1 00:00:00,520 --> 00:00:05,000 Speaker 1: You're listening to KFI AM six forty on demand. Chris Merril, 2 00:00:05,280 --> 00:00:09,639 Speaker 1: I AM six forty more stimulating talk on demand anytime 3 00:00:09,680 --> 00:00:15,520 Speaker 1: and the iHeart Radio app. Really nice. Nice time to 4 00:00:15,560 --> 00:00:19,520 Speaker 1: be in California. Oh my gosh, my wife is I've 5 00:00:19,640 --> 00:00:22,840 Speaker 1: told us before that my wife is at our place 6 00:00:22,840 --> 00:00:28,000 Speaker 1: in northern Michigan. And she called me on Friday or Saturday, 7 00:00:28,080 --> 00:00:32,519 Speaker 1: and it was yesterday, I guess, and she said, hey, 8 00:00:32,400 --> 00:00:35,560 Speaker 1: the water's not not going. What do you mean water's 9 00:00:35,600 --> 00:00:39,000 Speaker 1: not going? She said, yeah, it's cold. It was like 10 00:00:39,240 --> 00:00:43,080 Speaker 1: minus three. The windchill was negative twenty seven, and the 11 00:00:43,120 --> 00:00:45,599 Speaker 1: pipes froze. And I have to tell you this, It's 12 00:00:45,640 --> 00:00:48,199 Speaker 1: always been a huge fear of mine, the pipes freezing. 13 00:00:48,560 --> 00:00:51,680 Speaker 1: And I was like, that stinks. Even worse is I'm 14 00:00:51,680 --> 00:00:55,160 Speaker 1: two thousand miles away. I can't really do anything, and 15 00:00:55,240 --> 00:00:57,160 Speaker 1: she's too pretty to be crawling around out of the house. 16 00:00:57,160 --> 00:00:59,640 Speaker 1: But she did it anyway. She sacked up and took 17 00:00:59,760 --> 00:01:02,920 Speaker 1: up portable heater under the house and ran that sucker 18 00:01:03,000 --> 00:01:05,840 Speaker 1: for about twelve hours before finally the things started to thaw. 19 00:01:05,880 --> 00:01:09,360 Speaker 1: The good news, no pipes burst, the freezing didn't affect 20 00:01:09,400 --> 00:01:11,840 Speaker 1: anything else. But that was no fun. So it's a 21 00:01:11,840 --> 00:01:13,280 Speaker 1: good time to be in California. You see all the 22 00:01:13,319 --> 00:01:15,440 Speaker 1: winter storms going on across the country and here we are. 23 00:01:15,480 --> 00:01:16,920 Speaker 1: We'll talk more about that coming up in just a 24 00:01:16,920 --> 00:01:20,080 Speaker 1: little bit. I thought, and I was wrong on this. 25 00:01:20,760 --> 00:01:22,839 Speaker 1: It doesn't happen very often, but it did this time. 26 00:01:23,959 --> 00:01:27,160 Speaker 1: I thought it was going to be too cold to 27 00:01:27,240 --> 00:01:33,679 Speaker 1: protest in Minneapolis. I was wrong. And part of the 28 00:01:33,680 --> 00:01:39,360 Speaker 1: reason I'm wrong, in fairness to myself, is that there 29 00:01:39,360 --> 00:01:41,800 Speaker 1: were only a few people braving the cold to protest. 30 00:01:41,959 --> 00:01:44,880 Speaker 1: It's just that ice shot and killed one of them, 31 00:01:45,160 --> 00:01:47,760 Speaker 1: and so that brought everybody else out. And people in 32 00:01:47,800 --> 00:01:49,920 Speaker 1: Minnesota are used to cold, so I mean, they've they've 33 00:01:49,960 --> 00:01:52,040 Speaker 1: got their they got their socking caps, they got their 34 00:01:52,160 --> 00:01:55,400 Speaker 1: their wool fuzzy socks, and they got out and then 35 00:01:55,400 --> 00:02:00,240 Speaker 1: they protested. So everything went to hell yesterday when a 36 00:02:00,280 --> 00:02:03,480 Speaker 1: protester and ICU nurse I believe he was at the 37 00:02:03,560 --> 00:02:08,160 Speaker 1: VA that is where he was working with a concealed 38 00:02:08,160 --> 00:02:11,880 Speaker 1: carry permit, showed up at a protest with a firearm. 39 00:02:13,480 --> 00:02:17,200 Speaker 1: And that's being I mean, this is this is just 40 00:02:17,240 --> 00:02:20,840 Speaker 1: the battle of left versus right. Everyone has the right 41 00:02:20,880 --> 00:02:23,400 Speaker 1: to bear arms unless they're doing something we don't like, 42 00:02:23,560 --> 00:02:27,640 Speaker 1: and even your Second Amendment supporters like, yeah, the guy 43 00:02:27,680 --> 00:02:30,080 Speaker 1: didn't do anything wrong. He had a gun there and 44 00:02:30,120 --> 00:02:31,760 Speaker 1: he's allowed to and how dare you say that he 45 00:02:31,760 --> 00:02:34,240 Speaker 1: shouldn't have a gun there? But the government is saying 46 00:02:34,400 --> 00:02:36,680 Speaker 1: he's a domestic terrorist who came to a protest with 47 00:02:36,760 --> 00:02:41,720 Speaker 1: a firearm. So now all of a sudden, the administration 48 00:02:41,880 --> 00:02:45,480 Speaker 1: is making firearms the problem. I know, it's an upside 49 00:02:45,520 --> 00:02:48,720 Speaker 1: down world. Anyway, the shooting goes out in Minneapolis, this 50 00:02:48,840 --> 00:02:53,240 Speaker 1: guy's lying on the street, bleeding out dead, and where 51 00:02:53,280 --> 00:02:56,000 Speaker 1: the weather is a whole lot nicer, we decided to 52 00:02:56,000 --> 00:02:59,399 Speaker 1: take the streets as well. From ABC seven, their emotion 53 00:03:00,280 --> 00:03:01,800 Speaker 1: and explicit. 54 00:03:03,880 --> 00:03:08,480 Speaker 2: Protesters verbally assault officers guarding the federal building downtown. The 55 00:03:08,520 --> 00:03:11,480 Speaker 2: group outraged by the shooting death of Alex Preddy, the 56 00:03:11,560 --> 00:03:14,440 Speaker 2: thirty seven year old nurse gunned down by Ice agents 57 00:03:14,440 --> 00:03:15,360 Speaker 2: in Minneapolis. 58 00:03:15,560 --> 00:03:20,080 Speaker 1: Okay, pause right there for saying here's where this is. So, 59 00:03:22,000 --> 00:03:24,560 Speaker 1: I don't know. I have this wild mix of emotions 60 00:03:24,600 --> 00:03:27,080 Speaker 1: because I saw what happened in Minneapolis and I can't 61 00:03:27,080 --> 00:03:28,880 Speaker 1: stand for it and all that kind of stuff, But 62 00:03:29,120 --> 00:03:31,560 Speaker 1: coming down and screaming at federal officers in front of 63 00:03:31,560 --> 00:03:35,640 Speaker 1: a building in downtown LA. I don't know that that. 64 00:03:36,880 --> 00:03:39,080 Speaker 1: I don't know. Maybe it's effective, maybe that adds your 65 00:03:39,160 --> 00:03:42,200 Speaker 1: voice to the national outcry. But I'm just thinking about 66 00:03:42,240 --> 00:03:44,680 Speaker 1: the guys that are sitting there working, you know, standing 67 00:03:44,720 --> 00:03:47,480 Speaker 1: guard in front of the Federal building, and they're they're 68 00:03:47,600 --> 00:03:50,000 Speaker 1: you know, they saw the news in Minnesota, just like 69 00:03:50,040 --> 00:03:53,280 Speaker 1: you did. And I'm sure that they thought to themselves, crap, 70 00:03:54,120 --> 00:03:56,800 Speaker 1: this is gonna suck. This old day is gonna be 71 00:03:56,800 --> 00:03:58,840 Speaker 1: a bunch of people screaming at me about how awful 72 00:03:58,880 --> 00:04:01,840 Speaker 1: I am. And I was, you know, fifteen hundred miles 73 00:04:01,840 --> 00:04:05,200 Speaker 1: away from it. I didn't do anything. So I do 74 00:04:05,280 --> 00:04:06,960 Speaker 1: actually have a little bit of empathy for them. And 75 00:04:07,000 --> 00:04:08,480 Speaker 1: I know that's a hot take that's going to get 76 00:04:08,480 --> 00:04:11,360 Speaker 1: some of you mad and don't at me. Talkbacks are 77 00:04:11,360 --> 00:04:13,560 Speaker 1: going to fill up with how dare you? It's it's 78 00:04:13,560 --> 00:04:15,880 Speaker 1: how I feel, man. I feel bad for these these 79 00:04:15,960 --> 00:04:17,880 Speaker 1: men and women that didn't do squat and they just 80 00:04:17,880 --> 00:04:18,680 Speaker 1: showed up the work. 81 00:04:25,360 --> 00:04:27,600 Speaker 2: But on the other side of the Federal building, a 82 00:04:27,640 --> 00:04:30,000 Speaker 2: more somber anti ice demonstration. 