1 00:00:00,840 --> 00:00:03,400 Speaker 1: Can I am six forty you're listening to the John 2 00:00:03,440 --> 00:00:07,160 Speaker 1: Cobel Podcast on the iHeartRadio app. We're on from one 3 00:00:07,200 --> 00:00:10,399 Speaker 1: until four, and after four o'clock you can hear it 4 00:00:10,440 --> 00:00:12,600 Speaker 1: all over again on the iHeart app John Cobelt Show 5 00:00:12,680 --> 00:00:16,119 Speaker 1: on demand, the podcast version. Let's plunge right into this 6 00:00:16,200 --> 00:00:24,079 Speaker 1: story because this is fascinating. Todd Bensman, he is the reporter, writer, investigator, 7 00:00:24,560 --> 00:00:27,720 Speaker 1: provides a lot of material for the Center for Immigration Studies, 8 00:00:28,720 --> 00:00:31,480 Speaker 1: and he writes for many publications. We saw this one 9 00:00:31,520 --> 00:00:36,720 Speaker 1: in the Washington Examiner. Bensman has a report on hundreds 10 00:00:36,760 --> 00:00:43,000 Speaker 1: of thousands of illegal aliens flown directly to airports in America, 11 00:00:44,159 --> 00:00:48,960 Speaker 1: ninety percent of them to either Florida or Texas. And 12 00:00:49,000 --> 00:00:54,280 Speaker 1: out of that total, most of the Florida Ron DeSantis 13 00:00:55,080 --> 00:01:00,000 Speaker 1: had to deal with three hundred and twenty five thousand 14 00:01:01,280 --> 00:01:04,360 Speaker 1: the legal migrants coming in last year, three hundred and 15 00:01:04,360 --> 00:01:07,520 Speaker 1: twenty five thousand. And you wonder why he and Abbott 16 00:01:07,520 --> 00:01:10,600 Speaker 1: were bussing people and flying people all over the country. 17 00:01:10,720 --> 00:01:13,880 Speaker 1: They were getting overwhelmed by the Biden administration. So let's 18 00:01:13,920 --> 00:01:18,440 Speaker 1: talk to Todd Bensman to see what this is about. Todd, 19 00:01:18,440 --> 00:01:20,640 Speaker 1: how are you. I'm doing great. 20 00:01:20,680 --> 00:01:24,600 Speaker 2: Thank you for having me the story. This piece is 21 00:01:24,720 --> 00:01:27,240 Speaker 2: kind of the latest installment. We've been writing about this 22 00:01:27,400 --> 00:01:33,319 Speaker 2: since about September of last year. These parole programs where 23 00:01:34,040 --> 00:01:40,800 Speaker 2: the administration grants permission for people who were going to 24 00:01:40,840 --> 00:01:45,360 Speaker 2: cross the border to instead be escorted in over the 25 00:01:45,880 --> 00:01:50,000 Speaker 2: land bridges the landports where it looks like it's legal, 26 00:01:50,360 --> 00:01:54,840 Speaker 2: and or they fly them in these two programs directly, 27 00:01:54,960 --> 00:01:57,560 Speaker 2: or they authorized travel for them to make their own 28 00:01:57,640 --> 00:02:01,080 Speaker 2: arrangements to fly in. And it's this second program that 29 00:02:01,240 --> 00:02:04,680 Speaker 2: seems to have gotten more attention than the other land 30 00:02:04,680 --> 00:02:09,840 Speaker 2: bridge program, but that's because Elon Musk and Donald Trump 31 00:02:09,880 --> 00:02:14,560 Speaker 2: both talked all about it when we reported one. Anyway, 32 00:02:15,040 --> 00:02:17,840 Speaker 2: the government will not tell us the names of the 33 00:02:17,880 --> 00:02:23,080 Speaker 2: airports that they're flying from or two, and so we 34 00:02:23,200 --> 00:02:25,959 Speaker 2: tried to figure it out on our own using available 35 00:02:26,040 --> 00:02:29,480 Speaker 2: public data. It's not perfect, but it did point to 36 00:02:29,840 --> 00:02:35,000 Speaker 2: several very important elements about this program, one of which 37 00:02:35,160 --> 00:02:38,399 Speaker 2: is that the vast majority of them appear to be 38 00:02:39,480 --> 00:02:43,800 Speaker 2: flying into Florida at a three hundred and eighty six 39 00:02:43,880 --> 00:02:47,480 Speaker 2: thousand plus in the last year or so that have 40 00:02:47,600 --> 00:02:51,240 Speaker 2: flown into the country under this program. Remember, they were 41 00:02:51,280 --> 00:02:56,160 Speaker 2: going across the border illegally. Three hundred and twenty six 42 00:02:56,200 --> 00:02:59,160 Speaker 2: thousand of them appear to have landed first in Florida, 43 00:03:00,080 --> 00:03:04,239 Speaker 2: may have continued other states after that. We just don't know. 44 00:03:04,320 --> 00:03:07,160 Speaker 1: Do you know what cities they landed in? Was it 45 00:03:07,200 --> 00:03:09,840 Speaker 1: the major cities or some of the smaller airports. 46 00:03:10,600 --> 00:03:17,160 Speaker 2: I mean, it's undoubtedly the major cities, Miami, Fort Lauderdale, Tampa. 47 00:03:18,680 --> 00:03:21,239 Speaker 2: You know it's going to be international airports because the 48 00:03:21,280 --> 00:03:25,640 Speaker 2: way we check this is by looking at available public 49 00:03:25,760 --> 00:03:31,600 Speaker 2: data by customs officer encounters in the airports. You know, 50 00:03:31,639 --> 00:03:34,280 Speaker 2: when you fly in, you have to go through customs 51 00:03:34,880 --> 00:03:37,760 Speaker 2: and each one of those gets logged. But you can 52 00:03:37,800 --> 00:03:39,880 Speaker 2: look at it by nationality, and if you know the 53 00:03:39,960 --> 00:03:44,160 Speaker 2: nationalities that are being brought in Haitians, Cubans, Venezuelans, and 54 00:03:44,240 --> 00:03:49,360 Speaker 2: Nicaraguans primarily, it's pretty easy to check the interior airports. 55 00:03:49,960 --> 00:03:52,160 Speaker 1: Can I let's just stop you a second, because I 56 00:03:52,160 --> 00:03:54,480 Speaker 1: want to briefly go to the beginning of this journey 57 00:03:54,520 --> 00:03:57,360 Speaker 1: for these for these people, because they're coming from their 58 00:03:57,440 --> 00:04:02,360 Speaker 1: native countries, so they're getting on a jetplane from a 59 00:04:02,360 --> 00:04:05,600 Speaker 1: major airport, let's say in Venezuela. How do they know 60 00:04:05,800 --> 00:04:08,400 Speaker 1: to do this, how are they getting in the information? Well, 61 00:04:08,440 --> 00:04:10,760 Speaker 1: i mean, do we have a traveling saying that's booking 62 00:04:10,800 --> 00:04:13,360 Speaker 1: these flights for the locals to come in in a 63 00:04:13,400 --> 00:04:14,720 Speaker 1: free flight to America. 64 00:04:16,080 --> 00:04:21,440 Speaker 2: Well, the program was announced in January of twenty twenty three, 65 00:04:21,680 --> 00:04:24,400 Speaker 2: and of course that kind of thing went worldwide. Everybody 66 00:04:24,440 --> 00:04:29,320 Speaker 2: knows about it. Non governmental organizations made sure that everybody 67 00:04:29,400 --> 00:04:34,040 Speaker 2: knew about this, this incredible opportunity. We've never done anything 68 00:04:34,200 --> 00:04:34,480 Speaker 2: like this. 69 00:04:34,640 --> 00:04:37,320 Speaker 3: Really, do what are we doing this for? 70 00:04:37,720 --> 00:04:41,440 Speaker 1: I mean, it's one thing if they've walked a thousand miles, 71 00:04:41,800 --> 00:04:43,719 Speaker 1: you know, at least they put in some effort. 