1 00:00:00,600 --> 00:00:02,920 Speaker 1: Caf I Am six forty. You're listening to the John 2 00:00:02,960 --> 00:00:05,520 Speaker 1: and Ken Show on demand on the iHeartRadio app. 3 00:00:08,840 --> 00:00:09,240 Speaker 2: Welcome. 4 00:00:09,320 --> 00:00:11,920 Speaker 1: We're on the radio live from one till four after 5 00:00:12,000 --> 00:00:14,760 Speaker 1: four o'clock. You can hear the show again and again 6 00:00:15,040 --> 00:00:17,520 Speaker 1: and again on the iHeart app. Johnny Can on demand 7 00:00:17,520 --> 00:00:18,120 Speaker 1: the podcast. 8 00:00:19,079 --> 00:00:20,600 Speaker 2: Yeah all right, Well, we got a lot of good 9 00:00:20,600 --> 00:00:23,040 Speaker 2: stuff to get to you if you are always intrigued 10 00:00:23,040 --> 00:00:25,000 Speaker 2: by the topic of voter fraud. We'll be talking to 11 00:00:25,040 --> 00:00:27,960 Speaker 2: Carl Demayo later this hour from Reform California and also 12 00:00:28,000 --> 00:00:30,520 Speaker 2: a talk show host on Coco Radio down in San Diego, 13 00:00:30,560 --> 00:00:34,600 Speaker 2: and they're putting out a report on some prospective voter 14 00:00:34,720 --> 00:00:36,800 Speaker 2: fraud that appears, of course, to have been overlooked. He'll 15 00:00:36,800 --> 00:00:39,319 Speaker 2: find out what that is. And in one hour, we're 16 00:00:39,320 --> 00:00:40,680 Speaker 2: going to talk to a woman that used to be 17 00:00:40,720 --> 00:00:44,879 Speaker 2: a sam Bernardino County Sheriff's deputy. She got attacked by 18 00:00:44,920 --> 00:00:48,120 Speaker 2: apparently a man with schizophrenia. It was caught on part 19 00:00:48,159 --> 00:00:51,559 Speaker 2: of it cell phone video. Well, the jury decided that 20 00:00:51,640 --> 00:00:53,760 Speaker 2: he's pretty much not guilty of all the charges and 21 00:00:54,160 --> 00:00:57,760 Speaker 2: she's left in shock. She is no longer a Sambordino 22 00:00:57,800 --> 00:01:00,760 Speaker 2: County shriff's deputy. But we will talk to her about 23 00:01:00,760 --> 00:01:04,480 Speaker 2: this complete screw over from the criminal justice system in 24 00:01:04,560 --> 00:01:07,600 Speaker 2: about an hour. One of the late stories, although this 25 00:01:07,680 --> 00:01:09,959 Speaker 2: is part of it I like better than others, is 26 00:01:10,000 --> 00:01:15,760 Speaker 2: that Mayor Bassetti got COVID nineteen. Why is she announcing this? 27 00:01:15,760 --> 00:01:18,760 Speaker 1: This is stupid. It's June at twenty twenty three. Who 28 00:01:18,800 --> 00:01:20,520 Speaker 1: announces that they had a. 29 00:01:20,440 --> 00:01:23,920 Speaker 2: Cold or they have a cold? Perfect because you led 30 00:01:24,000 --> 00:01:26,880 Speaker 2: right into my favorite part of the story. She's had 31 00:01:26,880 --> 00:01:30,000 Speaker 2: to cancel her schedule. You see, the reporters look to 32 00:01:30,040 --> 00:01:31,800 Speaker 2: see whether the mayor is going to be appearing and 33 00:01:31,840 --> 00:01:34,000 Speaker 2: whether or not they want to cover her schedule for 34 00:01:34,080 --> 00:01:38,080 Speaker 2: the day. She apparently could not lead a press lunch today. 35 00:01:38,600 --> 00:01:42,039 Speaker 2: Wait for this to officially announce it. Indonesia is the 36 00:01:42,040 --> 00:01:44,920 Speaker 2: country that will be celebrated at this year's annual Lotus 37 00:01:44,959 --> 00:01:47,760 Speaker 2: Festival at et Co Park. Now, I for one was 38 00:01:47,800 --> 00:01:50,880 Speaker 2: waiting for that announcement. So if you wanted to know 39 00:01:51,280 --> 00:01:54,800 Speaker 2: who which country will be celebrated this year's Lotus festival, 40 00:01:54,880 --> 00:01:57,880 Speaker 2: is it go Park? What is a Lotus festival? It's 41 00:01:57,880 --> 00:02:00,280 Speaker 2: some sort of Asian tradition. I guess I. 42 00:02:00,840 --> 00:02:05,320 Speaker 1: Shouldn't she be doing outreach and getting vagrants off the street. Wait, 43 00:02:05,600 --> 00:02:08,040 Speaker 1: she was also going to attend the l i u N, 44 00:02:08,040 --> 00:02:14,200 Speaker 1: a local three hundred scholarship dinner to address I U NA. Yeah, 45 00:02:14,200 --> 00:02:17,880 Speaker 1: that's a union. It's that's an accron stands for something 46 00:02:18,120 --> 00:02:18,880 Speaker 1: like LIUNA. 47 00:02:19,560 --> 00:02:21,240 Speaker 2: I don't know. I see, I had to look that 48 00:02:21,280 --> 00:02:23,919 Speaker 2: one up. I didn't do that, but that was one 49 00:02:23,960 --> 00:02:27,160 Speaker 2: of her other big events today. And sorry, John, she 50 00:02:27,160 --> 00:02:29,919 Speaker 2: wasn't gonna go in cure homelessness. I think she ought 51 00:02:30,000 --> 00:02:33,360 Speaker 2: she ought to be dismantling tense. That's what she was 52 00:02:33,360 --> 00:02:36,519 Speaker 2: elected to do. But she was vaccinated and boosted. 53 00:02:37,080 --> 00:02:39,800 Speaker 1: Well all right, so but why do people announce this 54 00:02:39,880 --> 00:02:40,560 Speaker 1: stuff still? 55 00:02:42,400 --> 00:02:44,960 Speaker 2: Some of the public wants to know, who's all right? 56 00:02:45,040 --> 00:02:48,440 Speaker 1: Find me one person? I once recording it like it's 57 00:02:48,480 --> 00:02:49,760 Speaker 1: breaking one one guy. 58 00:02:50,320 --> 00:02:51,760 Speaker 2: Yeah, that's another thing. Why is why? 59 00:02:51,800 --> 00:02:56,600 Speaker 1: Why is any any news announcing it? Well, so she's 60 00:02:56,639 --> 00:02:57,360 Speaker 1: not feeling good. 61 00:02:57,680 --> 00:03:02,360 Speaker 2: So yeah, I thought this story was over with. It's not. 62 00:03:02,600 --> 00:03:06,880 Speaker 2: People are still testimony. The story is over, but she's 63 00:03:06,880 --> 00:03:10,120 Speaker 2: gotta work remotely. She will not be making appearances. We 64 00:03:10,200 --> 00:03:13,760 Speaker 2: don't know what she's how she's feeling. Do we care? No, 65 00:03:14,040 --> 00:03:17,960 Speaker 2: they're saying that nobody's doing well. Nobody cares. What's the word, oh, 66 00:03:17,960 --> 00:03:20,240 Speaker 2: feeling fine. It will continue to work remotely if she 67 00:03:20,280 --> 00:03:21,800 Speaker 2: follows public health guidelines. 68 00:03:21,840 --> 00:03:24,520 Speaker 1: So she doesn't even she doesn't even any symptoms that 69 00:03:24,600 --> 00:03:29,320 Speaker 1: are worth talking about. Didn't say that she's feeling fine 70 00:03:29,360 --> 00:03:33,600 Speaker 1: but has some symptoms that I said symptoms worth talking about. 71 00:03:34,040 --> 00:03:36,800 Speaker 1: Symptoms if worth talking. If you're feeling fine and you're 72 00:03:36,800 --> 00:03:40,440 Speaker 1: working anyway, then whatever you've got isn't worth a discussion, 73 00:03:40,840 --> 00:03:44,200 Speaker 1: isn't worth a headline, a press release, a Twitter thing. 74 00:03:44,840 --> 00:03:48,360 Speaker 1: Oh my god, they're really just stuck in that rotted 75 00:03:50,240 --> 00:03:51,960 Speaker 1: that that black hole of time. 76 00:03:53,960 --> 00:03:55,480 Speaker 2: Yeah. 77 00:03:55,760 --> 00:03:56,000 Speaker 3: Uh. 78 00:03:56,080 --> 00:03:59,280 Speaker 2: Meanwhile, Canada is starting to look like California twenty twenty. 79 00:04:00,000 --> 00:04:02,080 Speaker 2: We remember back in twenty twenty, with everything else that 80 00:04:02,160 --> 00:04:04,680 Speaker 2: was going on to fund the police, we had allow 81 00:04:04,720 --> 00:04:07,960 Speaker 2: of fires that summer. Remember all those what do they 82 00:04:08,000 --> 00:04:11,000 Speaker 2: call them complex fires because of lightning strikes up in 83 00:04:11,040 --> 00:04:12,320 Speaker 2: the middle of the stated, Well. 84 00:04:12,160 --> 00:04:14,080 Speaker 1: Those are that's when you had two big fires that 85 00:04:14,120 --> 00:04:17,560 Speaker 1: would merge. Oh, that's what it was called created a complex. 86 00:04:17,920 --> 00:04:18,599 Speaker 1: A complex. 87 00:04:18,680 --> 00:04:23,960 Speaker 2: Ye, fires merged like like two big condo buildings connecting. Well, 88 00:04:24,040 --> 00:04:26,240 Speaker 2: Canada is going through what we went through that year 89 00:04:26,240 --> 00:04:28,080 Speaker 2: and I'm only bringing it up because we've gone through 90 00:04:28,120 --> 00:04:31,200 Speaker 2: fire years before, but that's the last time we had 91 00:04:31,200 --> 00:04:35,680 Speaker 2: these discussions. Is a climate change and apparently that's what 92 00:04:35,800 --> 00:04:41,160 Speaker 2: the Prime Minister of Canada, the Soy boy Justin Trudeau, 93 00:04:41,480 --> 00:04:46,159 Speaker 2: is claiming, Prime Minister nullo because the other side is 94 00:04:46,200 --> 00:04:49,640 Speaker 2: claiming uh uh. And this this is going to sound familiar. 