1 00:00:00,680 --> 00:00:00,880 Speaker 1: Can't. 2 00:00:01,000 --> 00:00:02,080 Speaker 2: I am six forty. 3 00:00:02,120 --> 00:00:05,560 Speaker 3: You're listening to the John Cobelt podcast on the iHeartRadio app. 4 00:00:06,360 --> 00:00:08,920 Speaker 3: Every day we do this from one to four o'clock, 5 00:00:09,560 --> 00:00:12,880 Speaker 3: and after four o'clock it gets posted as a podcast. 6 00:00:13,000 --> 00:00:16,400 Speaker 3: John Cobelt' Show on demand also on the iHeart app. Well, 7 00:00:17,040 --> 00:00:20,320 Speaker 3: woke up this morning to news that the great actor 8 00:00:20,400 --> 00:00:23,360 Speaker 3: Gene Hackman was dead at the age of ninety five. 9 00:00:23,640 --> 00:00:28,880 Speaker 3: And the story was odd because his wife, who he's 10 00:00:28,920 --> 00:00:31,320 Speaker 3: been married to I think for about thirty four years, 11 00:00:31,680 --> 00:00:36,200 Speaker 3: she's much younger, sixty four years old, and she's dead too, 12 00:00:36,400 --> 00:00:39,800 Speaker 3: and one of their dogs was dead, and so the 13 00:00:39,880 --> 00:00:41,280 Speaker 3: first thing you think, I've all must have been like 14 00:00:41,360 --> 00:00:45,199 Speaker 3: carbon monoxide poisoning. And then a few hours later we 15 00:00:45,280 --> 00:00:48,920 Speaker 3: find out that they've may have been dead for I 16 00:00:48,920 --> 00:00:52,400 Speaker 3: don't know two weeks. The wife was in particularly bad condition. 17 00:00:52,600 --> 00:00:56,080 Speaker 3: We've got Alex Stone for maybec News now to tell 18 00:00:56,160 --> 00:00:59,680 Speaker 3: us what the latest is. Heyo, John, Yeah, So not 19 00:00:59,800 --> 00:01:02,920 Speaker 3: yet clear how they died, and they are calling it 20 00:01:03,000 --> 00:01:06,040 Speaker 3: suspicious in the sense that their front door was open 21 00:01:06,280 --> 00:01:08,440 Speaker 3: and two people and a dog are dead inside of 22 00:01:08,640 --> 00:01:11,880 Speaker 3: a home that they they don't know what killed them. 23 00:01:11,920 --> 00:01:13,600 Speaker 3: So they've got to make sure it wasn't a crime, 24 00:01:14,000 --> 00:01:17,040 Speaker 3: but that the sheriff in Santa Fe County was telling 25 00:01:17,080 --> 00:01:20,000 Speaker 3: us today that no signs of foul play, no signs 26 00:01:20,000 --> 00:01:22,480 Speaker 3: of trauma, no signs of how they died at all. 27 00:01:22,520 --> 00:01:25,160 Speaker 3: They were not shot, they were not stabbed, they were 28 00:01:25,160 --> 00:01:28,360 Speaker 3: not strangled. But they won't rule out that it was 29 00:01:28,400 --> 00:01:30,680 Speaker 3: a crime until they can figure out that it wasn't. 30 00:01:30,959 --> 00:01:33,240 Speaker 3: And a lot of little aspects of this can be 31 00:01:33,959 --> 00:01:37,679 Speaker 3: explained away that it sounds suspicious, but then you say, yeah, 32 00:01:37,720 --> 00:01:39,480 Speaker 3: but what if this happened, what did that happened? The 33 00:01:39,520 --> 00:01:40,559 Speaker 3: sheriff told us this today. 34 00:01:40,600 --> 00:01:42,720 Speaker 4: We're not ruling it out. What I what I did 35 00:01:42,760 --> 00:01:47,960 Speaker 4: state was was there was no obvious sign or indication of, 36 00:01:48,320 --> 00:01:50,960 Speaker 4: you know, all foul play. There was no immediate sign 37 00:01:51,000 --> 00:01:53,360 Speaker 4: of foul play. I haven't ruled that out yet. This 38 00:01:53,440 --> 00:01:55,880 Speaker 4: is an investigation, so we're keeping everything on the table. 39 00:01:55,960 --> 00:01:58,040 Speaker 3: So as you mentioned one thing that multiple people being 40 00:01:58,040 --> 00:02:00,600 Speaker 3: dead inside of a home along with an animal as well, 41 00:02:00,800 --> 00:02:04,880 Speaker 3: that would typically be gas, that would normally be carbon monoxide, 42 00:02:04,920 --> 00:02:06,400 Speaker 3: and that may be what this is. 43 00:02:07,080 --> 00:02:09,120 Speaker 2: The sheriff saying that may have been what killed them. 44 00:02:09,200 --> 00:02:09,960 Speaker 2: They just don't know. 45 00:02:09,960 --> 00:02:12,760 Speaker 4: On our experience and working on cases like this, that 46 00:02:12,960 --> 00:02:16,600 Speaker 4: is a possibility. Because of that, we called in the 47 00:02:16,639 --> 00:02:18,960 Speaker 4: fire department. We called in P and M to go 48 00:02:19,080 --> 00:02:21,600 Speaker 4: through the house do some testing to figure out if 49 00:02:21,639 --> 00:02:23,480 Speaker 4: it was even safe for our officers to go in 50 00:02:23,600 --> 00:02:25,680 Speaker 4: and process the scene and execute the warrant. 51 00:02:25,760 --> 00:02:27,400 Speaker 3: But so the gas company in the fire department, they 52 00:02:27,440 --> 00:02:29,520 Speaker 3: found no signs of a gas leak. There was no 53 00:02:29,639 --> 00:02:32,760 Speaker 3: gas in the home. But the time period that they 54 00:02:32,760 --> 00:02:34,799 Speaker 3: may have been dead, it appears that they were dead 55 00:02:34,840 --> 00:02:38,680 Speaker 3: for a very long time. Betsy Arkawa, Hackman's wife, she 56 00:02:38,919 --> 00:02:43,799 Speaker 3: was mummified and he was quite decomposed. So if there 57 00:02:43,840 --> 00:02:46,639 Speaker 3: was a leak of some kind, it could have vented 58 00:02:46,680 --> 00:02:49,200 Speaker 3: out through the doggy door that the two surviving dogs 59 00:02:49,240 --> 00:02:52,200 Speaker 3: were using, or the front door which was open over 60 00:02:52,280 --> 00:02:55,320 Speaker 3: many weeks, or in the case of being mummified, many months, 61 00:02:56,120 --> 00:02:59,080 Speaker 3: they don't know. And she had a space heater next 62 00:02:59,080 --> 00:03:01,440 Speaker 3: to her head that may played a role in creating 63 00:03:02,040 --> 00:03:03,800 Speaker 3: a gas if that's what it was. 64 00:03:03,840 --> 00:03:04,800 Speaker 2: That the sheriff said. 65 00:03:04,600 --> 00:03:07,280 Speaker 4: They had been diseased deceased for quite a while. 66 00:03:07,400 --> 00:03:10,720 Speaker 3: The other thing is John much unlike California, where we're 67 00:03:10,720 --> 00:03:13,120 Speaker 3: getting all these search warrn documents and know all this 68 00:03:13,240 --> 00:03:16,280 Speaker 3: already and already getting the nine one one call, which 69 00:03:16,320 --> 00:03:20,280 Speaker 3: California typically no longer releases. We're here in the nine 70 00:03:20,320 --> 00:03:23,560 Speaker 3: one one call made by a caretaker of the gated neighborhood, 71 00:03:23,600 --> 00:03:25,960 Speaker 3: not their caretaker, but got like a security guy of 72 00:03:26,000 --> 00:03:29,160 Speaker 3: their gated neighborhood. He was alerted by an exterminator that 73 00:03:29,280 --> 00:03:31,799 Speaker 3: something wasn't right. That typically at ninety five years old, 74 00:03:31,880 --> 00:03:35,040 Speaker 3: Gene Hackman was home and the front door was open 75 00:03:35,080 --> 00:03:38,320 Speaker 3: and nobody was responding, So he went to the security guy, 76 00:03:38,320 --> 00:03:40,600 Speaker 3: and the security guy called nine one one. He looked 77 00:03:40,760 --> 00:03:42,560 Speaker 3: after looking in the window, could see that there were 78 00:03:42,640 --> 00:03:44,520 Speaker 3: bodies in there, that people were down. He didn't know 79 00:03:44,520 --> 00:03:47,680 Speaker 3: if they needed medical aid, and they weren't moving, and 80 00:03:47,760 --> 00:03:49,600 Speaker 3: he called nine one one. A female in the mail 81 00:03:49,640 --> 00:03:51,200 Speaker 3: probably I don't know, I don't know if I's just 82 00:03:51,240 --> 00:03:53,520 Speaker 3: send somebody up here real quick. Just send somebody up 83 00:03:53,520 --> 00:03:56,760 Speaker 3: here real quick. Deputies responded. They made entry through the 84 00:03:57,040 --> 00:04:00,920 Speaker 3: open front door. They immediately found our cop down in 85 00:04:00,960 --> 00:04:04,080 Speaker 3: the bathroom and there were pills around. 