1 00:00:00,080 --> 00:00:03,400 Speaker 1: It's never been more important to diversify your financial portfolio. 2 00:00:03,640 --> 00:00:06,680 Speaker 1: Well that's right. The S ANDP is down twenty percent 3 00:00:06,720 --> 00:00:08,719 Speaker 1: from the last year, and this year looks even worse. 4 00:00:08,920 --> 00:00:12,080 Speaker 1: Gold and precious metals offer a hedge against inflation and 5 00:00:12,240 --> 00:00:16,200 Speaker 1: stock market volatility, and Legacy Precious Metals is the company 6 00:00:16,239 --> 00:00:19,080 Speaker 1: can and I trust, protect your retirement account by rolling 7 00:00:19,079 --> 00:00:22,400 Speaker 1: it into a goldback IRA, or have metal shipped directly 8 00:00:22,440 --> 00:00:25,360 Speaker 1: to your door. Call our friends at Legacy Precious Medals 9 00:00:25,360 --> 00:00:29,760 Speaker 1: today at eight sixty six six nine twenty one seventy three, 10 00:00:29,920 --> 00:00:33,080 Speaker 1: or a visit by Legacygold dot com. Oh you know 11 00:00:33,200 --> 00:00:36,520 Speaker 1: this is like my really, really lucky day. I can't 12 00:00:36,560 --> 00:00:39,080 Speaker 1: believe my good fortune. Do you ever look on your 13 00:00:39,080 --> 00:00:42,120 Speaker 1: spam folder? You know? Can I give you the list 14 00:00:42,159 --> 00:00:45,199 Speaker 1: of things I've won justin seven thirty this morning. A 15 00:00:45,320 --> 00:00:48,680 Speaker 1: Ninja Food, Xcel Pro grilled and griddle. I want a 16 00:00:48,760 --> 00:00:53,200 Speaker 1: dual power station, a Yetti cooler, another Dwalt power station. 17 00:00:53,240 --> 00:00:56,240 Speaker 1: I want a ten from Zempire, A Toomey leather backpack. 18 00:00:57,520 --> 00:01:00,320 Speaker 1: I know these aren't offers, you know a the the 19 00:01:00,360 --> 00:01:04,000 Speaker 1: cool deals. These are no. I want to Uni pizza oven. 20 00:01:04,040 --> 00:01:05,360 Speaker 1: Do you do you want me to share it with 21 00:01:05,400 --> 00:01:06,600 Speaker 1: you because I don't know. I don't know. I need 22 00:01:06,600 --> 00:01:09,320 Speaker 1: a pizza oven. I don't have a place to put it. 23 00:01:09,319 --> 00:01:12,640 Speaker 1: But that's a nice ysterical I never really looked at this, 24 00:01:12,680 --> 00:01:14,360 Speaker 1: but today I just kind of glanced for a second 25 00:01:14,400 --> 00:01:16,080 Speaker 1: to see all the crap in my spam folder. And 26 00:01:16,480 --> 00:01:19,080 Speaker 1: I just keep winning. I mean, I'm gonna roll. I 27 00:01:19,080 --> 00:01:21,160 Speaker 1: mean there's one dirty one in there where they want 28 00:01:21,200 --> 00:01:23,480 Speaker 1: to do you know you might be able to use that. 29 00:01:24,200 --> 00:01:27,679 Speaker 1: How do you claim the prizes by giving yourself? Forward 30 00:01:27,720 --> 00:01:28,840 Speaker 1: it to you if you want to try. I don't 31 00:01:28,840 --> 00:01:32,920 Speaker 1: want to click anything. But oh, a Craftsman generator just 32 00:01:32,959 --> 00:01:36,440 Speaker 1: came in. Well, all they want is your social Security number, probably, 33 00:01:36,720 --> 00:01:38,560 Speaker 1: I guess. I don't know how it works. I know 34 00:01:38,640 --> 00:01:42,760 Speaker 1: the credit card numbers. People with frail minds and brains 35 00:01:42,800 --> 00:01:47,440 Speaker 1: who actually pursue these things that they can't believe that. 36 00:01:47,760 --> 00:01:50,160 Speaker 1: It's like still when the phone rings, they pick it up. Well, 37 00:01:50,600 --> 00:01:53,920 Speaker 1: when you have when your mind is going, that's what happens. 38 00:01:53,960 --> 00:01:57,360 Speaker 1: I told you I know somebody who's got ripped off twice. 39 00:01:57,400 --> 00:02:01,000 Speaker 1: Now who is this person? I can't tell you on 40 00:02:01,040 --> 00:02:04,320 Speaker 1: the air, alright, So tell me that's a real person. 41 00:02:05,600 --> 00:02:08,840 Speaker 1: I hope. So I just possible you you aren't aware 42 00:02:08,880 --> 00:02:13,440 Speaker 1: that you're around somebody frail. It's not frail. I classified 43 00:02:13,480 --> 00:02:18,000 Speaker 1: as batty. Oh bat batty. Yeah, okay, And they've been 44 00:02:18,400 --> 00:02:21,640 Speaker 1: susceptible to these kinds of frauds. It's pretty easy to 45 00:02:21,720 --> 00:02:26,040 Speaker 1: talk them into almost anything. Oh wow, yeah, have you 46 00:02:26,080 --> 00:02:29,160 Speaker 1: tried to take advantage of that? No, but if I 47 00:02:29,240 --> 00:02:32,600 Speaker 1: wanted to come up with a way to do a shakedown, 48 00:02:32,639 --> 00:02:37,000 Speaker 1: I probably would be successful. Oh that's pretty cool. So 49 00:02:37,160 --> 00:02:41,200 Speaker 1: it speaks to my character that I haven't tried this. Yeah, 50 00:02:41,320 --> 00:02:44,640 Speaker 1: I just I realized they send billions and billions of 51 00:02:44,639 --> 00:02:46,760 Speaker 1: these out. They just need a few fish. So yeah, 52 00:02:46,880 --> 00:02:51,040 Speaker 1: that's right. I mean, it costs nothing to send out emails. 53 00:02:51,919 --> 00:02:55,520 Speaker 1: So just the big fishing line in the world of 54 00:02:55,919 --> 00:02:57,960 Speaker 1: even if it's one in a million, that people and 55 00:02:57,960 --> 00:02:59,640 Speaker 1: you're just looking to hook one or two, you know, 56 00:02:59,720 --> 00:03:01,959 Speaker 1: And they're a lot of people with who are batty 57 00:03:02,000 --> 00:03:05,000 Speaker 1: in their minds have gone feeble and they've watched I 58 00:03:05,040 --> 00:03:07,919 Speaker 1: think of what you would describe as your executive decision 59 00:03:07,960 --> 00:03:11,720 Speaker 1: making power. Oh that's a good way to put it. Yeah, 60 00:03:11,760 --> 00:03:16,040 Speaker 1: a more conservativeship arguments. Oh yes, yeah, we're big on 61 00:03:16,080 --> 00:03:18,680 Speaker 1: conservativeship here at the john again. Shall we need that anywhere? 62 00:03:20,680 --> 00:03:25,200 Speaker 1: But speaking of fraud, this I didn't even think of before. 63 00:03:25,880 --> 00:03:29,720 Speaker 1: We know, in California when the pandemic hit and they 64 00:03:29,760 --> 00:03:32,880 Speaker 1: opened up the floodgates for all the pandemic unemployment claims, 65 00:03:32,880 --> 00:03:35,080 Speaker 1: remember that they expanded it to include people who were 66 00:03:35,120 --> 00:03:39,040 Speaker 1: self employ freelancers and all that stuff. And basically the 67 00:03:39,160 --> 00:03:40,920 Speaker 1: arm was waived. Just let them all in. We'll figure 68 00:03:40,920 --> 00:03:43,200 Speaker 1: it out later. And of course we probably got ripped 69 00:03:43,240 --> 00:03:45,200 Speaker 1: off to the tune of thirty billion dollars was the 70 00:03:45,280 --> 00:03:48,760 Speaker 1: last estimate in Illinois. They've charged a bunch of people 71 00:03:49,840 --> 00:03:52,400 Speaker 1: because in the crowd that did this in California, as 72 00:03:52,400 --> 00:03:55,160 Speaker 1: in other states, they were prisoners. We know that happened 73 00:03:55,160 --> 00:03:59,120 Speaker 1: in California, right people were filing claims using prisoners names 74 00:03:59,120 --> 00:04:01,839 Speaker 1: and self security members or prisoners who are using people 75 00:04:01,880 --> 00:04:05,560 Speaker 1: on the outside to file claims for other inmates and 76 00:04:05,920 --> 00:04:08,920 Speaker 1: share the money with them. In Illinois, apparently a bunch 77 00:04:08,920 --> 00:04:13,880 Speaker 1: of people thought of this idea. They got paycheck protection checks. 