1 00:00:00,560 --> 00:00:02,920 Speaker 1: Caf. I am six forty. You're listening to the John 2 00:00:02,920 --> 00:00:08,800 Speaker 1: and Ken Show on demand on the iHeartRadio app. Are 3 00:00:08,800 --> 00:00:12,159 Speaker 1: you still getting mortgage calls? Yes you are. I was 4 00:00:12,200 --> 00:00:18,120 Speaker 1: like a week later. Yeah, I have blocked though, probably 5 00:00:18,120 --> 00:00:21,080 Speaker 1: a hundred phone numbers because I noticed some of them 6 00:00:21,079 --> 00:00:24,000 Speaker 1: were coming on the same numbers. So I had about 7 00:00:24,040 --> 00:00:26,640 Speaker 1: six today and oh, they're just like, well you didn't 8 00:00:26,680 --> 00:00:29,040 Speaker 1: pick up, He'll pick up the next time, right, Yeah, 9 00:00:29,040 --> 00:00:32,040 Speaker 1: it's probably a computer, so so you know, at first 10 00:00:32,040 --> 00:00:33,960 Speaker 1: I didn't do it, so I deleted some of the 11 00:00:34,040 --> 00:00:36,840 Speaker 1: numbers without blocking it, and now I'm catching up. Today 12 00:00:36,920 --> 00:00:39,560 Speaker 1: was only six. First second day actually was the worst. 13 00:00:39,600 --> 00:00:43,559 Speaker 1: I think. Yeah, that was forty seven of them. So 14 00:00:43,720 --> 00:00:46,159 Speaker 1: just making sure you're you're staying happy and getting control 15 00:00:46,200 --> 00:00:48,560 Speaker 1: of the things that bother you in your life. And oh, 16 00:00:48,680 --> 00:00:53,040 Speaker 1: I know you if your phone went off fifty times, Oh, 17 00:00:53,080 --> 00:00:57,240 Speaker 1: I'd break it. Yeah, I'd toss it. Simple. I mean, 18 00:00:57,720 --> 00:00:59,400 Speaker 1: you know, I just turned the ringer off, so I 19 00:00:59,440 --> 00:01:02,680 Speaker 1: don't really notice most of them. Biden, I think we're 20 00:01:02,680 --> 00:01:04,960 Speaker 1: gonna start here with two words that I believe you 21 00:01:05,000 --> 00:01:07,440 Speaker 1: wanted to ban from the show. You're big in the 22 00:01:07,480 --> 00:01:10,360 Speaker 1: last couple of years, it's just banning faces, and there's 23 00:01:10,360 --> 00:01:11,840 Speaker 1: all kinds of jar. Do you have a guess what 24 00:01:11,880 --> 00:01:14,639 Speaker 1: this one is? We can play game. It's two words 25 00:01:15,240 --> 00:01:19,839 Speaker 1: and it deals with the weather. Atmospheric river. I banned 26 00:01:19,840 --> 00:01:24,040 Speaker 1: that yesterday, you did, Okay, I wasn't fact banned so much. 27 00:01:24,080 --> 00:01:26,759 Speaker 1: I can't keep you write them down. I turn on 28 00:01:26,840 --> 00:01:29,720 Speaker 1: our news and I hear twice in thirty seconds the 29 00:01:29,760 --> 00:01:34,600 Speaker 1: phrase atmospheric river. That no, rivers are bodies of water 30 00:01:34,720 --> 00:01:38,120 Speaker 1: that flow on the ground. Yeah, but atmosphere. You get it. 31 00:01:38,200 --> 00:01:40,280 Speaker 1: That's a river in the in the air. No, it's not. 32 00:01:42,000 --> 00:01:45,360 Speaker 1: It's so much water that it's a river. That's a rainstorm. 33 00:01:46,280 --> 00:01:49,280 Speaker 1: I know. I've been up in how many years? You 34 00:01:49,280 --> 00:01:51,240 Speaker 1: think this goes back? Now? You kind of track these 35 00:01:51,280 --> 00:01:54,480 Speaker 1: things that they've been using this term, and it hasn't 36 00:01:54,480 --> 00:01:58,920 Speaker 1: always been somewhere in the weather lexicon, but they weren't. No, well, 37 00:01:58,960 --> 00:02:01,320 Speaker 1: I remember, I think we had a really bad, a 38 00:02:01,360 --> 00:02:05,000 Speaker 1: pretty bad rain here about five years ago. Yeah, yeah, yeah, 39 00:02:05,080 --> 00:02:07,680 Speaker 1: and I think that's when I started hearing it. You're 40 00:02:07,680 --> 00:02:10,800 Speaker 1: telling me if I went to meteorology school that they 41 00:02:10,840 --> 00:02:13,360 Speaker 1: wouldn't have this in a class, and this term wouldn't 42 00:02:13,360 --> 00:02:15,079 Speaker 1: be I mean it, it's really a media thing, is 43 00:02:15,120 --> 00:02:16,960 Speaker 1: that what you're saying. I don't know it. You know what, 44 00:02:17,480 --> 00:02:21,720 Speaker 1: every every science has their own internal terms, right, their 45 00:02:21,760 --> 00:02:25,200 Speaker 1: own jargon, their own jargon. But but but this stuff, 46 00:02:25,240 --> 00:02:26,880 Speaker 1: I think the Weather Channel has hyped a lot of 47 00:02:26,880 --> 00:02:29,080 Speaker 1: this crap because the Weather Channel came up with the 48 00:02:29,120 --> 00:02:32,640 Speaker 1: idea of naming winter storms, right, you know, so you 49 00:02:32,720 --> 00:02:39,760 Speaker 1: have you know, winter storm Xavier, right, And but that 50 00:02:39,880 --> 00:02:45,680 Speaker 1: was entirely their motivation because they're the Weather Channel. I 51 00:02:45,800 --> 00:02:48,520 Speaker 1: knew that. I just thought there are weather terms. I mean, 52 00:02:48,560 --> 00:02:51,320 Speaker 1: we've just learned more about Groppel a few weeks ago, 53 00:02:51,360 --> 00:02:53,560 Speaker 1: and it's probably always been a weather term. But I 54 00:02:53,600 --> 00:02:55,200 Speaker 1: just saw the news when we had that kind of 55 00:02:55,280 --> 00:02:57,600 Speaker 1: hail slush or whatever they falling down Croppel. So I 56 00:02:57,600 --> 00:03:00,680 Speaker 1: thought atmospheric river might have always been in the weather books. 57 00:03:00,880 --> 00:03:04,160 Speaker 1: It just didn't get used until you have the problems. 58 00:03:04,800 --> 00:03:06,840 Speaker 1: That sounds right. Yeah, I knew Name in the Storms 59 00:03:06,960 --> 00:03:09,560 Speaker 1: was a phony. Weather Channel crappy thing. Wait, but you 60 00:03:09,639 --> 00:03:12,760 Speaker 1: say it's the worst website in the world, the Weather 61 00:03:12,840 --> 00:03:17,160 Speaker 1: Channel website. It's horrible that weather dot com. Yes, because 62 00:03:17,400 --> 00:03:19,800 Speaker 1: when I when I load like the ten day forecast, 63 00:03:19,880 --> 00:03:22,160 Speaker 1: the thing starts blipping on the screen and then commercials 64 00:03:22,160 --> 00:03:23,600 Speaker 1: come on. It's like, oh, get at you? What a 65 00:03:23,639 --> 00:03:27,200 Speaker 1: cheap piece of crap? Yeah? No, it's very jumpy, and 66 00:03:27,240 --> 00:03:31,600 Speaker 1: there's constantly pop ups. Yes, I'm about to look for 67 00:03:31,639 --> 00:03:33,720 Speaker 1: the day I'm looking for. Then boom the screen jumps 68 00:03:33,760 --> 00:03:35,560 Speaker 1: in and I'm like, wait, what happened? Yeah? No, there 69 00:03:35,680 --> 00:03:38,960 Speaker 1: there's actually there's there's there's other weather sites that have 70 00:03:39,080 --> 00:03:42,400 Speaker 1: more stable, more stable presentation. Oh you should send them 71 00:03:42,400 --> 00:03:46,000 Speaker 1: to me. Okay, um, ACCU weather is good. Oh okay, 72 00:03:46,200 --> 00:03:50,000 Speaker 1: aqu weather and that's nationwide. Yeah, okay, okay, so you 73 00:03:50,000 --> 00:03:52,160 Speaker 1: can look at all the different cities and whatever. You're okay, 74 00:03:52,240 --> 00:03:53,800 Speaker 1: Yeah you can. You can type in the city and 75 00:03:53,840 --> 00:03:55,800 Speaker 1: I'll give you. In fact, they really had they have 76 00:03:55,840 --> 00:03:59,200 Speaker 1: a really cool local radar. So I was a headline 77 00:03:59,200 --> 00:04:01,560 Speaker 1: I saw this morning. This is like the fiftieth atmospheric 78 00:04:01,640 --> 00:04:05,440 Speaker 1: river to hit something. You know, it's this winter, and 79 00:04:05,560 --> 00:04:10,960 Speaker 1: you know what, we have these heavy rains. We sometimes 80 00:04:11,040 --> 00:04:14,680 Speaker 1: report on something that seems to happen every time. Now 81 00:04:14,720 --> 00:04:17,080 Speaker 1: it just started raining this morning and it's going to 82 00:04:17,200 --> 00:04:20,200 Speaker 1: rain heavy tonight into tomorrow. But I was surprised to 83 00:04:20,320 --> 00:04:25,159 Speaker 1: learn that last night at six PM they had to 84 00:04:25,240 --> 00:04:29,520 Speaker 1: rescue homeless people from an island in the San Gabriel River, Nero, Zusa. 85 00:04:29,720 --> 00:04:34,160 Speaker 1: Glad you brought that up. Well, okay, Well, the reason 86 00:04:34,200 --> 00:04:35,840 Speaker 1: I was surprised at first was, well, it didn't rain 87 00:04:35,920 --> 00:04:39,800 Speaker 1: last night, but now apparently it was melting snowpack. Yes, 88 00:04:41,600 --> 00:04:44,280 Speaker 1: all right, because yeah, that's right, an area near North 89 00:04:44,320 --> 00:04:47,280 Speaker 1: Todd and Sierra Madrey Avenues. And that would make sense 90 00:04:47,320 --> 00:04:50,279 Speaker 1: because I couldn't figure out why there was rushing waters. 