1 00:00:01,280 --> 00:00:10,240 Speaker 1: What oh, what's going on? Proceeds John and Ken Show, 2 00:00:10,320 --> 00:00:13,160 Speaker 1: John Cobalt and Ken Shampoo. Ca if I am six 3 00:00:13,240 --> 00:00:16,360 Speaker 1: forty eight live everywhere on the iHeartRadio. Well on the 4 00:00:16,400 --> 00:00:19,040 Speaker 1: heels of a state of emergency for the city of 5 00:00:19,079 --> 00:00:22,680 Speaker 1: Los Angeles over a homelessness, right, mayor Bass first action, 6 00:00:22,800 --> 00:00:26,040 Speaker 1: first day. Yeah, we have another state of emergency from 7 00:00:26,040 --> 00:00:30,840 Speaker 1: dippity doo. It's over the rain. Oh no, please turn around, 8 00:00:30,960 --> 00:00:36,240 Speaker 1: don't drown. Do you know people are getting wet all 9 00:00:36,280 --> 00:00:40,279 Speaker 1: over the state. Oh, I saw so many wet people today. Horrible. 10 00:00:40,360 --> 00:00:44,800 Speaker 1: What's happening? The carnage? The Weather Services warning of rapid 11 00:00:44,920 --> 00:00:48,720 Speaker 1: rises and creeks, streams and rivers across the region. Dusty went, oh, 12 00:00:48,760 --> 00:00:51,000 Speaker 1: by the way, have we had somebody in one of 13 00:00:51,040 --> 00:00:55,920 Speaker 1: the drainage things like the La River yet swept away? Yeah? 14 00:00:56,320 --> 00:00:58,080 Speaker 1: He happens when we get a couple of days like 15 00:00:58,200 --> 00:01:00,800 Speaker 1: that's right, you usually said, helicopters out a rope ladder 16 00:01:00,840 --> 00:01:02,520 Speaker 1: and they try to get the guy to climb off 17 00:01:02,640 --> 00:01:07,000 Speaker 1: is raft And now a lot of it's north of us, 18 00:01:07,000 --> 00:01:10,039 Speaker 1: but we're gonna get I don't the Pineapple Express, the 19 00:01:10,080 --> 00:01:12,440 Speaker 1: Atmospheric River. Which one do you want here? They're throwing 20 00:01:12,480 --> 00:01:17,000 Speaker 1: them all. Tomorrow's storm will be the third atmosphic atmospheric 21 00:01:17,080 --> 00:01:20,759 Speaker 1: river that's hit California in the last two weeks. We 22 00:01:20,800 --> 00:01:23,360 Speaker 1: anticipate this be be one of the most challenging and 23 00:01:23,440 --> 00:01:26,520 Speaker 1: impactful series of storms to touchdown in California and the 24 00:01:26,600 --> 00:01:29,240 Speaker 1: last five years. It means you're going to get extra 25 00:01:29,319 --> 00:01:35,600 Speaker 1: wet if the storm materializes, as we anticipate widespread flooding, mudslides, 26 00:01:35,600 --> 00:01:38,720 Speaker 1: and power outages. And this comes from the Governor's Office 27 00:01:38,720 --> 00:01:43,560 Speaker 1: of Emergency Services. Wow. Now you know what's funny is 28 00:01:43,560 --> 00:01:45,640 Speaker 1: the people who are going to get harmed are the 29 00:01:45,640 --> 00:01:50,240 Speaker 1: ones We're living in the river and they're not a 30 00:01:50,240 --> 00:01:52,200 Speaker 1: good place to be. They don't have access to the 31 00:01:52,240 --> 00:01:56,280 Speaker 1: Governor's State of Emergency Twitter feed. Anywhere where there's storm 32 00:01:56,480 --> 00:02:00,000 Speaker 1: drain runoff, the water comes sweeping through. You shouldn't be down. 33 00:02:00,040 --> 00:02:02,600 Speaker 1: They're living you and I know that we're gonna you know, 34 00:02:02,760 --> 00:02:05,120 Speaker 1: go home and stay under the roof during the storm, right, 35 00:02:05,720 --> 00:02:08,560 Speaker 1: So I don't need the newsom to give me instructions 36 00:02:08,560 --> 00:02:11,200 Speaker 1: on what to do. I think my parents taught me 37 00:02:11,840 --> 00:02:14,040 Speaker 1: when I was a kid. It's like, when it's storming out, 38 00:02:14,080 --> 00:02:18,720 Speaker 1: go inside, dry off. Dusty winds are gonna bring trees 39 00:02:18,760 --> 00:02:22,360 Speaker 1: and branches down. Oh wow, and you have this cycle. 40 00:02:22,400 --> 00:02:24,480 Speaker 1: Oh I want to read this first because I knew 41 00:02:24,600 --> 00:02:27,840 Speaker 1: I remembered this, and I'm going to pull it up here. Okay, 42 00:02:28,040 --> 00:02:32,840 Speaker 1: this was posted a few months ago with lawnmia persisting. 43 00:02:33,960 --> 00:02:37,520 Speaker 1: NAA's winter forecast favors wet or weather in the Pacific 44 00:02:37,520 --> 00:02:42,079 Speaker 1: Northwest and other conditions in southern California. But northern California 45 00:02:42,120 --> 00:02:46,640 Speaker 1: and the Bay Area and southern California should expect actually 46 00:02:47,440 --> 00:02:53,880 Speaker 1: less precipitation from December to February, dryer conditions. Yes, yes, Oh, 47 00:02:54,000 --> 00:02:56,120 Speaker 1: that's what they predicted a few months ago. I remember 48 00:02:56,120 --> 00:02:59,280 Speaker 1: reading there was a Lunnia, belief was coming. Yes, And 49 00:02:59,800 --> 00:03:02,920 Speaker 1: I looked at up today and it was a ninety 50 00:03:03,080 --> 00:03:05,960 Speaker 1: one percent chance of a La Nina that we would 51 00:03:05,960 --> 00:03:12,680 Speaker 1: have a drier winter. Ninety one percent chance. They can't 52 00:03:12,720 --> 00:03:16,320 Speaker 1: predict even three months ahead what the general weather is 53 00:03:16,320 --> 00:03:19,560 Speaker 1: going to be, but alone specific weather on a specific day. 54 00:03:19,840 --> 00:03:22,919 Speaker 1: This is the crowd that preaches that they know what's 55 00:03:22,919 --> 00:03:24,919 Speaker 1: going to happen in a hundred ears for the weather right, 56 00:03:25,520 --> 00:03:31,519 Speaker 1: and instead chance of La Nina completely wrong. Near normal 57 00:03:31,600 --> 00:03:35,080 Speaker 1: precipitation expected in December twenty twenty two. Well, let's see, 58 00:03:35,120 --> 00:03:37,120 Speaker 1: I just read the other day that the snowpack is 59 00:03:37,160 --> 00:03:39,760 Speaker 1: the highest in a decade. Yeah, maybe even thirty or 60 00:03:39,760 --> 00:03:43,800 Speaker 1: forty years. But precipitation may dwindle to below normal levels 61 00:03:43,840 --> 00:03:47,240 Speaker 1: beginning in January. I know it's only the fourth but 62 00:03:47,600 --> 00:03:50,680 Speaker 1: did you look at next week's forecast? More rain, more rain. 63 00:03:50,920 --> 00:03:53,160 Speaker 1: It's like the ten day forecast is showing many rainy 64 00:03:53,240 --> 00:03:55,920 Speaker 1: days coming. Yeah, well, what do you know? They were 65 00:03:55,960 --> 00:04:00,240 Speaker 1: completely wrong again, like all the In fact, you know, 66 00:04:00,280 --> 00:04:03,240 Speaker 1: I've had the same for a couple of days. I 67 00:04:03,280 --> 00:04:06,800 Speaker 1: should go find it. Somebody published a list of all 68 00:04:06,800 --> 00:04:09,400 Speaker 1: the wrong predictions in twenty twenty two. It was heavily 69 00:04:09,440 --> 00:04:11,880 Speaker 1: focused on politics, but there were some other things in there, 70 00:04:11,920 --> 00:04:15,600 Speaker 1: and it was very funny, just so many experts and 71 00:04:15,800 --> 00:04:19,680 Speaker 1: government people and media people and pundits. Oh my god, 72 00:04:19,680 --> 00:04:23,760 Speaker 1: it was just dozens wrong predictions on everything. And I'm 73 00:04:23,760 --> 00:04:26,320 Speaker 1: reading this thing, and not that I particularly cared about 74 00:04:26,360 --> 00:04:28,280 Speaker 1: any of the predictions, but I was just laughing at 75 00:04:28,279 --> 00:04:31,000 Speaker 1: the stupidity of humanity. That there's a certain group of 76 00:04:31,000 --> 00:04:33,680 Speaker 1: people that fills the need to predict, and then there's 77 00:04:33,720 --> 00:04:37,479 