78 00:04:14,240 --> 00:04:16,840 Speaker 1: Of course they didn't have any actual businesses. These are inmates, 79 00:04:17,320 --> 00:04:19,599 Speaker 1: and then they used the money to bail themselves out. 80 00:04:21,800 --> 00:04:27,000 Speaker 1: That's a good idea and then when you're on the 81 00:04:27,000 --> 00:04:35,400 Speaker 1: outside run. Each fraudulently obtained loan was for between nineteen 82 00:04:35,480 --> 00:04:38,440 Speaker 1: thousand and twenty thousand dollars, and the fraud cost taxpayers 83 00:04:38,480 --> 00:04:41,440 Speaker 1: in that state half a million dollars. They were inmates 84 00:04:41,480 --> 00:04:44,560 Speaker 1: at a county jail in Joliet, which is a suburb 85 00:04:44,560 --> 00:04:48,520 Speaker 1: of Chicago, so they probably shared the information with each 86 00:04:48,560 --> 00:04:50,000 Speaker 1: other that maybe this is a good way to get 87 00:04:50,040 --> 00:04:52,560 Speaker 1: your bail money. Of course, in California don't really have 88 00:04:52,640 --> 00:04:56,400 Speaker 1: bail anymore, do we. No. No, all you need is 89 00:04:56,440 --> 00:05:00,360 Speaker 1: to pick up maybe a twenty dollars bills somewhere. You'll 90 00:05:00,400 --> 00:05:05,160 Speaker 1: cover your bail. Yeah, exactly. Government government workers are just 91 00:05:05,240 --> 00:05:08,240 Speaker 1: the worst, they really are. This is that this is 92 00:05:08,279 --> 00:05:10,520 Speaker 1: the worst among us people who work in government, who 93 00:05:10,560 --> 00:05:15,480 Speaker 1: design these systems. I've just never seen so many unmotivated 94 00:05:15,520 --> 00:05:23,280 Speaker 1: failures use. It's not hard to stop prisoners from getting 95 00:05:23,360 --> 00:05:28,240 Speaker 1: a fraudulent COVID money, it's not. Well. The problem in 96 00:05:28,279 --> 00:05:30,360 Speaker 1: California was they did not want to share the social 97 00:05:30,440 --> 00:05:33,919 Speaker 1: Security numbers to check. They didn't They didn't bother to 98 00:05:33,920 --> 00:05:36,159 Speaker 1: look to see if the person claiming was actually but 99 00:05:36,320 --> 00:05:38,400 Speaker 1: in prison. That wouldn't have been hard to do. That 100 00:05:38,440 --> 00:05:41,360 Speaker 1: would have been very easy to do a social security 101 00:05:41,440 --> 00:05:44,919 Speaker 1: number check on the prisoners, right, because whoever submitted to claim, 102 00:05:44,960 --> 00:05:46,760 Speaker 1: you take the social security number, compare it to a 103 00:05:46,800 --> 00:05:49,040 Speaker 1: list of inmates social security numbers and say, oh, you 104 00:05:49,080 --> 00:05:51,240 Speaker 1: can't give it to that person. They don't. You don't 105 00:05:51,240 --> 00:05:53,120 Speaker 1: have to do it by hand. You could do it 106 00:05:53,160 --> 00:05:55,920 Speaker 1: in a fraction of a second with a computer program. Right. 107 00:05:56,360 --> 00:06:00,440 Speaker 1: So that's how little little work it took. And they 108 00:06:00,440 --> 00:06:03,800 Speaker 1: didn't do it because they don't care because it's yet. 109 00:06:03,839 --> 00:06:06,480 Speaker 1: It's not you know, it's it's made up money anyway. 110 00:06:06,520 --> 00:06:10,240 Speaker 1: It's all printed money. I mean, all all this bailout 111 00:06:10,279 --> 00:06:13,360 Speaker 1: money during COVID was was invented by the government. It's 112 00:06:13,400 --> 00:06:18,400 Speaker 1: not even real. Yeah, I know, so I can't. You 113 00:06:18,440 --> 00:06:20,359 Speaker 1: can't even call a tax money anymore. I don't know 114 00:06:20,360 --> 00:06:27,360 Speaker 1: what it is. It's people are stealing imaginary money. They 115 00:06:27,400 --> 00:06:29,560 Speaker 1: also came up with the nest that yesterday that the 116 00:06:30,240 --> 00:06:33,320 Speaker 1: United States Unemployment Insurance program was ripped off for about 117 00:06:33,400 --> 00:06:37,679 Speaker 1: forty six billion dollars. A year ago, they estimated sixteen 118 00:06:37,720 --> 00:06:39,800 Speaker 1: billion in fraud had been identified, but the number a 119 00:06:39,880 --> 00:06:43,800 Speaker 1: year later has jumped by thirty billion. But I'm thinking 120 00:06:43,839 --> 00:06:46,200 Speaker 1: like the California unemployment fraud is supposed to be thirty 121 00:06:46,200 --> 00:06:48,839 Speaker 1: billion alone. Yeah, I don't know if it's counted in 122 00:06:48,880 --> 00:06:50,640 Speaker 1: that number. I can't really tell from the way this 123 00:06:50,720 --> 00:06:53,599 Speaker 1: story is written. If so, we're thirty billion of the 124 00:06:53,600 --> 00:06:56,160 Speaker 1: forty five billion nation, why, I don't know. Maybe it's 125 00:06:56,160 --> 00:06:58,200 Speaker 1: thirty on top of the forty five billion. I think 126 00:06:58,200 --> 00:07:00,320 Speaker 1: it might be. I think that's kind of the States adverse. 127 00:07:00,920 --> 00:07:02,760 Speaker 1: What jumped at it me on that story is that 128 00:07:02,760 --> 00:07:06,920 Speaker 1: there were two hundred and five thousand social security numbers 129 00:07:07,000 --> 00:07:11,200 Speaker 1: of dead people used to file claims. Yeah, so nobody 130 00:07:11,240 --> 00:07:14,600 Speaker 1: compared the numbers to a list of the dead. No, somebody, 131 00:07:14,960 --> 00:07:16,880 Speaker 1: somebody got a hold of two hundred and five thousand 132 00:07:18,280 --> 00:07:21,320 Speaker 1: dead people social security numbers. I don't know where that 133 00:07:22,160 --> 00:07:23,960 Speaker 1: where you buy that is some issue? Right, do you 134 00:07:24,040 --> 00:07:27,120 Speaker 1: hack into some sort of county database of dead people 135 00:07:27,240 --> 00:07:29,760 Speaker 1: or I don't know, it's yeah, you know you often 136 00:07:29,800 --> 00:07:31,679 Speaker 1: don't you over We wonder when you see these stories 137 00:07:31,720 --> 00:07:34,200 Speaker 1: at hackers and sometimes you might get an email there's 138 00:07:34,200 --> 00:07:36,400 Speaker 1: been some sort of data breach. I mean, these are 139 00:07:36,400 --> 00:07:38,840 Speaker 1: probably some of the things they use them for. Oh 140 00:07:38,960 --> 00:07:41,800 Speaker 1: necessarily not just identity that, but maybe to pull off 141 00:07:41,840 --> 00:07:45,000 Speaker 1: scams like this by security numbers to submit for claims. Yeah, 142 00:07:45,040 --> 00:07:46,559 Speaker 1: that's what they're doing with a lot of the money. 