91 00:04:50,320 --> 00:04:52,359 Speaker 1: But that's what they were talking about, fearing that there 92 00:04:52,360 --> 00:04:55,200 Speaker 1: would be melting snow from the San Bernardino Mountains. Oh, 93 00:04:55,240 --> 00:04:59,440 Speaker 1: the rivers are going to be swollen, spilling over everywhere 94 00:05:00,000 --> 00:05:02,000 Speaker 1: in the next few weeks when it finally warms up 95 00:05:02,000 --> 00:05:04,359 Speaker 1: for real, because I got you know, they got like 96 00:05:04,400 --> 00:05:07,480 Speaker 1: six hundred inches of snow pack up north. Yeah, I'm 97 00:05:07,520 --> 00:05:10,560 Speaker 1: looking at a I guess there's some community called Pajaro 98 00:05:10,680 --> 00:05:13,600 Speaker 1: in Monterey County. It's completely flooded. This was a few 99 00:05:13,680 --> 00:05:16,520 Speaker 1: days ago. Yeah, from the rains and melting the stow 100 00:05:16,600 --> 00:05:18,640 Speaker 1: and it's bringing in all the heavy water. You're gonna 101 00:05:18,640 --> 00:05:22,479 Speaker 1: get flooding in towns that normally don't get flooded. But 102 00:05:22,560 --> 00:05:26,320 Speaker 1: all right, the reason I got excited when you mentioned 103 00:05:26,360 --> 00:05:29,400 Speaker 1: that because I actually made it. I don't make write 104 00:05:29,400 --> 00:05:32,640 Speaker 1: down notes very often for things, right, but every once 105 00:05:32,680 --> 00:05:34,880 Speaker 1: in a while something hits me. It's like, I have 106 00:05:34,960 --> 00:05:37,760 Speaker 1: to remember this for tomorrow, and I am watching. And 107 00:05:37,920 --> 00:05:40,479 Speaker 1: I usually don't like to call out specific stations because 108 00:05:40,480 --> 00:05:43,080 Speaker 1: I know people at some of the stations and my 109 00:05:43,120 --> 00:05:45,200 Speaker 1: wife those people at some of the stations, right, But 110 00:05:45,279 --> 00:05:49,279 Speaker 1: I'm gonna break that policy here because Channel four, Channel 111 00:05:49,320 --> 00:05:51,080 Speaker 1: four had a report I don't remember her name, and 112 00:05:51,120 --> 00:05:55,320 Speaker 1: she's covering this, uh, this rescue of the eight people 113 00:05:55,320 --> 00:05:58,239 Speaker 1: in the river. Right. Yeah, I would say it's Macy 114 00:05:58,320 --> 00:06:00,480 Speaker 1: Jenkins because I'm looking at the story online. All right, Well, 115 00:06:00,520 --> 00:06:03,479 Speaker 1: maybe it's her name, but you know it's NBC four 116 00:06:03,600 --> 00:06:06,400 Speaker 1: eight rescued, one missing in San Gabriel River near Rosusa. 117 00:06:06,520 --> 00:06:08,880 Speaker 1: But but you know, all these reporters, if they're not 118 00:06:08,920 --> 00:06:13,880 Speaker 1: woke themselves, they operate under woke producers and news directors 119 00:06:13,880 --> 00:06:16,440 Speaker 1: and everything. So here's where it gets in the way 120 00:06:16,440 --> 00:06:22,960 Speaker 1: of the news. I saw that, and like you, I noticed, well, 121 00:06:23,000 --> 00:06:25,080 Speaker 1: it's not raining yet, So how come they had to 122 00:06:25,080 --> 00:06:27,440 Speaker 1: be rescued from the river and they were by the way, 123 00:06:27,440 --> 00:06:29,560 Speaker 1: they were on a little island. Remember that story. The 124 00:06:29,640 --> 00:06:31,640 Speaker 1: La Times reporter went to a little island up in 125 00:06:31,680 --> 00:06:34,039 Speaker 1: Sacramento to hang out with the homeless, and so they 126 00:06:34,120 --> 00:06:36,760 Speaker 1: describing eight river rescued from the river. From eight people 127 00:06:36,880 --> 00:06:39,440 Speaker 1: rescued from the river, my first thought of how did 128 00:06:39,720 --> 00:06:43,280 Speaker 1: eight people end up in the river? Right they were fishing? 129 00:06:44,240 --> 00:06:47,200 Speaker 1: It's like eight people, that's a lot of people all 130 00:06:47,240 --> 00:06:50,360 Speaker 1: getting there was actually nine eight rescued. One is missing, 131 00:06:50,360 --> 00:06:53,320 Speaker 1: and now they stopped searching for the ninth, right, looks 132 00:06:53,440 --> 00:06:56,120 Speaker 1: like that one is probably gone. And so the story 133 00:06:56,240 --> 00:06:58,479 Speaker 1: is going on and on and on, you know, like 134 00:06:58,520 --> 00:07:01,159 Speaker 1: a minute minute, ten minutes money, And I'm thinking they're 135 00:07:01,200 --> 00:07:04,600 Speaker 1: not saying why these people are in the river, right, 136 00:07:04,640 --> 00:07:07,440 Speaker 1: so they're presenting it like this could happen to anyone exactly. 137 00:07:07,680 --> 00:07:10,160 Speaker 1: It's like, oh, this is a terrible tragedy. These poor people. 138 00:07:10,520 --> 00:07:13,240 Speaker 1: Were they pick nicking. Did you see the interview with 139 00:07:13,320 --> 00:07:17,800 Speaker 1: jose Kiros, who lives nearby. No, he said, I've noticed 140 00:07:17,800 --> 00:07:19,840 Speaker 1: that the homeless people go further and further in to 141 00:07:19,840 --> 00:07:21,800 Speaker 1: get away from people. So it's going to happen eventually 142 00:07:21,840 --> 00:07:24,040 Speaker 1: with all the water that's been coming in. Well in 143 00:07:24,080 --> 00:07:25,840 Speaker 1: the middle of the report, they did say the people 144 00:07:25,880 --> 00:07:28,520 Speaker 1: appear to be unhoused. Well after about a minute and a 145 00:07:28,480 --> 00:07:33,000 Speaker 1: a half, finally the reporter says, and these people who 146 00:07:33,040 --> 00:07:37,360 Speaker 1: are experiencing homelessness. It's like, first of all, took you 147 00:07:37,400 --> 00:07:40,080 Speaker 1: a minute and a half to pinpoint the car because 148 00:07:40,120 --> 00:07:41,760 Speaker 1: I saw you, you know that. I think they had 149 00:07:41,760 --> 00:07:45,960 Speaker 1: a helicopter. They were dropping a rope. I'm thinking, oh 150 00:07:46,040 --> 00:07:48,960 Speaker 1: my god, that looks dangerous, that's scary, that costs money. 151 00:07:48,960 --> 00:07:51,480 Speaker 1: Who are we doing this for? Right? But let me 152 00:07:51,520 --> 00:07:53,880 Speaker 1: put you on a quandary. Would you like to be 153 00:07:53,880 --> 00:07:56,480 Speaker 1: in a quandary? Isn't this where you want the homeless 154 00:07:56,520 --> 00:08:00,560 Speaker 1: to go? They're not. They're on an island, Briel River. 155 00:08:00,760 --> 00:08:03,080 Speaker 1: They're not plunked down on your street, corner in the park, 156 00:08:03,200 --> 00:08:05,800 Speaker 1: or she's in the Venice board walk. I just resented 157 00:08:05,880 --> 00:08:08,760 Speaker 1: that the reporter wouldn't say they were homeless. And then 158 00:08:08,760 --> 00:08:11,200 Speaker 1: when she finally got to it a minute after the story, 159 00:08:11,240 --> 00:08:12,840 Speaker 1: I'm going, how did they get there? How did they 160 00:08:12,840 --> 00:08:14,520 Speaker 1: get there? How did they? Because they gotta tune is 161 00:08:14,560 --> 00:08:16,920 Speaker 1: people need our help, no matter what their background. And 162 00:08:16,960 --> 00:08:20,160 Speaker 1: then that phrase experiencing homelessness, which is now banned along 163 00:08:20,200 --> 00:08:23,600 Speaker 1: with atmospheric river. Well, the news the article online says 164 00:08:23,640 --> 00:08:25,720 Speaker 1: appeared to be on housed. Is that no good either 165 00:08:27,040 --> 00:08:33,040 Speaker 1: appeared to be unhoused. Stop it the way she said it, 166 00:08:33,040 --> 00:08:36,320 Speaker 1: it's like they were like you experience an asthma attack 167 00:08:36,440 --> 00:08:41,120 Speaker 1: right now. The John Cobelt Network. We appear to be bums. Yes, No, 168 00:08:41,280 --> 00:08:44,160 Speaker 1: they don't appear to be They are vagrants. Homeless was 169 00:08:44,200 --> 00:08:46,960 Speaker 1: as far as I was willing to go. But they're vagrants. 