86 00:04:04,120 --> 00:04:05,240 Speaker 2: We don't know what those pills were. 87 00:04:05,320 --> 00:04:08,600 Speaker 3: Could have been ibuprofen if she had a headache from 88 00:04:08,760 --> 00:04:11,160 Speaker 3: carbon monoxide and was looking for something. It was in 89 00:04:11,200 --> 00:04:14,840 Speaker 3: a prescription bottle. Next to her was the dead German 90 00:04:14,880 --> 00:04:17,840 Speaker 3: shepherd in a kennel who could not get away from 91 00:04:17,880 --> 00:04:21,000 Speaker 3: whatever the threat was. And then Gene Hackman was in 92 00:04:21,000 --> 00:04:23,520 Speaker 3: a mud room and investigated next to the kitchen, and 93 00:04:23,640 --> 00:04:26,320 Speaker 3: investigators say it looks like he fell suddenly. He was 94 00:04:26,360 --> 00:04:29,920 Speaker 3: walking and fell. His sunglasses were a little ways away 95 00:04:29,920 --> 00:04:32,480 Speaker 3: from him, like he threw them as he was going down. 96 00:04:33,000 --> 00:04:33,960 Speaker 2: But they don't know. 97 00:04:34,080 --> 00:04:35,840 Speaker 3: They say it's going to take an autopsy to know 98 00:04:35,920 --> 00:04:40,240 Speaker 3: why they died, and assuming they do toxicology, that can 99 00:04:40,279 --> 00:04:43,680 Speaker 3: take many weeks even months in some cases to run 100 00:04:43,720 --> 00:04:46,719 Speaker 3: those tests on the blood, so they may be waiting 101 00:04:46,800 --> 00:04:48,960 Speaker 3: quite a while to know why they died. And who 102 00:04:49,000 --> 00:04:51,440 Speaker 3: was the guy who finally went into the house, Well, 103 00:04:51,480 --> 00:04:53,880 Speaker 3: it was a They were deputies who went in once 104 00:04:54,040 --> 00:04:59,320 Speaker 3: they finally came. But the community caretaker or security guard. 105 00:04:59,520 --> 00:05:01,760 Speaker 3: He looked through the windows and called nine one, but 106 00:05:01,800 --> 00:05:02,760 Speaker 3: he actually going. 107 00:05:03,040 --> 00:05:05,640 Speaker 2: I saw caretaker and I wondered it couldn't be Yeah. 108 00:05:06,240 --> 00:05:09,240 Speaker 3: Yeah, he's more of like, you know, the security guy 109 00:05:09,400 --> 00:05:12,400 Speaker 3: of their neighborhood. They had a big home, six acres, 110 00:05:12,480 --> 00:05:16,400 Speaker 3: eight thousand square feet three million dollars. Yeah, The other 111 00:05:16,480 --> 00:05:20,400 Speaker 3: buildings on the property were sealed up, they were locked. 112 00:05:20,440 --> 00:05:23,600 Speaker 3: There were no signs of forest entry, nothing had been 113 00:05:23,680 --> 00:05:26,599 Speaker 3: rummaged through. So they got to figure out was this 114 00:05:26,880 --> 00:05:29,800 Speaker 3: carbon monoxide, which looks like the most likely scenario, but 115 00:05:29,839 --> 00:05:32,160 Speaker 3: they got to figure out where it came from. Was 116 00:05:32,200 --> 00:05:35,280 Speaker 3: it a crime of some kind? No indicator of that, 117 00:05:35,400 --> 00:05:38,640 Speaker 3: but maybe was it. There were even theories out there 118 00:05:38,680 --> 00:05:41,960 Speaker 3: because it appears that she was more decomposed than he was. 119 00:05:42,440 --> 00:05:45,280 Speaker 3: What if she had something go on a while back 120 00:05:45,640 --> 00:05:50,000 Speaker 3: and had a medical emergency and the dog was locked 121 00:05:50,000 --> 00:05:52,440 Speaker 3: in there and couldn't get out and starved or whatever, 122 00:05:52,480 --> 00:05:55,080 Speaker 3: but at ninety five years old, that that he wasn't 123 00:05:55,080 --> 00:05:58,160 Speaker 3: able to react appropriately to her right and that then 124 00:05:58,240 --> 00:05:59,719 Speaker 3: he had a medical emergency. It was kind of a 125 00:05:59,720 --> 00:06:02,839 Speaker 3: hard tack or whatever, and then eventually he went down. 126 00:06:03,160 --> 00:06:06,520 Speaker 3: But it looks like that he had been dead for weeks. 127 00:06:06,520 --> 00:06:09,680 Speaker 3: Probably she had been dead for weeks to months. Mummification 128 00:06:09,880 --> 00:06:14,359 Speaker 3: can take many months or yeah, or a couple of 129 00:06:14,360 --> 00:06:17,320 Speaker 3: weeks in a dry, hot environment, So there's a lot 130 00:06:17,400 --> 00:06:19,960 Speaker 3: we don't know. The most typically when we cover stories 131 00:06:20,000 --> 00:06:22,960 Speaker 3: like this, it's whatever. All these theories that come up 132 00:06:22,960 --> 00:06:27,839 Speaker 3: in stories, it's normally the most straightforward, most likely thing 133 00:06:27,880 --> 00:06:30,360 Speaker 3: that they went down, which would probably be carbon monoxide, 134 00:06:30,400 --> 00:06:30,880 Speaker 3: but they don't know. 135 00:06:31,080 --> 00:06:32,160 Speaker 2: That's that's see. 136 00:06:32,200 --> 00:06:35,679 Speaker 3: That is like a truism of life that the answer 137 00:06:35,839 --> 00:06:38,840 Speaker 3: is usually the easiest answer in murders. You know that, 138 00:06:39,000 --> 00:06:41,279 Speaker 3: not that this is but in murder cases, hey, you, 139 00:06:41,279 --> 00:06:43,200 Speaker 3: we'll hear all these well what if the killer did 140 00:06:43,200 --> 00:06:45,680 Speaker 3: this and did that, and then this happened, and then 141 00:06:45,680 --> 00:06:47,359 Speaker 3: it turns out to be the most simple where you go, 142 00:06:47,360 --> 00:06:49,560 Speaker 3: oh yeah, that was probably it. This is probably gonna 143 00:06:49,560 --> 00:06:51,200 Speaker 3: be one of those where you go, oh yeah, yeah, yeah, 144 00:06:51,200 --> 00:06:54,440 Speaker 3: well you I remember during the oj trial I learned 145 00:06:54,440 --> 00:06:57,719 Speaker 3: to this concept. I think one of the prosecutors laid 146 00:06:57,720 --> 00:06:59,839 Speaker 3: it out. It's like, look, you could come up with, 147 00:07:00,120 --> 00:07:03,039 Speaker 3: let's say, a one in one hundred possibility for a 148 00:07:03,080 --> 00:07:06,640 Speaker 3: specific piece of evidence, but you can't stack up ten 149 00:07:06,680 --> 00:07:08,719 Speaker 3: pieces of evidence that have a one in one hundred 150 00:07:08,760 --> 00:07:12,040 Speaker 3: possibility because now the odds of all these things happening 151 00:07:12,120 --> 00:07:15,960 Speaker 3: are astronomical, right, and conspiracy theories are the same way 152 00:07:15,960 --> 00:07:18,040 Speaker 3: where you go, Okay, it could have gone that way, 153 00:07:18,080 --> 00:07:21,120 Speaker 3: but it probably was the most simple way of just 154 00:07:21,160 --> 00:07:22,960 Speaker 3: what what happens every day. Yeah, well, I think the 155 00:07:23,040 --> 00:07:27,200 Speaker 3: mummification was pretty stunning. I mean, if they've been dead 156 00:07:27,240 --> 00:07:29,880 Speaker 3: for a couple of weeks or more, it's kind of 157 00:07:29,920 --> 00:07:33,320 Speaker 3: odd that nobody was. Yeah, the Danners say at ninety five, 158 00:07:33,400 --> 00:07:35,480 Speaker 3: he never really went out any longer. We know he 159 00:07:35,520 --> 00:07:37,440 Speaker 3: had daughters. They put out a statement today saying that 160 00:07:37,440 --> 00:07:39,280 Speaker 3: they're going to miss their dad. But maybe they didn't 161 00:07:39,320 --> 00:07:41,640 Speaker 3: call them or they left the messages. And you know, 162 00:07:42,280 --> 00:07:44,320 Speaker 3: that's a good reason. Why if you got folks who 163 00:07:44,320 --> 00:07:46,040 Speaker 3: are alive, to give them a call every day or 164 00:07:46,080 --> 00:07:48,400 Speaker 3: you know, once a week and just say mom and dad, 165 00:07:48,400 --> 00:07:50,440 Speaker 3: how you doing. Make sure they're not mamma fine, that 166 00:07:50,520 --> 00:07:53,559 Speaker 3: is true. Uh, thank you very much, Alex Stone, ABC News, 167 00:07:53,680 --> 00:07:54,000 Speaker 3: You got it. 168 00:07:54,000 --> 00:07:55,120 Speaker 2: Thanks all right. 