speaker 1: I'll start ordering groceries on Instacart. I'll buy everything on Amazon. 557 00:31:32,240 --> 00:31:34,840 Speaker 1: I don't. I'll go out on July twenty eighth and 558 00:31:34,880 --> 00:31:36,840 Speaker 1: buy everything I need because this may take effect on 559 00:31:36,880 --> 00:31:41,000 Speaker 1: the twenty ninth, a month. You know, I can't speak. 560 00:31:41,040 --> 00:31:44,400 Speaker 1: I mean, I mean, our state, our county here is 561 00:31:44,440 --> 00:31:48,240 Speaker 1: just filled with insufferable wieners, and I you know, I 562 00:31:49,000 --> 00:31:51,720 Speaker 1: most people don't want to hear about this anymore. I 563 00:31:51,760 --> 00:31:54,600 Speaker 1: mean it really don't. I just read the other day 564 00:31:54,640 --> 00:31:56,400 Speaker 1: in New York City. Everybody's had it. They don't want 565 00:31:56,400 --> 00:31:59,600 Speaker 1: to hear about it because you get sick and then 566 00:31:59,600 --> 00:32:02,480 Speaker 1: after your days, you're not sick anymore. This is, this 567 00:32:02,600 --> 00:32:05,239 Speaker 1: is clearly these variants are not causing any kind of 568 00:32:05,240 --> 00:32:08,000 Speaker 1: death the way the other ones did so, whether it's 569 00:32:08,040 --> 00:32:11,280 Speaker 1: B A, one, two, ten, fifty or when did they 570 00:32:11,320 --> 00:32:14,400 Speaker 1: switch off from the Greek letters to these somebody made 571 00:32:14,400 --> 00:32:18,120 Speaker 1: a joke today that's like, it's like the Dewey decimal system. 572 00:32:18,440 --> 00:32:23,440 Speaker 1: What is what is with all the h decimals and 573 00:32:23,880 --> 00:32:27,040 Speaker 1: the number chain twenty one point two point one five. 574 00:32:27,200 --> 00:32:29,480 Speaker 1: I don't know where that came from. I gave up. 575 00:32:29,720 --> 00:32:31,800 Speaker 1: They were using the Greek alphabet right, the Greek, and 576 00:32:31,840 --> 00:32:33,880 Speaker 1: it was all to avoid the stigma that this came 577 00:32:33,920 --> 00:32:36,360 Speaker 1: from Muhan, China. And then there was a variant in 578 00:32:36,680 --> 00:32:39,000 Speaker 1: London and a variant in South Africa. But we can't 579 00:32:39,040 --> 00:32:42,080 Speaker 1: stigmatize those countries in those cities. So then they went 580 00:32:42,120 --> 00:32:47,520 Speaker 1: to they went to Greek letters, and now they're doing 581 00:32:47,600 --> 00:32:51,960 Speaker 1: something else. So I don't now. Yeah, now complicated numbering systems. Well, 582 00:32:52,040 --> 00:32:55,160 Speaker 1: here's how it's explained. Ridiculous. Being in the high community 583 00:32:55,280 --> 00:32:59,480 Speaker 1: level category means La County has observed at least ten 584 00:32:59,520 --> 00:33:04,960 Speaker 1: new week coronavirus positive hospitalizations for every one hundred thousand residents. 585 00:33:04,960 --> 00:33:08,200 Speaker 1: That's pretty low. The latest rate was ten point five 586 00:33:08,560 --> 00:33:12,440 Speaker 1: ten out of how many one hundred thousand residents. That's 587 00:33:12,560 --> 00:33:16,120 Speaker 1: one out of ten thousand. Yes, that's would be right 588 00:33:16,160 --> 00:33:19,400 Speaker 1: if you want to one out of ten thousand, one 589 00:33:19,440 --> 00:33:22,720 Speaker 1: out of ten thousand residents. Now they're calling it coronavirus 590 00:33:22,800 --> 00:33:26,920 Speaker 1: positive hospitalizations, which