1 00:00:00,080 --> 00:00:04,320 Speaker 1: Welcome. In fifteen minutes, the final keyword of the day 2 00:00:04,480 --> 00:00:08,320 Speaker 1: will be revealed, and then John Coe Belt and dramatic 3 00:00:08,360 --> 00:00:11,159 Speaker 1: fashion will tell you how you enter that keyword to 4 00:00:11,240 --> 00:00:13,320 Speaker 1: perhaps win a thousand dollars. He looks forward to that 5 00:00:13,520 --> 00:00:16,079 Speaker 1: every hour of the show. My special moment it is. 6 00:00:16,160 --> 00:00:18,840 Speaker 1: It's just me, It's you and your game. Show roll 7 00:00:20,400 --> 00:00:24,079 Speaker 1: top headline story sadly Karen bass is the next mayor 8 00:00:24,120 --> 00:00:28,840 Speaker 1: of lad You got to keep bringing that up right, 9 00:00:28,920 --> 00:00:31,520 Speaker 1: And of course the terrible story out of Whittier where 10 00:00:31,560 --> 00:00:34,159 Speaker 1: a bunch of police recruits were slammed into by a 11 00:00:34,159 --> 00:00:37,680 Speaker 1: guy drive at an suv. I'm sure the next twenty 12 00:00:37,720 --> 00:00:41,640 Speaker 1: four hours will learn a lot more as they interrogate 13 00:00:41,720 --> 00:00:44,239 Speaker 1: this man. Oh, I guess was not really hurt from 14 00:00:44,280 --> 00:00:46,400 Speaker 1: what I understand right of course, not because he slammed 15 00:00:46,400 --> 00:00:48,880 Speaker 1: into a light pull after he Yet, people, the guys 16 00:00:48,880 --> 00:00:52,640 Speaker 1: who caused these horrible accidents never get hurt. There's at 17 00:00:52,720 --> 00:00:56,280 Speaker 1: least four or five recruits in pretty tough shape and 18 00:00:57,040 --> 00:00:59,720 Speaker 1: may even lose a limb of some kind. So horrible 19 00:00:59,800 --> 00:01:02,240 Speaker 1: video to see because their security video from across the 20 00:01:02,280 --> 00:01:04,360 Speaker 1: street and you can see it from a distance, and 21 00:01:04,560 --> 00:01:07,119 Speaker 1: he is going in a straight line on the wrong 22 00:01:07,160 --> 00:01:09,920 Speaker 1: side of the road, right along the curve, right along 23 00:01:09,959 --> 00:01:12,920 Speaker 1: the curb. There is no curve right. We're giving him 24 00:01:12,959 --> 00:01:14,840 Speaker 1: the benefit of the doubt before wile maybe he lost 25 00:01:15,080 --> 00:01:16,640 Speaker 1: but thought, yeah, I thought they might not have had 26 00:01:16,640 --> 00:01:18,360 Speaker 1: a chance to know. You don't why, because it's hard 27 00:01:18,400 --> 00:01:21,760 Speaker 1: to believe that somebody would do this, right, So you 28 00:01:21,760 --> 00:01:24,600 Speaker 1: want to think, well, must have lost control. Even if 29 00:01:24,600 --> 00:01:27,839 Speaker 1: he was on alcohol in drugs, at least you'd understand why. 30 00:01:29,840 --> 00:01:32,880 Speaker 1: But was this a hit he put on this h 31 00:01:34,240 --> 00:01:38,800 Speaker 1: these police recruits or is he really just out of it? Yeah, 32 00:01:38,959 --> 00:01:42,800 Speaker 1: he's did find some marijuana in his car, but they 33 00:01:42,800 --> 00:01:45,319 Speaker 1: said that as far as being drunk, he was zero 34 00:01:45,480 --> 00:01:49,080 Speaker 1: on the scale. You know, I've read that the marijuana 35 00:01:49,160 --> 00:01:54,160 Speaker 1: that's gone around is incredibly powerful, far more powerful than 36 00:01:54,640 --> 00:01:57,280 Speaker 1: anything that we might have had when we were younger. 37 00:01:57,760 --> 00:02:00,400 Speaker 1: That this is really heavy duty stuff, and there's a 38 00:02:00,480 --> 00:02:04,240 Speaker 1: there's a thing called like marijuana psychosis. But if you 39 00:02:04,320 --> 00:02:07,560 Speaker 1: if you it's really high levels of THHC, and if 40 00:02:07,560 --> 00:02:10,920 Speaker 1: you do it every day, eventually you can have a 41 00:02:10,919 --> 00:02:14,520 Speaker 1: psychotic break in your brain. Well, that's what we hope 42 00:02:14,560 --> 00:02:17,440 Speaker 1: to find out. Any kind of motive behind this or 43 00:02:17,560 --> 00:02:21,680 Speaker 1: just a sleepy Stone guy driving around at six thirty 44 00:02:21,680 --> 00:02:24,000 Speaker 1: in the morning on his way somewhere as a twenty 45 00:02:24,040 --> 00:02:27,000 Speaker 1: two year old from Diamond Boar. He must have either 46 00:02:27,040 --> 00:02:29,880 Speaker 1: he was asleep or he must have really been in 47 00:02:29,960 --> 00:02:33,840 Speaker 1: an alternate reality to be driving that long along the 48 00:02:33,919 --> 00:02:37,639 Speaker 1: curb in a straight line and seeing all those all 49 00:02:37,680 --> 00:02:40,480 Speaker 1: those copp recruits running people in the streets. Yeah, yeah, 50 00:02:40,480 --> 00:02:43,000 Speaker 1: I mean there's stunning information in the street. There was 51 00:02:43,040 --> 00:02:46,440 Speaker 1: seventy five of them and it was daylight. Yes, the 52 00:02:46,520 --> 00:02:48,480 Speaker 1: sun was up at six twenty when this happened, or 53 00:02:48,480 --> 00:02:52,000 Speaker 1: six thirty somewhere around there. All right, So we'll keep 54 00:02:52,000 --> 00:02:54,440 Speaker 1: you posted on that story too. Our reporters are on 55 00:02:54,520 --> 00:02:57,720 Speaker 1: top of it. Any updates, who'll let you know. You know, 56 00:02:58,040 --> 00:03:00,280 Speaker 1: when you fish around for stories and you you like 57 00:03:00,320 --> 00:03:04,119 Speaker 1: Google searches and you come on Wikipedia, sometime you look 58 00:03:04,120 --> 00:03:07,040 Speaker 1: at the screen and you go, really, well, that happened 59 00:03:07,040 --> 00:03:11,000 Speaker 1: to me. I graduated from the State University of New 60 00:03:11,080 --> 00:03:15,840 Speaker 1: York at Buffalo. I have an infamous fellow alum. Do 61 00:03:15,880 --> 00:03:24,000 Speaker 1: you know who it is? Um? Serial killer? No, nah, 62 00:03:24,120 --> 00:03:29,240 Speaker 1: a serial something, but none of those two. Oh, Harvey Weinstein, 63 00:03:29,960 --> 00:03:33,440 Speaker 1: he went there too, he did. That's where he got 64 00:03:33,480 --> 00:03:37,840 Speaker 1: apparently his degree, and that's where he started out doing 65 00:03:37,840 --> 00:03:42,400 Speaker 1: movie productions. Apparently in Buffalo, Buffalo started his career. I think, yeah, yeah, 66 00:03:42,520 --> 00:03:45,400 Speaker 1: I didn't know that. So that's right. That school produces 67 00:03:45,440 --> 00:03:47,880 Speaker 1: a lot of good people. Huh No, of course, you 68 00:03:48,000 --> 00:03:52,840 Speaker 1: and Harvey Weinstein. Well, they're done with Gavin Newsom's wife, 69 00:03:53,400 --> 00:03:58,120 Speaker 1: Jennifer Newsom is done testifying and ended late yesterday. She's 70 00:03:58,160 --> 00:04:01,000 Speaker 1: done for now on the stand. The execution actually got 71 00:04:01,000 --> 00:04:02,840 Speaker 1: to go back up there because they got a chance 72 00:04:02,880 --> 00:04:05,320 Speaker 1: to what do they call that, like build the witness 73 00:04:05,400 --> 00:04:10,720 Speaker 1: back or something like that. But anyway, rehabilitates a good word, 74 00:04:10,800 --> 00:04:14,760 Speaker 1: exactly right. But what a time she had with the 75 00:04:14,800 --> 00:04:19,280 Speaker 1: main defense attorney for Harvey Weinstein. His name is Mark Worksman. 