1 00:00:00,680 --> 00:00:02,080 Speaker 1: Can't. I am six forty. 2 00:00:02,120 --> 00:00:05,560 Speaker 2: You're listening to the John Cobelt podcast on the iHeartRadio app. 3 00:00:06,320 --> 00:00:08,520 Speaker 2: We are on every day from one until four o'clock, 4 00:00:08,800 --> 00:00:12,119 Speaker 2: and after four o'clock it's John Cobelt's show on demand 5 00:00:12,160 --> 00:00:17,400 Speaker 2: on the iHeart app. Getting an Uber ride can be 6 00:00:17,400 --> 00:00:21,439 Speaker 2: a really creepy experience, especially if you're a woman. Yes, 7 00:00:22,480 --> 00:00:24,800 Speaker 2: you ever been in a creepy Uber ride? Uh? 8 00:00:26,320 --> 00:00:30,480 Speaker 3: Not creepy, But sometimes they are kind of chatty, and 9 00:00:30,520 --> 00:00:33,400 Speaker 3: I don't I just I don't feel like chatty. 10 00:00:33,479 --> 00:00:36,560 Speaker 1: I don't like being spoken to. You have to check 11 00:00:36,600 --> 00:00:37,120 Speaker 1: the box. 12 00:00:38,080 --> 00:00:40,960 Speaker 2: They have a little quick survey they ask when you 13 00:00:40,960 --> 00:00:43,519 Speaker 2: book a ride. Yeah, and it's about the driver talking, 14 00:00:43,600 --> 00:00:45,160 Speaker 2: and it's like, no, no, I don't want to talk. 15 00:00:45,479 --> 00:00:47,680 Speaker 2: And if I forget to check the box, I always 16 00:00:47,720 --> 00:00:49,400 Speaker 2: get somebody who can't shut up. 17 00:00:49,479 --> 00:00:51,640 Speaker 4: I don't think I saw that when I last took 18 00:00:51,640 --> 00:00:52,120 Speaker 4: an Uber. 19 00:00:52,280 --> 00:00:55,120 Speaker 2: Oh yeah, yeah. They're settings like would you want air 20 00:00:55,160 --> 00:00:56,160 Speaker 2: conditioning or heat? 21 00:00:56,360 --> 00:00:56,560 Speaker 3: Oh? 22 00:00:57,160 --> 00:00:59,360 Speaker 1: You know you want music or no music? 23 00:00:59,640 --> 00:01:02,280 Speaker 3: I know, rolling out something where you can ask for 24 00:01:02,400 --> 00:01:04,080 Speaker 3: a female. 25 00:01:04,040 --> 00:01:08,760 Speaker 2: Yeah yeah, And well I think that it triggered this 26 00:01:08,760 --> 00:01:17,040 Speaker 2: this story here. They Uber has been overwhelmed with sexual 27 00:01:17,080 --> 00:01:22,240 Speaker 2: assault cases. But they've managed to keep the records sealed 28 00:01:22,280 --> 00:01:26,600 Speaker 2: for many years, and now they're unsealing some of the records. 29 00:01:26,959 --> 00:01:30,319 Speaker 2: And you're not going to believe this Uber, And this 30 00:01:30,360 --> 00:01:35,440 Speaker 2: is Uber's own documents. Uber received a report of sexual 31 00:01:35,480 --> 00:01:41,400 Speaker 2: assault or sexual misconduct almost every eight minutes on average 32 00:01:43,000 --> 00:01:45,720 Speaker 2: in a six year period from twenty seventeen to twenty 33 00:01:45,760 --> 00:01:51,280 Speaker 2: twenty two. Now, these weren't all physical sexual assaults. Some 34 00:01:51,360 --> 00:01:54,960 Speaker 2: of it was just uncomfortable behavior, but twenty five percent, 35 00:01:55,600 --> 00:02:02,400 Speaker 2: we're serious. And I see the guys who come I 36 00:02:02,480 --> 00:02:03,920 Speaker 2: used to see the kind of guys who come in 37 00:02:05,200 --> 00:02:10,960 Speaker 2: pick me up and a lot of weirdos. And usually 38 00:02:11,040 --> 00:02:16,440 Speaker 2: their their car is unclean, it smells bad. They've got 39 00:02:16,440 --> 00:02:18,919 Speaker 2: some weird incense hanging in the air, and maybe they're 40 00:02:18,960 --> 00:02:20,040 Speaker 2: burning stage. 41 00:02:20,080 --> 00:02:22,119 Speaker 4: Or they're disguising their bo. 42 00:02:23,440 --> 00:02:28,280 Speaker 1: Or it may be their bo. It's usually cigarettes too. Yeah, yeah, And. 43 00:02:29,919 --> 00:02:33,280 Speaker 2: They got strange music playing, or they'll have a religious 44 00:02:33,600 --> 00:02:39,359 Speaker 2: station on and you've got people howling, howling, howling, Yeah, 45 00:02:39,400 --> 00:02:42,519 Speaker 2: you know, like gospel singing, but I mean just or 46 00:02:42,600 --> 00:02:47,519 Speaker 2: sometimes just howling, And I'm really uncomfortable. I do not 47 00:02:47,720 --> 00:02:49,720 Speaker 2: like being on rides with strangers. I don't like being 48 00:02:49,720 --> 00:02:53,359 Speaker 2: on buses. I don't like being on subways. I actually 49 00:02:53,440 --> 00:02:56,240 Speaker 2: like taxis better. Like often when I land at the airport, 50 00:02:56,360 --> 00:02:58,800 Speaker 2: I go to the taxi stand because those guys are 51 00:02:58,840 --> 00:03:02,040 Speaker 2: employed by a company. There are real employee, and they 52 00:03:02,080 --> 00:03:05,360 Speaker 2: have their their ID badges there and they have you know, 53 00:03:05,400 --> 00:03:09,560 Speaker 2: a special license number, and I just feel better because 54 00:03:09,560 --> 00:03:12,080 Speaker 2: they got to report to somebody, and they were also 55 00:03:12,240 --> 00:03:15,040 Speaker 2: went through some kind of vetting process, even minimally right. 56 00:03:15,480 --> 00:03:19,400 Speaker 2: But Uber drivers, there's nothing. It's weird guys who like 57 00:03:19,480 --> 00:03:21,280 Speaker 2: to drive around at two in the morning and they 58 00:03:21,320 --> 00:03:24,200 Speaker 2: live in dirty apartments. 59 00:03:24,280 --> 00:03:24,800 Speaker 4: Not all. 60 00:03:26,160 --> 00:03:29,440 Speaker 3: I'm sure there's some very hard Uber driver's job. I 61 00:03:29,520 --> 00:03:32,440 Speaker 3: know it's a second or third job for them. I 62 00:03:32,520 --> 00:03:34,880 Speaker 3: don't they're upstanding citizens. 63 00:03:36,120 --> 00:03:40,760 Speaker 2: I got the ones who are thinking, are are dodging 64 00:03:40,840 --> 00:03:45,440 Speaker 2: law enforcement? I'm serious. I get guys who just completely 65 00:03:45,440 --> 00:03:46,520 Speaker 2: frequent everything insane. 66 00:03:46,920 --> 00:03:50,160 Speaker 3: Is there a setting where you can say please, no convicts? 67 00:03:52,200 --> 00:03:53,400 Speaker 1: Well was going to show up then. 68 00:03:56,600 --> 00:04:02,840 Speaker 2: So Uber has been testing certain tools to make trips safer, 69 00:04:03,960 --> 00:04:08,320 Speaker 2: certain types of algorithms, video recording, pairing female passengers with 70 00:04:08,400 --> 00:04:12,520 Speaker 2: female drivers, But Uber, in a lot of cases never 71 00:04:12,600 --> 00:04:17,440 Speaker 2: required excuse me, never requires drivers to adopt some of 72 00:04:17,440 --> 00:04:22,960 Speaker 2: these programs, nor did it warrant passengers about certain factors 73 00:04:23,000 --> 00:04:27,000 Speaker 2: that would indicate that an attack was possible. So they 74 00:04:27,120 --> 00:04:28,839 Speaker 2: identify you know, when you get it, when do you 75 00:04:28,839 --> 00:04:30,719 Speaker 2: get a sexual issue? 