1 00:00:00,040 --> 00:00:01,800 Speaker 1: We got a lot of good audio to play this hour, 2 00:00:01,880 --> 00:00:04,560 Speaker 1: catching up on some stories of the week. We'll go 3 00:00:04,600 --> 00:00:07,480 Speaker 1: into Bidenville for one of them. Will also play the 4 00:00:07,760 --> 00:00:10,800 Speaker 1: FBI director who appeared on Fox News to talk about 5 00:00:10,880 --> 00:00:15,520 Speaker 1: their conclusion that COVID nineteen probably did spring from a laboratory. 6 00:00:15,840 --> 00:00:18,400 Speaker 1: All that's coming up on the show, but we begin 7 00:00:18,480 --> 00:00:21,560 Speaker 1: with a story here locally with the Los Angeles Police 8 00:00:21,600 --> 00:00:23,960 Speaker 1: Department and the Police Protective League, which is the union 9 00:00:24,320 --> 00:00:27,560 Speaker 1: for the LAPD officers. And the union has offered its 10 00:00:27,560 --> 00:00:30,680 Speaker 1: own list of nine one one calls where they think 11 00:00:31,280 --> 00:00:35,480 Speaker 1: maybe an armed police response is not a great idea, 12 00:00:35,560 --> 00:00:38,800 Speaker 1: maybe somebody else can handle these types of calls. You've 13 00:00:38,840 --> 00:00:41,919 Speaker 1: heard the defund the police crowd make these suggestions, and 14 00:00:42,000 --> 00:00:44,960 Speaker 1: I think, well, I was startled that the LA Police 15 00:00:45,040 --> 00:00:48,680 Speaker 1: Union is making similar suggestions on calls they don't want 16 00:00:48,680 --> 00:00:53,200 Speaker 1: to show up for anymore. Now stand what what's going on? Yeah? 17 00:00:53,280 --> 00:00:56,320 Speaker 1: So you know what's interesting about this is these types 18 00:00:56,360 --> 00:01:00,279 Speaker 1: of calls, responses, unarmed response if you will, to these 19 00:01:00,320 --> 00:01:02,280 Speaker 1: types of calls. It's been going on for a long time, 20 00:01:02,600 --> 00:01:06,560 Speaker 1: even before COVID. So what's happening is, if you recall 21 00:01:06,600 --> 00:01:10,160 Speaker 1: a few years ago, a couple of years ago, Eric 22 00:01:10,200 --> 00:01:14,360 Speaker 1: Garcetti's administration, they were creating the unarmed crisis response teams 23 00:01:15,040 --> 00:01:17,200 Speaker 1: and that had come about and then it kind of 24 00:01:17,240 --> 00:01:19,800 Speaker 1: went you never heard anything else about it. And the 25 00:01:19,959 --> 00:01:25,440 Speaker 1: idea is is, aren't officers better suited to go to 26 00:01:25,800 --> 00:01:29,720 Speaker 1: violent calls, emergency calls, life and death calls instead of 27 00:01:29,800 --> 00:01:32,120 Speaker 1: going over and dealing with a homeless man at seven 28 00:01:32,120 --> 00:01:34,480 Speaker 1: to eleven that won't leave the people alone. That's the 29 00:01:34,600 --> 00:01:37,360 Speaker 1: kind of that's the whole idea here is that the 30 00:01:37,440 --> 00:01:41,080 Speaker 1: alternative to defund the police movement was okay, so let's 31 00:01:41,200 --> 00:01:44,479 Speaker 1: do an unarmed crisis response team. That's kind of where 32 00:01:44,520 --> 00:01:46,960 Speaker 1: this all started from, right. So now you've got kind 33 00:01:47,000 --> 00:01:50,280 Speaker 1: of a bigger push on. Now the city wants to 34 00:01:50,360 --> 00:01:53,080 Speaker 1: put a million dollars into the Unarmed Response and Safety 35 00:01:53,160 --> 00:01:56,720 Speaker 1: Program or the Office of Unarmed Response and Safety. So 36 00:01:56,760 --> 00:01:59,600 Speaker 1: they want to make this even more bureaucratic in that 37 00:02:00,160 --> 00:02:03,160 Speaker 1: now there will be accountability on this level. And some 38 00:02:03,280 --> 00:02:05,600 