76 00:04:20,040 --> 00:04:23,400 Speaker 1: And we've told you this before. Of course, Jennifer Knewsom 77 00:04:23,440 --> 00:04:26,400 Speaker 1: claims back in truth thousand and five, like a lot 78 00:04:26,400 --> 00:04:29,720 Speaker 1: of other women, she agreed to meet with Harvey Weinstein 79 00:04:29,760 --> 00:04:34,839 Speaker 1: to enhance her career. She was aspiring actress at the time, 80 00:04:35,240 --> 00:04:37,760 Speaker 1: but it ended up with her being sexually assaulted at 81 00:04:37,760 --> 00:04:43,160 Speaker 1: the Peninsula Hotel in Beverly Hills. She described in graphic terms, 82 00:04:43,160 --> 00:04:45,200 Speaker 1: and we talked about it yesterday with the keyword being 83 00:04:45,200 --> 00:04:49,039 Speaker 1: fish like, which John has really clung onto. Most of 84 00:04:49,040 --> 00:04:51,880 Speaker 1: the women are being asked to describe Harvey's genitals because 85 00:04:51,920 --> 00:04:56,080 Speaker 1: apparently they're very unique. I am not clinging onto his 86 00:04:56,200 --> 00:05:01,920 Speaker 1: fish like penis. I want that just the clarified, right. 87 00:05:02,040 --> 00:05:05,880 Speaker 1: So it was a nasty attack in which you know, 88 00:05:06,000 --> 00:05:09,800 Speaker 1: he penetrated her in a couple of ways. And but 89 00:05:09,920 --> 00:05:16,640 Speaker 1: one thing she said and something else that Worksman pointed out, Now, 90 00:05:16,680 --> 00:05:19,960 Speaker 1: this assault happened in two thousand and five. The Harvey 91 00:05:20,040 --> 00:05:24,159 Speaker 1: Weinstein story broke in twenty seventeen. He was the center 92 00:05:24,240 --> 00:05:27,160 Speaker 1: point of the entire In fact, I think that New 93 00:05:27,240 --> 00:05:29,840 Speaker 1: York Times movie is coming out, she said. I think 94 00:05:29,839 --> 00:05:32,839 Speaker 1: it's called about the whole me too, breaking stories in 95 00:05:32,880 --> 00:05:37,640 Speaker 1: twenty seventeen. Yea, And she didn't report this until twenty twenty. 96 00:05:37,680 --> 00:05:40,080 Speaker 1: In fact, she did end up before a grand jury. 97 00:05:40,600 --> 00:05:44,080 Speaker 1: And Worksman is saying that she has enhanced and she 98 00:05:44,160 --> 00:05:47,719 Speaker 1: has added to the story she told back in twenty twenty. 99 00:05:47,920 --> 00:05:50,160 Speaker 1: That's been one of his big contentions on the standard. 100 00:05:50,200 --> 00:05:53,200 Speaker 1: You really suddenly have come up with a lot more 101 00:05:53,320 --> 00:05:58,839 Speaker 1: detail that she's comparing. He's comparing it to what, comparing 102 00:05:58,880 --> 00:06:02,599 Speaker 1: what to what? Origin story that he's comparing what she's 103 00:06:02,600 --> 00:06:04,680 Speaker 1: saying on the stand now with what she said in 104 00:06:04,720 --> 00:06:08,599 Speaker 1: twenty twenty before a grand jury for a grand jury, 105 00:06:08,640 --> 00:06:11,080 Speaker 1: and he's saying that what she's saying now is far 106 00:06:11,240 --> 00:06:14,400 Speaker 1: more detailed and descriptive than what she told the grand 107 00:06:14,440 --> 00:06:17,240 Speaker 1: jury in twenty twenty. Well, the questions are different too, 108 00:06:17,279 --> 00:06:21,480 Speaker 1: aren't they. And she said something like, I didn't expect 109 00:06:21,560 --> 00:06:24,880 Speaker 1: this would turn into a criminal investigation. And he was like, 110 00:06:24,920 --> 00:06:27,400 Speaker 1: wait a minute. In twenty twenty, you're the wife of 111 00:06:27,400 --> 00:06:29,400 Speaker 1: a governor. You didn't think you'd be a big part 112 00:06:29,440 --> 00:06:33,560 Speaker 1: of this whole criminal case, such a high profile person, 113 00:06:33,920 --> 00:06:36,400 Speaker 1: but claiming they were raped by Harvey Weinstein, and it 114 00:06:36,480 --> 00:06:40,960 Speaker 1: makes no sense now Here was an ex dramatic point. 115 00:06:41,080 --> 00:06:44,440 Speaker 1: This happened late in the testimony yesterday. As part of 116 00:06:44,440 --> 00:06:48,520 Speaker 1: her testimony, Jennifer Newsom said that to get Harvey Weinstein, 117 00:06:48,600 --> 00:06:51,719 Speaker 1: for lack of a better expression, off of her, she 118 00:06:51,880 --> 00:06:55,200 Speaker 1: faked orgasm so that it would look like it was 119 00:06:55,240 --> 00:06:57,480 Speaker 1: done right and he could finish and get away from her. 120 00:06:57,640 --> 00:07:02,640 Speaker 1: Sure well, Worksman asked her while she was on the 121 00:07:02,680 --> 00:07:05,080 Speaker 1: stand yesterday if she would recreate how she did that. 122 00:07:07,520 --> 00:07:11,120 Speaker 1: She actually responded, recreate this is not when Harry met Sally, 123 00:07:11,200 --> 00:07:17,280 Speaker 1: I'm not doing that. Recreate the orgasm sound correct? And 124 00:07:17,400 --> 00:07:21,040 Speaker 1: if you remember, Meg Ryan finked a loud orgasm in 125 00:07:21,080 --> 00:07:25,400 Speaker 1: a restaurant in that film, and then a newsom broke 126 00:07:25,400 --> 00:07:27,440 Speaker 1: down in tears, saying I was making noises to get 127 00:07:27,480 --> 00:07:29,320 Speaker 1: him to finish. She had already raped me. This is 128 00:07:29,360 --> 00:07:32,400 Speaker 1: so gross. I'm sorry. I don't know if that didn't 129 00:07:32,400 --> 00:07:36,160 Speaker 1: backfire on worksman a little bit there with the jury. 130 00:07:35,720 --> 00:07:38,920 Speaker 1: You know, there's plenty of stuff that would backfire if 131 00:07:38,960 --> 00:07:41,160 Speaker 1: the jury is in that mood. I mean that this 132 00:07:41,320 --> 00:07:43,960 Speaker 1: is just probably the most colorful. But I mean he 133 00:07:44,080 --> 00:07:47,200 Speaker 1: has really beaten the poop out of her all week. 134 00:07:47,440 --> 00:07:51,160 Speaker 1: I don't think I have ever ever like read about 135 00:07:52,320 --> 00:07:54,240 Speaker 1: this much of a beat down that an attorney has 136 00:07:54,280 --> 00:07:56,960 Speaker 1: done on a rape victim. I mean, this is something 137 00:07:57,040 --> 00:07:59,520 Speaker 1: else he's doing here. But I was trying to think, like, 138 00:07:59,560 --> 00:08:02,160 Speaker 1: what this point? What is the purpose of this? And 139 00:08:02,320 --> 00:08:06,480 Speaker 1: I wondered if he was trying to make this subtle point. 140 00:08:06,520 --> 00:08:08,640 Speaker 1: I don't know if the jury would pick up on this. Hey, 141 00:08:09,120 --> 00:08:12,560 Speaker 1: you're dealing with an actress here. Oh I didn't think 142 00:08:12,600 --> 00:08:14,640 Speaker 1: of that. You're right, you know, she was an actress 143 00:08:14,680 --> 00:08:17,560 Speaker 1: by trade. She claims she was acting when she was 144 00:08:17,600 --> 00:08:20,520 Speaker 1: faking the orgasm, and immediately you think of the head 145 00:08:20,560 --> 00:08:25,000 Speaker 1: maybe she's acting right now on the stands exactly good one, 146 00:08:25,040 --> 00:08:28,600 Speaker 1: because when when you say recrete the orgasm, everybody in 147 00:08:28,640 --> 00:08:30,960 Speaker 1: the world, if they saw the movie, thinks that Harry 148 00:08:31,000 --> 00:08:33,840 Speaker 1: met Sally. Right, So that's going to pop into juror's 149 00:08:33,880 --> 00:08:36,280 Speaker 1: mind and it's like, oh, let's let's see her acting skills. 150 00:08:36,559 --> 00:08:39,760 Speaker 1: Acting acting acting, see, which is another word for faking it, 151 00:08:39,840 --> 00:08:45,080 Speaker 1: for making it up, pretending. Now that's a possible point 152 00:08:45,320 --> 00:08:51,480 Speaker 1: he was trying to make. Yeah, so she's done now Yesterday. 