1 00:00:00,200 --> 00:00:03,480 Speaker 1: Ah, yeah, tomorrow we'll bring back the moist line. But 2 00:00:03,680 --> 00:00:07,360 Speaker 1: Monday and the five o'clock hour the hour of candidates. 3 00:00:07,560 --> 00:00:10,320 Speaker 1: So if you are running for any office, you know 4 00:00:10,400 --> 00:00:12,639 Speaker 1: somebody that is, you tell them to call our toll 5 00:00:12,680 --> 00:00:16,759 Speaker 1: free number Monday at five pm and you get thirty seconds. 6 00:00:17,440 --> 00:00:20,040 Speaker 1: I've been told we're not going to take anybody running 7 00:00:20,040 --> 00:00:23,239 Speaker 1: for judge positions. Is that how we judge that? I 8 00:00:23,560 --> 00:00:26,160 Speaker 1: don't know. I didn't make any rules, No, I know, 9 00:00:27,160 --> 00:00:34,120 Speaker 1: or those things that are too tiny tiny well, city council, 10 00:00:34,159 --> 00:00:36,440 Speaker 1: you mean like a local town that's too low. I 11 00:00:36,479 --> 00:00:38,680 Speaker 1: don't know. We'll just make it up as we go. 12 00:00:38,920 --> 00:00:40,839 Speaker 1: We'll see what comes whatever we feel like. I mean, 13 00:00:40,840 --> 00:00:43,600 Speaker 1: we're not screening. Whoever is screening can decide. There's no 14 00:00:43,680 --> 00:00:48,040 Speaker 1: money being wagered, so worthy in one hour. Rick Caruso 15 00:00:48,200 --> 00:00:50,960 Speaker 1: will be our guests. He's running for something, I think 16 00:00:51,640 --> 00:00:55,200 Speaker 1: the mayor of LA to replace Garcetti. How do you 17 00:00:55,240 --> 00:00:58,320 Speaker 1: fill those shoes? That should be the first question. How 18 00:00:58,360 --> 00:01:01,760 Speaker 1: could you possibly step into that that legacy. I don't 19 00:01:01,760 --> 00:01:05,080 Speaker 1: know how you can't do better. I can't imagine doing worse. 20 00:01:05,720 --> 00:01:09,720 Speaker 1: You're a naysayer. It's been a wonderful nine years of 21 00:01:09,840 --> 00:01:13,560 Speaker 1: Garcetti it has. Can you think got the extra you 22 00:01:13,640 --> 00:01:16,120 Speaker 1: got the five year term? Can you name one thing 23 00:01:16,160 --> 00:01:21,760 Speaker 1: that's better in Los Angeles? That's a good question, and 24 00:01:21,760 --> 00:01:27,320 Speaker 1: I can't see anybody one thing that's better. Is there 25 00:01:27,360 --> 00:01:30,280 Speaker 1: a deli that opened that I like? Maybe? No, No, 26 00:01:30,360 --> 00:01:34,840 Speaker 1: deli's closed all over the place. Yeah, I still there. 27 00:01:35,400 --> 00:01:38,240 Speaker 1: I've got nowhere to eat driving to work anymore. Oh, 28 00:01:38,319 --> 00:01:41,399 Speaker 1: that's right. What about the deli where Robert Blake used 29 00:01:41,400 --> 00:01:45,959 Speaker 1: to hang out? Has that gone? Uh? Um? You used 30 00:01:45,959 --> 00:01:48,080 Speaker 1: to see Robert Blake? It's some sort of Yes, that's 31 00:01:48,120 --> 00:01:51,640 Speaker 1: still there. He's still alive, right, Robert, Yes he is. 32 00:01:51,720 --> 00:01:55,760 Speaker 1: I think he's round ninety. Okay, I should you mentioned 33 00:01:55,760 --> 00:01:57,400 Speaker 1: that on the air. One day Robert Blake goes there 34 00:01:57,400 --> 00:01:59,080 Speaker 1: and says, there, man, I so him standing on the 35 00:01:59,120 --> 00:02:03,280 Speaker 1: sidewalk smoking a cigarette a few years back, like he's 36 00:02:03,280 --> 00:02:08,120 Speaker 1: still alive, looking old and gray and grizzled. Look at 37 00:02:08,120 --> 00:02:13,200 Speaker 1: the press release, it is true. Next hour, Joe Biden 38 00:02:13,280 --> 00:02:15,120 Speaker 1: arrives in San Diego, and guess who's going to be 39 00:02:15,160 --> 00:02:19,160 Speaker 1: there to greet him, dipity do Gavin Newsom. The reason 40 00:02:19,200 --> 00:02:22,040 Speaker 1: I'm mentioning this is he was not there when Biden 41 00:02:22,280 --> 00:02:23,919 Speaker 1: came to California a couple of weeks ago. Remember he 42 00:02:23,960 --> 00:02:27,800 Speaker 1: campaigned for Karen Bass. Garcetti came greeted him when he 43 00:02:27,919 --> 00:02:31,120 Speaker 1: arrived at Lax. Yeah, because Carusa doesn't want to be 44 00:02:31,200 --> 00:02:33,560 Speaker 1: part of a Bass campaign. He's he's neutral in the 45 00:02:33,840 --> 00:02:37,959 Speaker 1: mayor's race. So I think that that was the reason 46 00:02:39,040 --> 00:02:43,119 Speaker 1: he did You were you listening to me? I don't 47 00:02:43,120 --> 00:02:46,360 Speaker 1: know what you just said. I said Newsome did not 48 00:02:46,560 --> 00:02:50,080 Speaker 1: show up, right, because Newsome is being is neutral in 49 00:02:50,120 --> 00:02:53,400 Speaker 1: the in the in the race or La may Well. 50 00:02:53,440 --> 00:02:55,120 Speaker 1: I was going to talk about that. Most people don't 51 00:02:55,120 --> 00:02:56,920 Speaker 1: know that. You just kind of skipped ahead. No, but 52 00:02:56,960 --> 00:03:00,280 Speaker 1: I think that's why he didn't show up. That was 53 00:03:00,320 --> 00:03:03,320 Speaker 1: as Bass was there. Looks kind of was a Karen 54 00:03:03,400 --> 00:03:07,520 Speaker 1: Bass event, all right. Well, there are other rumors that 55 00:03:07,520 --> 00:03:10,000 Speaker 1: that he's trying to nudge Biden out of the way 56 00:03:10,800 --> 00:03:14,440 Speaker 1: and feel like he should be the new big speaker 57 00:03:14,440 --> 00:03:17,360 Speaker 1: of the party because there's a vacuum. We just played 58 00:03:17,360 --> 00:03:19,600 Speaker 1: the audio yesterday. Knew some things. They're all too timid. 59 00:03:19,600 --> 00:03:21,799 Speaker 1: We gotta go on the offensive. And he thinks Biden's 60 00:03:22,040 --> 00:03:24,240 Speaker 1: part of the old Guard. He's a nice guy, but 61 00:03:24,280 --> 00:03:27,680 Speaker 1: he's part of the old guarded Yeah, but you're right. 62 00:03:27,680 --> 00:03:32,080 Speaker 1: There's a story in Politico that Newsome is not doing 63 00:03:32,080 --> 00:03:37,080 Speaker 1: anything about the mayor's race. Joe Biden, Kamala Harris, Hillary Clinton, 64 00:03:37,120 --> 00:03:41,240 Speaker 1: Bernie Sanders, and former President Barack Obama have all made 65 00:03:41,280 --> 00:03:46,000 Speaker 1: appearances and endorsed Karen Bass. Why not Newsome? And I 66 00:03:46,040 --> 00:03:48,960 Speaker 1: didn't know this. Apparently they know each other and Carusoe's 67 00:03:49,000 --> 00:03:53,320 Speaker 1: actually donated to newsome campaigns. Caruso knows everybody in politics, 68 00:03:53,400 --> 00:03:56,360 Speaker 1: and he's donated to everybody in politics because you have 69 00:03:56,480 --> 00:04:00,800 Speaker 1: to when you're a major developer. M bribe people. It's 70 00:04:00,880 --> 00:04:05,840 Speaker 1: just done that. Huh, your bribe people too. What do 71 00:04:05,880 --> 00:04:07,240 Speaker 1: you think has been going on with the La City 72 00:04:07,240 --> 00:04:12,560 Speaker 1: corruption cases? Called developers paying off Josey We's are and England? 