Speaker 1: of the twenty eight types of calls is what they've 39 00:02:05,680 --> 00:02:08,440 Speaker 1: identified are the types of calls that they don't think 40 00:02:08,600 --> 00:02:11,919 Speaker 1: armed officers need to go to. Among those, welfare checks, 41 00:02:12,240 --> 00:02:16,200 Speaker 1: calls to schools unless school administration initiates the Emergency Police 42 00:02:16,240 --> 00:02:21,880 Speaker 1: Response parking violations, homeless encampment cleanups, non fatal vehicle accidents, 43 00:02:21,919 --> 00:02:24,799 Speaker 1: those kinds of calls. They don't think police with guns 44 00:02:24,880 --> 00:02:28,840 Speaker 1: need to be there. Isn't the idea, though, that an 45 00:02:28,919 --> 00:02:32,600 Speaker 1: officer shows up and he is armed as a way 46 00:02:32,639 --> 00:02:37,079 Speaker 1: to respond in case something surprising happened there, because you 47 00:02:37,280 --> 00:02:39,600 Speaker 1: don't know. I mean, the police know this when they 48 00:02:40,080 --> 00:02:43,560 Speaker 1: pull over, not a suspect by maybe somebody who's speeding. 49 00:02:44,000 --> 00:02:47,079 Speaker 1: They walk up and there's a way that you approach 50 00:02:47,160 --> 00:02:49,920 Speaker 1: the car and you have to assess, you know, because 51 00:02:49,960 --> 00:02:51,519 Speaker 1: the guy be armed, because he could he have a 52 00:02:51,560 --> 00:02:55,440 Speaker 1: gun in his glove compartment. They always assume that anybody 53 00:02:55,800 --> 00:02:59,600 Speaker 1: could blow Most don't. But in the one in a 54 00:02:59,680 --> 00:03:02,360 Speaker 1: thousand are one in ten thousand chants that the guy's 55 00:03:02,440 --> 00:03:06,040 Speaker 1: armed and he's gonna do something stupid. That's the purpose 56 00:03:06,120 --> 00:03:09,480 Speaker 1: of it. But every time an officer enters a building, 57 00:03:09,919 --> 00:03:14,240 Speaker 1: a home, a tent, a homeless tent, they face that risk. 58 00:03:14,960 --> 00:03:17,959 Speaker 1: So it's interesting when you think about why, all of 59 00:03:17,960 --> 00:03:20,919 Speaker 1: a sudden is the union supporting all of this. So 60 00:03:21,080 --> 00:03:24,200 Speaker 1: if you really think about it, it makes sense. And 61 00:03:24,280 --> 00:03:26,359 Speaker 1: this is according to people I've talked to boots on 62 00:03:26,400 --> 00:03:29,240 Speaker 1: the ground and command level and in fact just as 63 00:03:29,760 --> 00:03:32,000 Speaker 1: early are just as recent as an hour and a 64 00:03:32,040 --> 00:03:33,840 Speaker 1: half ago. I talked to some command level of folks 65 00:03:33,880 --> 00:03:36,960 Speaker 1: about this too. What they're worried about is a lot 66 00:03:37,040 --> 00:03:42,200 Speaker 1: of times these non violent calls, if you will lead 67 00:03:42,320 --> 00:03:47,600 Speaker 1: to crime. So a welfare check if you've got two 68 00:03:47,680 --> 00:03:51,040 Speaker 1: people in blue vest that show up or you know, 69 00:03:51,840 --> 00:03:54,080 Speaker 1: you know, ask me how I can help vests and 70 00:03:54,200 --> 00:03:56,320 Speaker 1: they show up to the house and you've got a 71 00:03:56,360 --> 00:03:59,760 Speaker 1: dead body inside, and that's the welfare check. But then 72 00:04:00,080 --> 00:04:02,920 Speaker 1: there's struggle, are you know, evidence of a struggle, evidence 73 00:04:02,960 --> 00:04:04,720 Speaker 1: of a break in and stuff, Then you got to 74 00:04:04,720 --> 00:04:07,760 Speaker 1: call armed response. Anyway, You've got that component too, So 75 00:04:07,800 --> 00:04:10,920 Speaker 1: you've got other things. Even in vehicle accidents, if you've 76 00:04:10,960 --> 00:04:13,440 Speaker 1: got a that was non fatal. See are you saying 77 00:04:13,440 --> 00:04:16,520 Speaker 1: the police management is not supporting this idea, I'm just 78 00:04:16,800 --> 00:04:23,000 Speaker 1: a police union. No, this all stems from politicians. This 79 00:04:23,160 --> 00:04:26,480 Speaker 1: all came from politicians. This work came from the union. 