143 00:07:46,880 --> 00:07:50,920 Speaker 1: It's really easy to do and nobody stops you. All right, Well, 144 00:07:50,920 --> 00:07:52,760 Speaker 1: we've got a big show today. We do have a 145 00:07:52,760 --> 00:07:55,560 Speaker 1: couple of rounds of moistline. We have a hack for 146 00:07:55,600 --> 00:07:57,560 Speaker 1: the dumpster. We're gonna have an update next hour on 147 00:07:57,600 --> 00:08:00,320 Speaker 1: that big story this week out of Sherman Oaks where 148 00:08:00,400 --> 00:08:03,480 Speaker 1: things are so bad and a stretch along Ventura Boulevard 149 00:08:03,520 --> 00:08:06,920 Speaker 1: with the homeless that people are getting feces hurled at 150 00:08:06,960 --> 00:08:09,680 Speaker 1: them and the man who is the subject of that, 151 00:08:09,760 --> 00:08:12,000 Speaker 1: a business owner. Will join us after three o'clock because 152 00:08:12,080 --> 00:08:15,920 Speaker 1: there has been an update to the story. Johnny Ken 153 00:08:15,960 --> 00:08:18,200 Speaker 1: Shelley kf I AM six forty live everywhere in the 154 00:08:18,360 --> 00:08:20,800 Speaker 1: Heart Radio app a well a story we've continued to watch, 155 00:08:20,880 --> 00:08:22,800 Speaker 1: of course, as the search warrants that were served on 156 00:08:22,840 --> 00:08:26,000 Speaker 1: the home of the Elli County Supervisor, Sheila Cules, an 157 00:08:26,040 --> 00:08:30,120 Speaker 1: investigation that was originally conducted by the Eli County Sheriff's office, 158 00:08:30,360 --> 00:08:32,720 Speaker 1: even though Sheriff Van A. Waver recused himself from it. 159 00:08:32,800 --> 00:08:36,880 Speaker 1: He has an investigated branch that was doing the investigation 160 00:08:37,480 --> 00:08:41,520 Speaker 1: and This was about the Cuelan, one of her nonprofit friends, 161 00:08:41,760 --> 00:08:44,240 Speaker 1: who got an eight hundred thousand dollars plus deal with 162 00:08:44,320 --> 00:08:48,200 Speaker 1: Metro to operate a very suspicious sex harassment hotline for 163 00:08:48,240 --> 00:08:50,920 Speaker 1: the buses and trains. It got like no calls, whole 164 00:08:50,920 --> 00:08:55,320 Speaker 1: thing smelled bad. Attrician Higgins and an insider right, an 165 00:08:55,320 --> 00:08:57,680 Speaker 1: insider at Metro is the ones that tipped off the 166 00:08:57,720 --> 00:09:01,400 Speaker 1: Sheriff's department to look into this, and so they concluded 167 00:09:01,440 --> 00:09:04,000 Speaker 1: this to the point where they got a search warrant 168 00:09:04,000 --> 00:09:07,079 Speaker 1: to search her home. Now, two aspects of this are 169 00:09:07,120 --> 00:09:10,640 Speaker 1: going on beyond the actual investigation into a foul play 170 00:09:10,679 --> 00:09:14,320 Speaker 1: between Quel and her nonprofit friend and Metro. And that's 171 00:09:14,360 --> 00:09:17,800 Speaker 1: the fact that Quell was tipped off to the search warrant. 172 00:09:18,040 --> 00:09:21,040 Speaker 1: Basically told reporters that morning after she walked outside at 173 00:09:21,040 --> 00:09:25,040 Speaker 1: seven am barefoot or whatever, that she knew that they 174 00:09:25,080 --> 00:09:29,240 Speaker 1: were coming. And Steve Gregory of course, had the breaking 175 00:09:29,280 --> 00:09:31,120 Speaker 1: news last night that he got a hold of copies 176 00:09:31,160 --> 00:09:34,840 Speaker 1: of the texts where she Laquelle was told by the 177 00:09:35,240 --> 00:09:38,240 Speaker 1: La County Council's office and the Inspector General. He said 178 00:09:38,280 --> 00:09:41,120 Speaker 1: they were coming to her home copies of the text 179 00:09:41,160 --> 00:09:45,720 Speaker 1: they're actually like snapshots of an email. All right, so 180 00:09:45,800 --> 00:09:48,520 Speaker 1: that's going to be another investigation. But something else that 181 00:09:48,640 --> 00:09:52,360 Speaker 1: came up in the story, particularly in the dreaded El 182 00:09:52,400 --> 00:09:56,160 Speaker 1: Segundo Times coverage, was, you know, they always want to 183 00:09:56,160 --> 00:09:59,240 Speaker 1: put some stink to a story, so they came up 184 00:09:59,280 --> 00:10:03,559 Speaker 1: with this goal that the lead investigator, or a key 185 00:10:03,600 --> 00:10:07,080 Speaker 1: investigator in the Sheriff's office it's the public corruption unit, 186 00:10:07,440 --> 00:10:11,040 Speaker 1: is a man by the name of Mark Lillenfeld. And 187 00:10:11,120 --> 00:10:13,640 Speaker 1: it turns out that he has had a decade long 188 00:10:13,840 --> 00:10:17,320 Speaker 1: relationship with the judge who signed the search warrant. So 189 00:10:17,520 --> 00:10:19,600 Speaker 1: right away, and I think some of their columnists jumped 190 00:10:19,640 --> 00:10:21,720 Speaker 1: on this too. Oh yeah, they just got their buddy 191 00:10:21,920 --> 00:10:24,160 Speaker 1: to sign off on the search they made the whole 192 00:10:24,160 --> 00:10:27,160 Speaker 1: thing is foul and stinks. Yeah, they made it up. 193 00:10:27,200 --> 00:10:30,800 Speaker 1: I mean the writer a lean check Midian and then 194 00:10:30,960 --> 00:10:35,920 Speaker 1: Robert of Carrion, Steve Lopez, they made stuff up. There's 195 00:10:35,920 --> 00:10:38,440 Speaker 1: a big lie coming out of the La Times claiming 196 00:10:38,480 --> 00:10:43,400 Speaker 1: that there was basically a favor done between friends between 197 00:10:43,440 --> 00:10:48,800 Speaker 1: the judge in the case and the lead the detective, 198 00:10:48,880 --> 00:10:53,560 Speaker 1: lead detective Max Fernandez, now the person that actually went 199 00:10:53,679 --> 00:10:57,160 Speaker 1: to get the search warrant signed off on by a 200 00:10:57,320 --> 00:10:59,960 Speaker 1: judge is a man by the name of Max Fernandez. 201 00:11:00,160 --> 00:11:03,400 Speaker 1: He's a sheriff's sergeant. So he had a ruling by 202 00:11:03,520 --> 00:11:07,160 Speaker 1: another whole judge who's involved in this thing too, that 203 00:11:07,320 --> 00:11:10,200 Speaker 1: it actually turned out to just be a coincidence that 204 00:11:10,320 --> 00:11:13,520 Speaker 1: he ended up with this judge who has known the 205 00:11:13,600 --> 00:11:16,760 Speaker 1: investigator for a long time, a coincidence. Braig Richmond was 206 00:11:16,840 --> 00:11:22,560 Speaker 1: his name, right, says that Fernandez ended up presenting the 207 00:11:22,600 --> 00:11:25,720 Speaker 1: probable cause for the warrants to this judge, Craig Richmond, 208 00:11:26,120 --> 00:11:29,240 Speaker 1: but actually he went there to get it signed off 209 00:11:29,240 --> 00:11:32,319 Speaker 1: by another judge named Elinor Hunter who was on vacation. 