73 00:04:12,880 --> 00:04:17,039 Speaker 1: I know I've actually Karen Bass made that insinuation and 74 00:04:17,160 --> 00:04:20,360 Speaker 1: Caruso called her on it. She did, yes, and Cruso said, 75 00:04:20,360 --> 00:04:22,200 Speaker 1: do you think I've done that? And she had to 76 00:04:22,240 --> 00:04:24,320 Speaker 1: back down and say no, no, wreck, I know you did. 77 00:04:24,400 --> 00:04:27,599 Speaker 1: You haven't done that? Yeah, right though, Yeah, but but 78 00:04:27,680 --> 00:04:29,919 Speaker 1: she she tried to She was coward about it. She 79 00:04:30,000 --> 00:04:32,720 Speaker 1: tried to backdoor it into the conversation and just make 80 00:04:32,760 --> 00:04:36,640 Speaker 1: an insinuation and by association, and she said, he said, 81 00:04:36,800 --> 00:04:39,560 Speaker 1: are you accusing me of that? And she backed off. 82 00:04:40,080 --> 00:04:43,240 Speaker 1: I enjoyed that moment. See, I hate that weasel stuff. 83 00:04:43,520 --> 00:04:46,440 Speaker 1: Do you accuse somebody say right to their face and 84 00:04:46,560 --> 00:04:50,200 Speaker 1: clear language. Yeah. He gave sixty grand to Newsom's twenty 85 00:04:50,279 --> 00:04:55,359 Speaker 1: eighteen gubnatorial campaign, donated half a million to California's COVID 86 00:04:55,440 --> 00:04:59,039 Speaker 1: nineteen response fund at the governor's behest. Oh, that's the 87 00:04:59,080 --> 00:05:01,200 Speaker 1: one where a lot of people that donated to that 88 00:05:01,320 --> 00:05:07,160 Speaker 1: got contracts from the state. We've talked about that story. Uh. Also, 89 00:05:07,680 --> 00:05:11,520 Speaker 1: Karen Bass in twenty eighteen endorsed Tony Valar for governor 90 00:05:11,600 --> 00:05:15,120 Speaker 1: over Newsom. How did that go there? You go, Well, 91 00:05:15,200 --> 00:05:19,080 Speaker 1: doesn't that tell you, though, from what political family she's from? 92 00:05:19,600 --> 00:05:23,280 Speaker 1: Who are her buddies? She's an LA guy, like she 93 00:05:23,440 --> 00:05:27,560 Speaker 1: is Vigo Sims to the Sacramento Northern California. Yeah right, 94 00:05:27,640 --> 00:05:29,279 Speaker 1: but he's a business guy, and so you've got to 95 00:05:29,279 --> 00:05:32,760 Speaker 1: donate to all the politicians. But her, she she's she's 96 00:05:32,760 --> 00:05:36,679 Speaker 1: connected with via Ragosa. He's a loser, connected with Bonnen, loser, 97 00:05:36,760 --> 00:05:41,080 Speaker 1: connected with Gascone, loser. Look look at the political belief 98 00:05:41,120 --> 00:05:43,839 Speaker 1: system of this, she's a loser one more time high 99 00:05:43,920 --> 00:05:47,240 Speaker 1: I know there there's there isn't a single person I 100 00:05:47,279 --> 00:05:49,599 Speaker 1: think who can make the case that she would clean 101 00:05:49,680 --> 00:05:54,120 Speaker 1: up LA more effectively than Crusoe. I can't imagine anyone 102 00:05:54,160 --> 00:05:56,560 Speaker 1: making that case. Yeah, there's no case to be made. No. 103 00:05:56,800 --> 00:05:59,200 Speaker 1: I like that Eddie's running where she's already admitted. We 104 00:05:59,240 --> 00:06:01,919 Speaker 1: can't get the home crisis solving four years and you 105 00:06:01,960 --> 00:06:05,360 Speaker 1: know what that reminds me of four years? That reminds 106 00:06:05,400 --> 00:06:10,040 Speaker 1: me of of of Garcetti. Garcetti had this defeatist attitude, 107 00:06:10,160 --> 00:06:12,160 Speaker 1: especially in the last couple of years. And then La 108 00:06:12,279 --> 00:06:16,840 Speaker 1: magazine article, Garcetti said something to the effect of it's like, well, 109 00:06:16,880 --> 00:06:19,440 Speaker 1: you know this is something beyond what a mayor could do, 110 00:06:19,800 --> 00:06:22,400 Speaker 1: and just blamed everybody else all over the levels of government. 111 00:06:22,760 --> 00:06:25,000 Speaker 1: Well you read that that that's that's the thinking of 112 00:06:25,000 --> 00:06:28,279 Speaker 1: a loser. And then and this new article today in 113 00:06:28,360 --> 00:06:32,480 Speaker 1: the It was in a sub stack article by Peter 114 00:06:33,520 --> 00:06:37,120 Speaker 1: Savadnik about the mayor's race and about all the Hollywood 115 00:06:37,120 --> 00:06:43,279 Speaker 1: support that Carriso has and um in this case, somebody 116 00:06:43,320 --> 00:06:49,000 Speaker 1: said Garcetti was afraid of pissing anybody off, and he 117 00:06:49,120 --> 00:06:53,760 Speaker 1: ended up pissing everybody off. And I was at gathering 118 00:06:53,839 --> 00:06:55,360 Speaker 1: the other night and I was talking to a guy 119 00:06:55,640 --> 00:06:57,320 Speaker 1: who I've talked to you before over the years. He's 120 00:06:57,360 --> 00:07:00,960 Speaker 1: one of these secret informants, and he knows Garsetti pretty well, 121 00:07:01,000 --> 00:07:03,720 Speaker 1: and he's had to do city business with Garsetti in 122 00:07:03,800 --> 00:07:06,960 Speaker 1: recent years. And he said he knows him well enough 123 00:07:07,000 --> 00:07:09,680 Speaker 1: to call him Eric. Because Eric's problem is he was 124 00:07:09,760 --> 00:07:13,360 Speaker 1: just the job was too much for him and he 125 00:07:13,680 --> 00:07:17,360 Speaker 1: got tired of it, wasn't interested anymore. Yeah, And so 126 00:07:17,400 --> 00:07:19,800 Speaker 1: that's and of course he's acted like that, especially the 127 00:07:19,880 --> 00:07:23,320 Speaker 1: last couple of years. It's like, oh, he checked out. Yeah, 128 00:07:23,320 --> 00:07:25,640 Speaker 1: he checked out. He goes he just doesn't care. In 129 00:07:25,760 --> 00:07:28,960 Speaker 1: for president that flopped, and he just gave up with everything. Yeah. 130 00:07:29,000 --> 00:07:31,000 Speaker 1: He wasn't a guy who got in the business try 131 00:07:31,040 --> 00:07:32,800 Speaker 1: to make life better for people. He's a guy who 132 00:07:32,840 --> 00:07:36,800 Speaker 1: got in the business in order to gain a certain 133 00:07:36,880 --> 00:07:39,360 Speaker 1: level of stature. Yeah, keep moving up in the business. 134 00:07:39,840 --> 00:07:46,080 Speaker 1: And so once his presidential race fizzled and there are 135 00:07:46,080 --> 00:07:49,560 Speaker 1: no openings for governor, there's no openings for senate, what's 136 00:07:49,600 --> 00:07:52,160 Speaker 1: he gonna do? Oh oh? And then the India, the 137 00:07:52,200 --> 00:07:56,000 Speaker 1: India ambassadorship fell apart, right so he you know, he's 138 00:07:56,000 --> 00:07:59,120 Speaker 1: probably in a huge depression because he was this coddled 139 00:07:59,160 --> 00:08:02,640 Speaker 1: little pretty boy who was destined for great things, you know, 140 00:08:02,720 --> 00:08:06,720 Speaker 1: all the elite education and all the overseas and a 141 00:08:06,840 --> 00:08:11,400 Speaker 1: powerful daddy who was DA of La County. Yeah right, 142 00:08:11,440 --> 00:08:14,040 Speaker 1: and so now you know he's I'm on the fast track. 