153 00:08:51,000 --> 00:08:56,199 Speaker 1: The New York Times three reporters Adam Nogourney, Lauren Hirstick, 154 00:08:56,800 --> 00:09:02,040 Speaker 1: and Livia Albeck hypen Ripka's name, huh did what I 155 00:09:02,120 --> 00:09:05,640 Speaker 1: have to call a tongue bath? California first partner becomes 156 00:09:05,720 --> 00:09:08,640 Speaker 1: key witness in Weinstein's Los Angeles trial. And when you 157 00:09:08,640 --> 00:09:12,559 Speaker 1: read the first few paragraphs, they're making them how do 158 00:09:12,720 --> 00:09:15,120 Speaker 1: I put this, They're making them look like a power 159 00:09:15,200 --> 00:09:18,640 Speaker 1: couple or on the rise when they met. And look, 160 00:09:18,640 --> 00:09:20,679 Speaker 1: Newsom was mayor of San Francisco and now he's got 161 00:09:20,960 --> 00:09:24,520 Speaker 1: as much as we don't like them. That's powerful, but 162 00:09:24,559 --> 00:09:27,600 Speaker 1: they try to make her like with her own huge career. 163 00:09:27,679 --> 00:09:29,840 Speaker 1: She had nothing going on, no, it says here. She 164 00:09:29,880 --> 00:09:32,560 Speaker 1: appeared in a couple of small stints and TV shows 165 00:09:32,600 --> 00:09:35,720 Speaker 1: with bit parts, and she was working on her documentary films. 166 00:09:36,240 --> 00:09:41,880 Speaker 1: They built her up into this equal professional powerful because 167 00:09:41,880 --> 00:09:44,160 Speaker 1: she's the partner, you see. That's why I don't like 168 00:09:44,240 --> 00:09:47,559 Speaker 1: that term. When you hear partner, you think of somebody 169 00:09:48,000 --> 00:09:51,079 Speaker 1: of equal stature in a company, in some kind of 170 00:09:51,120 --> 00:09:54,960 Speaker 1: business partnership, right, right, And so they want to present 171 00:09:55,000 --> 00:09:58,400 Speaker 1: her as an equal to Gavin Newsom, but she's not. 172 00:09:59,080 --> 00:10:01,520 Speaker 1: He's the governor, it is the state, and she is 173 00:10:01,840 --> 00:10:05,480 Speaker 1: a smart career multime actress. Then she gets pg NI 174 00:10:05,600 --> 00:10:09,320 Speaker 1: money to make feminist documentaries that nobody sees. She started 175 00:10:09,320 --> 00:10:11,880 Speaker 1: her own documentary business, which anybody can do. What's a 176 00:10:12,000 --> 00:10:15,960 Speaker 1: vanity project? That's nobody wants to say that out loud, 177 00:10:16,000 --> 00:10:20,440 Speaker 1: but nobody saw those feminist films, and a political donor 178 00:10:20,840 --> 00:10:24,480 Speaker 1: financed the films, so out of the room. She got 179 00:10:24,480 --> 00:10:27,240 Speaker 1: a business degree from Stanford, but then work for nonprofits 180 00:10:27,240 --> 00:10:29,839 Speaker 1: in Africa and Latin America before turning to a career 181 00:10:29,840 --> 00:10:34,280 Speaker 1: in Hollywood, and that brought her to Weinstein's hotel. Yeah, 182 00:10:34,320 --> 00:10:36,040 Speaker 1: and you know what they also I saw another story 183 00:10:36,080 --> 00:10:38,600 Speaker 1: today about all the all the emails that she wrote. 184 00:10:39,679 --> 00:10:43,440 Speaker 1: I think they were both in Toronto, she and Weinstein 185 00:10:43,480 --> 00:10:46,720 Speaker 1: at the same time, and she suggested meeting for lunch, 186 00:10:47,320 --> 00:10:49,280 Speaker 1: and so the attorneys kept saying, what you want to 187 00:10:49,280 --> 00:10:52,760 Speaker 1: meet your rapist for lunch? And you know that that's 188 00:10:52,960 --> 00:10:56,360 Speaker 1: that's I'm sorry for me. That's inexplicable. I don't understand 189 00:10:56,400 --> 00:10:59,480 Speaker 1: that you can you can have psychological experts sit all 190 00:10:59,559 --> 00:11:03,040 Speaker 1: day and try to give me the digres. She solicited 191 00:11:03,120 --> 00:11:05,920 Speaker 1: campaign donations for Newsom from Weinstein too. He gave the 192 00:11:05,960 --> 00:11:08,520 Speaker 1: money back, but she solicited the money from them. I mean, 193 00:11:08,600 --> 00:11:12,720 Speaker 1: the rape seems to be most terrific, right She's crying 194 00:11:12,760 --> 00:11:15,320 Speaker 1: and shaking in the courtroom, and I totally believe it happened. 195 00:11:15,720 --> 00:11:19,000 Speaker 1: But I just I just don't. You're trying to say 196 00:11:19,040 --> 00:11:21,600 Speaker 1: this was like a had a shattering impact on your life, 197 00:11:21,840 --> 00:11:23,880 Speaker 1: and you're breaking down as you talk about it. But 198 00:11:23,960 --> 00:11:25,880 Speaker 1: then you go back to two thousand and seven, you 199 00:11:25,920 --> 00:11:28,720 Speaker 1: had no problem writing him and asking him if he 200 00:11:28,760 --> 00:11:31,360 Speaker 1: wants to meet for lunch. I don't. I don't care 201 00:11:31,400 --> 00:11:35,439 Speaker 1: what you thought of his power in the Hollywood community. 202 00:11:35,480 --> 00:11:38,160 Speaker 1: I mean, there's a lot of people making movies and 203 00:11:38,200 --> 00:11:41,800 Speaker 1: television shows. You don't have to work with Harvey Weinstein. 204 00:11:43,080 --> 00:11:45,600 Speaker 1: We got more coming up. First things. First, you'll get 205 00:11:45,640 --> 00:11:48,600 Speaker 1: the final keyword for a chance to get a thousand 206 00:11:48,600 --> 00:11:51,360 Speaker 1: dollars from my Heart and Camfi John and Ken Caf. 207 00:11:51,360 --> 00:11:53,840 Speaker 1: I am six forty live everywhere on the iHeartRadio app. 208 00:11:54,360 --> 00:11:57,800 Speaker 1: I'm still seeing the headline. So explain to me when 209 00:11:57,840 --> 00:12:01,240 Speaker 1: they decided in their style books to make the B 210 00:12:01,559 --> 00:12:06,080 Speaker 1: in black capital but not like for white people. Why 211 00:12:06,080 --> 00:12:08,520 Speaker 1: did they do that no capital? Well, it came out 212 00:12:08,520 --> 00:12:11,440 Speaker 1: of the whole George Floyd upheaval. I don't but why 213 00:12:12,400 --> 00:12:13,959 Speaker 1: is there any kind of a I don't I know. 214 00:12:14,040 --> 00:12:17,240 Speaker 1: I never read why. I don't know. Oh, okay, because 215 00:12:17,679 --> 00:12:20,160 Speaker 1: I'm looking at not the Times. It's a different website. 216 00:12:20,240 --> 00:12:24,120 Speaker 1: Kcr A Los Angeles Alex Karen bass as mayor first 217 00:12:24,480 --> 00:12:29,240 Speaker 1: black capital B woman in post. I just wondered. I 218 00:12:29,240 --> 00:12:30,959 Speaker 1: just thought you might know because you follow these kind 219 00:12:30,960 --> 00:12:35,120 Speaker 1: of crazy you know what. I never saw why and 220 00:12:35,400 --> 00:12:38,959 Speaker 1: uh now, let me let me hope. Well, I think 221 00:12:39,000 --> 00:12:41,640 Speaker 1: it right. Latino they spell with an with a big L. 222 00:12:41,800 --> 00:12:44,360 Speaker 1: They do a capital L. I think they do, right, Yeah, 223 00:12:44,360 --> 00:12:46,280 Speaker 1: it says I got. I got a site from the 224 00:12:46,320 --> 00:12:50,800 Speaker 1: Columbia Journalism Review. We capitalized black and not white when 225 00:12:50,880 --> 00:12:54,760 Speaker 1: referring to groups in racial, ethnic, or cultural terms. For 226 00:12:54,840 --> 00:12:59,520 Speaker 1: many people, black capital B represents a shared sense of 227 00:12:59,600 --> 00:13:03,360 Speaker 1: identity in community. White carries a different set of meanings. 228 00:13:03,960 --> 00:13:07,760 Speaker 1: Capitalizing the word in this contest risks following the lead 229 00:13:07,840 --> 00:13:12,240 Speaker 1: of white supremacists. What the hell? Oh wow, that's interesting. 230 00:13:12,240 --> 00:13:18,880 Speaker 1: I would not have guessed that. What uh so right? 