1 00:00:00,840 --> 00:00:03,400 Speaker 1: Can't. I am six forty. You're listening to the John 2 00:00:03,440 --> 00:00:07,280 Speaker 1: Cobelt Podcast on the iHeartRadio app on the radio from 3 00:00:07,280 --> 00:00:10,080 Speaker 1: one until four and then after four o'clock John Cobelt 4 00:00:10,160 --> 00:00:12,960 Speaker 1: Show on demand. That's the podcast or giving away one 5 00:00:12,960 --> 00:00:17,360 Speaker 1: thousand dollars coming up in about fifteen minutes. And if 6 00:00:17,360 --> 00:00:19,400 Speaker 1: you want to call the Moist line and leave us 7 00:00:19,400 --> 00:00:23,040 Speaker 1: a message that will play back Friday, you could vent 8 00:00:23,200 --> 00:00:26,080 Speaker 1: at eight seven seven Moist eighty six, eight seven seven 9 00:00:26,160 --> 00:00:29,960 Speaker 1: Moist eighty six, eight seven seven sixty six four seven 10 00:00:30,000 --> 00:00:36,080 Speaker 1: eight eighty six. Plenty of openings, plenty of vacancies. People 11 00:00:36,120 --> 00:00:40,120 Speaker 1: have not really stirred yet for the new year, so 12 00:00:40,520 --> 00:00:43,200 Speaker 1: all right, this is your chance to make your mark. 13 00:00:44,159 --> 00:00:46,800 Speaker 1: We're gonna talk now with Brian Inton from News Nation, 14 00:00:47,000 --> 00:00:51,880 Speaker 1: which is the hottest newest cable channel. You should check 15 00:00:51,920 --> 00:00:56,040 Speaker 1: your your cable listings and watch News Nation. Brian Inton 16 00:00:56,200 --> 00:00:58,600 Speaker 1: is the senior national correspondent and he's got a hell 17 00:00:58,640 --> 00:01:05,440 Speaker 1: of a story. The Chinese government is researching a new 18 00:01:05,600 --> 00:01:10,600 Speaker 1: variant of COVID nineteen and it's all one hundred percent 19 00:01:10,760 --> 00:01:15,720 Speaker 1: lethal to humanized mice. And you're probably wondering, what is 20 00:01:15,760 --> 00:01:18,080 Speaker 1: a humanized mass Well, We're going to talk to Brian 21 00:01:18,120 --> 00:01:21,720 Speaker 1: about all this right now. Brian, how are you Hey? 22 00:01:21,760 --> 00:01:22,240 Speaker 1: Pretty good? 23 00:01:22,240 --> 00:01:23,840 Speaker 2: Thanks for having me on. I appreciate it. 24 00:01:23,920 --> 00:01:27,440 Speaker 1: All right, Well, this seems really frightening without knowing too 25 00:01:27,520 --> 00:01:29,119 Speaker 1: much more, what is this? 26 00:01:30,640 --> 00:01:32,640 Speaker 2: Yeah, I've been researching it all day because when I 27 00:01:32,680 --> 00:01:35,240 Speaker 2: woke up and got my story assignment that had the 28 00:01:35,280 --> 00:01:39,120 Speaker 2: words humanized mice, like you said, I was like, never 29 00:01:39,160 --> 00:01:41,679 Speaker 2: heard of this before. But we've been talking to researchers 30 00:01:41,720 --> 00:01:43,600 Speaker 2: all day. That's actually a thing. By the way, they 31 00:01:44,000 --> 00:01:47,800 Speaker 2: basically inject these mice to sort of have them replicate 32 00:01:48,280 --> 00:01:51,160 Speaker 2: a human immune system so they can do certain tests 33 00:01:51,160 --> 00:01:54,040 Speaker 2: on them. And they're doing that in China in this 34 00:01:54,160 --> 00:01:57,640 Speaker 2: lab with this new variant of COVID, and according to 35 00:01:57,680 --> 00:02:03,360 Speaker 2: the Chinese researchers, their papers out these mice the signs 36 00:02:03,360 --> 00:02:05,680 Speaker 2: that they had where they lost weight, they were sluggish, 37 00:02:05,760 --> 00:02:08,800 Speaker 2: their eyes turned white, and then they died. All of 38 00:02:08,800 --> 00:02:13,200 Speaker 2: them died. There wasn't one survivor, which is obviously alarming. 39 00:02:14,360 --> 00:02:16,640 Speaker 2: One of the other alarming things about all this is just, 40 00:02:16,680 --> 00:02:19,280 Speaker 2: you know, the fact that they are doing these these 41 00:02:19,280 --> 00:02:22,840 Speaker 2: COVID experience experiments in China. You think back to the 42 00:02:22,840 --> 00:02:25,920 Speaker 2: way COVID may have originated. It's a bit of a worry. 43 00:02:26,200 --> 00:02:28,440 Speaker 2: Are they taking the right precautions? Could we see some 44 00:02:28,520 --> 00:02:31,840 Speaker 2: kind of outbreak again. We spoke with a scientist at 45 00:02:31,840 --> 00:02:35,440 Speaker 2: Florida International University today. Her name is Eileen Marty. She 46 00:02:36,160 --> 00:02:40,120 Speaker 2: specializes in all this COVID research. She said, basically like 47 00:02:40,200 --> 00:02:42,360 Speaker 2: not to worry too much at this point. She looked 48 00:02:42,400 --> 00:02:44,639 Speaker 2: over their research projects. She's not even sure that they 49 00:02:45,280 --> 00:02:47,720 Speaker 2: humanized the mice the right way in terms of their 50 00:02:47,919 --> 00:02:51,480 Speaker 2: immune systems, and said, this research actually is important for 51 00:02:51,560 --> 00:02:54,440 Speaker 2: developing vaccines and that kind of thing, but did express 52 00:02:54,480 --> 00:02:57,400 Speaker 2: some concern in terms of whether they are taking the 53 00:02:57,440 --> 00:03:00,120 Speaker 2: right precautions in the labs there to make sure or 54 00:03:00,160 --> 00:03:01,400 Speaker 2: this not another lab week. 55 00:03:02,000 --> 00:03:05,400 Speaker 1: Yes exactly. I mean four years ago we would have 56 00:03:05,440 --> 00:03:08,400 Speaker 1: been told by the Chinese that they take all the 57 00:03:08,440 --> 00:03:11,799 Speaker 1: appropriate precautions and then we find out, oh, no, they didn't, 58 00:03:12,880 --> 00:03:15,280 Speaker 1: and so it's hard to trust. And I don't know 59 00:03:15,320 --> 00:03:16,959 Speaker 1: if you heard, but we were talking about that Wall 60 00:03:16,960 --> 00:03:20,959 Speaker 1: Street Journal story that came out today as well, where 61 00:03:21,000 --> 00:03:25,480 Speaker 1: the Chinese lab mapped the coronavirus two weeks before they 62 00:03:25,560 --> 00:03:26,680 Speaker 1: told the rest of the world. 63 00:03:27,520 --> 00:03:30,440 Speaker 2: They now, I think that's the bigger. I mean, I 64 00:03:30,520 --> 00:03:32,519 Speaker 2: think that's the bigger story today. I mean, there's a 65 00:03:32,560 --> 00:03:35,000 Speaker 2: lot of unknowns with this research that they're doing with 66 00:03:35,040 --> 00:03:37,200 Speaker 2: the new variant. I'm not totally sure, and I don't 67 00:03:37,200 --> 00:03:39,280 Speaker 2: think the scientists here are yet what to really make 68 00:03:39,320 --> 00:03:42,840 Speaker 2: of it. But that Wall Street Journal exclusive they had 69 00:03:42,880 --> 00:03:45,320 Speaker 2: today where they got the records that they had mapped 70 00:03:45,360 --> 00:03:48,360 Speaker 2: it out two weeks before is unbelievable because there are 71 00:03:48,720 --> 00:03:51,040 Speaker 2: including people we talked to today who are already talking 72 00:03:51,080 --> 00:03:53,200 Speaker 2: about it. There are scientists who say, if they had 73 00:03:53,240 --> 00:03:56,120 Speaker 2: a two week heads up, it could have made a 74 00:03:56,120 --> 00:03:58,280 Speaker 2: real difference. If they had come clean with what they 75 00:03:58,360 --> 00:04:00,880 Speaker 2: knew two weeks earlier, it could made a big difference 76 00:04:00,920 --> 00:04:02,880 Speaker 2: for the whole world, which is just unbelievable. 77 00:04:03,760 --> 00:04:08,920 Speaker 1: Yeah, Now going back to this experiment, Now, the original 78 00:04:09,080 --> 00:04:13,160 Speaker 1: COVID nineteen virus did come from that's in a cave, 79 00:04:13,240 --> 00:04:16,880 Speaker 1: and then they were testing that virus in the Wuhan 80 00:04:17,000 --> 00:04:21,080 Speaker 1: lab at the time that the outbreak happened. This virus 81 00:04:21,200 --> 00:04:26,320 Speaker 1: gx P two v a version of it came out 82 00:04:26,320 --> 00:04:30,239 Speaker 1: of out of pangolins, which are ant eaters. 