210 00:11:32,800 --> 00:11:35,120 Speaker 1: So he goes to the bailiffs office and they said, 211 00:11:35,120 --> 00:11:37,040 Speaker 1: all right, let's see what's opening court right now. It's 212 00:11:37,080 --> 00:11:40,400 Speaker 1: Judge Richmond. Go down there and present your documents. That's it. 213 00:11:40,480 --> 00:11:43,600 Speaker 1: So there there's a coincidence. There was no conspiracy between 214 00:11:43,800 --> 00:11:47,679 Speaker 1: Max Fernandez and Judge Craig Richmond. That was entirely made 215 00:11:47,760 --> 00:11:50,679 Speaker 1: up by the staff of the Los Angeles Times. They 216 00:11:51,360 --> 00:11:54,839 Speaker 1: turned it into a big story, and the story is 217 00:11:54,880 --> 00:11:58,880 Speaker 1: a zero. It's false. It's fake news, right, And this 218 00:11:59,000 --> 00:12:00,920 Speaker 1: finding was by us. You're a court judge by the 219 00:12:01,000 --> 00:12:04,640 Speaker 1: name of William Ryan, who was actually made a ruling 220 00:12:04,640 --> 00:12:07,040 Speaker 1: that they have to stop searching some of the computers 221 00:12:07,080 --> 00:12:10,000 Speaker 1: involved in the case. But he also, I guess was 222 00:12:10,040 --> 00:12:13,920 Speaker 1: presented this aspect of the search and did his investigation 223 00:12:14,040 --> 00:12:17,200 Speaker 1: or his staff did, and they turned out as he wrote, 224 00:12:17,320 --> 00:12:20,960 Speaker 1: Detective Fernandez did not select Judge Richmond, so at the time, 225 00:12:20,960 --> 00:12:24,320 Speaker 1: Detective Fernandez didn't even know Judge Richmond, never even heard 226 00:12:24,320 --> 00:12:27,560 Speaker 1: of him before. Nothing stopped LITLA Field did not direct 227 00:12:27,679 --> 00:12:30,400 Speaker 1: him to Judge Richmond. Nothing stops the LA Times from 228 00:12:30,440 --> 00:12:33,880 Speaker 1: smearing sheriff. Oh yeah, they thought they had a good 229 00:12:33,920 --> 00:12:35,600 Speaker 1: angle there. No, but I mean, I mean, I mean, 230 00:12:35,640 --> 00:12:38,000 Speaker 1: this is this is an outright lie. There should be 231 00:12:38,040 --> 00:12:41,840 Speaker 1: some kind of like penalty here for these journalists who 232 00:12:41,880 --> 00:12:44,240 Speaker 1: create these fake stories. You know, nothing bad ever happens 233 00:12:44,240 --> 00:12:46,600 Speaker 1: to them. They don't even get disciplined at the paper. 234 00:12:47,480 --> 00:12:49,480 Speaker 1: I mean something when you put out this kind of story, 235 00:12:49,559 --> 00:12:55,640 Speaker 1: smearing people with false information. Yeah, that means the way 236 00:12:55,640 --> 00:12:58,280 Speaker 1: I read it, they just presented it as a possible 237 00:12:58,640 --> 00:13:02,560 Speaker 1: h Sure they worried carefully, but it was a smear. 238 00:13:03,000 --> 00:13:05,600 Speaker 1: They knew what most people would would would read this 239 00:13:05,640 --> 00:13:08,400 Speaker 1: would say, Oh, I see Fernandez knows the judge and 240 00:13:08,480 --> 00:13:12,840 Speaker 1: their buddies, and so Richmond signed off on this bogus warrant. 241 00:13:14,600 --> 00:13:19,480 Speaker 1: They know what people are going to assume. It's pretty clear, 242 00:13:19,679 --> 00:13:22,640 Speaker 1: but they worded carefully so they can't be taken into 243 00:13:22,679 --> 00:13:25,800 Speaker 1: court over it. But it's still fake news. It's just 244 00:13:25,840 --> 00:13:29,480 Speaker 1: a trick they used to get fake news mainstreamed, right, 245 00:13:29,840 --> 00:13:35,640 Speaker 1: and that it's just such a dishonest organization. Apparently they 246 00:13:36,120 --> 00:13:40,199 Speaker 1: also reviewed two hundred and fifty text messages and two 247 00:13:40,320 --> 00:13:44,040 Speaker 1: voicemails on Schillacull's phones related to her being tipped off, 248 00:13:44,040 --> 00:13:49,679 Speaker 1: So that's probably whatever got passed along to Steve. Yeah, 249 00:13:49,760 --> 00:13:51,920 Speaker 1: because that's he met some guy in a dark alley 250 00:13:51,960 --> 00:13:54,199 Speaker 1: who gave him well, it was in a parking lot, 251 00:13:55,720 --> 00:13:58,120 Speaker 1: right out of a detective show's rights. We're in a 252 00:13:58,160 --> 00:14:02,720 Speaker 1: trench coat, no pants. But he had a folder filled messages. 253 00:14:02,760 --> 00:14:05,199 Speaker 1: But were they classified or unclassified by Trump? Do we know? 254 00:14:07,280 --> 00:14:10,000 Speaker 1: I don't know, but they are real messages because he 255 00:14:10,040 --> 00:14:14,600 Speaker 1: sent me the photographs of the of I think there 256 00:14:14,640 --> 00:14:17,400 Speaker 1: were text messages that were copied onto an email, and 257 00:14:17,480 --> 00:14:20,040 Speaker 1: then he had a photocopy of the email that he photographed. 258 00:14:20,560 --> 00:14:22,960 Speaker 1: I don't know what the definition of a device really is. 259 00:14:23,080 --> 00:14:27,400 Speaker 1: But according to the paperwork here, they took sixty seven 260 00:14:27,480 --> 00:14:30,160 Speaker 1: devices from Shila cul and Patty Higgins. Do you have 261 00:14:30,320 --> 00:14:33,240 Speaker 1: sixty seven devices that you could think of that anybody 262 00:14:33,280 --> 00:14:36,080 Speaker 1: would seize during an investigation? All right, so it's about 263 00:14:36,120 --> 00:14:39,040 Speaker 1: thirty something each. I mean a device I usually think 264 00:14:39,040 --> 00:14:42,840 Speaker 1: of as a phone, or a tablet or a computer. Computer. Yeah, 265 00:14:42,960 --> 00:14:46,480 Speaker 1: what I have thirty something of these I have. I 266 00:14:46,600 --> 00:14:48,520 Speaker 1: let's say I have a phone, a tablet. Yeah, you'll 267 00:14:48,520 --> 00:14:51,840 Speaker 1: probably have five, laptop at a computer. Okay, and my 268 00:14:52,000 --> 00:14:54,560 Speaker 1: wife has the same, So we have eight between the 269 00:14:54,600 --> 00:14:57,480 Speaker 1: two of us. Yeah, not thirty. How do you get 270 00:14:57,480 --> 00:15:00,400 Speaker 1: to sixty seven total? I realized because Quel's a proviser, 271 00:15:00,560 --> 00:15:04,600 Speaker 1: she might have two phones. Sometimes people have sometimes people 272 00:15:04,640 --> 00:15:06,800 Speaker 1: have three phones. I've seen when you have a corruption 273 00:15:06,840 --> 00:15:10,560 Speaker 1: empire going on. It's right, you need a burner phone. 274 00:15:12,040 --> 00:15:15,720 Speaker 1: Everything's untraceable. It's a box of burner phones. Just my 275 00:15:15,840 --> 00:15:18,480 Speaker 1: eyes bugged out. All listen. Maybe the definition of a 276 00:15:18,520 --> 00:15:21,320 Speaker 1: device is broader than I am even thinking. Maybe even 277 00:15:21,320 --> 00:15:23,800 Speaker 1: includes the notepad. I have no idea. Yeah, that that 278 00:15:23,880 --> 00:15:27,520 Speaker 1: one that that blew by me. That detail. Yeah, he says, 279 00:15:27,600 --> 00:15:30,480 Speaker 1: fifty of which have been so far holy or partially imaged. 280 00:15:30,880 --> 00:15:34,400 Speaker 1: I guess that means they've gone through it. Or yeah, oh, look, 281 00:15:34,400 --> 00:15:36,800 Speaker 1: they're gonna point a special master. That's the term we're 282 00:15:36,840 --> 00:15:39,960 Speaker 1: hearing from the Trump story. A special master. That's what 283 00:15:40,080 --> 00:15:42,000 Speaker 1: I want through the material. I want to be declared 284 00:15:42,000 --> 00:15:44,520 Speaker 1: a special master. That sounds really cool. It would be 285 00:15:44,560 --> 00:15:47,520 Speaker 1: a special like being a fellow. Those are the two 286 00:15:47,560 --> 00:15:51,280 Speaker 1: titles I longed for. Johnny Ketch KFI A of the 287 00:15:51,320 --> 00:15:53,760 Speaker 1: six forty. We're alive everywhere in the iHeart Radio app Well, 288 00:15:54,320 --> 00:15:57,560 Speaker 1: try to imagine we're in Bidenville, but apparently we can't 289 00:15:57,600 --> 00:16:04,000 Speaker 1: find the desk. We've we've lohed the theme. We can't Yeah, well, 290 00:16:04,120 --> 00:16:06,280 Speaker 1: Eric is not in today and his wedding take placement 291 00:16:06,360 --> 00:16:08,680 Speaker 1: you can't find. Can't find Bidenville. Does Eric take the 292 00:16:08,720 --> 00:16:11,040 Speaker 1: material with him when he when he's off the way, 293 00:16:11,160 --> 00:16:14,600 Speaker 1: exactly right. He don't do lock and key, you lock, 294 00:16:15,760 --> 00:16:18,600 Speaker 1: but biden had. It's something for us to play today. 