95 00:04:49,920 --> 00:04:55,560 Speaker 2: Poor forest management, not enough prescribed burns, not taking care 96 00:04:55,600 --> 00:04:58,159 Speaker 2: of the dead timber. It does all of this sound. 97 00:04:58,000 --> 00:05:02,960 Speaker 1: Familiar to this because because and his twin, soy Boy Newsome, 98 00:05:03,279 --> 00:05:05,960 Speaker 1: both of them have been warned for years and years 99 00:05:06,320 --> 00:05:11,080 Speaker 1: that they're watching forest management. Yes, and finally within the 100 00:05:11,120 --> 00:05:14,360 Speaker 1: last couple of years, Newsom admitted, yes, we have been 101 00:05:14,400 --> 00:05:16,919 Speaker 1: watching it. We've been watching it for one hundred years. 102 00:05:17,080 --> 00:05:20,360 Speaker 1: And there is tremendous overgrowth in the forest and that 103 00:05:20,560 --> 00:05:24,440 Speaker 1: does feed the fires. But all these fires are natural 104 00:05:24,480 --> 00:05:27,040 Speaker 1: fires from lightning strikes up in Canada. 105 00:05:27,279 --> 00:05:28,320 Speaker 2: Oh no arsonists. 106 00:05:29,120 --> 00:05:33,440 Speaker 1: No, they don't seem to have I mean, do they 107 00:05:33,440 --> 00:05:34,479 Speaker 1: have criminals in Canada? 108 00:05:36,279 --> 00:05:39,560 Speaker 2: Yeah, there's occasion shocking story of violence that comes out 109 00:05:39,600 --> 00:05:41,400 Speaker 2: of Canada. Must be some guy eight people. 110 00:05:41,760 --> 00:05:45,080 Speaker 1: Yeah, well yeah, but I'm talking about you know, a 111 00:05:45,080 --> 00:05:45,960 Speaker 1: lot of street crime. 112 00:05:46,279 --> 00:05:48,839 Speaker 2: I just don't hear much. I can seem to be 113 00:05:48,920 --> 00:05:51,680 Speaker 2: so peaceful. Oh, there's so few of them, and they're 114 00:05:51,680 --> 00:05:54,400 Speaker 2: spread out. Yeah. The problem in this country, and particularly 115 00:05:54,400 --> 00:05:56,520 Speaker 2: in the cities, people are too close together. They want 116 00:05:56,520 --> 00:05:58,400 Speaker 2: to get on each other's nerves and kill each other 117 00:05:59,240 --> 00:06:02,480 Speaker 2: and still stuff it says here. In twenty seventeen, they 118 00:06:02,480 --> 00:06:05,000 Speaker 2: had a bunch of wildfires, A bunch of reports came 119 00:06:05,040 --> 00:06:08,960 Speaker 2: out recommended they do for more forest management and increase 120 00:06:09,000 --> 00:06:10,960 Speaker 2: spending to combat the risk. And there were many saying 121 00:06:11,000 --> 00:06:14,120 Speaker 2: that that didn't really happen. No, six years later, it's 122 00:06:14,160 --> 00:06:17,080 Speaker 2: come home because you know, it only had twenty three 123 00:06:17,120 --> 00:06:21,120 Speaker 2: controlled burns this year. By comparison, Well, wow, America had 124 00:06:21,120 --> 00:06:23,920 Speaker 2: one hundred and fifty thousand control burns in twenty nineteen. 125 00:06:24,800 --> 00:06:28,400 Speaker 1: Yeah, there's really been a big change and how to 126 00:06:28,400 --> 00:06:33,000 Speaker 1: handle forest management the last few years. Yeah, because that's 127 00:06:33,040 --> 00:06:35,560 Speaker 1: what you do, and that's what the Native Americans did 128 00:06:36,000 --> 00:06:40,279 Speaker 1: for centuries. And then when we stomped in here, you know, 129 00:06:40,320 --> 00:06:42,680 Speaker 1: the white man stomped in here, we were full of 130 00:06:42,760 --> 00:06:45,760 Speaker 1: arrogance and we said no, no, we know how to 131 00:06:45,800 --> 00:06:46,200 Speaker 1: handle this. 132 00:06:46,440 --> 00:06:48,680 Speaker 2: Ohah, we were done right, Because it says your indigenous 133 00:06:48,720 --> 00:06:50,920 Speaker 2: groups in Canada were stopped from carrying out their own 134 00:06:51,080 --> 00:06:51,920 Speaker 2: controlled fires. 135 00:06:51,960 --> 00:06:55,080 Speaker 1: Now, when you spent hundreds of years in a place, 136 00:06:55,240 --> 00:06:58,400 Speaker 1: and you depend on the forest for all your food, right, 137 00:06:59,520 --> 00:07:01,880 Speaker 1: things have to grow and you have to be able 138 00:07:01,920 --> 00:07:04,080 Speaker 1: to forage for your food, and you have to make 139 00:07:04,120 --> 00:07:07,039 Speaker 1: sure the animals are well taken care of because you 140 00:07:07,120 --> 00:07:10,240 Speaker 1: need them as well. And when you're that tuned, and 141 00:07:10,280 --> 00:07:12,760 Speaker 1: that's their whole that was their whole job, right for 142 00:07:12,840 --> 00:07:13,840 Speaker 1: hundreds of years. 143 00:07:13,920 --> 00:07:14,000 Speaker 3: Right. 144 00:07:14,080 --> 00:07:17,000 Speaker 1: They didn't go off to the office, they weren't driving 145 00:07:17,040 --> 00:07:21,520 Speaker 1: on freeways. They spent all the daylight hours in some matter, 146 00:07:21,760 --> 00:07:25,000 Speaker 1: dealing with their surroundings, their natural surroundings. So there's a 147 00:07:25,040 --> 00:07:29,240 Speaker 1: tremendous amount of wisdom that they and they were they're 148 00:07:29,320 --> 00:07:32,560 Speaker 1: very good at passing down the wisdom from generation to generation. 149 00:07:33,440 --> 00:07:35,680 Speaker 1: We're a bunch of stupid clods. And then you hit 150 00:07:35,720 --> 00:07:39,800 Speaker 1: the environmentalists who are insane and they started screaming, you 151 00:07:39,840 --> 00:07:42,120 Speaker 1: can't touch the forest. You can't touch a signal tree, no, 152 00:07:42,240 --> 00:07:43,360 Speaker 1: not even a dead tree. 153 00:07:43,760 --> 00:07:46,840 Speaker 2: Well, that combination was just awful. I'm looking at pictures 154 00:07:46,880 --> 00:07:49,880 Speaker 2: of protesters. They're not in Canada, they were in Australia. 155 00:07:49,880 --> 00:07:53,000 Speaker 2: In twenty nineteen. But there are the people you're talking about. 156 00:07:53,040 --> 00:07:57,720 Speaker 2: They're holding signs spring burns, kill baby birds alive, stop 157 00:07:57,800 --> 00:07:59,760 Speaker 2: burning nesting birds. You don't want. 158 00:08:00,320 --> 00:08:03,600 Speaker 1: In any normal society, those people would be put away 159 00:08:03,600 --> 00:08:04,600 Speaker 1: in a mental institution. 160 00:08:05,040 --> 00:08:06,120 Speaker 2: That's crazy people. 161 00:08:06,520 --> 00:08:10,840 Speaker 1: Some for some reason in recent years, they these people 162 00:08:10,920 --> 00:08:15,000 Speaker 1: have prominence, They're on a platform. They they seem to 163 00:08:15,000 --> 00:08:18,200 Speaker 1: control the policy. I don't know what it is, but 164 00:08:18,600 --> 00:08:23,600 Speaker 1: almost all of their ideas are stupid, hysterical ideas. Again, 165 00:08:23,720 --> 00:08:28,040 Speaker 1: not even worth discussion, not even worth a breath of 166 00:08:28,080 --> 00:08:30,680 Speaker 1: your life entertaining or debating. 167 00:08:30,880 --> 00:08:33,600 Speaker 2: They're simply crazy people. Isn't there a way we could 168 00:08:33,679 --> 00:08:36,439 Speaker 2: go in and evacuate the baby birds before we start burning, 169 00:08:36,480 --> 00:08:39,239 Speaker 2: and we could go in there we tell the homeless. 170 00:08:39,440 --> 00:08:41,600 Speaker 2: I knew it would tell the homeless to move out 171 00:08:41,600 --> 00:08:42,440 Speaker 2: of an area. 172 00:08:42,600 --> 00:08:45,880 Speaker 1: You put out enough bait for her, I did. It's 173 00:08:45,880 --> 00:08:47,240 Speaker 1: like a little bird seat. I put it on the 174 00:08:47,240 --> 00:08:50,959 Speaker 1: ground there, bring her out of the news nest. Finally 175 00:08:51,760 --> 00:08:53,160 Speaker 1: she poked her beeek out. 176 00:08:56,080 --> 00:08:58,440 Speaker 2: We can go in there. It's probably killing other wildlife too. 177 00:08:58,480 --> 00:09:00,679 Speaker 2: I mean, when you just start burning things, how much 178 00:09:00,760 --> 00:09:03,720 Speaker 2: is getting burned? Now? Do you know how many? 179 00:09:03,840 --> 00:09:04,000 Speaker 4: You know? 180 00:09:04,040 --> 00:09:06,440 Speaker 2: How mean is California doing more. Do we know we 181 00:09:06,480 --> 00:09:08,640 Speaker 2: have to look into that topic again because that was 182 00:09:08,640 --> 00:09:11,160 Speaker 2: a big thing in twenty twenty, and I think Newsom 183 00:09:11,200 --> 00:09:13,440 Speaker 2: said we were going to But then again, remember he 184 00:09:13,520 --> 00:09:16,680 Speaker 2: lied about the acreage. Remember that year he lies a lot, 185 00:09:17,320 --> 00:09:19,600 Speaker 2: died about the acreage that was controlled burned at one 186 00:09:19,640 --> 00:09:21,800 Speaker 2: of his speeches at the beginning of the year. 187 00:09:22,000 --> 00:09:26,520 Speaker 1: A couple of years back, twelve thousand and seven hundred 188 00:09:26,520 --> 00:09:30,560 Speaker 1: and forty one square miles of forest and land has 189 00:09:30,760 --> 00:09:35,600 Speaker 1: burned in the last six weeks twelve thousand. I heard 190 00:09:35,640 --> 00:09:37,360 Speaker 1: somebody say it was it was the size of two 191 00:09:37,360 --> 00:09:38,480 Speaker 1: New Jerseys. 