143 00:08:14,080 --> 00:08:15,640 Speaker 1: He's still pretty young, you know, I think he's on 144 00:08:15,760 --> 00:08:19,640 Speaker 1: around fifty or fifty three, yeah, two, and so he's 145 00:08:19,800 --> 00:08:22,040 Speaker 1: really young, and his career is over, and he's going 146 00:08:22,040 --> 00:08:24,720 Speaker 1: out of laughing stock, going out a loser. I mean, Pete. 147 00:08:24,760 --> 00:08:26,480 Speaker 1: People will mean to say his name, they just spit. 148 00:08:26,560 --> 00:08:28,920 Speaker 1: You bring up Garcetti, they spit on the ground. Yeah, 149 00:08:31,480 --> 00:08:33,560 Speaker 1: all right, we will have Rick Caruso on the show 150 00:08:34,200 --> 00:08:37,679 Speaker 1: at five ZH five. Your chance for some money is next. 151 00:08:37,800 --> 00:08:40,839 Speaker 1: Listen for the keyword, John and Ken KF. I am 152 00:08:40,880 --> 00:08:45,680 Speaker 1: six forty live everywhere on the iHeartRadio app And what 153 00:08:45,720 --> 00:08:52,640 Speaker 1: was wow? Disgusting? She's got the news. It isn't that 154 00:08:52,720 --> 00:08:56,000 Speaker 1: typical of the world today, A world series no hitter, 155 00:08:56,080 --> 00:09:00,240 Speaker 1: But it was by how many different pictures together? Four sad? Yeah, 156 00:09:00,280 --> 00:09:04,160 Speaker 1: we all have to share. We would have been too 157 00:09:04,200 --> 00:09:09,280 Speaker 1: hard to pitch more than six innings. Oh really, yes, 158 00:09:09,679 --> 00:09:12,040 Speaker 1: then never see Bob Gibson used to pitch games in 159 00:09:12,080 --> 00:09:15,160 Speaker 1: one hour and forty eight minutes, started some many games 160 00:09:15,160 --> 00:09:18,560 Speaker 1: of the year, the old days. Right, well, he was 161 00:09:18,720 --> 00:09:22,839 Speaker 1: he was tired, he needed some rest. Oh last night starter? 162 00:09:23,160 --> 00:09:26,040 Speaker 1: Huh No, I some managers, you know, they're statistics. That's 163 00:09:26,040 --> 00:09:27,959 Speaker 1: the way they manage the game. Now, right, exactly right, 164 00:09:28,000 --> 00:09:30,200 Speaker 1: they got they got fifteen. I'm gonna figure out exactly 165 00:09:30,240 --> 00:09:32,320 Speaker 1: with an algorithm, which one of my relievers will work 166 00:09:32,360 --> 00:09:34,960 Speaker 1: best against the schedule hitter. And if they change hitter 167 00:09:35,000 --> 00:09:38,360 Speaker 1: is all just change pitchers and this will take another hour. Well, 168 00:09:38,400 --> 00:09:40,920 Speaker 1: what I really enjoyed last night? What a time did 169 00:09:40,960 --> 00:09:42,840 Speaker 1: I two in? I'm because this game cannot be under 170 00:09:42,880 --> 00:09:45,280 Speaker 1: three hours. Let's see it. It It was not no a 171 00:09:45,360 --> 00:09:47,760 Speaker 1: no hitter. That was not three hours and twenty five 172 00:09:47,760 --> 00:09:51,360 Speaker 1: minutes no hitter. And when there was a no hitter, yeah, 173 00:09:51,400 --> 00:09:54,280 Speaker 1: that would have been an hour twenty five But well, 174 00:09:54,280 --> 00:09:56,640 Speaker 1: you know what was funny is they they they I 175 00:09:56,640 --> 00:09:59,200 Speaker 1: heard the announswers talking about this on the drive home. 176 00:09:59,640 --> 00:10:03,600 Speaker 1: So the Hilly's pitcher loaded the bases. I think this 177 00:10:03,720 --> 00:10:06,120 Speaker 1: was fourth fifth inning. That's the only inning I watched. 178 00:10:06,120 --> 00:10:08,080 Speaker 1: I saw the run score for the asset, that's right. 179 00:10:08,400 --> 00:10:10,079 Speaker 1: But so what they did is funny. I came back 180 00:10:10,080 --> 00:10:12,079 Speaker 1: in our lives the same score. I've missed anything. They 181 00:10:12,120 --> 00:10:15,000 Speaker 1: brought in their best reliever in the fifth inning, right, 182 00:10:15,200 --> 00:10:18,120 Speaker 1: Their best reliever throws ninety nine miles an hour, and 183 00:10:18,160 --> 00:10:20,720 Speaker 1: he was a guy. He was going to face the third, fourth, 184 00:10:20,840 --> 00:10:24,520 Speaker 1: and fifth hitters, the toughest hitters in the astro's lineup, right, 185 00:10:24,520 --> 00:10:27,280 Speaker 1: And so that's that's what That's what the algorithm says. 186 00:10:27,480 --> 00:10:29,840 Speaker 1: Right now, you don't let the starting pitcher stay in. 187 00:10:30,480 --> 00:10:32,680 Speaker 1: You gotta get your best RELI best reliever comes in 188 00:10:32,679 --> 00:10:35,280 Speaker 1: and gives up five runs. I think he hit the 189 00:10:35,280 --> 00:10:37,360 Speaker 1: first guy hit. He hit the first batter, and then 190 00:10:37,400 --> 00:10:39,360 Speaker 1: a bunch of guy's gut heads and the game was over. 191 00:10:40,040 --> 00:10:44,200 Speaker 1: That's because human beings can't be predicted by algorithms. You 192 00:10:44,320 --> 00:10:47,319 Speaker 1: have a performance over time, that is what's in the computer. 193 00:10:47,440 --> 00:10:49,320 Speaker 1: But on that particular night, how do you know what 194 00:10:49,320 --> 00:10:51,360 Speaker 1: you're getting? You don't know. He might have been eight 195 00:10:51,360 --> 00:10:53,160 Speaker 1: about him in up to four in the morning with 196 00:10:53,520 --> 00:10:55,680 Speaker 1: you know, with an escort, could have had a bad 197 00:10:55,679 --> 00:10:58,319 Speaker 1: burrito for lunch. I mean, you don't know. The I 198 00:10:58,440 --> 00:11:02,760 Speaker 1: test is always right, I can't believe. Well, you know this, 199 00:11:02,880 --> 00:11:04,960 Speaker 1: The Dodgers do this every year. Oh my good. They 200 00:11:05,000 --> 00:11:08,160 Speaker 1: script it out. Yeah, they pull out pictures who are 201 00:11:08,280 --> 00:11:10,959 Speaker 1: blazing along and fourth or fifth inning, it's like, oh, 202 00:11:11,000 --> 00:11:13,679 Speaker 1: we've got to pull them out. Kershaw almost had two 203 00:11:13,679 --> 00:11:16,319 Speaker 1: perfect games this year and he got pulled from him. Yeah, 204 00:11:16,400 --> 00:11:18,240 Speaker 1: so day don't want to tire him out for the 205 00:11:18,320 --> 00:11:20,079 Speaker 1: end of the season. They need them for the playoffs. 206 00:11:20,240 --> 00:11:26,280 Speaker 1: And look at what happened. Document don't win championships. I 207 00:11:26,320 --> 00:11:30,800 Speaker 1: don't know, everything's overthought today. The husband of the House 208 00:11:30,800 --> 00:11:35,599 Speaker 1: Speaker Nancy Pelosi, Paul Pelosi, has been released from the hospital. 209 00:11:36,200 --> 00:11:40,000 Speaker 1: He is home recovering now. Along the lines of security. 210 00:11:40,040 --> 00:11:43,840 Speaker 1: Because John was talking about this yesterday, NBC News did 211 00:11:43,880 --> 00:11:47,120 Speaker 1: a story about well, and actually the title of it 212 00:11:47,200 --> 00:11:52,400 Speaker 1: is after home assault on Paul Pelosi. Lawmakers scramble to 213 00:11:52,559 --> 00:11:56,920 Speaker 1: reassess security. Attack on Paul. The strongest suggest that the 214 00:11:57,000 --> 00:12:01,640 Speaker 1: most visible spouses need some protection. But the guy wasn't 215 00:12:01,640 --> 00:12:04,160 Speaker 1: there to attack Paul Pelosi. He was waiting for Nancy. 