83 00:04:31,160 --> 00:04:32,720 Speaker 2: Right, Yeah, there's a difference. 84 00:04:32,800 --> 00:04:38,400 Speaker 1: Yeah, yep, So this is a cousin of WELLX twenty 85 00:04:38,440 --> 00:04:42,800 Speaker 1: seventeen was discovered in the pangolins in twenty seventeen. The 86 00:04:42,839 --> 00:04:45,440 Speaker 1: one that the Chinese are researching now is a cousin 87 00:04:45,520 --> 00:04:49,040 Speaker 1: of it. It's mutation. But is this a natural mutation 88 00:04:49,240 --> 00:04:51,440 Speaker 1: or did they create the mutation in the lab? 89 00:04:52,560 --> 00:04:55,920 Speaker 2: See that's one of the questions that the scientists here 90 00:04:56,000 --> 00:04:58,800 Speaker 2: who we talked to asked today. And we don't really know. 91 00:04:59,080 --> 00:05:02,760 Speaker 2: I mean, they didn't release all of the information on this. 92 00:05:03,600 --> 00:05:07,280 Speaker 2: We just know that it's a COVID nineteen strain. And 93 00:05:07,600 --> 00:05:10,240 Speaker 2: what's interesting is they said the mice were humanized, But 94 00:05:10,360 --> 00:05:13,159 Speaker 2: when we got all the paperwork to our person that 95 00:05:13,160 --> 00:05:16,200 Speaker 2: we've been using the researcher at Florida International University, she said, 96 00:05:16,240 --> 00:05:18,640 Speaker 2: based on what she saw, they weren't fully humanized in 97 00:05:18,720 --> 00:05:20,599 Speaker 2: terms of their immune cities, which again is why I 98 00:05:20,600 --> 00:05:23,080 Speaker 2: think with this one, like we might have to wait 99 00:05:23,120 --> 00:05:24,920 Speaker 2: to see what's really going on. 100 00:05:25,080 --> 00:05:31,159 Speaker 1: You know, all the major countries do bioengineering of viruses, right, 101 00:05:31,400 --> 00:05:34,320 Speaker 1: they have bio weapons, even if they're never going to 102 00:05:34,360 --> 00:05:38,600 Speaker 1: admit to it. Oh, how do we know this isn't 103 00:05:38,839 --> 00:05:40,960 Speaker 1: wasn't engineered by the Chinese government? 104 00:05:41,880 --> 00:05:45,040 Speaker 2: And we don't know. Yeah, that's it. We don't know. 105 00:05:45,520 --> 00:05:48,200 Speaker 2: We think of everything they don't release. I mean, the 106 00:05:48,240 --> 00:05:51,360 Speaker 2: stuff that we're getting is stuff that the scientists there 107 00:05:51,360 --> 00:05:54,760 Speaker 2: are putting in these international databases. But I mean the 108 00:05:54,800 --> 00:05:56,920 Speaker 2: example from the Wall Street Journal that they knew about 109 00:05:57,120 --> 00:06:00,479 Speaker 2: about that COVID strain two weeks before putting thing out. 110 00:06:00,800 --> 00:06:03,039 Speaker 2: There's a lot that we don't know. I mean that 111 00:06:03,040 --> 00:06:05,200 Speaker 2: that they're that they're they're not releasing. 112 00:06:07,600 --> 00:06:11,200 Speaker 1: So what's what's the next step? I mean, what what 113 00:06:11,200 --> 00:06:13,520 Speaker 1: what's the next step for the media here, because it's 114 00:06:13,600 --> 00:06:17,320 Speaker 1: really hard to shake accurate information out of the Chinese government. 115 00:06:18,640 --> 00:06:21,320 Speaker 2: That's a really good question. Yeah, I mean like we had, 116 00:06:21,360 --> 00:06:24,520 Speaker 2: you know, they Congress had that whole study they put 117 00:06:24,520 --> 00:06:27,400 Speaker 2: together about the origin origins of COVID and it still 118 00:06:27,400 --> 00:06:30,440 Speaker 2: doesn't seem like we got a concrete answer. I mean, 119 00:06:30,800 --> 00:06:33,320 Speaker 2: you know, the lab leak theory is still very much 120 00:06:33,320 --> 00:06:37,559 Speaker 2: a possibility. Uh. They never said one hundred percent though. 121 00:06:38,080 --> 00:06:39,960 Speaker 2: I don't know that we'll ever really get the answers 122 00:06:39,960 --> 00:06:43,080 Speaker 2: again because we're dealing with China. I mean, they're not 123 00:06:43,120 --> 00:06:44,200 Speaker 2: going to tell us everything. 124 00:06:44,320 --> 00:06:46,719 Speaker 1: But I think people are uncomfortable with being at the 125 00:06:46,839 --> 00:06:51,080 Speaker 1: Mercy of whoever the powers are that run the Chinese 126 00:06:51,120 --> 00:06:53,880 Speaker 1: Communist Party and that you know, just a few years 127 00:06:53,920 --> 00:06:58,479 Speaker 1: after COVID, you've got this new, weird mutation and you 128 00:06:58,520 --> 00:07:01,400 Speaker 1: know it and it kills every every mouse they injected with. 129 00:07:01,520 --> 00:07:04,760 Speaker 1: I mean, I don't think anybody wants to hear this 130 00:07:05,600 --> 00:07:07,680 Speaker 1: and then we get the story and then what the 131 00:07:07,680 --> 00:07:10,720 Speaker 1: story is going to disappear tomorrow, you know, until there's 132 00:07:10,720 --> 00:07:11,760 Speaker 1: a really good point. 133 00:07:12,880 --> 00:07:15,600 Speaker 2: Yeah, it's kind of like we're desensitized to a certain 134 00:07:16,480 --> 00:07:18,280 Speaker 2: a certain point. You also have to wonder, like I 135 00:07:18,400 --> 00:07:20,560 Speaker 2: was thinking about this today as we were looking into 136 00:07:20,560 --> 00:07:22,600 Speaker 2: all this, you know, do politics come into play with 137 00:07:22,640 --> 00:07:24,960 Speaker 2: some of this? Does one side not want to talk 138 00:07:25,000 --> 00:07:26,720 Speaker 2: about it as much as the other? I mean there's 139 00:07:26,760 --> 00:07:28,880 Speaker 2: a lot, there's a lot going on here. 140 00:07:29,120 --> 00:07:32,120 Speaker 1: Yeah. Well, and there's no trust anymore either. I mean, 141 00:07:32,160 --> 00:07:36,120 Speaker 1: I mean people don't want to hear about COVID anymore obviously, 142 00:07:36,800 --> 00:07:39,320 Speaker 1: and they also don't have any trust, whether it's the 143 00:07:39,320 --> 00:07:44,280 Speaker 1: government sources, a lot of media sources, a Chinese medical 144 00:07:44,320 --> 00:07:49,240 Speaker 1: research sources, even you know an American obviously American medical sources. 145 00:07:49,280 --> 00:07:52,800 Speaker 1: I mean, so many, so many institutions were discredited during 146 00:07:52,800 --> 00:07:54,840 Speaker 1: this pandemic yeah. 147 00:07:54,840 --> 00:07:57,360 Speaker 2: Look at the World Health Organization, you know, used to 148 00:07:57,400 --> 00:07:59,480 Speaker 2: be like the pre eminent, like you thought you could 149 00:07:59,480 --> 00:08:03,920 Speaker 2: trust them at everything and a lot, So you're right. 150 00:08:04,000 --> 00:08:06,760 Speaker 2: I mean, it's talk. That's why these stories are so difficult, 151 00:08:06,800 --> 00:08:11,000 Speaker 2: honestly as a journalist, because you can only push so far. 152 00:08:11,080 --> 00:08:13,800 Speaker 2: I mean, you don't have all the information. We're not 153 00:08:13,840 --> 00:08:17,720 Speaker 2: getting all the information from China. So you know, we 154 00:08:18,040 --> 00:08:20,160 Speaker 2: have this little bit that we got today. We know 155 00:08:20,240 --> 00:08:23,160 Speaker 2: that the mice died. They said they were humanized. Come 156 00:08:23,200 --> 00:08:25,600 Speaker 2: to find out the researchers here are now saying, well, 157 00:08:25,640 --> 00:08:30,520 Speaker 2: they weren't fully humanized. So you're right. I mean it's 158 00:08:30,520 --> 00:08:32,640 Speaker 2: hard to kind of know up from down with a 159 00:08:32,640 --> 00:08:33,000 Speaker 2: lot of this. 160 00:08:33,440 --> 00:08:35,800 Speaker 1: Brian, well, good work, Thank you very much for coming on, 161 00:08:35,920 --> 00:08:38,760 Speaker 1: and if you learn more, we'll get in contact again. 