231 00:13:18,920 --> 00:13:21,160 Speaker 1: If you capitalize it, white supremacist seize on that and 232 00:13:21,160 --> 00:13:23,680 Speaker 1: saying there, there you go, that makes us more important. 233 00:13:24,240 --> 00:13:26,320 Speaker 1: We are on top of the world. I don't know, 234 00:13:26,480 --> 00:13:30,000 Speaker 1: Maybe I'm I'm the wrong, like they've they've they've had 235 00:13:30,520 --> 00:13:33,040 Speaker 1: a general rule that names of ethnic and national groups 236 00:13:33,040 --> 00:13:38,280 Speaker 1: are capitalized. But uh yeah, that's true with when I 237 00:13:38,320 --> 00:13:40,719 Speaker 1: see Latino, Hispanic, I do see a capital agient, a 238 00:13:40,800 --> 00:13:43,800 Speaker 1: capital L. I do see that, right, So, But but 239 00:13:44,480 --> 00:13:48,560 Speaker 1: what I guess I do see why is a capital 240 00:13:49,559 --> 00:13:53,480 Speaker 1: W for white automatically links it to white supremacy, as 241 00:13:53,520 --> 00:13:58,280 Speaker 1: if other ethnic and racial groups don't also have crazy 242 00:13:58,400 --> 00:14:02,640 Speaker 1: organizations are organized around their color or ethnicity, only only 243 00:14:02,679 --> 00:14:06,400 Speaker 1: white people have this white supremacy thing. Yeah. All the 244 00:14:06,800 --> 00:14:10,360 Speaker 1: other groups are squeaky clean. They don't have any any lunatics. 245 00:14:10,600 --> 00:14:14,480 Speaker 1: Come on. That is, yes, that is ultra woke horse. 246 00:14:14,559 --> 00:14:16,520 Speaker 1: So that was eye opening. I had this in reverse. 247 00:14:18,000 --> 00:14:22,760 Speaker 1: It really wasn't about capitalizing the bee for black. It 248 00:14:22,880 --> 00:14:25,640 Speaker 1: was about making the letter W small and white. That's 249 00:14:25,640 --> 00:14:27,440 Speaker 1: really what it was about. I get it now, I 250 00:14:27,560 --> 00:14:31,040 Speaker 1: had I had it backwards. Yeah, yeah, that's the first 251 00:14:31,080 --> 00:14:33,920 Speaker 1: time I read about it. I just maybe before twenty twenty, 252 00:14:33,960 --> 00:14:36,400 Speaker 1: when they had referred to people in stories as being black, 253 00:14:36,440 --> 00:14:38,240 Speaker 1: they had it as a small bee. I guess they did, 254 00:14:38,280 --> 00:14:42,080 Speaker 1: because I don't remember, but I just figured it was, 255 00:14:42,600 --> 00:14:46,400 Speaker 1: you know, some woke spasm that that was meant entirely 256 00:14:46,480 --> 00:14:49,960 Speaker 1: as symbolism, virtue signaling that we are going to raise 257 00:14:50,120 --> 00:14:57,400 Speaker 1: the spirits by capitalizing the letter. And it said mainstream 258 00:14:57,400 --> 00:15:03,560 Speaker 1: media virtually overnight overnight. Yeah, after the George Floyd's thing. Yeah, 259 00:15:03,560 --> 00:15:05,040 Speaker 1: I remember you mentioned this a year or two ago. 260 00:15:05,120 --> 00:15:09,480 Speaker 1: You said, oh, suddenly that's a capital B. We have 261 00:15:09,600 --> 00:15:14,720 Speaker 1: news out of Sacramento. Apparently the Legislative Analysts, which is 262 00:15:14,760 --> 00:15:17,480 Speaker 1: supposed to be this bipartisan office that takes a look 263 00:15:17,480 --> 00:15:22,000 Speaker 1: at many things. Especially the budget says that the twenty 264 00:15:22,600 --> 00:15:25,880 Speaker 1: three twenty twenty four fiscal outlook for California is now 265 00:15:25,920 --> 00:15:31,000 Speaker 1: grim and we face a twenty five billion dollar budget shortfall. 266 00:15:31,760 --> 00:15:34,680 Speaker 1: Now they're factoring in the threat of a recession, which 267 00:15:34,760 --> 00:15:38,440 Speaker 1: is clearly real as the FED continues to fight inflation, 268 00:15:38,920 --> 00:15:42,040 Speaker 1: and you're seeing stories like Amazon layoffs and Facebook layoffs 269 00:15:42,040 --> 00:15:46,600 Speaker 1: and other company layoffs that could domino through the economy 270 00:15:46,800 --> 00:15:49,000 Speaker 1: and put us into a real recession, which we are 271 00:15:49,040 --> 00:15:52,240 Speaker 1: not in yet, but they factored it in. And we 272 00:15:52,320 --> 00:15:55,560 Speaker 1: know what happens in California when there is an economic downturn. 273 00:15:56,360 --> 00:16:00,800 Speaker 1: It is resoundingly big because of the way that this 274 00:16:00,840 --> 00:16:04,600 Speaker 1: state collects money from a select few taxpayers and the 275 00:16:04,680 --> 00:16:08,040 Speaker 1: way with this governor especially, we have padded the social 276 00:16:08,040 --> 00:16:10,720 Speaker 1: service spending. I mean, we mentioned this the other day 277 00:16:10,720 --> 00:16:16,479 Speaker 1: that Newsom has expanded medical to all sorts of illegal immigrants. 278 00:16:16,840 --> 00:16:19,440 Speaker 1: He's got the free preschool, He's got all these programs 279 00:16:19,480 --> 00:16:23,520 Speaker 1: he's put out there, and they're locked. They're permanent, so 280 00:16:24,440 --> 00:16:30,000 Speaker 1: everything cycles. We could be cycling into another huge budget situation. 281 00:16:30,720 --> 00:16:33,960 Speaker 1: California does have thirty seven point two billion in reserves, 282 00:16:35,160 --> 00:16:37,320 Speaker 1: but you know, some of those reserves were supposed to 283 00:16:37,320 --> 00:16:41,200 Speaker 1: be for the economy, and some of them are supposedly 284 00:16:41,240 --> 00:16:43,120 Speaker 1: to help pay off some of the long term debt 285 00:16:43,440 --> 00:16:46,160 Speaker 1: that we've accumulated thanks to pensions and all that stuff. 286 00:16:46,200 --> 00:16:49,760 Speaker 1: So just putting out the first word that we're already 287 00:16:49,760 --> 00:16:54,400 Speaker 1: heading south. It wasn't long ago. There's this big rejoicing 288 00:16:54,400 --> 00:16:56,960 Speaker 1: over this one hundred billion dollar deficit, and now we're 289 00:16:57,000 --> 00:17:00,560 Speaker 1: heading into a negative territory quickly. Harvey, got more coming up, 290 00:17:00,600 --> 00:17:03,480 Speaker 1: John and Ken kf I am six forty live everywhere 291 00:17:03,560 --> 00:17:08,399 Speaker 1: on the iHeartRadio app. The twelfth annual KFI Pastathon is on. 292 00:17:09,240 --> 00:17:12,639 Speaker 1: And because you've been so generous, Chef Bruno's charity, Katarina's 293 00:17:12,680 --> 00:17:15,160 Speaker 1: Club has been able to provide more than twenty five 294 00:17:15,200 --> 00:17:18,560 Speaker 1: thousand meals every week, every week to kids in need 295 00:17:18,600 --> 00:17:22,200 Speaker 1: in southern California. And here's what you can do. Donate 296 00:17:22,240 --> 00:17:26,480 Speaker 1: money at postathon dot com. Also shop at any smart 297 00:17:26,520 --> 00:17:30,320 Speaker 1: and Final story in California, Arizona, and Nevada and donate 298 00:17:30,440 --> 00:17:33,199 Speaker 1: at the checkout. And Neil Savadru will be out at 299 00:17:33,200 --> 00:17:36,320 Speaker 1: the Smartan Final in Orange Saturday two to five o'clock, 300 00:17:36,320 --> 00:17:40,040 Speaker 1: broadcasting live. That's fourteen oh one East Katella Avenue in 301 00:17:40,119 --> 00:17:43,120 Speaker 1: the Tuscatella Shopping Center. You can also go to any 302 00:17:43,160 --> 00:17:46,160 Speaker 1: Wendy's restaurant in southern California and donate. One hundred percent 303 00:17:46,160 --> 00:17:48,879 Speaker 1: of your donation goes to Katarina's Club and Conway is 304 00:17:48,880 --> 00:17:51,560 Speaker 1: going to broadcast live I'm giving Tuesday, November twenty nine 305 00:17:51,600 --> 00:17:54,040 