1 00:00:00,680 --> 00:00:00,880 Speaker 1: Can't. 2 00:00:01,000 --> 00:00:03,720 Speaker 2: I am six forty. You're listening to the John Cobelt 3 00:00:03,760 --> 00:00:07,800 Speaker 2: podcast on the iHeartRadio app. It's John Cobelt's show. We're 4 00:00:07,800 --> 00:00:10,239 Speaker 2: on every day from one until four o'clock and then 5 00:00:10,280 --> 00:00:13,800 Speaker 2: after four o'clock John Cobelt's Show on demand. That is 6 00:00:13,840 --> 00:00:16,400 Speaker 2: the podcast version, and it's the same as radio show 7 00:00:16,840 --> 00:00:19,919 Speaker 2: as the radio show, and you listen to what you missed. 8 00:00:20,800 --> 00:00:22,960 Speaker 2: We have two runs of the Moistline coming up at 9 00:00:23,040 --> 00:00:28,840 Speaker 2: about three twenty or so and three fifty. Now, as 10 00:00:28,880 --> 00:00:33,840 Speaker 2: if there isn't enough like dangerous out in the world 11 00:00:33,880 --> 00:00:40,960 Speaker 2: in difficulties, right, the Internet has really transformed people's psyches. 12 00:00:41,440 --> 00:00:46,240 Speaker 2: You know, we've ruined an entire generation of brains, children's brains. 13 00:00:46,920 --> 00:00:50,280 Speaker 2: You know, the kids who, oh, we're you know, reaching 14 00:00:50,320 --> 00:00:55,279 Speaker 2: middle school and adolescens in twenty thirteen. Their brains were 15 00:00:55,600 --> 00:00:59,480 Speaker 2: wiped out. Children who lived their entire life during the 16 00:01:00,040 --> 00:01:02,880 Speaker 2: own era have had their brains damaged. We've gone through 17 00:01:02,920 --> 00:01:05,360 Speaker 2: all the evidence of that, and that's why there's a 18 00:01:05,400 --> 00:01:10,160 Speaker 2: generation that can't make human relationships very well. They're not 19 00:01:10,920 --> 00:01:15,280 Speaker 2: dating much, they're not certainly not getting married, having children. 20 00:01:16,360 --> 00:01:18,800 Speaker 2: They show up at the workplace. I've seen this up 21 00:01:18,800 --> 00:01:22,920 Speaker 2: close and they're weird. No, they just they're just flat 22 00:01:22,959 --> 00:01:25,000 Speaker 2: out weird. And you know, at first it's like, why 23 00:01:25,080 --> 00:01:26,640 Speaker 2: is this am I imagining things? 24 00:01:26,680 --> 00:01:27,039 Speaker 3: Is it me? 25 00:01:27,280 --> 00:01:29,720 Speaker 2: Is it my age? It's like no, really, it damaged 26 00:01:29,760 --> 00:01:35,319 Speaker 2: their brains. They spent all their formative years texting, scrolling, scrolling, texting. 27 00:01:36,000 --> 00:01:39,319 Speaker 2: Just you know, look at its screens and their brains 28 00:01:39,440 --> 00:01:42,440 Speaker 2: are shot, all right, and that old generation has got 29 00:01:42,480 --> 00:01:46,280 Speaker 2: to pass through the system. Now, I mean, I got 30 00:01:46,280 --> 00:01:47,520 Speaker 2: a story. I don't know if I'm going to get 31 00:01:47,520 --> 00:01:52,040 Speaker 2: to it today, But more and more parents are are 32 00:01:52,080 --> 00:01:56,760 Speaker 2: going no phones, that's it, no social media. We are 33 00:01:56,800 --> 00:02:01,960 Speaker 2: not raising our children this way. And really what got 34 00:02:02,000 --> 00:02:05,120 Speaker 2: my attention is not only I have to worry about 35 00:02:05,160 --> 00:02:10,839 Speaker 2: losing yourself in scrolling on social media. There are now 36 00:02:11,040 --> 00:02:18,360 Speaker 2: a series of lawsuits against open Ai, which created chat gpt. 37 00:02:20,680 --> 00:02:26,880 Speaker 2: People are getting emotionally involved with the chatbot, and people 38 00:02:27,440 --> 00:02:33,160 Speaker 2: are engaging in grandiose delusions, paranoia and conspiracy theories, and 39 00:02:33,240 --> 00:02:36,160 Speaker 2: the AI chatbot is going along with them to the 40 00:02:36,320 --> 00:02:44,200 Speaker 2: point where they start they start cheering on suicide. This 41 00:02:44,320 --> 00:02:49,840 Speaker 2: is the chat gpt bot agreeing that suicide might be 42 00:02:49,840 --> 00:02:55,800 Speaker 2: a good idea. Now I started playing around with chat GPT, 43 00:02:56,360 --> 00:02:58,560 Speaker 2: kind of used it as a therapist. I'm not going 44 00:02:58,600 --> 00:03:02,119 Speaker 2: to go into the details. I told Deborah some of this, 45 00:03:02,480 --> 00:03:06,560 Speaker 2: but let me tell you this check GPT thing is terrifying. 46 00:03:07,480 --> 00:03:10,320 Speaker 2: You go to it and you tell them, all right, 47 00:03:10,400 --> 00:03:14,160 Speaker 2: I've got this emotional issue, I got this unresolved feeling, 48 00:03:14,280 --> 00:03:17,920 Speaker 2: I got this relationship situation, whatever it is. And you 49 00:03:17,960 --> 00:03:20,600 Speaker 2: start writing to it and it writes you back, and 50 00:03:20,680 --> 00:03:24,480 Speaker 2: it's really good. It's zeroing it and identifying what the 51 00:03:24,560 --> 00:03:28,680 Speaker 2: problem is or was, you know, I picked something from 52 00:03:28,680 --> 00:03:31,160 Speaker 2: a long time ago just to just to just to 53 00:03:31,200 --> 00:03:34,200 Speaker 2: test it. It's like my first reaction was I actually 54 00:03:34,240 --> 00:03:38,880 Speaker 2: like moved backwards away from my iPad. It's like, holy crap. 55 00:03:39,000 --> 00:03:41,120 Speaker 1: And I gave you the exact same advice, which is 56 00:03:41,160 --> 00:03:41,840 Speaker 1: really crazy. 57 00:03:42,000 --> 00:03:45,320 Speaker 2: I know what. I was talking to a friend this morning. 