72 00:04:44,200 --> 00:04:46,520 Speaker 3: But all we have a plane waiting for them on 73 00:04:46,560 --> 00:04:47,120 Speaker 3: the tarmac. 74 00:04:47,200 --> 00:04:49,600 Speaker 1: Now they just have to pack up their bags from 75 00:04:49,640 --> 00:04:51,159 Speaker 1: their house and boom. 76 00:04:52,040 --> 00:04:55,880 Speaker 2: Well we're doing it because according to the government's own 77 00:04:55,960 --> 00:05:00,760 Speaker 2: documents that they announced this is that, you know, the 78 00:05:00,800 --> 00:05:04,720 Speaker 2: border was just too clogged up. It was overwhelming everybody. 79 00:05:05,400 --> 00:05:07,560 Speaker 2: So they figured, well, let's just bring them in legally 80 00:05:08,120 --> 00:05:10,360 Speaker 2: and de clogged the border. 81 00:05:10,400 --> 00:05:12,000 Speaker 3: Are you serious what that is? 82 00:05:12,200 --> 00:05:15,800 Speaker 2: Yes, that's what they say. You know, we we we 83 00:05:15,839 --> 00:05:18,080 Speaker 2: can better manage our border if we just bring them 84 00:05:18,120 --> 00:05:21,680 Speaker 2: in legally. So that's what they did. They brought in 85 00:05:21,760 --> 00:05:25,040 Speaker 2: over eight hundred. They brought in over eight hundred thousand 86 00:05:25,960 --> 00:05:26,840 Speaker 2: immigrants this. 87 00:05:26,800 --> 00:05:29,280 Speaker 3: Way, eight hundred thousand they flew in. 88 00:05:30,480 --> 00:05:34,520 Speaker 2: No, they flew in about four hundred thousand, and the 89 00:05:34,600 --> 00:05:37,840 Speaker 2: other four hundred thousand plus. It's actually way more than 90 00:05:37,880 --> 00:05:42,520 Speaker 2: that now walked in. We're escorted in at the land ports. 91 00:05:42,680 --> 00:05:46,600 Speaker 2: Eight land ports just brought right in and they schedule 92 00:05:46,839 --> 00:05:51,480 Speaker 2: their these crossings on a on a mobile phone app. Yes, 93 00:05:51,640 --> 00:05:57,120 Speaker 2: CBP one so and they're coming in under It's supposed 94 00:05:57,120 --> 00:05:59,720 Speaker 2: to be these temporary two year paroles, but you can 95 00:06:00,000 --> 00:06:04,440 Speaker 2: do these easily online for like whatever, ten bucks and 96 00:06:04,480 --> 00:06:06,760 Speaker 2: for you know, you could just stay in the country 97 00:06:06,760 --> 00:06:08,920 Speaker 2: for years doing these renewals. 98 00:06:08,520 --> 00:06:11,799 Speaker 1: Really like ten ten bucks and you get endless renewals 99 00:06:11,839 --> 00:06:12,880 Speaker 1: to stay in the country. 100 00:06:12,839 --> 00:06:15,240 Speaker 2: Yep, that's right. 101 00:06:15,400 --> 00:06:19,320 Speaker 3: Wow, Yeah, this is way worse than anybody knew. 102 00:06:20,560 --> 00:06:24,040 Speaker 2: Well, yeah, because most people just think about illegal crossings 103 00:06:24,040 --> 00:06:26,560 Speaker 2: at the border, and that's all we pay attention to, 104 00:06:27,040 --> 00:06:28,560 Speaker 2: because that's all we've ever paid attention. 105 00:06:28,640 --> 00:06:34,400 Speaker 1: Everybody think it's it's it's people desperate people paying the 106 00:06:34,480 --> 00:06:39,279 Speaker 1: drug cartails their life savings going into indentured servitude, and 107 00:06:39,480 --> 00:06:42,880 Speaker 1: that the drug cartels are manipulating the flow at the border. 108 00:06:42,920 --> 00:06:46,159 Speaker 1: But here you're telling us that the US government, us 109 00:06:46,200 --> 00:06:51,160 Speaker 1: the taxpayers, are paying for a free flight and then 110 00:06:51,160 --> 00:06:54,359 Speaker 1: they basically get unlimited time to remain in the United States. 111 00:06:55,120 --> 00:06:58,280 Speaker 2: Well, I'll collect you on one thing is that you know, 112 00:06:58,320 --> 00:07:00,240 Speaker 2: as far as I know, we are not paying for 113 00:07:00,279 --> 00:07:04,400 Speaker 2: the flights. We are granting permission for them to fly 114 00:07:04,680 --> 00:07:08,520 Speaker 2: into the US on their own dime or however they 115 00:07:08,520 --> 00:07:08,880 Speaker 2: get it. 116 00:07:09,120 --> 00:07:09,880 Speaker 3: We're charging them. 117 00:07:11,160 --> 00:07:14,920 Speaker 2: No, we're not charging them. We just we just approve 118 00:07:15,560 --> 00:07:20,400 Speaker 2: their flights and their entries and so they pay their 119 00:07:20,440 --> 00:07:24,440 Speaker 2: own ticket. But the point here is, and I think 120 00:07:25,560 --> 00:07:28,440 Speaker 2: you're in LA. So I think my numbers show that 121 00:07:28,560 --> 00:07:32,360 Speaker 2: about eighty eight thousand, five hundred have flown directly into 122 00:07:32,480 --> 00:07:39,440 Speaker 2: LA and another four thousand, five hundred flew into San Francisco. 123 00:07:40,960 --> 00:07:43,320 Speaker 2: And I didn't count San Diego. I think a lot 124 00:07:43,360 --> 00:07:46,040 Speaker 2: are flying into San Diego, but I didn't count that 125 00:07:46,160 --> 00:07:49,760 Speaker 2: because I can't differentiate between the ones that are being 126 00:07:49,760 --> 00:07:51,560 Speaker 2: brought over the land bridge there. 127 00:07:51,880 --> 00:07:54,760 Speaker 1: So when let's say, let's say it's eight thousand that 128 00:07:54,880 --> 00:07:58,080 Speaker 1: landed at lax, where do they go. 129 00:07:59,040 --> 00:08:01,360 Speaker 3: There's somebody waiting them from the government to give. 130 00:08:01,240 --> 00:08:06,920 Speaker 2: Them a ride, there's probably NGOs that are waiting for 131 00:08:07,000 --> 00:08:10,800 Speaker 2: them to help them resettle somewhere or get to the 132 00:08:10,840 --> 00:08:11,760 Speaker 2: next destination. 133 00:08:11,920 --> 00:08:16,640 Speaker 1: And NGOs are non government organizations. These are nonprofits, yes, 134 00:08:16,840 --> 00:08:20,200 Speaker 1: organizations that get tax money, right, federal tax money. 