169 00:07:55,160 --> 00:07:58,640 Speaker 3: When we come back, we've got clips and I haven't 170 00:07:58,640 --> 00:08:05,000 Speaker 3: I haven't heard this. Karen bad took questions and since 171 00:08:05,360 --> 00:08:08,280 Speaker 3: first time since firing Kristin Crowley, and we have a 172 00:08:08,320 --> 00:08:11,320 Speaker 3: clip of Alex Michaelson from Fox eleven. He got the 173 00:08:11,360 --> 00:08:15,040 Speaker 3: bombshell story a week or two ago when he asked 174 00:08:15,520 --> 00:08:20,200 Speaker 3: Karen Bass about why she went to Ghana and she 175 00:08:20,680 --> 00:08:24,760 Speaker 3: claimed that she wasn't aware of the fire warnings. Well, 176 00:08:25,280 --> 00:08:31,880 Speaker 3: Alex talked to Newsom yesterday about his new second podcast, 177 00:08:32,200 --> 00:08:34,440 Speaker 3: which is being distributed by iHeart Media. 178 00:08:34,480 --> 00:08:36,079 Speaker 2: By the way, you're. 179 00:08:35,920 --> 00:08:40,839 Speaker 5: Listening to John Cobelt on demand from KFI AM six forty. 180 00:08:42,160 --> 00:08:46,000 Speaker 3: Moistline last call here because tomorrow is Moistline Friday eight 181 00:08:46,080 --> 00:08:48,880 Speaker 3: seven seven Moist Dady six eight seven seven, Moist eighty 182 00:08:48,920 --> 00:08:54,920 Speaker 3: six call and just unleash whatever fevers or burning inside you. 183 00:08:54,920 --> 00:08:58,560 Speaker 3: You could also use the talkback feature on the iHeartRadio app. 184 00:08:59,600 --> 00:09:03,559 Speaker 3: I had i'd mentioned last hour we talked about cowmatters 185 00:09:03,840 --> 00:09:07,680 Speaker 3: dot org had an extensive series of stories on the 186 00:09:07,760 --> 00:09:11,960 Speaker 3: failures they like just near total failure of the homeless 187 00:09:12,080 --> 00:09:15,120 Speaker 3: racket in the state and in the city, and how 188 00:09:16,480 --> 00:09:19,520 Speaker 3: one of the biggest failures in the whole system is shelters. 189 00:09:21,160 --> 00:09:23,480 Speaker 3: More than three quarters of people who end up in 190 00:09:23,520 --> 00:09:28,160 Speaker 3: shelters never get any kind of permanent housing, and thousands 191 00:09:28,200 --> 00:09:31,360 Speaker 3: of them die in the shelters, and many of them 192 00:09:31,400 --> 00:09:34,040 Speaker 3: get beat up and sexually abused. 193 00:09:34,040 --> 00:09:35,520 Speaker 2: This is where your tax money is going. 194 00:09:35,559 --> 00:09:40,359 Speaker 3: Imagine you're spending tax money that's rooted to these nonprofits 195 00:09:40,760 --> 00:09:46,480 Speaker 3: who hire people who beat up and sexually abuse they're 196 00:09:46,480 --> 00:09:51,520 Speaker 3: homeless clients, and then two thousand of them have died 197 00:09:51,600 --> 00:09:55,280 Speaker 3: in the shelters in the last few years. And what 198 00:09:55,360 --> 00:09:58,600 Speaker 3: I didn't mention and I should have, is that at 199 00:09:58,600 --> 00:10:02,920 Speaker 3: the end of the story said they had contacted Governor 200 00:10:02,960 --> 00:10:07,640 Speaker 3: Newsom's office about all these issues, right, I mean, you 201 00:10:07,760 --> 00:10:12,760 Speaker 3: have dead homeless people, beaten up homeless people, raped, homeless people, 202 00:10:13,600 --> 00:10:16,680 Speaker 3: billions of dollars wasted, most of them never getting into housing. 203 00:10:17,600 --> 00:10:21,839 Speaker 3: Governor Newsom's office did not respond to repeated requests for interviews, 204 00:10:23,600 --> 00:10:26,480 Speaker 3: referring all questions to other state agencies. It's like, we 205 00:10:26,520 --> 00:10:30,640 Speaker 3: don't have the time for this because they know that 206 00:10:30,679 --> 00:10:32,440 Speaker 3: all this is going on, so they're not going to 207 00:10:32,480 --> 00:10:34,080 Speaker 3: talk publicly on the record about it. 208 00:10:34,360 --> 00:10:34,920 Speaker 2: They don't care. 209 00:10:36,120 --> 00:10:40,239 Speaker 3: You know what Gavin Newsom has time for, though, another podcast? 210 00:10:41,320 --> 00:10:43,640 Speaker 3: Not only now is the old one still running, the 211 00:10:43,640 --> 00:10:45,280 Speaker 3: one with Marshawn Lynch, And. 212 00:10:45,160 --> 00:10:47,480 Speaker 6: I think, oh it is. I thought this was replacing that. 213 00:10:47,960 --> 00:10:50,640 Speaker 2: No, I believe it's still running. Two of them. 214 00:10:50,640 --> 00:10:56,720 Speaker 3: He's going to have now. iHeartMedia carries these. Alex Michaelson 215 00:10:56,760 --> 00:11:00,600 Speaker 3: from Fox eleven asked Newsom yesterday if this new podcast 216 00:11:00,760 --> 00:11:03,600 Speaker 3: is essential to his day job. 217 00:11:04,080 --> 00:11:05,960 Speaker 7: People that might say that's a bit of a distraction 218 00:11:06,040 --> 00:11:08,520 Speaker 7: from your day job. I'd say it's essential for my 219 00:11:08,600 --> 00:11:11,920 Speaker 7: day job. It's an opportunity to communicate people were respecting 220 00:11:11,960 --> 00:11:14,240 Speaker 7: all of you directly. The world's changed, we need to 221 00:11:14,320 --> 00:11:16,559 Speaker 7: change with it in terms of how we communicate and 222 00:11:17,480 --> 00:11:21,200 Speaker 7: continue additional touch points have two way conversations, which were 223 00:11:21,240 --> 00:11:23,480 Speaker 7: part of that podcast as well, in terms of having 224 00:11:23,480 --> 00:11:26,160 Speaker 7: people being able to gauge me directly. And I want 225 00:11:26,200 --> 00:11:29,160 Speaker 7: to engage people that often I engage with in private 226 00:11:29,559 --> 00:11:31,160 Speaker 7: and make public those conversations. 227 00:11:31,160 --> 00:11:32,520 Speaker 2: And I think that's what inspired this. 228 00:11:32,679 --> 00:11:35,840 Speaker 8: I had some interesting conversations with people I deeply disagree with, 229 00:11:36,760 --> 00:11:38,560 Speaker 8: and we found a lot of common ground, and I 230 00:11:38,600 --> 00:11:41,240 Speaker 8: just thought I wish I said to someone one of 231 00:11:41,240 --> 00:11:43,880 Speaker 8: those conversations, said, wish this has been recorded, because I 232 00:11:43,920 --> 00:11:46,520 Speaker 8: think it would distill a sense of well being people 233 00:11:47,200 --> 00:11:47,960 Speaker 8: that you know went. 234 00:11:47,880 --> 00:11:51,480 Speaker 3: On hate stop stop stop, distill a sense of well 235 00:11:51,760 --> 00:11:52,400 Speaker 3: well being? 236 00:11:53,200 --> 00:11:55,960 Speaker 2: What does that mean? That would distill a sense of 237 00:11:56,000 --> 00:11:56,520 Speaker 2: well being? 238 00:11:57,280 --> 00:12:02,400 Speaker 3: And also another phrase he used, touch points, I don't 239 00:12:03,520 --> 00:12:06,000 Speaker 3: I don't want him touching like touch points. 240 00:12:06,080 --> 00:12:06,840 Speaker 6: I don't think he will. 241 00:12:08,440 --> 00:12:09,320 Speaker 2: I thought another thing. 