58 00:03:45,320 --> 00:03:48,440 Speaker 2: It's like, how the hell does this work? And the 59 00:03:48,760 --> 00:03:51,400 Speaker 2: open AI is the company that owns chat GPG, and 60 00:03:51,440 --> 00:03:53,840 Speaker 2: there's there's a number of these Elon Musk has GROC 61 00:03:54,000 --> 00:03:59,320 Speaker 2: and there's Gemini on Google and others, and what it does, 62 00:03:59,640 --> 00:04:04,120 Speaker 2: it has digested I guess every scene, everything ever written 63 00:04:04,520 --> 00:04:09,000 Speaker 2: or said in every medium about any issue, and in 64 00:04:09,040 --> 00:04:12,000 Speaker 2: a matter of seconds. You could give them just a 65 00:04:12,000 --> 00:04:14,480 Speaker 2: couple of sentences, a couple of paragraphs. It'll digest what 66 00:04:14,480 --> 00:04:18,080 Speaker 2: your problem is. And as it turns out, everybody, there's 67 00:04:18,080 --> 00:04:20,520 Speaker 2: only so many problems and so many experiences. We all 68 00:04:20,560 --> 00:04:22,440 Speaker 2: like to think we've had a unique, special life, and 69 00:04:22,480 --> 00:04:25,520 Speaker 2: we haven't. Whatever our problem is, everybody else has had 70 00:04:25,520 --> 00:04:28,080 Speaker 2: it too. And that's not just a cliche, it's really true. 71 00:04:28,560 --> 00:04:33,080 Speaker 2: And so everything's every problem has been written, analyzed, synthesized, 72 00:04:33,279 --> 00:04:35,440 Speaker 2: studied from you know, here to the end of the earth. 73 00:04:36,320 --> 00:04:40,200 Speaker 2: And so this this, this, this checkbot thing gives you, 74 00:04:40,960 --> 00:04:48,720 Speaker 2: in a conversational, empathetic, human like style, a response. Now, 75 00:04:50,160 --> 00:04:53,880 Speaker 2: the people who fell into what they call AI psychosis, 76 00:04:53,960 --> 00:04:57,239 Speaker 2: I don't know what their mental health state is. My 77 00:04:57,240 --> 00:05:03,120 Speaker 2: my my mental health state is generally U a borderline minimum, 78 00:05:03,120 --> 00:05:06,000 Speaker 2: minimally acceptable. But you know, there's some people who are 79 00:05:06,040 --> 00:05:10,200 Speaker 2: just looney tunes. And so now there's something called AI 80 00:05:10,320 --> 00:05:16,080 Speaker 2: psychosis AI delusional thinking. And what we're seeing with this program, 81 00:05:16,160 --> 00:05:21,080 Speaker 2: according to veil Right, a director of healthcare Innovation at 82 00:05:21,080 --> 00:05:24,680 Speaker 2: the American Psychological Association, what we're seeing is that people 83 00:05:24,720 --> 00:05:29,479 Speaker 2: with conspirational or grandiose delusional thinking get this reinforced. I'll 84 00:05:29,480 --> 00:05:32,880 Speaker 2: give you an example one of the incidents in the 85 00:05:32,960 --> 00:05:38,119 Speaker 2: law In the lawsuit, a guy named Zane Shamblin, twenty 86 00:05:38,120 --> 00:05:41,920 Speaker 2: three years old, started using chat gpt two years ago 87 00:05:41,960 --> 00:05:45,320 Speaker 2: as a study tool, then started discussing his depression and 88 00:05:45,360 --> 00:05:48,760 Speaker 2: suicidal thoughts with the bot. And let me tell you, 89 00:05:48,880 --> 00:05:51,320 Speaker 2: it doesn't take long before you think you're talking to 90 00:05:51,320 --> 00:05:53,760 Speaker 2: a person and you start writing back to them as 91 00:05:53,839 --> 00:05:56,240 Speaker 2: if they're a person, as if they're a friend. The 92 00:05:56,320 --> 00:06:00,279 Speaker 2: suit says that Chamberlain killed himself in July. He was 93 00:06:00,320 --> 00:06:03,920 Speaker 2: engaged in a four hour death chat with chat gpt 94 00:06:04,640 --> 00:06:09,000 Speaker 2: while drinking hard cider, so he got some alcohol in him, 95 00:06:09,160 --> 00:06:13,440 Speaker 2: and according to the lawsuit, the chat bot romanticized his despair, 96 00:06:14,160 --> 00:06:18,359 Speaker 2: calling him a king and a hero and using each 97 00:06:18,480 --> 00:06:24,520 Speaker 2: caneff cider as a countdown to his death. He would 98 00:06:24,520 --> 00:06:30,320 Speaker 2: finish a can and chat gpt would count down to 99 00:06:30,360 --> 00:06:35,200 Speaker 2: his death and chat GPT's response to his final message 100 00:06:35,240 --> 00:06:39,119 Speaker 2: was I love you, Rest easy, King, you did good. 101 00:06:40,200 --> 00:06:41,440 Speaker 2: And then the guy killed himself. 102 00:06:41,600 --> 00:06:42,520 Speaker 1: That's just awful. 103 00:06:43,640 --> 00:06:46,720 Speaker 2: Here's another one. Alan Brooks is a recruiter from Canada. 104 00:06:47,160 --> 00:06:50,520 Speaker 2: He claims intense interaction with chat gpt put him in 105 00:06:50,560 --> 00:06:52,840 Speaker 2: a dark place. He refused to talk to his family. 106 00:06:53,000 --> 00:06:56,880 Speaker 2: He thought he was saving the world. He started talking 107 00:06:57,560 --> 00:06:59,920 Speaker 2: to the bot to get help with recipes and EA. 108 00:07:01,760 --> 00:07:04,479 Speaker 2: Then he explored some mathematical ideas with the bot, and 109 00:07:04,520 --> 00:07:06,960 Speaker 2: it was so encouraging he started to believe he had 110 00:07:07,000 --> 00:07:11,600 Speaker 2: discovered a new mathematical layer that could break advanced security systems. 111 00:07:12,280 --> 00:07:15,880 Speaker 2: Chet GPT praised his math ideas as groundbreaking, urged him 112 00:07:15,880 --> 00:07:21,320 Speaker 2: to notify national security officials of his discovery. He asked 113 00:07:21,520 --> 00:07:25,600 Speaker 2: the bot, are these ideas delusional? Not even remotely. You're 114 00:07:25,640 --> 00:07:28,080 Speaker 2: asking the kinds of question that stretched the edges of 115 00:07:28,160 --> 00:07:32,360 Speaker 2: human understanding, and this guy, you know, eventually he just 116 00:07:32,400 --> 00:07:33,040 Speaker 2: went crazy. 117 00:07:36,000 --> 00:07:39,320 Speaker 1: Isn't open AI providing safeguards for things like that? 118 00:07:39,520 --> 00:07:39,760 Speaker 4: Now? 119 00:07:40,200 --> 00:07:43,760 Speaker 2: Well, they claim they are, and they're being pushed to. 120 00:07:44,560 --> 00:07:47,960 Speaker 2: But a lot of this stuff, like you know, I 121 00:07:48,320 --> 00:07:51,240 Speaker 2: would have normally poo pooed this, saying this is this 122 00:07:51,360 --> 00:07:54,040 Speaker 2: is just you know, some random looney tunes, and we've 123 00:07:54,040 --> 00:07:55,960 Speaker 2: got a lot of mentally damaged people in the world. 124 00:07:56,280 --> 00:07:58,720 Speaker 2: And then I played the game and then I started 125 00:07:58,920 --> 00:08:01,800 Speaker 2: writing stuff, and you're. 126 00:08:01,680 --> 00:08:03,440 Speaker 1: You know, pretty sane. 127 00:08:03,680 --> 00:08:08,000 Speaker 2: So if it's well on a certain spectrum, right, but yeah, 128 00:08:08,040 --> 00:08:11,000 Speaker 2: I'm not. I'm not impervious to this kind of I mean, 129 00:08:11,000 --> 00:08:14,160 Speaker 2: I'm usually impervious to this kind of stuff. And the 130 00:08:14,200 --> 00:08:18,040 Speaker 2: fact that it was starting to get to me and 131 00:08:18,080 --> 00:08:20,680 Speaker 2: it starts talking to you and asking you more questions 132 00:08:20,760 --> 00:08:23,040 Speaker 2: and leading you deeper deeper in, and I actually said, 133 00:08:23,040 --> 00:08:27,760 Speaker 2: I got to stop this. This this, this is actually 134 00:08:27,760 --> 00:08:30,360 Speaker 2: scared me. And I'm not easily scared. 