76 00:04:30,760 --> 00:04:32,000 Speaker 1: Every eight minutes? 77 00:04:32,520 --> 00:04:34,600 Speaker 2: You have a lot of data you can analyze, and 78 00:04:34,640 --> 00:04:38,040 Speaker 2: they made some conclusions, but they never told the customers 79 00:04:40,200 --> 00:04:44,080 Speaker 2: and hundreds of the records have been under seal. There 80 00:04:44,160 --> 00:04:49,039 Speaker 2: is a large scale sexual assault litigation case against Uber 81 00:04:49,080 --> 00:04:54,279 Speaker 2: going on. Part of it is they of course never 82 00:04:54,320 --> 00:04:57,720 Speaker 2: wanted to have their drivers be employees. They wanted to 83 00:04:57,720 --> 00:05:00,760 Speaker 2: be contractors, which means you don't have to pay benefits 84 00:05:00,800 --> 00:05:05,680 Speaker 2: or overtime. Also means the drivers are minimally supervised and 85 00:05:05,760 --> 00:05:11,560 Speaker 2: not subject to the same labor rules. Now listen to this, 86 00:05:11,720 --> 00:05:15,119 Speaker 2: and they found this in writing. Our purpose and goal 87 00:05:15,320 --> 00:05:18,560 Speaker 2: is not to be the police. This is according to 88 00:05:18,600 --> 00:05:24,080 Speaker 2: a twenty twenty one brainstorming document, our bar is much lower. 89 00:05:24,720 --> 00:05:27,760 Speaker 2: Our goal is to protect the company and get this 90 00:05:28,560 --> 00:05:33,400 Speaker 2: set a tolerable risk level for our operations. You understand 91 00:05:33,400 --> 00:05:38,960 Speaker 2: that ubers Uber's goal was to set a tolerable risk 92 00:05:39,080 --> 00:05:45,400 Speaker 2: level for sexual assault of their female customers. Well, once 93 00:05:45,480 --> 00:05:51,440 Speaker 2: this leaked out, Uber's current had a safety. Hannah Nile says, well, 94 00:05:51,480 --> 00:05:55,080 Speaker 2: there is no tolerable level of sexual assault. Well, that's 95 00:05:55,120 --> 00:05:57,159 Speaker 2: not what it said. That's not what it said in 96 00:05:57,200 --> 00:06:05,240 Speaker 2: the in your internal memo, a tolerable risk. So four 97 00:06:05,320 --> 00:06:09,080 Speaker 2: hundred thousand eighty one Uber trips resulted in reports of 98 00:06:09,120 --> 00:06:15,120 Speaker 2: sexual assault or sexual misconduct. Now some three quarters are 99 00:06:15,200 --> 00:06:19,679 Speaker 2: considered less serious. It's about making, uh like, creepy comments 100 00:06:19,680 --> 00:06:28,200 Speaker 2: about somebody's appearance, using explicit language or flirting. I don't 101 00:06:28,200 --> 00:06:31,960 Speaker 2: know what what point flirting becomes sexual misconduct. 102 00:06:32,040 --> 00:06:36,960 Speaker 3: I don't think we Well, it can depending on what 103 00:06:37,120 --> 00:06:37,559 Speaker 3: is said. 104 00:06:38,200 --> 00:06:41,599 Speaker 1: Oh, I know that that's a that's a gray zone though. 105 00:06:41,839 --> 00:06:44,279 Speaker 3: And you know it is, It's true what what somebody 106 00:06:44,360 --> 00:06:49,200 Speaker 3: may feel is flirting or inappropriate, somebody else doesn't. 107 00:06:49,680 --> 00:06:52,360 Speaker 4: It doesn't penetrate. Yeah, maybe that wasn't the right word. 108 00:06:52,200 --> 00:07:04,280 Speaker 2: Either, but ah, but but I made you the tolerable 109 00:07:04,360 --> 00:07:08,479 Speaker 2: risk level. It was in an Uber memo that that 110 00:07:09,440 --> 00:07:11,840 Speaker 2: our goal is to protect the company and set the 111 00:07:11,880 --> 00:07:14,040 Speaker 2: tolerable risk level for our operations. 112 00:07:15,040 --> 00:07:18,160 Speaker 3: Well, they don't want their drivers hurt either, I mean, 113 00:07:18,160 --> 00:07:20,640 Speaker 3: you know, they're crazy people to get into ubers. 114 00:07:20,840 --> 00:07:23,200 Speaker 2: The attacks typically her late at night or on the 115 00:07:23,240 --> 00:07:26,240 Speaker 2: weekend with pickups originating near a bar. 116 00:07:26,560 --> 00:07:27,560 Speaker 1: Here's a big surprise. 117 00:07:29,040 --> 00:07:32,320 Speaker 2: Yeah, and the vast majority of cases the offenders are men. 118 00:07:34,600 --> 00:07:35,640 Speaker 4: That's not surprising. 119 00:07:35,800 --> 00:07:38,520 Speaker 2: What was the last time a female uber driver attacked 120 00:07:38,520 --> 00:07:42,080 Speaker 2: a guy sexually? Has that ever happened? 121 00:07:42,640 --> 00:07:46,000 Speaker 1: I don't think so with uh? And and and if 122 00:07:46,000 --> 00:07:48,080 Speaker 1: she did, who's calling in that complaint? 123 00:07:50,040 --> 00:07:53,000 Speaker 4: A whisp? No, that's me to say. 124 00:07:53,160 --> 00:07:57,280 Speaker 3: No, if somebody was attacked, if a guy was attacked 125 00:07:57,320 --> 00:08:00,960 Speaker 3: by a woman, Huh, yes, absolutely, that person should call 126 00:08:01,000 --> 00:08:01,200 Speaker 3: it in. 127 00:08:01,240 --> 00:08:02,760 Speaker 1: Maybe if she was a big woman. 128 00:08:03,960 --> 00:08:06,320 Speaker 4: That was very mean. Your meanness is spreading. 129 00:08:06,440 --> 00:08:09,480 Speaker 2: No, that was two in this conversation. Yeah, I know, Yeah, 130 00:08:09,600 --> 00:08:19,200 Speaker 2: it's two. They they're men, either the drivers or the passengers. 131 00:08:19,240 --> 00:08:19,840 Speaker 1: H And what do you know? 132 00:08:19,880 --> 00:08:24,480 Speaker 2: Intoxicated passengers are especially vulnerable. You know, a woman who's 133 00:08:24,680 --> 00:08:26,880 Speaker 2: drank too much should not get into the backseat of 134 00:08:26,920 --> 00:08:27,640 Speaker 2: an uber with a. 135 00:08:27,600 --> 00:08:31,920 Speaker 3: Guy, but you know, driving their own car either, I know, 136 00:08:33,200 --> 00:08:34,080 Speaker 3: what are your options? 137 00:08:34,200 --> 00:08:35,240 Speaker 1: No good options there? 