170 00:08:46,960 --> 00:08:55,240 Speaker 1: They're bums. They're not experiencing homelessness. Used are unused neighbors 171 00:08:55,240 --> 00:08:58,439 Speaker 1: obviously on the their own house. They're being swept away 172 00:08:58,960 --> 00:09:02,480 Speaker 1: in fifty degree water. Odds are they don't have a home, 173 00:09:02,679 --> 00:09:05,520 Speaker 1: because who amongst us who have a home ends up 174 00:09:05,559 --> 00:09:08,600 Speaker 1: in fifty degree water going down river at thirty miles 175 00:09:08,640 --> 00:09:11,800 Speaker 1: an hour in the middle of March. Yeah, so it 176 00:09:11,920 --> 00:09:14,880 Speaker 1: was the product of snowmelt rushing downstream from the mountains. 177 00:09:14,880 --> 00:09:17,480 Speaker 1: One guy said, it's deceiving. The first foot of water 178 00:09:17,600 --> 00:09:20,760 Speaker 1: is probably tranquil, but after that the speed gets very 179 00:09:20,800 --> 00:09:22,960 Speaker 1: strong and can pull you underneath. Yeah, that's afertainly what 180 00:09:22,960 --> 00:09:25,880 Speaker 1: happened to this crowd who was camped on an island 181 00:09:28,600 --> 00:09:30,040 Speaker 1: and they were a little out of touch from the 182 00:09:30,080 --> 00:09:32,840 Speaker 1: news right. They don't know that the Weather Service has 183 00:09:33,000 --> 00:09:40,199 Speaker 1: has flood warnings, flood watches. I'm I'm not enjoying the 184 00:09:40,240 --> 00:09:43,640 Speaker 1: world most most moments. We have new information we think 185 00:09:43,640 --> 00:09:47,360 Speaker 1: you will enjoy. Concerning phil Silicon Valley Bank, the one 186 00:09:47,400 --> 00:09:51,280 Speaker 1: that went to belly up, involving the newsoms with their 187 00:09:51,400 --> 00:09:55,719 Speaker 1: talk about look at the newsoms, both of them. I know, 188 00:09:55,880 --> 00:09:58,079 Speaker 1: But the way these right wing websites portrayed it's like 189 00:09:58,080 --> 00:10:01,480 Speaker 1: the newsoms did this think they did? Do you think 190 00:10:01,480 --> 00:10:03,840 Speaker 1: they did? I think because that's VB to go under. 191 00:10:03,960 --> 00:10:07,280 Speaker 1: That's right. We'll get to that coming up. Johnny kN 192 00:10:07,360 --> 00:10:09,640 Speaker 1: kf I AM six forty. We're live everywhere the iHeart 193 00:10:09,720 --> 00:10:13,199 Speaker 1: radio app. You're listening to John and Ken on demand 194 00:10:13,600 --> 00:10:18,840 Speaker 1: from kf I AM sixty. Yeah. So Biden's is he 195 00:10:18,840 --> 00:10:21,559 Speaker 1: in Monterey Park yet? No? I don't know. I don't 196 00:10:21,600 --> 00:10:24,600 Speaker 1: see anything on TV. No. No, they're still waiting for him. 197 00:10:25,200 --> 00:10:29,040 Speaker 1: He was supposed to drive there, I guess from arriving 198 00:10:29,080 --> 00:10:34,360 Speaker 1: at LAX anyway. It's an executive order control it. There's 199 00:10:34,400 --> 00:10:36,840 Speaker 1: nothing to it. I read it. There's nothing there. It's 200 00:10:36,840 --> 00:10:39,880 Speaker 1: say you know what it is, well, well, well will 201 00:10:39,880 --> 00:10:43,600 Speaker 1: preempt his speech here. What it is is he's going 202 00:10:43,640 --> 00:10:47,840 Speaker 1: to direct federal agencies to call the state agencies and 203 00:10:47,960 --> 00:10:52,640 Speaker 1: make sure that they're enforcing the law that's in Call them, 204 00:10:52,640 --> 00:10:55,800 Speaker 1: actually yeah, call them actually yeah? And then what the 205 00:10:55,800 --> 00:10:57,400 Speaker 1: state agency looks at his phone and thinks it's a 206 00:10:57,440 --> 00:11:00,600 Speaker 1: spam call and then just hits you know. Yeah, it's right, 207 00:11:00,760 --> 00:11:02,560 Speaker 1: it's the off button. That's all it is. It's not 208 00:11:02,800 --> 00:11:05,720 Speaker 1: creating any new law. I just is telling the Justice 209 00:11:05,920 --> 00:11:07,880 Speaker 1: there was something to do with more background check stuff, 210 00:11:08,120 --> 00:11:10,719 Speaker 1: the old background checks. He can't do. No, it's to 211 00:11:10,960 --> 00:11:14,000 Speaker 1: enforce the existing background checks and make the whole system 212 00:11:14,040 --> 00:11:17,520 Speaker 1: work better. Okay, it's going to stop all shooting. It's 213 00:11:17,600 --> 00:11:20,520 Speaker 1: it's nothing. It's just virtue signaling. I think he just 214 00:11:20,520 --> 00:11:21,920 Speaker 1: wanted a reason because they wants to come here and 215 00:11:21,960 --> 00:11:26,640 Speaker 1: probably fundraise. Yes, that's that's exactly what they do. They 216 00:11:26,679 --> 00:11:29,280 Speaker 1: tend that the president. They tell the President, hey, we 217 00:11:29,320 --> 00:11:31,199 Speaker 1: got a lot of fundraising in California. We're going to 218 00:11:31,240 --> 00:11:33,959 Speaker 1: create a political event to get you on the news 219 00:11:34,000 --> 00:11:36,479 Speaker 1: that night. Yeah, there you go. And what's more sympathetic 220 00:11:36,480 --> 00:11:39,400 Speaker 1: obviously the terrible Monterey Park shootings from two months ago. 221 00:11:39,480 --> 00:11:43,680 Speaker 1: So I would imagine that man that disarmed the shooter 222 00:11:43,760 --> 00:11:45,280 Speaker 1: will probably be there again. I mean, that was a 223 00:11:45,320 --> 00:11:48,240 Speaker 1: great story that he did that, But that's probably another 224 00:11:48,480 --> 00:11:50,720 Speaker 1: thing that they'll add to this to get the media 225 00:11:50,760 --> 00:11:53,280 Speaker 1: more of how he went to DC and that Biden there. 226 00:11:53,320 --> 00:11:55,720 Speaker 1: But I would be surprised if he's there today with 227 00:11:55,760 --> 00:11:58,680 Speaker 1: Biden when he appears in Monterey Park. There's no real 228 00:11:58,760 --> 00:12:03,559 Speaker 1: news in it, cly, nothing's going to change. So yeah. So, 229 00:12:03,840 --> 00:12:06,160 Speaker 1: of course one of the big stories is the failure 230 00:12:06,280 --> 00:12:09,720 Speaker 1: of a Silicon Valley Bank s v B. There's a 231 00:12:09,760 --> 00:12:12,240 Speaker 1: couple of things we found out in the last twenty 232 00:12:12,240 --> 00:12:13,960 Speaker 1: four hours that we thought you might like to know. 233 00:12:14,240 --> 00:12:17,040 Speaker 1: One of them deals with Governor Dippity do we learned 234 00:12:17,080 --> 00:12:21,240 Speaker 1: from Open the Books and the Intercept. The intercept dot 235 00:12:21,240 --> 00:12:24,840 Speaker 1: com has had a right. No, that's a good investigative website. 