83 00:04:30,440 --> 00:04:33,240 Speaker 1: You want to kill the gun who makes away? Yeah, 84 00:04:33,279 --> 00:04:36,360 Speaker 1: there you go, that's better. Keep it calm, keep calm, 85 00:04:36,480 --> 00:04:37,599 Speaker 1: carry on. It's a faith. 86 00:04:37,760 --> 00:04:41,080 Speaker 2: Leaders prayed and pleaded for lawmakers to put a stop 87 00:04:41,160 --> 00:04:44,800 Speaker 2: to recent violent immigration enforcement actions. 88 00:04:46,160 --> 00:04:49,719 Speaker 1: Here and. 89 00:04:51,760 --> 00:04:54,240 Speaker 2: The group called out the names of preddy Renee Good 90 00:04:54,440 --> 00:04:57,799 Speaker 2: and Keith Porter, junior US citizens killed at the hands 91 00:04:57,839 --> 00:04:58,279 Speaker 2: of ice. 92 00:04:58,720 --> 00:05:03,720 Speaker 3: I'm very concerned, been concerned for a while, and this 93 00:05:03,839 --> 00:05:06,280 Speaker 3: has nothing to do now it seems like with immigration. 94 00:05:06,640 --> 00:05:09,560 Speaker 1: Yeah, you know, that's that's a good point. It doesn't 95 00:05:09,640 --> 00:05:11,800 Speaker 1: feel like it has anything to do with immigration anymore. 96 00:05:12,360 --> 00:05:16,560 Speaker 1: It doesn't. It feels like this is left on, right, 97 00:05:17,320 --> 00:05:20,440 Speaker 1: What can I do? You don't like me, I'm gonna 98 00:05:20,480 --> 00:05:25,000 Speaker 1: get even. And then you hear I've got clips you're 99 00:05:25,000 --> 00:05:28,000 Speaker 1: gonna hear from Governor Walls later where he's even talking 100 00:05:28,040 --> 00:05:31,120 Speaker 1: about how like we're more collecting evidence so that we 101 00:05:31,160 --> 00:05:36,160 Speaker 1: can prosecute everyone, including the officials, in the future. And 102 00:05:36,279 --> 00:05:39,160 Speaker 1: it's just like, okay, everybody's just going out. 103 00:05:39,400 --> 00:05:43,440 Speaker 2: The latest killing sparked protests across Los Angeles. Air seven 104 00:05:43,560 --> 00:05:47,120 Speaker 2: capturing rallies and marches in North Hollywood to downtown LA 105 00:05:47,400 --> 00:05:48,120 Speaker 2: to Bull Height. 106 00:05:48,320 --> 00:05:51,400 Speaker 1: All right, so it's it's popping off everywhere. It's popping off, 107 00:05:51,680 --> 00:05:53,200 Speaker 1: popping off. You know, I saw the video of this 108 00:05:53,960 --> 00:06:00,160 Speaker 1: this guy that got killed, this Alex pretty and I 109 00:06:00,480 --> 00:06:03,839 Speaker 1: know the administration line is that he was a domestic 110 00:06:04,000 --> 00:06:11,280 Speaker 1: terrorist who came to the protests to uh massacre officers 111 00:06:11,400 --> 00:06:14,120 Speaker 1: or something. I mean, obviously he's not there to defend himselves. 112 00:06:14,720 --> 00:06:17,320 Speaker 1: It's it's strange that you have an administration that that 113 00:06:17,640 --> 00:06:21,120 Speaker 1: that comes out and they they declare righteousness before there's 114 00:06:21,160 --> 00:06:23,960 Speaker 1: even an investigation, before you can even get investigators to 115 00:06:24,120 --> 00:06:29,120 Speaker 1: the scene, they're declaring righteousness and and uh, you know, 116 00:06:30,200 --> 00:06:33,400 Speaker 1: remember you had Jade Vance just in Minneapolis last week 117 00:06:33,480 --> 00:06:37,640 Speaker 1: saying that the officers had absolute immunity. So, I mean, 118 00:06:37,680 --> 00:06:39,839 Speaker 1: this is is just politics gonna play out. But here's 119 00:06:39,880 --> 00:06:42,360 Speaker 1: here's the other thing that I saw. So this guy 120 00:06:42,760 --> 00:06:46,000 Speaker 1: was was there at this protest. There are a group 121 00:06:46,040 --> 00:06:48,320 Speaker 1: of straggler protesters in the street as ice or border 122 00:06:48,360 --> 00:06:51,320 Speaker 1: patrol I guess was was in the street there in Minneapolis, 123 00:06:52,240 --> 00:06:56,200 Speaker 1: and and they were they were interacting with a with 124 00:06:56,320 --> 00:07:01,080 Speaker 1: another woman and this this pretty guy who was recording 125 00:07:01,120 --> 00:07:04,240 Speaker 1: things with his phone. He uh, he stepped in. He 126 00:07:04,400 --> 00:07:07,320 Speaker 1: kind of intervened as the as the agent was getting 127 00:07:07,400 --> 00:07:09,280 Speaker 1: aggressive with the woman. And I don't know the history. 128 00:07:09,279 --> 00:07:11,520 Speaker 1: I don't know if if if that was appropriate or not. 129 00:07:11,720 --> 00:07:13,600 Speaker 1: That's part of an investigation that I don't think we're 130 00:07:13,600 --> 00:07:16,080 Speaker 1: ever going to have. And uh, and he kind of 131 00:07:16,320 --> 00:07:18,680 Speaker 1: he kind of stepped in front and separated them, and 132 00:07:18,840 --> 00:07:21,040 Speaker 1: that's when the officer started pepper spraying him and threw 133 00:07:21,120 --> 00:07:22,760 Speaker 1: him to the ground. And then they said, well, he 134 00:07:22,840 --> 00:07:25,040 Speaker 1: was resisting arrest and trying to murder us, all with 135 00:07:25,640 --> 00:07:30,240 Speaker 1: pepper spray in his eyes and a legal firearm in 136 00:07:30,320 --> 00:07:33,120 Speaker 1: his waistband, which was later taken out by a nice 137 00:07:34,280 --> 00:07:38,560 Speaker 1: agent right before they shot him in the back. And 138 00:07:38,680 --> 00:07:41,320 Speaker 1: it got me thinking, this is why you never try 139 00:07:41,360 --> 00:07:43,960 Speaker 1: to help a woman. It just goes downhill very fast, 140 00:07:44,480 --> 00:07:49,000 Speaker 1: just because inappropriate. Too soon, too soon? All right, that's fair, 141 00:07:49,200 --> 00:07:52,480 Speaker 1: all right, too soon. Uh. As much as we say 142 00:07:52,720 --> 00:07:55,600 Speaker 1: this is this is uh, this is about immigration, or 143 00:07:55,720 --> 00:07:58,800 Speaker 1: you've got others to say this isn't about immigration, we 144 00:07:58,960 --> 00:08:02,800 Speaker 1: all agree that there would not be merely as much 145 00:08:02,880 --> 00:08:05,320 Speaker 1: fallout if you were getting the worst of the worst, 146 00:08:05,440 --> 00:08:09,120 Speaker 1: the gang bangers, the rapist, the murderers, the drug dealers, 147 00:08:09,680 --> 00:08:13,720 Speaker 1: the insane asylum escapeee. So those people that we said 148 00:08:13,760 --> 00:08:16,080 Speaker 1: there were going after the worst of the worst. All right, 149 00:08:16,120 --> 00:08:19,360 Speaker 1: So how's that holding up. Latest numbers out of California 150 00:08:19,440 --> 00:08:23,240 Speaker 1: are interesting and you may not be watching over your 151 00:08:23,320 --> 00:08:27,120 Speaker 1: shoulder for ice agents. They're still having an impact on 152 00:08:27,240 --> 00:08:30,120 Speaker 1: Californians though, how ice raids and tariffs are draining our 153 00:08:30,160 --> 00:08:33,520 Speaker 1: economy as well. It's just how bad the baddies are 154 00:08:33,600 --> 00:08:36,560 Speaker 1: in custody in California. Next Chris Merril KFI AM six forty. 