138 00:08:37,360 --> 00:08:39,840 Speaker 2: In fact, a drunken woman shouldn't trust her male friends 139 00:08:39,840 --> 00:08:43,160 Speaker 2: at two o'clock in the morning if she's loaded. Now, 140 00:08:43,200 --> 00:08:48,280 Speaker 2: listen to this. Here here is one driver. The woman 141 00:08:48,320 --> 00:08:52,160 Speaker 2: gets picked up at eight fifty three pm. She wants 142 00:08:52,160 --> 00:08:54,400 Speaker 2: to be dropped off at a house twenty two minutes away, 143 00:08:54,960 --> 00:08:59,880 Speaker 2: but the trip diverged and Uber started setting sending the 144 00:09:00,040 --> 00:09:04,200 Speaker 2: woman automated notifications to check on her, but she didn't respond, 145 00:09:05,000 --> 00:09:08,240 Speaker 2: and the ride continued to deviate from its route, and 146 00:09:08,280 --> 00:09:10,600 Speaker 2: by nine point thirty it stopped near a motel six. 147 00:09:11,920 --> 00:09:15,360 Speaker 2: Uber kept sending electronic notifications. Well, what's that going to do. 148 00:09:16,760 --> 00:09:18,640 Speaker 2: You're just going to get a bubble on your phone 149 00:09:18,679 --> 00:09:20,120 Speaker 2: screen and it's going to go ding. 150 00:09:20,760 --> 00:09:23,040 Speaker 4: Why don't you send a police card to the location. 151 00:09:23,240 --> 00:09:28,400 Speaker 2: Yes, that's what I thought, And then they kept contacting 152 00:09:28,400 --> 00:09:33,000 Speaker 2: her with a roboclaw She didn't pick up. And this 153 00:09:33,000 --> 00:09:36,640 Speaker 2: this drive, this ride lasted until two in the morning. 154 00:09:37,080 --> 00:09:37,920 Speaker 4: What were they doing? 155 00:09:38,840 --> 00:09:41,800 Speaker 1: I don't know. I mean, maybe she was in on it, 156 00:09:41,880 --> 00:09:44,760 Speaker 1: maybe she maybe she was. Yeah, I don't know. 157 00:09:45,440 --> 00:09:49,920 Speaker 2: She liked except the driver had received two previous activate 158 00:09:50,240 --> 00:09:54,920 Speaker 2: accusations of sexual misconduct for inappropriate comments. 159 00:09:55,480 --> 00:09:58,520 Speaker 1: Another twenty two minute ride had lasted about five hours. 160 00:09:58,880 --> 00:10:01,559 Speaker 4: So then why is this and still driving for Uber? 161 00:10:01,720 --> 00:10:05,600 Speaker 2: Because Uber didn't care, they didn't do anything about it. 162 00:10:05,920 --> 00:10:09,440 Speaker 2: In fact, the report asked, are our actions or lack 163 00:10:09,480 --> 00:10:12,840 Speaker 2: of actions? Defensible. The first thing they did is they 164 00:10:12,880 --> 00:10:15,480 Speaker 2: went to an attorney and said, okay, well, yes, the 165 00:10:15,520 --> 00:10:18,880 Speaker 2: guy disappeared for five hours, ended up in a motel six. 166 00:10:19,440 --> 00:10:24,880 Speaker 1: We didn't do anything about it. Is that defensible? Yeah? 167 00:10:25,240 --> 00:10:29,520 Speaker 1: I don't know. I was never I was never thrilled 168 00:10:29,520 --> 00:10:31,280 Speaker 1: by the uber phenomenon. 169 00:10:31,559 --> 00:10:33,960 Speaker 3: Well, I thought it was pretty cool, but you take 170 00:10:34,000 --> 00:10:35,000 Speaker 3: your chances. 171 00:10:35,080 --> 00:10:35,400 Speaker 1: Yeah. 172 00:10:35,440 --> 00:10:38,720 Speaker 2: Really, it's like, who's you know, who's available late at night? 173 00:10:40,320 --> 00:10:40,400 Speaker 3: What? 174 00:10:40,559 --> 00:10:43,360 Speaker 1: What's what's the what's the gene pool late at night? Right? 175 00:10:43,800 --> 00:10:45,640 Speaker 4: No good thing happens late at night. 176 00:10:45,880 --> 00:10:47,400 Speaker 1: No. I always told that to my sons. 177 00:10:47,559 --> 00:10:48,360 Speaker 4: It's kind of true. 178 00:10:48,400 --> 00:10:51,960 Speaker 2: I I kind of I always said, nothing good happens 179 00:10:52,000 --> 00:10:55,560 Speaker 2: after midnight. Yeah, more coming up. 180 00:10:56,320 --> 00:11:00,400 Speaker 5: You're listening to John Cobelt on demand from kif A 181 00:11:00,679 --> 00:11:01,199 Speaker 5: six forty. 182 00:11:02,640 --> 00:11:05,440 Speaker 2: If you want to call the moist line, these are 183 00:11:05,480 --> 00:11:08,520 Speaker 2: the last requests today because Moistlines tomorrow in about twenty 184 00:11:08,520 --> 00:11:11,000 Speaker 2: four hours will do it twice in the three o'clock 185 00:11:11,000 --> 00:11:13,360 Speaker 2: hour eight seven seven Moist eighty six, eight seven seven 186 00:11:13,400 --> 00:11:17,239 Speaker 2: moist eighty six, or usually talkback feature on the iHeart 187 00:11:17,480 --> 00:11:21,280 Speaker 2: radio app. We were talking a few days ago about 188 00:11:21,320 --> 00:11:26,560 Speaker 2: how there's one Google ex Google executive who said it's 189 00:11:26,559 --> 00:11:28,880 Speaker 2: going to start in twenty twenty seven, and it's going 190 00:11:28,920 --> 00:11:33,480 Speaker 2: to be the destruction of the middle class white collar 191 00:11:33,679 --> 00:11:39,160 Speaker 2: office jobs because of AI that the technology advances over 192 00:11:39,360 --> 00:11:42,840 Speaker 2: the past decades went after a lot of blue collar 193 00:11:42,880 --> 00:11:47,200 Speaker 2: manual labor, you know, technology so that machines can do 194 00:11:47,280 --> 00:11:51,920 Speaker 2: the work rather than humans, rather than big strong men. 195 00:11:52,760 --> 00:11:56,560 Speaker 2: Need fewer of those. Now, well, this wave of AI 196 00:11:57,400 --> 00:12:01,400 Speaker 2: is going to go after people who work in cubicles, 197 00:12:01,559 --> 00:12:06,120 Speaker 2: people who stare at screens all day. And here's an example. 198 00:12:06,679 --> 00:12:10,640 Speaker 2: And I hope I don't run into this. You know 199 00:12:10,679 --> 00:12:16,000 Speaker 2: what it's like traveling long distances, right, Yeah, And you're 200 00:12:16,040 --> 00:12:19,400 Speaker 2: in a strange city going to a hotel you've never 201 00:12:19,440 --> 00:12:24,720 Speaker 2: been to before. You're tired, you feel just ragged and dirty, 202 00:12:25,440 --> 00:12:27,760 Speaker 2: just want to get to your room. You go up 203 00:12:27,760 --> 00:12:30,600 Speaker 2: to the receptionist desk. And if you go to the 204 00:12:30,679 --> 00:12:35,719 Speaker 2: Lakita in in sweets in Miami, there's no receptionist to 205 00:12:35,760 --> 00:12:41,439 Speaker 2: greet you anymore. Nobody is it a robot. It's a screen. 206 00:12:44,320 --> 00:12:48,240 Speaker 2: There's a kiosk attached to a credit card machine. It 207 00:12:48,320 --> 00:12:51,839 Speaker 2: says check in and check out here, and you start. 208 00:12:51,880 --> 00:12:54,280 Speaker 2: You stick in your credit card and you get this 209 00:12:54,400 --> 00:12:57,520 Speaker 2: young guy with a foreign accent, looks like he's in 210 00:12:57,520 --> 00:13:01,560 Speaker 2: India or somewhere in that region, wearing a headset, and 211 00:13:01,600 --> 00:13:04,000 Speaker 2: he comes on the screen to guide you through the process. 212 00:13:04,400 --> 00:13:05,160 Speaker 4: You're kidding. 