295 00:16:19,640 --> 00:16:22,200 Speaker 1: It's been a while since. Remember I used to smell 296 00:16:22,280 --> 00:16:26,400 Speaker 1: women's hair. Yes, he used to nuzzle them. I thought 297 00:16:26,440 --> 00:16:29,520 Speaker 1: of you because I saw a commercial last night, and 298 00:16:29,800 --> 00:16:32,360 Speaker 1: you know insurance company commercials. Oh god, they run a 299 00:16:32,440 --> 00:16:34,600 Speaker 1: billion of them. It's the same one over and over again. Yeah, 300 00:16:34,840 --> 00:16:36,400 Speaker 1: but I don't know. I looked at it for a 301 00:16:36,440 --> 00:16:38,360 Speaker 1: second and said, I haven't seen this one before. And 302 00:16:38,480 --> 00:16:40,720 Speaker 1: a guy with a really long beard sits down in 303 00:16:40,760 --> 00:16:42,920 Speaker 1: front of the insurance guy and he goes, yeah, I 304 00:16:43,000 --> 00:16:46,160 Speaker 1: have a problem. After a really good meal, I like 305 00:16:46,280 --> 00:16:47,920 Speaker 1: to smell my beard and he lifts it up and 306 00:16:47,960 --> 00:16:51,640 Speaker 1: he goes it was kind of funny. H oh, it's 307 00:16:51,680 --> 00:16:53,360 Speaker 1: also but it was just kind of funny because I 308 00:16:53,520 --> 00:16:55,280 Speaker 1: never thought about that maybe there was a guy out there. 309 00:16:55,320 --> 00:16:57,600 Speaker 1: They have to a really good like barbecue meal soaks 310 00:16:57,680 --> 00:16:59,840 Speaker 1: up into the beard. He likes to later on kind 311 00:16:59,880 --> 00:17:02,360 Speaker 1: of relive it by lifting the beard up and sniffing it. 312 00:17:02,640 --> 00:17:04,359 Speaker 1: It kind of makes sense, doesn't it. Well, all the 313 00:17:04,440 --> 00:17:07,480 Speaker 1: barbecue juice is in there, that's right, right? Or like 314 00:17:07,560 --> 00:17:10,720 Speaker 1: it maybe a really good pizza And is that a 315 00:17:10,720 --> 00:17:13,560 Speaker 1: guy you want to know? No? And of course the 316 00:17:13,680 --> 00:17:15,800 Speaker 1: idea was this is a crazy person, and the insurance 317 00:17:15,800 --> 00:17:20,359 Speaker 1: guys kind of telling him it, don't do that. So 318 00:17:21,359 --> 00:17:24,320 Speaker 1: but that was Joe. People called him creepy Joe because 319 00:17:24,359 --> 00:17:26,760 Speaker 1: he was touchy feely. End he liked to smell women's hair. 320 00:17:27,920 --> 00:17:33,040 Speaker 1: Today he was speaking in front of a teacher's union. 321 00:17:33,880 --> 00:17:38,119 Speaker 1: So that's the context of this, and apparently he looks 322 00:17:38,160 --> 00:17:42,720 Speaker 1: out into the audience and he recognizes somebody. Let's play 323 00:17:42,800 --> 00:17:46,080 Speaker 1: the brief audio. But guess what, we got a lot 324 00:17:46,119 --> 00:17:51,879 Speaker 1: to do. I gotta say hi to me. We go 325 00:17:52,000 --> 00:17:55,359 Speaker 1: back a long way. She was twelve, I was thirty. 326 00:17:55,440 --> 00:17:59,879 Speaker 1: But anyway, this woman helped me get an awful lot 327 00:18:00,080 --> 00:18:05,240 Speaker 1: done any rate. No, he recognized as a teacher in 328 00:18:05,280 --> 00:18:08,240 Speaker 1: the audience that I guess he met years ago, but 329 00:18:08,400 --> 00:18:11,280 Speaker 1: I don't really. She was twelve and I was thirty, 330 00:18:12,840 --> 00:18:15,400 Speaker 1: so she would not have been like a union teacher organizer. 331 00:18:15,440 --> 00:18:18,639 Speaker 1: I don't know what she was as a student, and 332 00:18:18,920 --> 00:18:20,240 Speaker 1: I don't know how many years ago it was, but 333 00:18:20,280 --> 00:18:21,879 Speaker 1: he knows how quickly. Well, if he was thirty this 334 00:18:22,040 --> 00:18:24,560 Speaker 1: fifty years ago, he's eighty, right, she'd be in her 335 00:18:24,640 --> 00:18:28,480 Speaker 1: sixties and he picked her out. Do you think you'd 336 00:18:28,520 --> 00:18:32,040 Speaker 1: recognize somebody that was twelve and is now sixty two? 337 00:18:32,200 --> 00:18:36,119 Speaker 1: Well it depended, easily depends. Some people don't change a 338 00:18:36,160 --> 00:18:39,640 Speaker 1: whole lot, But I think you changed a lot from 339 00:18:39,640 --> 00:18:41,480 Speaker 1: your twelve to sixty two. I could see twelve to 340 00:18:41,640 --> 00:18:46,000 Speaker 1: twenty year maybe even thirty. I don't know. But sixty, 341 00:18:46,240 --> 00:18:47,879 Speaker 1: I mean, I don't understand. I looked at pictures of 342 00:18:47,880 --> 00:18:49,320 Speaker 1: people when they were kids, and you're like, you gotta 343 00:18:49,320 --> 00:18:52,359 Speaker 1: be kidding, Dad. There's there's a couple of people from 344 00:18:52,400 --> 00:18:56,359 Speaker 1: my class, like a high school class, who look remarkably 345 00:18:56,440 --> 00:19:02,280 Speaker 1: the same high school Okay, yeah, that gets the ways off, 346 00:19:02,359 --> 00:19:06,040 Speaker 1: but that's closer than twelve year old. But and then, 347 00:19:06,119 --> 00:19:08,080 Speaker 1: and then some people look like they got hit by 348 00:19:08,080 --> 00:19:14,800 Speaker 1: a bus or they ate the bus. Heritage Foundation put 349 00:19:14,840 --> 00:19:17,720 Speaker 1: out a study today. They compiled some data, They did 350 00:19:17,800 --> 00:19:21,159 Speaker 1: some number crunching. The average American has lost more than 351 00:19:21,240 --> 00:19:24,200 Speaker 1: four thousand dollars in annual income sin Spiden took office 352 00:19:24,600 --> 00:19:27,960 Speaker 1: thanks to inflation and higher interest rates, which wipes out 353 00:19:28,000 --> 00:19:32,240 Speaker 1: people's income games as compared to the Trump administration. Those 354 00:19:32,480 --> 00:19:36,119 Speaker 1: are the numbers. They analyze consumer price data and the 355 00:19:36,200 --> 00:19:39,320 Speaker 1: federal reserved interest rates, and in this report says that 356 00:19:39,400 --> 00:19:42,680 Speaker 1: Americans have lost the equivalent of four thousand, two hundred 357 00:19:42,680 --> 00:19:47,480 Speaker 1: dollars of income per capita since January twentieth, twenty twenty one. 358 00:19:48,000 --> 00:19:50,520 Speaker 1: And these are the things that people actually vote on. 359 00:19:50,640 --> 00:19:54,040 Speaker 1: People that that's white worked up over consumer prices. Yeah, 360 00:19:54,119 --> 00:19:56,639 Speaker 1: that's that's what the vote's going to be on and 361 00:19:56,760 --> 00:19:58,679 Speaker 1: he's not going to make up that four thousand dollars, 362 00:19:59,280 --> 00:20:02,000 Speaker 1: not in two The world's gonna world's gonna be different 363 00:20:02,040 --> 00:20:05,280 Speaker 1: in January exactly in terms of what they what they 364 00:20:05,359 --> 00:20:07,840 Speaker 1: do in Washington, DC, because he's gonna he's gonna lose 365 00:20:07,960 --> 00:20:11,600 Speaker 1: enough power that he'll be stymied. Consumer prices have risen 366 00:20:11,680 --> 00:20:15,080 Speaker 1: twelve point seven percent since January of twenty twenty one 367 00:20:15,119 --> 00:20:17,080 Speaker 1: when this man took office. And the good thing is 368 00:20:17,160 --> 00:20:21,320 Speaker 1: the House is where spending bills originate. You can't get 369 00:20:21,359 --> 00:20:24,280 Speaker 1: any spending done without the House approving it. And they're 370 00:20:24,359 --> 00:20:26,119 Speaker 1: just gonna they're gonna put the brakes on all this 371 00:20:26,480 --> 00:20:29,760 Speaker 1: because the inflation comes directly from the excess of spending. 