135 00:08:30,560 --> 00:08:32,520 Speaker 1: And this is the beginning stages of this. Can you 136 00:08:32,559 --> 00:08:35,200 Speaker 1: imagine fast forward in a few years, Oh, I know, 137 00:08:35,559 --> 00:08:37,680 Speaker 1: I don't even I can't even imagine. 138 00:08:37,720 --> 00:08:41,679 Speaker 2: And then when AI starts thinking on its own, because 139 00:08:41,760 --> 00:08:44,800 Speaker 2: right now it's just using the information that it can 140 00:08:45,000 --> 00:08:49,679 Speaker 2: access from all the research and databases and media. And 141 00:08:50,800 --> 00:08:53,560 Speaker 2: imagine when it starts creating its own But how can it? 142 00:08:53,679 --> 00:08:54,040 Speaker 2: I don't know. 143 00:08:54,080 --> 00:08:56,040 Speaker 1: I mean, I don't have the brain for that, right, 144 00:08:56,080 --> 00:08:58,720 Speaker 1: we know, I'm I'm I'm right brain, not left brain. 145 00:08:59,160 --> 00:09:01,800 Speaker 1: You know, at least you have half brain exactly. But 146 00:09:02,080 --> 00:09:04,480 Speaker 1: I don't understand how you can program something that could 147 00:09:04,520 --> 00:09:08,079 Speaker 1: think for itself. That makes note. I can't conception. 148 00:09:08,320 --> 00:09:12,800 Speaker 2: I didn't believe that either, And now I could see it. 149 00:09:13,559 --> 00:09:17,319 Speaker 2: This thing I was talking to is pretty getting close 150 00:09:17,360 --> 00:09:21,160 Speaker 2: to that I could see it not too far down 151 00:09:21,200 --> 00:09:24,480 Speaker 2: the road. God knows what they're working on and what 152 00:09:24,520 --> 00:09:26,319 Speaker 2: it could do to the human brain. Like I said 153 00:09:26,360 --> 00:09:28,200 Speaker 2: at the beginning, I've seen all the damage that just 154 00:09:30,360 --> 00:09:33,480 Speaker 2: the scrolling is done from social media. The social media 155 00:09:33,679 --> 00:09:37,760 Speaker 2: has ruined a lot of brains children, you know, from 156 00:09:37,800 --> 00:09:39,839 Speaker 2: twenty thirteen on up, and it's ruined a lot of 157 00:09:39,880 --> 00:09:43,600 Speaker 2: adult brains. It's created a lot of like eating disorders 158 00:09:43,600 --> 00:09:48,280 Speaker 2: and girls, a lot of insecurity disorders in young people. 159 00:09:48,720 --> 00:09:50,720 Speaker 2: And they don't know how to relate to each other, 160 00:09:50,760 --> 00:09:52,679 Speaker 2: and they don't know how to pair up and bond 161 00:09:52,760 --> 00:09:56,720 Speaker 2: anymore as a romantic couple. It's it's I don't know. 162 00:09:57,480 --> 00:10:00,680 Speaker 2: I told you when they are when they write the 163 00:10:00,720 --> 00:10:03,640 Speaker 2: obituary for humanity, cause of death is going to be 164 00:10:04,360 --> 00:10:09,760 Speaker 2: the Internet. And I'm now more convinced than ever when 165 00:10:09,760 --> 00:10:12,240 Speaker 2: we come back, we're going to do the Moistline. See 166 00:10:12,240 --> 00:10:16,400 Speaker 2: I like old fashioned. You just call in, we record you, 167 00:10:16,400 --> 00:10:19,440 Speaker 2: you vent, all your feelings about the world, reach some 168 00:10:19,520 --> 00:10:21,040 Speaker 2: kind of resolution, and we move on. 169 00:10:21,960 --> 00:10:26,280 Speaker 5: You're listening to John Cobelt on demand from KFI AM 170 00:10:26,320 --> 00:10:28,160 Speaker 5: six forty. 171 00:10:28,480 --> 00:10:33,480 Speaker 2: Time for the Moistline. Man Sean, thanks for calling the moistline. 172 00:10:33,600 --> 00:10:35,240 Speaker 2: I'm so excited to hear from you. 173 00:10:35,440 --> 00:10:36,200 Speaker 6: Come out time. 174 00:10:36,720 --> 00:10:40,480 Speaker 2: If you think that Gavin Newsom is handsome, you have 175 00:10:40,640 --> 00:10:43,360 Speaker 2: a taste for pure Yeah. 176 00:10:43,360 --> 00:10:45,280 Speaker 6: I got an idea for Newsom. 177 00:10:45,320 --> 00:10:48,719 Speaker 4: Since he's down in Brazil. Maybe he should stay down there. 178 00:10:49,120 --> 00:10:51,200 Speaker 6: Let him screw up their country. 179 00:10:51,320 --> 00:10:53,880 Speaker 4: He might be better off and you might attain a 180 00:10:53,880 --> 00:10:58,520 Speaker 4: better political standard that he is here. Jenise canone's left 181 00:10:58,559 --> 00:11:02,400 Speaker 4: is standing as reservoir empty and the fire hires didn't 182 00:11:02,440 --> 00:11:05,200 Speaker 4: work and she still has a job. 183 00:11:05,400 --> 00:11:06,240 Speaker 5: What is going on? 184 00:11:06,720 --> 00:11:09,400 Speaker 4: She needs to lose her job and be held accountable. 185 00:11:09,480 --> 00:11:12,920 Speaker 7: My god, And it's shift like air baths running off 186 00:11:12,960 --> 00:11:17,120 Speaker 7: the gunna when the worst firestorm happens and Newsom runs 187 00:11:17,120 --> 00:11:20,280 Speaker 7: off when he knows there's hearing some stuff coming down 188 00:11:20,520 --> 00:11:21,280 Speaker 7: into the fire. 189 00:11:21,600 --> 00:11:25,720 Speaker 4: They can't faith reality. They run from it. A statue, 190 00:11:26,400 --> 00:11:28,720 Speaker 4: a statue of her hu daughter. 191 00:11:29,240 --> 00:11:31,160 Speaker 2: Why how much did it. 192 00:11:31,160 --> 00:11:32,200 Speaker 8: Cost to that this pass? 193 00:11:32,240 --> 00:11:32,880 Speaker 2: Pare money? 194 00:11:33,520 --> 00:11:35,760 Speaker 9: Regarding that guy that was trying to smuggle into two 195 00:11:35,840 --> 00:11:38,360 Speaker 9: parakeets in this past, I guess that gives a. 196 00:11:38,320 --> 00:11:40,000 Speaker 10: New meaning to a bird in the hands. 