216 00:12:04,559 --> 00:12:06,200 Speaker 1: And because the cops came and he was in a 217 00:12:06,240 --> 00:12:08,800 Speaker 1: suicide mission. I don't know. It's only he was holding 218 00:12:08,840 --> 00:12:10,960 Speaker 1: onto the hammer with Pelosi. He's just said, well, that's 219 00:12:10,960 --> 00:12:12,679 Speaker 1: something I could do here and it caused any damage 220 00:12:12,679 --> 00:12:14,520 Speaker 1: at all, is to pop him in the head. It's 221 00:12:14,520 --> 00:12:18,320 Speaker 1: really all it came down to. Yeah, yeah, it's it's 222 00:12:18,480 --> 00:12:21,880 Speaker 1: it's an unpredictable world. But you live in San Francisco 223 00:12:22,480 --> 00:12:26,200 Speaker 1: and you're a high profile person and you're worth one 224 00:12:26,280 --> 00:12:30,040 Speaker 1: hundred and twenty million dollars, that's on you to protect yourself. 225 00:12:30,800 --> 00:12:34,600 Speaker 1: It's not up to the Capitol police in Washington. I mean, seriously, 226 00:12:34,800 --> 00:12:37,679 Speaker 1: you think some slob working at what was it It It 227 00:12:37,720 --> 00:12:40,640 Speaker 1: would be five in the morning, right, just happened about 228 00:12:40,640 --> 00:12:42,959 Speaker 1: two in the morning in San Francisco. Somebody at five 229 00:12:43,000 --> 00:12:46,120 Speaker 1: in the morning, who's got eighteen hundred screens to monitor, 230 00:12:46,559 --> 00:12:48,880 Speaker 1: he's gonna zero in on the weird guy creep at 231 00:12:48,920 --> 00:12:51,800 Speaker 1: him behind. They need an algorithm that raises an alarm 232 00:12:51,800 --> 00:12:54,520 Speaker 1: when something unusual is happening at any of the monitors, right, 233 00:12:54,559 --> 00:12:56,679 Speaker 1: and it goes BEPPP. Yeah, look at this one. No, 234 00:12:56,800 --> 00:12:58,920 Speaker 1: you probably should. They should have had some maybe some 235 00:12:59,000 --> 00:13:04,360 Speaker 1: electronic security where he crossed an invisible line and bab 236 00:13:06,800 --> 00:13:09,920 Speaker 1: well it says here there was a system rolled out 237 00:13:10,880 --> 00:13:15,840 Speaker 1: by the House Sergeant at Arms office in August. Clearly 238 00:13:15,880 --> 00:13:20,640 Speaker 1: after the January sixth, twenty one thing at the Capitol, 239 00:13:21,200 --> 00:13:24,400 Speaker 1: they were doing everything they could. It covers up to 240 00:13:24,480 --> 00:13:26,960 Speaker 1: ten thousand dollars for each member to pay for the 241 00:13:27,000 --> 00:13:31,920 Speaker 1: installation of security system equipment at their residences, including camera's, locks, 242 00:13:31,960 --> 00:13:35,160 Speaker 1: motion sensors, and panic buttons. You can also get one 243 00:13:35,200 --> 00:13:38,680 Speaker 1: hundred and fifty bucks per month towards monitoring and maintenance fees. 244 00:13:40,000 --> 00:13:43,960 Speaker 1: So I guess they were relying just on the system 245 00:13:44,000 --> 00:13:46,400 Speaker 1: that was installed from the Capitol to watch over her house. 246 00:13:47,240 --> 00:13:49,920 Speaker 1: They didn't have anything well, I guess to back that 247 00:13:50,000 --> 00:13:53,520 Speaker 1: up at the Pelosi House, right, it didn't It didn't 248 00:13:53,520 --> 00:13:57,240 Speaker 1: stop a guy at the Pelosi House from busting in 249 00:13:57,280 --> 00:14:00,280 Speaker 1: with a hammer. Yeah. One House Democratic lawmaker said, I 250 00:14:00,320 --> 00:14:02,360 Speaker 1: haven't used the program, but my friends are encouraging me 251 00:14:02,400 --> 00:14:05,600 Speaker 1: to hire my own private detail. And you know, you 252 00:14:05,640 --> 00:14:07,680 Speaker 1: have to assess your own threat level. You're right, I 253 00:14:07,679 --> 00:14:12,319 Speaker 1: mean they're talking about Pelosi obviously gets more threats than 254 00:14:12,360 --> 00:14:16,240 Speaker 1: your average. But but she has to be or her 255 00:14:16,360 --> 00:14:19,400 Speaker 1: husband has to be fearful enough to spend the money 256 00:14:19,680 --> 00:14:22,560 Speaker 1: to either take take up the government off or whatever 257 00:14:22,600 --> 00:14:26,320 Speaker 1: it is, or take care of it themselves, which obviously 258 00:14:26,400 --> 00:14:29,640 Speaker 1: they could. So you know, I don't know what to say. 259 00:14:29,720 --> 00:14:32,120 Speaker 1: I mean people, you know, because plenty of people who 260 00:14:32,240 --> 00:14:34,360 Speaker 1: get a lot of threats and it's like, ah, just 261 00:14:34,480 --> 00:14:37,520 Speaker 1: you know, crazy guys in their underwearing mom's basement. And 262 00:14:37,560 --> 00:14:39,880 Speaker 1: there are other people who completely freak out if somebody 263 00:14:39,880 --> 00:14:42,000 Speaker 1: looks at him the wrong way on the street. Yeah, 264 00:14:42,200 --> 00:14:45,120 Speaker 1: you know, everybody's got a different level of tolerance for 265 00:14:45,160 --> 00:14:49,080 Speaker 1: fear and paranoia. When we come back, we'll talk for 266 00:14:49,120 --> 00:14:52,440 Speaker 1: a couple of minutes about the suspect in the beating 267 00:14:52,440 --> 00:14:55,720 Speaker 1: of Paul Pelosi. Yes he is indeed an I legal alien. 268 00:14:55,800 --> 00:14:57,680 Speaker 1: We have a little more information as to how all 269 00:14:57,720 --> 00:15:01,440 Speaker 1: that happened, and all also talk about a survey out 270 00:15:01,440 --> 00:15:04,240 Speaker 1: of you see Davis about just how ugly you can 271 00:15:04,240 --> 00:15:06,600 Speaker 1: get in this country over politics, John and Ken kf 272 00:15:06,720 --> 00:15:09,240 Speaker 1: I am six forty live everywhere on the iHeartRadio app. 273 00:15:09,440 --> 00:15:11,320 Speaker 1: If your bath is worn out but you're not sure 274 00:15:11,320 --> 00:15:13,960 Speaker 1: who to trust to replace it, trust Bathfitter. We've been 275 00:15:13,960 --> 00:15:16,760 Speaker 1: customed crafting baths for over thirty five years that are 276 00:15:16,800 --> 00:15:20,120 Speaker 1: so durable. We offer a lifetime warranty. It just fits. 277 00:15:20,320 --> 00:15:24,560 Speaker 1: Visit bathfitter dot com to book your free consultation in 278 00:15:24,600 --> 00:15:27,760 Speaker 1: thirty minutes. Guess what, John, We've got Rick Caruso coming in. 279 00:15:28,080 --> 00:15:32,880 Speaker 1: Your friend. It's right, you've known kind of for years, right, oh, 280 00:15:32,880 --> 00:15:36,160 Speaker 1: probably about twenty years. Yeah, No, all right, he's not 281 00:15:36,720 --> 00:15:41,160 Speaker 1: interested in you in a development, interested in what making 282 00:15:41,200 --> 00:15:44,920 Speaker 1: you invest into some property. No, he doesn't need my help. 283 00:15:46,560 --> 00:15:49,320 Speaker 1: He is, of course running from mayor. I could probably 284 00:15:49,760 --> 00:15:51,560 Speaker 1: just did a story on his father today. Did you 285 00:15:51,560 --> 00:15:54,280 Speaker 1: see that. Yeah, like a front page story on his father, 286 00:15:54,320 --> 00:15:57,520 Speaker 1: who apparently had to serve some prison time. Yeah. It 287 00:15:57,680 --> 00:16:00,200 Speaker 1: was like a card dealer, was it. Yeah, yeah, like 288 00:16:00,280 --> 00:16:04,680 Speaker 1: sixty years ago. Yeah, ye had a little legal issue 289 00:16:04,760 --> 00:16:07,280 Speaker 1: over the cars he was selling in the prices. All right, 290 00:16:07,320 --> 00:16:10,000 Speaker 1: so we'll talk one last time to Rick Caruso. I 291 00:16:10,000 --> 00:16:12,960 Speaker 1: had a Tuesday's vote. We have a voter guide on 292 00:16:13,000 --> 00:16:16,080 Speaker 1: the website, don't. I don't think you're gonna expect much 293 00:16:16,440 --> 00:16:18,840 Speaker 1: Tuesday night with all the mail ends. Now, I don't 294 00:16:18,840 --> 00:16:21,840 Speaker 1: think there's really much to say the night of an election. 