155 00:08:36,559 --> 00:08:40,240 Speaker 1: We're live everywhere in the iHeartRadio app. You're listening to 156 00:08:40,440 --> 00:08:46,439 Speaker 1: KFI AM six forty on demand. I'm Chris Merril KFI 157 00:08:46,600 --> 00:08:51,520 Speaker 1: AM six forty. More stimulating talk. Watching what's going on 158 00:08:51,679 --> 00:08:57,280 Speaker 1: this weekend in Minneapolis. Bums me out, bums everybody out. 159 00:08:57,320 --> 00:09:01,160 Speaker 1: It's got people protesting here, people protesting Federal Building, downtown, 160 00:09:02,120 --> 00:09:06,040 Speaker 1: North Hollywood, all over the place, protesting everywhere, protesting all 161 00:09:06,080 --> 00:09:09,280 Speaker 1: over the place. And the thing is that we had 162 00:09:09,400 --> 00:09:12,320 Speaker 1: heard from the beginning when it comes to the UH, 163 00:09:12,520 --> 00:09:14,760 Speaker 1: the immigration, that it was supposed to be going after 164 00:09:14,800 --> 00:09:16,679 Speaker 1: the worst of the worst, right, that was the whole deal, 165 00:09:16,920 --> 00:09:19,600 Speaker 1: going after the worst of the worst. So it's interesting 166 00:09:19,679 --> 00:09:23,440 Speaker 1: that I was watching CBSLA Russ Palumbo was was doing 167 00:09:23,600 --> 00:09:29,040 Speaker 1: a breakdown of everybody's in ice detention around California. Wait 168 00:09:29,120 --> 00:09:31,199 Speaker 1: until you hear Wait until you hear some of the 169 00:09:31,240 --> 00:09:33,360 Speaker 1: stats that he uncovered on this, because it does not 170 00:09:33,520 --> 00:09:35,880 Speaker 1: feel so much like worst the worst kind of stuff. 171 00:09:36,120 --> 00:09:37,199 Speaker 1: What's starting to McFarlane. 172 00:09:37,240 --> 00:09:40,479 Speaker 3: The Golden State amics had six hundred and five dts, 173 00:09:40,600 --> 00:09:42,920 Speaker 3: sixty two percent of them having no criminal records. 174 00:09:43,120 --> 00:09:46,439 Speaker 1: Sixty wait, sixty two percent had no criminal hold on. 175 00:09:47,000 --> 00:09:52,040 Speaker 1: Let mean, alright, kill it, crack out my t I 176 00:09:52,240 --> 00:09:54,000 Speaker 1: eighty five here, I'm gonna have to do a little 177 00:09:55,320 --> 00:09:58,880 Speaker 1: maticulation on the air. Let's see the sixty two percent 178 00:09:59,360 --> 00:10:05,200 Speaker 1: is it's like that means we've got. That means fewer 179 00:10:05,320 --> 00:10:08,640 Speaker 1: than forty percent of the people that got have any 180 00:10:08,920 --> 00:10:13,800 Speaker 1: criminal record other than being in the country illegally. That's 181 00:10:13,840 --> 00:10:15,360 Speaker 1: the worst, the worst. That's the other thing we're hearing on. 182 00:10:15,400 --> 00:10:17,480 Speaker 1: In Minneapolis, while they were trying to serve a warrant 183 00:10:17,559 --> 00:10:20,920 Speaker 1: on a really bad dude who was once sided for 184 00:10:21,080 --> 00:10:22,280 Speaker 1: disorderly conduct. 185 00:10:22,920 --> 00:10:26,880 Speaker 3: In Bakersfield, the Mesa Verde Processing Center had three hundred 186 00:10:26,880 --> 00:10:30,439 Speaker 3: and ninety detainees eighty percent having no criminal records. 187 00:10:30,920 --> 00:10:35,760 Speaker 1: Eighty percent. So we're just plucking people out of home 188 00:10:35,840 --> 00:10:38,719 Speaker 1: depot parking lots. Now, that's it, right, We're just going 189 00:10:38,760 --> 00:10:40,840 Speaker 1: after the low hanging fruit like that, who's the easiest 190 00:10:40,880 --> 00:10:43,240 Speaker 1: person to catch? And actually that's what we've seen people. 191 00:10:43,280 --> 00:10:45,440 Speaker 1: Do you get Well, they're showing up for their appointment. 192 00:10:46,320 --> 00:10:48,760 Speaker 1: You mean they're showing up to check in and say, hey, 193 00:10:48,800 --> 00:10:50,600 Speaker 1: I'm still here following the rules. Yeah. 194 00:10:51,800 --> 00:10:52,120 Speaker 4: Great. 195 00:10:52,840 --> 00:10:56,680 Speaker 3: In California City, the Immigration Processing center here had nearly 196 00:10:56,800 --> 00:11:00,640 Speaker 3: thirteen hundred detainees, Seventy six percent of those had no 197 00:11:00,760 --> 00:11:05,120 Speaker 3: criminal records. There are actually two processing centers in Atlanto. 198 00:11:05,280 --> 00:11:07,840 Speaker 3: The first one is the Desert View Annex, where they 199 00:11:07,920 --> 00:11:11,160 Speaker 3: had four hundred and forty two detainees, ninety two percent 200 00:11:11,240 --> 00:11:14,360 Speaker 3: having no criminal records. The other is the Atlanto Ice 201 00:11:14,440 --> 00:11:18,000 Speaker 3: Processing Center, where there were more than eighteen hundred detainees, 202 00:11:18,480 --> 00:11:21,120 Speaker 3: sixty one percent here having no criminal records. 203 00:11:21,200 --> 00:11:24,959 Speaker 1: All right, you get the point. However, and I want 204 00:11:24,960 --> 00:11:26,080 Speaker 1: to say this because I know there are a lot 205 00:11:26,120 --> 00:11:27,520 Speaker 1: of you that are already getting angry with me, and 206 00:11:27,559 --> 00:11:30,920 Speaker 1: you are I'm already getting your talkback. So that's fine. Hey, 207 00:11:31,400 --> 00:11:34,280 Speaker 1: what is what is it about illegal that you don't understand? 208 00:11:35,320 --> 00:11:38,599 Speaker 1: I get it. Somebody's in this country without documents that 209 00:11:38,800 --> 00:11:42,439 Speaker 1: is a security threat. There's a risk. However, I think 210 00:11:42,480 --> 00:11:45,720 Speaker 1: we can agree that some some risks are greater than others, 211 00:11:45,760 --> 00:11:47,720 Speaker 1: and probably the people who are checking in at their 212 00:11:47,760 --> 00:11:50,319 Speaker 1: appointments are not the greatest risk. But I get it. 213 00:11:50,559 --> 00:11:52,840 Speaker 1: Not here legally, and we've got to tighten the border. 