Speaker 1: another group though, Oh, yes, that's what's going to happen. Really, Oh, 78 00:04:37,760 --> 00:04:42,280 Speaker 1: nobody knows anything. I have come up with a conclusion 79 00:04:42,839 --> 00:04:45,800 Speaker 1: when it comes to publications like they also gundo times, 80 00:04:46,160 --> 00:04:49,159 Speaker 1: they're trying to use weather, whatever that weather is, to 81 00:04:49,320 --> 00:04:51,760 Speaker 1: scare us. Yeah, because they believe we're not doing anything 82 00:04:51,800 --> 00:04:54,520 Speaker 1: about climate change. So if we're in the drought, quote, 83 00:04:54,760 --> 00:04:57,400 Speaker 1: they'll run stories day after day about the drought and 84 00:04:57,440 --> 00:04:59,599 Speaker 1: oh my god, the fires that are gonna come. Now 85 00:05:00,080 --> 00:05:02,800 Speaker 1: you look at the front page. Uh, significant winter store 86 00:05:02,880 --> 00:05:06,320 Speaker 1: moves in bringing high winds, flooding. My favorite was this one. 87 00:05:06,640 --> 00:05:11,120 Speaker 1: Here's how to prepare and stay safe. Open your door, 88 00:05:11,480 --> 00:05:15,839 Speaker 1: go inside. California's snowpack is far above average, but a 89 00:05:15,880 --> 00:05:19,200 Speaker 1: lot more is needed. What they're trying to do is 90 00:05:19,240 --> 00:05:23,160 Speaker 1: manipulate you, oh, into believing that all these extremes are 91 00:05:23,360 --> 00:05:26,760 Speaker 1: are dangerous right where no water or too much water, 92 00:05:27,040 --> 00:05:30,560 Speaker 1: and that's wrong. The only way to get clicks is 93 00:05:30,600 --> 00:05:34,359 Speaker 1: to create a climate of hysteria. And so that with 94 00:05:34,440 --> 00:05:37,240 Speaker 1: COVID didn't that's that's all a television and that's all 95 00:05:37,240 --> 00:05:39,640 Speaker 1: the Internet now, and even all what used to be 96 00:05:39,720 --> 00:05:43,359 Speaker 1: the mainstream media outlets that you trusted, they're now in 97 00:05:43,400 --> 00:05:45,440 Speaker 1: the hysteria business because they have no other way of 98 00:05:45,480 --> 00:05:48,000 Speaker 1: making money. How are they going to make money? It's impossible, 99 00:05:48,560 --> 00:05:50,359 Speaker 1: So they have to get you constantly going back and 100 00:05:50,400 --> 00:05:52,440 Speaker 1: going back, and what's gonna happen next? Which guy? Are 101 00:05:52,440 --> 00:05:54,880 Speaker 1: we all going to die today? That's it. But the 102 00:05:54,960 --> 00:05:59,120 Speaker 1: Times had a good one. This was ingenious. Uh that 103 00:05:59,720 --> 00:06:03,720 Speaker 1: the drought in the fires is gonna make the effects 104 00:06:03,760 --> 00:06:07,960 Speaker 1: of the rain even worse. Oh, because all the trees 105 00:06:08,000 --> 00:06:10,760 Speaker 1: that died in the fires, which came out of the drought, 106 00:06:11,440 --> 00:06:15,200 Speaker 1: those roots systems would normally soak up the water. Oh, 107 00:06:15,240 --> 00:06:17,600 Speaker 1: we're gonna have mud slides. And now yeah, right now 108 00:06:17,640 --> 00:06:20,920 Speaker 1: they don't exist. So the rain is gonna cause mudslides 109 00:06:21,000 --> 00:06:24,159 Speaker 1: created by the lack of trees, which was in turn 110 00:06:24,240 --> 00:06:27,559 Speaker 1: created by the terrible drought. And so we're all doomed 111 00:06:27,600 --> 00:06:31,040 Speaker 1: and we're all gonna die. My favorite is they run 112 00:06:31,080 --> 00:06:34,479 Speaker 1: a story like that, right because of the drought, because 113 00:06:34,520 --> 00:06:38,279 Speaker 1: everything was dry and nothing, nothing to soak up the water, 114 00:06:38,279 --> 00:06:40,520 Speaker 1: We're gonna have mud slides. Now they're gonna turn this around. 115 00:06:40,839 --> 00:06:43,320 Speaker 1: We get heavy rains, a lot of vegetation's gonna go. 116 00:06:43,400 --> 00:06:45,680 Speaker 1: All that vegetation's gonna burn. Next year when we have 117 00:06:46,000 --> 00:06:48,839 Speaker 1: sum that's the flip side they love. They take it 118 00:06:48,880 --> 00:06:50,919 Speaker 1: both ways and to give it to us both sides, 119 00:06:51,200 --> 00:06:53,960 Speaker 1: to keep us on the scare. And what's their ultimate goal. 120 00:06:54,400 --> 00:06:56,600 Speaker 1: You have to give up your gas powered car. Well, yeah, 121 00:06:56,600 --> 00:06:58,320 Speaker 1: that's gonna make the difference. You gotta turn off your 122 00:06:58,360 --> 00:07:01,599 Speaker 1: air conditioning, you gotta stop driving, you got to stop 123 00:07:01,680 --> 00:07:03,880 Speaker 1: using your washer and dryer, all the things they are 124 00:07:03,960 --> 00:07:08,720 Speaker 1: preaching yet airplane, that's right. Don't plug in your electric car. No, 125 00:07:09,600 --> 00:07:11,480 Speaker 1: come down to that too, that's right. Don't use the 126 00:07:11,520 --> 00:07:14,360 Speaker 1: gas powered car, and don't plug in your electric car. 127 00:07:14,920 --> 00:07:17,960 Speaker 1: Can't they spend their time making sure we collect all 128 00:07:17,960 --> 00:07:20,240 Speaker 1: this water? Right? We talk about this incessantly and I 129 00:07:20,240 --> 00:07:21,520 Speaker 1: don't want to spend a lot of time on it. 130 00:07:21,560 --> 00:07:27,960 Speaker 1: But seriously, dig a hole collect the water. Yeah, they 131 00:07:28,000 --> 00:07:33,080 Speaker 1: had a hydrologist do a column for them to did 132 00:07:33,120 --> 00:07:38,240 Speaker 1: you see it. He's a hydrogeologist and he says, yes, 133 00:07:38,880 --> 00:07:42,800 Speaker 1: there were. You can certainly use reservoirs to collect the water, 134 00:07:42,880 --> 00:07:45,040 Speaker 1: but you have to drain the reservoirs to be ready 135 00:07:45,040 --> 00:07:47,400 Speaker 1: for the next storm. So until the water just can't 136 00:07:47,400 --> 00:07:50,800 Speaker 1: sit there, you see, right, right, So well that build 137 00:07:50,920 --> 00:07:53,840 Speaker 1: whatever the infrastructure is Well, that's what he writes. Unless 138 00:07:53,840 --> 00:07:56,200 Speaker 1: there's another reservoir downstream, a lot of the water's going 139 00:07:56,200 --> 00:07:59,080 Speaker 1: to the ocean. Well, build another reservoir. Why don't we 140 00:07:59,120 --> 00:08:02,480 Speaker 1: adjusting a see what's happening. Maybe, and this is what 141 00:08:02,520 --> 00:08:05,440 Speaker 1: I'll concede, is that these weather patterns have become more 142 00:08:05,480 --> 00:08:08,640 Speaker 1: clumped together and extreme. So we may have a couple 143 00:08:08,640 --> 00:08:10,560 Speaker 1: of months here of just so much rain we can't 144 00:08:10,600 --> 00:08:12,760 Speaker 1: believe it, and then we can have a long period 145 00:08:12,880 --> 00:08:17,360 Speaker 1: of nothing dryness. Yeah, well, adapt and adjust. Don't panic 146 00:08:17,440 --> 00:08:21,760 Speaker 1: until people stop driving their damn car. I don't understand. Yeah, 147 00:08:21,800 --> 00:08:24,440 Speaker 1: and they've they've had collect this water. Find a way 148 00:08:24,440 --> 00:08:26,160 Speaker 1: you could have done this years ago, come up with 149 00:08:26,240 --> 00:08:28,920 Speaker 1: the projects to do this right at the corrupt and stupid, 150 00:08:28,920 --> 00:08:31,680 Speaker 1: and they don't do it. We have great tech minds 151 00:08:31,880 --> 00:08:34,880 Speaker 1: in the state of California. I list their help. I 152 00:08:34,920 --> 00:08:40,319 Speaker 1: think even ancient civilizations figured out how to collect water. Well, 153 00:08:40,840 --> 00:08:42,800 Speaker 1: maybe you want to be collecting your own collect