135 00:08:20,920 --> 00:08:24,880 Speaker 2: Yes they do, Yes, they do so. And then you 136 00:08:24,880 --> 00:08:26,800 Speaker 2: know they end up in different you know, they end 137 00:08:26,880 --> 00:08:31,000 Speaker 2: up in different shelters or cities are that are helping 138 00:08:31,080 --> 00:08:36,600 Speaker 2: to integrate them and struggling to pay to integrate them. 139 00:08:36,640 --> 00:08:39,120 Speaker 2: A lot of them, if they're flying to La or 140 00:08:39,160 --> 00:08:43,040 Speaker 2: San Francisco, are probably going there because there's free stuff 141 00:08:43,080 --> 00:08:46,719 Speaker 2: that they're giving out, and you know, maybe they've got 142 00:08:46,760 --> 00:08:49,600 Speaker 2: relatives there that might put them up or a sponsor 143 00:08:49,760 --> 00:08:50,680 Speaker 2: or something like that. 144 00:08:50,760 --> 00:08:52,320 Speaker 1: There's a lot of free stuff here. You can get 145 00:08:52,360 --> 00:08:55,920 Speaker 1: free healthcare and for a free lawyer. Can you hang 146 00:08:55,960 --> 00:08:59,000 Speaker 1: on the line. I got to take a break for 147 00:08:59,080 --> 00:09:00,959 Speaker 1: a debor's news and we'll be back in a few 148 00:09:01,000 --> 00:09:04,600 Speaker 1: minutes with more from Todd Benzman, who is the investigative 149 00:09:04,600 --> 00:09:07,800 Speaker 1: reporter at the Border's in Morez, Mexico right now telling 150 00:09:07,840 --> 00:09:11,559 Speaker 1: us about the Biden administration flying hundreds of thousands of 151 00:09:11,600 --> 00:09:16,120 Speaker 1: illegal aliens directly from their home country from airports and 152 00:09:17,480 --> 00:09:21,600 Speaker 1: Florida is getting about nine eighty percent of them, and 153 00:09:21,679 --> 00:09:24,200 Speaker 1: Texas is getting a lot and many of them are 154 00:09:24,280 --> 00:09:27,040 Speaker 1: ending up here in California as well. More to come. 155 00:09:28,000 --> 00:09:32,280 Speaker 4: You're listening to John Cobelt on demand from KFI AM 156 00:09:32,360 --> 00:09:32,880 Speaker 4: six forty. 157 00:09:34,320 --> 00:09:38,240 Speaker 1: We continue with Todd Benzman. He's the investigative reporter. He 158 00:09:38,320 --> 00:09:42,240 Speaker 1: writes for a lot of news outslets, outlets, and he's 159 00:09:42,320 --> 00:09:44,960 Speaker 1: also with the Center for Immigration Studies. And his latest 160 00:09:45,000 --> 00:09:49,199 Speaker 1: is almost four hundred thousand people over the last year 161 00:09:49,200 --> 00:09:52,960 Speaker 1: and a half have been flown into the country by 162 00:09:54,040 --> 00:09:58,000 Speaker 1: the Joe Biden administration, and about eighty percent of them 163 00:09:58,040 --> 00:10:01,880 Speaker 1: were dumped in Florida, another big dunk in Texas. And 164 00:10:02,160 --> 00:10:05,240 Speaker 1: do we have the planes that fly them to US 165 00:10:05,360 --> 00:10:10,280 Speaker 1: airports and let them out? Uh, let's continue, continue with 166 00:10:10,320 --> 00:10:15,520 Speaker 1: Todd here. I have to wonder the politics of this, 167 00:10:15,679 --> 00:10:19,959 Speaker 1: because because Greg Abbott and Ron DeSantis took a lot 168 00:10:20,000 --> 00:10:22,800 Speaker 1: of heat in the media for sending out so many 169 00:10:22,840 --> 00:10:26,640 Speaker 1: migrants by busting plane elsewhere, but where they set up, 170 00:10:27,440 --> 00:10:30,640 Speaker 1: I mean, can't be a coincidence. I know they're you know, 171 00:10:30,679 --> 00:10:33,760 Speaker 1: they're basically border states, both of them, but this has 172 00:10:33,760 --> 00:10:35,480 Speaker 1: got to be a bit of a political setup. To 173 00:10:35,520 --> 00:10:38,000 Speaker 1: make them look bad by by flooding them with too 174 00:10:38,040 --> 00:10:42,840 Speaker 1: many immigrants by plane and to force them in a 175 00:10:42,880 --> 00:10:45,280 Speaker 1: bad spot so they have to clear out some to 176 00:10:45,320 --> 00:10:46,400 Speaker 1: other states. 177 00:10:47,559 --> 00:10:51,240 Speaker 2: Yeah, I mean, you know, I leave that speculation to 178 00:10:51,320 --> 00:10:54,360 Speaker 2: others as to you know, why they're you know, how 179 00:10:54,559 --> 00:10:57,000 Speaker 2: how it is that they come to go to a 180 00:10:57,080 --> 00:11:01,880 Speaker 2: particular airports. But I think it is more likely that 181 00:11:02,040 --> 00:11:06,760 Speaker 2: those are southern airports that that are easier shorter flights 182 00:11:07,280 --> 00:11:11,800 Speaker 2: from Latin American departure airports to get to You have Florida, 183 00:11:12,679 --> 00:11:16,440 Speaker 2: you can fly there easily from Haiti or you know, 184 00:11:16,520 --> 00:11:19,840 Speaker 2: anyone you know through Caracas or you know, all of 185 00:11:19,880 --> 00:11:26,520 Speaker 2: the Latin American cities you know have flights there. Same 186 00:11:26,559 --> 00:11:31,160 Speaker 2: with Texas. You know Houston Intercontinental, you know George Bush 187 00:11:31,240 --> 00:11:34,840 Speaker 2: Intercontinental Airport there, and it's one of the busiest. And 188 00:11:35,000 --> 00:11:39,240 Speaker 2: you know for Latin America flights, I think all I 189 00:11:39,320 --> 00:11:44,920 Speaker 2: suspect LA is on that route, and so is San Diego. 190 00:11:45,000 --> 00:11:47,920 Speaker 2: I'm going to guess a lot are flying to San Diego. 191 00:11:48,040 --> 00:11:52,439 Speaker 2: We weren't able to include San Diego in our analysis 192 00:11:52,480 --> 00:11:55,160 Speaker 2: because because of the way that data was set up. 193 00:11:55,720 --> 00:11:57,920 Speaker 1: This is kind of a stupid question, but do they do, 194 00:11:58,120 --> 00:12:01,760 Speaker 1: any checks on the people that they're flying into the country. 195 00:12:02,880 --> 00:12:03,320 Speaker 3: Minimal. 196 00:12:03,880 --> 00:12:07,719 Speaker 2: You know, they brag, the administration brags about that all 197 00:12:07,760 --> 00:12:10,199 Speaker 2: of these people are fully vetted, that they've run them 198 00:12:10,200 --> 00:12:13,360 Speaker 2: all through checks, they've done everything. But but what they're 199 00:12:13,360 --> 00:12:20,280 Speaker 2: talking about is running databases on past criminality in the US. 200 00:12:21,080 --> 00:12:26,240 Speaker 2: Did they hit on any US databases? And you know, 201 00:12:26,360 --> 00:12:28,080 Speaker 2: most of them have never been to the US, so 202 00:12:28,160 --> 00:12:30,920 Speaker 2: why would they want anything flagged on the US. So 203 00:12:30,960 --> 00:12:32,560 Speaker 2: they get it, they get it clearer. 204 00:12:32,920 --> 00:12:36,600 Speaker 1: Isn't that clever? Yeah, we're checking for US crimes they've 205 00:12:36,640 --> 00:12:37,520 Speaker 1: never been here. 206 00:12:38,800 --> 00:12:41,320 Speaker 2: Right, And you know you can't really check for crimes 207 00:12:41,320 --> 00:12:43,720 Speaker 2: in any of their home countries because most of them 208 00:12:43,760 --> 00:12:49,520 Speaker 2: are from Venezuela, Cuba, Nicaragua, which hates US. Venezuela and 209 00:12:49,600 --> 00:12:52,800 Speaker 2: Nicaragua are not helping us out with an intel share. Sorry, 210 00:12:53,880 --> 00:12:56,480 Speaker 2: Cuba is not helping us out with an intel share. 211 00:12:57,360 --> 00:13:00,800 Speaker 2: Uh either and either and neither is hate because Haiti 212 00:13:00,840 --> 00:13:03,000 Speaker 2: I only even think they have working computers there. 