236 00:12:24,880 --> 00:12:28,199 Speaker 1: It's investigative website. Okay, yes, I've seen it maybe once 237 00:12:28,280 --> 00:12:30,559 Speaker 1: or twice in the history of our show, but it 238 00:12:30,920 --> 00:12:36,080 Speaker 1: popped up. Ken Klippenstein writes on Monday, Knewsom praise the 239 00:12:36,120 --> 00:12:39,319 Speaker 1: Biden administration's decision to intervene on behalf of Silicon Valley 240 00:12:39,320 --> 00:12:42,599 Speaker 1: Banks clients after the bank was taken over by the FDIC, 241 00:12:43,320 --> 00:12:45,920 Speaker 1: I'm in a bank run. The White House acted swiftly 242 00:12:45,920 --> 00:12:48,839 Speaker 1: and decisively to protect the American economic and strengthened public 243 00:12:48,840 --> 00:12:52,120 Speaker 1: confidence in our banking system. But Newsom didn't mention that 244 00:12:52,240 --> 00:12:55,040 Speaker 1: it also protected his own companies if they held over 245 00:12:55,080 --> 00:12:58,320 Speaker 1: two hundred and fifty thousand dollars in deposits, because that's 246 00:12:58,360 --> 00:13:04,079 Speaker 1: apparently the deal. Three wineries owned by Newsom's or clients 247 00:13:04,120 --> 00:13:07,600 Speaker 1: of SVB. This would be Kade Odette and of course 248 00:13:07,640 --> 00:13:14,560 Speaker 1: the dreaded plump Jack. Plump Jack. That name really bothers me. Yes, there, 249 00:13:14,920 --> 00:13:21,080 Speaker 1: they're clients. They Knewsom maintains personal accounts at at the bank. Yeah, 250 00:13:21,160 --> 00:13:25,920 Speaker 1: one of his h one of Newsom's old employees leaked 251 00:13:25,920 --> 00:13:29,959 Speaker 1: this story anonymously. Oh is that how? It says? According 252 00:13:29,960 --> 00:13:33,199 Speaker 1: to a long time former employee of Newsom's who handled 253 00:13:33,240 --> 00:13:38,079 Speaker 1: his finances and requested anonymity to avoid professional reprisal. Well, 254 00:13:38,160 --> 00:13:39,960 Speaker 1: Newsom's going to figure out who it is. How many 255 00:13:39,960 --> 00:13:43,040 Speaker 1: people does he have handling his family finances? It's true, 256 00:13:43,080 --> 00:13:45,280 Speaker 1: although it's a former employee, So I have to go 257 00:13:45,320 --> 00:13:46,840 Speaker 1: through all the people that used to work there and 258 00:13:46,960 --> 00:13:50,400 Speaker 1: say who would who would give up the information? Now, 259 00:13:50,400 --> 00:13:53,040 Speaker 1: of course The only response from the spokeshole for Newsom, 260 00:13:53,160 --> 00:13:57,360 Speaker 1: good Old Nathan Click is that the governorsm's business and 261 00:13:57,360 --> 00:13:59,600 Speaker 1: financial holdings are held and maintained by a blind trust, 262 00:14:00,040 --> 00:14:01,800 Speaker 1: as they have been since he was first elected governor 263 00:14:01,840 --> 00:14:04,520 Speaker 1: in twenty eighteen, meaning we have no idea and we're 264 00:14:04,520 --> 00:14:07,800 Speaker 1: not gonna tell you anything. Also, they didn't mention that 265 00:14:07,880 --> 00:14:12,720 Speaker 1: the wife, Jennifer Sybel has she's got connections here too. 266 00:14:12,960 --> 00:14:15,440 Speaker 1: Silicon Valley Bank gave one hundred thousand dollars to the 267 00:14:15,559 --> 00:14:18,880 Speaker 1: charity founded But oh, that California Partner's Project, that's the 268 00:14:18,880 --> 00:14:21,680 Speaker 1: one that makes the woke film makes the woke feminism 269 00:14:21,720 --> 00:14:25,120 Speaker 1: films that nobody watches, that schools are forced to take 270 00:14:25,120 --> 00:14:30,920 Speaker 1: and pay for it. Yes, yeah, Governor Newsom's wife wants 271 00:14:30,920 --> 00:14:32,680 Speaker 1: you to show this to the kids and pay us 272 00:14:32,760 --> 00:14:35,720 Speaker 1: a couple of thousand dollars. You're gonna watch this and 273 00:14:35,760 --> 00:14:39,240 Speaker 1: you're gonna pay me for it. That's what she tells 274 00:14:39,240 --> 00:14:43,480 Speaker 1: the kids. Somebody named John China, who's president of SVB 275 00:14:43,800 --> 00:14:46,800 Speaker 1: Capital and responsible for their funds management, good job. It's 276 00:14:46,880 --> 00:14:51,200 Speaker 1: himself a founding member of Jennifer Newsome's California Partner Projects. 277 00:14:51,200 --> 00:14:55,200 Speaker 1: Support of directors well, yeah, I k Newsom thinks he's 278 00:14:55,320 --> 00:14:57,720 Speaker 1: a tech gurger, right, that's why he speaks in all 279 00:14:57,760 --> 00:15:01,920 Speaker 1: that complicated jargon that no, but he understands, right, he's 280 00:15:02,000 --> 00:15:03,880 Speaker 1: buddies with a lot of the tech guys. This is 281 00:15:03,920 --> 00:15:06,840 Speaker 1: their bank and that's where he put his plump jack buddy. 282 00:15:07,040 --> 00:15:10,480 Speaker 1: And there is there any fool in the world who 283 00:15:10,520 --> 00:15:13,840 Speaker 1: actually believes these blind trusts are really blind trusts. You 284 00:15:13,920 --> 00:15:17,360 Speaker 1: really think Newsom hasn't gotten any news about his companies 285 00:15:17,360 --> 00:15:20,480 Speaker 1: for the last five years. No, no, no, In fact, 286 00:15:20,600 --> 00:15:25,200 Speaker 1: even forgot that he had accounts at SVB. He didn't know. So. Yeah, 287 00:15:25,240 --> 00:15:28,560 Speaker 1: because at the time that he put it in a 288 00:15:28,560 --> 00:15:31,320 Speaker 1: blind trust, some reporters asked if he was going to 289 00:15:31,400 --> 00:15:33,640 Speaker 1: sell his companies and he goes, oh, oh no, I 290 00:15:33,680 --> 00:15:36,280 Speaker 1: couldn't do that. That's my babies, that's that's my family. 291 00:15:37,080 --> 00:15:39,480 Speaker 1: He looked, my political career is gonna wash out some 292 00:15:39,520 --> 00:15:42,720 Speaker 1: maybe need yeah eventually, Yeah, he did say that these 293 00:15:42,720 --> 00:15:45,200 Speaker 1: are my babies, my life, my family. I can't do that. 294 00:15:45,240 --> 00:15:47,760 Speaker 1: I can't sell them. Yeah. So a guy who feels 295 00:15:48,320 --> 00:15:52,480 Speaker 1: that deeply about his wineries that he calls him my babies, 296 00:15:52,880 --> 00:15:55,920 Speaker 1: you think he would leave his babies unattended for five years. 297 00:15:57,800 --> 00:16:00,600 Speaker 1: But Loda luie. But hey, everybody, he goes along with 298 00:16:00,640 --> 00:16:04,000 Speaker 1: the fiction, right except I remember when Trump was elected 299 00:16:04,040 --> 00:16:06,280 Speaker 1: and he supposedly put them in a blind trust. Oh, 300 00:16:06,320 --> 00:16:08,840 Speaker 1: nobody believed it, right, right, everybody scoffed, Right, Well, your 301 00:16:08,840 --> 00:16:11,680 Speaker 1: sons are running at alcohol. Come on, Trump knows exactly 302 00:16:11,760 --> 00:16:14,000 Speaker 1: what's going on his hands on all the time. He 303 00:16:14,040 --> 00:16:17,000 Speaker 1: would never put his billions in a blind trusts. And 304 00:16:17,040 --> 00:16:21,240 Speaker 1: they're right to scoff because Trump has probably from himself 305 00:16:21,280 --> 00:16:25,440 Speaker 1: every day. Well, Newsom has been two. We also learned 306 00:16:25,440 --> 00:16:28,720 Speaker 1: that SVB gave one hundred thousand dollars in corporate gifts 307 00:16:28,800 --> 00:16:32,200 Speaker 1: to Jennifer Newsom's nonprofit. Isn't that nice? Yeah, so to 308 00:16:32,280 --> 00:16:36,560 Speaker 1: help her make these important feminine documentaries. So they're really 309 00:16:36,640 --> 00:16:41,320 Speaker 1: tied into this bank, it appears. Um. However, I don't 310 00:16:41,360 --> 00:16:43,520 Speaker 1: look at this and say, I mean, people are all saying, well, 311 00:16:43,520 --> 00:16:46,080 Speaker 1: he should be transparent and explain that he's certainly has 312 00:16:46,080 --> 00:16:48,600 Speaker 1: connections to SVB. But I don't think it any to 313 00:16:48,640 --> 00:16:50,880 Speaker 1: do with the dawnfall of the bank and their bad 314 00:16:50,960 --> 00:16:56,440 Speaker 1: investment decisions. People. There's some sort of insidious look to 315 00:16:56,480 --> 00:16:58,640 Speaker 1: these stories. I know, I know What are the newsoms 316 00:16:58,720 --> 00:17:00,640 Speaker 1: up to, What are they hiding? What did they know 317 00:17:00,920 --> 00:17:03,760 Speaker 1: that they bring down this bank for some reason. Here's 318 00:17:03,760 --> 00:17:06,960 Speaker 1: the thing about this story that bugs me. The law 319 00:17:07,240 --> 00:17:10,200 Speaker 1: is that your deposits are guaranteed up to two hundred 320 00:17:10,200 --> 00:17:15,600 Speaker 1: and fifty thousand dollars. Now nobody really believes in this though, right, 321 00:17:16,480 --> 00:17:20,560 Speaker 1: because all these companies, we're pouring in millions, tens of 322 00:17:20,600 --> 00:17:23,960 Speaker 1: millions of dollars in deposits, and then when it comes 323 00:17:24,000 --> 00:17:29,080 Speaker 1: time to say, oh, I'm sorry, that's not insured. Right, 324 00:17:29,119 --> 00:17:31,200 Speaker 1: you're supposed to be, You're supposed to be out of luck, 325 00:17:32,040 --> 00:17:34,560 Speaker 1: But all of a sudden it's like, oh, okay, will 326 00:17:34,640 --> 00:17:38,520 Speaker 1: insure it. Well, what's the law then, is are they 327 00:17:38,520 --> 00:17:42,080 Speaker 1: insured or not insured? The reason for that, if it's 328 00:17:42,080 --> 00:17:44,960 Speaker 1: a limited number of banks, they'll cover it all because 329 00:17:45,000 --> 00:17:48,600 Speaker 1: they don't want people to lose confidence in the banking system. Clearly, 330 00:17:48,880 --> 00:17:51,720 Speaker 1: if thousands of banks fail, they don't have enough to cover. 