your 154 00:08:42,880 --> 00:08:45,520 Speaker 1: rain water. I'm going to create my own reservoir in 155 00:08:45,559 --> 00:08:48,160 Speaker 1: the backyard. Remember we watched ed Bagley Junior do that. 156 00:08:48,320 --> 00:08:51,920 Speaker 1: We went to his house. Yeah, how did he had 157 00:08:51,920 --> 00:08:54,199 Speaker 1: a barrel? That's right, he had a barrel and he 158 00:08:54,200 --> 00:08:57,240 Speaker 1: would take the runoff from like the storm drains and 159 00:08:57,280 --> 00:09:01,280 Speaker 1: they in the rain barrels, and then he would use 160 00:09:01,320 --> 00:09:03,560 Speaker 1: that to what are his plants or whatever through any 161 00:09:03,559 --> 00:09:08,400 Speaker 1: other times. All right, when we come back, there's money. Yeah, 162 00:09:08,400 --> 00:09:10,760 Speaker 1: we're continuing to give away the possibility you could win 163 00:09:10,800 --> 00:09:14,280 Speaker 1: a thousand dollars. Listen for the keyword Johnny Ken KF 164 00:09:14,280 --> 00:09:17,040 Speaker 1: I Am six forty live everywhere the iHeartRadio app and 165 00:09:17,120 --> 00:09:19,200 Speaker 1: you can hear it every day now from one until four, 166 00:09:19,320 --> 00:09:21,640 Speaker 1: one until four, and then you go to the iHeart 167 00:09:21,640 --> 00:09:24,720 Speaker 1: app to listen to the podcast the whole show anytime 168 00:09:24,760 --> 00:09:27,280 Speaker 1: you want you go to you go to the iHeartRadio 169 00:09:27,320 --> 00:09:30,440 Speaker 1: app and then go to podcast and then type in 170 00:09:30,520 --> 00:09:32,920 Speaker 1: John and Ken on demand. That's the keyword John and 171 00:09:32,960 --> 00:09:35,800 Speaker 1: Ken on demand. All right. Reminder that the moistline is 172 00:09:35,960 --> 00:09:39,719 Speaker 1: coming back to the John and Ken Show on Friday, 173 00:09:39,960 --> 00:09:41,240 Speaker 1: So if you want to be a part of it, 174 00:09:41,280 --> 00:09:44,640 Speaker 1: use the iHeartRadio app the microphone icon to leave a message, 175 00:09:45,080 --> 00:09:47,959 Speaker 1: call the old toll free number one eight seven seven 176 00:09:48,040 --> 00:09:51,360 Speaker 1: Moist eighty six one eight seven seven six six four 177 00:09:51,640 --> 00:09:54,400 Speaker 1: seven eight eight six and then listen in Friday at 178 00:09:54,440 --> 00:09:57,360 Speaker 1: three twenty and three fifty to see if you're part 179 00:09:57,960 --> 00:10:01,920 Speaker 1: of this week's moistline call. Well, the person I'm going 180 00:10:01,960 --> 00:10:05,480 Speaker 1: to talk about now was big in the news before 181 00:10:05,480 --> 00:10:08,640 Speaker 1: the pandemic started. In fact, right before the pandemic hit, 182 00:10:09,000 --> 00:10:12,480 Speaker 1: it kind of wiped this story out of all media 183 00:10:12,559 --> 00:10:15,920 Speaker 1: coverage because of what happened around this time in the 184 00:10:16,000 --> 00:10:18,600 Speaker 1: year twenty twenty. And I'll tell you this about this 185 00:10:18,640 --> 00:10:21,280 Speaker 1: person now, who was apparently fairly wealthy but now lives 186 00:10:21,280 --> 00:10:26,000 Speaker 1: in a trailer park for senior citizens in Saint Petersburg, Florida, 187 00:10:26,080 --> 00:10:29,520 Speaker 1: and according to his lawyer, spends his day's exercising and 188 00:10:29,720 --> 00:10:35,120 Speaker 1: teaching paddle boarding to veterans and children with autism. His 189 00:10:35,240 --> 00:10:38,640 Speaker 1: lawyers wrote that we're talking about Rick Singer name ring 190 00:10:38,640 --> 00:10:43,160 Speaker 1: A Bell, the mastermind of the college admission scandal. And 191 00:10:43,240 --> 00:10:45,520 Speaker 1: he's in the news today because he got his sentence 192 00:10:46,160 --> 00:10:51,520 Speaker 1: of three years in prison along with ten million dollars 193 00:10:51,520 --> 00:10:54,760 Speaker 1: in restitution he has to pay for putting this all together. 194 00:10:55,120 --> 00:10:58,360 Speaker 1: He's now sixty two years old. And of course what 195 00:10:58,400 --> 00:11:03,040 Speaker 1: he did was he bribed college admissions people, coaches, he 196 00:11:03,200 --> 00:11:06,679 Speaker 1: rigged exams to get wealthy clients into some of the 197 00:11:06,679 --> 00:11:10,240 Speaker 1: best schools around the country. Most infamously, we talked a 198 00:11:10,240 --> 00:11:14,760 Speaker 1: lot about what happened at USC with the Lori Laughlin girls. 199 00:11:14,800 --> 00:11:18,760 Speaker 1: Remember that story, Yes, yeah, it does seem like a 200 00:11:18,800 --> 00:11:21,679 Speaker 1: long time ago. Boy he got a big break. This 201 00:11:21,760 --> 00:11:25,080 Speaker 1: is pretty much the big story of twenty nineteen. But 202 00:11:25,160 --> 00:11:28,400 Speaker 1: the US Probation Office had recommended a prison sentence of 203 00:11:28,480 --> 00:11:31,240 Speaker 1: six and a half to eight years. Three years and 204 00:11:31,400 --> 00:11:37,679 Speaker 1: six months. Yeah, he called himself a college admissions coach 205 00:11:38,000 --> 00:11:43,000 Speaker 1: or consultant or well. What helped him is he cooperated. 206 00:11:43,640 --> 00:11:47,719 Speaker 1: Once they got the goods on him. He started recording 207 00:11:48,280 --> 00:11:52,199 Speaker 1: his conversations with some of his clients so that they 208 00:11:52,200 --> 00:11:54,199 Speaker 1: could also be ensnared. But you know, I thought it 209 00:11:54,320 --> 00:11:55,960 Speaker 1: usually worked the other way. You're trying to get the 210 00:11:56,000 --> 00:11:59,400 Speaker 1: big culprit, which I had been singer who put this 211 00:11:59,440 --> 00:12:03,240 Speaker 1: all together. But because some of these people really welping 212 00:12:03,240 --> 00:12:05,400 Speaker 1: and famous, I think they wanted to know that they 213 00:12:06,440 --> 00:12:09,280 Speaker 1: the prosecutors always are going to go after the people 214 00:12:09,720 --> 00:12:12,920 Speaker 1: that will get them the biggest headline, make them famous, 215 00:12:13,000 --> 00:12:15,560 Speaker 1: make their careers. And if you get Laurie Laughlin and 216 00:12:15,760 --> 00:12:20,280 Speaker 1: Felicity Huffman, nice and some of these big businessmen that 217 00:12:20,360 --> 00:12:23,880 Speaker 1: were involved in this, there were criminal charges against fifty 218 00:12:23,920 --> 00:12:27,720 Speaker 1: seven people from this kid. He would charge parents at 219 00:12:27,800 --> 00:12:31,680 Speaker 1: least a six figure sum for the service. For less money, 220 00:12:32,400 --> 00:12:34,640 Speaker 1: he would do the other thing, arrange for their kids 221 00:12:34,679 --> 00:12:37,400 Speaker 1: to take standardized admission exams with proctors who were in 222 00:12:37,400 --> 00:12:39,840 Speaker 1: his pocket. They would correct the mistakes of the test 223 00:12:39,960 --> 00:12:42,720 Speaker 1: or simply take it for them. That was the cheap option. Yeah, 224 00:12:42,760 --> 00:12:45,240 Speaker 1: the big option was to just bribe people. That's what 225 00:12:45,400 --> 00:12:47,320 Speaker 1: you were really interested in getting into a place like 226 00:12:48,040 --> 00:12:50,520 Speaker 1: USC or Stanford or Yale or Harvard or a place 227 00:12:50,559 --> 00:12:54,520 Speaker 1: like that. Yeah. Laurie Laughlin, her daughter was admitted to 228 00:12:54,600 --> 00:12:59,760 Speaker 1: USC as a recruited Coxswain on the basis of opposed 229 00:13:00,000 --> 00:13:05,080 Speaker 1: photograph on a rowing machine. Yeah remember that. Yes, that 230 00:13:05,200 --> 00:13:08,840 Speaker 1: was so funny. She posted on a rowing machine. But 231 00:13:08,880 --> 00:13:10,719 Speaker 1: the son of an LA businessman got a spot in 232 00:13:10,840 --> 00:13:13,960 Speaker 1: USC after his father photographed him posing a water polo 233 00:13:14,080 --> 00:13:17,439 Speaker 1: gear in the family pool. Yeah. A singer with mastermind 234 00:13:17,480 --> 00:13:19,600 Speaker 1: it saying I'll be able to sell you just to 235 00:13:19,679 --> 00:13:22,360 Speaker 1: give me a photo that makes it look like because 236 00:13:22,440 --> 00:13:26,240 Speaker 1: because he would bribe you know, admissions director or a coach. Right. 