213 00:13:03,120 --> 00:13:06,000 Speaker 1: Who acts is the travel agent for this, Who lets 214 00:13:06,200 --> 00:13:10,120 Speaker 1: the aliens know that, Hey, there's a plane eight thirty 215 00:13:10,120 --> 00:13:14,920 Speaker 1: tonight leaving Caracas, and you know, have your bags packed 216 00:13:14,920 --> 00:13:17,120 Speaker 1: and here fill out these forms like who's who's doing 217 00:13:17,120 --> 00:13:18,160 Speaker 1: the middleman work here? 218 00:13:18,880 --> 00:13:21,520 Speaker 2: I believe that that's going to be that all is 219 00:13:21,559 --> 00:13:22,199 Speaker 2: happening in. 220 00:13:22,160 --> 00:13:23,520 Speaker 3: The NGO community. 221 00:13:24,480 --> 00:13:27,800 Speaker 2: I think that those those NGOs are you know, throughout 222 00:13:27,840 --> 00:13:31,000 Speaker 2: the Americas, are doing all they can to get as 223 00:13:31,040 --> 00:13:34,760 Speaker 2: many people as possible into that program into that shoot. 224 00:13:35,200 --> 00:13:37,520 Speaker 2: Any probably helping them. And by the way, I just 225 00:13:37,559 --> 00:13:43,400 Speaker 2: say to clear up something, just because they're from Haiti, Cuba, Venezuela, Nicaragua, 226 00:13:43,440 --> 00:13:45,559 Speaker 2: and some of these other places, does not mean they 227 00:13:45,559 --> 00:13:48,680 Speaker 2: are flying from there. We know that there are six 228 00:13:48,800 --> 00:13:52,560 Speaker 2: or seven million Venezuelans living in seventeen different countries in 229 00:13:52,640 --> 00:13:56,800 Speaker 2: Latin America, and Haitians are living in Chile and Brazil 230 00:13:56,920 --> 00:14:00,640 Speaker 2: and twenty other countries. They're all over everywhere, so they 231 00:14:00,640 --> 00:14:04,679 Speaker 2: can fly. These nationalities can fly from any airport that 232 00:14:05,160 --> 00:14:07,040 Speaker 2: has direct flights into the US. 233 00:14:07,160 --> 00:14:09,520 Speaker 3: Has anyone ever done this before, any other administration? 234 00:14:10,840 --> 00:14:16,320 Speaker 2: Nope, this is the first time ever. Wow, they never 235 00:14:16,400 --> 00:14:20,080 Speaker 2: had anything, especially at this scale. There there have been 236 00:14:20,120 --> 00:14:24,040 Speaker 2: some smaller scale family reunification type programs where we were 237 00:14:24,080 --> 00:14:27,120 Speaker 2: trying to get families together, but on a very small scale. 238 00:14:27,360 --> 00:14:29,760 Speaker 2: What is sold nothing like this. 239 00:14:30,000 --> 00:14:32,560 Speaker 1: What has struck me about this is as time goes on, 240 00:14:32,640 --> 00:14:36,720 Speaker 1: you realize how purposeful the Biden administration has been in 241 00:14:36,920 --> 00:14:41,360 Speaker 1: engineering this migration. At first that everyone was saying, well, 242 00:14:41,400 --> 00:14:45,080 Speaker 1: he reversed all the Trump directives, you know, out of 243 00:14:45,120 --> 00:14:50,040 Speaker 1: a political anger, right, and then it was look, this administration, 244 00:14:50,240 --> 00:14:52,760 Speaker 1: there's a bunch of incompetent boobs. They can't run the border, 245 00:14:52,960 --> 00:14:55,840 Speaker 1: and it's it's really none of that. It's this is 246 00:14:55,880 --> 00:14:59,360 Speaker 1: the philosophy that they believe in, and they're engineering this 247 00:14:59,560 --> 00:15:02,160 Speaker 1: massive transfer right. 248 00:15:02,240 --> 00:15:06,120 Speaker 2: And I mean, if you are somebody who appreciates mass 249 00:15:06,160 --> 00:15:08,240 Speaker 2: migration and feels like, you know, we are a nation 250 00:15:08,360 --> 00:15:12,040 Speaker 2: of immigrants and this is our values and that sort 251 00:15:12,080 --> 00:15:15,320 Speaker 2: of thing, this thing is like brilliant Nobel Peace Prize 252 00:15:15,400 --> 00:15:19,920 Speaker 2: kind of stuff. I mean, it was just brilliantly carried 253 00:15:19,960 --> 00:15:26,040 Speaker 2: out at every level. Administratively, we're using the bureaucracy and 254 00:15:26,160 --> 00:15:31,880 Speaker 2: policy and law to get as many people as possible 255 00:15:32,000 --> 00:15:34,320 Speaker 2: into the country in as short a period of time 256 00:15:34,920 --> 00:15:40,200 Speaker 2: that they possibly could. And this is definitely not incompetence. 257 00:15:40,560 --> 00:15:44,320 Speaker 2: It is not the result of something out of their control. 258 00:15:44,480 --> 00:15:49,800 Speaker 2: It is very very well executed, very well planned, and 259 00:15:49,840 --> 00:15:54,040 Speaker 2: the people that we're doing this and still are are 260 00:15:54,200 --> 00:15:55,360 Speaker 2: experts at it. 261 00:15:56,280 --> 00:15:59,240 Speaker 1: But Todd, thank you for coming on with us. Always 262 00:15:59,320 --> 00:16:01,240 Speaker 1: fascinating stuff, excellent reporting. 263 00:16:02,160 --> 00:16:05,960 Speaker 2: Thank you very much. And look for my piece from 264 00:16:05,960 --> 00:16:08,760 Speaker 2: wars in the Daily Mail tomorrow. All right, I have 265 00:16:08,760 --> 00:16:10,800 Speaker 2: a big package on the cartels down here. 266 00:16:10,920 --> 00:16:14,120 Speaker 1: Okay, well, look look forward to it. That he's in Warez, Mexico. 267 00:16:14,360 --> 00:16:17,520 Speaker 1: Todd Benzman, the journalist who's been at the border for 268 00:16:17,600 --> 00:16:20,160 Speaker 1: quite some time now writes for a lot of publications 269 00:16:20,240 --> 00:16:23,680 Speaker 1: and also is affiliated with the Center for Immigration Studies. 270 00:16:24,480 --> 00:16:25,920 Speaker 3: And you heard hundreds of. 271 00:16:25,920 --> 00:16:29,920 Speaker 1: Thousands of illegal aliens wilfully being flown into this country 272 00:16:29,960 --> 00:16:32,680 Speaker 1: by the Biden administration, and a lot of them, about 273 00:16:32,680 --> 00:16:34,800 Speaker 1: eighty percent of them dumped into Florida. 274 00:16:35,400 --> 00:16:36,080 Speaker 3: More coming up. 275 00:16:37,040 --> 00:16:41,400 Speaker 4: You're listening to John Cobelt on demand from KFI Am 276 00:16:41,400 --> 00:16:41,960 Speaker 4: six forty. 277 00:16:42,640 --> 00:16:44,760 Speaker 1: We're on the radio from one until four and after 278 00:16:44,760 --> 00:16:48,840 Speaker 1: four o'clock John Cobelt Show on Demand. It's the podcast version. 279 00:16:48,880 --> 00:16:51,320 Speaker 1: It's the same as the radio show, just goes quicker. 280 00:16:51,760 --> 00:16:53,640 Speaker 1: And if you want to be on the moistline, it's 281 00:16:53,640 --> 00:16:56,200 Speaker 1: eight seven seven Moist eighty six, eight seven seven Moist 282 00:16:56,200 --> 00:16:59,040 Speaker 1: eighty six. Get to it right Friday, the whole world 283 00:16:59,040 --> 00:17:02,320 Speaker 1: could hear what you what you're thinking about, how smart 284 00:17:02,360 --> 00:17:04,440 Speaker 1: you are your deep thoughts? 