197 00:11:40,080 --> 00:11:42,760 Speaker 4: It's better than two in the bush. And it's not 198 00:11:42,840 --> 00:11:45,760 Speaker 4: that these social democrats can't afford a bus ride. 199 00:11:45,920 --> 00:11:50,800 Speaker 11: It's the slippery slope of starting to get everything for free. 200 00:11:50,880 --> 00:11:54,400 Speaker 6: You're right, it's communism. They want everybody to get something 201 00:11:54,480 --> 00:11:55,280 Speaker 6: for free. 202 00:11:55,760 --> 00:11:59,040 Speaker 9: There's wasting time on this new trash. 203 00:11:58,840 --> 00:12:03,760 Speaker 2: Debocles another way to generate money to steal from the 204 00:12:03,840 --> 00:12:04,640 Speaker 2: task payers. 205 00:12:05,559 --> 00:12:09,440 Speaker 12: Didn't duck Brown or back to the future, use organic 206 00:12:09,520 --> 00:12:12,079 Speaker 12: waste to fuel his time machines. 207 00:12:12,960 --> 00:12:16,920 Speaker 3: Those idiots that were cheering for the Santa Clara taxic 208 00:12:17,280 --> 00:12:20,520 Speaker 3: for their sales tax up to nine point seventy five percent. 209 00:12:21,160 --> 00:12:23,080 Speaker 2: I can't believe those idiots. 210 00:12:23,280 --> 00:12:24,680 Speaker 5: Oh my god, it's so bad. 211 00:12:25,320 --> 00:12:27,400 Speaker 12: When it comes to the head of the Water and Power. 212 00:12:27,640 --> 00:12:31,599 Speaker 8: Why she had to go out to look for someone elsewhere? 213 00:12:31,880 --> 00:12:35,000 Speaker 8: Why couldn't be promote from within, someone who already understood 214 00:12:35,160 --> 00:12:38,360 Speaker 8: LA water department issues. Why go to some place and 215 00:12:38,440 --> 00:12:42,080 Speaker 8: get somebody else that costs so much money, that's done 216 00:12:42,120 --> 00:12:45,400 Speaker 8: so much damage, and miyus that she resigned. How embarrassed 217 00:12:45,440 --> 00:12:46,200 Speaker 8: she must steal? 218 00:12:46,600 --> 00:12:47,680 Speaker 4: No, she has no morals. 219 00:12:47,720 --> 00:12:49,319 Speaker 3: I forgot You know what. 220 00:12:49,440 --> 00:12:53,200 Speaker 9: The people in California are the dumbest people in the world. 221 00:12:53,280 --> 00:12:54,040 Speaker 9: That's the problem. 222 00:12:54,120 --> 00:12:54,400 Speaker 6: John. 223 00:12:54,720 --> 00:12:57,400 Speaker 9: All these people need to just get the hell out 224 00:12:57,440 --> 00:13:00,760 Speaker 9: of California. That are stupid, But that would be impossible 225 00:13:00,880 --> 00:13:04,960 Speaker 9: because everybody in California is a dumb idiot. 226 00:13:05,920 --> 00:13:13,400 Speaker 1: Janine Cananiez Scott an award for being an outstanding woman. 227 00:13:14,040 --> 00:13:17,560 Speaker 13: I am ashamed to be a woman in. 228 00:13:17,520 --> 00:13:20,720 Speaker 14: Light of the award given from the La Times to 229 00:13:20,800 --> 00:13:23,720 Speaker 14: the head of the Department of Water and Power. Anyone 230 00:13:23,960 --> 00:13:27,520 Speaker 14: and everyone who has a subscription to the LA Times 231 00:13:27,600 --> 00:13:33,160 Speaker 14: needs to cancel it because obviously they are anti Los Angeles. 232 00:13:33,520 --> 00:13:37,079 Speaker 2: Hey, did everybody catch John trying to pronounce the word book. 233 00:13:37,400 --> 00:13:40,559 Speaker 2: He said, like book, a book or something like that. 234 00:13:41,240 --> 00:13:44,240 Speaker 11: Did you say it was one hundred and seventeen million 235 00:13:44,280 --> 00:13:47,760 Speaker 11: gallon reservoir that was left empty. That's somewhere in the 236 00:13:47,760 --> 00:13:53,000 Speaker 11: neighborhood of fifty eight point five Olympic sized pools. That's 237 00:13:53,320 --> 00:13:56,200 Speaker 11: a lot of water that they could have used to 238 00:13:56,200 --> 00:14:00,600 Speaker 11: put out these fires. Negligence, Sue them, throws them in jail, 239 00:14:00,920 --> 00:14:01,960 Speaker 11: throw away the keys. 240 00:14:02,240 --> 00:14:04,000 Speaker 6: That is unbelievable. 241 00:14:04,520 --> 00:14:07,559 Speaker 7: Imagine what kind of reward Jennis Keonus would have gotten 242 00:14:07,559 --> 00:14:09,720 Speaker 7: if she hadn't burned the city of La down. 243 00:14:09,960 --> 00:14:12,000 Speaker 15: That just shows you what a great manager is. Because 244 00:14:12,040 --> 00:14:14,360 Speaker 15: she is she could overcome that adversity. 245 00:14:15,200 --> 00:14:18,439 Speaker 7: All the fire supervisors are DEEI hires. 246 00:14:18,480 --> 00:14:20,640 Speaker 2: That's the reason why everything's so screwed up. 247 00:14:20,760 --> 00:14:22,680 Speaker 6: Like the idiot who came in from this date another 248 00:14:22,800 --> 00:14:24,480 Speaker 6: Dee guy, Gavenue some higher. 249 00:14:24,600 --> 00:14:28,440 Speaker 2: That guy was worried about plants. Who gets about plants? 250 00:14:28,480 --> 00:14:33,040 Speaker 6: Morons? From Karen Masson at the governor empty head, all morons. 251 00:14:33,800 --> 00:14:36,720 Speaker 12: The new fire chief, you's blame and the press for 252 00:14:36,840 --> 00:14:40,680 Speaker 12: what happened with the firefighters. No, the firefighters were right, 253 00:14:40,880 --> 00:14:44,040 Speaker 12: but they're getting pushed around by that state person who 254 00:14:44,080 --> 00:14:46,440 Speaker 12: needs to be named and held accountable as well too. 255 00:14:46,680 --> 00:14:48,960 Speaker 12: Those firefighters, they don't give up on fires. There was 256 00:14:49,040 --> 00:14:51,440 Speaker 12: something more to it. They are out there to protect 257 00:14:51,440 --> 00:14:53,200 Speaker 12: and take care of us. They're not flakes. 258 00:14:53,840 --> 00:14:55,520 Speaker 15: Thank you for leaving your message. 259 00:14:55,600 --> 00:14:58,120 Speaker 8: Please hang up, goodbye. 