214 00:11:52,920 --> 00:11:55,160 Speaker 1: We've got to secure the country. I get it. I 215 00:11:55,320 --> 00:11:58,880 Speaker 1: get it. But you have to admit the optics don't 216 00:11:58,920 --> 00:12:02,800 Speaker 1: look good. You have to admit that when you are 217 00:12:03,280 --> 00:12:08,360 Speaker 1: shooting protesters in the streets, and in every case is well, 218 00:12:08,400 --> 00:12:10,199 Speaker 1: I have to make this excuse that it's okay. I 219 00:12:10,280 --> 00:12:11,920 Speaker 1: have to be If you keep if you have to 220 00:12:12,000 --> 00:12:16,560 Speaker 1: keep finding excuses, then that means you know, deep down 221 00:12:17,640 --> 00:12:21,800 Speaker 1: something's not right. If you have to find justification to 222 00:12:21,960 --> 00:12:24,360 Speaker 1: do this, then deep down you know that you're not 223 00:12:25,240 --> 00:12:29,480 Speaker 1: You don't have the moral high ground right. So, I mean, 224 00:12:29,520 --> 00:12:31,480 Speaker 1: I understand the whole We've got to crack down, we've 225 00:12:31,480 --> 00:12:33,720 Speaker 1: got to be vigilant, we've got to watch our borders. 226 00:12:34,120 --> 00:12:37,160 Speaker 1: I get that argument. I support that argument, but I 227 00:12:37,280 --> 00:12:38,800 Speaker 1: also think there's a right way to do it. We'll 228 00:12:38,800 --> 00:12:43,160 Speaker 1: talk more about some of the fallout. And by the way, 229 00:12:43,200 --> 00:12:45,880 Speaker 1: the Democrats are really boning things up on this too. 230 00:12:47,480 --> 00:12:51,280 Speaker 1: Democrats are showing everyone why they can't win elections. 231 00:12:51,559 --> 00:12:52,280 Speaker 4: I know they do in. 232 00:12:52,280 --> 00:12:59,400 Speaker 1: California, but they they really are. They're just terrible at leadership. 233 00:13:00,440 --> 00:13:02,000 Speaker 1: I'll give you examples of that that's coming up in 234 00:13:02,000 --> 00:13:03,160 Speaker 1: the next hour. But I did want to get to 235 00:13:03,200 --> 00:13:04,680 Speaker 1: this when it comes to immigration. Now, I was impacting 236 00:13:04,720 --> 00:13:11,959 Speaker 1: southern California, Orange County businesses reporting serious economic pain that's 237 00:13:12,000 --> 00:13:16,600 Speaker 1: been linked to intensified federal immigration enforcement and to tariff pressures. 238 00:13:16,600 --> 00:13:20,880 Speaker 1: I was reading the uh it's Silicon Valley dot com. 239 00:13:21,000 --> 00:13:23,520 Speaker 1: It's it's actually a survey that was done of southern 240 00:13:23,559 --> 00:13:27,160 Speaker 1: California business owners, specifically in Orange County, and they're just 241 00:13:27,200 --> 00:13:29,960 Speaker 1: talking about how it is it is hurting the OC 242 00:13:30,200 --> 00:13:34,240 Speaker 1: business community. So you see Airvine researchers found that many 243 00:13:34,280 --> 00:13:38,240 Speaker 1: OC businesses are reporting sharp drops in foot traffic and 244 00:13:38,559 --> 00:13:43,439 Speaker 1: sales following the recent ice enforcement actions. Businesses said the 245 00:13:43,480 --> 00:13:46,439 Speaker 1: customers are staying home out of fear, even when enforcement 246 00:13:46,559 --> 00:13:50,480 Speaker 1: is not targeting the businesses themselves. So this this goes 247 00:13:50,520 --> 00:13:53,320 Speaker 1: back to that economic argument when we talk about immigration 248 00:13:53,360 --> 00:13:56,920 Speaker 1: in the United States, that if you eliminate it, and 249 00:13:57,000 --> 00:13:59,480 Speaker 1: I know what you're will do it legally, it's fine. 250 00:14:00,000 --> 00:14:01,240 Speaker 1: But I think we can all admit too that the 251 00:14:01,400 --> 00:14:05,320 Speaker 1: immigration system is not exactly a user friendly, all right. 252 00:14:05,880 --> 00:14:09,600 Speaker 1: And what we're finding is that when you keep people 253 00:14:09,640 --> 00:14:13,280 Speaker 1: in the shadows, when people are afraid to come out 254 00:14:13,320 --> 00:14:17,520 Speaker 1: in the light of day, it has an impact on 255 00:14:17,720 --> 00:14:20,440 Speaker 1: more than just their families and more than just their livelihoods. 256 00:14:20,440 --> 00:14:22,920 Speaker 1: It has an impact on everyone. Employers are reporting labor 257 00:14:22,960 --> 00:14:28,720 Speaker 1: shortages and absenteeism, and especially in those very stereotypical immigrant 258 00:14:28,920 --> 00:14:33,760 Speaker 1: jobs construction, hospitality, food service, and on the farms. So 259 00:14:34,000 --> 00:14:37,880 Speaker 1: researchers say that the county, talking about Orange County here, 260 00:14:38,320 --> 00:14:41,240 Speaker 1: has lost tens of millions of dollars in economic activity 261 00:14:41,480 --> 00:14:43,920 Speaker 1: over a matter of weeks, including reduced customer spending and 262 00:14:44,160 --> 00:14:49,120 Speaker 1: sales tax revenue. They also cite tariffs raising supply costs, 263 00:14:49,600 --> 00:14:51,600 Speaker 1: and that's all at the same time. So you've got 264 00:14:52,160 --> 00:14:54,880 Speaker 1: it costs more to do business, you have fewer customers, 265 00:14:55,320 --> 00:14:59,280 Speaker 1: and it's just turning into a I don't want to 266 00:14:59,440 --> 00:15:02,240 Speaker 1: say a perfect storm, but it's a storm. It's an 267 00:15:02,280 --> 00:15:06,080 Speaker 1: economic storm. There's a storm a bruin and I don't 268 00:15:06,120 --> 00:15:09,400 Speaker 1: think that storm is going away anytime soon. I just 269 00:15:09,440 --> 00:15:12,520 Speaker 1: don't to I don't see that happening. What will be 270 00:15:12,600 --> 00:15:15,160 Speaker 1: interesting and we'll dive into this a little bit deeper 271 00:15:15,280 --> 00:15:19,360 Speaker 1: in the five o'clock hour. Is the is gonna be 272 00:15:19,360 --> 00:15:22,960 Speaker 1: the political fallout? I mean, I told you a second ago. Democrats, 273 00:15:23,520 --> 00:15:27,680 Speaker 1: they they they are gonna blow this like they are 274 00:15:27,760 --> 00:15:30,480 Speaker 1: in a position where they they should be saying, Wow, 275 00:15:30,600 --> 00:15:32,840 Speaker 1: we have a real opportunity to win some elections and 276 00:15:32,920 --> 00:15:34,720 Speaker 1: to bring people to our site. They'll screw it up 277 00:15:35,320 --> 00:15:37,400 Speaker 1: and you're gonna find out why. But some of them 278 00:15:37,440 --> 00:15:39,920 Speaker 1: are gonna win in spite of their own best efforts 279 00:15:39,960 --> 00:15:42,600 Speaker 1: to shoot themselves in the foot and I'll tell you, 280 00:15:42,800 --> 00:15:44,680 Speaker 1: I'll tell you what. That's what's going on with them 281 00:15:45,240 --> 00:15:48,400 Speaker 1: again after the five o'clock hour, shifting from ice enforcement 282 00:15:48,480 --> 00:15:50,240 Speaker 1: to the other stories that keep the men and women 283 00:15:50,320 --> 00:15:52,600 Speaker 1: in badges busy. Let's not forget the shenanigans that they 284 00:15:52,640 --> 00:15:55,400 Speaker 1: face every day, the lawmakers, the law breakers, the times 285 00:15:55,440 --> 00:15:57,680 Speaker 1: that there ought to be a law, including police chase 286 00:15:57,720 --> 00:16:01,480 Speaker 1: has gone wrong, and gold medal cares. That's next. Chris 287 00:16:01,560 --> 00:16:04,760 Speaker 1: Merril I AM six forty Live Everywhere on the iHeartRadio app. 288 00:16:05,400 --> 00:16:11,240 Speaker 1: You're listening to KFI AM six forty on demand, you'll 289 00:16:11,240 --> 00:16:14,360 Speaker 1: be able to find tonight's program in the featured segments 290 00:16:14,400 --> 00:16:20,120 Speaker 1: podcast Featured Featured Segments, Featured podcast Featured It's out of 291 00:16:20,160 --> 00:16:24,720 Speaker 1: the website. Under the featured segments for the podcast, there 292 00:16:24,760 --> 00:16:27,200 Speaker 1: you go every week, the lawmakers, the lawbreakers, and the 293 00:16:27,240 --> 00:16:35,680 Speaker 1: times that there ought to be a law. We'll start 294 00:16:35,720 --> 00:16:38,520 Speaker 1: with the Olympics. You're home for the twenty twenty eight Olympics. 