213 00:13:05,520 --> 00:13:08,959 Speaker 2: No, Now, So you're checking into Miami hotel and you're 214 00:13:08,960 --> 00:13:12,199 Speaker 2: talking to somebody ten thousand miles away looking at a camera. 215 00:13:12,040 --> 00:13:14,880 Speaker 3: And when you have questions about the location that you're at, 216 00:13:15,120 --> 00:13:16,440 Speaker 3: the person in India is. 217 00:13:16,440 --> 00:13:17,200 Speaker 4: Going to have no clue. 218 00:13:17,320 --> 00:13:21,120 Speaker 2: Yeah, ask some questions about, well, what kind of tourist 219 00:13:21,160 --> 00:13:22,319 Speaker 2: attractions are there in the air? 220 00:13:22,520 --> 00:13:23,559 Speaker 1: No, a good restaurant. 221 00:13:25,240 --> 00:13:27,760 Speaker 4: Can you send somebody from the US here please? 222 00:13:27,920 --> 00:13:28,120 Speaker 1: Yeah? 223 00:13:28,320 --> 00:13:30,640 Speaker 2: Can you send somebody up to my room? You know, 224 00:13:30,840 --> 00:13:34,720 Speaker 2: I need some more pillows, I need a new sheet. 225 00:13:34,840 --> 00:13:35,400 Speaker 4: Good luck. 226 00:13:36,720 --> 00:13:41,280 Speaker 2: Somebody has happened to a real person, a remote receptionist, 227 00:13:41,320 --> 00:13:44,720 Speaker 2: and they took a video the whole thing, and two 228 00:13:44,760 --> 00:13:47,600 Speaker 2: million people have already viewed it and nobody seems to 229 00:13:47,679 --> 00:13:52,880 Speaker 2: like it. One person wrote, the reason for a desk 230 00:13:53,080 --> 00:13:55,599 Speaker 2: is like having a dormant and an apartment building security. 231 00:13:56,200 --> 00:13:59,560 Speaker 2: I wouldn't feel safe in a hotel without without a staff, 232 00:14:00,320 --> 00:14:03,400 Speaker 2: because there's no there's nobody in charge. 233 00:14:03,440 --> 00:14:06,560 Speaker 4: You have cockroaches in your room. Who are you gonna 234 00:14:06,600 --> 00:14:07,280 Speaker 4: call about that? 235 00:14:08,440 --> 00:14:13,360 Speaker 1: Can't call anybody, call a guy in India. 236 00:14:13,360 --> 00:14:15,079 Speaker 2: And some people don't even think it was a real 237 00:14:15,080 --> 00:14:21,960 Speaker 2: guy and they think it was an artificial intelligence receptionist. 238 00:14:23,320 --> 00:14:25,920 Speaker 2: So they took it to Wyndham Hotels and Resorts, which 239 00:14:25,960 --> 00:14:29,760 Speaker 2: is the parent company of Lakita, and the spokesperson didn't 240 00:14:29,800 --> 00:14:32,440 Speaker 2: deny that they had this going on. We're where this 241 00:14:32,520 --> 00:14:38,000 Speaker 2: matter and are actively investigating. All Lakita Hotels are independently 242 00:14:38,040 --> 00:14:41,600 Speaker 2: owned and operated. This is a franchise situation, and they're 243 00:14:41,600 --> 00:14:44,560 Speaker 2: required to have a team member at the front desk 244 00:14:44,600 --> 00:14:45,320 Speaker 2: at all times. 245 00:14:45,920 --> 00:14:49,000 Speaker 4: Yeah, because what if some criminal comes in? 246 00:14:49,240 --> 00:14:54,080 Speaker 2: Uh huh, Well, you've called the guy in Pakistan, see 247 00:14:54,080 --> 00:14:54,800 Speaker 2: what he can do for you. 248 00:14:54,960 --> 00:14:57,800 Speaker 1: Sure, that's what life is. 249 00:14:57,960 --> 00:15:03,080 Speaker 2: Every time you need to talk to a human, no 250 00:15:03,120 --> 00:15:05,640 Speaker 2: matter what your business is, you end up being sent 251 00:15:05,680 --> 00:15:07,840 Speaker 2: to the other side of the world. It's somebody in 252 00:15:07,880 --> 00:15:10,720 Speaker 2: the Philippines, it's somebody in India, it's somebody it's always 253 00:15:10,720 --> 00:15:14,080 Speaker 2: in Asia because you know they have slave labor policies there. 254 00:15:15,560 --> 00:15:19,040 Speaker 2: Damn these American companies. So this is what this is 255 00:15:19,080 --> 00:15:19,760 Speaker 2: the AI world. 256 00:15:19,760 --> 00:15:23,320 Speaker 3: We're gonna get The only thing about AI that I 257 00:15:23,440 --> 00:15:25,680 Speaker 3: like is when I go to Google and I ask 258 00:15:25,800 --> 00:15:29,600 Speaker 3: a question and then the answer gets you know, it's AI. 259 00:15:30,040 --> 00:15:31,640 Speaker 1: Right, that's all. 260 00:15:32,440 --> 00:15:35,880 Speaker 3: I don't want to taking anybody's jobs. I don't want 261 00:15:35,880 --> 00:15:36,840 Speaker 3: to take our job. 262 00:15:39,400 --> 00:15:40,800 Speaker 1: I don't know how long we can last year. 263 00:15:40,840 --> 00:15:42,000 Speaker 4: I don't either. 264 00:15:42,640 --> 00:15:50,920 Speaker 2: Before there's some AI generated posting newsperson that they designed 265 00:15:50,920 --> 00:15:54,960 Speaker 2: in Pakistan, right, I mean. 266 00:15:54,840 --> 00:15:57,360 Speaker 1: This is this is just this is not better. 267 00:15:58,040 --> 00:15:59,600 Speaker 2: You know. One of my sons, and my sons are 268 00:15:59,600 --> 00:16:03,480 Speaker 2: on there ties and I was talking about one of 269 00:16:03,480 --> 00:16:05,720 Speaker 2: them's in town this week and I said, I remember 270 00:16:05,760 --> 00:16:08,160 Speaker 2: my mother when she got to a certain age. 271 00:16:08,200 --> 00:16:10,280 Speaker 1: She said, I don't recognize the world anymore. 272 00:16:10,480 --> 00:16:12,160 Speaker 4: Well, you've been saying that for a while. 273 00:16:12,440 --> 00:16:15,200 Speaker 1: And I go, now, I don't recognize the world anymore. 274 00:16:15,360 --> 00:16:18,440 Speaker 1: And he goes. My son says, I don't recognize the world. 275 00:16:18,960 --> 00:16:19,720 Speaker 4: That's so sad. 276 00:16:19,800 --> 00:16:20,840 Speaker 1: It's so different than it. 277 00:16:20,800 --> 00:16:25,560 Speaker 2: Was, you know, even ten to fifteen years ago. And 278 00:16:26,400 --> 00:16:28,520 Speaker 2: he said the same thing I did. It's not better. 279 00:16:29,200 --> 00:16:31,560 Speaker 2: That's the thing. I realized. It's maybe cheaper and more 280 00:16:31,600 --> 00:16:33,920 Speaker 2: efficient for the companies, but it's not better. 