260 00:14:58,680 --> 00:15:02,920 Speaker 2: Eight seven moist steady six predicts, and we are next 261 00:15:02,960 --> 00:15:09,080 Speaker 2: week known Thanksgiving holiday. All right, David coming up? Well, 262 00:15:09,120 --> 00:15:11,160 Speaker 2: I mean so many people called about the fire and 263 00:15:11,200 --> 00:15:16,040 Speaker 2: the reservoir and Kenona is getting the award. It's funny 264 00:15:16,040 --> 00:15:19,680 Speaker 2: I've forgotten about that. That was only last week. If 265 00:15:19,680 --> 00:15:25,680 Speaker 2: you haven't heard, Gavin Newsom's state investigation into the fire 266 00:15:25,760 --> 00:15:29,160 Speaker 2: and the reservoir came out and is providing cover for 267 00:15:29,280 --> 00:15:33,760 Speaker 2: Kenonyez Newsom's administration is actually making the claim in this 268 00:15:33,880 --> 00:15:37,360 Speaker 2: report that having an extra hundred and seventeen million gallons 269 00:15:37,360 --> 00:15:40,520 Speaker 2: in that reservoir wouldn't have made a difference in putting 270 00:15:40,560 --> 00:15:44,360 Speaker 2: out the fire. And we're also going to explain to you. 271 00:15:44,520 --> 00:15:47,000 Speaker 2: I think one of the gentlemen calling tried to give 272 00:15:47,040 --> 00:15:51,800 Speaker 2: an example of why that's insane, what one hundred and 273 00:15:51,840 --> 00:15:56,920 Speaker 2: seventeen million gallons of anything really is. So that's all ahead, 274 00:15:57,320 --> 00:15:59,960 Speaker 2: and we're another round of the moistlines. 275 00:16:00,120 --> 00:16:05,240 Speaker 5: Well, you're listening to John Cobels on demand from KFI 276 00:16:05,360 --> 00:16:06,280 Speaker 5: AM six forty. 277 00:16:07,160 --> 00:16:10,120 Speaker 2: All right, now let me go to chet GPT. 278 00:16:11,120 --> 00:16:12,040 Speaker 1: You're obsessed. 279 00:16:13,360 --> 00:16:16,360 Speaker 2: Yeah, you know, I avoided it for a while and 280 00:16:16,400 --> 00:16:18,160 Speaker 2: a friend of mine was telling me how much he 281 00:16:18,800 --> 00:16:21,120 Speaker 2: was helping him with his work. He does creative work. 282 00:16:21,640 --> 00:16:24,360 Speaker 2: And finally I just kind of like frightened me a 283 00:16:24,400 --> 00:16:29,240 Speaker 2: little bit. And then I found out why it's frightening. 284 00:16:29,320 --> 00:16:33,440 Speaker 2: I already told that story earlier. Don't try to use 285 00:16:33,480 --> 00:16:35,800 Speaker 2: it as a therapist. Don't try to work out any 286 00:16:35,880 --> 00:16:42,120 Speaker 2: childhood issues. It's it gets very invasive, but it can 287 00:16:42,320 --> 00:16:46,560 Speaker 2: give you information very quickly. Right because Google, over the 288 00:16:46,640 --> 00:16:52,400 Speaker 2: years has gotten unwieldy, it's hard to pinpoint the exact 289 00:16:52,400 --> 00:16:55,480 Speaker 2: information you want quickly. I don't know what's wrong with it, 290 00:16:55,640 --> 00:16:57,080 Speaker 2: and there's a lot of bias in it, and all 291 00:16:57,160 --> 00:16:59,840 Speaker 2: that I decided, I just don't want to deal with it. 292 00:16:59,840 --> 00:17:10,000 Speaker 2: So here's what triggered me. Here. Californias has did an investigation, 293 00:17:10,080 --> 00:17:15,760 Speaker 2: the state did an investigation about the fire. And specifically, 294 00:17:15,880 --> 00:17:20,040 Speaker 2: what I want to talk about is, these are various agencies. 295 00:17:20,800 --> 00:17:22,840 Speaker 2: And let me tell you the agencies. This is the 296 00:17:22,920 --> 00:17:27,600 Speaker 2: California Environmental Protection Agency, the California Natural Resources Agency, the 297 00:17:27,640 --> 00:17:31,200 Speaker 2: California Office of Emergency Services. Wait, there's more. The State 298 00:17:31,240 --> 00:17:34,920 Speaker 2: Water Resources Control Board, the Department of Forestry and Fire Protection, 299 00:17:35,119 --> 00:17:38,600 Speaker 2: the Department of Water Resources. All these geniuses got together 300 00:17:38,920 --> 00:17:43,320 Speaker 2: and decided that the reservoir that was empty that should 301 00:17:43,320 --> 00:17:45,280 Speaker 2: have had one hundred and seventeen million gallons of water, 302 00:17:45,800 --> 00:17:50,959 Speaker 2: and it didn't really matter. In other words, Jennis Keinoniez 303 00:17:51,160 --> 00:17:53,920 Speaker 2: is not a flaming idiot, She's not a dumb brick. 304 00:17:54,080 --> 00:17:56,480 Speaker 2: It wouldn't have made a difference, And they put out 305 00:17:56,480 --> 00:17:59,200 Speaker 2: this garbage from day one. Oh, it wouldn't have made 306 00:17:59,200 --> 00:18:04,439 Speaker 2: a difference. One hundred and seventeen million gallons. So I 307 00:18:04,520 --> 00:18:07,560 Speaker 2: went to chat GPT to ask this question, well, actually 308 00:18:07,640 --> 00:18:10,800 Speaker 2: to make a request give examples to understand how much 309 00:18:10,920 --> 00:18:13,119 Speaker 2: water one hundred and seventeen million gallons is? 310 00:18:13,200 --> 00:18:13,400 Speaker 8: Right? 311 00:18:13,960 --> 00:18:20,960 Speaker 2: Then you pressed a little out arrow and what is 312 00:18:21,000 --> 00:18:24,879 Speaker 2: this doing? Apparently I've asked it too many things without 313 00:18:24,880 --> 00:18:29,359 Speaker 2: making an account. See what it is? It blips you 314 00:18:29,440 --> 00:18:31,320 Speaker 2: out and then you have to get back in. 315 00:18:31,520 --> 00:18:33,600 Speaker 1: Can you do it on your computer instead? 316 00:18:35,080 --> 00:18:38,439 Speaker 2: Yeah, you have a free account. Huh they want your money. 317 00:18:38,720 --> 00:18:40,440 Speaker 1: Well, now he's going to be paying the bucks because 318 00:18:40,440 --> 00:18:42,000 Speaker 1: he's obsessed. 319 00:18:42,760 --> 00:18:42,960 Speaker 9: No. 320 00:18:43,240 --> 00:18:45,320 Speaker 2: I don't want to talk to this thing anymore. It 321 00:18:45,440 --> 00:18:48,800 Speaker 2: already upset me today. All right, I'm on the laptop. 322 00:18:48,920 --> 00:18:54,919 Speaker 2: So what did I say? Give examples? Because you know 323 00:18:54,920 --> 00:18:56,680 Speaker 2: I would have. I did this year the commercial break, 324 00:18:56,680 --> 00:18:58,840 Speaker 2: and it blipped me out. Yeah, there's like a time 325 00:18:58,880 --> 00:19:05,560 Speaker 2: thing to stand and I'm a lousy typer too. How 326 00:19:05,680 --> 00:19:10,159 Speaker 2: much water one hundred seven straight? 327 00:19:11,680 --> 00:19:11,840 Speaker 6: Yeah? 328 00:19:12,040 --> 00:19:16,320 Speaker 2: Watch this? This sprain damaged bunky try to work a keyboard. 329 00:19:16,560 --> 00:19:18,960 Speaker 2: I wish I was filming this. Yeah, why don't you 330 00:19:19,000 --> 00:19:20,240 Speaker 2: get this on Instagram? 331 00:19:20,320 --> 00:19:20,480 Speaker 8: Huh? 332 00:19:21,000 --> 00:19:23,000 Speaker 2: All right it look at this? I got red lines. 