295 00:16:22,080 --> 00:16:26,120 Speaker 1: I really don't understand, especially in California, unless things are runaways, 296 00:16:26,200 --> 00:16:28,360 Speaker 1: some races will be I'm sure Newsom will be declared 297 00:16:28,440 --> 00:16:32,120 Speaker 1: governor and one and the ballot harvesters will be toiling 298 00:16:32,120 --> 00:16:38,280 Speaker 1: in the fields. So but for anything close race could be, 299 00:16:38,400 --> 00:16:41,160 Speaker 1: it could take days or weeks growing new phony ballots. 300 00:16:42,800 --> 00:16:44,800 Speaker 1: I drove, I drove down the freeway. I saw a 301 00:16:44,880 --> 00:16:47,440 Speaker 1: field of phony ballots being tended to by the harvesters. 302 00:16:47,960 --> 00:16:50,280 Speaker 1: Is that right, that's right? Yeah, they grow them down 303 00:16:50,280 --> 00:16:53,680 Speaker 1: in public. They're like those illegal arianna farms. They're almost 304 00:16:53,680 --> 00:16:56,120 Speaker 1: ready to be picked, almost ready to be picked. They 305 00:16:56,160 --> 00:17:00,480 Speaker 1: should ripe and yeah, I guess by Tuesday morning, that right, 306 00:17:00,520 --> 00:17:02,760 Speaker 1: and then they'll be picked and rushed over to the end, 307 00:17:03,040 --> 00:17:05,240 Speaker 1: like the way the word harvest got taken for ballots 308 00:17:05,240 --> 00:17:08,920 Speaker 1: and organs to organ harvest, organ harvest, ballot harvests. Yeah. Yeah, 309 00:17:08,920 --> 00:17:10,760 Speaker 1: they're growing organs on the side of the freeway too. 310 00:17:11,720 --> 00:17:13,480 Speaker 1: Oh could you give me a kidney? I might need one. 311 00:17:13,600 --> 00:17:22,680 Speaker 1: Kidney farms, liver farms. Um David the man charged with 312 00:17:23,280 --> 00:17:27,239 Speaker 1: hammering Paul Pelosi. Boy, somebody sent a bad joke to us. 313 00:17:27,280 --> 00:17:29,439 Speaker 1: That's the second time this year that Pelosi has been hammered. 314 00:17:29,520 --> 00:17:33,200 Speaker 1: That is just not nice. What what was the first time? 315 00:17:33,760 --> 00:17:37,439 Speaker 1: The drunk driving again? Oh oh oh, Paul Pelosi, I 316 00:17:37,480 --> 00:17:40,919 Speaker 1: got it, yeah, yeah, Paul Pelosi. Yeah, I don't know 317 00:17:41,000 --> 00:17:45,360 Speaker 1: it's his his. The attack on Pelosi is not has 318 00:17:45,440 --> 00:17:49,560 Speaker 1: not gotten sympathy in all quarters I've noticed. Well, because 319 00:17:49,600 --> 00:17:52,000 Speaker 1: it's political people that hate Nancy Pelosi, you're not going 320 00:17:52,040 --> 00:17:54,760 Speaker 1: to show any sympathy. It's anything that happens to her 321 00:17:54,840 --> 00:17:56,880 Speaker 1: or her family. But it's a hammer to the skull. 322 00:17:56,960 --> 00:17:59,199 Speaker 1: I mean, I could you know? It's like even you 323 00:17:59,320 --> 00:18:02,320 Speaker 1: feel a tin I could, I could feel that pain. 324 00:18:02,520 --> 00:18:06,040 Speaker 1: Can you imagine imagine a hammer to the skull. You're 325 00:18:06,080 --> 00:18:09,840 Speaker 1: eighty two, could be very saw and you're waving a bike, 326 00:18:09,960 --> 00:18:12,800 Speaker 1: but the force of a crazy guy too. I wonder 327 00:18:12,800 --> 00:18:14,040 Speaker 1: if I don't even know if it was one hit 328 00:18:14,119 --> 00:18:16,879 Speaker 1: or two or three, or we don't know. Huh. I 329 00:18:16,920 --> 00:18:19,600 Speaker 1: think it sounded like one, But all the information is 330 00:18:19,640 --> 00:18:22,840 Speaker 1: so bad since it was like one and he started 331 00:18:22,880 --> 00:18:26,320 Speaker 1: bleeding and dropped unconscious to the floor right away. Yeah, 332 00:18:26,560 --> 00:18:30,440 Speaker 1: I think that's all you'd need. So, records pulled by 333 00:18:30,480 --> 00:18:34,679 Speaker 1: Immigration and Customs Enforcement found that this guy entered the 334 00:18:34,760 --> 00:18:37,719 Speaker 1: US as a temporary visitor in March of two thousand 335 00:18:37,760 --> 00:18:42,240 Speaker 1: and eight at the Sandia Cedro Port of Entry. Huh, 336 00:18:42,280 --> 00:18:44,120 Speaker 1: but he came from Canada. What was he doing down 337 00:18:44,160 --> 00:18:48,120 Speaker 1: there in San Diego? I don't know. I came through 338 00:18:48,160 --> 00:18:51,840 Speaker 1: Mexico too, but he did get a visa. However, you 339 00:18:51,960 --> 00:18:55,520 Speaker 1: generally only can stay for six months. Um how many 340 00:18:55,600 --> 00:18:57,640 Speaker 1: years ago? It was two thousand and eight. Yeah, so 341 00:18:57,760 --> 00:19:02,600 Speaker 1: he overstated his visa by fourteen years. Yes, so officially 342 00:19:03,040 --> 00:19:08,719 Speaker 1: system I put an immigration detainer on him. So allegedly, 343 00:19:08,800 --> 00:19:11,280 Speaker 1: after he is convicted and serves his time, he can 344 00:19:11,359 --> 00:19:13,960 Speaker 1: be deported. But aren't we a sanctuary state? Are we 345 00:19:13,960 --> 00:19:16,080 Speaker 1: going to provot because at this time it does seem 346 00:19:16,080 --> 00:19:21,200 Speaker 1: to violate the sanctuary city state the sanctuary state laws. 347 00:19:21,240 --> 00:19:25,240 Speaker 1: Although he is facing federal charges, so maybe the Feds 348 00:19:25,240 --> 00:19:27,760 Speaker 1: have taken over that time. That's true. I don't know 349 00:19:27,800 --> 00:19:29,520 Speaker 1: which case would come up first and how this is 350 00:19:29,520 --> 00:19:31,359 Speaker 1: going to work. You right, he's facing federal and state 351 00:19:31,440 --> 00:19:34,600 Speaker 1: charges and yeah, and you know he gets deported after 352 00:19:34,640 --> 00:19:38,479 Speaker 1: he finishes his prison sentence, which might not be for 353 00:19:38,520 --> 00:19:42,440 Speaker 1: a while. Now. A columnist today for the El Segundo 354 00:19:42,600 --> 00:19:44,800 Speaker 1: Times that we've enjoyed for all one hundred and fifty 355 00:19:44,880 --> 00:19:50,600 Speaker 1: years he's been writing. George Skelton, their Capital journal columnist. Nope, seriously, 356 00:19:50,640 --> 00:19:52,360 Speaker 1: I think he started writing in the fifties for them, 357 00:19:52,359 --> 00:19:55,080 Speaker 1: Am I right, he's eight at least eighty four. I 358 00:19:55,119 --> 00:19:57,200 Speaker 