372 00:20:31,840 --> 00:20:35,280 Speaker 1: Did you have a statistic one day, something crazy like, 373 00:20:35,520 --> 00:20:37,880 Speaker 1: I don't know, eighty percent of all the money we've 374 00:20:37,960 --> 00:20:41,280 Speaker 1: ever printed, we printed just in the last three years. 375 00:20:43,280 --> 00:20:46,280 Speaker 1: Did I say that something like that. Yeah, I'll get 376 00:20:46,320 --> 00:20:50,119 Speaker 1: the exact number, but it's it's nine trillion dollars of 377 00:20:50,880 --> 00:20:54,520 Speaker 1: excess spending from all the programs, and that's what created 378 00:20:54,560 --> 00:20:57,320 Speaker 1: the inflation. That and the zero interest rates that the 379 00:20:57,400 --> 00:20:59,960 Speaker 1: Federal Reserve had, so you had all this extra money 380 00:21:00,359 --> 00:21:02,879 Speaker 1: coming from the government into the economy, and then it 381 00:21:03,119 --> 00:21:07,200 Speaker 1: was so cheap to borrow money. I mean, that's why 382 00:21:07,240 --> 00:21:10,639 Speaker 1: the stock market exploded, That's why crypto exploded, because all 383 00:21:10,800 --> 00:21:14,280 Speaker 1: all the players had access to borrow tons of money 384 00:21:14,600 --> 00:21:17,800 Speaker 1: and then bet on it. And you know now they've 385 00:21:17,800 --> 00:21:20,760 Speaker 1: been they've been selling their winnings for the past few months. 386 00:21:20,800 --> 00:21:22,840 Speaker 1: That's why the stock market is crashing. It's it's guys 387 00:21:22,880 --> 00:21:26,440 Speaker 1: who made out big and they're taking it home. Right, 388 00:21:27,440 --> 00:21:31,040 Speaker 1: So that that that that that nonsensial stop in January 389 00:21:31,400 --> 00:21:36,600 Speaker 1: at least for two years now in an indication that 390 00:21:36,880 --> 00:21:41,320 Speaker 1: Biden maybe around in twenty twenty four. Guess where he's 391 00:21:41,320 --> 00:21:43,359 Speaker 1: going on Tuesday for some kind of a rally. I 392 00:21:43,400 --> 00:21:46,560 Speaker 1: didn't think Biden did rallies. Remember during COVID people had 393 00:21:46,600 --> 00:21:48,720 Speaker 1: to drive up in their cars and wave at him something. 394 00:21:49,640 --> 00:21:53,840 Speaker 1: He did a couple of appearances in twenty twenty and 395 00:21:53,960 --> 00:21:57,160 Speaker 1: they were like drivings, like movie movie theater drivings. He's 396 00:21:57,200 --> 00:22:01,280 Speaker 1: going to Florida to hold a rally on Tuesday, and 397 00:22:01,400 --> 00:22:04,440 Speaker 1: they think he's probably going to go after DeSantis and 398 00:22:04,560 --> 00:22:07,840 Speaker 1: some of his comments not that Biden's a firebrand and 399 00:22:07,920 --> 00:22:10,600 Speaker 1: that'll amount to much, but they'll write something for him 400 00:22:10,640 --> 00:22:14,360 Speaker 1: that he'll read from a telepronct. Honestly, you've died concerned 401 00:22:14,400 --> 00:22:16,800 Speaker 1: the flights, the immigrant flights. You gotta you gotta be 402 00:22:16,880 --> 00:22:21,159 Speaker 1: a buffoon. I don't think anybody, any intelligent person, listens 403 00:22:21,160 --> 00:22:23,840 Speaker 1: to anything he says. Half of what he says is wrong. 404 00:22:24,000 --> 00:22:27,000 Speaker 1: Half of them they they have to, they have to. 405 00:22:27,560 --> 00:22:29,919 Speaker 1: His staff has to deny what he says. Yeah, I'm 406 00:22:29,920 --> 00:22:32,680 Speaker 1: not using that term walk back. Well, I think it's funny. 407 00:22:32,720 --> 00:22:37,639 Speaker 1: I'd like to use it. He says stupid stuff. He 408 00:22:37,680 --> 00:22:41,560 Speaker 1: says wrong stuff almost every day. He says stuff that's 409 00:22:41,640 --> 00:22:45,960 Speaker 1: factually just false. He says lots of stuff he doesn't mean. 410 00:22:46,840 --> 00:22:49,960 Speaker 1: I mean, anybody who listens to Joe Biden talk, you know, 411 00:22:50,000 --> 00:22:51,840 Speaker 1: you might as well put on the exit bag. That 412 00:22:52,040 --> 00:22:54,320 Speaker 1: is the biggest waste of time in the world. Wow. 413 00:22:54,480 --> 00:22:57,600 Speaker 1: But he may be doing this more for the congressional 414 00:22:57,600 --> 00:23:00,359 Speaker 1: elections coming up in the fall. But I thought, well, 415 00:23:00,359 --> 00:23:01,960 Speaker 1: if he's going to Florida as a state he lost 416 00:23:02,000 --> 00:23:04,640 Speaker 1: in twenty twenty and he's making it look maybe he's 417 00:23:04,680 --> 00:23:06,400 Speaker 1: making it look like he's gonna run in twenty four 418 00:23:06,960 --> 00:23:10,479 Speaker 1: like an early test rally. No see if he's got 419 00:23:10,560 --> 00:23:15,840 Speaker 1: anything going there and he fires Burden. Well, like they're 420 00:23:16,040 --> 00:23:20,760 Speaker 1: they're gonna try to stop the bleeding for the November midterms. 421 00:23:21,640 --> 00:23:25,680 Speaker 1: You know, you've got to go out there and do something. Yeah, 422 00:23:26,160 --> 00:23:28,040 Speaker 1: you know, the latest polling tracking I've seen is now 423 00:23:28,160 --> 00:23:30,679 Speaker 1: up in the air. They had easily the Republicans were 424 00:23:30,680 --> 00:23:32,200 Speaker 1: going to take the House, and they said the Democrats 425 00:23:32,240 --> 00:23:35,000 Speaker 1: are coming back. Now they don't know the Republicans are 426 00:23:35,000 --> 00:23:37,520 Speaker 1: gonna win big, do you think so? Huh hat sticking 427 00:23:37,560 --> 00:23:40,200 Speaker 1: with that? Oh? Yeah, because because of what the first 428 00:23:40,240 --> 00:23:43,359 Speaker 1: thing you said, four thousand dollars people are down in 429 00:23:43,440 --> 00:23:45,480 Speaker 1: the last two years. That's a big determined Yeah, that's 430 00:23:45,480 --> 00:23:49,120 Speaker 1: the determined. In the end, that is just the progressive 431 00:23:49,160 --> 00:23:52,040 Speaker 1: news media doing their cheerleading routine. So they create a 432 00:23:52,080 --> 00:23:53,800 Speaker 1: bunch of fakings. Well, yeah, they headline today is that 433 00:23:53,840 --> 00:23:55,639 Speaker 1: the abortion issue was bringing them in and it may 434 00:23:55,920 --> 00:23:58,919 Speaker 1: save the Democrats. The people who are turned out by 435 00:23:58,960 --> 00:24:02,520 Speaker 1: the abortion issue, we're going to vote for Democrats anyway. Yeah, 436 00:24:02,520 --> 00:24:05,960 Speaker 1: they were probably already. This is all about turnout. Any 437 00:24:06,040 --> 00:24:08,480 Speaker 1: economy is usually a big determinant of media is hype 438 00:24:08,480 --> 00:24:12,000 Speaker 1: and nonsense. All right, we've got more coming up We 439 00:24:12,080 --> 00:24:14,359 Speaker 1: are going to be talking after three o'clock once again 