192 00:09:39,040 --> 00:09:39,439 Speaker 2: Wow. 193 00:09:40,160 --> 00:09:42,240 Speaker 1: So there's a lot of birds in there, a lot 194 00:09:42,280 --> 00:09:46,840 Speaker 1: of cooked birds. We cooked everything else. All right, we 195 00:09:46,920 --> 00:09:49,360 Speaker 1: got more coming up and done something. What can I do? 196 00:09:49,679 --> 00:09:49,800 Speaker 4: Uh? 197 00:09:49,840 --> 00:09:52,800 Speaker 2: You should have been up there collecting baby birds. Would 198 00:09:52,800 --> 00:09:54,319 Speaker 2: if I could hearing the nests. 199 00:09:54,160 --> 00:09:58,600 Speaker 1: Out of the burning forest. You're walking along, Yes, as 200 00:09:58,640 --> 00:09:59,920 Speaker 1: he climb it climbed the trees. 201 00:10:00,160 --> 00:10:03,520 Speaker 3: We need more goats, right, Let's let's have the goats 202 00:10:03,559 --> 00:10:07,160 Speaker 3: clear out all the rush, Yes, exactly, and then nobody's. 203 00:10:06,800 --> 00:10:09,520 Speaker 2: Hurt, but the goats to work. They enjoy doing that. Yeah, 204 00:10:09,559 --> 00:10:11,720 Speaker 2: they need a billion goats and some of the areas 205 00:10:11,720 --> 00:10:14,880 Speaker 2: of Canada are vast. You need a billion goats. All right, 206 00:10:14,920 --> 00:10:18,319 Speaker 2: Johnny KENKFI AIM six forty live everywhere iHeartRadio app. 207 00:10:19,160 --> 00:10:22,520 Speaker 5: You're listening to John and Ken on demand from KFI 208 00:10:22,760 --> 00:10:23,959 Speaker 5: AM six forty. 209 00:10:25,320 --> 00:10:27,480 Speaker 1: On the air one till four and then after four 210 00:10:27,480 --> 00:10:30,280 Speaker 1: o'clock the iHeart app for the John and Ken on 211 00:10:30,400 --> 00:10:31,359 Speaker 1: demand podcast. 212 00:10:31,760 --> 00:10:33,760 Speaker 2: We'd love to hear from you through the Moist line. 213 00:10:33,960 --> 00:10:37,320 Speaker 2: Leave your message with that iHeartRadio app the microphone icon. 214 00:10:37,480 --> 00:10:39,920 Speaker 2: That's the way to do it easy. You can also 215 00:10:39,960 --> 00:10:42,480 Speaker 2: call the toll free number one eight seven seven Moist 216 00:10:42,520 --> 00:10:46,400 Speaker 2: eighty six one eight seven seven six six four seven 217 00:10:46,520 --> 00:10:50,560 Speaker 2: eight eight six and we play those calls tomorrow during 218 00:10:50,600 --> 00:10:53,600 Speaker 2: the three o'clock hour. All right, Coming up after one 219 00:10:53,600 --> 00:10:56,560 Speaker 2: point thirty, Carl Demiel will join us. He wants to 220 00:10:56,600 --> 00:10:59,680 Speaker 2: talk about a report that came out something called the 221 00:10:59,720 --> 00:11:05,600 Speaker 2: trans Parentcy Foundation, a nonpartisan group that apparently took a 222 00:11:05,600 --> 00:11:09,959 Speaker 2: look at California's voting system and didn't give good grades 223 00:11:10,240 --> 00:11:13,280 Speaker 2: on a lot of things like voter fraud, voter lists, 224 00:11:13,520 --> 00:11:16,800 Speaker 2: signature reviews, and voter suppression. He'll tell us what was 225 00:11:16,840 --> 00:11:19,040 Speaker 2: in this report and just how important it is that 226 00:11:19,080 --> 00:11:22,400 Speaker 2: you learn more coming up after the news at one 227 00:11:22,400 --> 00:11:25,600 Speaker 2: point thirty Well, the story must be big, as you know, 228 00:11:25,960 --> 00:11:28,080 Speaker 2: usually it's in May. I mean we're in June now, 229 00:11:28,760 --> 00:11:33,199 Speaker 2: where the local television stations assigned reporters to special tasks 230 00:11:33,320 --> 00:11:35,920 Speaker 2: to go and investigate more in depth. It's not gonna 231 00:11:35,920 --> 00:11:37,400 Speaker 2: be a thirty second story. It's going to be like 232 00:11:37,480 --> 00:11:40,199 Speaker 2: a three four minute report that they come back with. 233 00:11:40,280 --> 00:11:42,160 Speaker 2: I mean David Goldstein, for instance, who's been on our 234 00:11:42,240 --> 00:11:45,400 Speaker 2: sow many times and does great investigative reporting for CBS 235 00:11:45,400 --> 00:11:48,400 Speaker 2: two and KKEL nine. So what I'm saying here is 236 00:11:48,480 --> 00:11:51,520 Speaker 2: this must have been a big idea because they sent 237 00:11:51,640 --> 00:11:56,840 Speaker 2: one of the longest running television anchors in southern California 238 00:11:56,880 --> 00:11:59,040 Speaker 2: to do it. To actually and what did he do? 239 00:11:59,600 --> 00:12:01,200 Speaker 2: He wrote the Metro train. 240 00:12:01,920 --> 00:12:04,440 Speaker 1: Whoa put his life on the put his life on 241 00:12:04,520 --> 00:12:05,560 Speaker 1: the line for Jerdan. 242 00:12:05,840 --> 00:12:08,080 Speaker 2: That's what they wanted to find out. He rode the 243 00:12:08,120 --> 00:12:11,200 Speaker 2: Red Line. This is ABC seven's Mark Brown. Let's listen. 244 00:12:11,360 --> 00:12:13,400 Speaker 4: We've done a lot of stories lately about the Metro's 245 00:12:13,480 --> 00:12:16,880 Speaker 4: Red Line subway that runs between downtown and North Hollywood. 246 00:12:16,920 --> 00:12:20,240 Speaker 4: The LAPD reports violent crime, which dipped during the pandemic, 247 00:12:20,320 --> 00:12:22,800 Speaker 4: has more than doubled since twenty twenty, and although the 248 00:12:22,840 --> 00:12:26,480 Speaker 4: Red Line accounts for only about ten percent of Metro's ridership, 249 00:12:26,559 --> 00:12:29,440 Speaker 4: it accounts for about a third of the system's violent crime. 250 00:12:29,559 --> 00:12:31,560 Speaker 4: So I decided to take a look for myself, no 251 00:12:31,640 --> 00:12:34,080 Speaker 4: camera crew, just an iPhone to see what it's like 252 00:12:34,240 --> 00:12:35,360 Speaker 4: to ride the Red Line. 253 00:12:35,400 --> 00:12:36,800 Speaker 2: Oh you, sir, how are you doing? 254 00:12:37,120 --> 00:12:40,880 Speaker 4: Thursday morning, eleven am outside the North Hollywood Metro station, 255 00:12:41,000 --> 00:12:43,840 Speaker 4: I saw two LA Police officers, part of the department's 256 00:12:43,840 --> 00:12:46,760 Speaker 4: beefed up presence around the Metro system. It comes after 257 00:12:46,800 --> 00:12:49,839 Speaker 4: a surge in violence on the Red Line, two stabbings 258 00:12:49,840 --> 00:12:52,480 Speaker 4: and two murders on or near Red Line stations. The 259 00:12:52,520 --> 00:12:55,160 Speaker 4: agency's head of security says, some of those officers from 260 00:12:55,160 --> 00:12:57,760 Speaker 4: the LAPDE, the Sheriff's Department, and the Long Beach PD 261 00:12:58,320 --> 00:12:59,720 Speaker 4: do ride on the trains. 262 00:13:00,080 --> 00:13:02,040 Speaker 6: If you're in one car and they're in a different 263 00:13:02,080 --> 00:13:05,040 Speaker 6: car from you, you wouldn't see them. But we do 264 00:13:05,160 --> 00:13:07,280 Speaker 6: have the law enforcement riding on the train. 265 00:13:07,679 --> 00:13:10,080 Speaker 4: The Red Line, or B Line as it's now called, 266 00:13:10,080 --> 00:13:13,600 Speaker 4: stretches sixteen point four miles from North Hollywood to Union Station, 267 00:13:13,760 --> 00:13:17,000 Speaker 4: with a total of fourteen stops. Thirty minutes into my ride. 268 00:13:17,040 --> 00:13:20,800 Speaker 4: A woman gets on, starts acting erratically, talking gibberish, cursing 269 00:13:20,960 --> 00:13:29,400 Speaker 4: and threatening other passengers. Passengers around me clearly unsettled. But 270 00:13:29,520 --> 00:13:32,480 Speaker 4: unlike other subway systems, the red line isn't built to 271 00:13:32,559 --> 00:13:35,040 Speaker 4: allow you to move to another car. The thing about 272 00:13:35,040 --> 00:13:38,200 Speaker 4: incidents like that one is that you're stuck. If this 273 00:13:38,240 --> 00:13:40,480 Speaker 4: had happened on the street, on a sidewalk, you could 274 00:13:40,520 --> 00:13:43,880 Speaker 4: have walked away, walked around or whatever. But you're stuck 275 00:13:43,920 --> 00:13:47,200 Speaker 4: inside this metal tube and you can't get away until 276 00:13:47,240 --> 00:13:49,760 Speaker 4: the next stop. Guy's ever worried for your safety at all? 277 00:13:50,600 --> 00:13:56,319 Speaker 2: Uncle? What do you think would have helped right there? 278 00:13:56,559 --> 00:13:58,240 Speaker 3: What would have helped make it better? 