295 00:16:38,560 --> 00:16:43,000 Speaker 1: Of course, here one guy who's quite familiar with the 296 00:16:43,040 --> 00:16:46,200 Speaker 1: Olympics is now going to be quite familiar with the handcuffs. 297 00:16:47,160 --> 00:16:51,840 Speaker 1: FBI fugitive Ryan Wedding has been captured ABC seven with 298 00:16:51,920 --> 00:16:52,480 Speaker 1: the story. 299 00:16:52,360 --> 00:16:56,800 Speaker 4: He's the former Canadian Olympic snowboarder now allegedly the head 300 00:16:56,880 --> 00:16:59,120 Speaker 4: of a billion dollar cocaine operation. 301 00:16:59,480 --> 00:17:01,880 Speaker 1: Still snowboarding if you really think about it. 302 00:17:02,080 --> 00:17:05,760 Speaker 4: Ryan Wedding, on the FBI's ten most wanted list, now 303 00:17:06,080 --> 00:17:09,800 Speaker 4: in custody, the FBI saying he surrendered in Mexico City 304 00:17:09,960 --> 00:17:13,880 Speaker 4: last night after weeks of high stakes negotiations. 305 00:17:14,359 --> 00:17:17,000 Speaker 5: He went from an Olympic snowboarder to the largest narco 306 00:17:17,119 --> 00:17:18,399 Speaker 5: trafficker in modern times. 307 00:17:18,480 --> 00:17:20,399 Speaker 1: He is a modern day El Chapo. 308 00:17:20,680 --> 00:17:22,600 Speaker 4: He is a modern day Pablo Escobar. 309 00:17:22,640 --> 00:17:25,000 Speaker 1: Exactly are we defining modern day? 310 00:17:26,480 --> 00:17:27,080 Speaker 4: It used to be like? 311 00:17:27,200 --> 00:17:31,040 Speaker 1: After World War Two? Was modern day. In fact, some 312 00:17:31,119 --> 00:17:34,520 Speaker 1: people say, like, since the invention of electricity is modern day, 313 00:17:34,840 --> 00:17:39,239 Speaker 1: we we just literally pointed out a guy who's been 314 00:17:39,280 --> 00:17:42,040 Speaker 1: in custody for like five years. We're like, oh, that 315 00:17:42,240 --> 00:17:45,760 Speaker 1: was a long time ago. That was whoo, those are 316 00:17:45,800 --> 00:17:50,359 Speaker 1: the ancient times, all right. Back to the guy who 317 00:17:50,400 --> 00:17:51,000 Speaker 1: loves the powder. 318 00:17:51,119 --> 00:17:53,840 Speaker 4: The FBI says Wedding and others are charged for their 319 00:17:53,960 --> 00:17:58,320 Speaker 4: roles in a transnational organized crime network shipping about sixty 320 00:17:58,480 --> 00:18:01,159 Speaker 4: metric tons of cocaine across the border. 321 00:18:01,640 --> 00:18:06,800 Speaker 1: Metric tons always threw me too. Metric doesn't feel like 322 00:18:07,200 --> 00:18:10,720 Speaker 1: but tons, feels like that's ours. You can't have metric tons. 323 00:18:11,520 --> 00:18:15,560 Speaker 1: That's not fair. But is that two thousand kilograms? Is 324 00:18:15,640 --> 00:18:22,200 Speaker 1: that one ton in pounds? But you've converted it to metrics. 325 00:18:22,280 --> 00:18:25,560 Speaker 1: It doesn't make any don't do that. It's like, oh, 326 00:18:26,400 --> 00:18:30,960 Speaker 1: they ran almost twenty seven kilometer miles. 327 00:18:31,119 --> 00:18:34,600 Speaker 4: Now through southern California then up to Canada. 328 00:18:34,760 --> 00:18:38,840 Speaker 6: Together, we have disrupted a major narcotics pipeline. 329 00:18:38,760 --> 00:18:41,960 Speaker 1: Or at least a half pipe line, get it, half 330 00:18:42,040 --> 00:18:48,240 Speaker 1: pipe snowboarding pipeline. Okay, back to the story impacting Los Angeles, 331 00:18:48,520 --> 00:18:50,320 Speaker 1: the United States, and Canada. 332 00:18:50,680 --> 00:18:55,800 Speaker 7: Ryan Wedding tormented several people and several families that will 333 00:18:55,840 --> 00:18:59,439 Speaker 7: never be the same, But today they get the justice that. 334 00:18:59,520 --> 00:19:03,000 Speaker 4: They saw authorities showing a united front this morning and 335 00:19:03,200 --> 00:19:07,159 Speaker 4: solidarity with the United States neighbors both north and south. 336 00:19:07,440 --> 00:19:10,760 Speaker 7: It goes without saying that no single agency or nation 337 00:19:11,320 --> 00:19:14,679 Speaker 7: can combat transnational organized crime alone. We've worked with our 338 00:19:14,760 --> 00:19:18,760 Speaker 7: Canadian partners, our Mexican partners, our partners in Colombia and 339 00:19:18,880 --> 00:19:22,880 Speaker 7: the Dominican Republic. We've seen mountain of drugs, cash weapons 340 00:19:23,440 --> 00:19:27,639 Speaker 7: with these dozens of motorcycles worth approximately forty million dollars. 341 00:19:28,359 --> 00:19:32,959 Speaker 1: Wait wait, what hey, god, you see dozens hang out 342 00:19:32,960 --> 00:19:34,600 Speaker 1: it's play there again, player again. 343 00:19:34,960 --> 00:19:39,159 Speaker 7: With these dozens of motorcycles worth approximately forty million dollars. 344 00:19:39,720 --> 00:19:42,320 Speaker 1: So you're telling me that each motorcycle was worth like 345 00:19:42,400 --> 00:19:43,880 Speaker 1: two three million dollars? 346 00:19:45,440 --> 00:19:45,680 Speaker 2: Yeah? 347 00:19:46,400 --> 00:19:46,720 Speaker 1: Or was it? 348 00:19:47,720 --> 00:19:48,600 Speaker 7: Was it? Not? No? 349 00:19:48,800 --> 00:19:51,560 Speaker 1: Because you seize the drugs and you seize the it 350 00:19:52,000 --> 00:19:54,680 Speaker 1: and then you see the motorcycles worth forty million. It'd 351 00:19:54,680 --> 00:19:57,080 Speaker 1: be one thing if he sees motorcycles that were packed 352 00:19:57,160 --> 00:19:59,399 Speaker 1: with you know, cocaine and the gas tanks and the 353 00:19:59,640 --> 00:20:01,960 Speaker 1: tire and things like that. But is that what he said? 354 00:20:01,960 --> 00:20:04,640 Speaker 1: Because he already counted the he already counted the drugs 355 00:20:04,720 --> 00:20:08,320 Speaker 1: and now he's counting the Nah, it's double dipping either that. 356 00:20:08,480 --> 00:20:11,360 Speaker 1: There's some of that cop math where it's like, oh, 357 00:20:11,520 --> 00:20:14,359 Speaker 1: this person had a they had a they had a 358 00:20:15,760 --> 00:20:20,040 Speaker 1: tiny little baby spoon full of heroin. It was enough 359 00:20:20,160 --> 00:20:24,640 Speaker 1: to kill seven hundred billion people and other valuable artwork 360 00:20:25,280 --> 00:20:27,080 Speaker 1: and jewelry. All right, So they got the guy. He's 361 00:20:27,119 --> 00:20:29,480 Speaker 1: off the street. He will not be in the powder, 362 00:20:30,720 --> 00:20:34,280 Speaker 1: he will not be in the half pipeline, he will 363 00:20:34,800 --> 00:20:38,040 Speaker 1: not be buried in the snow where he's just right themselves, 364 00:20:38,119 --> 00:20:42,080 Speaker 1: don't they. Oh, that's just listen. This is the kind 365 00:20:42,119 --> 00:20:48,320 Speaker 1: of this is the kind of hilarity in topical news 366 00:20:48,400 --> 00:20:54,040 Speaker 1: events that normally you'd you'd have to pay for and 367 00:20:54,119 --> 00:20:56,360 Speaker 1: then demand a refund, which is totally fair. 368 00:20:57,000 --> 00:20:57,320 Speaker 2: All right. 