242 00:12:09,200 --> 00:12:10,560 Speaker 3: I'd ask him if I could be a guest on 243 00:12:10,559 --> 00:12:13,840 Speaker 3: this podcast, Yeah, why did you lie to that Palisades mother, 244 00:12:13,920 --> 00:12:16,719 Speaker 3: that was you were talking to Joe Biden trying to 245 00:12:16,760 --> 00:12:18,280 Speaker 3: find a cell phone signal that day. 246 00:12:18,480 --> 00:12:21,160 Speaker 9: Keep your list so when Ray gets you on, you 247 00:12:21,240 --> 00:12:22,079 Speaker 9: have it right there. 248 00:12:22,360 --> 00:12:24,080 Speaker 3: And why did you go around from on saying Joe 249 00:12:24,080 --> 00:12:28,160 Speaker 3: Biden was not s Nile. That's a good one. Now 250 00:12:28,240 --> 00:12:32,760 Speaker 3: this podcast is about him having conversations with right wing guys. 251 00:12:33,480 --> 00:12:36,040 Speaker 3: It's got nothing to do with you know, two thousand 252 00:12:36,120 --> 00:12:38,360 Speaker 3: homeless people dying in shelters. 253 00:12:37,880 --> 00:12:41,760 Speaker 2: Does it? That's what I'm saying. These huge problems and 254 00:12:41,760 --> 00:12:42,640 Speaker 2: he wants to talk. 255 00:12:42,800 --> 00:12:46,400 Speaker 3: He wants to try to convince right wing commentators or 256 00:12:46,440 --> 00:12:48,800 Speaker 3: podcasters a waste of time. 257 00:12:49,640 --> 00:12:51,400 Speaker 2: Would you like to fix. 258 00:12:51,160 --> 00:12:53,920 Speaker 3: The roads, get the criminals in prison, don't release the 259 00:12:53,960 --> 00:12:59,640 Speaker 3: Menendez brothers, for example, get get the Palisades and out 260 00:12:59,640 --> 00:13:03,040 Speaker 3: the DEMI rebuilt quicker instead of sitting there and you 261 00:13:03,080 --> 00:13:05,240 Speaker 3: will you and the other guy, It'll be what one 262 00:13:05,320 --> 00:13:09,640 Speaker 3: big I can't use that phrase. I'm tired of that. 263 00:13:09,960 --> 00:13:10,240 Speaker 2: All right. 264 00:13:10,280 --> 00:13:15,119 Speaker 3: Here's Karen Bass. This is from KTLA five Alina Abovian. 265 00:13:16,040 --> 00:13:19,520 Speaker 3: Bass actually took questions from the press first time since 266 00:13:19,600 --> 00:13:20,680 Speaker 3: Kristin Crowley was fired. 267 00:13:20,880 --> 00:13:23,480 Speaker 10: Mary Karen Bashi held this press conference to talk about 268 00:13:23,480 --> 00:13:26,160 Speaker 10: the city's efforts when it comes to rebuilding and recovery, 269 00:13:26,360 --> 00:13:29,520 Speaker 10: but quickly the conversation switched to the controversy about the 270 00:13:29,559 --> 00:13:30,400 Speaker 10: city's leadership. 271 00:13:30,520 --> 00:13:34,120 Speaker 11: If more firefighters had been on the job, there would 272 00:13:34,200 --> 00:13:36,720 Speaker 11: not have been forty idle fire. 273 00:13:36,440 --> 00:13:40,479 Speaker 10: Trucks after days. Without addressing the controversy over the dismissal 274 00:13:40,520 --> 00:13:44,080 Speaker 10: of La City fire Chief Kristin Crowley, Mary Karen Bass 275 00:13:44,120 --> 00:13:47,120 Speaker 10: took questions which went right to resources at the time 276 00:13:47,160 --> 00:13:51,160 Speaker 10: of the Palisades fire, specifically forty fire engines and whether 277 00:13:51,240 --> 00:13:54,280 Speaker 10: they were in working order or not, a claim made 278 00:13:54,320 --> 00:13:57,160 Speaker 10: by the president of the fire union earlier this week 279 00:13:57,360 --> 00:14:00,600 Speaker 10: who said there weren't enough working engines the morning of 280 00:14:00,640 --> 00:14:05,000 Speaker 10: the fire. The mayor, refuting that to Katay's Annie Rose Ramos. 281 00:14:04,760 --> 00:14:07,520 Speaker 5: Mayor of Bass, the one thousand firefighters sent home with 282 00:14:07,520 --> 00:14:09,920 Speaker 5: fire unions as there weren't trucks or engines to put 283 00:14:09,960 --> 00:14:10,680 Speaker 5: firefighters in. 284 00:14:10,800 --> 00:14:14,240 Speaker 12: Other sorts of say, there were forty trucks and available 285 00:14:14,240 --> 00:14:14,960 Speaker 12: to that correct. 286 00:14:15,240 --> 00:14:19,520 Speaker 11: However, there are fire trucks that need repair. The fire 287 00:14:19,560 --> 00:14:23,360 Speaker 11: department needs mechanics, there is no question about that. But 288 00:14:23,920 --> 00:14:27,720 Speaker 11: one thousand firefighters, many of those firefighters would have been 289 00:14:27,760 --> 00:14:30,280 Speaker 11: able to be on the forty fires. 290 00:14:30,280 --> 00:14:34,800 Speaker 2: Stop stop, stop a second. See, I wish you'd be a. 291 00:14:34,800 --> 00:14:38,680 Speaker 3: Good podcast Newsom having Bass on, and maybe Newsom could 292 00:14:38,680 --> 00:14:41,760 Speaker 3: ask Bass, why do you only fund fifty percent of 293 00:14:41,760 --> 00:14:44,720 Speaker 3: the fire department? Why do you have a hundred fire 294 00:14:44,800 --> 00:14:48,440 Speaker 3: trucks that are broken, busted and you don't have enough mechanics? 295 00:14:48,680 --> 00:14:53,520 Speaker 2: How is it possible? That's what he should do. He 296 00:14:53,560 --> 00:14:54,280 Speaker 2: should act like me. 297 00:14:56,240 --> 00:14:59,040 Speaker 3: In fact, I should be a host on this podcast, 298 00:14:59,440 --> 00:15:00,480 Speaker 3: questioning the two of them. 299 00:15:01,400 --> 00:15:02,120 Speaker 6: Let's do it. 300 00:15:02,880 --> 00:15:04,720 Speaker 2: See they'd never do that. They would never come on. 301 00:15:05,640 --> 00:15:09,880 Speaker 9: They go to Maybe they've never heard you, John, so 302 00:15:09,960 --> 00:15:12,040 Speaker 9: maybe they think you're this nice friendly host. 303 00:15:12,320 --> 00:15:14,680 Speaker 3: If Kevin de Leone can come on anything as possible, 304 00:15:14,960 --> 00:15:15,600 Speaker 3: that's true. 305 00:15:16,200 --> 00:15:19,560 Speaker 2: Oh, I could see Newsom someday coming on Bass. 306 00:15:19,600 --> 00:15:23,200 Speaker 6: Never, but now she hasn't been warned about you yet. 307 00:15:24,600 --> 00:15:30,040 Speaker 2: She might have no. We used to roust her up. 308 00:15:30,080 --> 00:15:31,480 Speaker 2: She used to be the assembly speaker. 309 00:15:31,640 --> 00:15:31,880 Speaker 5: I know. 310 00:15:32,240 --> 00:15:35,880 Speaker 3: Yeah, so we had a clever nickname for her back then. 311 00:15:37,280 --> 00:15:39,000 Speaker 3: Where was I Oh, let me play more of this 312 00:15:39,280 --> 00:15:40,040 Speaker 3: from Channel five. 313 00:15:40,240 --> 00:15:41,280 Speaker 11: I'm the forty five. 314 00:15:41,640 --> 00:15:44,400 Speaker 4: So there were engines and trucks available to put those 315 00:15:44,400 --> 00:15:45,200 Speaker 4: firefighters in. 316 00:15:45,280 --> 00:15:49,120 Speaker 10: Forty This press conference was to announce a milestone achievement, 317 00:15:49,320 --> 00:15:53,160 Speaker 10: the completion of Phase one debris removal, months ahead of schedule, 318 00:15:53,480 --> 00:15:56,520 Speaker 10: but the conversation kept steering back to the controversy over 319 00:15:56,640 --> 00:16:01,160 Speaker 10: lack of communication, like why Councilman marquise As Dawson, who 320 00:16:01,240 --> 00:16:03,640 Speaker 10: was acting mayor while Bass was out of the country, 321 00:16:03,960 --> 00:16:06,120 Speaker 10: did not declare the city was in a state of 322 00:16:06,160 --> 00:16:09,480 Speaker 10: emergency until hours after the fire was raging. 323 00:16:09,840 --> 00:16:13,400 Speaker 11: When that should be declared, I think is one issue. 