285 00:17:04,920 --> 00:17:06,640 Speaker 3: Eight seven seven Moyst eighty six. 286 00:17:07,960 --> 00:17:13,800 Speaker 1: I don't know how California legislators think of this stuff. 287 00:17:15,440 --> 00:17:21,440 Speaker 1: Their intrusiveness, the nanny state never it just never ends. 288 00:17:24,280 --> 00:17:27,919 Speaker 1: Can you imagine they're looking at a law that would 289 00:17:28,640 --> 00:17:31,639 Speaker 1: regulate whether your bosses could contact you at home or 290 00:17:31,680 --> 00:17:37,280 Speaker 1: on the weekends. Like let's say you work from nine 291 00:17:37,280 --> 00:17:41,560 Speaker 1: to five employers who would be prohibited from sending you 292 00:17:41,880 --> 00:17:46,520 Speaker 1: emails or texts or making phone calls outside those work hours. 293 00:17:47,880 --> 00:17:51,400 Speaker 1: I why does the government have to be in control 294 00:17:51,440 --> 00:17:56,480 Speaker 1: of this? This is from every one of them from 295 00:17:56,720 --> 00:18:03,320 Speaker 1: San Francisco, every stinking one of them. Amy an Assemblyman. 296 00:18:03,960 --> 00:18:09,080 Speaker 1: The bill is ABE twenty seven fifty one. It's the 297 00:18:09,200 --> 00:18:13,919 Speaker 1: right for employees to disconnect from emails, texts and calls 298 00:18:13,960 --> 00:18:18,600 Speaker 1: after work hours. Why can't you just not answer the 299 00:18:18,600 --> 00:18:20,440 Speaker 1: phone if you don't want to talk? 300 00:18:20,560 --> 00:18:23,040 Speaker 5: Well, but then if you don't answer the phone, what 301 00:18:23,160 --> 00:18:26,440 Speaker 5: happens if your boss keeps calling and calling and calling 302 00:18:26,480 --> 00:18:27,360 Speaker 5: and calling. 303 00:18:27,600 --> 00:18:31,840 Speaker 1: They keep getting no answer. I think people could regulate 304 00:18:31,880 --> 00:18:35,880 Speaker 1: this on their own. I don't understand why the government 305 00:18:35,920 --> 00:18:40,159 Speaker 1: is necessary to regulate this because if somebody is really irritating, 306 00:18:40,760 --> 00:18:45,159 Speaker 1: you could always get another job, right, I mean, if 307 00:18:45,200 --> 00:18:49,120 Speaker 1: you're going to regulate this, why you could regulate anything 308 00:18:49,200 --> 00:18:53,760 Speaker 1: that a boss does that irritates the employee. And actually, 309 00:18:53,840 --> 00:18:56,600 Speaker 1: most of the time I find it's the employees who 310 00:18:56,600 --> 00:19:01,000 Speaker 1: are who are the problem. It's employees were like lazy 311 00:19:01,040 --> 00:19:04,360 Speaker 1: and stupid and don't want to do their jobs properly. 312 00:19:05,359 --> 00:19:07,359 Speaker 1: I wouldn't want to be I wouldn't want to be 313 00:19:07,400 --> 00:19:09,960 Speaker 1: a SUPERVI. I was a program director once for six months. 314 00:19:10,600 --> 00:19:15,680 Speaker 1: You were eight months. Yeah, I hated. 315 00:19:15,320 --> 00:19:19,040 Speaker 6: It because I can't even imagine that. 316 00:19:19,119 --> 00:19:21,760 Speaker 1: It was a bunch of disc jockeys, you know, and 317 00:19:21,960 --> 00:19:23,960 Speaker 1: and uh it was in Atlantic City and they were 318 00:19:24,000 --> 00:19:27,600 Speaker 1: all idiots, well not all of them, but a lot 319 00:19:27,640 --> 00:19:32,280 Speaker 1: of them. And you spend all your time trying to, uh, 320 00:19:33,520 --> 00:19:36,200 Speaker 1: well for me for that job, trying to schedule disc 321 00:19:36,280 --> 00:19:39,080 Speaker 1: jockeys to show up, you know, on Saturday and Sunday mornings. 322 00:19:39,440 --> 00:19:41,840 Speaker 1: You could spend hours an hour, and nobody wanted to work. 323 00:19:41,880 --> 00:19:44,520 Speaker 1: And everybody was always calling in, claiming in advance that 324 00:19:44,560 --> 00:19:47,119 Speaker 1: they're going to be sick or that something was going 325 00:19:47,200 --> 00:19:54,639 Speaker 1: to happen. And it wasn't me. It was them, you know, 326 00:19:54,720 --> 00:19:57,440 Speaker 1: when I was just a regular disc jockey. They told 327 00:19:57,480 --> 00:20:00,199 Speaker 1: me when to show up. I showed up, I did 328 00:20:00,240 --> 00:20:00,960 Speaker 1: the radio show. 329 00:20:01,320 --> 00:20:02,360 Speaker 3: I know these. 330 00:20:04,119 --> 00:20:07,399 Speaker 6: Yall are so lazy, I'm so entitled. 331 00:20:07,600 --> 00:20:08,080 Speaker 3: Yeah, I know. 332 00:20:09,240 --> 00:20:12,159 Speaker 1: And so why isn't there why why isn't there a 333 00:20:12,240 --> 00:20:16,840 Speaker 1: law that requires employees to show up, execute their job 334 00:20:16,920 --> 00:20:19,280 Speaker 1: competently and not complain and bitch? 335 00:20:20,359 --> 00:20:21,200 Speaker 3: How about that wall? 336 00:20:21,320 --> 00:20:24,679 Speaker 5: It seems ever since the pandemic, the things have just 337 00:20:24,920 --> 00:20:25,800 Speaker 5: changed it. 338 00:20:26,200 --> 00:20:29,800 Speaker 6: I don't I don't understand it. I really don't. 339 00:20:30,000 --> 00:20:31,800 Speaker 5: And you know what, the people that don't want to 340 00:20:31,840 --> 00:20:35,199 Speaker 5: answer their phone, right, well, then if I was the 341 00:20:35,240 --> 00:20:39,160 Speaker 5: boss when it comes time to promotions or raises, I'd 342 00:20:39,200 --> 00:20:39,720 Speaker 5: remember that. 343 00:20:40,040 --> 00:20:40,200 Speaker 2: Now. 344 00:20:40,280 --> 00:20:43,639 Speaker 5: Obviously, if you're being called, if you're being harassed, you 345 00:20:43,680 --> 00:20:45,960 Speaker 5: know that. But like you said, then get another job. 346 00:20:46,160 --> 00:20:48,359 Speaker 1: Well yeah, no, I mean there are there are plenty 347 00:20:48,359 --> 00:20:51,280 Speaker 1: of crazy bosses, and and you hear it there. 348 00:20:51,560 --> 00:20:52,480 Speaker 3: You hear a lot in. 349 00:20:52,440 --> 00:20:56,320 Speaker 1: The entertainment industry, and it's really abusive, and they're throwing 350 00:20:56,400 --> 00:20:58,959 Speaker 1: things and calling you names, and there's physical and sexual 351 00:20:58,960 --> 00:21:02,920 Speaker 1: harassment all and every time. I always hear these stories, 352 00:21:03,080 --> 00:21:05,480 Speaker 1: and I say, why did you show up for day two? 353 00:21:06,560 --> 00:21:06,879 Speaker 3: Really? 354 00:21:07,880 --> 00:21:09,960 Speaker 1: I read about a guy, some famous producer, and he 355 00:21:10,040 --> 00:21:14,320 Speaker 1: was always throwing like coffee cups and staplers at people. 