162 00:08:39,520 --> 00:08:40,560 Speaker 2: All right, thank you so much. 163 00:08:40,679 --> 00:08:44,880 Speaker 1: All right, Brian Inton from News Nation, the new cable 164 00:08:44,920 --> 00:08:47,360 Speaker 1: news channel. You should go look for it on your 165 00:08:48,000 --> 00:08:52,160 Speaker 1: cable TV listings. So h g x P two V 166 00:08:53,120 --> 00:08:57,679 Speaker 1: had infected the lungs, bones, eyes, tracheas and brains of 167 00:08:57,720 --> 00:09:01,720 Speaker 1: the dead mice. All the mice died in eight days, 168 00:09:05,720 --> 00:09:08,040 Speaker 1: but by by time he got to the brains, the 169 00:09:08,120 --> 00:09:10,000 Speaker 1: brain when the brain got infected. That was it. 170 00:09:10,080 --> 00:09:15,560 Speaker 3: Can we just shut down all the labs in China? 171 00:09:16,160 --> 00:09:20,360 Speaker 1: Yeah, some well uh, well placed, well timed missiles. The 172 00:09:20,400 --> 00:09:26,120 Speaker 1: mice quickly lost weight, they started, uh to get hunched over, 173 00:09:27,080 --> 00:09:32,200 Speaker 1: and they moved very sluggishly. Their eyes turned completely white 174 00:09:32,320 --> 00:09:33,439 Speaker 1: the day before they died. 175 00:09:35,760 --> 00:09:37,679 Speaker 3: M animal abuse. 176 00:09:38,200 --> 00:09:39,480 Speaker 1: Yeah, the poor mice huh. 177 00:09:39,440 --> 00:09:40,400 Speaker 3: Rode into abuse. 178 00:09:40,520 --> 00:09:40,800 Speaker 1: Yeah. 179 00:09:40,840 --> 00:09:42,160 Speaker 3: I feel really sorry for them. 180 00:09:42,600 --> 00:09:47,119 Speaker 1: Now, it's interesting. One professor wrote on the X platform. 181 00:09:47,200 --> 00:09:55,640 Speaker 1: Francois Blou, epidemiology expert at London's Genetics Institute, He says, 182 00:09:55,880 --> 00:09:59,760 Speaker 1: the whole concept of this research is terrible and scientifically 183 00:09:59,800 --> 00:10:03,360 Speaker 1: to totally pointless. I can see nothing of vague interest 184 00:10:03,400 --> 00:10:07,160 Speaker 1: that could be learned from force infecting a weird breed 185 00:10:07,200 --> 00:10:11,520 Speaker 1: of humanized mice with a random virus. Conversely, I could 186 00:10:11,559 --> 00:10:16,160 Speaker 1: see how much stuff might go wrong. This doesn't specify 187 00:10:16,240 --> 00:10:20,360 Speaker 1: the biosafety level and the biosafety precautions used for the research. 188 00:10:20,920 --> 00:10:24,120 Speaker 1: Like we found out at the Wuhan lab, their biosafety 189 00:10:24,960 --> 00:10:29,160 Speaker 1: protocol was way short of the standard. It wasn't anywhere 190 00:10:29,200 --> 00:10:31,600 Speaker 1: near what it should have been for the type of 191 00:10:31,679 --> 00:10:35,680 Speaker 1: viruses that they were playing around with, And he says 192 00:10:35,720 --> 00:10:39,440 Speaker 1: The absence of this information raises the concerning possibility that 193 00:10:39,520 --> 00:10:42,720 Speaker 1: part of all this research, liked the research in Wuhan 194 00:10:43,000 --> 00:10:47,720 Speaker 1: that the likely caused the COVID nineteen pandemic, is being 195 00:10:47,800 --> 00:10:54,400 Speaker 1: performed recklessly without minimum biosafety containment and practice is essential 196 00:10:54,400 --> 00:10:59,959 Speaker 1: for research with these pandemic pathogens. A Rutgers University professor 197 00:11:01,000 --> 00:11:07,760 Speaker 1: Richard enbrook Ebright issued a one word statement concur third 198 00:11:07,800 --> 00:11:12,280 Speaker 1: professor at Stanford, doctor Janatiglinsky. He said, this madness must 199 00:11:12,280 --> 00:11:14,840 Speaker 1: be stopped before too late, before it's too late. 200 00:11:17,080 --> 00:11:19,880 Speaker 3: Why don't we have inspectors going to the labs and 201 00:11:19,960 --> 00:11:21,439 Speaker 3: checking out with what they're doing. 202 00:11:22,040 --> 00:11:24,280 Speaker 1: The Chinese would never cooperate. 203 00:11:23,760 --> 00:11:26,240 Speaker 3: With it, they know, But can't we threaten with something else? 204 00:11:26,440 --> 00:11:29,760 Speaker 1: And well, going back to the missile, we need to 205 00:11:30,280 --> 00:11:34,559 Speaker 1: I'm not joking, we need to, like seriously threaten to 206 00:11:34,840 --> 00:11:41,560 Speaker 1: try to curtailis nonsense because they don't care. I mean, 207 00:11:41,600 --> 00:11:44,120 Speaker 1: to go two weeks without admitting to the COVID nineteen 208 00:11:44,240 --> 00:11:49,720 Speaker 1: virus is absolutely shameful, but you know they don't have 209 00:11:49,800 --> 00:11:53,880 Speaker 1: any shame. It says here. If we'd had two more weeks, 210 00:11:54,559 --> 00:11:57,120 Speaker 1: it would have proved crucial to The Wall Street Journal 211 00:11:57,120 --> 00:12:01,400 Speaker 1: in helping the international medical community. Pinpoint had COVID nineteen spread, 212 00:12:01,960 --> 00:12:06,520 Speaker 1: develop medical defenses, and get started on an eventual vaccine. 213 00:12:07,920 --> 00:12:10,720 Speaker 1: And the thing is that when they finally shared the 214 00:12:10,800 --> 00:12:14,320 Speaker 1: virus's sequence with the World Health Organization, Remember the World 215 00:12:14,320 --> 00:12:20,119 Speaker 1: Health Organization was largely financed by China and the who 216 00:12:20,280 --> 00:12:25,080 Speaker 1: ran interference for China and just dragged their feet on 217 00:12:25,200 --> 00:12:27,400 Speaker 1: releasing information that would have been useful to the rest 218 00:12:27,440 --> 00:12:30,959 Speaker 1: of the world. They were covering for China because China 219 00:12:31,000 --> 00:12:35,040 Speaker 1: pays their bills. Now maybe we should pay their bills. 220 00:12:35,160 --> 00:12:39,320 Speaker 4: More Coming up, you're listening to John Cobelt on demand 221 00:12:39,600 --> 00:12:41,480 Speaker 4: from KFI Am six forty. 222 00:12:43,080 --> 00:12:45,840 Speaker 1: I'm going to indulge it with my daily segment on 223 00:12:46,640 --> 00:12:50,600 Speaker 1: the failures of electric cars because the New York Times 224 00:12:50,800 --> 00:12:53,440 Speaker 1: has finally done a story on it. You can't find 225 00:12:53,440 --> 00:12:56,280 Speaker 1: a media outlet this week that hasn't gone to Chicago 226 00:12:56,559 --> 00:13:02,479 Speaker 1: to show the Tesla graveyards, the charging stations where Tesla's 227 00:13:02,559 --> 00:13:05,600 Speaker 1: are lined up, all their batteries dead because the temperature 228 00:13:05,679 --> 00:13:08,360 Speaker 1: dropped below zero and you can't drive a lot of 229 00:13:08,400 --> 00:13:12,040 Speaker 1: electric cars when it's very, very cold. The juice just 230 00:13:12,120 --> 00:13:17,440 Speaker 1: gets sap sapped out of the battery. And so the 231 00:13:17,480 --> 00:13:20,679 Speaker 1: New York Times weighed in and let's see. And the 232 00:13:20,720 --> 00:13:23,120 Speaker 1: thing is, it's not hard to find these people because 233 00:13:23,160 --> 00:13:27,280 Speaker 1: the lines are really long and the cars are dead, 234 00:13:28,000 --> 00:13:31,360 Speaker 1: so it's not hard for the reporters to find people 235 00:13:31,400 --> 00:13:34,320 Speaker 1: to talk to. They're standing around in zero degrees and 236 00:13:34,360 --> 00:13:38,520 Speaker 1: they're in a bad mood. So they talked to Javid Spencer, 237 00:13:39,000 --> 00:13:42,320 Speaker 1: an Uber driver, who said all he has done in 238 00:13:42,360 --> 00:13:46,440 Speaker 1: the last three days is just try to charge his 239 00:13:46,600 --> 00:13:54,280 Speaker 1: rented Chevy Bolt and he's constantly at a dead battery 240 00:13:54,280 --> 00:13:57,240 Speaker 1: for three