1: went looking not too long ago, try to figure out 359 00:19:57,240 --> 00:20:01,399 Speaker 1: his age. I did that. Yeah, he wrote about a 360 00:20:01,480 --> 00:20:05,200 Speaker 1: UC Davis study and the first sentence of his column 361 00:20:05,240 --> 00:20:09,440 Speaker 1: today is eye opening. Roughly five million Americans would be 362 00:20:09,480 --> 00:20:14,040 Speaker 1: willing to kill someone to achieve a political purpose. Well, 363 00:20:14,280 --> 00:20:17,880 Speaker 1: we talked about these polls before. I don't know why 364 00:20:17,880 --> 00:20:20,880 Speaker 1: this one, I guess is just UC Davis's latest, but 365 00:20:21,359 --> 00:20:26,960 Speaker 1: it was described as eye popping, eye popping, eye popping. Yeah, 366 00:20:27,000 --> 00:20:29,440 Speaker 1: so they were roughly two hundred and fifty eight million 367 00:20:29,480 --> 00:20:33,560 Speaker 1: adult Americans. That means roughly five million people are willing 368 00:20:33,600 --> 00:20:39,040 Speaker 1: to settle a political dispute by killing their opponents. It 369 00:20:39,160 --> 00:20:42,360 Speaker 1: was nineteen percent who agreed strongly that violence or forces 370 00:20:42,440 --> 00:20:46,520 Speaker 1: needed to protect democracy when elected leaders will not. So 371 00:20:46,840 --> 00:20:49,960 Speaker 1: it's a broad statement to interpret it immediately as they're 372 00:20:49,960 --> 00:20:52,560 Speaker 1: willing to kill their opponents. Well, I think two percent 373 00:20:52,600 --> 00:20:56,800 Speaker 1: we're willing to do it themselves. Oh okay, nineteen percent 374 00:20:57,400 --> 00:21:00,560 Speaker 1: like the concept. Two percent are saying you need me, 375 00:21:02,200 --> 00:21:07,520 Speaker 1: I got the hammer, I get black, and we're not 376 00:21:07,600 --> 00:21:12,800 Speaker 1: looking at hammer control. Then oh we should look. There's 377 00:21:12,840 --> 00:21:15,119 Speaker 1: a lot of hammers out there. Yeah, every household has 378 00:21:15,160 --> 00:21:17,679 Speaker 1: several hammers. Yeah, I'm sure, I know we ought to 379 00:21:17,680 --> 00:21:20,320 Speaker 1: be looking into that, But no, that they I believe 380 00:21:20,359 --> 00:21:23,560 Speaker 1: that believe probably two percent two percent. Yeah, I misread that. 381 00:21:23,680 --> 00:21:25,800 Speaker 1: So I thought the nineteen percent was supposed. Oh you're right. 382 00:21:25,920 --> 00:21:28,320 Speaker 1: Roughly two percent of those surveys said they would very 383 00:21:28,400 --> 00:21:31,040 Speaker 1: or completely be willing to kill someone to advance an 384 00:21:31,040 --> 00:21:34,040 Speaker 1: important political objective. And then other No, there's two percent 385 00:21:34,080 --> 00:21:37,760 Speaker 1: of anything, right, It's probably always been that way. What 386 00:21:37,840 --> 00:21:40,840 Speaker 1: wacky question you ask? There's always a two percent that'll 387 00:21:40,840 --> 00:21:43,040 Speaker 1: give the crazy Well, you see, there's no content. Nineteen 388 00:21:43,080 --> 00:21:45,239 Speaker 1: percent scared me a little bit more. But yeah, you're right, 389 00:21:45,240 --> 00:21:47,560 Speaker 1: that was a Those are the guys who will cheer 390 00:21:47,640 --> 00:21:51,680 Speaker 1: from their trailers. Oh I see. So now is the 391 00:21:51,760 --> 00:21:54,720 Speaker 1: two percent different than life thirty years ago or sixty 392 00:21:54,800 --> 00:21:58,240 Speaker 1: years ago? See, there's no context here. Probably not because 393 00:21:58,240 --> 00:22:00,840 Speaker 1: I it. I mean, I remember sense really almost within 394 00:22:00,880 --> 00:22:03,240 Speaker 1: the margin of era too. I realized that two percent 395 00:22:03,320 --> 00:22:04,720 Speaker 1: is a real number. Of two percent of all the 396 00:22:04,760 --> 00:22:07,160 Speaker 1: people surveyed said they'd be reilly to kill someone. Well, 397 00:22:07,200 --> 00:22:09,159 Speaker 1: that's real. But I mean because I remember back in 398 00:22:09,160 --> 00:22:12,800 Speaker 1: the nineties, remember the militia movement, which which is a 399 00:22:12,840 --> 00:22:17,000 Speaker 1: similar philosophy it is, and I'm sure there was two 400 00:22:17,000 --> 00:22:21,600 Speaker 1: percent back then. Yeah, and that did produce a few 401 00:22:22,000 --> 00:22:25,280 Speaker 1: lone wolf types like Timothy McVeigh and he blew up 402 00:22:25,280 --> 00:22:29,680 Speaker 1: the Oklahoma City bombing at Oklahoma City Federal building. This 403 00:22:29,800 --> 00:22:31,800 Speaker 1: is not hard to understand when you put it in 404 00:22:31,840 --> 00:22:34,560 Speaker 1: the perspective of how this country is where it is today. 405 00:22:34,960 --> 00:22:40,160 Speaker 1: It took violence to get her independence from the British. 406 00:22:40,240 --> 00:22:43,000 Speaker 1: So human nature that's kind of ingrained in our DNA, 407 00:22:43,160 --> 00:22:46,600 Speaker 1: exactly the nature that you know sometimes you have to rebel. 408 00:22:47,320 --> 00:22:49,720 Speaker 1: It seems to be a lot of a lot of 409 00:22:49,720 --> 00:22:52,040 Speaker 1: the journalists, all the goody good journalists, you know, they're 410 00:22:52,119 --> 00:22:56,080 Speaker 1: very progressive. They think somehow by now that there should 411 00:22:56,080 --> 00:22:58,560 Speaker 1: have been some sort of human engineering to get the 412 00:22:58,640 --> 00:23:02,240 Speaker 1: violence out of us. And that's impossible, that'll that'll never 413 00:23:02,280 --> 00:23:07,679 Speaker 1: go away. Uh. In fact, the best way to limit 414 00:23:07,720 --> 00:23:12,760 Speaker 1: the violence is to have severe consequences. But this crowd 415 00:23:13,000 --> 00:23:17,080 Speaker 1: throughout that option, and they're gonna be shocked in amaze 416 00:23:17,200 --> 00:23:20,520 Speaker 1: that they're gonna get more They're gonna get more violence, 417 00:23:21,359 --> 00:23:24,560 Speaker 1: because you know, what's the I see this guy at 418 00:23:24,640 --> 00:23:27,879 Speaker 1: least DEPAPPI, he's going to be thrown in prison for 419 00:23:27,920 --> 00:23:33,400 Speaker 1: a long time right gets arrested immediately. There's no federal case. 420 00:23:33,400 --> 00:23:37,000 Speaker 1: He's state case. I'm not so confident, right, but at 421 00:23:37,040 --> 00:23:38,920 Speaker 1: least you know it's in San Francisco. But they got 422 00:23:38,920 --> 00:23:40,400 Speaker 1: a new DA there, so she might be a little 423 00:23:40,440 --> 00:23:44,000 Speaker 1: tougher and it's a state prosecution even though she's filed 424 00:23:44,000 --> 00:23:46,800 Speaker 1: the charge. The thing is, if there weren't swift, severe 425 00:23:46,800 --> 00:23:49,879 Speaker 1: consequences for a guy like de Pappi, then yeah, there 426 00:23:49,880 --> 00:23:53,679 Speaker 1: would be more attacks on more politicians and you'd probably 427 00:23:53,720 --> 00:23:56,840 Speaker 1: have some deaths. So this is an important case. This 428 00:23:56,880 --> 00:24:01,680 Speaker 1: guy should