324 00:16:13,480 --> 00:16:16,560 Speaker 11: I'm not sure that that had any direct difference in 325 00:16:16,680 --> 00:16:19,000 Speaker 11: terms of what was happening with the fires right then. 326 00:16:19,240 --> 00:16:20,000 Speaker 2: It's not like the. 327 00:16:19,960 --> 00:16:25,920 Speaker 11: Emergency declaration was holding up the efforts to defeat the fires. 328 00:16:26,120 --> 00:16:29,120 Speaker 10: The mayor also again being forced to address why she 329 00:16:29,200 --> 00:16:32,880 Speaker 10: didn't immediately return to La. Photos have shown Bass and 330 00:16:32,960 --> 00:16:37,200 Speaker 10: Ghana attending a cocktail party taken hours after the Palisades 331 00:16:37,240 --> 00:16:38,120 Speaker 10: fire broke out. 332 00:16:38,560 --> 00:16:40,840 Speaker 11: You do gain time coming back, but I will tell 333 00:16:40,880 --> 00:16:44,120 Speaker 11: you that it's not like there's hourly flights from Acra 334 00:16:44,320 --> 00:16:45,960 Speaker 11: Ghana to the United States. 335 00:16:46,680 --> 00:16:49,400 Speaker 2: Wait. Stop. We gain time coming back. 336 00:16:51,240 --> 00:16:53,960 Speaker 3: Because you're passing through the time zones, but that doesn't 337 00:16:54,000 --> 00:16:57,800 Speaker 3: reverse time. It's not like the fires go into reverse 338 00:16:58,480 --> 00:17:02,520 Speaker 3: like you're rolling back film. She actually, well, we gain 339 00:17:02,680 --> 00:17:06,480 Speaker 3: time coming No, no, it's the same amount of time. 340 00:17:08,200 --> 00:17:10,920 Speaker 3: If it took you twelve hours to fly from Africa, 341 00:17:11,000 --> 00:17:14,080 Speaker 3: that was twelve hours of the fire burning. We gain 342 00:17:14,240 --> 00:17:18,080 Speaker 3: time coming back. Holy moly, that is pathological. Ho'd you 343 00:17:18,119 --> 00:17:20,959 Speaker 3: even think of that? We gain Oh yeah, yeah. When 344 00:17:21,000 --> 00:17:26,639 Speaker 3: you fly from east to west, you're going backwards in time. 345 00:17:27,320 --> 00:17:31,879 Speaker 3: So when I went backwards in time, the fire just diminished. 346 00:17:31,880 --> 00:17:35,600 Speaker 3: There was like twelve hours less of fire. You know, 347 00:17:35,800 --> 00:17:39,520 Speaker 3: I'm just gonna go. I'm gonna go. I I am 348 00:17:39,600 --> 00:17:41,800 Speaker 3: I have to do We need you, John, I can't 349 00:17:41,800 --> 00:17:50,240 Speaker 3: do this. You gain time coming back. By time she landed, 350 00:17:50,359 --> 00:17:53,000 Speaker 3: there was no fire, just as if it never happened. 351 00:17:55,720 --> 00:17:59,800 Speaker 5: You're listening to John Cobels on demand from KFI A. 352 00:18:01,400 --> 00:18:01,600 Speaker 2: Earl. 353 00:18:01,680 --> 00:18:06,040 Speaker 3: In the show, we mentioned Huntington Park. The La Times 354 00:18:06,040 --> 00:18:10,440 Speaker 3: has a new story. I love the headline. Huntington Park 355 00:18:10,520 --> 00:18:13,960 Speaker 3: was promised a twenty four million dollar pool complex. It 356 00:18:14,040 --> 00:18:16,520 Speaker 3: was never built. Where did the money go? 357 00:18:17,520 --> 00:18:17,600 Speaker 7: Now? 358 00:18:17,640 --> 00:18:19,000 Speaker 2: That's up the twenty four million. 359 00:18:19,600 --> 00:18:22,720 Speaker 3: Last news story, it was fourteen million, twenty four Where 360 00:18:22,720 --> 00:18:26,360 Speaker 3: did the money go? It was an aquatics center, an 361 00:18:26,359 --> 00:18:30,840 Speaker 3: Olympic sized pool. In twenty nineteen, the plans were announced 362 00:18:31,480 --> 00:18:34,760 Speaker 3: and as the vice mayor said, all there is is 363 00:18:34,760 --> 00:18:38,920 Speaker 3: an empty lot with dead grass. So it's been six 364 00:18:39,000 --> 00:18:44,560 Speaker 3: years now Where did the money go? Nathan Hockman is investigating, 365 00:18:44,800 --> 00:18:48,560 Speaker 3: and a whole bunch of politicians, including the mayor, got rousted. 366 00:18:48,640 --> 00:18:51,640 Speaker 3: They the warrants at their homes, and that question keeps 367 00:18:51,640 --> 00:18:54,200 Speaker 3: coming up, you know, like I said, high speed rail, 368 00:18:54,280 --> 00:18:58,600 Speaker 3: where did the money go? Like the homeless, the billions those, where. 369 00:18:58,440 --> 00:18:59,040 Speaker 2: Did the money go? 370 00:19:00,200 --> 00:19:03,879 Speaker 3: Like the thirty to fifty billion in unemployment COVID money, 371 00:19:03,920 --> 00:19:08,119 Speaker 3: Where did the money go? You realize how much is 372 00:19:08,160 --> 00:19:14,159 Speaker 3: stolen and wasted. The evidence keeps piling up. When's the 373 00:19:14,240 --> 00:19:17,560 Speaker 3: great revolt happening? I mean, how many times can you 374 00:19:18,080 --> 00:19:22,600 Speaker 3: be robbed? Like if your house is broken into? Eventually, 375 00:19:23,000 --> 00:19:24,720 Speaker 3: I mean, if you broke it into a half dozen times, 376 00:19:24,760 --> 00:19:28,720 Speaker 3: you're gonna take action. Right, You're gonna buy, You're gonna move, 377 00:19:29,440 --> 00:19:31,760 Speaker 3: You're gonna buy a big gun, You're gonna get a 378 00:19:31,840 --> 00:19:38,800 Speaker 3: vicious dog. You're gonna do something. Also along those lines 379 00:19:40,280 --> 00:19:45,399 Speaker 3: is a story that and apparently this was discovered some 380 00:19:45,600 --> 00:19:51,240 Speaker 3: years ago, and now Elon Musk is rehighlighting it. Actually 381 00:19:51,320 --> 00:19:54,960 Speaker 3: it was discovered last year by an arm of the government, 382 00:19:55,040 --> 00:19:57,159 Speaker 3: federal government. Do you know how much money has been 383 00:19:57,200 --> 00:20:01,080 Speaker 3: improperly paid by the federal government in the last twenty years? 384 00:20:02,000 --> 00:20:08,560 Speaker 3: Two point seven trillion dollars two point seven trillion. And 385 00:20:08,600 --> 00:20:13,320 Speaker 3: that's just not a wild musk claim. You know, they 386 00:20:13,320 --> 00:20:17,520 Speaker 3: had said a massive government fraud. It turns out that 387 00:20:19,280 --> 00:20:24,560 Speaker 3: the US Government Accountability Office found exactly that in March 388 00:20:24,600 --> 00:20:25,600 Speaker 3: of twenty twenty four. 389 00:20:25,840 --> 00:20:28,240 Speaker 2: That's their job. They're the Accountability Office. 390 00:20:28,400 --> 00:20:31,040 Speaker 3: It's supposed to be a non part is in office, 391 00:20:31,280 --> 00:20:35,760 Speaker 3: and it's all the federal agencies since two thousand and three, 392 00:20:36,359 --> 00:20:40,040 Speaker 3: but much of it's in Medicare and Medicaid. Two point 393 00:20:40,160 --> 00:20:49,360 Speaker 3: seven trillion dollars true story, which means like it's over 394 00:20:49,400 --> 00:20:53,120 Speaker 3: twenty years. I mean that that is just That's why 395 00:20:53,119 --> 00:20:56,040 Speaker 3: I don't want to pay taxes. I have no patience 396 00:20:56,080 --> 00:21:00,119 Speaker 3: for these wieners. You have to pay your fair share attax. Like, no, oh, 397 00:21:00,760 --> 00:21:03,760 Speaker 3: I paid it. I paid way more than my fair share. 398 00:21:05,000 --> 00:21:07,679 Speaker 3: Your crowd keeps stealing the money. In fact, if you 399 00:21:07,680 --> 00:21:10,359 Speaker 3: ever hear a politician or anybody in the bureaucracy start 400 00:21:10,359 --> 00:21:14,679 Speaker 3: battling about fair share of taxes, odds are they're the 401 00:21:14,680 --> 00:21:22,959 Speaker 3: ones stealing the money. Now, Trump had a I had 402 00:21:22,960 --> 00:21:26,240 Speaker 3: his cabinet meeting and Musk was there, and at the 403 00:21:26,320 --> 00:21:29,320 Speaker 3: end of the meeting he went off on a tirade 404 00:21:29,480 --> 00:21:33,880 Speaker 3: and announced that the country has gotten bloated, fat, and disgusting. 