days. And he said, when it's cold like this, 241 00:13:57,480 --> 00:14:01,120 Speaker 1: the cars aren't functioning well, the chargers aren't functioning well, 242 00:14:01,240 --> 00:14:05,480 Speaker 1: and people don't function so well either. He started out 243 00:14:05,520 --> 00:14:10,520 Speaker 1: on Sunday looking for a charging station with thirty miles 244 00:14:10,559 --> 00:14:13,760 Speaker 1: left on his battery, but in minutes the battery was dead. 245 00:14:14,000 --> 00:14:18,280 Speaker 1: See that little indicator on the dashboard of these cars 246 00:14:18,280 --> 00:14:20,480 Speaker 1: that say you have one hundred miles, fifty miles, thirty miles, 247 00:14:20,560 --> 00:14:22,960 Speaker 1: it's worthless than the cold weather. It'll go from thirty 248 00:14:23,000 --> 00:14:25,640 Speaker 1: to zero and boom. So he had to have the 249 00:14:25,680 --> 00:14:29,640 Speaker 1: car towed to the charging station. Then he plugs it in, 250 00:14:30,040 --> 00:14:34,400 Speaker 1: but it wasn't getting any charge. Recharging the battery, which 251 00:14:34,520 --> 00:14:39,120 Speaker 1: usually takes him an hour, took five hours. How many 252 00:14:39,120 --> 00:14:42,800 Speaker 1: times are you going to go through this wait usually 253 00:14:42,840 --> 00:14:46,560 Speaker 1: takes an hour? Is bad enough. That's twenty times longer 254 00:14:46,600 --> 00:14:48,920 Speaker 1: than it takes me to fill up my gas tank. 255 00:14:50,120 --> 00:14:52,480 Speaker 1: So it takes twenty times longer on a good day, 256 00:14:53,000 --> 00:14:56,080 Speaker 1: and on a bad day like this, it's it's it's 257 00:14:56,120 --> 00:15:00,280 Speaker 1: what one hundred times longer. I don't see exactly how 258 00:15:00,280 --> 00:15:03,320 Speaker 1: this is progress. And by the way, I have a 259 00:15:03,320 --> 00:15:06,000 Speaker 1: feeling that the people in Chicago wouldn't mind some global warming. 260 00:15:06,880 --> 00:15:09,400 Speaker 1: I'm just guessing that they're not really upset about the 261 00:15:09,400 --> 00:15:12,600 Speaker 1: planet heating up, because what's gonna happen. If it heats 262 00:15:12,640 --> 00:15:17,400 Speaker 1: up by ten degrees, it'll be ten degrees above zero 263 00:15:17,440 --> 00:15:23,320 Speaker 1: instead of zero in Chicago. They never researched that for them. 264 00:15:23,440 --> 00:15:25,880 Speaker 1: Millions and tens of millions, hundreds of millions of people 265 00:15:25,880 --> 00:15:29,000 Speaker 1: who live in cold climates are they're really upset at 266 00:15:29,000 --> 00:15:32,640 Speaker 1: the planet warms. The people living in the hot deserts, well, 267 00:15:32,680 --> 00:15:34,880 Speaker 1: there's not that many people there any way, to begin with. 268 00:15:35,320 --> 00:15:37,280 Speaker 5: You got to hear this first hand account that I 269 00:15:37,360 --> 00:15:39,840 Speaker 5: just found on Twitter. Just I was scrolling randomly during 270 00:15:39,880 --> 00:15:42,720 Speaker 5: the break, and I came upon this video of a 271 00:15:42,760 --> 00:15:46,080 Speaker 5: woman in Chicago stuck at a Tesla charging plant. Play 272 00:15:46,080 --> 00:15:48,160 Speaker 5: it where eight out of the ten charges are broken. 273 00:15:49,520 --> 00:15:55,160 Speaker 6: It is negative degrees out here in Chicago. My car 274 00:15:55,280 --> 00:15:59,440 Speaker 6: needed charging, so of course you look for the closest 275 00:15:59,520 --> 00:16:05,960 Speaker 6: charger station, which for me was Evergreen. I made it 276 00:16:06,000 --> 00:16:11,480 Speaker 6: to Evergreen charging station, and of the ten stations, I 277 00:16:11,520 --> 00:16:15,680 Speaker 6: want to say, nine or eight of them are all 278 00:16:15,720 --> 00:16:21,760 Speaker 6: broken and unable to be utilized. So, of course, as 279 00:16:21,800 --> 00:16:26,240 Speaker 6: you can see, you have multiple vehicles that have died 280 00:16:27,280 --> 00:16:32,640 Speaker 6: and are unable to be charged. You have people who 281 00:16:32,680 --> 00:16:37,400 Speaker 6: are stuck out in negative degree whether you have. 282 00:16:37,480 --> 00:16:42,080 Speaker 1: A toe truck here who is trying to help him support. 283 00:16:43,480 --> 00:16:47,560 Speaker 6: But again, all of these charging stations no longer work, 284 00:16:48,400 --> 00:16:56,800 Speaker 6: so you have basically deadlock a bunch of charging stations. 285 00:16:57,040 --> 00:17:00,320 Speaker 6: You have a bunch of people with nothing that they 286 00:17:00,360 --> 00:17:03,280 Speaker 6: can do. Well. 287 00:17:03,720 --> 00:17:07,239 Speaker 1: She doesn't sound happy, No, she's not one bit. And 288 00:17:07,280 --> 00:17:09,800 Speaker 1: she looks freezing. Yeah, and you hear her breathing heavy. Right, 289 00:17:09,800 --> 00:17:10,600 Speaker 1: he's all bundled up. 290 00:17:10,640 --> 00:17:12,360 Speaker 5: She's got a scarf over her head, a hood over 291 00:17:12,359 --> 00:17:14,639 Speaker 5: her head, a beanie, three jackets. 292 00:17:15,080 --> 00:17:17,600 Speaker 1: I spent two winters in Chicago. No thank you. It 293 00:17:17,680 --> 00:17:19,760 Speaker 1: is it is hard to breathe there when when the 294 00:17:19,800 --> 00:17:24,639 Speaker 1: temperature gets below zero. And here's here's another guy with 295 00:17:24,680 --> 00:17:28,400 Speaker 1: a similar story. Uh Nick Sethi, thirty five years old, 296 00:17:28,920 --> 00:17:34,560 Speaker 1: found his Tesla frozen shut. He spent an hour just 297 00:17:34,640 --> 00:17:37,840 Speaker 1: trying to open the door to his car. It was 298 00:17:37,920 --> 00:17:44,919 Speaker 1: minus five. He finally chiseled out the embedded truck handle 299 00:17:45,080 --> 00:17:47,520 Speaker 1: handle to open it. So he had to go to 300 00:17:47,560 --> 00:17:51,720 Speaker 1: the trunk, and I guess he had he had something 301 00:17:51,760 --> 00:17:53,679 Speaker 1: to chisel the ice off. Don't tell me. I had 302 00:17:53,720 --> 00:17:56,040 Speaker 1: to climb through the trunk. Yes, he had to climb 303 00:17:56,040 --> 00:18:00,119 Speaker 1: through the trunk. Oh my goodness. He gets to who 304 00:18:01,640 --> 00:18:04,800 Speaker 1: the closest supercharging station. Now he has an expensive model. 305 00:18:04,840 --> 00:18:10,280 Speaker 1: He's got the Model Y long range Suv. He gets 306 00:18:10,280 --> 00:18:13,640 Speaker 1: there and there's a long line of Tesla drivers. All 307 00:18:13,800 --> 00:18:20,080 Speaker 1: twelve charging posts were occupied and the charging was getting 308 00:18:20,119 --> 00:18:23,199 Speaker 1: slowed down because everybody was staying inside the car with 309 00:18:23,280 --> 00:18:28,600 Speaker 1: their heat on high. Sethi says, it's been a roller 310 00:18:28,600 --> 00:18:31,959 Speaker 1: coaster ride. He moved from Dallas to Chicago and got 311 00:18:32,000 --> 00:18:34,680 Speaker 1: a Tesla. He goes, I'll go through the winter and 312 00:18:34,720 --> 00:18:38,160 Speaker 1: then I'm going to decide whether I keep it. Found 313 00:18:38,160 --> 00:18:42,920 Speaker 1: another woman is there a woman, Yeah, Joshulyn and Rivera. 