281 00:16:34,120 --> 00:16:36,360 Speaker 3: Right again, we talked about this the other day. You're 282 00:16:36,360 --> 00:16:38,360 Speaker 3: going to have so many people out of work. They're 283 00:16:38,400 --> 00:16:43,400 Speaker 3: going to be god knows doing what. You're eliminating so 284 00:16:43,520 --> 00:16:46,920 Speaker 3: many jobs. What are you expecting humans to do? 285 00:16:47,120 --> 00:16:49,200 Speaker 1: All the out of work young men in the world, 286 00:16:49,920 --> 00:16:50,800 Speaker 1: what are they going to do? 287 00:16:51,000 --> 00:16:52,760 Speaker 4: It's not just men, it's women too. 288 00:16:54,000 --> 00:16:56,280 Speaker 1: Yeah, but men are dangerous when they have nothing to do. 289 00:16:57,040 --> 00:17:00,720 Speaker 3: Except I told you, I'm watching hunting wives and this, 290 00:17:00,720 --> 00:17:04,480 Speaker 3: this line cracked me up when somebody asked these women, 291 00:17:04,760 --> 00:17:07,000 Speaker 3: so what do you do for work? And they said, 292 00:17:08,200 --> 00:17:11,480 Speaker 3: we we wife, We don't work, we wife, we wife, 293 00:17:11,600 --> 00:17:12,159 Speaker 3: we wife. 294 00:17:13,440 --> 00:17:14,200 Speaker 1: I did. 295 00:17:15,680 --> 00:17:16,720 Speaker 4: Ly wife wife. 296 00:17:17,040 --> 00:17:20,320 Speaker 1: I'll bring that. I'll bring that line home. You do that, 297 00:17:20,440 --> 00:17:21,679 Speaker 1: I think you should wife today. 298 00:17:21,800 --> 00:17:24,200 Speaker 4: Yeah, that's gonna go over real. 299 00:17:24,280 --> 00:17:29,840 Speaker 1: Well do wife work? We don't work, we wane wife. 300 00:17:30,840 --> 00:17:32,439 Speaker 2: I don't know what that means, but it sounds. It 301 00:17:32,480 --> 00:17:38,160 Speaker 2: sounds intriguing. Glad you told me about one of the scenes. Yeah, well, 302 00:17:38,160 --> 00:17:39,640 Speaker 2: if that's part of wife work. 303 00:17:39,520 --> 00:17:42,320 Speaker 3: Then you can thank Shannon Farren because she's the one 304 00:17:42,320 --> 00:17:43,119 Speaker 3: that got me hooked on. 305 00:17:43,359 --> 00:17:45,240 Speaker 1: You guys watch a lot of dirty shows. 306 00:17:45,320 --> 00:17:48,000 Speaker 4: Yeah, I know it's all Shannon's and. 307 00:17:48,000 --> 00:17:54,760 Speaker 1: You never say no, no, I don't all right, Uh but. 308 00:17:54,920 --> 00:17:58,000 Speaker 2: But well, what I was gonna say is how long 309 00:17:58,040 --> 00:18:01,000 Speaker 2: does this go on? And you have all those people unemployed, 310 00:18:01,880 --> 00:18:05,680 Speaker 2: all that young energy, all that testosterone before they go 311 00:18:05,800 --> 00:18:08,760 Speaker 2: and they overthrow all the tech companies and there's this 312 00:18:08,920 --> 00:18:14,040 Speaker 2: massive rebellion against the tech world in the AI world. Yeah, 313 00:18:14,200 --> 00:18:15,880 Speaker 2: that's what I think is gonna happen. I think you're 314 00:18:15,920 --> 00:18:18,400 Speaker 2: right because you can't change it. You can't deprive human 315 00:18:18,480 --> 00:18:20,720 Speaker 2: nature of its purpose. And just you can't just send 316 00:18:20,760 --> 00:18:22,840 Speaker 2: him a check for a universal income I had a 317 00:18:22,840 --> 00:18:24,119 Speaker 2: couple of guys tell me this one day and a 318 00:18:24,160 --> 00:18:26,080 Speaker 2: long time and they were just it's just years ago, 319 00:18:26,119 --> 00:18:27,960 Speaker 2: and they go, oh, no, everybody will get a universal 320 00:18:27,960 --> 00:18:31,160 Speaker 2: income check. And and so you don't have to worry 321 00:18:31,160 --> 00:18:34,840 Speaker 2: about money, right the tech companies will be making quadrillions 322 00:18:34,840 --> 00:18:35,280 Speaker 2: of dollars. 323 00:18:35,359 --> 00:18:37,480 Speaker 4: How much money would we get? And then how much 324 00:18:37,520 --> 00:18:38,119 Speaker 4: are we talking? 325 00:18:38,359 --> 00:18:43,960 Speaker 2: Oh, not to cover your fashion bill. But there's. 326 00:18:44,920 --> 00:18:49,240 Speaker 5: You're listening to John Cobels on demand from KFI Am 327 00:18:49,280 --> 00:18:49,840 Speaker 5: six forty. 328 00:18:50,600 --> 00:18:53,240 Speaker 2: We are on every day from one until four o'clock 329 00:18:53,320 --> 00:18:54,600 Speaker 2: and then after four o'clock. 330 00:18:54,640 --> 00:18:55,560 Speaker 1: What you're just joining us? 331 00:18:55,560 --> 00:18:58,680 Speaker 2: Now? You just missed all what we did. That's what 332 00:18:58,720 --> 00:19:01,159 Speaker 2: the iHeart app is for. That's what the podcast is for. 333 00:19:01,320 --> 00:19:03,919 Speaker 2: John Cobel Show on demand, and it's going to be 334 00:19:04,920 --> 00:19:07,720 Speaker 2: dumped on you shortly after four o'clock so you could 335 00:19:07,760 --> 00:19:13,000 Speaker 2: catch up on what you missed. All the media outlets 336 00:19:13,000 --> 00:19:17,440 Speaker 2: covered this story. The number of illegal aliens that were 337 00:19:17,680 --> 00:19:21,359 Speaker 2: arrested in the Los Angeles area dropped in the month 338 00:19:21,359 --> 00:19:32,560 Speaker 2: of July, and the federal agents had arrested twenty almost 339 00:19:32,560 --> 00:19:36,119 Speaker 2: twenty eight hundred illegal aliens in the seven counties around 340 00:19:36,320 --> 00:19:42,960 Speaker 2: LA since June sixth, but it dropped from June, dropped 341 00:19:43,000 --> 00:19:48,160 Speaker 2: from twenty eight hundred to thirteen hundred, and that's because 342 00:19:50,960 --> 00:19:55,280 Speaker 2: the Border Patrol the ICE agents decided to back off. 343 00:19:56,720 --> 00:20:00,639 Speaker 2: After that judge issued a temporary restraining order that you 344 00:20:00,720 --> 00:20:04,520 Speaker 2: can't do indiscriminate raids rounding people up just because they 345 00:20:04,560 --> 00:20:07,480 Speaker 2: happen to be standing around a home depot looking for work. 346 00:20:09,480 --> 00:20:10,280 Speaker 1: They took it to a. 347 00:20:10,240 --> 00:20:14,399 Speaker 2: Court of appeals the Trump administration, and the Court of 348 00:20:14,440 --> 00:20:20,480 Speaker 2: Appeals upheld the temporary restraining order. Now Trump is asking 349 00:20:20,720 --> 00:20:26,280 Speaker 2: the US Supreme Court to lift that restraining order so 350 00:20:26,359 --> 00:20:30,960 Speaker 2: that federal agents can make arrests with the raids that 351 00:20:31,000 --> 00:20:37,359 Speaker 2: they were executing back in June, that they are being 352 00:20:37,400 --> 00:20:39,399 Speaker 2: carried out with probable clause. 353 00:20:41,000 --> 00:20:42,800 Speaker 1: It's an emergency petition. 354 00:20:44,320 --> 00:20:48,199 Speaker 2: And they're going directly now to try to get not 355 00:20:48,320 --> 00:20:50,720 Speaker 2: to litigate the whole issue yet, but just to get 356 00:20:50,720 --> 00:20:55,360 Speaker 2: the temporary restraining order lifted. This case involves a district 357 00:20:55,400 --> 00:20:59,439 Speaker 2: court injunction that threatens to upend immigration officials' ability to 358 00:20:59,560 --> 00:21:03,400 Speaker 2: enforce the law in the Central District of California by 359 00:21:03,440 --> 00:21:08,439 Speaker 2: hanging the prospect of contempt over every investigative stop of 360 00:21:08,480 --> 00:21:10,040 Speaker 2: a suspected illegal alien. 