seems to go not against what you said, 591 00:33:26,920 --> 00:33:30,360 Speaker 1: but they allegedly they're being hospitalized because of COVID, not 592 00:33:30,760 --> 00:33:34,400 Speaker 1: that they were hospitalized for like a bad kidney. Mostly 593 00:33:34,440 --> 00:33:40,200 Speaker 1: it's the elderly, and you know often it's people who 594 00:33:40,240 --> 00:33:45,480 Speaker 1: were unvaccinated or unboosted. Number of hostitations is one thousand, 595 00:33:45,560 --> 00:33:49,200 Speaker 1: two hundred and two and they're calling those the coronavirus. 596 00:33:49,480 --> 00:33:54,600 Speaker 1: Oh again, coronavirus positive patients. Right, it doesn't explain whether 597 00:33:54,680 --> 00:33:57,240 Speaker 1: or not that's one stories and they're in there. I 598 00:33:57,240 --> 00:34:00,920 Speaker 1: know it's very story. At sixty percent is discovered after 599 00:34:00,960 --> 00:34:03,640 Speaker 1: the fact. I mean, they could have been asymptomatic. But 600 00:34:03,880 --> 00:34:06,480 Speaker 1: it is a damn percentage game more than double. But 601 00:34:07,720 --> 00:34:13,000 Speaker 1: this is well fifty two increase. This is clickbait, progressive propaganda. 602 00:34:13,280 --> 00:34:16,600 Speaker 1: That's what it is. You know that there's nothing There's 603 00:34:16,640 --> 00:34:20,880 Speaker 1: only two things that the media gets big clicks and 604 00:34:21,000 --> 00:34:23,480 Speaker 1: big eyeballs over in the last few years, and that's 605 00:34:23,560 --> 00:34:27,080 Speaker 1: Trump and COVID. And so anytime they can return to 606 00:34:27,160 --> 00:34:30,520 Speaker 1: either of those two topics in any tangential way, they 607 00:34:30,560 --> 00:34:33,839 Speaker 1: will because they can monitor the clicks in real time. 608 00:34:33,880 --> 00:34:35,160 Speaker 1: I think I told you years ago. I don't know 609 00:34:35,200 --> 00:34:37,440 Speaker 1: if it's still there. The Washington Post actually had a 610 00:34:37,480 --> 00:34:42,120 Speaker 1: scoreboard in real time in the newsroom showing rich reporters 611 00:34:42,160 --> 00:34:45,000 Speaker 1: stories we're getting the most hits. And if you just 612 00:34:45,040 --> 00:34:46,959 Speaker 1: wrote something, you can sit there and watch and see 613 00:34:46,960 --> 00:34:51,560 Speaker 1: how popular your story was. Well, popularity and journalism are 614 00:34:51,600 --> 00:34:56,120 Speaker 1: not always the same thing. If you're you're looking for popularity, 615 00:34:56,160 --> 00:34:59,280 Speaker 1: then yeah, the perfect story would be Trump getting COVID again. 616 00:35:01,600 --> 00:35:04,319 Speaker 1: I'm looking at the Uh, it's tough to actually track this. 617 00:35:04,360 --> 00:35:08,719 Speaker 1: I was trying to figure out SARS cove two variants. 618 00:35:08,760 --> 00:35:12,440 Speaker 1: You know who we are now? Uh, this is BA 619 00:35:12,719 --> 00:35:16,400 Speaker 1: dot five accounting for sixty five percent of the nation's 620 00:35:16,440 --> 00:35:21,120 Speaker 1: coronavirus cases over the week long period ending Saturday. So 621 00:35:21,200 --> 00:35:23,480 Speaker 1: I was just trying to look up when did this starcus? 