80 00:04:26,560 --> 00:04:29,400 Speaker 1: Did not come up with this. The union is saying 81 00:04:29,480 --> 00:04:33,599 Speaker 1: it supports a program that's being considered by the council. 82 00:04:35,320 --> 00:04:40,880 Speaker 1: But the unions support of this. I want to explain 83 00:04:40,960 --> 00:04:42,760 Speaker 1: it to you without coming right out and telling you 84 00:04:42,800 --> 00:04:45,479 Speaker 1: what's going on, because I don't know that I should 85 00:04:45,480 --> 00:04:50,279 Speaker 1: do that right now. Wow, I like that. I thought 86 00:04:50,279 --> 00:04:52,000 Speaker 1: that they were just trying to get out in front 87 00:04:52,040 --> 00:04:55,520 Speaker 1: of this. What am I supposed to do? Now? I know? 88 00:04:55,720 --> 00:05:00,480 Speaker 1: You know, something isn't at break time. I will tell 89 00:05:00,480 --> 00:05:02,640 Speaker 1: you that if you really think about what's going on here, 90 00:05:03,120 --> 00:05:05,120 Speaker 1: based on the many years you've been doing this and 91 00:05:05,240 --> 00:05:08,960 Speaker 1: covering this, you could probably figure this out. So that said, 92 00:05:09,040 --> 00:05:11,000 Speaker 1: and then you know, in the same hand, think about 93 00:05:11,000 --> 00:05:15,120 Speaker 1: for a moment um, how depleted the staff numbers are 94 00:05:15,160 --> 00:05:18,479 Speaker 1: with the LAPD, how few officers there are. So now 95 00:05:18,560 --> 00:05:21,160 Speaker 1: the union's got to face this thing that says, well, listen, 96 00:05:21,200 --> 00:05:23,480 Speaker 1: we've got to do something here. We've got to, you know, 97 00:05:23,520 --> 00:05:25,440 Speaker 1: we've got to kind of play along. We've got to 98 00:05:25,800 --> 00:05:29,760 Speaker 1: you know, help along because our department is not fully staffed. 99 00:05:30,560 --> 00:05:33,720 Speaker 1: It's you know, it's the recruitment is an all time low. 100 00:05:33,760 --> 00:05:38,320 Speaker 1: They're having a tough time getting people to apply. And understandably, yeah, 101 00:05:38,400 --> 00:05:41,360 Speaker 1: so you think about that that gap and that nexus 102 00:05:41,440 --> 00:05:46,160 Speaker 1: between that shortage and people and this unarmed crisis response team. Uh, 103 00:05:46,279 --> 00:05:49,400 Speaker 1: you know, there's there's a reason for this. And so 104 00:05:50,240 --> 00:05:52,680 Speaker 1: when you look at this, these command level folks I 105 00:05:52,800 --> 00:05:54,920 Speaker 1: was talking to a little bit ago, they said, they 106 00:05:55,040 --> 00:05:57,840 Speaker 1: understand the spirit of what's going on here, but they 107 00:05:57,920 --> 00:06:01,120 Speaker 1: don't think it's going to be a practical application. Well, 108 00:06:01,200 --> 00:06:06,720 Speaker 1: because eventually these unarmed ambassadors are going to show up 109 00:06:06,720 --> 00:06:08,680 Speaker 1: and get killed. Well, it's the same thing that was 110 00:06:08,680 --> 00:06:11,520 Speaker 1: going on was Hollywood. Now remember there there was that 111 00:06:11,640 --> 00:06:14,640 Speaker 1: movement to get all the Sheriff's department personnel out of there, right, 112 00:06:14,720 --> 00:06:16,760 Speaker 1: and then have people in the ask how I can 113 00:06:16,839 --> 00:06:20,360 Speaker 1: help vests with a radio, right, And then they walk 114 00:06:20,400 --> 00:06:23,080 Speaker 1: around and see someone being shot or mugged or raised. 