405 00:21:35,240 --> 00:21:37,639 Speaker 2: And I heard that. It's like, did he mean the people? 406 00:21:37,680 --> 00:21:38,600 Speaker 2: Because I agree with that. 407 00:21:38,640 --> 00:21:45,040 Speaker 3: If you go you stand around in a grocery line, 408 00:21:44,680 --> 00:21:50,000 Speaker 3: do grocery line analysis, fat, bloated and disgusting, or in 409 00:21:50,040 --> 00:21:51,840 Speaker 3: their go look on an airline. 410 00:21:52,040 --> 00:21:54,440 Speaker 6: You were being very unkind. 411 00:21:55,320 --> 00:21:59,040 Speaker 2: But accurate some kind when you point out the truth. 412 00:22:01,880 --> 00:22:06,720 Speaker 3: And he also he also seconded the idea of Elon 413 00:22:06,840 --> 00:22:11,800 Speaker 3: Musk asking people, what do you do all day? Name 414 00:22:11,880 --> 00:22:14,840 Speaker 3: five things you did that again? Yeah, yeah, I can't 415 00:22:14,880 --> 00:22:17,680 Speaker 3: believe a controversy over that. Well, I'll be honest when 416 00:22:17,680 --> 00:22:20,439 Speaker 3: I when I saw that, I kind of chuckled, But 417 00:22:20,480 --> 00:22:22,000 Speaker 3: I didn't think it was outrageous at all. 418 00:22:22,040 --> 00:22:24,560 Speaker 6: And you thought I was so crazy for questioning. 419 00:22:24,119 --> 00:22:28,680 Speaker 3: It, Well, because you didn't seem you were stumped by 420 00:22:28,680 --> 00:22:29,280 Speaker 3: how to answer. 421 00:22:29,400 --> 00:22:31,720 Speaker 6: Well, just because again it just seemed too. 422 00:22:34,359 --> 00:22:35,239 Speaker 2: Oh is that why is that? 423 00:22:35,240 --> 00:22:38,640 Speaker 6: The five different things that I five. 424 00:22:38,400 --> 00:22:40,879 Speaker 3: Things you've done? I mean, you can come up with 425 00:22:40,880 --> 00:22:43,240 Speaker 3: five components to your job. Yes, or you do the 426 00:22:43,240 --> 00:22:45,720 Speaker 3: same job five days a week, or there are five 427 00:22:45,760 --> 00:22:48,280 Speaker 3: benefits to what you do. I'll get a timer ready, 428 00:22:48,320 --> 00:22:51,040 Speaker 3: let's do it. Did we ever test her on what 429 00:22:51,080 --> 00:22:51,480 Speaker 3: she does? 430 00:22:51,960 --> 00:22:52,040 Speaker 7: No? 431 00:22:52,680 --> 00:22:55,240 Speaker 3: All right, can you do thirty seconds? Could you do 432 00:22:55,359 --> 00:22:56,800 Speaker 3: your five things in thirty seconds? 433 00:22:56,840 --> 00:22:57,240 Speaker 6: Sure? 434 00:22:57,640 --> 00:22:57,959 Speaker 2: All right? 435 00:22:58,000 --> 00:23:02,480 Speaker 3: You got a timer ready. Now, if you need extra time, 436 00:23:02,520 --> 00:23:07,200 Speaker 3: we'll grant you a ten second. All right, go ahead. 437 00:23:07,200 --> 00:23:07,480 Speaker 11: Okay. 438 00:23:07,600 --> 00:23:10,760 Speaker 9: I come in here, and I read the wires, I 439 00:23:10,760 --> 00:23:15,920 Speaker 9: put the news together. I record news for the FM stations. 440 00:23:16,040 --> 00:23:18,800 Speaker 9: I'm constantly looking at the TV to make sure that 441 00:23:18,840 --> 00:23:20,840 Speaker 9: I'm not missing breaking news stories. 442 00:23:21,280 --> 00:23:25,240 Speaker 6: I go on the air and present the news. Boom five. 443 00:23:25,480 --> 00:23:27,840 Speaker 2: Look at that. You do that in seventeen seconds? 444 00:23:27,880 --> 00:23:28,120 Speaker 3: Seven? 445 00:23:28,320 --> 00:23:30,800 Speaker 6: He seems silly. All of that just seems silly to me. 446 00:23:30,960 --> 00:23:32,639 Speaker 6: Do you know that's that's how I'm. 447 00:23:32,520 --> 00:23:38,040 Speaker 3: Gonna Yeah, thousands of government workers protesting and getting angry, 448 00:23:38,119 --> 00:23:43,440 Speaker 3: and you had these big debates going on television, and 449 00:23:45,200 --> 00:23:47,880 Speaker 3: a reporter had questioned him, saying, you mentioned you're interested 450 00:23:47,880 --> 00:23:50,320 Speaker 3: in doing another round of this email. When would you 451 00:23:50,440 --> 00:23:52,560 Speaker 3: like to see that, What would be the deadline and 452 00:23:52,600 --> 00:23:55,080 Speaker 3: would it be mandatory this time? Because they changed the 453 00:23:55,119 --> 00:23:58,240 Speaker 3: rule and said, okay, it's voluntary, and Trump said, well, 454 00:23:58,240 --> 00:23:59,840 Speaker 3: I think Elon wants to. And I think it's a 455 00:24:00,800 --> 00:24:03,080 Speaker 3: because these people, they're on the bubble. You got a 456 00:24:03,119 --> 00:24:05,280 Speaker 3: lot of people that have not responded. So we're trying 457 00:24:05,320 --> 00:24:10,560 Speaker 3: to figure out do they exist, who are they? And 458 00:24:10,600 --> 00:24:12,520 Speaker 3: it's possible that a lot of these people will actually 459 00:24:12,560 --> 00:24:15,000 Speaker 3: be fired. And if that happened, that's okay, because that's 460 00:24:15,040 --> 00:24:19,200 Speaker 3: what we're trying to do. The country has gotten bloated, fat, disgusting, 461 00:24:19,280 --> 00:24:22,960 Speaker 3: and incompetently run. And then he went off on Biden. 462 00:24:23,359 --> 00:24:25,080 Speaker 3: I think we had the worst president in the history 463 00:24:25,080 --> 00:24:27,520 Speaker 3: of our country. I think he's a disgrace what he's 464 00:24:27,560 --> 00:24:30,639 Speaker 3: done to the country, allowing millions of people to come in, 465 00:24:30,760 --> 00:24:33,399 Speaker 3: or all the other things like inflation which he caused 466 00:24:33,400 --> 00:24:36,320 Speaker 3: because of energy. It's stupid spending to spend hundreds of millions, 467 00:24:36,400 --> 00:24:38,959 Speaker 3: trillions and trillions of dollars on the green new scam, 468 00:24:38,960 --> 00:24:41,080 Speaker 3: in total scam. That's a good one. That is a 469 00:24:41,080 --> 00:24:42,560 Speaker 3: good rant, very comprehensive. 470 00:24:42,840 --> 00:24:44,840 Speaker 2: But he's right, He's absolutely right. 471 00:24:45,000 --> 00:24:49,439 Speaker 3: That's you know, for some reason, and I mean, I'm 472 00:24:49,480 --> 00:24:52,119 Speaker 3: always puzzled by religions, which always gets me into trouble. 473 00:24:52,160 --> 00:24:54,640 Speaker 3: Like I don't get organized religions. I don't get why 474 00:24:54,680 --> 00:24:57,360 Speaker 3: people believe what they believe. But I understand you get 475 00:24:57,440 --> 00:25:00,479 Speaker 3: raised in because I was raised in Catholic clture, and 476 00:25:00,520 --> 00:25:03,119 Speaker 3: so you know, there's always a little bit of nostalgia 477 00:25:03,280 --> 00:25:06,160 Speaker 3: for all the rituals and the holidays and this and that, 478 00:25:06,920 --> 00:25:08,480 Speaker 3: and for a lot of people, it's more of a 479 00:25:08,520 --> 00:25:12,520 Speaker 3: cultural thing than the actual, you know, deep seated belief system. 