356 00:21:15,520 --> 00:21:18,000 Speaker 1: It's like, how many coffee cups do you need thrown 357 00:21:18,040 --> 00:21:20,880 Speaker 1: at your head before you say I'm getting another job 358 00:21:20,920 --> 00:21:22,320 Speaker 1: with somebody who's saying, you know what? 359 00:21:22,440 --> 00:21:22,960 Speaker 3: Not that hard. 360 00:21:23,000 --> 00:21:25,720 Speaker 5: When I was in college, I had this part time job. 361 00:21:25,760 --> 00:21:27,560 Speaker 5: I'll never forget this. It was a little law firm 362 00:21:27,760 --> 00:21:33,680 Speaker 5: and I was filing and this lawyer was outrageously rude 363 00:21:33,760 --> 00:21:37,640 Speaker 5: and I mean nasty to everybody. And I don't know, 364 00:21:38,280 --> 00:21:41,560 Speaker 5: I don't remember the exact details, but I was supposed 365 00:21:41,600 --> 00:21:44,600 Speaker 5: to I think it was Christmas time, so I was 366 00:21:44,640 --> 00:21:48,080 Speaker 5: supposed to stamp and put the Christmas cards in the 367 00:21:48,200 --> 00:21:51,160 Speaker 5: envelopes whatever. But they were so nasty and this woman, 368 00:21:51,240 --> 00:21:53,719 Speaker 5: she was a lawyer, was so nasty. I literally just 369 00:21:54,119 --> 00:21:55,880 Speaker 5: threw the cards down and I walked out. 370 00:21:56,240 --> 00:21:56,640 Speaker 6: I left. 371 00:21:57,080 --> 00:21:58,520 Speaker 3: I said, I don't need this. 372 00:21:58,520 --> 00:22:00,680 Speaker 5: This is the stupid part time odd that's going to 373 00:22:00,760 --> 00:22:02,560 Speaker 5: have nothing to do with my career. I'm not going 374 00:22:02,600 --> 00:22:04,240 Speaker 5: to be treated this way. And I walked out. 375 00:22:04,720 --> 00:22:07,880 Speaker 1: That's all you got to do. And if if she 376 00:22:07,960 --> 00:22:12,040 Speaker 1: gets enough of those, she's going to stop. I worked 377 00:22:12,040 --> 00:22:15,639 Speaker 1: for a crazy lady who uh she lived in the 378 00:22:15,680 --> 00:22:18,960 Speaker 1: same building that we worked in. I worked briefly for 379 00:22:19,000 --> 00:22:22,920 Speaker 1: a public relations agency. Do I look like public relations material? 380 00:22:23,040 --> 00:22:23,680 Speaker 6: No, not at all. 381 00:22:23,720 --> 00:22:25,760 Speaker 3: I actually helped put on a fashion show once. What. 382 00:22:26,080 --> 00:22:29,119 Speaker 1: Yeah, that's a lot of secrets you don't know. But anyway, 383 00:22:29,160 --> 00:22:33,320 Speaker 1: this crazy lady would get coked up all night and 384 00:22:33,440 --> 00:22:36,840 Speaker 1: so she was on cocaine, flying high by the time 385 00:22:36,960 --> 00:22:37,920 Speaker 1: she got in. 386 00:22:38,040 --> 00:22:39,160 Speaker 3: She hadn't slept all night. 387 00:22:39,200 --> 00:22:42,320 Speaker 1: She was all ragged, yelling at everybody, barking at orders, 388 00:22:43,000 --> 00:22:45,359 Speaker 1: and she wanted me to work late. 389 00:22:45,960 --> 00:22:47,680 Speaker 3: I just told her no, it's. 390 00:22:47,520 --> 00:22:49,680 Speaker 1: Like I'm gonna be slaved to some like coked up 391 00:22:49,680 --> 00:22:53,480 Speaker 1: maniac you know. She would The office was like on 392 00:22:53,520 --> 00:22:56,400 Speaker 1: the sixtieth floor, and she lived on the thirtieth floor 393 00:22:56,480 --> 00:22:58,840 Speaker 1: or something like that. And so that was her whole life, 394 00:22:58,960 --> 00:23:02,479 Speaker 1: going up and down the elevator there. And she was rabid, 395 00:23:02,600 --> 00:23:07,840 Speaker 1: maniacal and cocaine is what field her. She got rid 396 00:23:07,840 --> 00:23:09,240 Speaker 1: of me before I could quit. 397 00:23:09,800 --> 00:23:12,160 Speaker 6: Oh yeah, no, you didn't get the last word. 398 00:23:12,240 --> 00:23:14,359 Speaker 1: No. No, I hate that no, because I told her no, 399 00:23:14,400 --> 00:23:16,480 Speaker 1: I'm not I'm not working. I'm not working in the 400 00:23:16,480 --> 00:23:19,960 Speaker 1: evening for no pay. And I didn't care and like 401 00:23:20,000 --> 00:23:20,320 Speaker 1: the job. 402 00:23:20,359 --> 00:23:21,720 Speaker 6: Anyway, Well, there you go. 403 00:23:21,840 --> 00:23:23,320 Speaker 3: I'm not mister public relations. 404 00:23:23,320 --> 00:23:25,480 Speaker 6: I think we all can agree on that. 405 00:23:26,280 --> 00:23:30,760 Speaker 1: Uh, anyway, this weasel is wiener. Matt Haney said people 406 00:23:30,840 --> 00:23:32,480 Speaker 1: have the have to be able to spend time with 407 00:23:32,520 --> 00:23:35,439 Speaker 1: their families without being constantly interrupted at the dinner table 408 00:23:35,680 --> 00:23:38,879 Speaker 1: or their kids' birthday parties. You know, I went to 409 00:23:38,960 --> 00:23:41,800 Speaker 1: a lot of I went to dozens and dozens birthday parties. 410 00:23:42,320 --> 00:23:46,400 Speaker 1: I don't remember people being interrupted and always being on 411 00:23:46,440 --> 00:23:49,200 Speaker 1: the phone for work occasionally once in a great while. 412 00:23:49,760 --> 00:23:52,120 Speaker 5: I think a lot of people that own their own businesses, 413 00:23:52,400 --> 00:23:55,320 Speaker 5: their own companies. I think those people, but it's their 414 00:23:55,359 --> 00:23:58,119 Speaker 5: own they're the boss. They're dealing with a lot of 415 00:23:58,160 --> 00:24:00,440 Speaker 5: things there are. It's not a nine to five job. 416 00:24:01,440 --> 00:24:04,560 Speaker 1: Yeah, I mean, one guy says, my boss calls me 417 00:24:04,560 --> 00:24:05,280 Speaker 1: any time of the day. 418 00:24:05,320 --> 00:24:07,120 Speaker 3: But I know I'm basically on retainer. 419 00:24:07,320 --> 00:24:09,080 Speaker 1: When you take a job at a startup company, it's 420 00:24:09,119 --> 00:24:12,000 Speaker 1: expected you're going to be available at unorthodox times, and 421 00:24:12,000 --> 00:24:16,040 Speaker 1: I'm willing to make that sacrifice. Another guy says, yeah, 422 00:24:16,040 --> 00:24:17,920 Speaker 1: I work weird hours, but that's the way we need 423 00:24:17,960 --> 00:24:21,000 Speaker 1: to conduct business. You know, I have to deal with 424 00:24:21,040 --> 00:24:26,119 Speaker 1: calls coming from Israel. Sometimes you know, sometimes you just 425 00:24:26,200 --> 00:24:28,280 Speaker 1: know it's hey, it could be a twenty four hour job. 426 00:24:28,320 --> 00:24:30,159 Speaker 3: You're on call when something happens. 427 00:24:29,840 --> 00:24:30,840 Speaker 6: If there's breaking news. 428 00:24:30,840 --> 00:24:34,000 Speaker 5: I don't work the weekends, right but remember when Kobe Bryant, 429 00:24:34,240 --> 00:24:36,240 Speaker 5: when he died right. 430 00:24:37,080 --> 00:24:39,600 Speaker 1: Right in, people always came in on the weekends or 431 00:24:39,920 --> 00:24:43,120 Speaker 1: you know, late at night if some terrible news story happened. 432 00:24:43,840 --> 00:24:47,160 Speaker 1: You just know that's part of the deal. I mean 433 00:24:47,200 --> 00:24:50,879 Speaker 1: a San Francisco Democrat. With legislation to regulate things, we 434 00:24:50,880 --> 00:24:52,120 Speaker 1: can work out ourselves. 