314 00:18:43,119 --> 00:18:46,639 Speaker 1: She had the heat inside her Tesla Model three, and 315 00:18:46,680 --> 00:18:48,359 Speaker 1: she says, if you're waiting in that line and you 316 00:18:48,440 --> 00:18:51,760 Speaker 1: only have fifty miles, you're not gonna make it. And 317 00:18:51,840 --> 00:18:54,320 Speaker 1: she pointed to a light of vehicles stretched out onto 318 00:18:54,359 --> 00:18:58,560 Speaker 1: Elston Avenue. The line is out the parking lot into 319 00:18:58,600 --> 00:19:03,080 Speaker 1: the street and they're in line so long their cars 320 00:19:03,160 --> 00:19:05,720 Speaker 1: die and they have to call a tow truck. She 321 00:19:05,840 --> 00:19:09,639 Speaker 1: said she saw one Tesla run out of battery after 322 00:19:09,720 --> 00:19:13,440 Speaker 1: a driver attempted to cut the line. So what they 323 00:19:13,440 --> 00:19:17,679 Speaker 1: cut the line and then they been dead. 324 00:19:18,000 --> 00:19:19,680 Speaker 5: Then you're stuck with all the people that you cut, 325 00:19:19,680 --> 00:19:21,320 Speaker 5: and they're all pissed off at you and pissed off 326 00:19:21,320 --> 00:19:22,479 Speaker 5: at the situation they're in. 327 00:19:22,640 --> 00:19:25,240 Speaker 1: Yeah, somebody's gonna die. Here were various cars supposed to 328 00:19:25,320 --> 00:19:27,840 Speaker 1: drive up to two hundred and seventy three miles on 329 00:19:27,920 --> 00:19:30,800 Speaker 1: a single thirty minute charge, which is still way too long. See, 330 00:19:30,800 --> 00:19:34,920 Speaker 1: even the ideal situations are absurd. This week, she woke 331 00:19:35,040 --> 00:19:37,040 Speaker 1: up and found that a third of her car battery 332 00:19:37,200 --> 00:19:42,879 Speaker 1: drained overnight from the cold, and so every day she 333 00:19:43,000 --> 00:19:46,960 Speaker 1: spends hours every morning waiting in line and recharging the battery. 334 00:19:47,480 --> 00:19:52,680 Speaker 1: She says, I don't really want a tesla. I could 335 00:19:52,680 --> 00:19:57,200 Speaker 1: go on maybe Tomorrow'll go on with more. John Cobelt showed. 336 00:19:58,160 --> 00:20:03,040 Speaker 4: You're listening to John Cobelt on demand from KFI Am sixty. 337 00:20:03,880 --> 00:20:05,560 Speaker 1: We're on the radio from one until four, and then 338 00:20:05,560 --> 00:20:09,800 Speaker 1: after four o'clock John Cobelt Show on demand, it's the 339 00:20:09,800 --> 00:20:12,919 Speaker 1: podcast version and you could catch up on what you missed. 340 00:20:14,400 --> 00:20:16,960 Speaker 1: After three o'clock, we're going to talk with Fresno County 341 00:20:17,160 --> 00:20:21,840 Speaker 1: District Attorney Lisa Smith Camp, and she is putting out 342 00:20:21,840 --> 00:20:24,560 Speaker 1: the word that Prop forty seven once and for all 343 00:20:24,640 --> 00:20:30,600 Speaker 1: has to be reversed. She said, this week California has 344 00:20:30,640 --> 00:20:34,440 Speaker 1: gone mad. Really the lack of accountability and responsibility is 345 00:20:34,480 --> 00:20:40,320 Speaker 1: affecting everything. And they're proposing the Homelessness, Drug Addiction, and 346 00:20:40,400 --> 00:20:47,159 Speaker 1: Theft Reduction Act to reverse Proposition forty seven. And we 347 00:20:47,240 --> 00:20:49,840 Speaker 1: will talk to her about it. I think you know 348 00:20:49,880 --> 00:20:54,480 Speaker 1: what we've all complained for a long time now, has 349 00:20:54,520 --> 00:20:57,480 Speaker 1: everybody had it? Could this be the year, since we 350 00:20:57,520 --> 00:20:59,679 Speaker 1: have a big election year, that we finally rid the 351 00:20:59,680 --> 00:21:02,520 Speaker 1: world of all this nonsense Here in California. We don't 352 00:21:02,520 --> 00:21:04,600 Speaker 1: have to put up with this. I've actually been thinking 353 00:21:04,640 --> 00:21:06,919 Speaker 1: about this because you know, when I go home and 354 00:21:07,400 --> 00:21:09,800 Speaker 1: I sit staring at a wall or sit in the shower, 355 00:21:10,280 --> 00:21:12,720 Speaker 1: I say, one thing I thought of today is why 356 00:21:12,920 --> 00:21:15,719 Speaker 1: do we collectively put up with what we're putting up with? 357 00:21:16,440 --> 00:21:18,240 Speaker 1: Why are we doing I was thinking about that sharing 358 00:21:18,280 --> 00:21:21,359 Speaker 1: the story about the frozen teslas all out of battery juice. 359 00:21:21,400 --> 00:21:24,200 Speaker 1: It's like, why are people standing in line for five 360 00:21:24,320 --> 00:21:30,320 Speaker 1: hours to charge a battery which basically cannot be charged 361 00:21:30,720 --> 00:21:34,680 Speaker 1: in this in very cold weather? Why is everybody in Chicago? 362 00:21:34,720 --> 00:21:39,160 Speaker 1: They should be taking their teslas and selling them or 363 00:21:39,280 --> 00:21:43,600 Speaker 1: pushing them off cliffs. What's the point of this? Are 364 00:21:43,640 --> 00:21:45,960 Speaker 1: you really going to do this every cold day in 365 00:21:46,000 --> 00:21:49,840 Speaker 1: the winter stand there for five hours? Except in California, 366 00:21:50,480 --> 00:21:52,680 Speaker 1: it's a mandate soon that we're not going to be 367 00:21:52,760 --> 00:21:55,960 Speaker 1: able to buy a gas powered car, And I'm thinking, 368 00:21:56,080 --> 00:21:59,000 Speaker 1: why do we put up with this? Whatever the overlords say, 369 00:21:59,080 --> 00:22:01,520 Speaker 1: it's like, well, you know you have to have criminals 370 00:22:01,560 --> 00:22:02,960 Speaker 1: in the streets. We're not going to put them in 371 00:22:02,960 --> 00:22:06,840 Speaker 1: prison anymore. It's not fair allless people are not going 372 00:22:06,880 --> 00:22:09,960 Speaker 1: to be forced to go inside or leave the city, 373 00:22:10,119 --> 00:22:14,520 Speaker 1: because well, how long do people put up with insanity? 374 00:22:14,600 --> 00:22:17,359 Speaker 1: And why do they I feel like we're all trapped 375 00:22:17,359 --> 00:22:20,159 Speaker 1: inside a cult here. You know how people live in 376 00:22:20,160 --> 00:22:23,720 Speaker 1: a cult. All sorts of bizarre things happen in a cult. 377 00:22:24,040 --> 00:22:27,280 Speaker 1: You know, the guru as having weird sex with all 378 00:22:27,320 --> 00:22:30,160 Speaker 1: the women. People are being locked up in chains, they're 379 00:22:30,160 --> 00:22:33,400 Speaker 1: on strange diets, they wear weird clothes, they can't see 380 00:22:33,440 --> 00:22:35,800 Speaker 1: the light of day, and everybody just goes along with it. Yeah, 381 00:22:35,800 --> 00:22:38,320 Speaker 1: that's what our guru says. Yeah, you know, we wearship 382 00:22:38,320 --> 00:22:42,679 Speaker 1: park and I've always wondered they never stap out of it. 383 00:22:42,720 --> 00:22:45,520 Speaker 1: Now sometimes people do after they waste their lives for 384 00:22:45,600 --> 00:22:48,480 Speaker 1: twenty years, and I feel like that's the case in California. 385 00:22:48,720 --> 00:22:50,840 Speaker 1: Nobody else is doing it to this extent. In the 386 00:22:50,880 --> 00:22:53,640 Speaker 1: rest of the country, there are pockets of insanity, but 387 00:22:53,800 --> 00:22:56,879 Speaker 1: our entire state is like an outdoor mental institution, and 388 00:22:56,920 --> 00:23:01,600 Speaker 1: this includes all the same people. Anyway, we'll talk to 389 00:23:01,760 --> 00:23:06,000 Speaker 1: Lisa smithcamp coming up. Here's a trial coming up, which 390 00:23:06,040 --> 00:23:08,879 Speaker 1: I'd forgotten about. But this was a terrible story at 391 00:23:08,920 --> 00:23:11,160 Speaker 1: the time. Still is a terrible story, and I think 392 00:23:11,200 --> 00:23:13,200 Speaker 1: this is going to draw a lot of attention because 393 00:23:13,240 --> 00:23:18,520 Speaker 1: of the woman being prosecuted, Rebecca Grossman. You know, she 394 00:23:18,640 --> 00:23:24,680 Speaker 1: and her husband, famous burn doctor, doctor Peter Grossman. He's 395 00:23:24,720 --> 00:23:28,359 Speaker 1: a renowned plastic surgeon, and they founded the Grossman Burn 396 00:23:28,480 --> 00:23:33,680 Speaker 1: Center and they were married. She's a very wealthy, very attractive, 397 00:23:33,680 --> 00:23:36,439 Speaker 1: blonde woman, but she was may have been having an 398 00:23:36,440 --> 00:23:40,080 Speaker 1: affair with a former Los Angeles dodger, a picture by 399 00:23:40,119 --> 00:23:44,479 Speaker 1: the name of Scott Erickson. And the story from prosecutors is, 400 00:23:44,960 --> 00:23:49,320 Speaker 1: Rebecca Grossman went out for a few cocktails with Scott 401 00:23:49,320 --> 00:23:54,160 Speaker 1: Erickson back in September of twenty twenty, and they got 402 00:23:54,160 --> 00:23:57,280 Speaker 1: in the car. They may or may not have been drunk, 403 00:23:58,080 --> 00:24:01,639 Speaker 1: and then they started racing each other and she was 404 00:24:01,680 --> 00:24:04,560 Speaker 1: speeding as fast as eighty one miles an hour, and 405 00:24:04,760 --> 00:24:10,240 Speaker 1: she ran over and killed two little boys. Remember this story. 