115 00:06:23,160 --> 00:06:25,400 Speaker 1: And this is stupid. Yeah. I can't even believe that 116 00:06:25,440 --> 00:06:27,400 Speaker 1: anybody's still debating this has been going on for like 117 00:06:27,480 --> 00:06:29,880 Speaker 1: three years now. This is all stupid. No, you have 118 00:06:30,040 --> 00:06:34,400 Speaker 1: to have armed uniform police officers showing up when there's trouble. Period. However, 119 00:06:34,440 --> 00:06:36,320 Speaker 1: you defind trouble. You just have to. There is no 120 00:06:36,440 --> 00:06:39,120 Speaker 1: alternative to this. Well, they you know they list parking 121 00:06:39,200 --> 00:06:42,040 Speaker 1: violations in here. Well you have already got ledt they 122 00:06:42,120 --> 00:06:44,920 Speaker 1: handle parking violations. Yeah. So for instance, so I mean 123 00:06:45,080 --> 00:06:49,080 Speaker 1: there's some stuffing here, like homeless incament cleanups? Yeah, again, 124 00:06:49,440 --> 00:06:51,120 Speaker 1: I've been to how many of these have I've been 125 00:06:51,160 --> 00:06:53,960 Speaker 1: to how many of these guys were in prison and 126 00:06:54,080 --> 00:06:56,360 Speaker 1: now they're living in those tents? Well, and a lot 127 00:06:56,400 --> 00:06:58,840 Speaker 1: of those guys have weapons in there. What are the 128 00:06:58,960 --> 00:07:01,480 Speaker 1: last three high pro file murders we've had? Have been homeless? 129 00:07:01,520 --> 00:07:05,840 Speaker 1: People have committed them? Yeah? I know I And what 130 00:07:06,000 --> 00:07:08,400 Speaker 1: happened Steve? When the alternative shows up, I don't know, 131 00:07:08,560 --> 00:07:11,160 Speaker 1: somebody from mental health or Department of Transportation and they 132 00:07:11,240 --> 00:07:14,280 Speaker 1: get hurt. What's going to be a response then? Right? 133 00:07:14,400 --> 00:07:17,680 Speaker 1: Considering that that hasn't happened yet because this is not 134 00:07:17,800 --> 00:07:21,160 Speaker 1: a fully implemented project or program. But it's interesting because 135 00:07:21,200 --> 00:07:24,040 Speaker 1: when the council was set to vote today on this, 136 00:07:24,560 --> 00:07:29,080 Speaker 1: they've delated by two weeks. I just think, if you 137 00:07:29,200 --> 00:07:32,880 Speaker 1: show up and you don't have a gun, then what's 138 00:07:32,880 --> 00:07:38,160 Speaker 1: your leverage? What's your ability to persuade? Because people tend 139 00:07:38,240 --> 00:07:40,360 Speaker 1: to go along with police officers. I know I do, 140 00:07:40,840 --> 00:07:47,160 Speaker 1: because they're armed. I'm not. They'll always win. So I say, yes, sir, sorry, sir, Well, 141 00:07:47,160 --> 00:07:49,080 Speaker 1: what's gonna do, sir? It's gonna be a combination of 142 00:07:49,120 --> 00:07:53,960 Speaker 1: de escalation training and mental health training. The escalation, John, 143 00:07:54,040 --> 00:07:57,559 Speaker 1: calmed down. Calm down, John, he's working on it works 144 00:07:58,000 --> 00:08:01,080 Speaker 1: and you now you just learned laughing that triggers me 145 00:08:02,760 --> 00:08:05,040 Speaker 1: to calm down. It's gonna tase you. So anyway, I 146 00:08:05,080 --> 00:08:06,560 Speaker 1: don't know how this is going to shake out. I 147 00:08:06,720 --> 00:08:10,400 Speaker 1: just know that a lot of people, Um, there are 148 00:08:10,440 --> 00:08:12,440 Speaker 1: two sides to this. There are some that support it 149 00:08:12,560 --> 00:08:15,600 Speaker 1: for some interesting reasons