369 00:20:57,680 --> 00:21:01,680 Speaker 1: Next up, how about this we had We had smashing 370 00:21:01,720 --> 00:21:06,120 Speaker 1: grabs turning into police chases turning into smashings. Uh yeah, 371 00:21:06,160 --> 00:21:09,280 Speaker 1: I love this from ABC seven Reaking News at four pm. 372 00:21:09,560 --> 00:21:13,479 Speaker 1: Several pursued crashes after apparent smashing grab at a business 373 00:21:13,720 --> 00:21:16,200 Speaker 1: in Orange County. Chris Christy is live in Air seven 374 00:21:16,240 --> 00:21:19,080 Speaker 1: with those details. Chris, I love when we do news 375 00:21:19,160 --> 00:21:22,159 Speaker 1: reports from the helicopter. Not when it's just like traffic 376 00:21:22,280 --> 00:21:24,160 Speaker 1: or whatever, when it's the news report from these an't 377 00:21:24,160 --> 00:21:29,119 Speaker 1: my favorites. I love this the sound, the you know, 378 00:21:29,280 --> 00:21:33,600 Speaker 1: the helicopter, the headsets audio. I love this. This is great. 379 00:21:33,720 --> 00:21:33,920 Speaker 8: Yeah. 380 00:21:34,119 --> 00:21:36,760 Speaker 5: Wild crashing here, Jovanni, you're taking a live look at 381 00:21:36,800 --> 00:21:40,000 Speaker 5: East ana Canyon Road. You are not because of radio 382 00:21:40,200 --> 00:21:43,000 Speaker 5: at the ninety freeway here in Anaheim Hills, where in 383 00:21:43,160 --> 00:21:46,639 Speaker 5: suv within the hour slammed into this classic jewelry store 384 00:21:47,080 --> 00:21:50,360 Speaker 5: and robbed the place. Police showing up here to find 385 00:21:50,400 --> 00:21:54,120 Speaker 5: suspects running in two separate getaway vehicles, both of which 386 00:21:54,160 --> 00:21:56,719 Speaker 5: were pursued into the city of Fullerton. We have one 387 00:21:56,760 --> 00:21:59,800 Speaker 5: of those crashings as those suspects crashed at this several 388 00:22:00,040 --> 00:22:02,960 Speaker 5: other vehicles at Orangethorp and Lemon Street. You can see 389 00:22:03,000 --> 00:22:05,280 Speaker 5: one person being treated on the scene there. There were 390 00:22:05,400 --> 00:22:08,520 Speaker 5: several injuries were told none were life threatening. And a 391 00:22:08,680 --> 00:22:13,400 Speaker 5: separate scene over on Euclid and Malvern where suspects dump 392 00:22:13,440 --> 00:22:15,600 Speaker 5: the vehicle and while a're running forward there where police 393 00:22:15,600 --> 00:22:19,399 Speaker 5: are looking for additional jewelry store suspects. From here in 394 00:22:19,440 --> 00:22:22,159 Speaker 5: Anaheim Hills, of course, a major story we will continue 395 00:22:22,200 --> 00:22:23,959 Speaker 5: to follow a reporting live from ARE seven on Chris 396 00:22:24,040 --> 00:22:25,880 Speaker 5: Christy ABC seven. I which news. 397 00:22:26,040 --> 00:22:26,240 Speaker 8: God. 398 00:22:26,320 --> 00:22:28,320 Speaker 1: I love that the audio dip out a little bit 399 00:22:28,359 --> 00:22:30,280 Speaker 1: at the end. That's just because he's in the helicopter. 400 00:22:31,840 --> 00:22:36,040 Speaker 1: I love that. That is so good classic and Chris 401 00:22:36,119 --> 00:22:38,600 Speaker 1: Christy does a great job too. I like it so 402 00:22:38,880 --> 00:22:41,040 Speaker 1: a bit ironic. So they do a smash and grab, 403 00:22:41,160 --> 00:22:43,080 Speaker 1: only in this case, it's not just like we've seen 404 00:22:43,080 --> 00:22:44,600 Speaker 1: another videos where they run into the store and then 405 00:22:44,640 --> 00:22:46,880 Speaker 1: they break the jewelry case and they still look crap 406 00:22:46,920 --> 00:22:50,320 Speaker 1: and run. Now it's smashes and we're gonna drive this 407 00:22:50,520 --> 00:22:54,600 Speaker 1: suv into the store smash out everything, right, and then 408 00:22:54,600 --> 00:22:57,240 Speaker 1: they gramble it and you have to wonder did they 409 00:22:57,320 --> 00:22:59,320 Speaker 1: have getaway vehicles ready to go, because it sounds like 410 00:22:59,359 --> 00:23:03,560 Speaker 1: they did. So they had two getaway vehicles already set, 411 00:23:04,400 --> 00:23:06,760 Speaker 1: so they knew we're gonna smash this one into the 412 00:23:06,840 --> 00:23:10,119 Speaker 1: jewelry store and leave it, and the plan is to 413 00:23:10,160 --> 00:23:11,920 Speaker 1: get out and then get into these other cars and 414 00:23:12,000 --> 00:23:14,560 Speaker 1: then take off, and then ironically one of them then 415 00:23:14,680 --> 00:23:19,760 Speaker 1: gets smashed as well, the others getting away. I'll tell 416 00:23:19,760 --> 00:23:21,680 Speaker 1: you what these are the kind of criminals that you know, 417 00:23:22,240 --> 00:23:24,640 Speaker 1: usually criminals are just idiots. But these kind of criminals, 418 00:23:25,040 --> 00:23:27,840 Speaker 1: it's like they've been watching a few movies, a little 419 00:23:27,840 --> 00:23:30,440 Speaker 1: bit of a study guide going on there, like, Okay, 420 00:23:31,080 --> 00:23:34,320 Speaker 1: don't try to don't try to back the suv out 421 00:23:34,440 --> 00:23:36,440 Speaker 1: and try to get away in that. No, you're using 422 00:23:36,480 --> 00:23:38,560 Speaker 1: that as a battering ram. Then you abandon it. Okay, 423 00:23:38,560 --> 00:23:42,200 Speaker 1: everybody cool with the plan. We're leaving the suv and 424 00:23:42,320 --> 00:23:48,720 Speaker 1: then baby drivers standing by. Eh, they're getting smarter. 