480 00:25:12,760 --> 00:25:13,200 Speaker 2: I don't. 481 00:25:13,200 --> 00:25:15,000 Speaker 3: I don't believe in all the miracles that they teach 482 00:25:15,040 --> 00:25:19,080 Speaker 3: stuff like that, But to treat government like it is 483 00:25:19,160 --> 00:25:23,480 Speaker 3: some sort of religious experience really is mind biding to me. 484 00:25:23,960 --> 00:25:28,760 Speaker 3: I don't understand the reverence that a lot of progressive 485 00:25:28,760 --> 00:25:32,000 Speaker 3: people have for the government and for spending the money 486 00:25:32,200 --> 00:25:35,600 Speaker 3: on the programs and this this deep seated belief that 487 00:25:35,680 --> 00:25:38,320 Speaker 3: all this money is meant for good things and we'll 488 00:25:38,320 --> 00:25:41,440 Speaker 3: make lives better, when clearly it doesn't. You see, I'm 489 00:25:41,560 --> 00:25:45,480 Speaker 3: I'm understand trying it. It's like, Okay, you got your program, 490 00:25:45,640 --> 00:25:48,679 Speaker 3: here's your ten million dollars. Let's see what happens. But 491 00:25:48,840 --> 00:25:52,119 Speaker 3: once you fail, it's like that shelter story I was 492 00:25:52,160 --> 00:25:55,600 Speaker 3: talking about, you know, one of the researcher says, it 493 00:25:55,720 --> 00:25:58,159 Speaker 3: is a big fail. You know, you've tried pouring billions 494 00:25:58,200 --> 00:26:01,600 Speaker 3: of dollars into forcing people into shelters and they end 495 00:26:01,720 --> 00:26:04,800 Speaker 3: up dying or getting beat up or sexually abused, and 496 00:26:05,080 --> 00:26:08,040 Speaker 3: they never end up in housing, So like, what are 497 00:26:08,040 --> 00:26:12,159 Speaker 3: we doing here? So when something fails, it fails, But 498 00:26:12,320 --> 00:26:14,800 Speaker 3: you know, then greed kicks in and it becomes a 499 00:26:14,800 --> 00:26:15,399 Speaker 3: big racket. 500 00:26:17,720 --> 00:26:18,640 Speaker 2: And I'm convinced. 501 00:26:18,800 --> 00:26:23,360 Speaker 3: You know, politicians who keep passing bills to spend homeless 502 00:26:23,440 --> 00:26:27,760 Speaker 3: racket money and taxes for the homeless racket, they're getting cuts, 503 00:26:27,760 --> 00:26:28,800 Speaker 3: They're getting kickbacks. 504 00:26:28,920 --> 00:26:29,560 Speaker 2: They gotta be. 505 00:26:31,040 --> 00:26:33,040 Speaker 3: I think I think there are a lot of kickbacks 506 00:26:33,080 --> 00:26:35,159 Speaker 3: going on. Like you know at the border with the 507 00:26:35,200 --> 00:26:37,840 Speaker 3: drug cartels, why would you let the drug cartels send 508 00:26:37,840 --> 00:26:40,320 Speaker 3: billions of drugs into this country and kill tens of 509 00:26:40,359 --> 00:26:43,399 Speaker 3: thousands of people? Because somehow the politicians are getting the 510 00:26:43,440 --> 00:26:45,679 Speaker 3: cut of this. It's got to be there. It's the 511 00:26:45,680 --> 00:26:47,960 Speaker 3: only explanation, and that I would understand. Hey, you're getting 512 00:26:47,960 --> 00:26:50,680 Speaker 3: the cut and you keep your fingerprints off. It's like sure, 513 00:26:51,520 --> 00:26:55,119 Speaker 3: all right, more coming up, my dark, cynical, jaded world. 514 00:26:56,119 --> 00:27:01,800 Speaker 5: You're listening to John Cobels on demand from KFI. 515 00:27:01,880 --> 00:27:04,920 Speaker 3: Conway coming up in just a few minutes. Yesterday we 516 00:27:05,040 --> 00:27:09,000 Speaker 3: mentioned that there was a pull out in Chicago. They 517 00:27:09,440 --> 00:27:13,119 Speaker 3: have a mayor, Brandon Johnson, a progressive uh and his 518 00:27:13,160 --> 00:27:17,280 Speaker 3: approval rating is six percent, six point six percent to 519 00:27:17,320 --> 00:27:19,960 Speaker 3: be exact, which I have never seen. I have never 520 00:27:19,960 --> 00:27:23,360 Speaker 3: seen a major political figure with an approval rating that low. 521 00:27:24,520 --> 00:27:28,119 Speaker 3: And the reasons in the same poll, and this was 522 00:27:28,119 --> 00:27:33,000 Speaker 3: from M three Strategies, and they pulled people about ten 523 00:27:33,080 --> 00:27:37,560 Speaker 3: days ago, no, not even a week ago. The top 524 00:27:37,760 --> 00:27:40,399 Speaker 3: issues and listen carefully what the top issues are to 525 00:27:41,000 --> 00:27:44,280 Speaker 3: normal people. I can't explain why they voted for this guy, 526 00:27:44,600 --> 00:27:48,840 Speaker 3: but their issues. Sixty seven percent said crime was one 527 00:27:48,880 --> 00:27:54,240 Speaker 3: of the top three issues. Fifty four percent said high taxes, 528 00:27:56,200 --> 00:27:59,680 Speaker 3: forty one percent set inflation. Those were the top three 529 00:27:59,720 --> 00:28:08,080 Speaker 3: issues right that tracks crime, high taxes, inflation. The bottom 530 00:28:08,160 --> 00:28:13,679 Speaker 3: issues were racism eleven percent, nobody wanted to hear more 531 00:28:13,720 --> 00:28:20,119 Speaker 3: about that, reproductive freedoms four percent in Chicago, which is 532 00:28:20,160 --> 00:28:26,440 Speaker 3: overwhelming the Democratic and then LGBDQ writes three percent, like nobody, 533 00:28:26,880 --> 00:28:31,440 Speaker 3: even among Democrats in Chicago, which is a very progressive city, 534 00:28:31,680 --> 00:28:32,960 Speaker 3: they don't want to hear about all that stuff. 535 00:28:32,960 --> 00:28:33,400 Speaker 2: Anymore. 536 00:28:33,880 --> 00:28:35,919 Speaker 3: They're pissed off about the crime, the high taxes, and 537 00:28:35,960 --> 00:28:40,160 Speaker 3: the inflation. Now, get this, seventy percent of those polled, 538 00:28:40,160 --> 00:28:44,440 Speaker 3: though said they voted for Kamala has only eighteen percent 539 00:28:44,600 --> 00:28:50,520 Speaker 3: voted for Trump. See, everybody's pissed off about progressive policies, 540 00:28:50,920 --> 00:28:52,440 Speaker 3: but you ask them who they're going to vote for, 541 00:28:52,640 --> 00:29:03,720 Speaker 3: and it's another progressive. People are angry at the current 542 00:29:03,760 --> 00:29:08,239 Speaker 3: progressive They're angry about the progressive policies that led to 543 00:29:08,720 --> 00:29:14,280 Speaker 3: all this crime and economic trouble. But then you ask them, well, 544 00:29:14,320 --> 00:29:16,880 Speaker 3: who's the last person you voted for Kamala Harris. Oh, 545 00:29:17,720 --> 00:29:22,959 Speaker 3: all right, well, I guess it's hopeless. In the last 546 00:29:23,280 --> 00:29:27,480 Speaker 3: three years in Chicago, robberies are up sixteen percent, burglary fifteen, 547 00:29:27,880 --> 00:29:32,440 Speaker 3: theft fifty seven percent, car theft one hundred and six percent. 548 00:29:34,360 --> 00:29:39,200 Speaker 3: The number of seven major felony offenses murder, rape, robbery, assault, burglary, 549 00:29:39,240 --> 00:29:43,000 Speaker 3: grand largely grand larceny of a car up forty four 550 00:29:43,080 --> 00:29:47,800 Speaker 3: percent in three years. So they give a failure rating 551 00:29:47,840 --> 00:29:52,680 Speaker 3: to to Brandon Johnson. But they'd vote for Kamala Harris 552 00:29:52,720 --> 00:29:56,760 Speaker 3: if they had a chance. We have Tim Conny's wrong 553 00:29:56,800 --> 00:29:59,200 Speaker 3: with you? I did that the other day with Mark Thompson. 554 00:29:59,240 --> 00:30:03,000 Speaker 12: You know, he says he's he's really anti crime, he's 555 00:30:03,520 --> 00:30:07,920 Speaker 12: you know, I'm financially he's more conservative than everybody thinks. 556 00:30:08,360 --> 00:30:10,000 Speaker 12: And I said, okay, so I got a pen and 557 00:30:10,040 --> 00:30:13,040 Speaker 12: a piece of paper. I'll start writing down the people 558 00:30:13,120 --> 00:30:16,160 Speaker 12: who you voted for who are also very conservative. 559 00:30:16,600 --> 00:30:20,480 Speaker 2: Shoot, when you're ready. You're cruel to him? 560 00:30:20,880 --> 00:30:24,000 Speaker 1: Yes, well he deserves it. He deserves it, constantly taunted. 