331 00:17:51,920 --> 00:17:54,240 Speaker 1: But it would teach the son of saying we're gonna 332 00:17:54,240 --> 00:17:57,280 Speaker 1: make an exception so this doesn't get bigger. There were 333 00:17:57,280 --> 00:17:59,400 Speaker 1: a lot of exceptions fifteen years ago. Now we got 334 00:17:59,400 --> 00:18:01,360 Speaker 1: a bunch, oh, we got a bunch of more. Every 335 00:18:01,359 --> 00:18:04,800 Speaker 1: time it happens, they make an exception, right, what's the 336 00:18:04,800 --> 00:18:06,320 Speaker 1: point of the law. Then they get rid of the 337 00:18:06,359 --> 00:18:08,520 Speaker 1: law and just say hey, But because there could be 338 00:18:08,640 --> 00:18:10,840 Speaker 1: people who here, Oh I got more than two hundred 339 00:18:10,880 --> 00:18:13,000 Speaker 1: fifty thousand in that bank, I gotta take it out 340 00:18:13,119 --> 00:18:15,159 Speaker 1: in case it fails, because they're not going to cover me. 341 00:18:15,640 --> 00:18:19,040 Speaker 1: But when they do cover, like they're doing svb's depositors, 342 00:18:19,280 --> 00:18:21,520 Speaker 1: those people I'm talking about, people invested in other banks, 343 00:18:21,880 --> 00:18:23,919 Speaker 1: may relax a little bit and not run on their 344 00:18:23,920 --> 00:18:26,840 Speaker 1: bank and take everything over to fifty out. I guess. 345 00:18:26,920 --> 00:18:29,480 Speaker 1: So it's a lot of these SVB as we found out, 346 00:18:29,520 --> 00:18:32,679 Speaker 1: they're all supposedly they're big Democratic donors that don't connect 347 00:18:32,680 --> 00:18:35,919 Speaker 1: the huge because it's Silicon Valley, I mean, right exactly, 348 00:18:36,840 --> 00:18:38,840 Speaker 1: would you not expect anything else that would be it's 349 00:18:38,840 --> 00:18:41,919 Speaker 1: a lot of tech people that I wonder in capital. 350 00:18:42,000 --> 00:18:43,960 Speaker 1: So if this was the first bank of Tobique to 351 00:18:44,040 --> 00:18:45,920 Speaker 1: pick of Kansas, would they be getting the same kind 352 00:18:45,960 --> 00:18:48,879 Speaker 1: of treatment. That's a good question. All right, We got 353 00:18:48,960 --> 00:18:50,800 Speaker 1: more coming up. John and Ken kf I am six 354 00:18:50,960 --> 00:18:54,639 Speaker 1: forty live everywhere the iHeart Radio Act. You're listening to 355 00:18:54,720 --> 00:19:00,600 Speaker 1: John and Ken on demand from kf I AM sixty Yeah, 356 00:19:00,720 --> 00:19:02,919 Speaker 1: or on one to four. So if you do not 357 00:19:03,080 --> 00:19:05,360 Speaker 1: have the opportunity to hear this show live during those 358 00:19:05,400 --> 00:19:07,440 Speaker 1: three hours, you can pick up the podcast right there 359 00:19:07,440 --> 00:19:09,679 Speaker 1: after four o'clock. Who will be posting up the hours 360 00:19:10,200 --> 00:19:12,720 Speaker 1: at caf I Am sixty dot com, the John and 361 00:19:12,800 --> 00:19:17,119 Speaker 1: Kent page, or just use the handy ever present iHeartRadio app. 362 00:19:17,680 --> 00:19:20,680 Speaker 1: We'll be talking next hour about a story that's three 363 00:19:20,760 --> 00:19:25,280 Speaker 1: years old March of twenty twenty, when COVID mania was 364 00:19:25,320 --> 00:19:28,120 Speaker 1: what was going on in the US. Who reported on 365 00:19:28,119 --> 00:19:32,119 Speaker 1: one of these care facilities where a bunch of people died. 366 00:19:32,760 --> 00:19:35,720 Speaker 1: It's this one is in the Fairfax District. It was 367 00:19:36,040 --> 00:19:40,640 Speaker 1: a care facility for dementia patients and apparently they took 368 00:19:40,640 --> 00:19:43,760 Speaker 1: in a New Yorker. They were not supposed admit anyone 369 00:19:43,880 --> 00:19:45,879 Speaker 1: from a high risk area like New York City, but 370 00:19:45,920 --> 00:19:49,000 Speaker 1: they took in a patient from New York City who 371 00:19:49,080 --> 00:19:55,280 Speaker 1: apparently spread COVID everywhere in that facility and people died. 372 00:19:56,600 --> 00:19:59,679 Speaker 1: Thirteen residents and one employee died forty five employees in 373 00:19:59,680 --> 00:20:03,600 Speaker 1: sixty residents were infected. Blake Trolley will be along after 374 00:20:03,720 --> 00:20:07,439 Speaker 1: two with the story that gascon John the l a 375 00:20:07,600 --> 00:20:11,560 Speaker 1: county district attorney is charging the operators of that care 376 00:20:11,600 --> 00:20:14,760 Speaker 1: facility with the elder abuse and other criminal accounts. So 377 00:20:14,840 --> 00:20:20,600 Speaker 1: we're getting all the details. Charge Barbara Farrere. Barbara, she 378 00:20:20,720 --> 00:20:25,760 Speaker 1: had a policy that intentionally sent COVID patients into nursing 379 00:20:25,800 --> 00:20:29,359 Speaker 1: homes for a while. Oh and that caused that caused 380 00:20:29,359 --> 00:20:31,680 Speaker 1: a lot of deaths that in the early days, it 381 00:20:31,800 --> 00:20:34,560 Speaker 1: was fifty percent of the daily death tonel people were 382 00:20:34,640 --> 00:20:37,600 Speaker 1: dying in nursing homes and other care facilities because they 383 00:20:37,640 --> 00:20:41,840 Speaker 1: had a policy to send him in there. And then 384 00:20:41,840 --> 00:20:45,360 Speaker 1: she switched the policy after she saw all the dead bodies. Yeah, 385 00:20:45,359 --> 00:20:47,440 Speaker 1: I remember New York State had that problem too, didn't 386 00:20:47,440 --> 00:20:50,679 Speaker 1: Oh yeah, yeah, Cuomo killed the Almo's Health Department was 387 00:20:50,720 --> 00:20:53,600 Speaker 1: making them take in people. And Cuomo and Barbara Ferrere, 388 00:20:53,880 --> 00:20:57,280 Speaker 1: between the two of them, we killed thousands of elderly people. 389 00:20:58,040 --> 00:21:01,800 Speaker 1: Before we leave the bankings story, one of the big 390 00:21:01,840 --> 00:21:06,560 Speaker 1: financial stories today is the Moodies did cut their outlook 391 00:21:06,560 --> 00:21:10,280 Speaker 1: on the entire US banking system, the whole thing. But yeah, 392 00:21:10,280 --> 00:21:13,840 Speaker 1: I'm moving it from stable to negative? What is it? 393 00:21:14,280 --> 00:21:16,360 Speaker 1: What are you a financial export? Does that really mean? 394 00:21:16,480 --> 00:21:19,119 Speaker 1: That means I should withdraw My money is that they 395 00:21:19,160 --> 00:21:21,480 Speaker 1: think more bad things are going to happen, more banks 396 00:21:21,520 --> 00:21:24,520 Speaker 1: are going to collapse. Well, they think more banks. Probably 397 00:21:24,560 --> 00:21:28,200 Speaker 1: bought these bonds a while back when the interest rates 398 00:21:28,200 --> 00:21:30,720 Speaker 1: were low and they haven't sold them, and they're going 399 00:21:30,760 --> 00:21:33,360 Speaker 1: to have to ride off the losses and they may 400 00:21:33,400 --> 00:21:36,760 Speaker 1: not have enough money to cover the reserve that they're 401 00:21:36,800 --> 00:21:41,640 Speaker 1: supposed to have. Credit Suisse, Yeah, the Credit Suisses, it's 402 00:21:41,640 --> 00:21:44,240 Speaker 1: in some troubles. That's Switzerland. And yeah, that is the 403 00:21:44,320 --> 00:21:48,400 Speaker 1: eighth largest investment bank in the world. And last night 404 00:21:48,760 --> 00:21:53,920 Speaker 1: there is an investor named Robert Ayasaki. He predicted the 405 00:21:54,000 --> 00:21:57,320 Speaker 1: Layman Brothers collapse back in two thousand and eight, and 406 00:21:57,440 --> 00:22:00,880 Speaker 1: he's calling this. He says, my prediction the next bank 407 00:22:00,920 --> 00:22:04,119 Speaker 1: to goes Credit Suiss because the bond market is crashing. 