361 00:21:10,480 --> 00:21:12,080 Speaker 1: That's what it says. 362 00:21:13,080 --> 00:21:17,920 Speaker 2: And uh, you know, I uh I said, I said 363 00:21:18,000 --> 00:21:19,600 Speaker 2: yesterday on the air, and I think this is the 364 00:21:19,640 --> 00:21:23,480 Speaker 2: clip that Eric used on our on Instagram, is that 365 00:21:23,600 --> 00:21:24,200 Speaker 2: I just don't. 366 00:21:24,240 --> 00:21:26,840 Speaker 1: I don't care anymore if if. 367 00:21:26,720 --> 00:21:30,720 Speaker 2: Ice agents are violating the constitution, I don't think they are. 368 00:21:30,840 --> 00:21:34,760 Speaker 1: But I'm not a judge, but I really, I really don't. 369 00:21:34,840 --> 00:21:37,480 Speaker 2: I think there's so much law not being enforced that 370 00:21:37,760 --> 00:21:41,600 Speaker 2: why why why are we picking knits over this? They're 371 00:21:41,640 --> 00:21:47,200 Speaker 2: here illegally, They're they're not. Are are they deporting US citizens? 372 00:21:47,520 --> 00:21:51,560 Speaker 2: Are they deporting Green card holders? Are they are they 373 00:21:51,560 --> 00:21:55,040 Speaker 2: deporting anybody who are is on a legitimate visa of 374 00:21:55,080 --> 00:21:58,399 Speaker 2: any kind, anybody with real legal protection? Oh? 375 00:21:58,440 --> 00:22:02,360 Speaker 1: They or not? So it looks like they must have. 376 00:22:02,359 --> 00:22:04,920 Speaker 2: Reasonable suspicion because, as far as I know, the sixteen 377 00:22:04,960 --> 00:22:06,880 Speaker 2: guys they picked up at the home depot, they were 378 00:22:06,880 --> 00:22:11,119 Speaker 2: sixteen for sixteen. All of them were illegal aliens. So 379 00:22:11,280 --> 00:22:14,640 Speaker 2: if they were using some kind of illegal stereotype, how 380 00:22:14,640 --> 00:22:16,800 Speaker 2: did they hit sixteen out of sixteen? 381 00:22:17,880 --> 00:22:18,439 Speaker 1: Imagine that? 382 00:22:21,119 --> 00:22:25,159 Speaker 2: And I think the key was it's they lured the 383 00:22:25,200 --> 00:22:31,000 Speaker 2: illegals to that pedske truck by the driver offering him work, 384 00:22:31,400 --> 00:22:33,119 Speaker 2: and then they came all running to the truck and 385 00:22:33,160 --> 00:22:36,240 Speaker 2: that's when the guys jumped out of the back. Apparently 386 00:22:36,640 --> 00:22:40,640 Speaker 2: whatever I said yesterday drew a lot of contentious comments 387 00:22:40,720 --> 00:22:41,400 Speaker 2: on Instagram? 388 00:22:41,440 --> 00:22:42,600 Speaker 1: Is that right, Eric? Yeah? 389 00:22:42,720 --> 00:22:46,480 Speaker 2: Yeah, people not happy. People didn't agree with your sentiments. No, well, 390 00:22:46,520 --> 00:22:49,720 Speaker 2: I'm glad they're still listening. Yeah, or at least they're 391 00:22:49,760 --> 00:22:50,359 Speaker 2: on their feed. 392 00:22:52,400 --> 00:22:55,360 Speaker 3: I can't believe somebody doesn't agree with John on something. 393 00:22:56,000 --> 00:23:00,359 Speaker 2: You know that almost never happens, That's what I'm so sure. 394 00:23:01,280 --> 00:23:02,440 Speaker 4: They usually agree with you. 395 00:23:02,840 --> 00:23:06,920 Speaker 3: Well, they should, they should, But I'm right, well not always, 396 00:23:07,560 --> 00:23:08,240 Speaker 3: not always. 397 00:23:08,359 --> 00:23:11,800 Speaker 1: No, I say ninety nine percent of the. 398 00:23:11,800 --> 00:23:15,040 Speaker 4: Time I'm right, maybe ninety five. 399 00:23:18,840 --> 00:23:19,880 Speaker 1: I am right. 400 00:23:21,560 --> 00:23:24,439 Speaker 2: The only way to pick up the illegal aliens is 401 00:23:24,520 --> 00:23:30,080 Speaker 2: to monitor their behavior. And if you're standing around who 402 00:23:30,119 --> 00:23:31,439 Speaker 2: all right, let me ask you this. Do you know 403 00:23:31,480 --> 00:23:35,080 Speaker 2: anybody in your life who stands around a home depot waiting, 404 00:23:35,359 --> 00:23:37,760 Speaker 2: waiting for work, waiting for a stranger to show up 405 00:23:37,760 --> 00:23:41,280 Speaker 2: at a pickup truck. They coax you in so you 406 00:23:41,320 --> 00:23:42,919 Speaker 2: could spend the day doing what? 407 00:23:43,480 --> 00:23:45,080 Speaker 4: But I know people that pick them up? 408 00:23:45,840 --> 00:23:47,359 Speaker 1: Oh yeah, oh sure. 409 00:23:49,119 --> 00:23:52,880 Speaker 3: But then there's another way to look at it. They 410 00:23:53,000 --> 00:23:57,840 Speaker 3: are there at least they want to work, right, They're 411 00:23:57,880 --> 00:23:58,879 Speaker 3: trying to find work. 412 00:23:59,480 --> 00:24:03,280 Speaker 2: Yeah, but they can't be self sufficient or it wouldn't 413 00:24:03,280 --> 00:24:05,000 Speaker 2: be spending thirty five billion dollars a year. 414 00:24:05,200 --> 00:24:06,200 Speaker 4: Totally understand that. 415 00:24:06,560 --> 00:24:09,359 Speaker 3: I'm just saying that some people they don't want to work, right, 416 00:24:09,520 --> 00:24:11,439 Speaker 3: They want to just collect the welfare check and they 417 00:24:11,480 --> 00:24:12,200 Speaker 3: don't want to work. 418 00:24:12,520 --> 00:24:15,800 Speaker 4: These guys are trying to, you know, make some money. 419 00:24:15,880 --> 00:24:17,720 Speaker 2: You know what people are cool with too, And I 420 00:24:17,760 --> 00:24:21,879 Speaker 2: don't understand it. This is a massive slave labor market 421 00:24:21,920 --> 00:24:25,240 Speaker 2: that we have set up in this country. All those 422 00:24:26,040 --> 00:24:30,600 Speaker 2: laborers at the home depot, they're getting paid garbage. I 423 00:24:30,640 --> 00:24:32,240 Speaker 2: know when I go to the car wash, those guys 424 00:24:32,280 --> 00:24:34,240 Speaker 2: are getting paid garbage. They're hoping for good tips. 425 00:24:34,359 --> 00:24:36,080 Speaker 4: I was going to say they rely on tips, right, 426 00:24:36,760 --> 00:24:37,159 Speaker 4: But I. 427 00:24:37,560 --> 00:24:38,600 Speaker 1: Don't understand why. 428 00:24:38,760 --> 00:24:42,520 Speaker 2: Why is everybody okay with this modern form of slavery 429 00:24:43,160 --> 00:24:45,879 Speaker 2: that's become part of the culture that we have an 430 00:24:46,080 --> 00:24:50,320 Speaker 2: entire political party approving. The same political party that screams 431 00:24:50,359 --> 00:24:55,240 Speaker 2: about slave reparations is happy to create a new generation 432 00:24:55,880 --> 00:24:58,840 Speaker 2: of slaves imported from another country. 