561 00:30:24,120 --> 00:30:29,040 Speaker 1: He deserves it because he's a loser. All right, that's 562 00:30:29,040 --> 00:30:32,479 Speaker 1: it from a line from my Fox News. All right, 563 00:30:32,720 --> 00:30:35,160 Speaker 1: Alex Stone is coming out with us. He's looking at 564 00:30:35,640 --> 00:30:39,080 Speaker 1: Gene Hackman. I thought Gene Hackman died fifteen years ago. 565 00:30:39,720 --> 00:30:43,280 Speaker 3: Yeah, no, he was not in good condition, ninety five 566 00:30:43,360 --> 00:30:43,760 Speaker 3: years old. 567 00:30:43,840 --> 00:30:46,400 Speaker 12: And when they initially came out with that story today 568 00:30:46,440 --> 00:30:48,800 Speaker 12: that Gene Hackman, his wife, and his dog all died 569 00:30:49,160 --> 00:30:52,640 Speaker 12: and they said nothing suspicious, I'm like what, Yeah, wait, 570 00:30:52,960 --> 00:30:55,440 Speaker 12: everybody in the house dies all of a sudden about 571 00:30:55,520 --> 00:30:56,880 Speaker 12: natural causes. 572 00:30:56,800 --> 00:30:57,880 Speaker 2: And the wife's mauma fight. 573 00:30:58,080 --> 00:31:00,480 Speaker 12: Yeah right, there's nothing to look at here, nothing to 574 00:31:00,480 --> 00:31:03,000 Speaker 12: look at here. And then we got the Michael Monks 575 00:31:03,040 --> 00:31:06,840 Speaker 12: coming on Plus at five pm. They are going to 576 00:31:06,840 --> 00:31:08,800 Speaker 12: tomorrow is supposed to be a stay away from the mall, 577 00:31:08,920 --> 00:31:11,240 Speaker 12: stay away from the store's day, which is really dumb. 578 00:31:11,240 --> 00:31:14,320 Speaker 2: It's really stupid. It really is dumb. A Target doesn't care, 579 00:31:14,760 --> 00:31:15,720 Speaker 2: Costco doesn't care. 580 00:31:15,920 --> 00:31:18,600 Speaker 3: But stay away from the stores tomorrow, just one day. 581 00:31:18,680 --> 00:31:20,960 Speaker 3: You'll you'll catch up on Saturday. 582 00:31:21,080 --> 00:31:21,240 Speaker 2: Right. 583 00:31:21,400 --> 00:31:23,400 Speaker 12: These stores are all going out of business anyway because 584 00:31:23,400 --> 00:31:26,280 Speaker 12: everyone's stealing and the you know, the economy wasn't great 585 00:31:26,320 --> 00:31:28,480 Speaker 12: for you know, three four years. Yeah, and now you're 586 00:31:28,480 --> 00:31:31,280 Speaker 12: going to punish them, Yeah, we're and so you're going 587 00:31:31,320 --> 00:31:33,880 Speaker 12: to reduce all of your options to Amazon. 588 00:31:34,880 --> 00:31:36,800 Speaker 2: Great, Great, that'll work out. 589 00:31:36,960 --> 00:31:40,200 Speaker 3: Yeah, they're living like it's twenty twenty. Like they don't 590 00:31:40,280 --> 00:31:45,280 Speaker 3: understand that era has passed, it's over. They're they're fighting 591 00:31:45,280 --> 00:31:47,840 Speaker 3: the old war. Yeah, with old with the old guns, 592 00:31:47,960 --> 00:31:50,800 Speaker 3: of the old guns. Yeah, this is this is this 593 00:31:50,960 --> 00:31:51,840 Speaker 3: is just kind of silly. 594 00:31:52,160 --> 00:31:52,760 Speaker 2: It's a movie. 595 00:31:53,000 --> 00:31:54,960 Speaker 3: I'm not I'm not going to go shop tomorrow because 596 00:31:55,200 --> 00:31:57,920 Speaker 3: who's telling me this? Like who decided this? Where'd you 597 00:31:57,960 --> 00:32:01,720 Speaker 3: find your phone yesterday? Oh god, that was three hours 598 00:32:01,720 --> 00:32:03,400 Speaker 3: to me. Look at you look for your phone for 599 00:32:03,440 --> 00:32:05,640 Speaker 3: three hours here after you're done with the show. Yeah, 600 00:32:05,680 --> 00:32:09,080 Speaker 3: and I had to find my iPhone app on my iPad, 601 00:32:09,360 --> 00:32:11,760 Speaker 3: and it kept insisting it was in a specific spot 602 00:32:12,560 --> 00:32:15,080 Speaker 3: out on the freeway. Well for a while it was 603 00:32:15,120 --> 00:32:17,200 Speaker 3: supposedly sitting on the edge of the freeway. 604 00:32:17,280 --> 00:32:18,480 Speaker 2: I even went out looked. 605 00:32:18,760 --> 00:32:21,240 Speaker 3: I couldn't believe it because you know, you can't jump 606 00:32:21,280 --> 00:32:23,240 Speaker 3: out of these windows. You can't climb over the fence 607 00:32:23,280 --> 00:32:25,120 Speaker 3: to go look for it. I got a security guard 608 00:32:25,160 --> 00:32:27,920 Speaker 3: who opened up the fence. So I was straddling this 609 00:32:28,040 --> 00:32:30,440 Speaker 3: like this dirt berm, this little ill. 610 00:32:30,960 --> 00:32:32,920 Speaker 12: But you had to have a I know we're running 611 00:32:32,920 --> 00:32:34,720 Speaker 12: a little late here, sorry, Eric, but you had to 612 00:32:34,760 --> 00:32:36,840 Speaker 12: have a moment John. When you're on the one thirty 613 00:32:36,840 --> 00:32:39,880 Speaker 12: four freeway and it's dark at six thirty you got 614 00:32:39,880 --> 00:32:41,240 Speaker 12: a flashlight looking for your phone. 615 00:32:41,360 --> 00:32:43,680 Speaker 2: You had to ad a moment of how the f 616 00:32:43,760 --> 00:32:45,600 Speaker 2: did I get here? Yes? I did. 617 00:32:45,920 --> 00:32:47,920 Speaker 3: It's like, what am I doing? And why am I 618 00:32:48,000 --> 00:32:49,960 Speaker 3: looking for this? Why does this even matter? 619 00:32:50,320 --> 00:32:53,360 Speaker 2: Right? Because if you took it, actually I realized it. 620 00:32:53,520 --> 00:32:57,840 Speaker 3: I don't want the phone. The phones disappeared, I'd be happy. 621 00:32:57,960 --> 00:33:00,960 Speaker 12: I've come to work sometimes or three times a year, 622 00:33:01,040 --> 00:33:03,600 Speaker 12: I come to work and Bellio says, hey, I just 623 00:33:03,680 --> 00:33:06,320 Speaker 12: text you something At six o'clock. I'm like, oh, I 624 00:33:06,760 --> 00:33:08,880 Speaker 12: just realized I'm on my phone with me. Excuse me, 625 00:33:09,240 --> 00:33:11,960 Speaker 12: give me your phone since three o'clock you just realized, like, yeah, 626 00:33:12,160 --> 00:33:13,720 Speaker 12: I don't really use it that much. 627 00:33:13,960 --> 00:33:15,800 Speaker 2: Yeah, I go all day. We should go back to that. 628 00:33:16,400 --> 00:33:16,640 Speaker 3: I know. 629 00:33:16,800 --> 00:33:17,000 Speaker 2: I know. 630 00:33:17,120 --> 00:33:18,800 Speaker 3: I get in trouble every day because my wife said, 631 00:33:18,840 --> 00:33:19,960 Speaker 3: well did you get what I sent? 632 00:33:20,120 --> 00:33:20,239 Speaker 7: Oh? 633 00:33:20,280 --> 00:33:22,680 Speaker 2: I know, And she don't really tell you about twelve things. 634 00:33:22,920 --> 00:33:25,080 Speaker 2: If you don't respond in eight seconds, you're done. I know. 635 00:33:25,200 --> 00:33:28,800 Speaker 3: No that ad is a woman thing. That's the instantaneous response. Well, 636 00:33:29,280 --> 00:33:32,000 Speaker 3: I'm a woman like that. Michael Kruzer, who actually was 637 00:33:32,040 --> 00:33:34,280 Speaker 3: the one who returned the fat of me right crouch, 638 00:33:34,800 --> 00:33:37,560 Speaker 3: unless you know he's the one who took it. Oh, 639 00:33:37,640 --> 00:33:39,480 Speaker 3: I know where it is yours the hall, I know 640 00:33:39,520 --> 00:33:40,040 Speaker 3: where it is. 641 00:33:40,240 --> 00:33:43,400 Speaker 2: Why do you know where it is? Good one? Well, 642 00:33:43,480 --> 00:33:46,000 Speaker 2: thank you, Michael. I got early April fool's joke. 643 00:33:46,160 --> 00:33:48,440 Speaker 3: All right, we've got a crusher with the news live 644 00:33:48,480 --> 00:33:50,000 Speaker 3: in the CAFI twenty four hour newsroom. 645 00:33:50,040 --> 00:33:52,920 Speaker 2: Hey, you've been listening to the John Cobalt Show podcast. 646 00:33:53,000 --> 00:33:55,480 Speaker 3: You can always hear the show live on KFI AM 647 00:33:55,520 --> 00:33:58,480 Speaker 3: six forty from one to four pm every Monday through Friday, 648 00:33:58,520 --> 00:34:01,800 Speaker 3: and of course anytime onto band on the iHeartRadio app.