425 00:23:48,840 --> 00:23:48,959 Speaker 7: Man. 426 00:23:49,000 --> 00:23:50,760 Speaker 1: I don't know. Maybe they're using AI and they're like, 427 00:23:50,960 --> 00:23:57,840 Speaker 1: dear AI, help us plan the perfect heist. Yep. Now 428 00:23:58,359 --> 00:24:01,240 Speaker 1: I don't know that AI could, but I mean that's 429 00:24:01,280 --> 00:24:04,679 Speaker 1: to start. Criminals. If you're listening, time to wise up, 430 00:24:05,280 --> 00:24:07,320 Speaker 1: cause you're gonna lose your You're gonna lose your easy 431 00:24:07,359 --> 00:24:09,679 Speaker 1: targets because AI is gonna make everybody a better criminal, 432 00:24:10,280 --> 00:24:15,879 Speaker 1: So you better step up your game. Uh being excuse you? 433 00:24:16,080 --> 00:24:19,240 Speaker 1: Here we go. Imagine yeah, I wrote this. Imagine being 434 00:24:19,320 --> 00:24:21,520 Speaker 1: in the path of this massive storm that's sitting in 435 00:24:21,520 --> 00:24:24,000 Speaker 1: the US. You're steering at empty shelves, Milk is gone, 436 00:24:24,040 --> 00:24:27,240 Speaker 1: bread has gone. Someone panic bought all the bottled water, 437 00:24:27,640 --> 00:24:30,880 Speaker 1: and your brain is turning the storm into a survival test. 438 00:24:31,040 --> 00:24:33,840 Speaker 1: Why it's doing that. It's not just because you're messed up. 439 00:24:33,880 --> 00:24:36,040 Speaker 1: That's next Chris Merril k if I AM six forty 440 00:24:36,119 --> 00:24:40,920 Speaker 1: live everywhere in the iHeartRadio app. You're listening to KFI 441 00:24:41,160 --> 00:24:49,840 Speaker 1: AM six forty on demand. I'm Chris Merrill on demand 442 00:24:49,880 --> 00:24:53,160 Speaker 1: anytime iHeart Radio apps. Still to come, we'll talk about 443 00:24:53,160 --> 00:24:58,280 Speaker 1: the ice tensions boiling in Minneapolis and uh here actually 444 00:24:58,480 --> 00:24:59,920 Speaker 1: we're getting a we're getting a little bit of a 445 00:25:00,040 --> 00:25:03,200 Speaker 1: uh blowback locally, so that is coming up here after 446 00:25:04,359 --> 00:25:06,520 Speaker 1: after you look at your news at five o'clock, so 447 00:25:06,680 --> 00:25:09,760 Speaker 1: straight ahead here. Uh the other story that was going 448 00:25:09,800 --> 00:25:11,639 Speaker 1: on all week By the way, did you realize that 449 00:25:12,320 --> 00:25:14,920 Speaker 1: it's only been like four days since we stopped arguing 450 00:25:14,960 --> 00:25:17,440 Speaker 1: over whether or not we're gonna have war in greenlandh 451 00:25:19,359 --> 00:25:22,639 Speaker 1: news moves fast, moves fast. Anyway, it looked like the 452 00:25:22,640 --> 00:25:26,000 Speaker 1: big story this weekend was gonna be the storm across 453 00:25:26,480 --> 00:25:28,200 Speaker 1: so much of the United States, like two thirds of 454 00:25:28,240 --> 00:25:31,560 Speaker 1: the country. The population anyway, is supposed to be in 455 00:25:31,640 --> 00:25:33,560 Speaker 1: this massive storm. 456 00:25:34,640 --> 00:25:35,040 Speaker 4: Not US. 457 00:25:36,040 --> 00:25:41,120 Speaker 1: I know, because that's why we live here, right, So yeah, 458 00:25:41,160 --> 00:25:43,560 Speaker 1: I know. We get we get wildfires, we get mudslides, 459 00:25:43,600 --> 00:25:45,840 Speaker 1: we get the floods, all that other stuff. But we 460 00:25:45,920 --> 00:25:48,119 Speaker 1: don't get blizzards and we don't get trees snapping in 461 00:25:48,160 --> 00:25:51,920 Speaker 1: the ice, at least unless you're in the mountains. So 462 00:25:52,040 --> 00:25:54,640 Speaker 1: this is what's going on here. You have this big 463 00:25:54,720 --> 00:26:00,760 Speaker 1: dumb storm crushing across a whole lot of the the nation. 464 00:26:01,840 --> 00:26:03,760 Speaker 1: In fact, the news nation was talking about it. 465 00:26:04,040 --> 00:26:07,000 Speaker 8: This is an expansive storm system. The precipitation associate with 466 00:26:07,080 --> 00:26:08,160 Speaker 8: it crossing about field? 467 00:26:08,400 --> 00:26:08,560 Speaker 3: Was that? 468 00:26:08,800 --> 00:26:12,560 Speaker 1: Did the weather guy just swear he said the precipitation 469 00:26:12,760 --> 00:26:16,800 Speaker 1: was so crappy? Yeah, let's listen again. 470 00:26:16,840 --> 00:26:19,160 Speaker 8: It precipitation associate with it a cross Okay. 471 00:26:19,400 --> 00:26:22,720 Speaker 1: I can hear the unfiltered audio, you know, the unbleeped audio. 472 00:26:23,480 --> 00:26:25,760 Speaker 1: I don't think he meant to say that the precipitation 473 00:26:25,960 --> 00:26:29,760 Speaker 1: was so spitty, but he did. It's kind of it's 474 00:26:29,760 --> 00:26:32,560 Speaker 1: the way it came out. Yeah, And so I think, Kayla, 475 00:26:32,640 --> 00:26:34,520 Speaker 1: in the interest of keeping our jobs, we'll just leave 476 00:26:34,560 --> 00:26:35,680 Speaker 1: that when bleeped cool. 477 00:26:36,800 --> 00:26:40,560 Speaker 8: Excellent tipitation associate with it crossing about fifteen hundred miles. 478 00:26:40,760 --> 00:26:43,360 Speaker 8: Of course, as Alicia mentioned, we have that snow coming 479 00:26:43,440 --> 00:26:46,080 Speaker 8: down for the past couple hours in New York City already, 480 00:26:46,280 --> 00:26:49,080 Speaker 8: and that's only going to expanding coverage and intensity as 481 00:26:49,119 --> 00:26:50,080 Speaker 8: we head through the morning. 482 00:26:50,280 --> 00:26:52,199 Speaker 1: Oh my gosh. If you ever want to see an 483 00:26:52,240 --> 00:26:57,080 Speaker 1: example of East Coast news bias, it's when the weather hits. 484 00:26:57,960 --> 00:27:00,240 Speaker 1: It is the I mean, everything I was watching today 485 00:27:00,359 --> 00:27:03,120 Speaker 1: was just what's happening in New York? What's going out 486 00:27:03,160 --> 00:27:06,400 Speaker 1: in New York? New Yorkers under the snow, New Yorkers 487 00:27:06,480 --> 00:27:13,640 Speaker 1: trying to sled, New Yorkers drive cars? What stop it? Meanwhile, 488 00:27:13,720 --> 00:27:19,200 Speaker 1: you've got Texas is without power, Arkansas trees are icing 489 00:27:19,280 --> 00:27:22,239 Speaker 1: over and snapping great videos all over the innerwebs, by 490 00:27:22,240 --> 00:27:25,560 Speaker 1: the way, and they're like, yes, but in New York, 491 00:27:25,680 --> 00:27:28,479 Speaker 1: your hot dog may get cold in under three minutes. 492 00:27:29,600 --> 00:27:30,199 Speaker 1: It's crazy. 493 00:27:30,600 --> 00:27:32,520 Speaker 8: Down south is where we see that freezing rain and 494 00:27:32,560 --> 00:27:34,960 Speaker 8: sleep mix that's going to mix in with the snow 495 00:27:35,240 --> 00:27:40,119 Speaker 8: across the mid Atlantic, like you in the Big Apple outwards, Philly, Washington, 496 00:27:40,160 --> 00:27:41,359 Speaker 8: DC gonna see that changeover. 497 00:27:41,760 --> 00:27:44,120 Speaker 1: Even when he was talking about this stuff in the South, 498 00:27:44,200 --> 00:27:45,639 Speaker 1: he brought it back to what's going to happen in 499 00:27:45,720 --> 00:27:49,000 Speaker 1: New York. It's, well, it's enter the South. They've got 500 00:27:49,119 --> 00:27:51,160 Speaker 1: this and this and this and that's what the Big 501 00:27:51,200 --> 00:27:54,760 Speaker 1: Apple is going to see in DC and such oh, 502 00:27:54,920 --> 00:27:55,240 Speaker 1: come on. 503 00:27:55,840 --> 00:27:57,440 Speaker 8: And I also want to point out, if we go 504 00:27:57,560 --> 00:27:59,240 Speaker 8: back to the other graphic for a moment, I'm going 505 00:27:59,320 --> 00:28:01,320 Speaker 8: to advance through them. I want to point out on 506 00:28:01,359 --> 00:28:04,000 Speaker 8: the other graphics that we actually have some thunder sleet, yes, 507 00:28:04,359 --> 00:28:07,680 Speaker 8: over the lower Mississippi Valley, lots of lightning strikes associated there, 508 00:28:07,880 --> 00:28:10,639 Speaker 8: and that's the coverage that's going to move northward too. 509 00:28:10,800 --> 00:28:14,720 Speaker 1: Yeah, again, thunder sleeve the Mississippi Valley, but that's what's 510 00:28:14,800 --> 00:28:17,000 Speaker 1: going to happen in New York. So look out, New York, 511 00:28:17,040 --> 00:28:21,160 Speaker 1: thunder sleet is coming. How about you? But what about 512 00:28:21,200 --> 00:28:26,359 Speaker 1: the people in the Mississippi Valley? Hey, how are they doing? Unbelievable? 