279 00:14:01,200 --> 00:14:05,199 Speaker 4: I'll think anywhere I saw law enforcement officers on three platforms, 280 00:14:05,240 --> 00:14:08,400 Speaker 4: along with armed private security guards. Part of what Metro 281 00:14:08,520 --> 00:14:12,520 Speaker 4: calls its multi layered approach to security are its transit ambassadors, 282 00:14:12,600 --> 00:14:15,880 Speaker 4: unarmed representatives trained to help passengers find their way around 283 00:14:15,920 --> 00:14:18,920 Speaker 4: with no security training or equipment. If something happens, they 284 00:14:18,960 --> 00:14:21,680 Speaker 4: don't have walkie talkies to summon law enforcement. They can 285 00:14:21,760 --> 00:14:24,040 Speaker 4: call nine one one on their cell phones or use 286 00:14:24,080 --> 00:14:26,440 Speaker 4: a Metro app to call for help, just like any 287 00:14:26,480 --> 00:14:29,480 Speaker 4: other passenger. There was no security present on this car 288 00:14:29,600 --> 00:14:32,520 Speaker 4: during that woman's outburst, nor was there anyone there when 289 00:14:32,520 --> 00:14:34,880 Speaker 4: this man who appeared to be under the influence, pulled 290 00:14:34,880 --> 00:14:37,920 Speaker 4: out a sharpie and started tagging a seat, later pulling 291 00:14:37,960 --> 00:14:40,840 Speaker 4: out a pipe, I saw and smelled smoke that I 292 00:14:40,880 --> 00:14:44,680 Speaker 4: could not identify, either tobacco nor marijuana. A man was 293 00:14:44,680 --> 00:14:47,640 Speaker 4: asleep on the seat where the smoke came from. In fact, 294 00:14:47,640 --> 00:14:50,320 Speaker 4: by now several people were sleeping on this car at 295 00:14:50,360 --> 00:14:53,200 Speaker 4: one in the afternoon during my two hour ride. I 296 00:14:53,280 --> 00:14:55,800 Speaker 4: was never in outright fear for my safety, but I 297 00:14:55,880 --> 00:14:57,440 Speaker 4: was never fully comfortable either. 298 00:14:57,600 --> 00:14:59,320 Speaker 2: Would you take your family on a. 299 00:14:59,320 --> 00:15:02,280 Speaker 6: Ride on the Red I would, And I'm on the station. 300 00:15:03,120 --> 00:15:05,960 Speaker 6: I'm on the system frequently. I'm not saying we don't 301 00:15:05,960 --> 00:15:09,040 Speaker 6: have challenges, but what I am saying is that we're 302 00:15:09,080 --> 00:15:11,360 Speaker 6: working on the issues that we have, and we are 303 00:15:11,400 --> 00:15:13,280 Speaker 6: working to make our system safer. 304 00:15:13,560 --> 00:15:15,920 Speaker 4: A crackdown on drug use on the Metro Red and 305 00:15:15,960 --> 00:15:18,480 Speaker 4: Purple lines has led to three hundred and thirty drug 306 00:15:18,560 --> 00:15:22,120 Speaker 4: related arrests and an eighteen percent decrease and passenger complaints 307 00:15:22,120 --> 00:15:25,000 Speaker 4: about drug use on the subway. Meanwhile, Mayor Karen vass 308 00:15:25,080 --> 00:15:28,479 Speaker 4: is exploring whether a dedicated Metro police force might streamline 309 00:15:28,520 --> 00:15:31,720 Speaker 4: law enforcement tactics and communication on the entire system. 310 00:15:32,880 --> 00:15:35,960 Speaker 2: I tried to look her up. That was a Metro woman. Yeah, 311 00:15:36,000 --> 00:15:39,040 Speaker 2: who was that? Little oh? I had the story yesterday. 312 00:15:39,040 --> 00:15:41,760 Speaker 2: I don't have it right now, but I think she 313 00:15:41,840 --> 00:15:44,440 Speaker 2: was an official with Metro, one of their safety officials 314 00:15:44,520 --> 00:15:47,000 Speaker 2: or something like that. KO saw this yesterday. She should 315 00:15:47,000 --> 00:15:47,920 Speaker 2: be forced to prove that. 316 00:15:47,960 --> 00:15:49,840 Speaker 1: I want to see you take your family on a 317 00:15:49,840 --> 00:15:51,800 Speaker 1: Metro train and do it every day for a month. 318 00:15:53,240 --> 00:15:54,840 Speaker 2: I did. Heally wrote the train. I don't know how 319 00:15:54,840 --> 00:15:56,880 Speaker 2: long he wrote it there, but he ran into somebody 320 00:15:56,920 --> 00:16:00,360 Speaker 2: with a suspicious smoke and then a crazy woman, right, 321 00:16:00,400 --> 00:16:05,360 Speaker 2: I mean that's enough to keep me off forever. Yeah. Absolutely. 322 00:16:05,680 --> 00:16:10,720 Speaker 1: And that first few seconds when he said there's no 323 00:16:10,800 --> 00:16:14,600 Speaker 1: way to leave the train car. You're stuck in that tube, 324 00:16:14,760 --> 00:16:20,360 Speaker 1: and I thought, exactly, I've taken that maybe twice in 325 00:16:20,440 --> 00:16:22,840 Speaker 1: all the time I've lived out here, so I just 326 00:16:22,840 --> 00:16:24,760 Speaker 1: didn't occur to me. It's like, Wow, there is no 327 00:16:24,840 --> 00:16:27,360 Speaker 1: way out. You can't just open the doors and move 328 00:16:27,400 --> 00:16:30,320 Speaker 1: to the next car, which you can do on many trains, 329 00:16:30,720 --> 00:16:33,080 Speaker 1: but so you are. You are stuck in a tube 330 00:16:33,400 --> 00:16:36,760 Speaker 1: with a lunatic or some guy smoking some you know, 331 00:16:36,920 --> 00:16:39,720 Speaker 1: toxic drug and that drug in a few minutes is 332 00:16:39,760 --> 00:16:43,160 Speaker 1: gonna make him insane. Right if he's doing crystal meth, 333 00:16:43,560 --> 00:16:47,560 Speaker 1: Oh good luck. So no, never go, never go on 334 00:16:47,560 --> 00:16:51,240 Speaker 1: the Metro trains. I think, you know, people should stop 335 00:16:51,320 --> 00:16:53,800 Speaker 1: using it. Make them go out of business, because we 336 00:16:53,880 --> 00:16:56,520 Speaker 1: spend billions of dollars every year. They're busy building more 337 00:16:56,560 --> 00:17:01,400 Speaker 1: and more lines and extending lines. And it's on Wilship 338 00:17:01,400 --> 00:17:03,520 Speaker 1: Boulevard now on the west side. I'm thinking, man, this 339 00:17:03,640 --> 00:17:06,160 Speaker 1: is a freaking waste and it's going to bring all 340 00:17:06,200 --> 00:17:09,080 Speaker 1: these drug addicted lunatics to my side of town. 341 00:17:09,480 --> 00:17:12,200 Speaker 2: That's what one of the lines did to Santa Monica. 342 00:17:12,400 --> 00:17:16,360 Speaker 1: Became a dumping ground for the insane and the drug addicted, 343 00:17:17,080 --> 00:17:19,119 Speaker 1: and so now it's closer to my house. 344 00:17:21,400 --> 00:17:25,280 Speaker 2: From today's reporting, a man in his twenties was found 345 00:17:25,359 --> 00:17:29,320 Speaker 2: dead Thursday, that's today, following a stabbing at an intersection 346 00:17:29,359 --> 00:17:32,159 Speaker 2: in East LA. The body was found in the street 347 00:17:32,200 --> 00:17:35,639 Speaker 2: on the Metro Gold Line tracks north of the Indiana Station. 348 00:17:35,760 --> 00:17:39,960 Speaker 2: Parking ride service was stopped. No arrest reported. Police investigating 349 00:17:39,960 --> 00:17:41,800 Speaker 2: the stabbing, so don't know whether or not he was 350 00:17:41,800 --> 00:17:44,640 Speaker 2: actually on the training got stabbed. Or just ended up 351 00:17:45,000 --> 00:17:47,640 Speaker 2: staggering onto the tracks after he was stabbed somewhere else. 352 00:17:47,680 --> 00:17:52,679 Speaker 2: But there's another report today on a Metro affiliated to 353 00:17:52,840 --> 00:17:53,640 Speaker 2: piece of violence. 354 00:17:53,760 --> 00:17:57,520 Speaker 1: Oh the woman who is talking at the end, Yeah, 355 00:17:57,720 --> 00:18:01,680 Speaker 1: Gina Osbourne, chief safety officer, that's right. 356 00:18:01,720 --> 00:18:05,200 Speaker 2: I knew she was something to do with Metro security. Yeah, yeah, 357 00:18:05,280 --> 00:18:07,560 Speaker 2: I like the way she couched that. No, I would 358 00:18:07,560 --> 00:18:09,879 Speaker 2: have no problem taking my family on the line. We 359 00:18:09,960 --> 00:18:14,439 Speaker 2: have challenges, Yeah, we have challenges. Yeah, you know whatever. 360 00:18:14,640 --> 00:18:17,119 Speaker 2: You always point out the vocabulary, man, now is just 361 00:18:17,200 --> 00:18:20,719 Speaker 2: so so people just have to the're coming with new 362 00:18:20,760 --> 00:18:22,639 Speaker 2: ways to phrase things, to soften things. 363 00:18:22,800 --> 00:18:25,800 Speaker 1: Wait, and when somebody uses phrases like that, it means 364 00:18:25,960 --> 00:18:28,080 Speaker 1: they're full of crap. A right, So Gina Osborne's full 365 00:18:28,119 --> 00:18:29,160 Speaker 1: of crap. We have challenges. 366 00:18:29,280 --> 00:18:31,000 Speaker 2: There was a guy. I want to know. What happened 367 00:18:31,040 --> 00:18:33,480 Speaker 2: to the guy that was set on fire? We don't 368 00:18:33,520 --> 00:18:35,479 Speaker 2: hear about that, do we? Woman walked up to him. 369 00:18:35,560 --> 00:18:37,600 Speaker 2: Was it last year, last summer year? I think it 370 00:18:37,640 --> 00:18:38,840 Speaker 2: was last year. Last year? 371 00:18:39,119 --> 00:18:42,000 Speaker 1: Somebody walks up and sets him on fire. Whatever happened 372 00:18:42,040 --> 00:18:44,919 Speaker 1: to that guy? Nobody talks about it. Did they arrest 373 00:18:44,920 --> 00:18:48,080 Speaker 1: the person? Did the person go to prison? Did the 374 00:18:48,080 --> 00:18:49,040 Speaker 1: Guy lived? 