406 00:24:11,760 --> 00:24:15,680 Speaker 1: And she's been charged with two counts of murder, among 407 00:24:15,760 --> 00:24:23,480 Speaker 1: other things, and her legal team is going to claim 408 00:24:23,960 --> 00:24:27,199 Speaker 1: that it wasn't her car, that she wasn't speeding, and 409 00:24:27,240 --> 00:24:31,359 Speaker 1: it was another vehicle that struck the boys. Now the 410 00:24:31,640 --> 00:24:36,240 Speaker 1: jury selection is beginning. This happened in Westlake Village, which, 411 00:24:36,240 --> 00:24:39,280 Speaker 1: if you've been there, is very quiet and civilized and peaceful. 412 00:24:40,080 --> 00:24:42,760 Speaker 1: It's if you make enough money, it's a great getaway. 413 00:24:44,160 --> 00:24:46,520 Speaker 1: And the story in the La Times Today center is 414 00:24:46,560 --> 00:24:51,480 Speaker 1: on the mother Nancy Iskander. Iskander was crossing the street 415 00:24:51,560 --> 00:24:56,840 Speaker 1: with her five, eight and eleven year old sons and 416 00:24:57,720 --> 00:25:00,880 Speaker 1: Rebecca Grossman was behind the the wheel of a white 417 00:25:00,960 --> 00:25:10,560 Speaker 1: Mercedes and she blew by Scott Erickson's car was there 418 00:25:10,600 --> 00:25:16,160 Speaker 1: as well. There's a little bit of confusion because Nancy 419 00:25:16,320 --> 00:25:22,520 Speaker 1: doesn't remember exactly what happened, as you could understand. But 420 00:25:22,640 --> 00:25:25,399 Speaker 1: what the prosecutors are saying is that Grossman hit the 421 00:25:25,400 --> 00:25:29,479 Speaker 1: two kids. I mean one of them really really went flying. 422 00:25:30,160 --> 00:25:33,320 Speaker 1: So she was having an affair with Ericson, say prosecutors. 423 00:25:34,000 --> 00:25:38,560 Speaker 1: I mean, if you look up Rebecca Grossman online, you'll 424 00:25:38,600 --> 00:25:41,680 Speaker 1: see numerous photos of her and her husband Peter, because 425 00:25:41,720 --> 00:25:46,440 Speaker 1: they were socially quite famous, and he was quite famous 426 00:25:46,800 --> 00:25:49,600 Speaker 1: in medical circles because of this burn center, which is 427 00:25:49,600 --> 00:25:52,600 Speaker 1: one of the you know, maybe the top burn center 428 00:25:52,600 --> 00:25:57,400 Speaker 1: in the state. So anyway, their two SUVs were traveling 429 00:25:57,400 --> 00:26:01,800 Speaker 1: close together and they raced through a crosswalk on Trionpho 430 00:26:01,960 --> 00:26:07,280 Speaker 1: Canyon Road at the intersection of Saddle Mountain Drive and 431 00:26:07,359 --> 00:26:10,560 Speaker 1: for the just in the last month did prosecutors finally 432 00:26:10,600 --> 00:26:15,520 Speaker 1: reveal that they were having a romantic relationship, and the 433 00:26:15,600 --> 00:26:20,600 Speaker 1: reason that became relevant is the defense wants to argue 434 00:26:21,160 --> 00:26:25,960 Speaker 1: that the black car that was traveling neck and neck 435 00:26:26,080 --> 00:26:32,320 Speaker 1: with Rebecca Grossman's car was not Ericson's but someone else, 436 00:26:33,040 --> 00:26:35,959 Speaker 1: and that someone else might have struck the boys first. 437 00:26:39,200 --> 00:26:42,320 Speaker 1: So if I'm reading this right, they're not saying Grossmand 438 00:26:42,359 --> 00:26:44,800 Speaker 1: didn't strike the boys, but that she was the second 439 00:26:44,800 --> 00:26:47,960 Speaker 1: one too, and that the black car wasn't Ericson, it 440 00:26:48,119 --> 00:26:54,719 Speaker 1: was someone else. It's taken the three years to come 441 00:26:54,800 --> 00:26:59,600 Speaker 1: up with that. So Ericson was charged with a misdemeanor 442 00:27:01,560 --> 00:27:04,320 Speaker 1: and his case was resolved in February of twenty twenty two. 443 00:27:05,400 --> 00:27:08,399 Speaker 1: So she's the one that's being targeted here, and I 444 00:27:08,400 --> 00:27:11,399 Speaker 1: guess the lawyer is just trying to throw up a 445 00:27:11,440 --> 00:27:14,320 Speaker 1: lot of mud to confuse the issue. Similar to that 446 00:27:14,440 --> 00:27:21,240 Speaker 1: case in Malibu. Remember with that kid who ran down 447 00:27:21,280 --> 00:27:27,199 Speaker 1: the four Pepperdine girls recently, and then the defense attorney 448 00:27:27,280 --> 00:27:29,200 Speaker 1: came on our show and said, well, it was another 449 00:27:29,320 --> 00:27:34,880 Speaker 1: car that was chasing that young man and pushed his 450 00:27:34,920 --> 00:27:39,840 Speaker 1: car into the Pepperdine girls. I haven't seen any evidence 451 00:27:39,880 --> 00:27:41,920 Speaker 1: of that, but that's what he claimed on our show. 452 00:27:42,280 --> 00:27:45,320 Speaker 1: And it looks like this attorney is using a well, 453 00:27:45,320 --> 00:27:47,000 Speaker 1: at the end, they want to create confusion, They want 454 00:27:47,040 --> 00:27:50,520 Speaker 1: to create reasonable doubt. Whether there's a shred of truth, 455 00:27:51,119 --> 00:27:52,960 Speaker 1: it doesn't matter. You want to get a jury of 456 00:27:53,000 --> 00:27:55,520 Speaker 1: stupid people, and if one stupid person on the jury 457 00:27:55,520 --> 00:27:58,880 Speaker 1: buys into your nonsense, then you win and your client 458 00:27:58,920 --> 00:28:03,159 Speaker 1: doesn't go to jail. And going back to the Iskander family, 459 00:28:04,160 --> 00:28:09,480 Speaker 1: she was on inline skates and her son, Jacob also 460 00:28:09,560 --> 00:28:12,879 Speaker 1: on skates. The eight year old who got killed was 461 00:28:12,880 --> 00:28:14,879 Speaker 1: on a skateboard, and the five year old was on 462 00:28:14,920 --> 00:28:20,080 Speaker 1: a scooter. So they were all rolling through the crosswalk. 463 00:28:22,280 --> 00:28:24,800 Speaker 1: There was another husband and her daughter. They were jogging nearby. 464 00:28:25,960 --> 00:28:28,879 Speaker 1: She can't remember whether it was Grossman's white suv that 465 00:28:28,920 --> 00:28:31,320 Speaker 1: struck her children because she was diving out of the 466 00:28:31,359 --> 00:28:34,879 Speaker 1: way with the five year old, or whether it was 467 00:28:34,920 --> 00:28:37,960 Speaker 1: the black vehicle driven by Ericson. She says, there's a 468 00:28:38,000 --> 00:28:42,440 Speaker 1: white and a black vehicle. Rebecca Grossman had the white vehicle, 469 00:28:42,600 --> 00:28:46,200 Speaker 1: the Dodger Pitcher Scott Erickson had the black vehicle. And 470 00:28:46,240 --> 00:28:48,360 Speaker 1: now the defense is saying, no, no, no, there was 471 00:28:48,360 --> 00:28:52,560 Speaker 1: another black vehicle. She said the speed was insane, and 472 00:28:52,600 --> 00:28:54,640 Speaker 1: this is the mother talking. They were zigzagging with each 473 00:28:54,680 --> 00:28:57,320 Speaker 1: other as if they were playing or racing. They didn't 474 00:28:57,320 --> 00:29:00,000 Speaker 1: stop before the intersection, they didn't stop at the intersect, 475 00:29:00,480 --> 00:29:03,080 Speaker 1: and they didn't stop when an eleven year old was 476 00:29:03,080 --> 00:29:10,320 Speaker 1: on the hood of the car. Nobody stopped. The La 477 00:29:10,400 --> 00:29:14,080 Speaker 1: County Sheriff's deputy Robert Appadaca, he's a specialist in traffic crashes. 