408 00:22:05,119 --> 00:22:08,119 Speaker 1: Bond market is much bigger than the stock market, and 409 00:22:08,160 --> 00:22:09,879 Speaker 1: they had the same thing. They had a lot of 410 00:22:10,200 --> 00:22:13,480 Speaker 1: investments in these long term seems to be because they 411 00:22:13,520 --> 00:22:18,399 Speaker 1: admitted that they have material weakness and that they have 412 00:22:19,960 --> 00:22:26,800 Speaker 1: a problem with their risk management. Oh, here it is due, says. 413 00:22:26,840 --> 00:22:31,200 Speaker 1: The weaknesses were a failure to design and maintain an 414 00:22:31,200 --> 00:22:35,880 Speaker 1: effective risk assessment process, to identify and analyze the risk 415 00:22:36,040 --> 00:22:40,880 Speaker 1: of material misstatements. It's a lot of gibberish. It's probably 416 00:22:40,920 --> 00:22:43,680 Speaker 1: the same issue. You know, they put all the all 417 00:22:43,720 --> 00:22:48,600 Speaker 1: the eggs in the long term treasury bond basket. Well, 418 00:22:48,640 --> 00:22:50,679 Speaker 1: they got a boost today on Wall Street some of 419 00:22:50,680 --> 00:22:52,520 Speaker 1: the banks did. Remember yesterday the big story was some 420 00:22:52,560 --> 00:22:55,800 Speaker 1: of the regional bank stocks were just plummeting. One of them. 421 00:22:55,840 --> 00:22:59,560 Speaker 1: First Republic Bank clawed back most of their losses from 422 00:22:59,640 --> 00:23:02,480 Speaker 1: yesterday as they was their worst sell off in three years. 423 00:23:02,520 --> 00:23:06,480 Speaker 1: But apparently, and this is what happens now, people now decide, well, 424 00:23:06,520 --> 00:23:08,800 Speaker 1: there are bargains to be had. Yes, So it looks 425 00:23:08,840 --> 00:23:11,360 Speaker 1: like some people picked up stock in that company today 426 00:23:11,440 --> 00:23:15,000 Speaker 1: and made maybe bigenal bailout First Republic if they have 427 00:23:15,119 --> 00:23:19,720 Speaker 1: some kind of collapse, right right, that's all the discussion 428 00:23:19,720 --> 00:23:22,720 Speaker 1: about whether we should tighten rules and regulations on the bikes. 429 00:23:22,760 --> 00:23:26,160 Speaker 1: Did they blame Trump for this too? They blamed Trump. Well, 430 00:23:26,520 --> 00:23:29,520 Speaker 1: after two thousand and eight, they put tight regulations on 431 00:23:30,359 --> 00:23:33,639 Speaker 1: all the banks, and the idea was that the Feds 432 00:23:33,640 --> 00:23:36,080 Speaker 1: were going to check you every so often to make 433 00:23:36,080 --> 00:23:40,480 Speaker 1: sure you had enough reserves and you weren't investing the 434 00:23:40,560 --> 00:23:43,719 Speaker 1: money on hand in any unusual ways that could cause trouble. 435 00:23:44,040 --> 00:23:50,600 Speaker 1: But in twenty eighteen, Republicans and Democrats big majority, voted 436 00:23:50,640 --> 00:23:53,920 Speaker 1: in the House and Senate to drop that requirement for 437 00:23:54,040 --> 00:23:58,520 Speaker 1: the smaller banks more midsize banks like Silicon Valley, and 438 00:23:58,600 --> 00:24:02,600 Speaker 1: Trump signed it. Trump's administration was pushing it, but both 439 00:24:02,600 --> 00:24:06,560 Speaker 1: parties went for it, and Silicon Valley Bank was didn't 440 00:24:06,600 --> 00:24:10,560 Speaker 1: have those restrictions anymore, but they still had federal regulators 441 00:24:10,560 --> 00:24:12,879 Speaker 1: that were supposed to be looking in their books. And 442 00:24:12,960 --> 00:24:15,200 Speaker 1: I don't know what that guys were. Those guys were drinking. 443 00:24:15,240 --> 00:24:19,320 Speaker 1: I suppose the Department of Justice is now investigating the 444 00:24:19,400 --> 00:24:25,040 Speaker 1: Silicon Valley Bank collapse too late. Now there includes examining 445 00:24:25,080 --> 00:24:29,080 Speaker 1: the executive's share sales before the bags failure. That's always 446 00:24:29,080 --> 00:24:32,960 Speaker 1: a good one. There's always executives with the inside information. 447 00:24:33,000 --> 00:24:37,080 Speaker 1: They know what's coming, so they sell their shares. Yes, 448 00:24:37,160 --> 00:24:42,800 Speaker 1: I know millions of dollars worth. SVB Financial chief executive 449 00:24:43,240 --> 00:24:46,480 Speaker 1: was optimistic before his bank collapsed, saying in a conference 450 00:24:46,560 --> 00:24:49,000 Speaker 1: last week, it's a great time to start a company. 451 00:24:50,800 --> 00:24:54,280 Speaker 1: His name is Greg Becker. Yeah, it was he holding 452 00:24:54,440 --> 00:24:56,840 Speaker 1: the bags of money that he took out of the place. 453 00:24:57,440 --> 00:25:01,680 Speaker 1: When he said that well, you know, it's like members 454 00:25:01,720 --> 00:25:04,160 Speaker 1: of Congress do this sometimes, right, they had some good 455 00:25:04,160 --> 00:25:06,639 Speaker 1: insight information on a stock going up or down, and 456 00:25:06,720 --> 00:25:08,560 Speaker 1: I get in there before the public finds out much 457 00:25:08,560 --> 00:25:11,640 Speaker 1: because they're all CRUs He also gave thousands of dollars 458 00:25:11,680 --> 00:25:15,160 Speaker 1: to a lot of his employees hours before the Fed 459 00:25:15,200 --> 00:25:18,440 Speaker 1: showed up and locked the doors. That was that, right, Yeah, yeah, 460 00:25:18,480 --> 00:25:22,920 Speaker 1: that was there was a little like mister Becker exercised 461 00:25:22,920 --> 00:25:26,159 Speaker 1: options on twelve thousand, four hundred and fifty one shares 462 00:25:26,200 --> 00:25:29,639 Speaker 1: on February twenty seventh, sold them the same day, netting 463 00:25:29,640 --> 00:25:33,360 Speaker 1: about two point three million dollars. The chief financial officer, 464 00:25:33,920 --> 00:25:37,000 Speaker 1: Beck sold over five hundred and seventy five thousand dollars 465 00:25:37,000 --> 00:25:39,520 Speaker 1: worth of shares on February twenty seven, roughly a third 466 00:25:39,520 --> 00:25:41,359 Speaker 1: of his holdings in the company. Yeah, that's gonna for 467 00:25:41,480 --> 00:25:48,000 Speaker 1: their legal fees. They both sales were done under the 468 00:25:48,040 --> 00:25:51,440 Speaker 1: so called ten B five Dash one plans filed thirty 469 00:25:51,520 --> 00:25:54,399 Speaker 1: days earlier. Right, So that's their cover that they had 470 00:25:54,440 --> 00:25:57,800 Speaker 1: done us long before. They play. Yeah, except they knew 471 00:25:57,880 --> 00:26:00,560 Speaker 1: this was going to happen for a while, right, I know, 472 00:26:01,359 --> 00:26:03,200 Speaker 1: all right, we got more coming up, John and ken 473 00:26:03,280 --> 00:26:06,199 Speaker 1: kf I AM six forty. We're live everywhere on the 474 00:26:06,320 --> 00:26:10,360 Speaker 1: iHeartRadio app. You're listening to John and Ken on demand 475 00:26:10,760 --> 00:26:17,000 Speaker 1: from kf I AM sixty. Coming up after two o'clock, 476 00:26:17,040 --> 00:26:19,640 Speaker 1: we'll get a full report about charges being filed by 477 00:26:19,640 --> 00:26:23,560 Speaker 1: the against the operators of a West Side healthcare facility, 478 00:26:23,840 --> 00:26:27,359 Speaker 1: particularly for dementia patients, and a number of them died 479 00:26:27,440 --> 00:26:30,399 Speaker 1: in the early stages of the COVID nineteen panic in 480 00:26:30,520 --> 00:26:33,639 Speaker 1: March of twenty twenty because they took in a person 