440 00:24:14,400 --> 00:24:17,520 Speaker 1: to our business owner in Sherman Oaks who was at 441 00:24:17,560 --> 00:24:20,200 Speaker 1: his wits end with the mentally ill homeless on the 442 00:24:20,280 --> 00:24:22,959 Speaker 1: sidewalk outside his business, including one that hurled the bag 443 00:24:23,040 --> 00:24:26,200 Speaker 1: of feces at his car. Has been a new development 444 00:24:26,600 --> 00:24:29,280 Speaker 1: Johnny Ken's show on kf I Am six forty live 445 00:24:29,359 --> 00:24:32,840 Speaker 1: everywhere in the iHeartRadio app Welcome to La. We're hurling 446 00:24:32,880 --> 00:24:35,480 Speaker 1: your feces at people? Hey, you know what doesn't get 447 00:24:35,560 --> 00:24:37,720 Speaker 1: much of a response from the police or your local 448 00:24:37,760 --> 00:24:40,639 Speaker 1: city council rep. Anyway. That's the story we did a 449 00:24:40,680 --> 00:24:43,600 Speaker 1: couple of days ago. We're gonna do an update after 450 00:24:43,800 --> 00:24:46,800 Speaker 1: three o'clock. There has been a development in the case. 451 00:24:46,880 --> 00:24:48,679 Speaker 1: We're going to talk to a business owner in Sherman 452 00:24:48,720 --> 00:24:52,480 Speaker 1: Oaks who was subject to that treatment the bag of 453 00:24:52,560 --> 00:24:55,480 Speaker 1: feces at the guy's car and not him personally, but 454 00:24:56,080 --> 00:24:58,680 Speaker 1: he has been hounded by homeless people outside of his 455 00:24:58,800 --> 00:25:01,840 Speaker 1: business for some time now. And one of the remarkable 456 00:25:01,920 --> 00:25:05,840 Speaker 1: things about the story is he was sending proof video 457 00:25:06,080 --> 00:25:10,440 Speaker 1: photos to his council rep. This is Nithia Rahman, who 458 00:25:10,840 --> 00:25:13,600 Speaker 1: response basically was to ignore it and then to say 459 00:25:13,640 --> 00:25:17,760 Speaker 1: stop threatening me. Yeah, Nithia Ramen, considering it sort of 460 00:25:17,840 --> 00:25:21,840 Speaker 1: obscene because in some cases the man's pants are down. Picture. Yeah, 461 00:25:21,920 --> 00:25:27,320 Speaker 1: Nithia Rahman is this weird member of the Democratic Socialists 462 00:25:27,359 --> 00:25:31,240 Speaker 1: of America the DSA. This is a radical fringe party 463 00:25:31,800 --> 00:25:38,520 Speaker 1: that embraces rampant destruction of civilized life. They're they're all 464 00:25:38,600 --> 00:25:41,879 Speaker 1: for criminals running the streets, They're all for homeless people 465 00:25:42,680 --> 00:25:45,440 Speaker 1: dying in the streets. You know, they wanted all the 466 00:25:45,520 --> 00:25:50,440 Speaker 1: jails closed and all the law enforcement defunded, dissolved, And 467 00:25:50,840 --> 00:25:55,720 Speaker 1: she's she's a crazy radical. And she's finally approached by 468 00:25:55,800 --> 00:25:58,560 Speaker 1: Janie Silver from Fox eleven, who actually had to ask her, 469 00:25:59,000 --> 00:26:01,280 Speaker 1: what do you know what what would it feel like 470 00:26:01,320 --> 00:26:05,000 Speaker 1: if somebody through feces at you? Imagine this a reporter 471 00:26:05,240 --> 00:26:08,840 Speaker 1: desperately trying to break through ni Araman Skull. Get some 472 00:26:09,000 --> 00:26:12,080 Speaker 1: kind of answers. People can understand kind of empathy here. 473 00:26:12,280 --> 00:26:14,320 Speaker 1: Do you know what it's like to get feces thrown 474 00:26:14,359 --> 00:26:18,440 Speaker 1: at you? How would you feel? And this doesn't that 475 00:26:18,680 --> 00:26:20,960 Speaker 1: mean this has gone too far and we should do something. 476 00:26:22,040 --> 00:26:25,160 Speaker 1: People are hurling feces apparently not. She turned on Well, 477 00:26:25,200 --> 00:26:27,240 Speaker 1: it's Paul Scravana we had him on a couple of 478 00:26:27,320 --> 00:26:29,840 Speaker 1: days ago. Is a real fireball, and this is the 479 00:26:29,880 --> 00:26:32,440 Speaker 1: treatment he got from Nithi aromaed. It was almost like 480 00:26:32,880 --> 00:26:36,080 Speaker 1: a threat saying, you know you're you're sending me obscene material. 481 00:26:36,760 --> 00:26:40,680 Speaker 1: She was gonna try to get him arrested. We will 482 00:26:40,760 --> 00:26:44,680 Speaker 1: play Gina Silva's update report run after the news that's 483 00:26:44,720 --> 00:26:47,919 Speaker 1: from Fox eleven, and then we'll talk to Paul at 484 00:26:48,000 --> 00:26:52,720 Speaker 1: three h five. This story from Michigan really has a 485 00:26:52,800 --> 00:26:56,080 Speaker 1: kicker to it because, well we'll get to that. Back 486 00:26:56,160 --> 00:26:59,000 Speaker 1: in December of twenty nineteen, you gotta be careful who 487 00:26:59,040 --> 00:27:03,680 Speaker 1: you meet these dating hook up apps. One of the 488 00:27:03,760 --> 00:27:07,480 Speaker 1: more well known ones is Grinder g R I N 489 00:27:07,640 --> 00:27:12,560 Speaker 1: d R. It's for gay, bisexual and trans men. In 490 00:27:12,760 --> 00:27:21,920 Speaker 1: December of twenty nineteen, a hairdresser in Michigan named Kevin Bacon, 491 00:27:23,040 --> 00:27:25,480 Speaker 1: not the actor, just happened to have the same name, 492 00:27:26,320 --> 00:27:29,920 Speaker 1: did respond on Grinder and went to the home of 493 00:27:30,040 --> 00:27:34,600 Speaker 1: a man by the name of Mark Latunski. Well that's 494 00:27:34,640 --> 00:27:40,119 Speaker 1: the last we saw of Kevin Bacon because Latunski knocked 495 00:27:40,200 --> 00:27:44,480 Speaker 1: him out, stabbed him in the back, then removed parts 496 00:27:44,520 --> 00:27:47,000 Speaker 1: of his body, took him to the kitchen and cooked 497 00:27:47,080 --> 00:27:50,720 Speaker 1: him up, nate him. Deborah, you want to guess what 498 00:27:51,000 --> 00:27:56,320 Speaker 1: parts Latunski eight? I can imagine he told cops that 499 00:27:56,400 --> 00:28:00,960 Speaker 1: he cut off Bacon's testicles and ate them. That's like 500 00:28:01,119 --> 00:28:06,399 Speaker 1: those Rocky Mountain oysters, right that that yes, certain animals. Uh, 501 00:28:07,600 --> 00:28:10,320 Speaker 1: people do. I just ran into someone recently that felt 502 00:28:10,359 --> 00:28:11,960 Speaker 1: for that. Didn't know that's what that was. It was 503 00:28:12,040 --> 00:28:14,159 Speaker 1: years ago when they ate them as, Like, you're kidding me. 504 00:28:14,320 --> 00:28:16,720 Speaker 1: If that's all that was available, I'd become a vegan. 