433 00:24:58,680 --> 00:25:01,680 Speaker 3: Because people don't want to pay all that money for 434 00:25:01,800 --> 00:25:04,840 Speaker 3: their gardeners, their housekeepers, their nannies, and the people washing 435 00:25:04,880 --> 00:25:08,639 Speaker 3: their cars. Everybody's used to paying what they're paying, and 436 00:25:08,680 --> 00:25:12,440 Speaker 3: can you imagine it triples quadruples. 437 00:25:12,480 --> 00:25:16,320 Speaker 1: And they all can afford it, especially on my side 438 00:25:16,359 --> 00:25:16,720 Speaker 1: of town. 439 00:25:16,880 --> 00:25:18,200 Speaker 4: Of course your side of town. 440 00:25:18,200 --> 00:25:20,400 Speaker 2: If you can't afford it, do like my dad did, 441 00:25:20,680 --> 00:25:24,320 Speaker 2: push the lawnmower around on the front lawn. That's what 442 00:25:24,400 --> 00:25:27,560 Speaker 2: you do. Wash your own freaking dishes. I wash my 443 00:25:27,600 --> 00:25:33,480 Speaker 2: own dishes. It's not that hard. I don't understand. Actually, 444 00:25:33,520 --> 00:25:37,360 Speaker 2: it's just laziness. They want slaves because they're too lazy 445 00:25:37,520 --> 00:25:40,240 Speaker 2: to do physical labor around the house and on their property. 446 00:25:40,280 --> 00:25:42,200 Speaker 4: Well, I wouldn't say they're slaves because they are. 447 00:25:42,040 --> 00:25:49,439 Speaker 2: Getting paid, yeah, but it's really terrible wages and you know, 448 00:25:49,480 --> 00:25:51,680 Speaker 2: then we got to give them, you know, free healthcare 449 00:25:52,520 --> 00:25:57,040 Speaker 2: from beginning to end. I mean, it's just ridiculous. It's 450 00:25:57,040 --> 00:26:01,159 Speaker 2: a ridiculous system. That we could have work programs for people, 451 00:26:02,160 --> 00:26:04,520 Speaker 2: and we could have you know, earned work credits that 452 00:26:04,680 --> 00:26:08,919 Speaker 2: lead to a green card and citizenship. But this, this 453 00:26:08,920 --> 00:26:14,800 Speaker 2: this completely uncontrolled system of literally millions of people. And 454 00:26:14,880 --> 00:26:18,240 Speaker 2: I thought of this the other day too. Everybody screams 455 00:26:18,280 --> 00:26:23,359 Speaker 2: about how housing is unaffordable here. Well, if we didn't 456 00:26:23,359 --> 00:26:26,920 Speaker 2: have a million extra people living here illegally. 457 00:26:26,880 --> 00:26:29,120 Speaker 1: How many homes and apartments would that open up? 458 00:26:29,800 --> 00:26:33,400 Speaker 2: I mean, you'd have entire neighborhoods that you could build 459 00:26:33,880 --> 00:26:37,719 Speaker 2: affordable housing, and you could you could have a significant 460 00:26:37,720 --> 00:26:40,880 Speaker 2: impact on bringing down the overall price of housing by 461 00:26:40,880 --> 00:26:43,120 Speaker 2: building more homes. That's the only way to bring down 462 00:26:43,119 --> 00:26:46,400 Speaker 2: the price of housing. In southern California. Well, we've got 463 00:26:46,440 --> 00:26:49,320 Speaker 2: a lot of people who are basically squatters. They came 464 00:26:49,320 --> 00:26:53,720 Speaker 2: here from other countries and they're squatting, and all those 465 00:26:53,760 --> 00:27:00,800 Speaker 2: buildings should be converted to to decent housing. I mean, 466 00:27:00,840 --> 00:27:05,480 Speaker 2: you cannot have an underclass of a million, two million, 467 00:27:05,520 --> 00:27:07,399 Speaker 2: four million, whatever the total is. I know it's a 468 00:27:07,400 --> 00:27:09,600 Speaker 2: million just in La county, and I think it's four 469 00:27:09,680 --> 00:27:12,000 Speaker 2: million in the state or three or four million from 470 00:27:12,000 --> 00:27:14,439 Speaker 2: what I've read. Plus there's not even any way to 471 00:27:14,520 --> 00:27:17,280 Speaker 2: count this know for sure, that's what you have, this 472 00:27:17,320 --> 00:27:26,520 Speaker 2: whole underclass. And what's that doing that that's not benefit? Yeah, 473 00:27:26,560 --> 00:27:30,719 Speaker 2: it benefits you because you don't have to pay for 474 00:27:30,760 --> 00:27:33,800 Speaker 2: your own gardener or pay for your own. 475 00:27:35,320 --> 00:27:35,960 Speaker 1: Housekeeper. 476 00:27:36,119 --> 00:27:40,480 Speaker 2: Right, But do you realize how much you're paying in 477 00:27:40,520 --> 00:27:43,960 Speaker 2: taxes to cover the thirty five billion every year? That's 478 00:27:44,000 --> 00:27:47,000 Speaker 2: over ten percent of our budget. That's over ten percent 479 00:27:47,000 --> 00:27:52,159 Speaker 2: of your taxes. You're not saving anything. Well, then the 480 00:27:52,240 --> 00:27:54,680 Speaker 2: list will be too much, the tomatoes will be too much. 481 00:27:55,720 --> 00:27:57,800 Speaker 2: You know how much it is to provide healthcare for 482 00:27:58,240 --> 00:28:01,080 Speaker 2: millions of illegal aliens. You know how much it is 483 00:28:01,119 --> 00:28:04,360 Speaker 2: to provide to provide not in the medical care, but 484 00:28:04,359 --> 00:28:05,360 Speaker 2: but but schooling. 485 00:28:08,760 --> 00:28:09,119 Speaker 1: I don't know. 486 00:28:09,160 --> 00:28:13,879 Speaker 2: I'm noticing the traffics lighter. I'm probably saving an hour 487 00:28:13,920 --> 00:28:14,679 Speaker 2: a week now. 488 00:28:15,080 --> 00:28:20,960 Speaker 3: In driving LA schools are back in session. I think 489 00:28:21,000 --> 00:28:21,560 Speaker 3: we're screwed. 490 00:28:21,880 --> 00:28:24,560 Speaker 1: Well, that's the big test, because you're right. I don't 491 00:28:24,560 --> 00:28:25,000 Speaker 1: know for sure. 492 00:28:25,080 --> 00:28:29,359 Speaker 2: I think the the UH the raids have lightened the 493 00:28:29,359 --> 00:28:30,240 Speaker 2: traffic quite a bit. 494 00:28:30,400 --> 00:28:33,560 Speaker 3: Maybe, but school you know, you and I always talk 495 00:28:33,600 --> 00:28:35,560 Speaker 3: about this, but with school being out a session, a man, 496 00:28:35,760 --> 00:28:37,960 Speaker 3: I know a lot of school districts are in session now, 497 00:28:38,320 --> 00:28:40,960 Speaker 3: but I think LA is maybe next week or the 498 00:28:41,000 --> 00:28:41,560 Speaker 3: week after. 499 00:28:41,960 --> 00:28:44,360 Speaker 1: I think next week that'll be the test. 500 00:28:44,800 --> 00:28:49,400 Speaker 5: Oh see, you're listening to John cobelts on demand from 501 00:28:49,520 --> 00:28:51,160 Speaker 5: KFI AM six forty. 