237 00:13:26,640 --> 00:13:29,880 Speaker 1: But if if that application had to be run by 238 00:13:29,920 --> 00:13:33,200 Speaker 1: other people, you know, they'd be swayed just by the photo. 239 00:13:33,200 --> 00:13:35,040 Speaker 1: It's like, Okay, well there's a photo of them wearing 240 00:13:35,040 --> 00:13:37,760 Speaker 1: the gear. I guess they're they're for real. Yeah, they 241 00:13:37,800 --> 00:13:40,559 Speaker 1: would make a phone call the person that could probably say, oh, yeah, 242 00:13:40,600 --> 00:13:42,400 Speaker 1: they're good. We're happy to have him on the team. 243 00:13:42,400 --> 00:13:44,640 Speaker 1: They're gonna be a real addition. They would make up 244 00:13:44,640 --> 00:13:47,040 Speaker 1: fake club teams that you know, oh yeah, he played 245 00:13:47,080 --> 00:13:49,319 Speaker 1: soccer with such and such club team. The same thing 246 00:13:49,320 --> 00:13:53,040 Speaker 1: with water polo, and who tracks water polo anyway. One 247 00:13:53,040 --> 00:13:56,840 Speaker 1: of the conversations that was recorded was between Singer and 248 00:13:57,040 --> 00:13:59,400 Speaker 1: a man named John Wilson, who I guess is a 249 00:13:59,440 --> 00:14:04,320 Speaker 1: financial bigwig in Massachusetts. And he said, what would I 250 00:14:04,360 --> 00:14:07,520 Speaker 1: need to donate to Harvard or Stanford to get my 251 00:14:07,559 --> 00:14:11,280 Speaker 1: twin daughters in there? Now, that's the traditional way that 252 00:14:11,320 --> 00:14:14,400 Speaker 1: people get into big universities. Says you, Yes, you give 253 00:14:14,440 --> 00:14:16,280 Speaker 1: a lot of money to that college fund. Well, you 254 00:14:16,320 --> 00:14:20,200 Speaker 1: know what, that's what we were told by college counselors. Oh, 255 00:14:20,240 --> 00:14:22,520 Speaker 1: you were told that. We're told that that if you know, 256 00:14:22,560 --> 00:14:24,440 Speaker 1: we write the big chack, it'll be a lot easier, 257 00:14:24,800 --> 00:14:27,760 Speaker 1: which which we didn't do. Well, the answer he got 258 00:14:27,880 --> 00:14:31,600 Speaker 1: was forty five million dollars Wilson's response was, God, is 259 00:14:31,640 --> 00:14:33,120 Speaker 1: there a way that I could get a two for 260 00:14:33,200 --> 00:14:37,480 Speaker 1: one special? He says, I can get you in through 261 00:14:37,480 --> 00:14:39,840 Speaker 1: the side door, and that's what he did, Like he 262 00:14:39,920 --> 00:14:43,920 Speaker 1: did with many clients. He did the bribe routine or 263 00:14:43,960 --> 00:14:46,480 Speaker 1: the fake exam routine. And a lot of kids did 264 00:14:46,480 --> 00:14:49,280 Speaker 1: get in because their parents donated, and a lot of 265 00:14:49,360 --> 00:14:52,120 Speaker 1: kids were equally as worthy didn't get in because their 266 00:14:52,160 --> 00:14:55,800 Speaker 1: parents didn't play that game, were capable of playing that game. Remember, 267 00:14:55,800 --> 00:15:00,560 Speaker 1: I knew one of the women who got arrested sent 268 00:15:00,600 --> 00:15:02,280 Speaker 1: to jail. Oh, yeah, that's right, you did. I knew 269 00:15:02,320 --> 00:15:06,640 Speaker 1: him personal, Yeah, yeah, that's right. Yeah. And I'm told 270 00:15:06,640 --> 00:15:09,240 Speaker 1: that the other kids in the class were really pissed 271 00:15:09,360 --> 00:15:12,120 Speaker 1: that he got into the university because mom did this 272 00:15:12,480 --> 00:15:15,640 Speaker 1: scam when they they tried to do this, you know, 273 00:15:15,880 --> 00:15:20,920 Speaker 1: the old fashioned way, and weren't getting anywhere. Now, Yeah, 274 00:15:20,960 --> 00:15:23,480 Speaker 1: they did say. The prosecutors did say that to his help. 275 00:15:24,120 --> 00:15:28,320 Speaker 1: Singer's help was unprecedented for the prosecutors. Remember this case 276 00:15:28,400 --> 00:15:30,720 Speaker 1: was pretty much centered in Massachusetts. It's kind of where 277 00:15:30,720 --> 00:15:33,800 Speaker 1: it began. And that's probably why he only got three 278 00:15:33,840 --> 00:15:37,560 Speaker 1: years instead of the six years. The person who got 279 00:15:37,600 --> 00:15:42,480 Speaker 1: the most time other than Singer was a Georgetown tennis coach, 280 00:15:42,640 --> 00:15:45,640 Speaker 1: Gordon Ertz, who got thirty months in prison for taking 281 00:15:45,640 --> 00:15:48,240 Speaker 1: bribes because remember Laurie Laughlin didn't get what'd you get? 282 00:15:48,280 --> 00:15:50,640 Speaker 1: Like a few weeks? I think, Yeah, it was a 283 00:15:50,680 --> 00:15:54,880 Speaker 1: short time. It was a short time, stupid husband, right, Massimo, 284 00:15:55,720 --> 00:15:59,280 Speaker 1: Oh yeah, Massamo. He was beligerent about the whole case. 285 00:15:59,640 --> 00:16:03,040 Speaker 1: The blows designer boss of all yeah, all right, we 286 00:16:03,120 --> 00:16:05,160 Speaker 1: got more coming up. So Johnny kenk If I am 287 00:16:05,240 --> 00:16:07,440 Speaker 1: six forty live everywhere in the iHeart Radio app. You 288 00:16:07,440 --> 00:16:09,480 Speaker 1: can hear us from one till four now every day 289 00:16:09,520 --> 00:16:11,600 Speaker 1: one untill four. And if you want to hear the 290 00:16:11,600 --> 00:16:14,560 Speaker 1: whole show on the podcast, you go to the iHeartRadio app, 291 00:16:14,760 --> 00:16:18,040 Speaker 1: go to podcasts and type in John and Cannon demand 292 00:16:18,160 --> 00:16:20,760 Speaker 1: and then you could listen to us any time of 293 00:16:20,800 --> 00:16:23,480 Speaker 1: the n ERA. Here's the headline I was looking for before. 294 00:16:23,720 --> 00:16:26,960 Speaker 1: The snowpack covering California's mountains is off to one of 295 00:16:26,960 --> 00:16:31,400 Speaker 1: its best starts in forty years. Wow. Roughly a third 296 00:16:31,440 --> 00:16:34,280 Speaker 1: of California's water every year comes from the melted snow 297 00:16:34,680 --> 00:16:38,480 Speaker 1: in the Sierra Nevada, and they are at big amounts. 298 00:16:38,480 --> 00:16:40,680 Speaker 1: And that's not even counting this coming storm. All this 299 00:16:40,800 --> 00:16:44,320 Speaker 1: coverage is as if none of this has ever happened before. 300 00:16:45,320 --> 00:16:50,800 Speaker 1: Exactly many times. I think it's unprecedented. We must take action, 301 00:16:51,400 --> 00:16:53,000 Speaker 1: You feel like when you read these headlines and the 302 00:16:53,040 --> 00:16:55,600 Speaker 1: elsa gunto times, what do I do? I must take action. 