513 00:28:27,119 --> 00:28:32,000 Speaker 1: It's unreal. Meanwhile, all the decent news organizations are like, 514 00:28:32,080 --> 00:28:36,480 Speaker 1: how do we make this massive national story local? I mean, 515 00:28:36,520 --> 00:28:41,320 Speaker 1: after all, we're not facing that right, So they go, 516 00:28:41,520 --> 00:28:43,920 Speaker 1: how do we make this so that it has an 517 00:28:43,960 --> 00:28:50,920 Speaker 1: appeal to you know, your relationship with southern California. It's 518 00:28:50,920 --> 00:28:52,280 Speaker 1: what are we doing? News? They say, Oh, you know, 519 00:28:52,680 --> 00:28:56,000 Speaker 1: it's got to localize everything. And so when it comes 520 00:28:56,080 --> 00:28:58,760 Speaker 1: to stories like this, the first thing they. 521 00:28:58,760 --> 00:29:03,440 Speaker 6: Do is say to the airport, clear skies at Lax, 522 00:29:03,600 --> 00:29:05,240 Speaker 6: But chaos in the air. 523 00:29:05,640 --> 00:29:08,600 Speaker 1: Well, that's a lead. Nice job. It's KTLA. By the way, 524 00:29:08,720 --> 00:29:11,880 Speaker 1: is that lax with clear skies? But something in the 525 00:29:11,960 --> 00:29:12,560 Speaker 1: air whoa. 526 00:29:13,440 --> 00:29:17,000 Speaker 6: As a massive winter storm sweeps across the country, causing 527 00:29:17,160 --> 00:29:19,320 Speaker 6: major travel headaches here at home. 528 00:29:19,240 --> 00:29:20,800 Speaker 1: We feel like I might not get home today. I 529 00:29:20,800 --> 00:29:21,040 Speaker 1: don't know. 530 00:29:21,360 --> 00:29:24,400 Speaker 6: More than one hundred and sixty delays and nearly ninety 531 00:29:24,520 --> 00:29:28,800 Speaker 6: cancelations have been reported at LAX Saturday alone. The ones 532 00:29:28,840 --> 00:29:31,160 Speaker 6: that need to get home to family are freaking out 533 00:29:31,160 --> 00:29:34,120 Speaker 6: a little bit, but most of them are thinking that 534 00:29:34,280 --> 00:29:35,640 Speaker 6: there's worse places to be set. 535 00:29:35,760 --> 00:29:38,000 Speaker 1: Well, you're not kid neither. This is what if I 536 00:29:38,120 --> 00:29:42,240 Speaker 1: heard that there was a big storm coming. Let's say 537 00:29:42,240 --> 00:29:45,160 Speaker 1: that I'm that I'm living in the well obviously the 538 00:29:45,200 --> 00:29:47,080 Speaker 1: big apples where it's into the worst. Well, Let's say 539 00:29:47,080 --> 00:29:49,800 Speaker 1: that I'm living in the what do you say, the 540 00:29:49,840 --> 00:29:52,560 Speaker 1: Missouri River Valley. Let's say I'm living in that area 541 00:29:53,000 --> 00:29:54,760 Speaker 1: and I see that the storm is coming. I go, boss, 542 00:29:54,800 --> 00:29:57,560 Speaker 1: I'm taking a work trip to Los Angeles. The boss goes, okay, 543 00:29:57,600 --> 00:29:59,720 Speaker 1: we'll be back monday. AG. Well, you know I'm going 544 00:29:59,760 --> 00:30:04,560 Speaker 1: to try whye. But if my flight gets canceled. Yeah, 545 00:30:06,320 --> 00:30:09,960 Speaker 1: you've heard of people getting snowed in. My plan is 546 00:30:10,000 --> 00:30:12,640 Speaker 1: always to get snowed out. I would like to be 547 00:30:13,040 --> 00:30:15,840 Speaker 1: if I live in a snowy climate, I want to 548 00:30:15,920 --> 00:30:18,360 Speaker 1: make sure I don't have to come back during the storm. 549 00:30:18,920 --> 00:30:19,760 Speaker 1: That would be the plan. 550 00:30:20,440 --> 00:30:25,720 Speaker 6: Other southern California airports, including Burbank, John Wayne, Ontario, and 551 00:30:25,920 --> 00:30:30,120 Speaker 6: Long Beach are also seeing disruptions. That's because planes and 552 00:30:30,240 --> 00:30:33,280 Speaker 6: crews are stuck or slowed in parts of the country 553 00:30:33,400 --> 00:30:37,320 Speaker 6: dealing with heavy snow, ice, and record cold temperatures. 554 00:30:37,640 --> 00:30:40,720 Speaker 1: My flight looks good to go to Chicago, so I'm 555 00:30:40,800 --> 00:30:41,760 Speaker 1: just hoping and praying. 556 00:30:41,560 --> 00:30:42,240 Speaker 4: That I do make it. 557 00:30:42,440 --> 00:30:45,480 Speaker 6: According to flight Aware, more than forty four hundred flights 558 00:30:45,560 --> 00:30:50,440 Speaker 6: were canceled nationwide, and nearly ten thousand more are already 559 00:30:50,520 --> 00:30:54,040 Speaker 6: canceled for Sunday. The girls from Newark were delayed three hours, 560 00:30:54,840 --> 00:30:57,360 Speaker 6: So yeah, I just made it. The hardest hit airports 561 00:30:57,440 --> 00:31:00,880 Speaker 6: include Dallas Fort Worth, where more than seventy five percent 562 00:31:00,920 --> 00:31:05,880 Speaker 6: of departing flights were canceled, followed by Charlotte Douglass in Nashville. 563 00:31:06,360 --> 00:31:09,000 Speaker 7: It is making me never want to fly again. 564 00:31:09,280 --> 00:31:13,800 Speaker 6: That disruption feeds straight into hubs like lax delaying arrivals, 565 00:31:14,080 --> 00:31:18,480 Speaker 6: stranding crews, and throwing flight schedules off nationwide. 566 00:31:18,840 --> 00:31:20,280 Speaker 1: Yeah, and it's going to take like three or four 567 00:31:20,360 --> 00:31:23,600 Speaker 1: days to get everything straightened out. That's after the storm stop. 568 00:31:23,840 --> 00:31:27,160 Speaker 1: So maybe just settle in for a little while, go 569 00:31:27,240 --> 00:31:31,080 Speaker 1: to the beach, Just do that. Just see what Mickey's 570 00:31:31,120 --> 00:31:34,480 Speaker 1: doing right about now? All right, as you're watching the 571 00:31:34,520 --> 00:31:37,080 Speaker 1: drama unfold Minneapolis, can help but to notice the politicians 572 00:31:37,120 --> 00:31:39,600 Speaker 1: are fighting their own war of words. Polling shows the 573 00:31:39,600 --> 00:31:42,720 Speaker 1: administration is catching the most grief. But never underestimate a 574 00:31:42,920 --> 00:31:46,360 Speaker 1: democratic politicode to say something stupid and shoot themselves in 575 00:31:46,400 --> 00:31:48,600 Speaker 1: the foot. How they're going to blow their lead is 576 00:31:48,720 --> 00:31:51,640 Speaker 1: next Chris MERRILKFI AM six forty live everywhere in the 577 00:31:51,680 --> 00:31:56,160 Speaker 1: iHeartRadio app, KFI AM sixty on demand