375 00:18:49,160 --> 00:18:49,320 Speaker 2: Yeah? 376 00:18:49,359 --> 00:18:53,200 Speaker 1: Did the Guy live? Would you like the day after 377 00:18:53,280 --> 00:18:55,800 Speaker 1: that happens? Would Geina Osborne take her family on the train? 378 00:18:55,920 --> 00:18:55,960 Speaker 3: No? 379 00:18:56,400 --> 00:18:59,200 Speaker 2: Of course? All right. Coming up next, we'll be talking 380 00:18:59,240 --> 00:19:02,000 Speaker 2: to Carl Dubayo once again with of course the Reform 381 00:19:02,080 --> 00:19:05,600 Speaker 2: California and he's also a talk show host in San Diego. 382 00:19:05,680 --> 00:19:09,439 Speaker 2: He's going to talk about this report on California voter fraud. 383 00:19:09,800 --> 00:19:13,520 Speaker 2: Johnny Ken I AM six forty Live everywhere iHeartRadio app. 384 00:19:14,600 --> 00:19:18,040 Speaker 5: You're listening to John and Ken on demand from KFI 385 00:19:18,200 --> 00:19:19,480 Speaker 5: AM six forty. 386 00:19:21,280 --> 00:19:23,679 Speaker 1: On the air one till four after four o'clock. Johnny 387 00:19:23,680 --> 00:19:26,359 Speaker 1: can on de med podcast. Catch up on what you missed. 388 00:19:27,040 --> 00:19:29,439 Speaker 2: Yeah. Well, we're going to talk now, as we do 389 00:19:29,520 --> 00:19:32,720 Speaker 2: every now and then, about the California's voter system. The 390 00:19:32,760 --> 00:19:36,520 Speaker 2: headline is California got a failing grade on a report 391 00:19:37,240 --> 00:19:41,280 Speaker 2: after an audit finds evidence of voter fraud, inaccurate voter lists, 392 00:19:41,320 --> 00:19:46,359 Speaker 2: inadequate signature reviews, voter suppression, all of these things. Let's 393 00:19:46,359 --> 00:19:51,200 Speaker 2: bring on Carl Demayo, who's with the Transparency Foundation described 394 00:19:51,200 --> 00:19:55,240 Speaker 2: here as nonpartisan, which put out this audit, this report. Carl, 395 00:19:55,280 --> 00:19:55,760 Speaker 2: how are you? 396 00:19:56,840 --> 00:19:59,840 Speaker 3: Thanks, guys for having me on. And let me start 397 00:19:59,840 --> 00:20:03,280 Speaker 3: out by saying, I do not believe in conspiracy theories. 398 00:20:03,560 --> 00:20:07,320 Speaker 3: I always say you need to speak with facts and 399 00:20:07,480 --> 00:20:11,320 Speaker 3: data and evidence, and this report is really a bombshell 400 00:20:11,600 --> 00:20:14,200 Speaker 3: and it confirms a lot of the concerns that people 401 00:20:14,240 --> 00:20:18,200 Speaker 3: have from all across the political spectrum Democrats, Independence, and Republicans. 402 00:20:18,240 --> 00:20:22,639 Speaker 3: And so let me start there. California has the worst 403 00:20:22,640 --> 00:20:25,080 Speaker 3: election process in the country. This is according to the 404 00:20:25,119 --> 00:20:29,679 Speaker 3: Transparency Foundation. They have a ten point assessment methodology that 405 00:20:29,800 --> 00:20:32,560 Speaker 3: looks at everything from how does the state maintain their 406 00:20:32,640 --> 00:20:35,879 Speaker 3: voter roles, to whether they do signature reviews and verification 407 00:20:35,960 --> 00:20:39,639 Speaker 3: of identity, to whether it's easy to vote on election 408 00:20:39,760 --> 00:20:42,440 Speaker 3: day or whether there's not enough polling stations. So they 409 00:20:42,480 --> 00:20:46,760 Speaker 3: took this ten point methodology and California failed nine out 410 00:20:46,760 --> 00:20:51,160 Speaker 3: of ten of the criteria. And worse than that what 411 00:20:51,200 --> 00:20:54,000 Speaker 3: the audit found because they did an audit of the election. 412 00:20:54,320 --> 00:20:57,680 Speaker 3: They found that the voter rules are not properly maintained. 413 00:20:57,720 --> 00:20:59,840 Speaker 3: There's millions of people on the voter roles that moved 414 00:20:59,840 --> 00:21:03,040 Speaker 3: out of the state are no longer eligible voters. They 415 00:21:03,119 --> 00:21:07,080 Speaker 3: found fifty six percent of ballots that were rejected for 416 00:21:07,440 --> 00:21:12,560 Speaker 3: bad signatures were not verified by the voters who allegedly 417 00:21:12,640 --> 00:21:17,240 Speaker 3: cast them, despite repeated contact by the county election office 418 00:21:17,280 --> 00:21:22,080 Speaker 3: with those voters. Then the audit team actually found some 419 00:21:22,200 --> 00:21:25,040 Speaker 3: of those people who did not verify that the ballot 420 00:21:25,080 --> 00:21:28,600 Speaker 3: was theirs and actually did interviews with them and found 421 00:21:28,600 --> 00:21:32,240 Speaker 3: that fourteen point one seven percent of them denied ever voting. 422 00:21:32,400 --> 00:21:34,920 Speaker 3: So here you have a ballot, the signature doesn't match, 423 00:21:35,000 --> 00:21:39,560 Speaker 3: it's rejected, and you've got the voters saying, I moved 424 00:21:39,560 --> 00:21:42,240 Speaker 3: out of the state, I didn't vote. I don't know 425 00:21:42,280 --> 00:21:45,760 Speaker 3: why someone returned that because it's not me. And so 426 00:21:46,240 --> 00:21:49,000 Speaker 3: what we're seeing here is clear evidence of a weak 427 00:21:49,160 --> 00:21:52,919 Speaker 3: system that produces fraud. How much fraud we don't know, 428 00:21:53,080 --> 00:21:56,480 Speaker 3: but there is fraud that's proven in this audit and 429 00:21:56,520 --> 00:21:58,520 Speaker 3: that needs to be addressed and it shouldn't be a 430 00:21:58,560 --> 00:22:00,880 Speaker 3: part of an issue that should be a by artisan issue. 431 00:22:01,840 --> 00:22:05,639 Speaker 1: Why is it so difficult to maintain an accurate voting list? 432 00:22:07,000 --> 00:22:10,040 Speaker 1: I'm always it's just a stupid laziness. They just don't 433 00:22:10,080 --> 00:22:10,840 Speaker 1: feel like working. 434 00:22:12,080 --> 00:22:15,879 Speaker 3: No, No, it's actually in some counties it could be 435 00:22:15,960 --> 00:22:19,280 Speaker 3: incompetence and laziness, Like LA has the worst registrar or 436 00:22:19,320 --> 00:22:21,520 Speaker 3: voter in the nation. Okay, I can tell you that 437 00:22:21,600 --> 00:22:25,480 Speaker 3: right now. But the state of California Democrat Secretary of 438 00:22:25,520 --> 00:22:30,280 Speaker 3: State actually issues regulations to county election offices on what 439 00:22:30,320 --> 00:22:32,520 Speaker 3: they can and cannot do to clean up their list, 440 00:22:33,359 --> 00:22:37,560 Speaker 3: and the regulations make it impossible to maintain an accurate list. 441 00:22:38,400 --> 00:22:41,080 Speaker 3: Another thing that's not being done by the counties is 442 00:22:41,080 --> 00:22:44,919 Speaker 3: that under federal law, they're supposed to put voters who 443 00:22:44,960 --> 00:22:49,200 Speaker 3: don't vote in successive elections into a file called inactive voters, 444 00:22:49,800 --> 00:22:52,720 Speaker 3: and the county is supposed to then reach out to 445 00:22:52,760 --> 00:22:55,000 Speaker 3: the voter to find out if they're still at that 446 00:22:55,800 --> 00:22:58,679 Speaker 3: place of residence. They haven't been doing that, and that 447 00:22:58,760 --> 00:23:01,480 Speaker 3: led to Los Angeles County getting sued for having over 448 00:23:01,520 --> 00:23:06,600 Speaker 3: a million ineligible voters on their roles just two years ago. 449 00:23:07,359 --> 00:23:10,760 Speaker 3: We also know that the Secretary of State is making 450 00:23:10,760 --> 00:23:16,440 Speaker 3: it impossible for county offices to reject signatures. And here's 451 00:23:16,480 --> 00:23:18,280 Speaker 3: the subject of a lawsuit that I think will be 452 00:23:18,320 --> 00:23:22,080 Speaker 3: filed shortly. On the basis of this audit, our auditors 453 00:23:22,160 --> 00:23:25,560 Speaker 3: looked at the signature rejection rate in each of the counties, 454 00:23:26,160 --> 00:23:30,360 Speaker 3: and in California, the regulations are so bad and these 455 00:23:30,400 --> 00:23:33,720 Speaker 3: election offices are so uneven in terms of their quality 456 00:23:34,320 --> 00:23:39,440 Speaker 3: that Sacramento County rejected four hundred and thirty eight percent 457 00:23:39,840 --> 00:23:45,760 Speaker 3: fewer signatures than the state average. So if you have 458 00:23:45,960 --> 00:23:51,000 Speaker 3: this wide disparity of signature reviews, it raises a concern 459 00:23:51,119 --> 00:23:53,919 Speaker 3: that there's no equal protection and DOE process in the 460 00:23:53,920 --> 00:23:56,520 Speaker 3: state wide election. So there are a lot of problems here, 461 00:23:56,880 --> 00:24:00,480 Speaker 3: and the media does not want to acknowledge this, But 462 00:24:00,560 --> 00:24:04,280 Speaker 3: the polling shows sixty percent of Californians, according to the 463 00:24:04,320 --> 00:24:08,280 Speaker 3: Berkeley IGS poll from November twenty two, twenty twenty two, 464 00:24:08,560 --> 00:24:13,600 Speaker 3: sixty percent of Californians Democrats, Independence and Republicans they have 465 00:24:13,720 --> 00:24:17,160 Speaker 3: concerns about voter fraud and they think the system could 466 00:24:17,240 --> 00:24:18,080 Speaker 3: lead the voter fraud. 