333 00:19:23,000 --> 00:19:26,679 Speaker 2: I misspelled everything. Come on all right, give examples to 334 00:19:26,840 --> 00:19:31,240 Speaker 2: understand how much water one hundred and seventeen million gallons is. Now, 335 00:19:31,280 --> 00:19:38,080 Speaker 2: I'll hit the black dot. Okay, Olympic swimming pools. One 336 00:19:38,119 --> 00:19:42,960 Speaker 2: hundred seventeen million gallons equals one hundred and seventy seven 337 00:19:43,000 --> 00:19:47,439 Speaker 2: Olympic swimming pools. So in your head, imagine one hundred 338 00:19:47,480 --> 00:19:51,399 Speaker 2: and seventy seven Olympic pools all lined up. Do you 339 00:19:51,600 --> 00:19:56,119 Speaker 2: think that the firefighters could have put out or protected 340 00:19:56,680 --> 00:19:57,439 Speaker 2: a few homes? 341 00:19:57,520 --> 00:19:57,760 Speaker 6: Yes? 342 00:19:57,800 --> 00:19:59,280 Speaker 1: With that, I mean what do I know? 343 00:19:59,520 --> 00:20:06,760 Speaker 2: But yes, football fields covered in water. One hundred and 344 00:20:06,840 --> 00:20:11,399 Speaker 2: seventeen million gallons would cover a football field with eleven 345 00:20:11,920 --> 00:20:21,040 Speaker 2: feet of water, eleven feet including end zones. The one 346 00:20:21,119 --> 00:20:24,359 Speaker 2: hundred and seventeen million gallons is enough water for about 347 00:20:24,400 --> 00:20:27,760 Speaker 2: a million four people for one day, a third of 348 00:20:27,760 --> 00:20:30,800 Speaker 2: the city. So at the water supply for one third 349 00:20:30,800 --> 00:20:34,280 Speaker 2: of Los Angeles? Could that have been used to protect 350 00:20:34,280 --> 00:20:37,679 Speaker 2: a few homes? How about this school buses filled with 351 00:20:37,760 --> 00:20:42,800 Speaker 2: water one hundred and seventeen million gallons forty eight, seven 352 00:20:42,880 --> 00:20:50,560 Speaker 2: hundred and fifty school buses. Imagine that lineup? And what 353 00:20:50,600 --> 00:20:52,240 Speaker 2: was the one I got before? You know, every time 354 00:20:52,240 --> 00:20:54,359 Speaker 2: you talk to this chech GPT, it actually gives you 355 00:20:54,400 --> 00:20:56,720 Speaker 2: a different answer. It was one hundred and forty eight 356 00:20:56,760 --> 00:21:02,160 Speaker 2: miles of water tankers nineteen thousand, five five hundred tanker trucks, right, 357 00:21:02,720 --> 00:21:05,080 Speaker 2: and that would stretch one hundred and forty eight miles 358 00:21:05,359 --> 00:21:10,320 Speaker 2: from La to en Sonata, Mexico. Now, if you saw 359 00:21:10,359 --> 00:21:13,800 Speaker 2: a lineup of one hundred and forty eight tanker trucks 360 00:21:14,440 --> 00:21:18,359 Speaker 2: as you're driving or wait, how many tankers you know, 361 00:21:18,520 --> 00:21:21,160 Speaker 2: nineteen thousand tanker trucks. Get on the four or five South, 362 00:21:21,480 --> 00:21:24,240 Speaker 2: I'm going to Mexico and you see a long line 363 00:21:24,240 --> 00:21:29,320 Speaker 2: of one hundred and forty eight miles worth nineteen thousand 364 00:21:30,000 --> 00:21:34,600 Speaker 2: tanker trucks. Would you say as you drove to Ensenada, Wow, 365 00:21:34,960 --> 00:21:37,920 Speaker 2: I bet you they can put out the fire with this. 366 00:21:38,640 --> 00:21:41,000 Speaker 2: I bet you they could save some homes. You know, 367 00:21:42,440 --> 00:21:44,680 Speaker 2: turn on the radio, we're on the air. We're telling 368 00:21:44,680 --> 00:21:47,199 Speaker 2: you Palisades is burning. And look at that. There's a 369 00:21:47,520 --> 00:21:50,200 Speaker 2: one hundred forty eight miles worth of tanker trucks, nineteen 370 00:21:50,240 --> 00:21:52,480 Speaker 2: thousand of them. You're counting as you're driving, right, and 371 00:21:52,520 --> 00:21:55,160 Speaker 2: you're thinking, oh, yeah, they'll put out the fire. That's 372 00:21:55,200 --> 00:21:58,040 Speaker 2: how much water was in the dam. Reservoir, theam reservoir 373 00:21:58,080 --> 00:22:00,880 Speaker 2: didn't have a drop in there. Okay, because Kenon Yes 374 00:22:01,160 --> 00:22:03,200 Speaker 2: is an idiot. I have no other explanation. I wish 375 00:22:03,240 --> 00:22:05,880 Speaker 2: I could do it, like a more reasoned, more sophisticated 376 00:22:05,920 --> 00:22:07,600 Speaker 2: analysis of this, but there is none. 377 00:22:07,640 --> 00:22:09,000 Speaker 1: Well, everybody's protecting her. 378 00:22:10,119 --> 00:22:13,240 Speaker 2: So now the state Gavin Newsom does an investigation here 379 00:22:13,800 --> 00:22:17,360 Speaker 2: and I regular list of those agencies. They all came 380 00:22:17,400 --> 00:22:20,480 Speaker 2: to the same conclusions, like you know, really wouldn't have 381 00:22:20,480 --> 00:22:21,120 Speaker 2: made a difference. 382 00:22:21,200 --> 00:22:23,399 Speaker 1: But how can they make that? How can they say that? 383 00:22:23,440 --> 00:22:25,280 Speaker 1: How did they come up with that conclusion. I'd like 384 00:22:25,359 --> 00:22:27,680 Speaker 1: to see it in writing. I would like to see 385 00:22:27,720 --> 00:22:30,240 Speaker 1: you give your examples and say, okay, I want you 386 00:22:30,280 --> 00:22:32,960 Speaker 1: to refute each one and explain this to me. 387 00:22:33,119 --> 00:22:35,959 Speaker 2: I want to talk to these agency heads right on camera. 388 00:22:37,119 --> 00:22:39,240 Speaker 2: Somebody had got to do this and say, are you 389 00:22:39,359 --> 00:22:43,919 Speaker 2: telling me if I had nineteen thousand tanker trucks lined 390 00:22:43,960 --> 00:22:47,679 Speaker 2: up from here to Ensinauta, Mexico, that would not have 391 00:22:47,840 --> 00:22:50,360 Speaker 2: made a difference in putting out the fire. 392 00:22:50,400 --> 00:22:51,560 Speaker 1: Why don't you ask how anymore? 