505 00:28:20,280 --> 00:28:25,840 Speaker 1: That's yeah. Well, that Bacon's corps was found hanging from 506 00:28:25,840 --> 00:28:29,919 Speaker 1: the rafters of Latunski's basement, with rope tied around his ankles, 507 00:28:30,000 --> 00:28:35,000 Speaker 1: his throat slit, and body parts removed in including those 508 00:28:35,320 --> 00:28:41,280 Speaker 1: those testicles. Yeah. Letunski had first pled not guilty, got 509 00:28:41,320 --> 00:28:45,080 Speaker 1: the insanity defense, but now apparently the development is he's 510 00:28:45,120 --> 00:28:49,120 Speaker 1: come clean and admitted in detail exactly what he did 511 00:28:49,600 --> 00:28:53,640 Speaker 1: Kevin Bacon. He's got the Manson beard going. Uh. You know, 512 00:28:54,600 --> 00:28:56,280 Speaker 1: his attorney told him not to do that. You have 513 00:28:56,320 --> 00:28:58,280 Speaker 1: a history of mental illness, keep going with that. But 514 00:28:58,400 --> 00:29:02,560 Speaker 1: apparently he decided to plead guilty anyway. You know, if 515 00:29:02,720 --> 00:29:06,480 Speaker 1: I don't know on the I've never gone on one 516 00:29:06,520 --> 00:29:09,880 Speaker 1: of these dating apps, and I would never go even 517 00:29:09,920 --> 00:29:12,640 Speaker 1: if I was single, because that's what you could run into. 518 00:29:12,800 --> 00:29:16,160 Speaker 1: You could run into a latoon ski, all right, you could, yes? Yeah? 519 00:29:16,520 --> 00:29:20,640 Speaker 1: And if I saw his photo on my app, I 520 00:29:20,720 --> 00:29:24,080 Speaker 1: don't know who in their right mind would would swipe 521 00:29:24,160 --> 00:29:29,200 Speaker 1: him connect with him. I mean he looks like a 522 00:29:29,320 --> 00:29:34,080 Speaker 1: guy who eats men's testicles. Yeah. And by the way, 523 00:29:34,200 --> 00:29:36,160 Speaker 1: he was fifty years old at the time. These guys 524 00:29:36,200 --> 00:29:38,560 Speaker 1: weren't even close in age that dead guys only twenty five. 525 00:29:38,800 --> 00:29:41,760 Speaker 1: I mean that's just did he send like a fake 526 00:29:41,840 --> 00:29:44,200 Speaker 1: picture or some fake information on don't But what do 527 00:29:44,280 --> 00:29:47,440 Speaker 1: you think is going to happen? You go on a 528 00:29:47,560 --> 00:29:51,400 Speaker 1: dating app, you choose a guy who resembles Charles Manson, 529 00:29:51,840 --> 00:29:56,640 Speaker 1: you think you're gonna get out of there alive. I 530 00:29:56,720 --> 00:29:59,920 Speaker 1: don't understand the decisions people make. He hung them up 531 00:30:00,080 --> 00:30:02,040 Speaker 1: side down in the basement like they do like a 532 00:30:02,120 --> 00:30:08,040 Speaker 1: side of beef. I guess to let the blood drain out. Oh, 533 00:30:08,280 --> 00:30:10,560 Speaker 1: is that what they do with the cattle? Yeah? Do 534 00:30:10,560 --> 00:30:12,200 Speaker 1: you ever see you ever see the side of beef 535 00:30:12,200 --> 00:30:14,720 Speaker 1: that are hanging on like the Yeah? Yeah, I've put 536 00:30:14,800 --> 00:30:17,520 Speaker 1: your warehouses you never knew why they did that. I 537 00:30:17,600 --> 00:30:20,120 Speaker 1: think it's to drain the fluids. Yeah, either the floor 538 00:30:20,240 --> 00:30:22,160 Speaker 1: usually has like a trap on it to collect them. 539 00:30:24,880 --> 00:30:27,920 Speaker 1: So how many times I look at that? See during 540 00:30:27,960 --> 00:30:30,280 Speaker 1: the fall of twenty nineteen before this happened, I just 541 00:30:30,320 --> 00:30:33,080 Speaker 1: found another story. Troopers responded to a call of a 542 00:30:33,200 --> 00:30:36,520 Speaker 1: partially clothed man being chased out of Latunski's house. That 543 00:30:36,720 --> 00:30:39,480 Speaker 1: isn't enough to put the clamps on this guy? And 544 00:30:39,600 --> 00:30:42,160 Speaker 1: how many is these? A lot like Jeffrey Dahmer, isn't it? Yeah? 545 00:30:42,240 --> 00:30:44,440 Speaker 1: And how many know how they caught Dahmers. I'm kid escaped. 546 00:30:44,560 --> 00:30:49,040 Speaker 1: This is not his first male he's fifty something. He's 547 00:30:49,120 --> 00:30:52,440 Speaker 1: eating other guys. He was also in a kidnapping case 548 00:30:52,480 --> 00:30:55,920 Speaker 1: in twenty thirteen, but they found him incompetent to stand trial. Yeah, 549 00:30:56,680 --> 00:31:00,560 Speaker 1: there you go, and then eventually the victim dismiss the charges. 550 00:31:00,600 --> 00:31:02,440 Speaker 1: But it's stupid. So this guy's gotten away a couple 551 00:31:02,440 --> 00:31:04,760 Speaker 1: of times before. He No, he's ate the hair dressler. 552 00:31:04,840 --> 00:31:07,560 Speaker 1: He's eating other people and it's tried to Yes, the 553 00:31:07,680 --> 00:31:11,680 Speaker 1: stupid authorities don't put them in in a mental institution 554 00:31:11,800 --> 00:31:14,520 Speaker 1: or they what they should do is kill him. Now 555 00:31:14,840 --> 00:31:20,040 Speaker 1: they should kill him, No, kill him, don't go on 556 00:31:20,120 --> 00:31:23,400 Speaker 1: a dating app. Well, it's hard for people to meet 557 00:31:23,480 --> 00:31:26,640 Speaker 1: people these days. Oh no, it's not. Just go out 558 00:31:26,680 --> 00:31:29,840 Speaker 1: and embrace the world. Talk to people. They'll talk back, 559 00:31:31,080 --> 00:31:33,840 Speaker 1: and I wouldn't even be classified most people. I don't 560 00:31:33,840 --> 00:31:36,080 Speaker 1: think Grinder's much of dating app. It's called the hook 561 00:31:36,120 --> 00:31:37,840 Speaker 1: up app. It's really just about like a one night 562 00:31:37,920 --> 00:31:43,200 Speaker 1: to Yeah, that's true, a one night meal. I don't think. 563 00:31:43,760 --> 00:31:49,560 Speaker 1: Is there cannibal? Is there a cannibal app? I don't think. Well, 564 00:31:49,600 --> 00:31:51,840 Speaker 1: we've learned in Germany in some places there were men 565 00:31:51,920 --> 00:31:57,200 Speaker 1: that volunteer for this, yes really yeah, yeah, but not 566 00:31:57,320 --> 00:32:00,040 Speaker 1: to be killed, but to perhaps have other Yeah, I 567 00:32:00,120 --> 00:32:02,440 Speaker 1: do things cut off and yeah he needs to be 568 00:32:02,480 --> 00:32:06,440 Speaker 1: he'd have amputations. Yes, that is a very strange, the 569 00:32:06,560 --> 00:32:09,800 Speaker 1: sexually pleased at election. Yeah all right. Coming up next 570 00:32:09,800 --> 00:32:12,120 Speaker 1: to an update on our story from earlier this week 571 00:32:12,160 --> 00:32:14,640 Speaker 1: out of Sherman Oaks, in which the homeless have taken 572 00:32:14,720 --> 00:32:17,320 Speaker 1: over the sidewalks in front of businesses a stretch of 573 00:32:17,360 --> 00:32:20,880 Speaker 1: Inventura Boulevard, including one guy who hurls feces in a bag. 574 00:32:21,360 --> 00:32:23,400 Speaker 1: There has been a new development. So our guest is 575 00:32:23,400 --> 00:32:25,920 Speaker 1: a business owner coming up John and Ken Show. Debrah 576 00:32:25,960 --> 00:32:28,840 Speaker 1: Mark has the news caf I am six forty. Hey Ken, 577 00:32:28,960 --> 00:32:31,040 Speaker 1: did you know that gold is the only currency that's 578 00:32:31,040 --> 00:32:33,800 Speaker 1: held its value since the dawn of money? Well? I 579 00:32:33,920 --> 00:32:37,240 Speaker 1: did thanks to our friends at Legacy Precious Medals, the 580 00:32:37,360 --> 00:32:41,560 Speaker 1: most trusted name in gold investing. Investing in gold protects 581 00:32:41,600 --> 00:32:44,800 Speaker 1: you against inflation and gives you a hedge against stock 582 00:32:44,880 --> 00:32:48,800 Speaker 1: market volatility. Don't leave your retirement to chance. Call Legacy 583 00:32:48,840 --> 00:32:52,320 Speaker 1: Precious Medals today at eight six six six nine one 584 00:32:52,480 --> 00:32:55,680 Speaker 1: two one seven three or download your free investor's guide 585 00:32:55,760 --> 00:32:59,640 Speaker 1: now at by Legacy goold dot com. That's by Legacy 586 00:32:59,720 --> 00:33:00,520 Speaker 1: Gold dot com.