467 00:24:18,200 --> 00:24:18,760 Speaker 4: Since we have. 468 00:24:20,280 --> 00:24:23,600 Speaker 1: Millions of illegal aliens in the state, is there any 469 00:24:23,640 --> 00:24:27,080 Speaker 1: sense of how many of those are voting or how 470 00:24:27,160 --> 00:24:29,280 Speaker 1: many are using those identities. 471 00:24:30,880 --> 00:24:31,600 Speaker 3: It's a good question. 472 00:24:31,760 --> 00:24:32,320 Speaker 2: I'll fake that. 473 00:24:33,920 --> 00:24:38,440 Speaker 3: So we did have actual evidence in proof that illegal 474 00:24:38,480 --> 00:24:41,960 Speaker 3: immigrants have been registered to vote and they are getting ballots. 475 00:24:42,400 --> 00:24:45,600 Speaker 3: We had an election hotline where people could actually take 476 00:24:45,640 --> 00:24:50,680 Speaker 3: pictures of their ballots, report erroneous ballots, and one business 477 00:24:50,680 --> 00:24:53,560 Speaker 3: owner in San Diego sent a picture of a ballot 478 00:24:53,600 --> 00:24:56,600 Speaker 3: to an employee who is an illegal immigrant. The person 479 00:24:56,720 --> 00:25:02,320 Speaker 3: lives in Tijuana actually, and they work in San Diego, 480 00:25:02,880 --> 00:25:06,840 Speaker 3: and the ballot went to the place of business as 481 00:25:06,840 --> 00:25:10,120 Speaker 3: though they were a registered voter, and the person's again 482 00:25:10,200 --> 00:25:12,280 Speaker 3: not a citizen. Another thing that we know is not 483 00:25:12,400 --> 00:25:16,359 Speaker 3: happening is when you get a jury summons. The list 484 00:25:16,400 --> 00:25:19,600 Speaker 3: that the jury commissioner in each county uses to summon 485 00:25:19,720 --> 00:25:23,440 Speaker 3: you to come serve on jury service is a jury 486 00:25:23,520 --> 00:25:28,240 Speaker 3: duty is the voter registration list. And the first box 487 00:25:28,280 --> 00:25:30,720 Speaker 3: that you can check as to excuses as to why 488 00:25:30,760 --> 00:25:33,320 Speaker 3: you don't get to serve on the jury is that 489 00:25:33,359 --> 00:25:36,359 Speaker 3: you're not a US citizen. Well, the jury commissioners in 490 00:25:36,520 --> 00:25:39,040 Speaker 3: each of the counties we asked them for this this data, 491 00:25:39,119 --> 00:25:43,560 Speaker 3: they refuse to provide a list of people who said 492 00:25:43,560 --> 00:25:47,120 Speaker 3: that they were illegal immigrants and not citizens. Again, the 493 00:25:47,160 --> 00:25:50,879 Speaker 3: only list the jury commissioner uses is the voter registration list. 494 00:25:50,960 --> 00:25:53,960 Speaker 3: And yet the number one box that's being checked is 495 00:25:54,160 --> 00:25:55,680 Speaker 3: I'm not a citizen. 496 00:25:56,080 --> 00:25:58,560 Speaker 2: But they're on the voter rolls, but they're on the 497 00:25:58,640 --> 00:25:59,960 Speaker 2: vote intation. 498 00:26:01,119 --> 00:26:03,280 Speaker 3: Yeah. Now the Democrats will say, is well, it doesn't 499 00:26:03,320 --> 00:26:08,439 Speaker 3: mean they're voting. Okay, knowledge that sure, you know, you 500 00:26:08,440 --> 00:26:11,119 Speaker 3: know an open bank, you know with open cash registers. 501 00:26:11,160 --> 00:26:13,800 Speaker 3: It doesn't mean that you know the money be stolen tonight, 502 00:26:13,880 --> 00:26:14,840 Speaker 3: but eventually it will be. 503 00:26:14,960 --> 00:26:19,160 Speaker 1: What about ballot harvesting, because I find just the concept 504 00:26:19,200 --> 00:26:23,120 Speaker 1: to be preposterous. I mean, I just yeah, I would 505 00:26:23,200 --> 00:26:26,359 Speaker 1: just assume that that is a major source of fraud. 506 00:26:28,000 --> 00:26:31,879 Speaker 3: It certainly opens the door wider to fraud. Okay, so 507 00:26:32,119 --> 00:26:35,560 Speaker 3: think about this. You have a voter list that's not maintained, 508 00:26:35,720 --> 00:26:37,960 Speaker 3: you have illegal immigrants that are being put on the 509 00:26:38,040 --> 00:26:40,560 Speaker 3: voter rolls because of motor voter. Then you do an 510 00:26:40,560 --> 00:26:43,640 Speaker 3: all mail out ballot. Okay, so everyone everyone's getting mail 511 00:26:43,640 --> 00:26:47,240 Speaker 3: in ballots that are mailed out. These are all floating around. 512 00:26:47,640 --> 00:26:50,680 Speaker 3: I call them orphan ballots at that point, because nobody 513 00:26:50,720 --> 00:26:53,600 Speaker 3: has chain of custody. Then you empower people to go 514 00:26:53,640 --> 00:26:56,080 Speaker 3: out with hoover vacuum machines and suck up the ballots 515 00:26:56,080 --> 00:27:00,359 Speaker 3: through ballot harvesting. Then you don't check the signatures, and 516 00:27:00,840 --> 00:27:03,439 Speaker 3: what do you have. You've got this process that is 517 00:27:03,480 --> 00:27:07,680 Speaker 3: begging for fraud. And again, I want to restore confidence 518 00:27:07,720 --> 00:27:11,520 Speaker 3: and democracy. I want people to trust that their vote counts. 519 00:27:11,560 --> 00:27:14,639 Speaker 3: And that no impropriety is occurring, and this is a 520 00:27:14,640 --> 00:27:17,520 Speaker 3: bipartisan issue. It should be a bipartisan issue. Shame on 521 00:27:17,600 --> 00:27:20,679 Speaker 3: the liberal media for ignoring this. Shame on the Democrats 522 00:27:20,720 --> 00:27:25,960 Speaker 3: for making they're. 523 00:27:23,760 --> 00:27:26,760 Speaker 1: Winning by such huge margins in California. There are not 524 00:27:27,080 --> 00:27:30,320 Speaker 1: many competitive elections anymore in the state. This is like 525 00:27:30,840 --> 00:27:34,600 Speaker 1: the Soviet Union now or Saddam Hussein's Iraq. Everyone who's 526 00:27:34,600 --> 00:27:37,320 Speaker 1: supposed to win wins and wins by big margins. So 527 00:27:37,600 --> 00:27:41,240 Speaker 1: there's no incentive to run a clean election because. 528 00:27:41,200 --> 00:27:41,840 Speaker 2: It works for that. 529 00:27:42,320 --> 00:27:44,200 Speaker 1: And I just got to assume that all the people 530 00:27:44,240 --> 00:27:47,080 Speaker 1: on the inside, they know all the things that you 531 00:27:47,280 --> 00:27:48,120 Speaker 1: have listed here. 532 00:27:48,200 --> 00:27:50,680 Speaker 2: They know it, they don't care. They like it this way. 533 00:27:52,240 --> 00:27:54,040 Speaker 3: We talked to a lot of there's a lot of 534 00:27:54,040 --> 00:27:57,399 Speaker 3: good people though that we talked to who all of 535 00:27:57,440 --> 00:28:00,520 Speaker 3: our interviews were not for attribution. We talk the county 536 00:28:00,560 --> 00:28:04,359 Speaker 3: elections officials. They shared their frustration with the process because 537 00:28:04,400 --> 00:28:06,040 Speaker 3: they want to do a good job, they want to 538 00:28:06,080 --> 00:28:09,680 Speaker 3: have a high integrity election, but they continually point to 539 00:28:09,760 --> 00:28:14,040 Speaker 3: state law, state regulations, state politicians who've made it impossible. 540 00:28:14,080 --> 00:28:17,359 Speaker 3: So people can review the full report themselves, and we're 541 00:28:17,400 --> 00:28:20,840 Speaker 3: planning to do litigation. We're planning to do a follow 542 00:28:20,960 --> 00:28:23,840 Speaker 3: up audit. People can review all of this at Election 543 00:28:24,320 --> 00:28:32,440 Speaker 3: INTEGRITYCA dot com. Election integrityca dot com. We need people 544 00:28:32,480 --> 00:28:34,359 Speaker 3: to join the fight if we're going to have better 545 00:28:34,840 --> 00:28:36,119 Speaker 3: integrity in our elections. 