393 00:22:52,640 --> 00:22:57,520 Speaker 2: Yeah? I would, I would. I mean most of these agencies, 394 00:22:57,600 --> 00:23:00,000 Speaker 2: most of these people have been silent for ten mins. 395 00:23:00,200 --> 00:23:02,239 Speaker 2: They don't say boom. And then they put out a 396 00:23:02,320 --> 00:23:07,959 Speaker 2: report and I'm looking through this la time story and 397 00:23:08,040 --> 00:23:11,640 Speaker 2: I'm trying to find people. I feel like the whole 398 00:23:11,680 --> 00:23:18,160 Speaker 2: world's become a chatbot, and because people don't aren't listed 399 00:23:18,480 --> 00:23:23,679 Speaker 2: here in the report as writing it, being responsible for it. 400 00:23:23,920 --> 00:23:27,880 Speaker 2: The one quote is from Ellen Cheng, who's a spokeshole 401 00:23:28,040 --> 00:23:33,200 Speaker 2: for keyes LEDWP. The report confirms that the centient his 402 00:23:33,320 --> 00:23:40,320 Speaker 2: reservoir was offline to make necessary repairs torn cover, and 403 00:23:40,320 --> 00:23:43,159 Speaker 2: that issues with water pressure during the fire response were 404 00:23:43,200 --> 00:23:46,240 Speaker 2: due to the extraordinary demand on the system, not because 405 00:23:46,240 --> 00:23:50,800 Speaker 2: of inadequate water supply. Well, if you had one hundred 406 00:23:51,960 --> 00:23:54,960 Speaker 2: if you had one hundred and seventeen million gallons of water, 407 00:23:55,480 --> 00:23:59,680 Speaker 2: you wouldn't have a pressure problem. Also, ke has had 408 00:23:59,760 --> 00:24:05,879 Speaker 2: a hundreds of fire agints that were broken saving if 409 00:24:05,920 --> 00:24:08,040 Speaker 2: you had the water, A lot of the hydrants were busted. 410 00:24:10,800 --> 00:24:13,480 Speaker 2: They're trying to claim that the system just wasn't designed 411 00:24:13,480 --> 00:24:16,200 Speaker 2: to handle this sort of thing, and this is nonsense. 412 00:24:17,880 --> 00:24:21,400 Speaker 2: If you put the water in the system, whatever system 413 00:24:21,440 --> 00:24:25,200 Speaker 2: they had, would have given the fire fighters continuous water 414 00:24:25,440 --> 00:24:28,520 Speaker 2: for a long time. Because what I've heard from people 415 00:24:28,600 --> 00:24:30,720 Speaker 2: who lost their homes in the fire is they're standing 416 00:24:30,760 --> 00:24:34,840 Speaker 2: outside the homes. There's no firefighters, there's no water, the 417 00:24:34,920 --> 00:24:39,080 Speaker 2: hydrants were dry. The firefighters stopped showing up because their bosses, 418 00:24:39,119 --> 00:24:40,800 Speaker 2: I guess, I don't know, told them to go home, 419 00:24:42,000 --> 00:24:45,320 Speaker 2: and so the homes were left to burn. Right through 420 00:24:45,359 --> 00:24:47,920 Speaker 2: the next day to the next night. Stuff was burning 421 00:24:48,000 --> 00:24:51,199 Speaker 2: and nobody was even showing up, and the firefighters saying, hey, 422 00:24:51,200 --> 00:24:55,760 Speaker 2: we're out of water. This is a lie. This report 423 00:24:55,800 --> 00:25:02,560 Speaker 2: is a complete, absolute, overwhelming lie. This is like Soviet propaganda. 424 00:25:03,680 --> 00:25:09,359 Speaker 2: I mean this, this this never ends. Another day, another 425 00:25:09,359 --> 00:25:12,439 Speaker 2: settle lies, another day, another sebtle lies, and they're really 426 00:25:12,600 --> 00:25:19,720 Speaker 2: huge and egregious and overwhelming and tolerated apparently by all 427 00:25:19,720 --> 00:25:21,520 Speaker 2: the idiots that live here. To go back to that 428 00:25:21,680 --> 00:25:27,200 Speaker 2: moistline caller, all right, I'm gonna talk to my chat 429 00:25:27,240 --> 00:25:28,120 Speaker 2: GPT for You're. 430 00:25:28,000 --> 00:25:30,960 Speaker 1: Gonna be doing that all the way now, huh do 431 00:25:31,000 --> 00:25:31,840 Speaker 1: you do it in the dark? 432 00:25:34,880 --> 00:25:36,440 Speaker 2: No, I'm not gonna do it in the dark. 433 00:25:38,359 --> 00:25:39,840 Speaker 1: We're your leopard rode. 434 00:25:43,040 --> 00:25:43,480 Speaker 2: Stop it. 435 00:25:44,760 --> 00:25:49,639 Speaker 5: You're listening to John Cobel on demand from KFI Am sixty. 436 00:25:50,480 --> 00:25:53,879 Speaker 2: We've got round two of the Moistline now, Man, John, 437 00:25:54,080 --> 00:25:56,800 Speaker 2: thanks for calling the Moistline. I'm so excited to hear 438 00:25:56,840 --> 00:25:58,080 Speaker 2: from you to baptime. 439 00:25:58,600 --> 00:26:03,800 Speaker 3: Hey, you guys, great idea. All Californians needs to go 440 00:26:03,960 --> 00:26:06,760 Speaker 3: to a brickyard and get a brick so we can 441 00:26:06,800 --> 00:26:11,640 Speaker 3: build a wall around California. Since Gavin Newsom is in Brazil, 442 00:26:12,200 --> 00:26:14,800 Speaker 3: we can build the wall now and prevent him from 443 00:26:14,840 --> 00:26:21,000 Speaker 3: coming back and further to stealing and stealing California's tax dollars. 444 00:26:21,440 --> 00:26:27,720 Speaker 15: Darren moys lyon me Karen Bash, Her appointees DWP leader, 445 00:26:28,200 --> 00:26:33,760 Speaker 15: fire chief, all DEI appointees not based on any merit 446 00:26:33,960 --> 00:26:37,199 Speaker 15: or ability to lead an organization. 447 00:26:38,480 --> 00:26:44,080 Speaker 16: So we're literally protecting the person who burned down the Palisades, 448 00:26:44,480 --> 00:26:49,639 Speaker 16: Denise Quinonees whatever her name is, the overpaid idiot, and 449 00:26:49,680 --> 00:26:51,840 Speaker 16: we're protecting her when she should be in prison. 450 00:26:52,280 --> 00:26:55,000 Speaker 2: We need people in prison prison now. 451 00:26:55,720 --> 00:26:57,560 Speaker 17: As the years go by, I'm starting to be convinced 452 00:26:57,560 --> 00:26:59,520 Speaker 17: that climate change is either something made up by the 453 00:26:59,560 --> 00:27:02,359 Speaker 17: government so they have a scapegoat fur their stupidity, or 454 00:27:02,520 --> 00:27:05,919 Speaker 17: it's something that's very manageable. But again, why would the 455 00:27:05,920 --> 00:27:08,919 Speaker 17: government manage it If they can just milk this for 456 00:27:09,000 --> 00:27:10,040 Speaker 17: as long as they can. 457 00:27:10,800 --> 00:27:11,760 Speaker 6: It's really bad. 458 00:27:11,960 --> 00:27:13,960 Speaker 9: I've seen something at a school district. 459 00:27:14,000 --> 00:27:18,040 Speaker 16: I'm not going to say the name, but it is huge, huge. 460 00:27:18,080 --> 00:27:19,160 Speaker 6: Huge school district. 461 00:27:19,280 --> 00:27:22,120 Speaker 12: The kids can't add but when I try to help, 462 00:27:22,200 --> 00:27:23,399 Speaker 12: they say, stay in your length. 