435 00:24:52,320 --> 00:24:53,600 Speaker 3: I do not understand. 436 00:24:53,640 --> 00:24:58,159 Speaker 1: I constantly read about these stories about employees and they 437 00:24:58,200 --> 00:25:01,159 Speaker 1: were treated badly and abused this and abused by that, 438 00:25:01,359 --> 00:25:03,720 Speaker 1: not paid right, they don't like their pay. It's like 439 00:25:03,760 --> 00:25:05,680 Speaker 1: the people who work in fast food and we don't 440 00:25:05,680 --> 00:25:08,399 Speaker 1: get paid enough to go get another job. How about 441 00:25:08,400 --> 00:25:11,280 Speaker 1: acquiring a skill. Go to a community college for two years, 442 00:25:11,280 --> 00:25:13,280 Speaker 1: you can get a scale, go to a trade school, 443 00:25:13,680 --> 00:25:14,920 Speaker 1: do something. 444 00:25:17,240 --> 00:25:18,160 Speaker 3: Nation of babies. 445 00:25:18,280 --> 00:25:20,440 Speaker 6: But there are some really nasty bosses there. 446 00:25:20,520 --> 00:25:22,600 Speaker 3: There are just punch them out. 447 00:25:23,080 --> 00:25:25,600 Speaker 6: Well, you know, I got I've never done that. 448 00:25:25,880 --> 00:25:28,280 Speaker 1: I got snapped at it by I mean in small 449 00:25:28,280 --> 00:25:30,399 Speaker 1: market radio. As you know, there's a lot of a 450 00:25:30,520 --> 00:25:34,200 Speaker 1: hole guys, I always yelled back at them. I remember 451 00:25:34,280 --> 00:25:38,919 Speaker 1: one time I wanted to take a long weekend because 452 00:25:39,359 --> 00:25:41,080 Speaker 1: I was going to be the best man in my friend's wedding, 453 00:25:41,720 --> 00:25:45,120 Speaker 1: and the guy said no, And I said, well, I'm going. 454 00:25:49,640 --> 00:25:51,199 Speaker 1: My friend wants me to be the best man at 455 00:25:51,240 --> 00:25:51,600 Speaker 1: his wedding. 456 00:25:51,960 --> 00:25:55,320 Speaker 3: I'm going. Came back no problem on Monday. 457 00:25:55,880 --> 00:25:56,639 Speaker 6: Well you were lucky. 458 00:25:57,840 --> 00:25:59,600 Speaker 3: You know what is what? I was getting one hundred 459 00:25:59,600 --> 00:26:02,200 Speaker 3: and forty doll a week. What was I going to lose? There? 460 00:26:03,800 --> 00:26:08,119 Speaker 4: You're listening to John Cobels on demand from KFI AM 461 00:26:08,160 --> 00:26:08,680 Speaker 4: six forty. 462 00:26:09,560 --> 00:26:12,080 Speaker 1: This is a This was to be a real lecture 463 00:26:12,560 --> 00:26:16,720 Speaker 1: at UCLA's Medical School. When I read this to you, 464 00:26:16,720 --> 00:26:20,000 Speaker 1: you're not going to understand it, and I don't understand it. 465 00:26:20,000 --> 00:26:22,400 Speaker 1: It was going to feature a professor named doctor Helena 466 00:26:22,440 --> 00:26:28,359 Speaker 1: Hansen and the title Beyond Magic Bullets Whiteness as a 467 00:26:28,400 --> 00:26:33,720 Speaker 1: structural driver of the Opioid crisis. Now I don't know 468 00:26:33,840 --> 00:26:36,280 Speaker 1: specifically what that means. I'm just going to take it 469 00:26:36,760 --> 00:26:43,200 Speaker 1: verbatim that having white skin is what drove the opioid crisis. 470 00:26:43,880 --> 00:26:49,840 Speaker 1: She's a trained psychiatrist, psychiatrist, and anthropologist and she has 471 00:26:49,880 --> 00:26:54,320 Speaker 1: a book called white Out, White Out, How racial capitalism 472 00:26:54,440 --> 00:26:59,600 Speaker 1: changed the color of opioids in America. The hell, well, 473 00:27:00,960 --> 00:27:05,359 Speaker 1: it's been abruptly. Uh, they abruptly changed the topic of 474 00:27:05,400 --> 00:27:09,640 Speaker 1: a lecture. And uh, we're gonna talk to Caroline Downey 475 00:27:09,680 --> 00:27:12,040 Speaker 1: from from the National Review. 476 00:27:12,040 --> 00:27:13,680 Speaker 3: Because this is supposed to be a medical school. You 477 00:27:13,760 --> 00:27:17,040 Speaker 3: got to teach people how to deal with diseases. Here, 478 00:27:17,280 --> 00:27:19,840 Speaker 3: it's it's more of this woke garbage. 479 00:27:21,240 --> 00:27:23,440 Speaker 1: We're gonna be You're gonna play a story here from 480 00:27:24,200 --> 00:27:27,960 Speaker 1: Fox eleven Mario Ramirez. We just had this story where 481 00:27:28,040 --> 00:27:32,360 Speaker 1: was it was a Beverly Hills in Calabasas and Calabasas too. 482 00:27:33,320 --> 00:27:41,080 Speaker 1: It's uh, it's guys coming up with AI generated sexual 483 00:27:41,119 --> 00:27:44,800 Speaker 1: photos of the girls in class. Let's see what twist 484 00:27:44,800 --> 00:27:45,800 Speaker 1: it takes in this story. 485 00:27:45,960 --> 00:27:48,520 Speaker 7: High school parents we spoke with say this is likely 486 00:27:48,560 --> 00:27:51,439 Speaker 7: happening a lot more at a lot more schools than 487 00:27:51,480 --> 00:27:55,040 Speaker 7: we're aware of. Those AI generated photos being circulated around 488 00:27:55,080 --> 00:27:58,639 Speaker 7: this campus, and now the school district is investigating where 489 00:27:58,800 --> 00:27:59,840 Speaker 7: and who they came. 490 00:28:00,359 --> 00:28:03,480 Speaker 2: Inappropriate silliness that goes on with high school stuff. 491 00:28:04,640 --> 00:28:07,800 Speaker 3: It's worse today because there's more tools available to the 492 00:28:07,840 --> 00:28:09,680 Speaker 3: people that want to get up to no good. 493 00:28:10,000 --> 00:28:12,080 Speaker 8: People can think that it's real, and I feel like 494 00:28:12,119 --> 00:28:14,640 Speaker 8: that's the scariest thing, especially like now that we're all 495 00:28:14,720 --> 00:28:17,639 Speaker 8: getting into colleges and stuff. The effects that can have 496 00:28:17,680 --> 00:28:21,160 Speaker 8: on your reputation is just it's a scary thing, especially 497 00:28:21,200 --> 00:28:22,960 Speaker 8: like with college being like the biggest part of your 498 00:28:22,960 --> 00:28:23,600 Speaker 8: life right now. 499 00:28:23,720 --> 00:28:26,240 Speaker 7: This morning, we've learned Laguna Beach High School is planning 500 00:28:26,280 --> 00:28:29,760 Speaker 7: to host panel discussions this week about online privacy, ethics 501 00:28:29,760 --> 00:28:33,080 Speaker 7: and the impact of online behavior. It comes after parents 502 00:28:33,119 --> 00:28:36,080 Speaker 7: were notified in a letter last week about the investigation 503 00:28:36,520 --> 00:28:40,440 Speaker 7: into AI generated nude photos of several students here. The 504 00:28:40,480 --> 00:28:43,440 Speaker 7: photos may have been shared among students through text messages, 505 00:28:43,520 --> 00:28:45,920 Speaker 7: and the Laguna Beach Unified School District did release a 506 00:28:45,960 --> 00:28:49,520 Speaker 7: statement to Fox eleven about the photos and the investigation, reading, 507 00:28:49,520 --> 00:28:52,320 Speaker 7: in part, we are required by law to keep student 508 00:28:52,400 --> 00:28:55,560 Speaker 7: discipline matters confidential to protect the privacy and well being 509 00:28:55,600 --> 00:28:57,840 Speaker 7: of our students in any situation that arises. 