478 00:29:14,320 --> 00:29:17,680 Speaker 1: He testified that Rebecca Grossman is traveling traveling seventy one 479 00:29:17,720 --> 00:29:19,960 Speaker 1: miles an hour when she hit the boys. The car 480 00:29:20,000 --> 00:29:23,720 Speaker 1: computer showed seventy three. The older child was thrown two 481 00:29:23,800 --> 00:29:28,440 Speaker 1: hundred and fifty four feet, the farthest that Appadaca has 482 00:29:28,600 --> 00:29:34,720 Speaker 1: ever known a human to be tossed in a crash. 483 00:29:34,800 --> 00:29:37,120 Speaker 1: So the trial's going to start soon. I think that's 484 00:29:37,120 --> 00:29:38,920 Speaker 1: going to be a fascinating one. 485 00:29:39,600 --> 00:29:43,920 Speaker 4: You're listening to John Cobelt on demand from KFI Am 486 00:29:43,960 --> 00:29:44,480 Speaker 4: six forty. 487 00:29:45,200 --> 00:29:47,800 Speaker 1: We're on the radio from one until four and then 488 00:29:47,920 --> 00:29:51,560 Speaker 1: after four o'clock John Cobelt Show on demand. That is 489 00:29:51,600 --> 00:29:56,640 Speaker 1: the podcast. Lisa Smith Camp is going to come on 490 00:29:56,800 --> 00:30:01,200 Speaker 1: with us after three o'clocks three o'clock news that Debra has. 491 00:30:02,200 --> 00:30:05,800 Speaker 1: Lisa's been on the show several times and she's trying 492 00:30:05,800 --> 00:30:08,880 Speaker 1: to get a referendum on the ballot called the Homeless 493 00:30:08,960 --> 00:30:12,440 Speaker 1: Drug Addiction and Theft Reduction Act reverse Prop forty seven. 494 00:30:12,760 --> 00:30:15,520 Speaker 1: There's enough of the debate, enough of the nonsense. We've 495 00:30:15,520 --> 00:30:18,720 Speaker 1: had this experiment now for almost ten years. And she 496 00:30:18,880 --> 00:30:22,640 Speaker 1: said the other day publicly, California has gone mad. Really, 497 00:30:22,840 --> 00:30:26,840 Speaker 1: the lack of accountability and responsibility is affecting everyone. We've 498 00:30:26,840 --> 00:30:29,840 Speaker 1: had more drug addicts than we've ever had, more people committing, 499 00:30:30,200 --> 00:30:33,360 Speaker 1: more theft crimes, more violent crimes, more domestic violence and 500 00:30:33,480 --> 00:30:38,600 Speaker 1: child abuse, and crime is skyrocket it since Prop forty 501 00:30:38,600 --> 00:30:44,240 Speaker 1: seven has passed. So we're gonna have Lisa smithcamp on 502 00:30:44,680 --> 00:30:49,200 Speaker 1: to talk about this new referendum. All right, let me 503 00:30:51,000 --> 00:30:55,280 Speaker 1: there's a story here from NBC four Joel Grover, and 504 00:30:56,440 --> 00:31:01,200 Speaker 1: it's a story on homeless people and their dangerous pets. 505 00:31:02,680 --> 00:31:05,240 Speaker 1: Let's play Joel's piece and you'll get the idea. 506 00:31:05,920 --> 00:31:09,560 Speaker 7: Your dog attack my husband got the inside of my leg. 507 00:31:09,800 --> 00:31:13,200 Speaker 7: Scott Palmer is talking about this dog which sunk its 508 00:31:13,280 --> 00:31:16,240 Speaker 7: teeth into his leg when he was out biking last month. 509 00:31:16,440 --> 00:31:18,800 Speaker 1: You're Marina del Rey cafrip open. 510 00:31:19,480 --> 00:31:23,480 Speaker 7: The very next day, marathon runner Don mcgreel says he 511 00:31:23,600 --> 00:31:26,640 Speaker 7: was attacked by the same dog belonging to the same 512 00:31:26,680 --> 00:31:29,360 Speaker 7: homeless woman well out for a morning run. 513 00:31:29,640 --> 00:31:31,480 Speaker 8: To me, it looked like he had been attacked by there. 514 00:31:31,960 --> 00:31:34,960 Speaker 7: Mcgreil's wife, Celia, wrote about the attack on next door, 515 00:31:35,480 --> 00:31:38,760 Speaker 7: and three more people posted that they or their neighbors 516 00:31:38,840 --> 00:31:41,920 Speaker 7: or their friends were all bitten by the same dog 517 00:31:42,280 --> 00:31:45,480 Speaker 7: on a long leash held by that same homeless woman. 518 00:31:45,720 --> 00:31:48,120 Speaker 8: She looked very strung out. She looked like she could 519 00:31:48,120 --> 00:31:53,360 Speaker 8: be on drugs. The dog looked malnourished, underfed, not while 520 00:31:53,360 --> 00:31:54,000 Speaker 8: taken care of. 521 00:31:54,120 --> 00:31:55,640 Speaker 1: Celia called the LAPD. 522 00:31:56,040 --> 00:31:58,240 Speaker 8: The police department told me that it was out of 523 00:31:58,280 --> 00:31:59,280 Speaker 8: their hands. 524 00:31:59,280 --> 00:32:02,640 Speaker 7: So then he called LA Animal Services. What did you 525 00:32:02,680 --> 00:32:05,000 Speaker 7: want Animal Services to do about this dog? 526 00:32:05,160 --> 00:32:07,080 Speaker 8: Monitor the dog, see if the dog is a threat 527 00:32:07,120 --> 00:32:07,800 Speaker 8: to society? 528 00:32:08,000 --> 00:32:08,480 Speaker 1: What were you. 529 00:32:08,440 --> 00:32:10,320 Speaker 7: Told by Animal Services about this dog? 530 00:32:10,440 --> 00:32:13,160 Speaker 8: They've been instructed from the mayor that they are absolutely 531 00:32:13,200 --> 00:32:16,880 Speaker 8: not allowed to do anything to the homeless, and in 532 00:32:16,920 --> 00:32:19,240 Speaker 8: regards to their animals, they're not allowed to take them 533 00:32:19,240 --> 00:32:21,680 Speaker 8: away even if the dog is dangerous, even if the 534 00:32:21,720 --> 00:32:22,440 Speaker 8: dog is dangerous. 535 00:32:22,480 --> 00:32:27,040 Speaker 7: Across town in the West Valley, another concerned citizen, Fawn Assili, 536 00:32:27,760 --> 00:32:32,040 Speaker 7: also called La Animal Services recently about this dog she 537 00:32:32,120 --> 00:32:34,160 Speaker 7: saw at a homeless encampment in. 538 00:32:34,120 --> 00:32:35,000 Speaker 1: The North Valley. 539 00:32:35,360 --> 00:32:37,360 Speaker 7: You were concerned the dog had no food or water. 540 00:32:37,720 --> 00:32:41,600 Speaker 9: The water dish is upside down with no water, and 541 00:32:41,640 --> 00:32:44,000 Speaker 9: there's no food in the food dish. 542 00:32:44,320 --> 00:32:47,480 Speaker 7: Fawn tried talking to the dog's owner. Are you concerned 543 00:32:47,480 --> 00:32:49,840 Speaker 7: the owners not capable of taking care of the dog? 544 00:32:50,000 --> 00:32:51,040 Speaker 8: That's exactly it. 545 00:32:51,280 --> 00:32:54,040 Speaker 7: Fawn began bringing the dog food and water and a 546 00:32:54,160 --> 00:32:57,240 Speaker 7: tarp to protect it from the rain, and she called 547 00:32:57,400 --> 00:32:58,680 Speaker 7: LA Animal Services. 548 00:32:59,080 --> 00:33:01,160 Speaker 9: The lady said to me, the dog has to be 549 00:33:01,360 --> 00:33:04,160 Speaker 9: in distress for us to do anything. 550 00:33:04,440 --> 00:33:07,960 Speaker 7: The I team wanted answers, so we requested an interview 551 00:33:08,000 --> 00:33:12,040 Speaker 7: with the head of LA Animal Services, Stacy Danes, an 552 00:33:12,080 --> 00:33:15,520 Speaker 7: agency with a twenty seven million dollars a year budget. 553 00:33:15,680 --> 00:33:19,400 Speaker 7: Animal Services did not respond to our interview request or 554 00:33:19,520 --> 00:33:23,120 Speaker 7: comment on specific incidents, but they did send us a 555 00:33:23,200 --> 00:33:28,360 Speaker 7: statement saying the department, if necessary, removes animals from owners 556 00:33:28,360 --> 00:33:32,920 Speaker 7: in cases of abuse and neglect. In addition, animals may 557 00:33:32,920 --> 00:33:36,760 Speaker 7: be removed from the owners if the animal is demonstrating 558 00:33:36,880 --> 00:33:38,840 Speaker 7: potentially dangerous behavior. 