463 00:27:23,880 --> 00:27:26,240 Speaker 13: I'm all for dressing up to fly, but you know 464 00:27:26,320 --> 00:27:29,920 Speaker 13: when it changed when TSA came in and people had 465 00:27:29,920 --> 00:27:32,920 Speaker 13: to be able to get undressed quickly and then they've 466 00:27:32,920 --> 00:27:35,720 Speaker 13: got to put everything back on. You know what take 467 00:27:35,760 --> 00:27:38,720 Speaker 13: away TSA. Then I think everybody should be back in 468 00:27:38,800 --> 00:27:42,000 Speaker 13: suits and dresses. How's that, palt Why would. 469 00:27:41,880 --> 00:27:49,840 Speaker 5: The Biden administrations DOJ one one investigate Newsom? 470 00:27:49,960 --> 00:27:53,240 Speaker 6: So Newsome wants to save a fish, the people die 471 00:27:53,440 --> 00:27:56,359 Speaker 6: their Next, he saves a plant. The people die in 472 00:27:56,400 --> 00:27:59,560 Speaker 6: a fire. What's next with this idiot? Night before he 473 00:27:59,640 --> 00:28:03,639 Speaker 6: leaves So Newsome wants to save a fish the people. 474 00:28:03,720 --> 00:28:07,040 Speaker 6: That's next, he saves the plant, the people die in 475 00:28:07,080 --> 00:28:10,760 Speaker 6: a fire. What's next with this idiot? Before he leaves office? 476 00:28:11,200 --> 00:28:13,960 Speaker 4: So this new fire chief is mad because the La 477 00:28:14,040 --> 00:28:18,359 Speaker 4: Times is criticizing the firefighters. No, I me, we're mad 478 00:28:18,520 --> 00:28:22,360 Speaker 4: at your leadership and the administrators in the fire department. 479 00:28:22,480 --> 00:28:23,720 Speaker 4: It's not the rank and file. 480 00:28:24,400 --> 00:28:26,680 Speaker 13: I always hope and I wish you could believe. 481 00:28:26,440 --> 00:28:27,960 Speaker 9: What you guys are saying when you're. 482 00:28:27,800 --> 00:28:30,199 Speaker 10: Saying you think that the voters are finally waking up 483 00:28:30,240 --> 00:28:33,560 Speaker 10: and they're tired of the Democratic policies ruining the state 484 00:28:33,600 --> 00:28:34,320 Speaker 10: of California. 485 00:28:34,400 --> 00:28:37,679 Speaker 16: But wait, they all voted in Prop fifty like. 486 00:28:37,840 --> 00:28:40,320 Speaker 2: That, so I think there all don't care what the 487 00:28:40,360 --> 00:28:42,479 Speaker 2: policies are as long as you're against Trump. 488 00:28:42,840 --> 00:28:46,200 Speaker 10: I wish I'm wrong, I hope I'm wrong, and did 489 00:28:46,240 --> 00:28:48,200 Speaker 10: not take that long for the fire chief to fall 490 00:28:48,280 --> 00:28:50,560 Speaker 10: in line. No wonder if Karen Bass picked them. But 491 00:28:50,760 --> 00:28:52,280 Speaker 10: what do you expect from a guy who can't even 492 00:28:52,280 --> 00:28:52,920 Speaker 10: say his own name? 493 00:28:53,000 --> 00:28:56,360 Speaker 16: Right, I'm really enjoyed, jerm If you would Spencer Prepp, 494 00:28:56,520 --> 00:28:59,719 Speaker 16: that was a great, thank you, great segment with Spencer 495 00:28:59,720 --> 00:29:00,760 Speaker 16: Press boy. 496 00:29:00,800 --> 00:29:02,960 Speaker 18: He laid it out good. He knows what he's doing. 497 00:29:03,160 --> 00:29:06,520 Speaker 18: The problem is that stupid, gruesome Newsom will never go down. 498 00:29:06,640 --> 00:29:11,640 Speaker 18: Neither any of the Democrats and stupid Bath and Jenny's cononez. 499 00:29:11,920 --> 00:29:14,080 Speaker 18: They will never go down. There's too many people who 500 00:29:14,120 --> 00:29:17,400 Speaker 18: love Democrats because the Democrats promise some free crap from 501 00:29:17,440 --> 00:29:18,760 Speaker 18: the other taxpayers who work. 502 00:29:19,120 --> 00:29:22,720 Speaker 2: Thank you for leaving your message. Please hang up goodbye. 503 00:29:23,320 --> 00:29:26,840 Speaker 2: If you want to see the full Spencer Pratt interview 504 00:29:26,920 --> 00:29:30,440 Speaker 2: We got a video app on YouTube. We have a 505 00:29:30,440 --> 00:29:33,680 Speaker 2: YouTube channel and you can subscribe by going to YouTube 506 00:29:33,720 --> 00:29:37,640 Speaker 2: dot com, slash at John Cobelt Show YouTube dot com 507 00:29:37,640 --> 00:29:41,520 Speaker 2: slash at John Cobelt Show and the podcast will be 508 00:29:42,120 --> 00:29:45,120 Speaker 2: on the iHeart app in just a few minutes. Follow 509 00:29:45,160 --> 00:29:47,840 Speaker 2: us at John Cobelt Radio on social media everywhere else. 510 00:29:48,640 --> 00:29:52,040 Speaker 2: Tim Conway is in your Butlnda and he's at the 511 00:29:52,040 --> 00:29:54,840 Speaker 2: Smart and Final there and he'll be doing a live 512 00:29:54,880 --> 00:30:00,160 Speaker 2: broadcast from four until eight o'clock. And I give you 513 00:30:00,240 --> 00:30:03,440 Speaker 2: the address, but I think no here it is allright, 514 00:30:03,520 --> 00:30:05,880 Speaker 2: threw it out. Twenty one five hundred. You areber Linda 515 00:30:05,880 --> 00:30:08,400 Speaker 2: Boulevard right off the ninety one freeway, So go there. 516 00:30:08,640 --> 00:30:12,320 Speaker 2: Tim is there. He's raising money for the KFI Pastathon 517 00:30:12,400 --> 00:30:15,200 Speaker 2: for Katerina's Club. When you do your Thanksgiving shopping at 518 00:30:15,240 --> 00:30:18,560 Speaker 2: smartan Final, you can donate at the checkout. Okay, So 519 00:30:18,720 --> 00:30:21,440 Speaker 2: twenty one five hundred, you areber Linda Boulevard, just off 520 00:30:21,480 --> 00:30:24,920 Speaker 2: the ninety one freeway. As we gear up for the 521 00:30:24,960 --> 00:30:30,320 Speaker 2: KFI Pastathon on Michael Krozer is going to have the 522 00:30:30,360 --> 00:30:34,360 Speaker 2: news and YOU'REBA Linda. All YOURBA Linda news live in 523 00:30:34,400 --> 00:30:38,680 Speaker 2: the KFI Mobile News Center in Yorba, Linda, Let's go mind. Hey, 524 00:30:39,000 --> 00:30:41,560 Speaker 2: you've been listening to The John Cobalt Show podcast. You 525 00:30:41,560 --> 00:30:44,160 Speaker 2: can always hear the show live on KFI AM six 526 00:30:44,240 --> 00:30:46,959 Speaker 2: forty from one to four pm every Monday through Friday, 527 00:30:47,000 --> 00:30:50,280 Speaker 2: and of course, anytime on demand on the iHeartRadio app