510 00:28:58,200 --> 00:29:00,840 Speaker 3: The safety and security of our students is always our 511 00:29:00,880 --> 00:29:01,680 Speaker 3: top priority. 512 00:29:02,080 --> 00:29:05,520 Speaker 7: Meanwhile, there was a similar incident in Beverly Hills last month, 513 00:29:05,520 --> 00:29:09,280 Speaker 7: the Beverly Hills Unified School District expelling five students at 514 00:29:09,280 --> 00:29:12,920 Speaker 7: Beverly Vista Middle School for their involvement in AI generated 515 00:29:13,000 --> 00:29:16,880 Speaker 7: nude photos circulating on that campus. The district says sixteen 516 00:29:17,040 --> 00:29:20,320 Speaker 7: eighth graders were victimized with those photos. Back here at 517 00:29:20,400 --> 00:29:23,480 Speaker 7: Laguna Beach High School officials having said who or how 518 00:29:23,520 --> 00:29:26,880 Speaker 7: many students are responsible for these photos, but they do 519 00:29:27,000 --> 00:29:30,320 Speaker 7: say the Laguna Beach Police Department is assisting in the investigation. 520 00:29:30,760 --> 00:29:33,840 Speaker 1: You know what it would end this Have the school 521 00:29:33,880 --> 00:29:38,280 Speaker 1: officials turn the kids over who are sending at the 522 00:29:38,320 --> 00:29:41,760 Speaker 1: porn this is pornography, and have them charged with child 523 00:29:41,760 --> 00:29:42,560 Speaker 1: porn distribution. 524 00:29:44,480 --> 00:29:45,640 Speaker 3: That'll end it. 525 00:29:46,200 --> 00:29:49,200 Speaker 6: But it's so scary what these people are doing with AI. 526 00:29:49,360 --> 00:29:52,160 Speaker 5: I mean, can you imagine there's a picture of you 527 00:29:52,240 --> 00:29:56,040 Speaker 5: floating around it's nude and it's not really you, and 528 00:29:56,080 --> 00:29:57,080 Speaker 5: people believe it's you. 529 00:29:57,240 --> 00:30:01,400 Speaker 3: How do you know they're not. I just wait, we're 530 00:30:01,400 --> 00:30:02,040 Speaker 3: going to see you. 531 00:30:02,080 --> 00:30:04,240 Speaker 1: Just wait, We're going to see an AI picture of 532 00:30:04,320 --> 00:30:05,600 Speaker 1: John and his wet boxers. 533 00:30:05,920 --> 00:30:06,480 Speaker 3: Yeah. 534 00:30:06,760 --> 00:30:07,880 Speaker 6: That was hysterical. 535 00:30:10,440 --> 00:30:13,120 Speaker 1: No, I the only way to stop this is to 536 00:30:13,160 --> 00:30:17,520 Speaker 1: have the penalty be so harsh that kids. 537 00:30:17,360 --> 00:30:18,480 Speaker 3: Are going to say on no way. 538 00:30:18,840 --> 00:30:20,360 Speaker 1: You know, you end up in Megan's list, you end 539 00:30:20,480 --> 00:30:23,880 Speaker 1: up with a sexual offense permanently on your record. That 540 00:30:23,960 --> 00:30:27,080 Speaker 1: has to happen to one kid and make a big 541 00:30:27,120 --> 00:30:29,520 Speaker 1: headline out of it, and then the second kid doesn't 542 00:30:29,560 --> 00:30:32,640 Speaker 1: do it, because otherwise this is around for We're all 543 00:30:32,640 --> 00:30:36,120 Speaker 1: gonna the whole generation now of teenagers who's going to 544 00:30:36,160 --> 00:30:39,080 Speaker 1: get used to this. This will come out constantly. Every 545 00:30:39,120 --> 00:30:44,760 Speaker 1: girl will have sexual photos of her AI image generated 546 00:30:44,800 --> 00:30:46,240 Speaker 1: and be distributed all around the world. 547 00:30:46,840 --> 00:30:47,760 Speaker 3: We're going to stop that. 548 00:30:48,120 --> 00:30:52,040 Speaker 5: We're not seeing AI generated guy nudies. 549 00:30:52,680 --> 00:30:56,720 Speaker 1: Yeah, yeah, there doesn't seem to be that big a market. 550 00:30:57,360 --> 00:31:01,800 Speaker 1: It's just like the old curling magazines. It was all 551 00:31:01,840 --> 00:31:04,320 Speaker 1: about naked women. There were I think there was one 552 00:31:04,400 --> 00:31:05,720 Speaker 1: naked guy magazine. 553 00:31:05,880 --> 00:31:08,000 Speaker 5: Well you know what, John, I think that when we 554 00:31:08,080 --> 00:31:12,840 Speaker 5: find out who doing this, we need, well, the girls 555 00:31:12,880 --> 00:31:15,800 Speaker 5: need to get back at the guys and they need 556 00:31:15,840 --> 00:31:18,720 Speaker 5: to create some AI generated nude pictures of the guys 557 00:31:18,920 --> 00:31:20,040 Speaker 5: something humiliating though. 558 00:31:20,200 --> 00:31:22,600 Speaker 6: Oh I think you know what an eye for an 559 00:31:22,640 --> 00:31:24,080 Speaker 6: eye or you. 560 00:31:23,960 --> 00:31:26,400 Speaker 1: Know a lot of guys would get into this. It's like, hey, 561 00:31:26,400 --> 00:31:28,400 Speaker 1: look what I I mean, guys guys are the ones 562 00:31:28,400 --> 00:31:32,640 Speaker 1: who who send uh pictures of their I know women 563 00:31:32,640 --> 00:31:35,880 Speaker 1: don't do that. Well, I think some do some do. Yeah, 564 00:31:35,920 --> 00:31:40,280 Speaker 1: that's true. I think that's where the culture is going. 565 00:31:40,720 --> 00:31:41,240 Speaker 6: It's crazy. 566 00:31:41,280 --> 00:31:43,440 Speaker 1: I think everybody's going to be trading pictures of their 567 00:31:43,480 --> 00:31:45,440 Speaker 1: naked parts and be. 568 00:31:45,400 --> 00:31:46,240 Speaker 3: Comfortable with it. 569 00:31:46,640 --> 00:31:49,080 Speaker 1: When we come back, we're going to talk with from 570 00:31:49,120 --> 00:31:54,680 Speaker 1: the National Review, Caroline Dowing forgot her name, Caroline Downey's 571 00:31:54,680 --> 00:31:56,959 Speaker 1: coming on. She's a writer and it's about this, uh, 572 00:31:57,600 --> 00:32:02,440 Speaker 1: this whiteness being the driver of the opioid crisis. That 573 00:32:02,680 --> 00:32:05,240 Speaker 1: was more or less the title of a lecture that 574 00:32:05,280 --> 00:32:09,800 Speaker 1: the us UCLA Medical School was going to present and 575 00:32:10,360 --> 00:32:13,600 Speaker 1: it's been changed, and we'll find out why that happened. 576 00:32:14,440 --> 00:32:16,360 Speaker 1: We've got Debora Mark live in the KFI twenty four 577 00:32:16,360 --> 00:32:19,120 Speaker 1: hour newsroom. Hey, you've been listening to the John Cobalt 578 00:32:19,160 --> 00:32:21,520 Speaker 1: Show podcast. You can always hear the show live on 579 00:32:21,640 --> 00:32:24,600 Speaker 1: KFI Am six forty from one to four pm every 580 00:32:24,640 --> 00:32:27,560 Speaker 1: Monday through Friday, and of course, anytime on demand on 581 00:32:27,600 --> 00:32:28,840 Speaker 1: the iHeartRadio app.