Speaker 1: from six to ten at the Anaheim Whitehouse and you 306 00:17:54,080 --> 00:17:57,399 Speaker 1: can go there and donate on site. All details at 307 00:17:57,480 --> 00:18:00,840 Speaker 1: postathon dot com. All right, we want to remind you 308 00:18:00,920 --> 00:18:03,359 Speaker 1: that the Moistline has lots of openings, so step right 309 00:18:03,440 --> 00:18:05,840 Speaker 1: up and leave a message. You can use the iHeartRadio 310 00:18:05,960 --> 00:18:09,199 Speaker 1: app the microphone icon to connect to the Moistline, or 311 00:18:09,240 --> 00:18:11,760 Speaker 1: call the old toll free number one eight seven seven 312 00:18:11,840 --> 00:18:15,760 Speaker 1: Moist eighty six one eight seven seven six six four 313 00:18:16,400 --> 00:18:19,639 Speaker 1: seven eighty eight six. Karen bass is the mayor of 314 00:18:19,680 --> 00:18:25,600 Speaker 1: Los Angeles, but Republicans do contain to get control of 315 00:18:25,600 --> 00:18:28,000 Speaker 1: the House of Representatives. Nancy Pelosi is no longer the 316 00:18:28,040 --> 00:18:32,399 Speaker 1: Speaker of the House or shortly, and Kevin McCarthy's expected 317 00:18:32,400 --> 00:18:35,919 Speaker 1: to get that post to California Congressman. She might end 318 00:18:35,960 --> 00:18:38,399 Speaker 1: up being House Minority leader, or she might just decide 319 00:18:38,400 --> 00:18:40,800 Speaker 1: to give up leadership posts. But before we understand, he's 320 00:18:40,800 --> 00:18:43,640 Speaker 1: not given up on Congress even at eighty What does 321 00:18:43,640 --> 00:18:45,600 Speaker 1: she eighty two? I always forget all these people's ages. 322 00:18:45,600 --> 00:18:51,520 Speaker 1: Think eighty two. Yeah. Reports are coming in out of Idaho. 323 00:18:52,240 --> 00:18:55,680 Speaker 1: Big story this week was the murder of four college 324 00:18:55,720 --> 00:19:01,040 Speaker 1: students inside their off campus house that they lived in. 325 00:19:02,280 --> 00:19:07,560 Speaker 1: Police officials in Missus in Moscow, Idaho told that the 326 00:19:07,600 --> 00:19:11,520 Speaker 1: community should watch out for each other because they have 327 00:19:11,720 --> 00:19:15,639 Speaker 1: not arrested a suspect, they have not recovered a murder weapon. 328 00:19:16,119 --> 00:19:17,919 Speaker 1: They don't have a lot on this story, or at 329 00:19:17,960 --> 00:19:21,280 Speaker 1: least a lot that they're revealing. Well, what they did 330 00:19:21,320 --> 00:19:24,760 Speaker 1: say today, and this was written a bit confusingly in 331 00:19:24,800 --> 00:19:29,639 Speaker 1: the Daily Mail website. Two roommates were inside the house 332 00:19:29,680 --> 00:19:32,280 Speaker 1: at the time of the killings, but when you scroll 333 00:19:32,359 --> 00:19:36,080 Speaker 1: down in the story for further detail, they were inside 334 00:19:36,080 --> 00:19:40,680 Speaker 1: the house when police arrived, which was allegedly hours after 335 00:19:42,400 --> 00:19:45,359 Speaker 1: four people were stabbed to death. They believed the killings 336 00:19:45,400 --> 00:19:49,639 Speaker 1: took place at three to four a m. Sunday morning. 337 00:19:50,000 --> 00:19:52,920 Speaker 1: Police didn't get there till almost noontime, and there were 338 00:19:52,920 --> 00:19:57,760 Speaker 1: two unnamed roommates inside the house when they arrived. If 339 00:19:57,760 --> 00:20:00,240 Speaker 1: you have not seen this update, it's a little grim. 340 00:20:00,280 --> 00:20:03,359 Speaker 1: There was blood everywhere you see those pictures. Yeah, there's 341 00:20:03,400 --> 00:20:08,000 Speaker 1: even blood, I guess, leaking through the floorboards down the 342 00:20:09,640 --> 00:20:12,399 Speaker 1: sidewall of the house. It looks like they had a 343 00:20:12,480 --> 00:20:15,639 Speaker 1: basement with a cement wall, and so the blood was 344 00:20:15,720 --> 00:20:18,439 Speaker 1: leaking out of the main floor and then down the 345 00:20:18,480 --> 00:20:25,200 Speaker 1: cement wall. There's like six strands of blood six. Whoever 346 00:20:25,320 --> 00:20:28,040 Speaker 1: did this just stabbed them and left them to bleed out, 347 00:20:28,640 --> 00:20:30,480 Speaker 1: and I guess they were not able to get to 348 00:20:30,600 --> 00:20:34,000 Speaker 1: any kind of a phone for help. Now, I don't 349 00:20:34,640 --> 00:20:37,400 Speaker 1: the part that I just said the two roommates inside 350 00:20:37,400 --> 00:20:39,280 Speaker 1: the house at the time of the killing, well, I 351 00:20:39,280 --> 00:20:42,320 Speaker 1: don't believe. I think that's just a misinterpretation. Yeah. The 352 00:20:42,960 --> 00:20:48,080 Speaker 1: Daily Mail is not known for accuracy really sharp riding talents. 353 00:20:47,800 --> 00:20:50,560 Speaker 1: It's called a breaking story, which tells me somebody probably 354 00:20:50,880 --> 00:20:54,399 Speaker 1: type that line fast and didn't think about because the 355 00:20:54,480 --> 00:20:56,399 Speaker 1: detail later says they were inside the house and the 356 00:20:56,520 --> 00:21:01,400 Speaker 1: police arrived possibly nine hours after these people were stabbed. 357 00:21:03,400 --> 00:21:05,480 Speaker 1: The police department have described the scene as the most 358 00:21:05,480 --> 00:21:09,720 Speaker 1: gruesome and harrowing they have ever seen. Twenty five people 359 00:21:09,720 --> 00:21:12,320 Speaker 1: from the FBI, Idaho State Police in the Moscow Police 360 00:21:12,359 --> 00:21:16,520 Speaker 1: department are assigned to the case. Now. The other little 361 00:21:16,640 --> 00:21:19,800 Speaker 1: detail that came out today as far as this case 362 00:21:19,960 --> 00:21:24,160 Speaker 1: is concerned, apparently a couple of months ago, a warning 363 00:21:24,200 --> 00:21:28,600 Speaker 1: went out when some locals and I think they're also 364 00:21:28,680 --> 00:21:32,800 Speaker 1: college students, were approached by someone with a knife. But 365 00:21:32,880 --> 00:21:36,800 Speaker 1: they don't believe that there's any connection between that incident 366 00:21:37,640 --> 00:21:41,960 Speaker 1: and what happened at this house to these four college students. 367 00:21:42,680 --> 00:21:45,920 Speaker 1: They have dismissed that as possibly being a link, but 368 00:21:47,119 --> 00:21:50,439 Speaker 1: they put that out there today because obviously this is 369 00:21:50,440 --> 00:21:52,720 Speaker 1: a small town. The university is the big deal there. 