be very quickly and severely punished. I mean 429 00:24:01,680 --> 00:24:04,600 Speaker 1: he should be treated like a murderer because just because 430 00:24:04,600 --> 00:24:08,440 Speaker 1: he didn't quite hit Pelosi's skull hard enough, it came 431 00:24:08,560 --> 00:24:10,399 Speaker 1: really close to a murder. I think he should be 432 00:24:10,440 --> 00:24:13,160 Speaker 1: treated as if he was a killer, you gotta get 433 00:24:13,200 --> 00:24:16,040 Speaker 1: life in prison. And Skelton likes to point out too 434 00:24:16,080 --> 00:24:20,240 Speaker 1: that of the magarepublicans surveyed that's make America great again, 435 00:24:20,400 --> 00:24:23,000 Speaker 1: twenty seven percent strongly agree that the government, media, and 436 00:24:23,000 --> 00:24:24,960 Speaker 1: financial worlds in the US are controlled by a group 437 00:24:24,960 --> 00:24:28,560 Speaker 1: of Satan worship Satan worshiping pedophiles who run a global 438 00:24:28,680 --> 00:24:35,560 Speaker 1: child sex trafficking operation of the Magarepublicans survey. Yes, that's 439 00:24:35,600 --> 00:24:38,440 Speaker 1: different from other Republicans. I guess No, I think it is. Yeah, 440 00:24:38,640 --> 00:24:41,600 Speaker 1: I think they identify differently within the party. I guess 441 00:24:41,600 --> 00:24:47,040 Speaker 1: these would be Trump people or yes, twenty seven percent 442 00:24:47,080 --> 00:24:51,800 Speaker 1: actually believe in that Quan thing, that subgroup. Yes, I 443 00:24:52,080 --> 00:24:56,919 Speaker 1: was thinking today if I have a minute. No, it 444 00:24:57,000 --> 00:24:59,760 Speaker 1: wasn't quite shower thinking. But I saw a headline and 445 00:24:59,800 --> 00:25:02,040 Speaker 1: I saved this story. I haven't read it yet though, 446 00:25:02,359 --> 00:25:05,760 Speaker 1: I just haven't had the time, but there is there 447 00:25:05,800 --> 00:25:08,000 Speaker 1: was a story about how yeah, here it is, how 448 00:25:08,000 --> 00:25:13,960 Speaker 1: the QAnon belief system because it's organized like a religion, 449 00:25:14,720 --> 00:25:18,119 Speaker 1: and it seems to have roots in New Age spirituality. 450 00:25:18,440 --> 00:25:22,480 Speaker 1: That's just a headline, unexpected roots in New age spirituality 451 00:25:23,040 --> 00:25:26,480 Speaker 1: for QAnon. And I'm thinking, well, new Age spirituality came 452 00:25:26,560 --> 00:25:29,960 Speaker 1: out of people who were rejecting traditional religions, right. The 453 00:25:30,040 --> 00:25:33,119 Speaker 1: traditional religions were around for a few thousand years, but 454 00:25:33,160 --> 00:25:36,120 Speaker 1: they seem to be fading in America, not as influential, 455 00:25:36,200 --> 00:25:39,320 Speaker 1: right hey, you know, and then people live for thousands 456 00:25:39,359 --> 00:25:44,280 Speaker 1: of years even before Christianity and Judaism, all right, so 457 00:25:44,480 --> 00:25:46,720 Speaker 1: they'd had its day for a couple of thousand years 458 00:25:46,760 --> 00:25:50,280 Speaker 1: here in America. Now it's gone. What's it getting replaced by, Well, 459 00:25:50,320 --> 00:25:54,800 Speaker 1: it's got replaced to some extent by New Age spirituality. This, 460 00:25:54,800 --> 00:25:59,640 Speaker 1: this global warming obsession is a form of earth worship, right, 461 00:26:00,560 --> 00:26:05,080 Speaker 1: Like in ancient times, civilizations used to try to appease 462 00:26:05,119 --> 00:26:07,880 Speaker 1: the sun god and the moon god and the nature god. Right, 463 00:26:08,400 --> 00:26:10,879 Speaker 1: and then eventually they were going to pour that energy 464 00:26:10,880 --> 00:26:14,159 Speaker 1: into political movements, and so they have QAnon, and Quanon 465 00:26:14,240 --> 00:26:19,560 Speaker 1: apparently has some overlapping similarities to New Age spirituality. I 466 00:26:19,560 --> 00:26:21,840 Speaker 1: haven't read the article to see exactly what the details are, 467 00:26:21,920 --> 00:26:24,600 Speaker 1: but it seems like the human being has to get 468 00:26:24,640 --> 00:26:27,879 Speaker 1: involved in some kind of organized worship, some kind of 469 00:26:27,960 --> 00:26:31,080 Speaker 1: organized belief, and we were just all trained. It's like, oh, well, 470 00:26:31,119 --> 00:26:34,639 Speaker 1: you're you're either Protestant or Catholic or Jewish or Muslim 471 00:26:34,680 --> 00:26:36,640 Speaker 1: or whatever. But it doesn't have to stay that way. 472 00:26:36,680 --> 00:26:39,800 Speaker 1: You could take that same need to be part of 473 00:26:39,840 --> 00:26:43,000 Speaker 1: something great or something to worship and then channel it 474 00:26:43,000 --> 00:26:46,240 Speaker 1: into all kinds of stuff. Some people do it with celebrities, right, 475 00:26:46,280 --> 00:26:49,159 Speaker 1: Some people do it with politicians and political movements, and 476 00:26:49,240 --> 00:26:52,160 Speaker 1: some people do it, you know, with things like QAnon 477 00:26:52,640 --> 00:26:55,600 Speaker 1: or global warming worship, and I think it goes back 478 00:26:55,640 --> 00:26:58,000 Speaker 1: to the need that people have to sort of organize 479 00:26:58,040 --> 00:27:02,159 Speaker 1: the world, simplify the world, and generalize that they have 480 00:27:02,280 --> 00:27:05,160 Speaker 1: something that they can make sense out of. Yeah. Yeah, 481 00:27:05,200 --> 00:27:09,240 Speaker 1: and so that's that's how they organize their their existence 482 00:27:09,320 --> 00:27:12,760 Speaker 1: based on these tenants that they believe. All Right, we 483 00:27:12,840 --> 00:27:14,680 Speaker 1: got more coming up. John and Ken kf I AM 484 00:27:14,760 --> 00:27:17,520 Speaker 1: six forty Live Everywhere or the iHeartRadio app. One last 485 00:27:17,560 --> 00:27:19,640 Speaker 1: time before you vote, don't forget there's a voter guide 486 00:27:19,640 --> 00:27:21,600 Speaker 1: that we put up on the website. It seemed like 487 00:27:21,640 --> 00:27:24,600 Speaker 1: ages ago. Check it out at kf I AM sixty 488 00:27:25,040 --> 00:27:29,399 Speaker 1: dot com, the John and Ken page. This week, the 489 00:27:29,480 --> 00:27:33,520 Speaker 1: United States Supreme Court heard a couple of cases concerning 490 00:27:33,560 --> 00:27:38,439 Speaker 1: affirmative action when it comes to racial preferences in college admissions. 491 00:27:38,480 --> 00:27:41,520 Speaker 1: These are cases out of Harvard and the University of 492 00:27:41,520 --> 00:27:44,639 Speaker 1: North Carolina. The Harvard case was brought by like an 493 00:27:44,680 --> 00:27:48,639 Speaker 1: Asian student group who felt that Asians were getting the 494 00:27:48,640 --> 00:27:51,879 Speaker 1: short shrift in Harvard admissions because of the need to 495 00:27:52,480 --> 00:27:58,040 Speaker 1: diversify the student body. You GOV asked people in a 496 00:27:58,160 --> 00:28:03,800 Speaker 1: poll do you think colleges and universities should ever consider 497 00:28:03,840 --> 00:28:08,560 Speaker 1: an applicants race along with other factors, fifty four percent 498 00:28:08,800 --> 00:28:13,320 Speaker 1: a solid no. Only twenty three percent said yes. There 499 00:28:13,400 --> 00:28:15,800 Speaker 1: was a small element of an equal element to twenty 500 00:28:15,800 --> 00:28:19,800 Speaker 1: three percent not sure of the answer. They've never heard 501 00:28:19,840 --> 00:28:23,440 Speaker 1: of affirmative action. They don't know what it means. No, 502 00:28:23,520 --> 00:28:26,359 Speaker 1: But the question was clear. It didn't ask about affirmative action. 