502 00:28:51,960 --> 00:28:54,880 Speaker 2: We're on every day from one until four o'clock and 503 00:28:55,840 --> 00:28:58,320 Speaker 2: in a little while the podcast will be available on 504 00:28:58,320 --> 00:29:02,440 Speaker 2: the iHeart app John Cobelt's Show on Demand. So we're 505 00:29:02,480 --> 00:29:06,360 Speaker 2: just talking about how you know, here in Los Angeles, 506 00:29:06,360 --> 00:29:11,120 Speaker 2: too many people have created this slave culture, so illegal 507 00:29:11,160 --> 00:29:16,120 Speaker 2: aliens can stand around and do heavy labor at people's homes, 508 00:29:16,520 --> 00:29:21,160 Speaker 2: make very little money, and everybody seems to be cool 509 00:29:21,200 --> 00:29:25,440 Speaker 2: with that, right, same crowd who would probably fight for reparations, 510 00:29:25,680 --> 00:29:28,760 Speaker 2: but suddenly the modern day slave labor is not something 511 00:29:28,760 --> 00:29:34,040 Speaker 2: they object to. And in Spain, I love it when 512 00:29:34,080 --> 00:29:36,840 Speaker 2: people get fed up and start taking action themselves, like 513 00:29:36,880 --> 00:29:39,959 Speaker 2: I loved it earlier this week when we found out 514 00:29:40,040 --> 00:29:47,400 Speaker 2: that the that in Studio City, a group of homeowners 515 00:29:47,520 --> 00:29:49,720 Speaker 2: got sick of a guy stealing their mail. 516 00:29:49,760 --> 00:29:50,240 Speaker 1: Every day. 517 00:29:50,680 --> 00:29:56,160 Speaker 2: He'd stolen a mail key from a up a male worker. 518 00:29:56,640 --> 00:29:59,160 Speaker 2: He stole the key and he's stealing the mail every day, 519 00:29:59,720 --> 00:30:02,440 Speaker 2: and a group of homeowners went after him and just 520 00:30:02,960 --> 00:30:07,840 Speaker 2: pepper sprayed him, roughed them up, chased him away. I 521 00:30:07,880 --> 00:30:09,840 Speaker 2: don't think they've caught him yet though, but it was 522 00:30:09,880 --> 00:30:12,840 Speaker 2: fun hearing him scream from the paper from the pepper spray. 523 00:30:13,080 --> 00:30:17,240 Speaker 2: And also the intruder got shot by a studio city homeowner. 524 00:30:18,040 --> 00:30:18,680 Speaker 1: And then in. 525 00:30:18,560 --> 00:30:22,240 Speaker 2: Spain where a lot of illegal aliens crossed the water 526 00:30:22,320 --> 00:30:26,120 Speaker 2: from North Africa, and there's a video going around showing 527 00:30:26,120 --> 00:30:31,520 Speaker 2: a black motor boat pulling up to Sotillo Beach in 528 00:30:31,640 --> 00:30:35,840 Speaker 2: the town of Casteal de Ferro and several migrants from 529 00:30:35,920 --> 00:30:39,600 Speaker 2: North Africa dove into the sea fully clothed and started 530 00:30:40,200 --> 00:30:44,400 Speaker 2: swimming towards shore and they were being chased by law enforcement. 531 00:30:44,480 --> 00:30:47,640 Speaker 2: Law enforcement was waiting for them on the beach and 532 00:30:47,680 --> 00:30:51,760 Speaker 2: then the people sunbathing on the beach joined the chase. 533 00:30:52,160 --> 00:30:56,480 Speaker 2: They joined with the local police. One video shows a 534 00:30:56,480 --> 00:31:03,000 Speaker 2: man in a bathing suit who tackled the migrants, held 535 00:31:03,040 --> 00:31:06,680 Speaker 2: him to the ground with his knee and his just 536 00:31:06,880 --> 00:31:10,440 Speaker 2: drilled his knee into the guy's back until they handed 537 00:31:10,520 --> 00:31:18,080 Speaker 2: him over to Spain's Civil Guard One witness described the 538 00:31:18,080 --> 00:31:21,200 Speaker 2: scene as surreal. We all stood there staring, not quite 539 00:31:21,240 --> 00:31:25,000 Speaker 2: knowing what was happening. It was a recreational boat, but 540 00:31:25,120 --> 00:31:28,040 Speaker 2: when people started to throw objects into the water started 541 00:31:28,040 --> 00:31:31,720 Speaker 2: getting out, we realized it wasn't normal, said a restaurant 542 00:31:31,760 --> 00:31:36,320 Speaker 2: owner who has his place on the beach front. What 543 00:31:36,440 --> 00:31:40,200 Speaker 2: surprised us most The boat was moving very slowly. They 544 00:31:40,320 --> 00:31:44,320 Speaker 2: weren't in a hurry or afraid. They went where they where. 545 00:31:44,320 --> 00:31:47,760 Speaker 2: There were more people, as if nothing had happened. And 546 00:31:48,080 --> 00:31:51,000 Speaker 2: I guess they thought they were just gonna pull up 547 00:31:51,040 --> 00:31:53,600 Speaker 2: on the beach and blend into the crowd. But the 548 00:31:53,640 --> 00:31:56,160 Speaker 2: police happened to be there. That alerted the beach goers 549 00:31:56,200 --> 00:31:58,080 Speaker 2: and everybody chased. 550 00:31:58,080 --> 00:31:59,240 Speaker 1: This chased the. 551 00:31:59,200 --> 00:32:08,320 Speaker 2: Migrants, the migrants. Migrants ended up getting getting arrested, and 552 00:32:08,360 --> 00:32:10,200 Speaker 2: the guys driving the boat turned around and got out 553 00:32:10,240 --> 00:32:13,640 Speaker 2: of there. But you know this is you want to 554 00:32:13,720 --> 00:32:16,160 Speaker 2: keep one on order here, you have to demand it 555 00:32:16,200 --> 00:32:19,240 Speaker 2: and you have to do it yourself. Sometimes can't just 556 00:32:20,200 --> 00:32:24,680 Speaker 2: you know, scrawl on the internet all day. Vote for morons. 557 00:32:26,240 --> 00:32:29,480 Speaker 2: You vote for morons and government. Then you stand around 558 00:32:29,800 --> 00:32:32,360 Speaker 2: looking at the degradation of the city or the county 559 00:32:32,440 --> 00:32:34,640 Speaker 2: or the state, and then bitch about it all the time. 560 00:32:34,680 --> 00:32:37,959 Speaker 2: It's like, well, no, you voted badly. This is the consequence. 561 00:32:38,040 --> 00:32:41,480 Speaker 2: Now you could do something about it. All right, we 562 00:32:41,640 --> 00:32:44,400 Speaker 2: come back. It's going to be Conway. Tim Conway's next 563 00:32:44,840 --> 00:32:47,280 Speaker 2: and see you tomorrow. And Michael Krozer is the News 564 00:32:47,280 --> 00:32:49,800 Speaker 2: Live and the KFI twenty four hour newsroun. Hey, you've 565 00:32:49,800 --> 00:32:52,320 Speaker 2: been listening to the John Cobalt Show podcast. You can 566 00:32:52,360 --> 00:32:55,160 Speaker 2: always hear the show live on KFI Am six forty 567 00:32:55,200 --> 00:32:57,680 Speaker 2: from one to four pm every Monday through Friday, and 568 00:32:57,760 --> 00:33:00,880 Speaker 2: of course anytime on demand on the Heart Radio app.