370 00:21:52,800 --> 00:21:57,000 Speaker 1: You get these police situations occasionally where the police want 371 00:21:57,040 --> 00:22:00,560 Speaker 1: to calm the town down and say, look, you don't 372 00:22:00,560 --> 00:22:03,120 Speaker 1: have a crazy guy on the loose. He's not out 373 00:22:03,160 --> 00:22:06,120 Speaker 1: to kill random people. But at the same time they 374 00:22:06,119 --> 00:22:09,679 Speaker 1: don't want to give out any detail, which which indicates 375 00:22:09,720 --> 00:22:13,480 Speaker 1: to me is they do know that it is somebody 376 00:22:13,520 --> 00:22:18,120 Speaker 1: that these four knew right Otherwise, how could you say 377 00:22:18,119 --> 00:22:21,440 Speaker 1: that if you had no idea who it was, then 378 00:22:21,480 --> 00:22:24,080 Speaker 1: you can't say, oh, everybody in town is safe. No 379 00:22:24,160 --> 00:22:27,359 Speaker 1: they're not. But if you know specifically who did it, 380 00:22:27,400 --> 00:22:30,159 Speaker 1: and you have an idea why they did it, then 381 00:22:31,359 --> 00:22:34,080 Speaker 1: then you could be confident, saying that because a lot 382 00:22:34,160 --> 00:22:36,960 Speaker 1: of a lot of the college students were they cleared 383 00:22:37,000 --> 00:22:39,119 Speaker 1: out of the university to the point where there was 384 00:22:39,119 --> 00:22:42,360 Speaker 1: nobody around. They were gonna have a village a vigil 385 00:22:42,760 --> 00:22:45,320 Speaker 1: for the dead students, and they canceled the vigil because 386 00:22:45,480 --> 00:22:47,720 Speaker 1: there was nobody on campus. Nobody wanted to risk it. 387 00:22:48,800 --> 00:22:54,520 Speaker 1: Here is what they revealed today. On Saturday evening, Zena 388 00:22:55,440 --> 00:22:58,800 Speaker 1: Carndal and Ethan Chapin were at a party on campus 389 00:22:58,800 --> 00:23:02,440 Speaker 1: away from the crime scene. Madison Mogan and Kay league 390 00:23:02,440 --> 00:23:07,359 Speaker 1: On Calvis were at a bar came home at approximately 391 00:23:07,400 --> 00:23:11,240 Speaker 1: one forty five am Sunday morning. Police responded to a 392 00:23:11,280 --> 00:23:13,959 Speaker 1: report of an unconscious person at the house near campus 393 00:23:14,000 --> 00:23:17,240 Speaker 1: just before noon on Sunday. When they arrived, they found 394 00:23:17,240 --> 00:23:19,800 Speaker 1: the four victims and two other people, both uninjured, who 395 00:23:19,840 --> 00:23:22,600 Speaker 1: would live in the hall. The victims had all been 396 00:23:22,640 --> 00:23:25,320 Speaker 1: stabbed with a knife. They found no sign of forced entry. 397 00:23:25,920 --> 00:23:27,719 Speaker 1: The door was still open when they got there. There 398 00:23:27,760 --> 00:23:31,440 Speaker 1: was no attempt at a robbery. Somebody believe though they're 399 00:23:31,480 --> 00:23:34,320 Speaker 1: continuing to say it was an isolated targeted attack. Right 400 00:23:34,560 --> 00:23:38,239 Speaker 1: somebody they knew, right, But right now they're saying there 401 00:23:38,320 --> 00:23:42,160 Speaker 1: is no suspect at this time. Well, but police also 402 00:23:42,200 --> 00:23:44,920 Speaker 1: said they can no longer say there is no threat 403 00:23:44,960 --> 00:23:48,360 Speaker 1: to the community. They did point that out today they 404 00:23:48,400 --> 00:23:51,080 Speaker 1: can no longer say that. Well, how well, then why 405 00:23:51,080 --> 00:23:54,280 Speaker 1: did they ever say it? They don't go today, but 406 00:23:54,320 --> 00:23:57,760 Speaker 1: they knew yesterday. You know what you've got. You've got 407 00:23:57,760 --> 00:24:01,479 Speaker 1: small town police syndrome here. Come on, Oh, you know 408 00:24:01,480 --> 00:24:03,840 Speaker 1: how many times local police departments have botched up a 409 00:24:03,920 --> 00:24:06,680 Speaker 1: case because they had no experience doing this. The Daily 410 00:24:06,760 --> 00:24:10,520 Speaker 1: Mail was not wrong. The last bullet point here revealed 411 00:24:10,520 --> 00:24:12,680 Speaker 1: today at the press conference. The two the roommates of 412 00:24:12,720 --> 00:24:15,119 Speaker 1: the victims, were in the home at the time of 413 00:24:15,119 --> 00:24:18,000 Speaker 1: the attack and we're not hurt. Well, then they know 414 00:24:18,160 --> 00:24:20,560 Speaker 1: something or are they just in a room with their 415 00:24:20,560 --> 00:24:24,040 Speaker 1: headphones on and they didn't hear somebody being stabbed. I'm 416 00:24:24,080 --> 00:24:27,240 Speaker 1: not really sure I understand that part, but they would 417 00:24:27,240 --> 00:24:32,640 Speaker 1: seem to be valuable in providing information about the attack. 418 00:24:32,840 --> 00:24:35,439 Speaker 1: What time do they think the stabbings happen? Like between 419 00:24:35,520 --> 00:24:38,240 Speaker 1: three and four am? I guess you could be asleep, 420 00:24:39,200 --> 00:24:43,199 Speaker 1: that's true and really out of it. Yeah, you and 421 00:24:43,320 --> 00:24:45,640 Speaker 1: you woke up the commune because college students do wake 422 00:24:45,760 --> 00:24:48,639 Speaker 1: up many hours if they stay up late. They might 423 00:24:48,640 --> 00:24:50,480 Speaker 1: get up at ten or eleven plus. You know, they 424 00:24:50,520 --> 00:24:52,800 Speaker 1: could have been drugged out or drunk too passed out. 425 00:24:53,800 --> 00:24:55,920 Speaker 1: They're waking up Sunday morning or wandering around the house 426 00:24:55,920 --> 00:24:58,280 Speaker 1: and seeing all the blood and singer roommates all got stabbed. 427 00:24:58,359 --> 00:25:00,280 Speaker 1: I don't know so far, they're not acting like the 428 00:25:00,359 --> 00:25:04,960 Speaker 1: roommates are the suspects. Yeah, no, that is the truth. 429 00:25:04,960 --> 00:25:07,240 Speaker 1: The roommates were home or they're girls are going to 430 00:25:07,280 --> 00:25:09,240 Speaker 1: look for DNA and see if they find a fifth 431 00:25:09,840 --> 00:25:14,720 Speaker 1: a fifth person's DNA in the mess. If the if 432 00:25:14,720 --> 00:25:17,760 Speaker 1: the killer got cut and left any of his blood behind, 433 00:25:18,560 --> 00:25:22,240 Speaker 1: that must have been I mean, even if they were sleeping, 434 00:25:22,280 --> 00:25:24,199 Speaker 1: that must have been a pretty quiet stabbing that this 435 00:25:24,280 --> 00:25:27,359 Speaker 1: person or person's carried out. Right, if you get them 436 00:25:27,359 --> 00:25:30,639 Speaker 1: when they're sleeping, I mean you could you could do 437 00:25:30,760 --> 00:25:34,120 Speaker 1: we could do a lot of damage before they respond, Yes, 438 00:25:34,119 --> 00:25:36,640 Speaker 1: you're right, there is a possibility. Then I don't know. 439 00:25:37,359 --> 00:25:38,840 Speaker 1: I mean, if the girl if I don't know, if 440 00:25:38,920 --> 00:25:41,880 Speaker 1: we're they all sleeping in separate bedrooms or yeah, we don't. 441 00:25:41,880 --> 00:25:43,800 Speaker 1: We didn't reveal that. We don't know that. So you know, 442 00:25:43,840 --> 00:25:45,680 Speaker 1: when you're you're in the when you're in the middle 443 00:25:45,720 --> 00:25:49,800 Speaker 1: of your deep cycle of sleep. You're you're it's almost 444 00:25:49,800 --> 00:25:53,840 Speaker 1: like you're dead, right, I mean it takes a tremendous amount, 445 00:25:53,880 --> 00:25:55,680 Speaker 1: like a fire alarm to wake you up at it 446 00:25:55,800 --> 00:25:58,479 Speaker 1: something like that. All right, we got more coming up, 447 00:25:58,520 --> 00:26:00,520 Speaker 1: John and Ken k F. I am six forty live 448 00:26:00,560 --> 00:26:05,400 Speaker 1: everywhere the iHeartRadio app. We're gonna give away we meet 449 00:26:05,400 --> 00:26:09,160 Speaker 1: in KFI four packs of tickets to Disneyland. Because Magic 450 00:26:09,359 --> 00:26:12,040 Speaker 1: is Holidays at the Disneyland Resort, CAFI wants to send 451 00:26:12,080 --> 00:26:14,800 Speaker 1: you to experience the festive joy you've been dreaming about. 452 00:26:15,160 --> 00:26:18,160 Speaker 1: Magic is Sleeping Beauties, winter Castle covered in festive lights. 