303 00:16:56,120 --> 00:17:00,960 Speaker 1: I can control the weather, help and once What's funny 304 00:17:01,040 --> 00:17:03,840 Speaker 1: is it they keep on coverage with the same intensity 305 00:17:03,880 --> 00:17:06,680 Speaker 1: once you've announced, hey, big storm, could be three inches 306 00:17:06,720 --> 00:17:09,320 Speaker 1: of rain, it's gonna last two days. You know what 307 00:17:09,480 --> 00:17:11,960 Speaker 1: else is there to say? Just sit and watch the 308 00:17:12,040 --> 00:17:16,680 Speaker 1: rain out the window. If that's what you're into. All right, Well, 309 00:17:16,720 --> 00:17:24,640 Speaker 1: exciting news. Guess who's been president almost two years? President? Yeah? Ah, 310 00:17:24,680 --> 00:17:29,359 Speaker 1: who's president? Yeah? I don't know who's the president. Well 311 00:17:29,480 --> 00:17:33,840 Speaker 1: he's going to the border maybe possibly, well, thank god, 312 00:17:34,320 --> 00:17:37,520 Speaker 1: thank god, he's going to the border. Well, here's the 313 00:17:37,560 --> 00:17:44,000 Speaker 1: tricky so badly he's actually going to Mexico on a visit. 314 00:17:44,640 --> 00:17:49,000 Speaker 1: So reporters pestered him today in Kentucky. Does this mean 315 00:17:49,200 --> 00:17:52,480 Speaker 1: you'll also take a look at the overwhelmed border? Here's 316 00:17:52,520 --> 00:17:57,640 Speaker 1: the short clip. Are you going to that's my intention. 317 00:17:57,640 --> 00:18:01,240 Speaker 1: We're working out the details now. He's traveling to Mexico, 318 00:18:01,400 --> 00:18:05,560 Speaker 1: city for meetings with leaders of Canada and Mexico. This 319 00:18:05,640 --> 00:18:08,760 Speaker 1: will be next Monday and Tuesday. I have a serious question. Yes, 320 00:18:08,960 --> 00:18:12,280 Speaker 1: maybe in all of your wisdom you understand he knows 321 00:18:12,320 --> 00:18:15,720 Speaker 1: what's going on at the border. Yo. Yes, he wants 322 00:18:15,760 --> 00:18:18,680 Speaker 1: this to go on. Yea, So what does it matter 323 00:18:18,840 --> 00:18:22,440 Speaker 1: to the media or anybody else? If he actually goes there, 324 00:18:22,720 --> 00:18:27,600 Speaker 1: then what changes? It's just window dressing it. But why 325 00:18:27,600 --> 00:18:31,240 Speaker 1: do they keep asking him? And why have to show concern? 326 00:18:33,160 --> 00:18:35,800 Speaker 1: It's a good photo opportunity. People want to know that 327 00:18:35,800 --> 00:18:39,080 Speaker 1: you're there. You're looking at it for yourself and you're saying, 328 00:18:39,080 --> 00:18:41,360 Speaker 1: what can I do? I mean, if he really does this, 329 00:18:42,119 --> 00:18:44,560 Speaker 1: then we're going to get a day of President Biden 330 00:18:44,840 --> 00:18:47,400 Speaker 1: visit of the border for the first time. Yeah, they will, 331 00:18:47,560 --> 00:18:51,399 Speaker 1: and then and why? But he was flip side of 332 00:18:51,440 --> 00:18:53,840 Speaker 1: this is he doesn't want to be involved in this 333 00:18:53,880 --> 00:18:56,480 Speaker 1: because he doesn't want to call attention to the overwhelmed border. 334 00:18:56,800 --> 00:18:59,399 Speaker 1: That's why he hasn't gone in two years, because the 335 00:18:59,480 --> 00:19:02,200 Speaker 1: media will follow him and they'll probably get some pretty 336 00:19:02,200 --> 00:19:05,359 Speaker 1: good video of people jumping the fences and running around 337 00:19:05,359 --> 00:19:09,000 Speaker 1: the guards or whatever. Right now, all the media outlets 338 00:19:09,000 --> 00:19:11,440 Speaker 1: outside of Fox is covering it up. They're pretending it's 339 00:19:11,440 --> 00:19:14,360 Speaker 1: not happening. It's not there. Yes, it's allowing a few 340 00:19:14,400 --> 00:19:16,359 Speaker 1: The New York Post is pretty good following this story. 341 00:19:16,400 --> 00:19:20,200 Speaker 1: Anything Rupert Murdoch owns is following the border. Everything else 342 00:19:20,520 --> 00:19:23,960 Speaker 1: just hasn't happened, no such thing. So if he does 343 00:19:24,040 --> 00:19:26,000 Speaker 1: go to the border, then everybody's going to have to 344 00:19:26,040 --> 00:19:29,199 Speaker 1: cover it. And I you know, there's a lot of 345 00:19:29,240 --> 00:19:32,280 Speaker 1: people I think that are just not aware of what's 346 00:19:32,280 --> 00:19:34,960 Speaker 1: going on at the border, and a lot I think 347 00:19:35,000 --> 00:19:38,119 Speaker 1: it's like nine percent. Yeah, well whatever your definition of 348 00:19:38,119 --> 00:19:40,199 Speaker 1: a lot is. What did I say before we went 349 00:19:40,240 --> 00:19:43,640 Speaker 1: on vacation, Ask anybody you know what title forty two 350 00:19:43,680 --> 00:19:46,960 Speaker 1: is and see what kind of a reaction you get. Yeah. Yeah, 351 00:19:47,240 --> 00:19:49,080 Speaker 1: but that will give you an idea if they're following 352 00:19:49,119 --> 00:19:51,760 Speaker 1: the border problem, because that's the big story with the border. 353 00:19:52,040 --> 00:19:54,560 Speaker 1: And I would say ninety percent of people they would 354 00:19:54,560 --> 00:19:57,840 Speaker 1: just stare at you. That is the secret, unspoken gap 355 00:19:57,880 --> 00:20:01,160 Speaker 1: in the world that explains a lot is that most 356 00:20:01,200 --> 00:20:04,520 Speaker 1: people pay no attention to most things. You by listening 357 00:20:04,560 --> 00:20:07,840 Speaker 1: to the show, know a lot about everything, but you 358 00:20:07,920 --> 00:20:11,000 Speaker 1: know the important things about everything. Yeah, there's also a 359 00:20:11,000 --> 00:20:13,040 Speaker 1: lot of minutia being covered. If I see one more 360 00:20:13,119 --> 00:20:15,200 Speaker 1: damn headline over who's going to be speaker the House, 361 00:20:15,480 --> 00:20:19,480 Speaker 1: my head's going to explode. I don't care. But the 362 00:20:19,560 --> 00:20:22,560 Speaker 1: border two point four million migrants, that's a big one 363 00:20:22,680 --> 00:20:25,840 Speaker 1: charging in. How are we going to deal with that? 364 00:20:25,840 --> 00:20:32,199 Speaker 1: That's important? See the difference. Yeah, So the development that 365 00:20:32,320 --> 00:20:37,600 Speaker 1: also occurred last week as regards Title forty two, and 366 00:20:37,840 --> 00:20:40,359 Speaker 1: we'll take a moment to explain what that is. The 367 00:20:40,400 --> 00:20:45,159 Speaker 1: Emergency Health Order implemented under Trump, which allowed the border 368 00:20:45,200 --> 00:20:47,960 Speaker 1: patrol to turn away a lot of migrants because of 369 00:20:48,040 --> 00:20:51,679 Speaker 1: the health emergency of COVID nineteen. The thing about that 370 00:20:51,720 --> 00:20:53,560 Speaker 1: you need to learn and we found this out from 371 00:20:53,560 --> 00:20:56,520 Speaker 1: Mark Korean from the Center for Immigration Studies. There are 372 00:20:56,520 --> 00:20:59,600 Speaker 1: a great resource, by the way, on the topic. Is 373 00:20:59,640 --> 00:21:02,640 Speaker 1: that under the Biden administration for the last couple of years. Yeah, 374 00:21:02,680 --> 00:21:04,719 Speaker 1: they haven't been using that so much because I'm like, well, 375 00:21:04,720 --> 00:21:06,760 Speaker 1: how did two point four million people still gonna cross? 376 00:21:06,920 --> 00:21:10,680 Speaker 1: Title forty two has been in place? He said, D's discretionary. 