481 00:26:33,720 --> 00:26:37,080 Speaker 1: from New York that had COVID and spread it everywhere 482 00:26:37,480 --> 00:26:40,639 Speaker 1: around the facility. Employees got it, and of course patients 483 00:26:40,680 --> 00:26:43,640 Speaker 1: got it. We'll get the details right after the news 484 00:26:43,680 --> 00:26:48,560 Speaker 1: at two o'clock from reporter Blake Trolley on the John 485 00:26:48,680 --> 00:26:53,040 Speaker 1: and Ken Show. Well, guests who broke their silence? God, 486 00:26:53,080 --> 00:26:56,760 Speaker 1: this is a four year old story now which had 487 00:26:56,840 --> 00:27:03,520 Speaker 1: twists and turns. It involves Jesse Smolette. Jesse Smolette was 488 00:27:03,760 --> 00:27:08,240 Speaker 1: the actor who appeared on the television show Empire, who 489 00:27:08,280 --> 00:27:11,679 Speaker 1: back in twenty nineteen claimed that he was attacked in 490 00:27:11,720 --> 00:27:16,480 Speaker 1: a hate crime by some deranged people. I think he 491 00:27:16,600 --> 00:27:19,919 Speaker 1: was describing them. What is either Trump sympathizers or Nazi 492 00:27:19,920 --> 00:27:23,040 Speaker 1: sympathizers or something like that. Yeah, they said it was 493 00:27:23,080 --> 00:27:26,679 Speaker 1: Trump Trump Country. I think they were in Maga hats. 494 00:27:27,600 --> 00:27:30,320 Speaker 1: Oh that was the claim, was the claim. Yeah, And 495 00:27:30,359 --> 00:27:33,800 Speaker 1: that they put a rope around his neck. Yes, that's right. 496 00:27:33,920 --> 00:27:36,360 Speaker 1: That was part of the other detail there. And sure 497 00:27:36,440 --> 00:27:40,159 Speaker 1: enough he did have injuries, and of course, and by 498 00:27:40,200 --> 00:27:42,439 Speaker 1: the way, he's gay. So all of these things together 499 00:27:42,520 --> 00:27:44,240 Speaker 1: made them believe, I'm he's gay and he's black, or 500 00:27:44,240 --> 00:27:46,120 Speaker 1: of course he's the victim of a hate crime. Right, 501 00:27:46,240 --> 00:27:48,840 Speaker 1: So they went looking for his attackers, and it took 502 00:27:48,840 --> 00:27:51,560 Speaker 1: a while, and we're all looking at surveillance pictures which 503 00:27:51,560 --> 00:27:56,360 Speaker 1: were kind of hard to figure out, but eventually Chicago 504 00:27:56,440 --> 00:27:59,920 Speaker 1: police decided to something's not right here. Well, it was 505 00:28:00,040 --> 00:28:02,960 Speaker 1: in the story. It was twelve degrees I think, or 506 00:28:02,960 --> 00:28:05,520 Speaker 1: twelve below zero I forget which. And it was in 507 00:28:05,640 --> 00:28:08,000 Speaker 1: Chicago at two in the morning. Now, where are you 508 00:28:08,000 --> 00:28:12,840 Speaker 1: gonna find Maga guys when it's twelve degrees at two 509 00:28:12,840 --> 00:28:14,720 Speaker 1: in the morning. Oh, these ideas that they had. They 510 00:28:14,720 --> 00:28:17,240 Speaker 1: had threatened him at work. Remember allegedly he got a 511 00:28:17,280 --> 00:28:20,760 Speaker 1: threatening letter, so they were stalking him. Would have been 512 00:28:20,800 --> 00:28:23,320 Speaker 1: the short and they were looking for the right opportunities 513 00:28:23,320 --> 00:28:25,480 Speaker 1: and you said, that's perfect. No one would be around 514 00:28:25,480 --> 00:28:27,879 Speaker 1: at two am on a dark Chicago street. So they 515 00:28:27,960 --> 00:28:29,639 Speaker 1: tracked his movements and that's when they were going to 516 00:28:29,720 --> 00:28:33,760 Speaker 1: beat him up. So that part looked good until we 517 00:28:33,880 --> 00:28:38,440 Speaker 1: found out that he paid a couple of Nigerian brothers 518 00:28:39,120 --> 00:28:44,440 Speaker 1: to stage the attack to rather built black men, Abbenbola 519 00:28:44,800 --> 00:28:51,560 Speaker 1: and alabinjo Osandero other names, And eventually they were arrested. 520 00:28:52,160 --> 00:28:55,000 Speaker 1: They actually had left the country, but investigators waited for 521 00:28:55,040 --> 00:28:57,800 Speaker 1: them to come back, and when they did, they arrested 522 00:28:57,840 --> 00:28:59,520 Speaker 1: them and they had to spend a few days in jail. 523 00:28:59,560 --> 00:29:04,240 Speaker 1: Before the whole thing, this whole fake thing unfolded. They 524 00:29:04,320 --> 00:29:07,640 Speaker 1: claimed that someone that paid them thirty five hundred dollars 525 00:29:08,200 --> 00:29:12,640 Speaker 1: to stage the attack and the idea. I think he 526 00:29:12,680 --> 00:29:14,840 Speaker 1: wanted to pay raise, am I not mistaken? He wanted 527 00:29:14,880 --> 00:29:17,560 Speaker 1: more mine from Fox for this show and the umpire, 528 00:29:17,680 --> 00:29:21,479 Speaker 1: and he also wanted to be a social justice poster 529 00:29:21,600 --> 00:29:25,920 Speaker 1: boy for the gay movement and for black people exactly, 530 00:29:25,960 --> 00:29:29,520 Speaker 1: so that that was his motivations. So the reason they're 531 00:29:29,560 --> 00:29:32,240 Speaker 1: in the news today is they have done a docuseries. 532 00:29:32,360 --> 00:29:34,320 Speaker 1: I would imagine they would paid for this. It's from 533 00:29:34,360 --> 00:29:37,400 Speaker 1: Fox Nation, which is going to air soon. They're sitting 534 00:29:37,440 --> 00:29:40,680 Speaker 1: down and they're talking. They're telling their story. They call 535 00:29:40,800 --> 00:29:45,320 Speaker 1: Smolette a crazy fraudster who paid them for the ambush 536 00:29:45,360 --> 00:29:49,680 Speaker 1: so he could be herald as a poster boy for activism, 537 00:29:50,280 --> 00:29:53,720 Speaker 1: and they're disappointed today because he's never fast up again. 538 00:29:53,760 --> 00:29:57,920 Speaker 1: He's still fighting this. Oh yeah, he eventually got nailed 539 00:29:58,040 --> 00:30:02,160 Speaker 1: for the fraudulent to fake sport, but he's appealing that 540 00:30:02,280 --> 00:30:04,560 Speaker 1: decision and apparently that's coming back around him the courts 541 00:30:04,640 --> 00:30:07,160 Speaker 1: this month. So that's why they're timing the release of 542 00:30:07,240 --> 00:30:09,920 Speaker 1: this docuse series because they think Jesse Smallett's going to 543 00:30:09,960 --> 00:30:11,800 Speaker 1: be back in the news appealing. I don't know what 544 00:30:11,840 --> 00:30:15,160 Speaker 1: he's appealing. The two guys he hired are telling the story. 545 00:30:15,560 --> 00:30:18,040 Speaker 1: He's got nowhere to go. Oh. He continues to say 546 00:30:18,080 --> 00:30:20,880 Speaker 1: that this was indeed a hate crime attending even though 547 00:30:21,120 --> 00:30:23,640 Speaker 1: he's black and they're black. Could they have beaten him 548 00:30:23,680 --> 00:30:25,600 Speaker 1: up because he's gay and they're not gay? I don't know. 549 00:30:26,280 --> 00:30:29,480 Speaker 1: Is he knows them by the way they know? Yeah? 550 00:30:29,560 --> 00:30:32,440 Speaker 1: I know. So is he admitting that they did the 551 00:30:32,480 --> 00:30:35,720 Speaker 1: attack or is he sticking to the story about its 552 00:30:35,720 --> 00:30:39,080 Speaker 1: two white guys with the mega hats yeah, I have not. 553 00:30:39,200 --> 00:30:41,880 Speaker 1: I don't think he's spoken on that. You know, the 554 00:30:41,960 --> 00:30:49,000 Speaker 1: relationship that that Smolette had with the actors, well, they 555 00:30:49,000 --> 00:30:51,200 Speaker 1: were supposedly his trainer, right to help him get in 556 00:30:51,320 --> 00:30:53,520 Speaker 1: shape for they used to like to go out together 557 00:30:53,640 --> 00:30:56,800 Speaker 1: the clubs and bars on. One of them said that 558 00:30:57,600 --> 00:31:03,040 Speaker 1: they used to pleasure themselves in bath houses. Oh, the 559 00:31:03,120 --> 00:31:06,840 Speaker 1: three of them, well at least one of the brothers, okay, 560 00:31:08,680 --> 00:31:10,960 Speaker 1: because one of the brothers had like some kind of 561 00:31:11,000 --> 00:31:16,640 Speaker 1: sexual relationship. So that's what