546 00:28:36,320 --> 00:28:38,239 Speaker 2: All right, Carl, thank you very much for coming on 547 00:28:38,280 --> 00:28:40,400 Speaker 2: again and bringing our audience up to date on this. 548 00:28:40,440 --> 00:28:41,200 Speaker 2: We appreciate it. 549 00:28:42,040 --> 00:28:42,680 Speaker 3: Thanks guys. 550 00:28:43,120 --> 00:28:47,320 Speaker 2: That's Carl DeMaio with Reform California Transparency Foundation and their 551 00:28:47,320 --> 00:28:52,160 Speaker 2: audit on the California vote finding a significant to fraud rate, 552 00:28:52,240 --> 00:28:55,960 Speaker 2: particularly with people they contacted people when they're you know, 553 00:28:56,040 --> 00:28:58,040 Speaker 2: had to cure the ballots or the signatures don't match, 554 00:28:58,080 --> 00:29:00,560 Speaker 2: and some people said I never voted, that can't be me. 555 00:29:00,720 --> 00:29:02,640 Speaker 2: And there was a significant rate there of like fifteen 556 00:29:02,680 --> 00:29:05,960 Speaker 2: percent almost and I wonder how they voted, which we 557 00:29:06,200 --> 00:29:09,400 Speaker 2: got one side. That's why we're doing mailing because the 558 00:29:09,440 --> 00:29:12,080 Speaker 2: Democrats that control the state think if we throw all 559 00:29:12,080 --> 00:29:13,680 Speaker 2: the ballots out there, we're going to do better, and 560 00:29:13,720 --> 00:29:15,040 Speaker 2: it seems that they do. They do. 561 00:29:15,200 --> 00:29:18,920 Speaker 1: They have done better the lot that's when they ended 562 00:29:19,000 --> 00:29:22,000 Speaker 1: up with better than a two thirds majority in the Senate. 563 00:29:22,040 --> 00:29:22,720 Speaker 2: In the Assembly. 564 00:29:23,360 --> 00:29:26,920 Speaker 1: If you want the list of ten criteria that the 565 00:29:27,000 --> 00:29:31,680 Speaker 1: Transparency Foundation graded California on. It was a pass fail 566 00:29:31,760 --> 00:29:35,560 Speaker 1: basis for all ten public trust and confidence. They failed. 567 00:29:35,960 --> 00:29:41,440 Speaker 1: Accurate maintenance of voterless fail. Verifying identity of voters fail failed, 568 00:29:41,560 --> 00:29:46,480 Speaker 1: confirmation of eligibility and citizenship fail. Accessibility of voting fail, 569 00:29:46,760 --> 00:29:51,560 Speaker 1: Security of election systems fail, Interference in elections fail. Unbiased 570 00:29:51,600 --> 00:29:55,000 Speaker 1: and accurate ballot titles oh fail. 571 00:29:56,120 --> 00:29:56,880 Speaker 2: The one thing. 572 00:29:56,800 --> 00:30:00,520 Speaker 1: They passed was individual ballot tracking and curing. 573 00:30:02,560 --> 00:30:04,840 Speaker 2: Oh, I get, Yeah, that's what it means. After the 574 00:30:04,880 --> 00:30:07,200 Speaker 2: signatures don't match, it's curing as you could try to 575 00:30:07,200 --> 00:30:07,720 Speaker 2: find out. 576 00:30:07,600 --> 00:30:10,040 Speaker 1: What happened right right, But there then they do track 577 00:30:10,120 --> 00:30:12,240 Speaker 1: the ballots because when we vote, we get those little 578 00:30:12,240 --> 00:30:15,720 Speaker 1: text messages saying the ballots arrived and your ballots counted. 579 00:30:15,960 --> 00:30:18,200 Speaker 1: And then post election auditing is a fail. So that's 580 00:30:18,280 --> 00:30:22,520 Speaker 1: nine fails, one pass. It's a corrupt system, all right. 581 00:30:22,760 --> 00:30:25,120 Speaker 1: More Third World ban Ata Republic. 582 00:30:25,280 --> 00:30:27,560 Speaker 2: More coming up. So you want to quit your job, 583 00:30:27,720 --> 00:30:29,840 Speaker 2: Well you might think again if you worked for this company. 584 00:30:29,880 --> 00:30:32,720 Speaker 2: John and kenkf I AM six forty. We're live everywhere 585 00:30:32,760 --> 00:30:33,800 Speaker 2: the iHeartRadio app. 586 00:30:34,400 --> 00:30:37,760 Speaker 5: You're listening to John and Ken on demand from KFI 587 00:30:38,000 --> 00:30:38,920 Speaker 5: AM six forty. 588 00:30:42,160 --> 00:30:44,880 Speaker 2: Hey, the Moist Line is back tomorrow, So one of 589 00:30:44,920 --> 00:30:47,080 Speaker 2: the last warnings to get your calls in for this week, 590 00:30:47,400 --> 00:30:49,880 Speaker 2: use the iHeartRadio app to connect to the Moistline the 591 00:30:50,080 --> 00:30:52,880 Speaker 2: microphone icon call the toll free number one eight seven 592 00:30:52,960 --> 00:30:57,240 Speaker 2: seven Moist eighty six one eight seven seven six six 593 00:30:57,440 --> 00:31:02,400 Speaker 2: four seven eight eight six. Well, we have cartel news. Now. 594 00:31:02,600 --> 00:31:04,720 Speaker 2: How often we haven't talked about the Mexican drug cartels 595 00:31:04,760 --> 00:31:06,680 Speaker 2: in a while. We're going to talk about one that 596 00:31:06,720 --> 00:31:12,480 Speaker 2: apparently expanded its operations beyond drug trafficking, extortion, kidnapping, and, 597 00:31:12,520 --> 00:31:15,680 Speaker 2: as we like to say, smuggling human beings too. How 598 00:31:15,720 --> 00:31:20,640 Speaker 2: about call center fraud. I'm not kidding you. Apparently, eight 599 00:31:20,800 --> 00:31:24,760 Speaker 2: young workers who were employed by a drug cartel in Mexico. 600 00:31:25,240 --> 00:31:29,200 Speaker 2: It was their job to defraud mostly Americans in a 601 00:31:29,200 --> 00:31:33,000 Speaker 2: real estate scam. Basically, it looks like these were people 602 00:31:33,080 --> 00:31:36,600 Speaker 2: that had time shares in places in Mexico like Perta Varta, 603 00:31:37,400 --> 00:31:39,720 Speaker 2: and they got contacted by these call center people. Must 604 00:31:39,760 --> 00:31:42,800 Speaker 2: have gotten their phone numbers or some list and we're told, oh, 605 00:31:42,880 --> 00:31:45,280 Speaker 2: we can get you out of your time share. We 606 00:31:45,320 --> 00:31:48,520 Speaker 2: have a buyer. We're going to send you the documents. Apparently, 607 00:31:48,560 --> 00:31:50,640 Speaker 2: a lot of these young people that worked in this 608 00:31:50,720 --> 00:31:54,480 Speaker 2: call center speak English, so they were able to make 609 00:31:54,480 --> 00:31:57,440 Speaker 2: this connection and act very official. It says in the 610 00:31:57,520 --> 00:32:00,680 Speaker 2: story that they actually sent very official news making Mexican 611 00:32:00,720 --> 00:32:02,600 Speaker 2: documents to some of the people. It was a very 612 00:32:02,720 --> 00:32:06,760 Speaker 2: very sophisticated scam. And I'm not saying whether it worked 613 00:32:06,840 --> 00:32:10,360 Speaker 2: or it didn't work. The story is well, at least 614 00:32:10,400 --> 00:32:12,240 Speaker 2: eight of them decided that they didn't want to do 615 00:32:12,280 --> 00:32:15,320 Speaker 2: this anymore, so they quit their jobs. And now they've 616 00:32:15,360 --> 00:32:19,719 Speaker 2: been found as a bag of bones. Yeah, well apparently 617 00:32:19,840 --> 00:32:21,120 Speaker 2: they were. They were murdered. 618 00:32:22,800 --> 00:32:27,120 Speaker 1: They That is a real tough exit interview. Huh yeah. 619 00:32:27,200 --> 00:32:30,240 Speaker 2: Suspicions rose last week when heaps of hacked up body 620 00:32:30,240 --> 00:32:31,959 Speaker 2: parts were found in plastic bags. 621 00:32:32,040 --> 00:32:35,120 Speaker 1: They hacked you up into pieces just for leaving some jobs. 622 00:32:35,160 --> 00:32:38,320 Speaker 2: You just can't quit. That was a message to other workers. 623 00:32:38,320 --> 00:32:42,000 Speaker 2: You do not quit a cartel job. You can get fired, 624 00:32:42,040 --> 00:32:44,080 Speaker 2: I suppose, but you do not quit on us. 625 00:32:44,360 --> 00:32:46,120 Speaker 1: I don't think you want to get them mad enough 626 00:32:46,160 --> 00:32:49,240 Speaker 1: to fire you, though, do you that could. 627 00:32:49,000 --> 00:32:52,160 Speaker 2: Be that cand have consequences too. I mean, yeah, relatives 628 00:32:52,160 --> 00:32:54,880 Speaker 2: said they didn't come home from work. Do we know 629 00:32:54,920 --> 00:32:58,960 Speaker 2: what happened? They were working at a call center in Guadalajara. No, 630 00:32:59,720 --> 00:33:02,840 Speaker 2: so the investigation I guess they went to pation out 631 00:33:02,880 --> 00:33:05,640 Speaker 2: there and started searching around. They eventually found the plastic bags. 632 00:33:05,440 --> 00:33:08,320 Speaker 1: Brought that out as a career path. Oh, no call 633 00:33:08,400 --> 00:33:11,160 Speaker 1: center work in Mexico and also cross out buying a 634 00:33:11,200 --> 00:33:12,200 Speaker 1: condo in Mexico. 635 00:33:13,080 --> 00:33:16,960 Speaker 2: It is a nastyishment for defrauding probably a lot of 636 00:33:17,000 --> 00:33:23,040 Speaker 2: Americans with their timeshare problems. Forensics examiners, they say it 637 00:33:23,080 --> 00:33:26,440 Speaker 2: was probably well six men and two women who reported missing. 638 00:33:26,480 --> 00:33:27,920 Speaker 2: This happened in the middle of men. 639 00:33:28,440 --> 00:33:32,560 Speaker 1: So the FBI had said earlier this year that if 640 00:33:33,200 --> 00:33:35,720 Speaker 1: that if you had one of these condos and you 641 00:33:35,760 --> 00:33:39,560 Speaker 1: wanted to sell, you were contacted via email by scammers 642 00:33:39,760 --> 00:33:42,080 Speaker 1: who said they had a buyer lined up, but you 643 00:33:42,280 --> 00:33:45,320 Speaker 1: the seller had to pay taxes and other fees, and 644 00:33:45,360 --> 00:33:49,600 Speaker 1: then people paid and the deals disappeared. You know what 645 00:33:49,680 --> 00:33:54,000 Speaker 1: you deserve that you really do if you are after after, 646 00:33:54,400 --> 00:33:57,520 Speaker 1: how was it like almost thirty years of email, You're 647 00:33:57,560 --> 00:34:02,800 Speaker 1: still responding to scam emails and paying money to the 648 00:34:02,880 --> 00:34:05,200 Speaker 1: Mexican cartel to get you out of a condo? 