377 00:21:11,400 --> 00:21:14,640 Speaker 1: Some days we'll tell people turn people around. Other days 378 00:21:14,960 --> 00:21:18,080 Speaker 1: maybe maybe not. Yeah. When Trump was president that year 379 00:21:18,160 --> 00:21:19,800 Speaker 1: that this was going on, Yeah, they turned away a 380 00:21:19,800 --> 00:21:24,119 Speaker 1: lot of people. So here's what happened. As you know, 381 00:21:24,200 --> 00:21:27,560 Speaker 1: this has gone through the courts. The Biden administration wanted 382 00:21:27,600 --> 00:21:30,520 Speaker 1: to end Title forty two because yes, honestly, the COVID 383 00:21:30,600 --> 00:21:34,520 Speaker 1: nineteen emergency is over. But they were lawsuits, and they 384 00:21:34,560 --> 00:21:38,359 Speaker 1: got like one court to turn away Biden trying to 385 00:21:38,440 --> 00:21:40,280 Speaker 1: end Title forty two, another one that said he can 386 00:21:40,359 --> 00:21:44,080 Speaker 1: do it. Finally, the US Supreme Court got involved, specifically 387 00:21:44,200 --> 00:21:47,879 Speaker 1: Chief Justice John Roberts, who first put a halt on 388 00:21:48,080 --> 00:21:50,560 Speaker 1: ending Title forty two because it's expected to be an 389 00:21:50,560 --> 00:21:53,399 Speaker 1: even bigger stampede. And this is the other thing you 390 00:21:53,440 --> 00:21:55,399 Speaker 1: need to know about this. It doesn't matter what the 391 00:21:55,440 --> 00:21:58,200 Speaker 1: details of Title forty two are. The message goes out 392 00:21:58,480 --> 00:22:01,320 Speaker 1: to the greater migrant world that the US is open. 393 00:22:02,040 --> 00:22:05,280 Speaker 1: That's all that matters, right, And as Marker Kroyan said, 394 00:22:05,640 --> 00:22:07,639 Speaker 1: somebody gets a call and they're small village from a 395 00:22:07,680 --> 00:22:10,000 Speaker 1: guy who got into the US. He's in Texas. He said, 396 00:22:10,160 --> 00:22:13,320 Speaker 1: it's pretty good. It's easy come on through. As long 397 00:22:13,359 --> 00:22:15,320 Speaker 1: as that message is going out, that's all it takes. 398 00:22:15,840 --> 00:22:19,600 Speaker 1: For two years, this is the way it's going to be. 399 00:22:19,600 --> 00:22:23,679 Speaker 1: Because Biden wants this to happen, and all the open 400 00:22:24,080 --> 00:22:28,679 Speaker 1: all the Wokesters in his administration, and there are a 401 00:22:28,720 --> 00:22:33,080 Speaker 1: lot of Wokesters, and they do not believe in borders. 402 00:22:33,119 --> 00:22:37,159 Speaker 1: They think we're in a post border world. It guess 403 00:22:37,400 --> 00:22:41,720 Speaker 1: a post America world. There's no reason for America to 404 00:22:41,840 --> 00:22:45,240 Speaker 1: be walled off in any way literally or figuratively to 405 00:22:45,400 --> 00:22:47,680 Speaker 1: the rest of the world. They can come in if 406 00:22:47,680 --> 00:22:50,840 Speaker 1: they want and enjoy all our riches, all our wealth. 407 00:22:50,920 --> 00:22:54,440 Speaker 1: We are not entitled to this wealth. These are ultrasocialists, 408 00:22:54,480 --> 00:22:58,959 Speaker 1: global socialists that have infiltrated the entire Biden administration, and 409 00:22:59,000 --> 00:23:01,159 Speaker 1: he's willing to have them on the days that he 410 00:23:01,200 --> 00:23:04,040 Speaker 1: notices them. So that is their philosophy. This is not 411 00:23:04,080 --> 00:23:07,119 Speaker 1: what Biden ran on, but this is what he's implemented. 412 00:23:07,160 --> 00:23:08,840 Speaker 1: This is the thing that you don't mention when you're 413 00:23:08,880 --> 00:23:11,080 Speaker 1: running for office. These are the things that you do 414 00:23:11,119 --> 00:23:13,639 Speaker 1: after you're in. And he's got all the progressives in 415 00:23:13,680 --> 00:23:18,240 Speaker 1: the media willfully ignoring the issue because they also believe 416 00:23:18,480 --> 00:23:21,600 Speaker 1: that we're in a post America world. I remember a 417 00:23:21,680 --> 00:23:24,159 Speaker 1: couple of months ago they got really ticked. There was 418 00:23:24,200 --> 00:23:29,199 Speaker 1: like an insider story from the Biden administration dominions that 419 00:23:29,240 --> 00:23:31,919 Speaker 1: they were upset because Bill Mulusion was sending out all 420 00:23:31,960 --> 00:23:35,880 Speaker 1: sorts of video of El Paso being overrun by Migraines. 421 00:23:35,880 --> 00:23:37,719 Speaker 1: This may take us back on another year before that. 422 00:23:37,960 --> 00:23:39,760 Speaker 1: They didn't like that. Why is he doing that? Well, 423 00:23:39,800 --> 00:23:43,159 Speaker 1: they were trying to stop Fox's news drones from hovering 424 00:23:43,160 --> 00:23:45,360 Speaker 1: over the covering over the board. Remember that bridge full 425 00:23:45,359 --> 00:23:48,119 Speaker 1: of Haitians? Right, yeah, no, there there's a lot of 426 00:23:48,160 --> 00:23:52,080 Speaker 1: pressure on Fox not to cover this. They didn't understand 427 00:23:52,080 --> 00:23:54,240 Speaker 1: no one else is covering it. Why are you covering it? Well, 428 00:23:54,880 --> 00:23:57,440 Speaker 1: you know it's it's it's not about news anymore. It's 429 00:23:57,440 --> 00:24:00,920 Speaker 1: about your ideology and are you going to help out 430 00:24:01,000 --> 00:24:05,280 Speaker 1: the political party in power or not? And most of 431 00:24:05,280 --> 00:24:08,720 Speaker 1: the media helps Biden out and Fox won't. Here's the 432 00:24:09,240 --> 00:24:12,480 Speaker 1: development that occurred last week. The US Supreme Court is 433 00:24:12,520 --> 00:24:15,439 Speaker 1: going to hear the case arguments on whether or not 434 00:24:16,040 --> 00:24:20,960 Speaker 1: an Arizona led coalition of nineteen states including Texas, can 435 00:24:21,080 --> 00:24:24,560 Speaker 1: challenge that lower court ruling that ordered Biden administration to 436 00:24:24,640 --> 00:24:27,640 Speaker 1: lift Title forty two. So next month, the Supreme Court 437 00:24:27,760 --> 00:24:30,600 Speaker 1: here arguments they probably won't issue a ruling though until June, 438 00:24:30,640 --> 00:24:33,119 Speaker 1: like they normally do, because they got to take all 439 00:24:33,119 --> 00:24:35,680 Speaker 1: the arguments and then do all their research and issue 440 00:24:35,680 --> 00:24:38,240 Speaker 1: their opinions. But that's where we are. So they did 441 00:24:38,320 --> 00:24:41,200 Speaker 1: at least agree to hear the case. Now, the bad 442 00:24:41,240 --> 00:24:46,360 Speaker 1: news is, strictly speaking, COVID is over Title forty two 443 00:24:46,800 --> 00:24:49,679 Speaker 1: because that's what it was implemented. Should be gone. But 444 00:24:49,760 --> 00:24:51,879 Speaker 1: they have to come up with something to replace it. 445 00:24:52,200 --> 00:24:54,560 Speaker 1: They have to come up with some sort of policy. 446 00:24:54,600 --> 00:24:56,879 Speaker 1: They're not going to No. I heard a rumor they 447 00:24:56,880 --> 00:24:59,160 Speaker 1: were going to suspend asylum requests for a couple of months, 448 00:24:59,200 --> 00:25:01,200 Speaker 1: but I don't think they did that. He might do 449 00:25:01,359 --> 00:25:05,440 Speaker 1: something short term, depending on how the reelection is going, 450 00:25:05,480 --> 00:25:07,959 Speaker 1: assuming he runs. Right. You know, if they look at 451 00:25:08,000 --> 00:25:10,160 Speaker 1: the data and realized they got to win over some 452 00:25:10,400 --> 00:25:13,440 Speaker 1: people in the middle and that putting a stop on 453 00:25:13,520 --> 00:25:15,479 Speaker 1: immigration will do it, then they will. And as soon 454 00:25:15,520 --> 00:25:20,200 Speaker 1: as they get reelected then that'll be reversed. Right, So 455 00:25:20,400 --> 00:25:22,720 Speaker 1: they that's that, that's a chip they're going to play. 456 00:25:22,720 --> 00:25:27,520 Speaker 1: But their philosophy is to let in unlimited. A story 457 00:25:27,520 --> 00:25:29,840 Speaker 1: I'm looking at it says more than two million times 458 00:25:29,840 --> 00:25:33,320 Speaker 1: they use Title forty two to send migrants back. But 459 00:25:33,359 --> 00:25:35,800 Speaker 1: you know some of them are repeat offenders. Though you 460 00:25:35,840 --> 00:25:38,720 Speaker 1: know who spoke out strongly against it again today and 461 00:25:38,760 --> 00:25:42,000 Speaker 