Smallet's attorney claimed. And he said, well, yeah, 562 00:31:16,720 --> 00:31:20,480 Speaker 1: we we pleasured ourselves in bath houses. We would go 563 00:31:20,520 --> 00:31:23,280 Speaker 1: to nightclubs, the infamous bathhouses, and that was about it. 564 00:31:24,160 --> 00:31:26,280 Speaker 1: But bath houses I think of the seventies when I 565 00:31:26,280 --> 00:31:29,680 Speaker 1: hear are they still around? I didn't know idea, but 566 00:31:30,200 --> 00:31:32,760 Speaker 1: just the sound of that word, it just reminds me 567 00:31:32,840 --> 00:31:35,440 Speaker 1: of Turkey. A Turkish bath. Yeah, it's like a big 568 00:31:35,440 --> 00:31:38,160 Speaker 1: steam room right as we're sitting around and taking their 569 00:31:38,160 --> 00:31:42,920 Speaker 1: towels off. Yeah, and there's fluids and steam. It just 570 00:31:42,960 --> 00:31:47,880 Speaker 1: seems so unhygienic. Hockey do not end up with some 571 00:31:47,920 --> 00:31:51,760 Speaker 1: weird infection. One of the brothers, am Bombola, says he 572 00:31:51,800 --> 00:31:57,400 Speaker 1: feels betrayed because Jesse has not taken responsibility. I don't 573 00:31:57,440 --> 00:31:59,240 Speaker 1: know what to do. I was I was ready to 574 00:31:59,280 --> 00:32:02,080 Speaker 1: say anything, like I was mute, and I didn't want 575 00:32:02,120 --> 00:32:04,320 Speaker 1: to say anything that I felt betrayed by Jose and 576 00:32:04,360 --> 00:32:08,800 Speaker 1: what he had done. By the way, they did do 577 00:32:09,400 --> 00:32:13,400 Speaker 1: in depth testimony, and that led to Smolett's conviction in 578 00:32:13,440 --> 00:32:16,680 Speaker 1: December twenty twenty one from making up this whole crime. 579 00:32:17,600 --> 00:32:19,960 Speaker 1: But you're right, yeah, he did alleges attackers whom a 580 00:32:20,000 --> 00:32:24,840 Speaker 1: pair of Maga hat clad white supremacists, white supremacists. He 581 00:32:25,040 --> 00:32:27,760 Speaker 1: served six days of an agreed upon one hundred and 582 00:32:27,760 --> 00:32:31,200 Speaker 1: fifty days sentence in the Chicago jail, and then the 583 00:32:31,280 --> 00:32:35,320 Speaker 1: Illinois Appellate Court ordered to stay on his sentence because 584 00:32:35,360 --> 00:32:38,520 Speaker 1: he was appealing his convictions. And that's where we are now. 585 00:32:38,720 --> 00:32:42,840 Speaker 1: None of the woke newsheads on all the networks ever 586 00:32:43,040 --> 00:32:47,200 Speaker 1: questioned his story. He snowed them all because they wanted 587 00:32:47,240 --> 00:32:49,600 Speaker 1: it to be true. They wanted the idea that a 588 00:32:49,640 --> 00:32:53,480 Speaker 1: black actor was getting was getting beat up by a 589 00:32:53,520 --> 00:32:56,840 Speaker 1: couple of Trump trumps, right, And it was perfect. Your 590 00:32:56,840 --> 00:32:59,640 Speaker 1: old rule was perfect in this case. We didn't mention 591 00:32:59,760 --> 00:33:02,600 Speaker 1: much about it. And then remember wait three days. Yeah, 592 00:33:02,680 --> 00:33:05,560 Speaker 1: I think after three days things started to not add 593 00:33:05,640 --> 00:33:08,440 Speaker 1: up in what some elect claim to happen. And and 594 00:33:08,440 --> 00:33:10,480 Speaker 1: then and the weeks that followed we found out a 595 00:33:10,480 --> 00:33:13,000 Speaker 1: lot more about how bad the story was. Well, yeah, 596 00:33:13,000 --> 00:33:14,920 Speaker 1: because you can't. You can't trust the media with the 597 00:33:14,960 --> 00:33:17,840 Speaker 1: original reports right now more than ever. I mean, if 598 00:33:17,880 --> 00:33:21,320 Speaker 1: they find something that fits there there woke you know, 599 00:33:21,320 --> 00:33:24,440 Speaker 1: there woke agenda forget about it, and I know why. 600 00:33:24,560 --> 00:33:26,960 Speaker 1: I mean, somebody said it along the way. It's like, well, 601 00:33:27,000 --> 00:33:29,239 Speaker 1: even if the story is not true, even if the 602 00:33:29,320 --> 00:33:33,360 Speaker 1: story is false, it's promoting a larger truth. It's in 603 00:33:33,360 --> 00:33:37,040 Speaker 1: the service of a larger truth, exactly right. That is 604 00:33:37,080 --> 00:33:39,600 Speaker 1: exactly the tack that they would take on this. And 605 00:33:39,640 --> 00:33:41,479 Speaker 1: I when I read it doesn't matter if it's not 606 00:33:41,560 --> 00:33:44,640 Speaker 1: true that this happens, and we need to talk about it. Yeah, 607 00:33:44,840 --> 00:33:47,680 Speaker 1: so I so now it's like, okay, so that's the rules. 608 00:33:48,440 --> 00:33:51,080 Speaker 1: The actual story can be false, but if it points 609 00:33:51,120 --> 00:33:54,360 Speaker 1: to something they believe is more widespread and true, then 610 00:33:54,400 --> 00:33:56,960 Speaker 1: it's going to be true, right, and they're and they're 611 00:33:56,960 --> 00:33:58,760 Speaker 1: going to cover it as such as all right, now 612 00:33:58,800 --> 00:34:02,840 Speaker 1: that I understand the par amateurs here, apparently right, the 613 00:34:02,880 --> 00:34:06,120 Speaker 1: brothers left almost immediately for Nigeria. You know why they 614 00:34:06,200 --> 00:34:08,960 Speaker 1: left for Nigeria. They say they were also aspiring actors 615 00:34:09,000 --> 00:34:10,919 Speaker 1: and they were supposed to be in a Nigerian version 616 00:34:11,000 --> 00:34:14,680 Speaker 1: a Big Brother if you've put of that show. So 617 00:34:14,719 --> 00:34:16,680 Speaker 1: they come back and they're expecting the rest of their 618 00:34:16,719 --> 00:34:19,600 Speaker 1: money and instead they're met at the airport by police investigators. 619 00:34:19,640 --> 00:34:21,279 Speaker 1: And it took a while to get them to fess 620 00:34:21,400 --> 00:34:24,480 Speaker 1: up that Jesse Smollett set them all up for this, 621 00:34:24,960 --> 00:34:27,720 Speaker 1: so well, they didn't They didn't want to get him mad. 622 00:34:27,719 --> 00:34:30,799 Speaker 1: I mean, that's a pretty good Hollywood contact to have, right, Yeah, 623 00:34:30,840 --> 00:34:32,680 Speaker 1: And they probably had no idea the coverage that was 624 00:34:32,719 --> 00:34:35,719 Speaker 1: going on in this country over the alleged attacks. They 625 00:34:35,760 --> 00:34:38,960 Speaker 1: didn't know how nuts America is over sanding like this. 626 00:34:39,239 --> 00:34:41,280 Speaker 1: It said they were held in a cell for forty 627 00:34:41,320 --> 00:34:44,600 Speaker 1: seven hours before they cracked, and then they told the 628 00:34:44,640 --> 00:34:49,440 Speaker 1: truth about the plot, so suddenly it made sense right 629 00:34:49,560 --> 00:34:53,040 Speaker 1: when we return. It's a pretty big story. They are 630 00:34:53,080 --> 00:34:58,279 Speaker 1: finally charging some managers operators of a care facility in 631 00:34:58,360 --> 00:35:03,279 Speaker 1: the Fairfax District with charges concerning the death of a 632 00:35:03,600 --> 00:35:07,560 Speaker 1: number of residents. Thirteen residents and one employee died during 633 00:35:07,600 --> 00:35:11,080 Speaker 1: the COVID nineteen outbreak back in March of twenty twenty 634 00:35:11,120 --> 00:35:14,919 Speaker 1: because this place took in a patient from New York 635 00:35:14,960 --> 00:35:18,520 Speaker 1: City who spread COVID everywhere. Look at the details from 636 00:35:18,520 --> 00:35:21,360 Speaker 1: Blake Trolley, Johnny Ken, kf I AM six forty Live Everywhere, 637 00:35:21,400 --> 00:35:23,640 Speaker 1: the iHeart Radio app, and Mark Gronerd Live the twenty 638 00:35:23,640 --> 00:35:26,120 Speaker 1: four hour Cafight Asram. Hey, you've been listening to the 639 00:35:26,160 --> 00:35:28,200 Speaker 1: John and Ken Show. You can always hear us live 640 00:35:28,360 --> 00:35:31,760 Speaker 1: on kf I AM sixty one pm to four pm 641 00:35:31,840 --> 00:35:35,080 Speaker 1: every Monday through Friday, and of course anytime on demand 642 00:35:35,360 --> 00:35:36,720 Speaker 1: on the iHeart Radio app.