453 00:26:18,640 --> 00:26:22,520 Speaker 1: It's the Disney Festival of Holidays and Disney Viva Navidad 454 00:26:23,040 --> 00:26:25,240 Speaker 1: the street party. Magic is the Holidays now a through 455 00:26:25,359 --> 00:26:29,119 Speaker 1: January eighth. Both ticket and park reservations required. Visit Disneyland 456 00:26:29,200 --> 00:26:31,440 Speaker 1: dot com for important details and probably a lot of 457 00:26:31,520 --> 00:26:36,040 Speaker 1: unimportant details. Of offerings are subject to capacity restrictions, change 458 00:26:36,040 --> 00:26:38,719 Speaker 1: without notice and keep listening. Your chance to end right 459 00:26:38,760 --> 00:26:41,400 Speaker 1: here on Cafi A six forty. How can you You're 460 00:26:41,400 --> 00:26:46,680 Speaker 1: a promotional machine, just one after the other. Here raking 461 00:26:46,720 --> 00:26:51,199 Speaker 1: in the money, raking in the money. You gotta be 462 00:26:51,280 --> 00:26:54,640 Speaker 1: amused about the new guy heading up Twitter. Ever heard 463 00:26:54,640 --> 00:26:58,080 Speaker 1: of him? Elon Musk, No, your name ring a bell. 464 00:27:00,240 --> 00:27:05,080 Speaker 1: He's been sending out memos to workers. Number one, you're 465 00:27:05,119 --> 00:27:07,920 Speaker 1: not going to work remotely anymore. Number two, get prepared 466 00:27:07,920 --> 00:27:12,360 Speaker 1: to work eighty hour weeks. Number three, don't complain about it. 467 00:27:12,840 --> 00:27:14,399 Speaker 1: If you don't like any of these things, you're going 468 00:27:14,440 --> 00:27:22,360 Speaker 1: to be fired. Obviously, he doesn't believe in the collaborative 469 00:27:22,359 --> 00:27:26,520 Speaker 1: employee approach. He does not believe that you need to 470 00:27:26,600 --> 00:27:30,120 Speaker 1: raise morale and get the workers to love and respect you, 471 00:27:30,240 --> 00:27:33,240 Speaker 1: and then they'll work harder for you, and you're gonna 472 00:27:33,280 --> 00:27:36,800 Speaker 1: coddle me. Aren't you gonna care for me? Yeah? This 473 00:27:36,880 --> 00:27:39,000 Speaker 1: is a slap in the face to the wokesters at 474 00:27:39,000 --> 00:27:41,960 Speaker 1: a place like Twitter. Can you imagine? Boy, he must 475 00:27:42,040 --> 00:27:44,280 Speaker 1: really be hated. He already was, but now that he's 476 00:27:44,359 --> 00:27:48,680 Speaker 1: running the company and he also hates them. I think 477 00:27:48,720 --> 00:27:50,520 Speaker 1: he knows a lot of them are gonna quit, and 478 00:27:50,560 --> 00:27:53,520 Speaker 1: he wants them to quit. I know, yeah, because they 479 00:27:53,560 --> 00:27:58,240 Speaker 1: are a lot of precocious, annoying wolcats. He is requiring 480 00:27:58,280 --> 00:28:01,960 Speaker 1: every worker to fill out a Google form indicating they're 481 00:28:01,960 --> 00:28:06,640 Speaker 1: willing to work to the bone, to achieve Elon Musk's 482 00:28:06,760 --> 00:28:10,800 Speaker 1: goals going forward, to build a breakthrough Twitter two point 483 00:28:10,800 --> 00:28:14,800 Speaker 1: always calling it and succeed in an increasingly competitive world, 484 00:28:15,080 --> 00:28:19,000 Speaker 1: will need to be extremely hardcore. That's the word he uses, hardcore. 485 00:28:19,480 --> 00:28:22,800 Speaker 1: This will mean working long hours at high intensity. Only 486 00:28:22,880 --> 00:28:28,159 Speaker 1: exceptional performance will constitute a passing grade. Workers will be 487 00:28:28,200 --> 00:28:33,520 Speaker 1: expected to work twelve hours a day, seven days a week. 488 00:28:35,920 --> 00:28:38,560 Speaker 1: Are there any labor laws here that come into play? 489 00:28:38,600 --> 00:28:41,680 Speaker 1: Or if you don't like it, you'll get three weeks 490 00:28:41,680 --> 00:28:43,880 Speaker 1: of severance Today, there's the door. He could set everything 491 00:28:43,960 --> 00:28:46,080 Speaker 1: up in foreign countries they where there are no laws. 492 00:28:47,600 --> 00:28:51,240 Speaker 1: I guess he's already booted two workers who poked fun 493 00:28:51,320 --> 00:28:54,320 Speaker 1: at him or sparred with him on Twitter. Oh yeah, 494 00:28:54,320 --> 00:28:58,360 Speaker 1: theycluding a guy by the name of Eric Fronehoffer, an engineer. Yeah. 495 00:28:58,480 --> 00:29:02,120 Speaker 1: Now the Wieners, the Wokes. They use Twitter to scold 496 00:29:02,160 --> 00:29:06,000 Speaker 1: people and show show how unhappy they are, and the 497 00:29:06,080 --> 00:29:10,080 Speaker 1: Musk is giving them the big few. Yes, I own 498 00:29:10,160 --> 00:29:12,720 Speaker 1: the company. You don't get out of here, he says. 499 00:29:12,800 --> 00:29:15,960 Speaker 1: At least several staffers who badmouthed him on the company's 500 00:29:15,960 --> 00:29:20,120 Speaker 1: slack channels were sacked. Yes, that's what the Wieners like. 501 00:29:20,160 --> 00:29:23,160 Speaker 1: To do all the woke weeners. The slack channels is 502 00:29:23,160 --> 00:29:26,440 Speaker 1: like internal social media? Is that what that is? Yeah? Yeah, 503 00:29:26,560 --> 00:29:28,440 Speaker 1: they all do. We have one for I heard er? 504 00:29:29,320 --> 00:29:32,480 Speaker 1: Uh no, can I go on there in bad mouth you? 505 00:29:34,120 --> 00:29:35,720 Speaker 1: I think people who do that, by the way, are 506 00:29:35,720 --> 00:29:38,760 Speaker 1: really losers. If you spend the day on your internal 507 00:29:38,840 --> 00:29:43,720 Speaker 1: social media carping and gossiping and complaining, it's like, oh geez, 508 00:29:43,920 --> 00:29:45,760 Speaker 1: you know what? And and The New York Times says 509 00:29:45,800 --> 00:29:48,640 Speaker 1: two dozen workers got the boot after talking smack about 510 00:29:48,720 --> 00:29:51,520 Speaker 1: Elon Musk on the channels. The company was losing money. 511 00:29:51,520 --> 00:29:54,040 Speaker 1: He said they were losing four million dollars a day, right, 512 00:29:54,200 --> 00:29:57,040 Speaker 1: so and and and it's it's a nonsense line of work. 513 00:29:57,080 --> 00:29:59,959 Speaker 1: I have no sympathy for this. This, this whole Twitter 514 00:30:00,040 --> 00:30:02,880 Speaker 1: things shouldn't even exist. It's a It's of no use, 515 00:30:02,960 --> 00:30:05,520 Speaker 1: there's no it passes time for people. Yeah, there's no 516 00:30:05,560 --> 00:30:09,760 Speaker 1: purpose to it. There's no positive attribute that it has 517 00:30:09,760 --> 00:30:14,600 Speaker 1: no improvement in society. It's just people being stupid all day. 518 00:30:14,680 --> 00:30:17,280 Speaker 1: And nobody ever made any money at it. So let him, 519 00:30:17,800 --> 00:30:19,760 Speaker 1: I hope the whole thing goes bankrupt, and let him 520 00:30:19,800 --> 00:30:23,960 Speaker 1: fire everybody. And it's fascinating when you have that much 521 00:30:24,040 --> 00:30:26,440 Speaker 1: money and you can carry out. In this case, it 522 00:30:26,440 --> 00:30:28,600 Speaker 1: looks like revenge, all right. It does look like he's 523 00:30:28,680 --> 00:30:32,320 Speaker 1: decided that he hated Twitter and it's free speech rules 524 00:30:32,360 --> 00:30:35,440 Speaker 1: and it's wokes nous, and he decided that, Well, you know, 525 00:30:35,480 --> 00:30:37,920 Speaker 1: one of these days, I'm gonna use my fortune and 526 00:30:37,960 --> 00:30:39,920 Speaker 1: I'm gonna buy out that place and just clear out 527 00:30:39,960 --> 00:30:42,479 Speaker 1: all that riff, right, because there they are. They are 528 00:30:42,520 --> 00:30:48,040 Speaker 1: precious little book babies, and I'm enjoying this. You are, 529 00:30:48,400 --> 00:30:52,760 Speaker 1: I am, Yeah, I am probably all on their slack 530 00:30:52,840 --> 00:30:56,400 Speaker 1: channels now crying. Think Elon Musk is mean. We use 531 00:30:56,480 --> 00:30:58,840 Speaker 1: slacking promotions a few years ago when I was still 532 00:30:58,840 --> 00:31:01,479 Speaker 1: in it, Oh yeah, I did people whine and complain 533 