1: he sounded really mad and forceful about it. Was the 462 00:25:42,040 --> 00:25:45,880 Speaker 1: Mayor of New York, Eric Adams, because they've got nowhere 463 00:25:45,880 --> 00:25:48,720 Speaker 1: to put these people and they're coming in in huge 464 00:25:48,800 --> 00:25:51,320 Speaker 1: numbers and they can't. They don't have schools for him, 465 00:25:51,440 --> 00:25:53,960 Speaker 1: they don't have places for them to sleep. You know that. 466 00:25:54,160 --> 00:25:56,159 Speaker 1: It's it's costing them a lot of money. Remember, the 467 00:25:56,160 --> 00:25:58,200 Speaker 1: thorough government can print as much money as they want, 468 00:25:58,200 --> 00:26:01,160 Speaker 1: and they do, but any city, New York, they can't 469 00:26:01,520 --> 00:26:04,280 Speaker 1: print money. Every dollar they're spending on the immigrants, it 470 00:26:04,320 --> 00:26:06,040 Speaker 1: is a dollar that's coming out of something that's meant 471 00:26:06,040 --> 00:26:08,960 Speaker 1: for the citizens. I read to Colorado's now sending migrants 472 00:26:08,960 --> 00:26:11,840 Speaker 1: to New York City, Well, everybody, because they're probably getting 473 00:26:11,880 --> 00:26:15,640 Speaker 1: them from Texas. Hey, look they declared it a sanctuary city. 474 00:26:16,960 --> 00:26:19,920 Speaker 1: So if that's what it means, Yeah, that's what it means, 475 00:26:19,920 --> 00:26:22,560 Speaker 1: open your arms. Yeah, that's stupid. Same thing with newsom over. 476 00:26:22,560 --> 00:26:25,879 Speaker 1: We can't afford this anymore. Stupid progressive symbolism. Where a 477 00:26:26,000 --> 00:26:30,360 Speaker 1: sanctuary city, we welcome everyone, regardless of their legal status. 478 00:26:30,359 --> 00:26:32,840 Speaker 1: It's like, fine, here you go have at it. Here's 479 00:26:32,840 --> 00:26:35,080 Speaker 1: a million of them. You'll find out what a financial 480 00:26:35,119 --> 00:26:37,080 Speaker 1: burden it is. We got more coming up, John and 481 00:26:37,160 --> 00:26:41,320 Speaker 1: kenkf I am six forty live everywhere the iHeartRadio coming 482 00:26:41,400 --> 00:26:45,679 Speaker 1: up after two o'clock. We're gonna get well, we'll do 483 00:26:45,760 --> 00:26:49,479 Speaker 1: some questioning of a person who is an expert on 484 00:26:49,520 --> 00:26:52,399 Speaker 1: the field of DNA, and we should be able to 485 00:26:52,440 --> 00:26:55,920 Speaker 1: get a pretty good idea how they were able to 486 00:26:55,960 --> 00:27:00,560 Speaker 1: track down who they believe is the Idaho college student murderer. 487 00:27:01,000 --> 00:27:06,080 Speaker 1: This Brian Coburger, the PhD student at the University of 488 00:27:06,160 --> 00:27:09,400 Speaker 1: Washington who they say drove a short distance from where 489 00:27:09,400 --> 00:27:11,800 Speaker 1: he lived to the house where the college students lived 490 00:27:12,280 --> 00:27:14,679 Speaker 1: and stabbed four of them to death while they were 491 00:27:14,680 --> 00:27:18,560 Speaker 1: in their beds. DNA was vital the two things that 492 00:27:18,600 --> 00:27:21,720 Speaker 1: apparently came together with the white hunde a lantra that 493 00:27:21,760 --> 00:27:24,639 Speaker 1: he drove, the fact that he didn't live far away, 494 00:27:25,280 --> 00:27:29,879 Speaker 1: and DNA apparently found at the crime scene, which they 495 00:27:29,880 --> 00:27:34,040 Speaker 1: traced through one of those DNA databases, one of those 496 00:27:34,080 --> 00:27:39,040 Speaker 1: ancestry databases to finally find their way to Coburger. She 497 00:27:39,080 --> 00:27:42,160 Speaker 1: can explain how this works. I think we'll think you'll 498 00:27:42,200 --> 00:27:45,600 Speaker 1: find it fascinating if they found a distant relative relative 499 00:27:45,680 --> 00:27:49,080 Speaker 1: most likely, and then I worked their way back right 500 00:27:49,160 --> 00:27:52,879 Speaker 1: and apparently it is a painstaking, long process, which is 501 00:27:52,920 --> 00:27:56,240 Speaker 1: one of the reasons it took somebody weeks to finally 502 00:27:56,400 --> 00:27:59,760 Speaker 1: nail this down. So we'll talk to her coming up 503 00:28:00,119 --> 00:28:04,560 Speaker 1: to the news at two o'clock. Well, yeah, you and 504 00:28:04,600 --> 00:28:07,679 Speaker 1: I both saw this story this morning, and it it 505 00:28:07,840 --> 00:28:14,160 Speaker 1: shades what happened years ago in Florida. Remember the attack 506 00:28:14,800 --> 00:28:19,600 Speaker 1: under a bridge near Miami. A man was cannibalized by 507 00:28:19,640 --> 00:28:22,960 Speaker 1: another man who was high on what bath salts? The 508 00:28:23,000 --> 00:28:25,720 Speaker 1: story back then, Yeah, it was was the rage like 509 00:28:25,960 --> 00:28:28,200 Speaker 1: dining was ten years ago now something like that. Yeah, 510 00:28:28,200 --> 00:28:32,840 Speaker 1: it was some artificial drug that was manufactured and they 511 00:28:32,880 --> 00:28:36,119 Speaker 1: used to sell it at convenience stories in Florida, you 512 00:28:36,160 --> 00:28:38,160 Speaker 1: know at the time, because I'd like to overreact, like 513 00:28:38,200 --> 00:28:40,200 Speaker 1: everyone else is this like this is gonna be the 514 00:28:40,280 --> 00:28:42,680 Speaker 1: next zombie rage. Everybody gets high on bath salts and 515 00:28:42,680 --> 00:28:47,000 Speaker 1: starts chewing off everybody else's faces. He must have been 516 00:28:47,040 --> 00:28:51,480 Speaker 1: on some kind of meth the perpetrator here, Yeah, this 517 00:28:51,560 --> 00:28:54,280 Speaker 1: is in well Portland. Do you think it involved a 518 00:28:54,320 --> 00:29:01,120 Speaker 1: homeless person. All we know is that the attacker, Coren Kramer, 519 00:29:01,840 --> 00:29:05,880 Speaker 1: recently arrived in Oregon from Georgia. Yeah, that's about all 520 00:29:05,880 --> 00:29:09,600 Speaker 1: They're saying about him. Yeah, the drug addic Express, all 521 00:29:09,640 --> 00:29:12,800 Speaker 1: the transportation, the trains and the buses that come from 522 00:29:12,800 --> 00:29:14,920 Speaker 1: all over the country. Oh and they probably found out 523 00:29:14,960 --> 00:29:17,400 Speaker 1: Portland's a great place to be homeless. Oh you know, 524 00:29:17,440 --> 00:29:19,000 Speaker 1: I was talking to somebody the other day that had 525 00:29:19,040 --> 00:29:22,960 Speaker 1: been to Portland recently. It's really bad and I heard 526 00:29:23,000 --> 00:29:26,080 Speaker 1: it's reaching out to like the suburbs. Yeah, yeah, it is. 527 00:29:26,200 --> 00:29:31,400 Speaker 1: It is a complete zombie zone. Zombie zone, zombie zone. 528 00:29:31,440 --> 00:29:34,240 Speaker 1: I liked z Yeah, it's a zz no, you know, 529 00:29:35,040 --> 00:29:37,520 Speaker 1: like the whole the whole down town. Like nobody wants 530 00:29:37,520 --> 00:29:40,760 Speaker 1: to go there because there are people like this. They're 531 00:29:40,760 --> 00:29:45,040 Speaker 1: gonna eat your face. Portland has light rail, that's light 532 00:29:45,080 --> 00:29:48,160 Speaker 1: train rail, and apparently on a platform the other night, 533 00:29:48,200 --> 00:29:50,360 Speaker 1: a seventy eight year old man was attacked by this 534 00:29:50,480 --> 00:29:55,040 Speaker 1: corn cramer and he got his ear chewed off and 535 00:29:55,120 --> 00:29:59,680 Speaker 1: part of his face ripped. According to the police, some 536 00:29:59,760 --> 00:30:05,800 Speaker 1: of his skull was exposed. Oh that sounds like a zombie. 