503 00:28:26,400 --> 00:28:29,400 Speaker 1: It said should colleges and universities ever consider an applicants 504 00:28:29,480 --> 00:28:32,000 Speaker 1: race along with other factors? That was the question that 505 00:28:32,040 --> 00:28:36,440 Speaker 1: was posed. So that's a simple question, and twenty three 506 00:28:36,480 --> 00:28:38,960 Speaker 1: percent still aren't sure. I don't know why they're not sure, 507 00:28:39,040 --> 00:28:43,280 Speaker 1: but there's always people on the fence. Well, yeah, people 508 00:28:43,320 --> 00:28:48,760 Speaker 1: have just never thought about it. Further, even among Democrats, 509 00:28:48,760 --> 00:28:51,440 Speaker 1: it was only forty to thirty four with a yes 510 00:28:51,760 --> 00:28:55,880 Speaker 1: for that question. That's close. Well, overwhelmingly Independence and obviously 511 00:28:55,920 --> 00:28:59,960 Speaker 1: Republicans are against considering it. Yeah. Well, I don't think 512 00:29:00,080 --> 00:29:04,160 Speaker 1: any parent feels really great about it, because if you 513 00:29:04,360 --> 00:29:07,880 Speaker 1: if you know that that's going on, it means your 514 00:29:07,960 --> 00:29:11,640 Speaker 1: kid's got to be disadvantage in some way. There's if 515 00:29:11,680 --> 00:29:15,920 Speaker 1: your kid is not considered a preferred race that they 516 00:29:15,960 --> 00:29:18,520 Speaker 1: want to admission. But there's there's a hierarchy to that too. 517 00:29:18,600 --> 00:29:20,760 Speaker 1: Is we found out That's the whole crux of the 518 00:29:20,920 --> 00:29:26,240 Speaker 1: Harvard lawsuit is that Asians, they're standardized test scores have 519 00:29:26,360 --> 00:29:30,719 Speaker 1: to be far higher than a black students test scores 520 00:29:31,280 --> 00:29:34,200 Speaker 1: and that's why the Asians, the Asian groups are selling 521 00:29:34,400 --> 00:29:37,480 Speaker 1: over that. I guess the cliche still holds. You should 522 00:29:37,480 --> 00:29:41,480 Speaker 1: not fight what you think is discrimination with more discrimination. 523 00:29:41,760 --> 00:29:43,720 Speaker 1: That's what people have been saying. Just go by the 524 00:29:43,760 --> 00:29:46,760 Speaker 1: merit and we see the test scores all the time. Yes, 525 00:29:46,800 --> 00:29:49,479 Speaker 1: there are gaps between the racial groups, but the answer 526 00:29:49,560 --> 00:29:51,680 Speaker 1: isn't just well, when they get to the college level, 527 00:29:51,960 --> 00:29:54,840 Speaker 1: let's just ignore, you know, the academic gaps and to 528 00:29:54,880 --> 00:29:58,120 Speaker 1: diversify the student body just a bit more people from 529 00:29:58,320 --> 00:30:02,400 Speaker 1: different races for for no reason. They don't have the qualifications, 530 00:30:02,440 --> 00:30:05,000 Speaker 1: but we just want a nice of our student body. Well, 531 00:30:05,040 --> 00:30:08,800 Speaker 1: I have never heard a convincing argument as to why 532 00:30:09,080 --> 00:30:16,280 Speaker 1: diversity matters in making a place better. I can only 533 00:30:16,320 --> 00:30:20,080 Speaker 1: make a really great argument that if everyone hired is 534 00:30:20,480 --> 00:30:24,400 Speaker 1: the best available employee, then you could see how if 535 00:30:24,400 --> 00:30:28,400 Speaker 1: you multiply the work of dozens or hundreds of the best, 536 00:30:28,760 --> 00:30:32,880 Speaker 1: that you're going to get a superior product, a company, service, whatever. Right, 537 00:30:33,000 --> 00:30:36,400 Speaker 1: But if you're going to just go by eye color, 538 00:30:36,680 --> 00:30:41,800 Speaker 1: skin color, last name, ethnic heritage. How are you possibly 539 00:30:42,080 --> 00:30:46,120 Speaker 1: going to have a competitive company in any field? I mean, Dan, 540 00:30:46,160 --> 00:30:48,360 Speaker 1: you might as well just pick names at random out 541 00:30:48,360 --> 00:30:52,520 Speaker 1: of a hat. Now, you know, I don't understand the premise. 542 00:30:52,640 --> 00:31:00,400 Speaker 1: I never will. It's not something that works. Really. They 543 00:31:00,400 --> 00:31:03,480 Speaker 1: asked people, does everyone in the US, regardless of their race, 544 00:31:03,560 --> 00:31:07,040 Speaker 1: have an equal opportunity for education? And half the people 545 00:31:07,080 --> 00:31:10,400 Speaker 1: said yes. Only thirty six percent said no. But when 546 00:31:10,400 --> 00:31:13,840 Speaker 1: you dig down into the political affiliations, clearly the Democrats 547 00:31:14,200 --> 00:31:17,000 Speaker 1: fifty two percent said no, no, no, no, no, But 548 00:31:17,120 --> 00:31:19,960 Speaker 1: you know, independence is where it's always worth looking, and 549 00:31:20,120 --> 00:31:22,520 Speaker 1: only forty four thirty four percent said no. Forty four 550 00:31:22,560 --> 00:31:26,120 Speaker 1: percent said gets pretty close to the overall. If you've 551 00:31:26,120 --> 00:31:29,440 Speaker 1: got the good opportunity for education, I say, I just disagree. 552 00:31:29,480 --> 00:31:32,720 Speaker 1: If you've really got the goods, then you're gonna get hired, 553 00:31:32,720 --> 00:31:35,520 Speaker 1: you're gonna get accepted, you're gonna do well. And there's 554 00:31:36,520 --> 00:31:41,560 Speaker 1: literally millions of examples in America of people from every 555 00:31:41,600 --> 00:31:46,960 Speaker 1: possible race and and um ethnicity, and you just name 556 00:31:47,000 --> 00:31:50,200 Speaker 1: you name the demographic box. Right, there's millions of people 557 00:31:50,200 --> 00:31:53,840 Speaker 1: and who succeeded really well on their own merits because 558 00:31:53,880 --> 00:31:57,880 Speaker 1: they had the skills, developed their talents, they had the education, 559 00:31:58,360 --> 00:32:02,160 Speaker 1: the natural brains, i Q. Whatever it is, all right, 560 00:32:02,200 --> 00:32:04,560 Speaker 1: and and and those people are going to beat the 561 00:32:04,600 --> 00:32:09,760 Speaker 1: loser companies who value other stuff. They just will, all right. 562 00:32:09,800 --> 00:32:13,360 Speaker 1: Coming up the physics, our guests will be the LA 563 00:32:13,480 --> 00:32:16,880 Speaker 1: may oral candidate Rick Caruso one more time before the 564 00:32:16,920 --> 00:32:19,120 Speaker 1: election on Tuesday, John and Ken kf I AM six 565 00:32:19,280 --> 00:32:22,520 Speaker 1: forty Live Everywhere on the iHeartRadio app and Debrah Mark 566 00:32:22,560 --> 00:32:24,240 Speaker 1: lytton the twenty four hour Cafe Newsroom