00:31:01,520 --> 00:31:04,040 Speaker 1: on there all the time. No, we actually just actually 534 00:31:04,040 --> 00:31:05,719 Speaker 1: stop using it. They tried to get us to use 535 00:31:05,760 --> 00:31:08,240 Speaker 1: it instead of another form that we were using. We 536 00:31:08,320 --> 00:31:10,880 Speaker 1: just all use the old form. But it's really supposed 537 00:31:10,880 --> 00:31:13,120 Speaker 1: to be about messaging over work issues, right, It's not 538 00:31:13,160 --> 00:31:14,760 Speaker 1: supposed to be to sit there as a forum to 539 00:31:14,800 --> 00:31:17,200 Speaker 1: have opinions about other workers in the workplace. So I 540 00:31:17,200 --> 00:31:19,880 Speaker 1: don't think it's supposed it's a chat to get work done. 541 00:31:19,960 --> 00:31:22,760 Speaker 1: It that's its purpose. But every time I read about 542 00:31:22,760 --> 00:31:25,920 Speaker 1: a company in turmoil, there's always a couple of paragraphs 543 00:31:25,920 --> 00:31:30,200 Speaker 1: on what they're saying on Slack and how upset they are. 544 00:31:30,200 --> 00:31:34,600 Speaker 1: And it's like us using Microsoft teams. Yeah, that is insane. 545 00:31:35,440 --> 00:31:39,120 Speaker 1: We got Conway, Hey, nah, what is this the Software 546 00:31:39,120 --> 00:31:42,640 Speaker 1: Hour were talking about talking? Yeah, there's a Slack channel 547 00:31:42,640 --> 00:31:45,280 Speaker 1: devoted to you Tube the Tech show. Yeah, there's a 548 00:31:45,400 --> 00:31:47,880 Speaker 1: channel devoted to people who hate Tim Conway. Is that right? 549 00:31:48,120 --> 00:31:51,880 Speaker 1: But there's more than go on with them. Steve Gregory 550 00:31:51,920 --> 00:31:53,720 Speaker 1: is coming on with let's talk about the wrong way 551 00:31:53,800 --> 00:31:57,160 Speaker 1: driver that plotted into twenty five law enforcement recruits. That's 552 00:31:57,200 --> 00:32:01,400 Speaker 1: a horrible story. Yeah. And then Burbank retired PD coming 553 00:32:01,400 --> 00:32:04,520 Speaker 1: on Darren Ryburn to talk about mouth Matthew Pavelka, I 554 00:32:04,560 --> 00:32:06,880 Speaker 1: remember that the cop they got shott in Burbank. Yes, 555 00:32:07,080 --> 00:32:09,320 Speaker 1: years and years and years ago. I think it's the 556 00:32:09,320 --> 00:32:12,200 Speaker 1: twentieth year and nineteenth years. It's a long time ago. Uh. 557 00:32:12,280 --> 00:32:15,200 Speaker 1: And then we also have smoking marijuana might be more 558 00:32:15,240 --> 00:32:19,600 Speaker 1: harmful to your lungs than smoking cigarettes, So quit smoking 559 00:32:19,680 --> 00:32:22,239 Speaker 1: marijuana and pick up cigarettes. Yeah. I guess you think 560 00:32:22,280 --> 00:32:24,760 Speaker 1: they're gonna ban marijuana the way they I don't know 561 00:32:25,240 --> 00:32:27,640 Speaker 1: smokers that want to get rid of vaping. So that's 562 00:32:27,640 --> 00:32:30,680 Speaker 1: how I read that story. You know, if marijuana is 563 00:32:30,680 --> 00:32:35,160 Speaker 1: worse for you than pick up cigarettes, it's it's a 564 00:32:35,160 --> 00:32:37,200 Speaker 1: better if it's better for you, you you know, you know, 565 00:32:37,280 --> 00:32:40,320 Speaker 1: you very rarely hear at doctors say you know what, buddy, 566 00:32:40,360 --> 00:32:42,280 Speaker 1: I gotta be honest with the year, not smoking enough, 567 00:32:45,240 --> 00:32:47,040 Speaker 1: you need to clear out your lug. Yeah. I really 568 00:32:47,040 --> 00:32:49,800 Speaker 1: don't think I've ever heard that from a doctor. You 569 00:32:49,880 --> 00:32:52,200 Speaker 1: just need a little smoke, just a little bit more, 570 00:32:52,240 --> 00:32:54,360 Speaker 1: a little more drinking, that's right. Yeah, But I mean, 571 00:32:54,720 --> 00:32:56,920 Speaker 1: how crazy is it today to pick up the habit 572 00:32:56,920 --> 00:32:58,800 Speaker 1: of smoking. I understand if you're you know, you're bored 573 00:32:58,840 --> 00:33:01,040 Speaker 1: into it in the sixties and seventies and you just 574 00:33:01,080 --> 00:33:02,920 Speaker 1: sort of, you know, you continue with it. But with 575 00:33:02,960 --> 00:33:05,560 Speaker 1: all the information out in twenty twenty three or twenty 576 00:33:05,600 --> 00:33:07,800 Speaker 1: twenty two, right, you start smoking, there's a lot of 577 00:33:07,840 --> 00:33:10,960 Speaker 1: people information resistant. That's right, that's right. You know you 578 00:33:11,040 --> 00:33:13,760 Speaker 1: smoke for long, that's exactly right. Yeah, and you you 579 00:33:13,960 --> 00:33:16,280 Speaker 1: take the hit, feel that's right, it feels great. You 580 00:33:16,280 --> 00:33:18,680 Speaker 1: get addicted to the nicotine and your life is over. 581 00:33:18,760 --> 00:33:22,880 Speaker 1: I've never had a bad cigarette in my life. Yeah, 582 00:33:22,960 --> 00:33:24,680 Speaker 1: I know, I don't smoke a cigarettes anymore, but what 583 00:33:24,840 --> 00:33:27,040 Speaker 1: was that pleasurable? I never had a bad cigarette in 584 00:33:27,040 --> 00:33:28,960 Speaker 1: my life. You know, they do for you. It just 585 00:33:29,000 --> 00:33:31,000 Speaker 1: gets you a little high for a little while. But 586 00:33:31,040 --> 00:33:33,000 Speaker 1: you know what what it does, it's a distraction. Like 587 00:33:33,040 --> 00:33:36,000 Speaker 1: you know that billboard that's on Santa Monica Boulevard and 588 00:33:36,040 --> 00:33:39,400 Speaker 1: it's constantly moving. It's a it's a smoking death. Yeah, 589 00:33:39,440 --> 00:33:41,760 Speaker 1: smoking death. Oh yeah, I seen four hundred thousand and 590 00:33:41,760 --> 00:33:44,200 Speaker 1: five hundred thousand whatever. There should be another billboard down 591 00:33:44,280 --> 00:33:46,640 Speaker 1: the street. How many guys went out and out and 592 00:33:46,680 --> 00:33:49,960 Speaker 1: had a cigarette instead of grabbing their wife or their girlfriend, 593 00:33:50,960 --> 00:33:53,080 Speaker 1: And that billboard would have to be put out by 594 00:33:53,080 --> 00:33:55,400 Speaker 1: the fire department every day because that thing would be 595 00:33:55,440 --> 00:33:59,880 Speaker 1: spitting out of control. Again, this is not his shows show, 596 00:34:00,040 --> 00:34:01,840 Speaker 1: and you can see what he's doing. A guy goes 597 00:34:01,880 --> 00:34:04,760 Speaker 1: outside and has a cigarette instead of grabbing her, that's right, 598 00:34:04,800 --> 00:34:07,520 Speaker 1: instead of killing her, that's right. Well, whatever I've saved, 599 00:34:07,600 --> 00:34:09,680 Speaker 1: that's right. Yeah. How many lives have been saved by 600 00:34:09,760 --> 00:34:12,040 Speaker 1: avoided by the guy that went to have a cigarette. Okay, 601 00:34:12,080 --> 00:34:17,600 Speaker 1: Well that's fascinating. Cremase triple, the lung cancer day triple. 602 00:34:18,560 --> 00:34:20,840 Speaker 1: This is what they talk about on Slack about you 603 00:34:20,600 --> 00:34:25,800 Speaker 1: and you spoke dog and uh and Jimmy Fallon still alive? 604 00:34:26,440 --> 00:34:30,239 Speaker 1: All right? Yeah, I heard about that inside joke. I 605 00:34:30,280 --> 00:34:33,640 Speaker 1: didn't you have those crazy Yeah. A lot of people 606 00:34:33,640 --> 00:34:36,600 Speaker 1: are reporting him dead yesterday Conway, who smokes a lot. 607 00:34:37,520 --> 00:34:43,000 Speaker 1: Don Michael Treasure is the News. Can't find two Los Angeles, 608 00:34:43,000 --> 00:34:45,120 Speaker 1: Orange County live everywhere on the iHeart RADI