537 00:30:05,840 --> 00:30:09,360 Speaker 1: He really chowed down, didn't he. Man? She said, the 538 00:30:09,480 --> 00:30:12,840 Speaker 1: force to rip enough flesh off that they look just 539 00:30:12,880 --> 00:30:17,440 Speaker 1: looking at skull bone. This was two am yesterday morning. 540 00:30:17,480 --> 00:30:19,280 Speaker 1: Oh what is this sevent eight year old man doing 541 00:30:19,320 --> 00:30:21,560 Speaker 1: on a light rail platform at two am. I don't 542 00:30:21,560 --> 00:30:24,280 Speaker 1: want to blame him, but I'm just saying that they 543 00:30:24,280 --> 00:30:27,080 Speaker 1: were probably safer places to be. I wonder if he 544 00:30:27,120 --> 00:30:30,920 Speaker 1: was homeless too. Yeah, it doesn't say they got a 545 00:30:30,960 --> 00:30:33,400 Speaker 1: call about a possible stabbing. That's what people thought they 546 00:30:33,440 --> 00:30:36,400 Speaker 1: saw because there was a lot of blood. They found 547 00:30:36,400 --> 00:30:38,920 Speaker 1: the suspects still on top of the victim pulled him off. 548 00:30:39,280 --> 00:30:43,160 Speaker 1: They realized he used his teeth to chew off the 549 00:30:43,240 --> 00:30:45,640 Speaker 1: victim's ear and part of his face. The whole ear, 550 00:30:46,560 --> 00:30:48,840 Speaker 1: the whole ear. Did he did he swallow the ear? 551 00:30:50,120 --> 00:30:55,000 Speaker 1: I don't have that in the story. Oh God. The 552 00:30:55,160 --> 00:30:58,680 Speaker 1: seventy eight year old man who says he's from Hillsboro 553 00:30:58,800 --> 00:31:02,040 Speaker 1: sounds like Johnny has a House was treated at the scene, 554 00:31:02,040 --> 00:31:05,000 Speaker 1: taken to a hospital, condition still unknown as of today. 555 00:31:05,280 --> 00:31:08,000 Speaker 1: You take you take the train in Portland at two 556 00:31:08,000 --> 00:31:10,800 Speaker 1: in the morning, you're just asking to get your face 557 00:31:10,880 --> 00:31:14,760 Speaker 1: bit off. Yeah, these train systems are dangerous. I mean 558 00:31:14,880 --> 00:31:17,360 Speaker 1: the one we talked about with regards to LA was 559 00:31:17,480 --> 00:31:24,280 Speaker 1: people pooping. Oh yeah, I mean, commagine getting on a 560 00:31:24,320 --> 00:31:27,920 Speaker 1: Greyhound bus from somewhere in the midwest of the South 561 00:31:27,960 --> 00:31:31,760 Speaker 1: coming to LA filled with all these meth addicts and 562 00:31:31,880 --> 00:31:36,160 Speaker 1: fentonel addics and Looney Tunes people, and they're all going 563 00:31:36,200 --> 00:31:38,959 Speaker 1: to LA to sleep on the ground, or are they 564 00:31:39,040 --> 00:31:41,320 Speaker 1: going to Portland or Seattle or San Francisco, all the 565 00:31:41,320 --> 00:31:44,040 Speaker 1: places that will welcome welcome this in the public space. 566 00:31:44,760 --> 00:31:47,080 Speaker 1: Our attacker would not give his real name. He said, 567 00:31:47,120 --> 00:31:49,520 Speaker 1: my name is El Baker. But they got his fingerprints. 568 00:31:49,520 --> 00:31:52,360 Speaker 1: Then of course they found him right through the what 569 00:31:52,440 --> 00:31:57,800 Speaker 1: do you know criminal history? Uh? Yeah, says here. They're 570 00:31:57,840 --> 00:32:02,160 Speaker 1: investigating whether drug use may have roll. Well, we don't 571 00:32:02,200 --> 00:32:05,680 Speaker 1: know for sure. Well who else, Well, well, he admitted 572 00:32:05,680 --> 00:32:08,600 Speaker 1: to drinking alcohol and using both fentinyl and marijuana before 573 00:32:08,640 --> 00:32:10,600 Speaker 1: the attacks. So he did admit to some sort of 574 00:32:10,680 --> 00:32:13,840 Speaker 1: drug use. Yeah, maybe he got some of that psychotic 575 00:32:13,880 --> 00:32:16,800 Speaker 1: marijuana that's going around now. Yeah, I know, or he's 576 00:32:16,880 --> 00:32:20,120 Speaker 1: psychotic to begin with. I'm always wonderful story like this 577 00:32:20,200 --> 00:32:23,040 Speaker 1: shakes people up and up. That says, that's it down. 578 00:32:23,080 --> 00:32:24,720 Speaker 1: We don't know for sure that this guy's a transient, 579 00:32:24,760 --> 00:32:26,440 Speaker 1: but I'm going to make a good guess here that 580 00:32:26,480 --> 00:32:30,920 Speaker 1: he is nothing. I'm convinced nothing can shake people up. Nothing, no, 581 00:32:31,120 --> 00:32:34,680 Speaker 1: huh no. Used to be one terrible case with a 582 00:32:34,720 --> 00:32:37,680 Speaker 1: sympathetic victim, and that would be it. You could pass 583 00:32:37,960 --> 00:32:42,080 Speaker 1: sweeping legislator one girl got killed back in nineteen ninety three, 584 00:32:42,360 --> 00:32:46,720 Speaker 1: bably class and three strikes. Three strikes, passed twice over, 585 00:32:46,880 --> 00:32:49,400 Speaker 1: once in the legislature, signed by the governor, and then 586 00:32:49,480 --> 00:32:54,640 Speaker 1: passed as a referendum on the ballot over one murder victim, 587 00:32:54,840 --> 00:32:59,600 Speaker 1: one murder victim, right and nothing now nothing guy gets 588 00:32:59,600 --> 00:33:02,640 Speaker 1: his face seating off, his skulls exposed. Yeah, if that 589 00:33:02,680 --> 00:33:07,440 Speaker 1: doesn't clean up downtown Portland. I know we have thought 590 00:33:07,480 --> 00:33:09,760 Speaker 1: that the murder of the poor girl at the furniture store, 591 00:33:09,840 --> 00:33:12,200 Speaker 1: what was that like a year ago? Oh yeah, Brianna Cooper, right, 592 00:33:12,240 --> 00:33:15,440 Speaker 1: Brianna cop should that would have been a mental illness 593 00:33:15,480 --> 00:33:17,880 Speaker 1: problem years ago. The whole city would have been galvanized 594 00:33:17,880 --> 00:33:20,680 Speaker 1: by that. Right, then, all we get I'm gonna be 595 00:33:21,160 --> 00:33:23,280 Speaker 1: an order, an emergency order. I'm gonna declare a state 596 00:33:23,320 --> 00:33:26,080 Speaker 1: of emergency. That'll do it. Yeah, here we are a 597 00:33:26,120 --> 00:33:32,560 Speaker 1: month later. Thanks didn't make any difference. Yeah, we're gonna 598 00:33:32,600 --> 00:33:35,680 Speaker 1: keep sounding the alarm. Politicians are good at declaring states 599 00:33:35,680 --> 00:33:38,280 Speaker 1: of emergency. It gets the media's attention. It's like we're 600 00:33:38,280 --> 00:33:42,840 Speaker 1: doing something, all right, when we come back. How the 601 00:33:42,920 --> 00:33:49,000 Speaker 1: FBI uses genetic genealogy websites to nail murder suspects. One 602 00:33:49,040 --> 00:33:50,800 Speaker 1: of them, of course, in the news right now, is 603 00:33:51,120 --> 00:33:55,680 Speaker 1: Brian Coburger, the Washington State man who they believe drove 604 00:33:55,760 --> 00:33:59,720 Speaker 1: from his home to Idaho and killed those four college students. 605 00:34:00,360 --> 00:34:03,280 Speaker 1: They run DNA through public websites find their suspect to 606 00:34:03,360 --> 00:34:06,320 Speaker 1: collect their DNA match to the crime scene. We'll be 607 00:34:06,440 --> 00:34:09,440 Speaker 1: talking to someone that knows just a little bit about 608 00:34:09,480 --> 00:34:13,520 Speaker 1: this after the news. She apparently works in the field, 609 00:34:13,840 --> 00:34:15,920 Speaker 1: has done this kind of work before. She did not 610 00:34:15,960 --> 00:34:18,600 Speaker 1: work on this case. I just want to make that clear. 611 00:34:18,719 --> 00:34:21,400 Speaker 1: But she can talk to us about how this is done. 612 00:34:21,719 --> 00:34:24,759 Speaker 1: Johnny Ken kf I Am six forty Live Everywhere, the 613 00:34:24,760 --> 00:34:28,480 Speaker 1: iHeartRadio app and Devin Mark's off today. Mark Ronner Live 614 00:34:28,520 --> 00:34:30,040 Speaker 1: in the twenty four Hour Cafe at Israem