649 00:34:05,320 --> 00:34:10,040 Speaker 2: Come on, this was the Hellisco New generation cartel considered 650 00:34:10,040 --> 00:34:14,160 Speaker 2: Mexico's most violent gang that was operating, and apparently family 651 00:34:14,160 --> 00:34:16,640 Speaker 2: members thought that they were working for a legitimate call center, 652 00:34:17,120 --> 00:34:20,359 Speaker 2: did not know they were working for a cartel. They're 653 00:34:20,400 --> 00:34:24,400 Speaker 2: famous for their ruthless treatment of supposed traders, informants, or turncoats. 654 00:34:24,440 --> 00:34:27,719 Speaker 2: They didn't know. Huh. The relatives apparently didn't know. They 655 00:34:27,760 --> 00:34:30,040 Speaker 2: thought their kids so they were all under thirty years old. 656 00:34:30,040 --> 00:34:32,120 Speaker 1: Even though the boss is walking around with a submachine gun, 657 00:34:32,200 --> 00:34:34,399 Speaker 1: they didn't. They didn't tip them off. 658 00:34:35,320 --> 00:34:39,319 Speaker 2: Now, in other news related to cartels, Long Beach is 659 00:34:39,360 --> 00:34:46,520 Speaker 2: getting the wife of El Chapo, Emma Corono Asporo, wife 660 00:34:46,520 --> 00:34:50,080 Speaker 2: of Joaquin El Chapo Guzman, is being transferred to a 661 00:34:50,160 --> 00:34:54,200 Speaker 2: halfway house in Long Beach to finish out her prison sentence. Yes, 662 00:34:54,320 --> 00:34:58,080 Speaker 2: she's a former teenage beauty queen born near San Francisco, 663 00:34:58,640 --> 00:35:01,680 Speaker 2: married Guzman when she he was eighteen and he was fifty. 664 00:35:02,840 --> 00:35:07,160 Speaker 2: There was a little spring fall romance. Because she's a 665 00:35:07,239 --> 00:35:09,480 Speaker 2: US citizen. She gave birth to her twin daughters in 666 00:35:09,520 --> 00:35:12,960 Speaker 2: Los Angeles County in twenty eleven while Guzman was hiding. 667 00:35:13,800 --> 00:35:16,000 Speaker 2: They eventually caught up with her and she was sentenced 668 00:35:16,000 --> 00:35:18,520 Speaker 2: in November of twenty twenty one to three years in prison, 669 00:35:18,960 --> 00:35:23,480 Speaker 2: money laundering and wilfully conspiring to distribute drugs. What I 670 00:35:23,560 --> 00:35:26,959 Speaker 2: like about this story is she helped his escape from 671 00:35:26,960 --> 00:35:32,120 Speaker 2: prison back in twenty fifteen by smuggling in a GPS 672 00:35:32,160 --> 00:35:34,520 Speaker 2: watch disguised as a food item. Was it like in 673 00:35:34,560 --> 00:35:36,560 Speaker 2: a burrito? A gash? 674 00:35:37,160 --> 00:35:37,560 Speaker 3: Yeah? 675 00:35:37,680 --> 00:35:40,600 Speaker 2: And that helped him dig a tunnel underneath the Mexican 676 00:35:40,640 --> 00:35:42,400 Speaker 2: prison and find the right direction to go. 677 00:35:42,800 --> 00:35:46,440 Speaker 1: Sure, and the guys running the prison just looked the 678 00:35:46,480 --> 00:35:48,799 Speaker 1: other way while a tunnel was being dug. 679 00:35:49,040 --> 00:35:52,760 Speaker 2: You hear aving, Oh, hear aything? He used a spoon. 680 00:35:52,840 --> 00:35:56,440 Speaker 2: It was very quiet. It took a while. It was 681 00:35:56,440 --> 00:35:59,239 Speaker 2: always in the movies. There was a quick come. The 682 00:35:59,239 --> 00:36:01,239 Speaker 2: guy says, let's it's like a tunnel with this little spoon. 683 00:36:01,320 --> 00:36:04,120 Speaker 2: All right. I couldn't take one thousand years during her 684 00:36:04,160 --> 00:36:07,640 Speaker 2: sentencing she's had true regret for any at all harm, cause, 685 00:36:07,719 --> 00:36:10,799 Speaker 2: oh she hasn't. Do you think she's still gonna be 686 00:36:10,800 --> 00:36:13,080 Speaker 2: able to resume a life of riches when she's released 687 00:36:13,120 --> 00:36:14,920 Speaker 2: because the sons now run the thing right? 688 00:36:15,560 --> 00:36:18,440 Speaker 1: Well, I don't know did she violate any any codes, 689 00:36:19,360 --> 00:36:22,160 Speaker 1: codes of secrets that she might get in tub She's 690 00:36:22,200 --> 00:36:24,799 Speaker 1: either gonna have she's gonna stay in the US. She's 691 00:36:24,840 --> 00:36:27,480 Speaker 1: either gonna have a great life, right because nobody's gonna 692 00:36:27,640 --> 00:36:33,520 Speaker 1: screw with Guzman's wife or uh, someone's gonna come and 693 00:36:33,560 --> 00:36:37,600 Speaker 1: get her because she spilled too much somewhere through through 694 00:36:37,760 --> 00:36:38,520 Speaker 1: you know, throughout the. 695 00:36:38,440 --> 00:36:41,160 Speaker 2: Case talk too much. I mean, Guzman's got the life 696 00:36:41,239 --> 00:36:43,759 Speaker 2: sentence plus thirty years just for good measure in the 697 00:36:43,760 --> 00:36:46,480 Speaker 2: supermax prison in Colorado. But his sons, I believe have 698 00:36:46,520 --> 00:36:48,440 Speaker 2: been operating. I think they didn't have one son, but 699 00:36:48,480 --> 00:36:50,960 Speaker 2: there's other son's operating as his cartel business. 700 00:36:51,160 --> 00:36:55,160 Speaker 1: I'm guessing that she probably didn't spill any good details 701 00:36:55,160 --> 00:36:57,240 Speaker 1: because they did send her to prison for three years. 702 00:36:58,680 --> 00:37:00,799 Speaker 2: Yeah, I don't think you'd want to do that. No, No, 703 00:37:01,239 --> 00:37:04,000 Speaker 2: it's it's like the mafia. And I'm sure she hadn't 704 00:37:04,000 --> 00:37:05,640 Speaker 2: an arry him for the money and the riches of 705 00:37:05,680 --> 00:37:09,200 Speaker 2: being the wife of a cartel drug kingpin. Oh, she 706 00:37:09,239 --> 00:37:11,000 Speaker 2: wanted to live a wealthy life. 707 00:37:11,480 --> 00:37:13,839 Speaker 1: Now, you know, a little bump in the road there, 708 00:37:13,840 --> 00:37:17,399 Speaker 1: three years in prison right now, and now it's back 709 00:37:17,440 --> 00:37:19,960 Speaker 1: to uh opulence. It was smart for her to come 710 00:37:19,960 --> 00:37:21,720 Speaker 1: here to give birth to the kids, and she's allowed 711 00:37:21,719 --> 00:37:23,640 Speaker 1: to because she's a US citizen and now they have a. 712 00:37:23,680 --> 00:37:26,080 Speaker 2: Dual citizenship, saying they know how to rid the system. 713 00:37:26,200 --> 00:37:30,160 Speaker 1: They know how stupid we are. We're gonna We're gonna 714 00:37:30,200 --> 00:37:34,080 Speaker 1: turn the family members of the biggest drug kingpin ever 715 00:37:34,160 --> 00:37:35,200 Speaker 1: into US citizens. 716 00:37:35,480 --> 00:37:38,840 Speaker 2: Yeah, that's smart, all right. When we return, our guest 717 00:37:38,920 --> 00:37:41,080 Speaker 2: is a woman by the name of Megan McCarthy. She 718 00:37:41,320 --> 00:37:44,879 Speaker 2: used to be a San Bernardino County deputy. She got 719 00:37:44,920 --> 00:37:47,480 Speaker 2: involved in twenty nineteen. It was one of these domestic 720 00:37:47,560 --> 00:37:51,839 Speaker 2: violence calls and she got attacked viciously by a man 721 00:37:51,840 --> 00:37:56,040 Speaker 2: in Victorville. There was cell phone video of the attack, 722 00:37:56,120 --> 00:37:58,839 Speaker 2: or at least part of it. Why she's coming on 723 00:37:58,880 --> 00:38:01,800 Speaker 2: the show is that she can't believe that her attacker 724 00:38:02,239 --> 00:38:05,359 Speaker 2: has been found not guilty by a jury, and she's 725 00:38:05,400 --> 00:38:08,200 Speaker 2: doing a lot of interviews to make the point a 726 00:38:08,320 --> 00:38:11,960 Speaker 2: big flaw in the justice system. Her attacker did suffer 727 00:38:11,960 --> 00:38:15,279 Speaker 2: from mental illness. But you'll hear the whole story coming 728 00:38:15,360 --> 00:38:18,920 Speaker 2: up next. Johnny Ken, CAFI AM six forty were live everywhere, 729 00:38:18,960 --> 00:38:20,200 Speaker 2: the iHeartRadio app. 730 00:38:20,040 --> 00:38:22,520 Speaker 1: And Deborah Mark Live in the twenty four Hour Cafe 731 00:38:22,520 --> 00:38:24,000 Speaker 1: and Isram, Hey, you've. 732 00:38:23,920 --> 00:38:25,560 Speaker 2: Been listening to the John and Ken show. You can 733 00:38:25,600 --> 00:38:28,919 Speaker 2: always hear us live on CAFI Am six forty one 734 00:38:29,000 --> 00:38:31,799 Speaker 2: pm to four pm every Monday through Friday, and of 735 00:38:31,800 --> 00:38:35,120 Speaker 2: course anytime on demand on the iHeartRadio app