559 00:33:39,080 --> 00:33:41,200 Speaker 8: They've been instructed from the mayor that they are. 560 00:33:41,240 --> 00:33:44,080 Speaker 7: And what about the statement that Celia Williamson says she 561 00:33:44,200 --> 00:33:48,560 Speaker 7: heard from two different Animal Services officers that they've been 562 00:33:48,680 --> 00:33:52,320 Speaker 7: ordered by the mayor not to remove animals from homeless people. 563 00:33:52,560 --> 00:33:56,160 Speaker 7: No matter what the agency told the I Team, LA 564 00:33:56,200 --> 00:33:59,680 Speaker 7: Animal Services is under no such order from the mayor. 565 00:34:00,240 --> 00:34:04,120 Speaker 9: Animal Services. Do what you're supposed to do, take care 566 00:34:04,120 --> 00:34:04,760 Speaker 9: of these animals. 567 00:34:04,920 --> 00:34:07,360 Speaker 7: Our viewers who reached out to the IT Team say 568 00:34:07,400 --> 00:34:10,879 Speaker 7: they want to see more action from Animal Services. 569 00:34:10,560 --> 00:34:12,319 Speaker 8: And I want us to feel safe, to be able 570 00:34:12,320 --> 00:34:15,120 Speaker 8: to go out in our neighborhoods and not feel like 571 00:34:15,400 --> 00:34:17,920 Speaker 8: we were living in the wild and can be attacked 572 00:34:17,920 --> 00:34:18,560 Speaker 8: by an animal. 573 00:34:18,719 --> 00:34:18,879 Speaker 6: Now. 574 00:34:18,880 --> 00:34:21,520 Speaker 7: We also heard from the office of La Mayor Karen Bass. 575 00:34:21,719 --> 00:34:24,880 Speaker 7: The mayor's office told us, according to the LAPD and 576 00:34:25,000 --> 00:34:28,719 Speaker 7: Animal Services, they were never under any such direction by 577 00:34:28,719 --> 00:34:31,879 Speaker 7: the mayor to not remove dogs from the homeless. They 578 00:34:31,920 --> 00:34:35,280 Speaker 7: told us. If this was said, it was said independently 579 00:34:35,680 --> 00:34:36,960 Speaker 7: and not behalf. 580 00:34:36,760 --> 00:34:40,200 Speaker 1: Of either department. All right, So which is it? If 581 00:34:40,200 --> 00:34:43,960 Speaker 1: Mayor Bass didn't issue this order, then why do you 582 00:34:43,960 --> 00:34:47,239 Speaker 1: have LA Animal Service employees making that claim? Is it 583 00:34:47,280 --> 00:34:49,759 Speaker 1: because they just don't feel like working that day and 584 00:34:49,800 --> 00:34:52,960 Speaker 1: this is a convenient dodge And who's going to check anyway? Right? 585 00:34:53,560 --> 00:34:56,080 Speaker 1: I mean, Joel Grover can get an answer by calling 586 00:34:56,120 --> 00:34:58,720 Speaker 1: the mayor's office or LA Animal Services. But the average 587 00:34:58,719 --> 00:35:00,439 Speaker 1: person is a good to get an answer. You're gonna 588 00:35:00,440 --> 00:35:03,600 Speaker 1: get a dial tone, you're gonna get a voicemail recording, 589 00:35:04,320 --> 00:35:06,520 Speaker 1: you'll get hung up on. You're not getting at a 590 00:35:06,560 --> 00:35:10,160 Speaker 1: human being telling you the truth. Somebody and you know, 591 00:35:10,360 --> 00:35:12,840 Speaker 1: in the same world, a head of animal Services and 592 00:35:12,920 --> 00:35:14,840 Speaker 1: Karen Bass ought to be forced to go on camera 593 00:35:14,920 --> 00:35:19,520 Speaker 1: together and hash this out. Okay, is there an order mayor? No, 594 00:35:19,600 --> 00:35:22,960 Speaker 1: there's not an order. You hear that, mister Animal Services. 595 00:35:23,000 --> 00:35:25,920 Speaker 1: There's no order, So let's go I mean you're talking 596 00:35:25,960 --> 00:35:28,600 Speaker 1: about and the idea that the dog has to is 597 00:35:28,640 --> 00:35:32,000 Speaker 1: this like the mental patient rule where you can't put 598 00:35:32,120 --> 00:35:39,359 Speaker 1: somebody into a mental health clinic unless they're an imminent danger. Right, 599 00:35:39,400 --> 00:35:41,919 Speaker 1: they have the knife raised over their head and they're 600 00:35:41,920 --> 00:35:45,640 Speaker 1: about to plunge it into somebody and then they can 601 00:35:45,680 --> 00:35:49,279 Speaker 1: be taken away. But if you show up thirty seconds later, 602 00:35:49,320 --> 00:35:51,600 Speaker 1: it's like, oh no, the one was in imminent danger. 603 00:35:53,640 --> 00:35:56,120 Speaker 1: So if you show off the gash in your calf, 604 00:35:58,040 --> 00:36:03,120 Speaker 1: can you get the dog sent to dog prison? Is 605 00:36:03,120 --> 00:36:04,719 Speaker 1: that what it takes? Or do do you have to 606 00:36:04,760 --> 00:36:07,399 Speaker 1: have like a video of the dog taking a bite 607 00:36:07,400 --> 00:36:11,080 Speaker 1: out of your calf. And what about the other story. 608 00:36:11,080 --> 00:36:14,279 Speaker 1: This is not good for the dogs. For the dogs either. 609 00:36:14,320 --> 00:36:17,640 Speaker 1: Like the woman who said the dog water dishes upside down, 610 00:36:17,680 --> 00:36:19,160 Speaker 1: there's no water in it, there's no food in the 611 00:36:19,160 --> 00:36:22,160 Speaker 1: food dish. The dog house was tipped over. There's feces 612 00:36:22,160 --> 00:36:23,320 Speaker 1: in urine all over the ground. 613 00:36:24,239 --> 00:36:26,919 Speaker 3: Well, well, the dog needs to be emaciated before they'll 614 00:36:26,960 --> 00:36:29,680 Speaker 3: do anything, apparently, exactly does. 615 00:36:29,480 --> 00:36:34,120 Speaker 1: The dog have to be gasping begging for care? That's ridiculous, 616 00:36:34,440 --> 00:36:37,840 Speaker 1: LA Animal Services. So Joel Grover can make a ruckus 617 00:36:37,880 --> 00:36:40,359 Speaker 1: over one or two cases, right, but then everything's going 618 00:36:40,400 --> 00:36:42,040 Speaker 1: to go back the next day. There should be no 619 00:36:42,600 --> 00:36:46,360 Speaker 1: homeless people with animals. That should not be a thing, okay, 620 00:36:46,680 --> 00:36:49,640 Speaker 1: because they abuse the animals, They neglect the animals, the 621 00:36:49,680 --> 00:36:52,839 Speaker 1: animals go crazy, the owners are crazy. The whole lot 622 00:36:52,880 --> 00:36:55,799 Speaker 1: of them should be taken off the streets. Nobody should 623 00:36:55,840 --> 00:36:58,640 Speaker 1: be living on the streets, not these mental patient owners, 624 00:36:59,000 --> 00:37:02,680 Speaker 1: not the mental patient dogs. Again, are we gonna wake 625 00:37:02,760 --> 00:37:05,040 Speaker 1: up from our bad dream here? Wake up and break 626 00:37:05,080 --> 00:37:08,760 Speaker 1: away from the cult. Nobody had this before. We didn't 627 00:37:08,760 --> 00:37:12,399 Speaker 1: never live like this. This is probably these rules and regulations. 628 00:37:12,760 --> 00:37:17,080 Speaker 1: Just no, just everybody, say no. Dogs are gone, humans 629 00:37:17,120 --> 00:37:20,480 Speaker 1: are gone, all the crazy people and the drug addicts. 630 00:37:20,640 --> 00:37:25,640 Speaker 1: Everybody's gone. You're all locked up, or leave town. Take 631 00:37:25,719 --> 00:37:29,239 Speaker 1: you and your dog out to the desert somewhere. You 632 00:37:29,280 --> 00:37:31,319 Speaker 1: gotta wait. Don't know you could do that. Yeah, we 633 00:37:31,360 --> 00:37:34,600 Speaker 1: can't do that. We just do it. Look at all 634 00:37:34,600 --> 00:37:36,680 Speaker 1: the other cities in the country, they don't have this crap. 635 00:37:37,440 --> 00:37:40,120 Speaker 1: Debor Mark is live in the KFI twenty for our newsroom. Hey, 636 00:37:40,440 --> 00:37:43,000 Speaker 1: you've been listening to the John Covelt Show podcast. You 637 00:37:43,000 --> 00:37:45,600 Speaker 1: can always hear the show live on KFI Am six 638 00:37:45,680 --> 00:37:48,400 Speaker 1: forty from one to four pm every Monday through Friday, 639 00:37:48,440 --> 00:37:51,720 Speaker 1: and of course, anytime on demand on the iHeartRadio app.