622 00:35:23,480 --> 00:35:25,200 Speaker 1: You're right, you and I gave up a long time ago. 623 00:35:25,280 --> 00:35:28,080 Speaker 1: And then there's BA two and BA three. Yeah, there's 624 00:35:28,160 --> 00:35:32,920 Speaker 1: some BA two dot seven five or something that's supposed 625 00:35:32,960 --> 00:35:35,360 Speaker 1: to be brand new, just just bubbling under the surface, 626 00:35:35,840 --> 00:35:40,160 Speaker 1: just about to hit the charts. A new release? Is that? 627 00:35:40,400 --> 00:35:43,040 Speaker 1: Is that Wuhan lab? Are they releasing new products every month? 628 00:35:45,760 --> 00:35:49,120 Speaker 1: I'm want what, I don't know what you said? Is 629 00:35:49,120 --> 00:35:51,520 Speaker 1: that Wuhan lab where the first virus came from? Are 630 00:35:51,520 --> 00:35:54,880 Speaker 1: they releasing new products every month? Have they proven this? 631 00:35:54,719 --> 00:35:57,640 Speaker 1: Is this? Is this like a business. Well, they haven't 632 00:35:57,640 --> 00:36:01,440 Speaker 1: found the pangolin yet or the bat they still have 633 00:36:01,600 --> 00:36:05,640 Speaker 1: found an animal with this particular strain. What we're getting 634 00:36:05,640 --> 00:36:09,080 Speaker 1: here is mutations of mutations of mutations and then not 635 00:36:09,760 --> 00:36:12,120 Speaker 1: even close to being as lethal as some of those 636 00:36:12,160 --> 00:36:15,799 Speaker 1: Greek alphabet ones were. So I this is just you're right, 637 00:36:15,880 --> 00:36:19,400 Speaker 1: it's hype. But the problem is if you live and 638 00:36:19,520 --> 00:36:22,600 Speaker 1: you do stuff in La County, the stupid indoor mask mandate. 639 00:36:22,640 --> 00:36:27,400 Speaker 1: Oh good lord, I know, walk away, but walk away. Yeah, well, 640 00:36:27,440 --> 00:36:30,319 Speaker 1: you know you have the state of emergency from Newsom 641 00:36:30,320 --> 00:36:32,960 Speaker 1: and he was actually he was given a lecture about, 642 00:36:33,120 --> 00:36:36,000 Speaker 1: you know how other states don't have freedom like California does. 643 00:36:36,560 --> 00:36:40,839 Speaker 1: And I saw that almost vomited my breakfast. Yeah. Well, 644 00:36:40,880 --> 00:36:43,600 Speaker 1: he's talking about the gay rights and abortion that kind 645 00:36:43,600 --> 00:36:46,000 Speaker 1: of freedom. But you know, back in the day to 646 00:36:46,040 --> 00:36:50,040 Speaker 1: day world here, it's about hounding people to wear masks 647 00:36:50,040 --> 00:36:53,920 Speaker 1: when there's no serious threat. All right. Coming up next, 648 00:36:54,280 --> 00:36:56,120 Speaker 1: a man by the name of Steve Paul is coming 649 00:36:56,120 --> 00:36:59,880 Speaker 1: on the show. His son is Jason Harrold. He is 650 00:37:00,120 --> 00:37:02,440 Speaker 1: one of the victims of the seven eleven robberies. He 651 00:37:02,600 --> 00:37:06,360 Speaker 1: was shot at a seven to eleven in Riverside. Apparently 652 00:37:06,400 --> 00:37:09,120 Speaker 1: he is no longer in a coma, breathing on his own. 653 00:37:09,200 --> 00:37:12,440 Speaker 1: We'll find out more when we return. John and Ken 654 00:37:12,440 --> 00:37:16,239 Speaker 1: Show and Debrahmark has the News KFI AM six forty. 655 00:37:16,239 --> 00:37:18,120 Speaker 1: Hey Ken, did you know that gold is the only 656 00:37:18,120 --> 00:37:21,560 Speaker 1: currency that's held its value since the Dawn of money? Well? 657 00:37:21,560 --> 00:37:24,920 Speaker 1: I did thanks to our friends at Legacy Precious Medals, 658 00:37:24,960 --> 00:37:28,840 Speaker 1: the most trusted name in gold investing. 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