and others who say this and 150 00:08:15,760 --> 00:08:17,920 Speaker 1: this is necking to work. All right, Well, when you're 151 00:08:17,920 --> 00:08:20,640 Speaker 1: able to explain the interesting reasons, yeah, let's come back 152 00:08:20,840 --> 00:08:23,120 Speaker 1: that cryptic reference as we want that you got it 153 00:08:23,440 --> 00:08:26,440 Speaker 1: all right, all right? That's Steve Craigery. Cafide is covering 154 00:08:26,480 --> 00:08:29,440 Speaker 1: the announcement by the Los Angeles Police protectively the LAPD 155 00:08:29,720 --> 00:08:32,640 Speaker 1: Union that they think there's about a list of twenty 156 00:08:32,679 --> 00:08:35,600 Speaker 1: eight calls that officers, through armed officers would not need 157 00:08:35,640 --> 00:08:37,880 Speaker 1: to respond to anymore. John and Ken Cafe. I am 158 00:08:37,920 --> 00:08:41,920 Speaker 1: six forty Live Everywhere, a the iHeart Radio app. We'd 159 00:08:41,960 --> 00:08:44,559 Speaker 1: like to formally welcome you to the rest Home of 160 00:08:44,720 --> 00:08:49,920 Speaker 1: Old Joe. Welcome to Bidenville everyone, Oh mate, were created 161 00:08:50,760 --> 00:08:53,040 Speaker 1: go you know that you know the thing. There's a 162 00:08:53,120 --> 00:08:56,160 Speaker 1: man on the moon or wherever you know something or 163 00:08:56,360 --> 00:08:59,079 Speaker 1: you know whether those aliens are here or not. I 164 00:08:59,520 --> 00:09:04,280 Speaker 1: commute for thirty six years as President Vice President United States. 165 00:09:04,440 --> 00:09:11,719 Speaker 1: Happy birthday, dear, Happy birthday to you. That was the 166 00:09:11,840 --> 00:09:16,360 Speaker 1: television on television. I was on the telephone, and every 167 00:09:16,400 --> 00:09:18,120 Speaker 1: time I hear hal of the chief under where the 168 00:09:18,160 --> 00:09:20,120 Speaker 1: hell is he turned around? And where where's the where's 169 00:09:20,160 --> 00:09:22,079 Speaker 1: the president? What? I can't remember it. I was in 170 00:09:22,120 --> 00:09:26,880 Speaker 1: the foot excreming the foothills of the Himlas with Shijing 171 00:09:27,000 --> 00:09:30,079 Speaker 1: Pain for Secretary of Health and Educations. Ever I nominated 172 00:09:30,360 --> 00:09:35,160 Speaker 1: Jabier Bakaria. President Harris is a proud Howard alone. That's 173 00:09:35,240 --> 00:09:38,760 Speaker 1: Joel Brandon. I agree, I got them one point nine 174 00:09:38,960 --> 00:09:46,839 Speaker 1: tillion dollars relief so far. Cliptocracy, Yeah, cyptocracy and CLI 175 00:09:47,360 --> 00:09:51,480 Speaker 1: the guys who are the cliptocracy representative? Jackie? You here? 176 00:09:51,720 --> 00:09:55,040 Speaker 1: Where's Jackie? I don't think? Show us mull be here? 177 00:09:55,160 --> 00:09:58,360 Speaker 1: And now to give you a tour of Bidenville before 178 00:09:58,440 --> 00:10:03,560 Speaker 1: your extended stay, ears John and Ken, John Cope, Melton, 179 00:10:03,640 --> 00:10:08,800 Speaker 1: Kent and Shampoo Swinging on the swing, Aaron Bidenville. When 180 00:10:08,840 --> 00:10:10,800 Speaker 1: the sun came up, it was raining pretty hard just 181 00:10:10,800 --> 00:10:14,160 Speaker 1: about ten minutes ago. Here one listener says there was 182 00:10:14,240 --> 00:10:17,360 Speaker 1: some snow coming down in their neighborhood. I thought, this 183 00:10:17,480 --> 00:10:19,120 Speaker 1: is pretty much cleared out, but I guess these storms 184 00:10:19,160 --> 00:10:21,920 Speaker 1: are still so straggling through. When I was walking in, 185 00:10:22,840 --> 00:10:25,719 Speaker 1: something was falling from the sky. That wasn't rain here. 186 00:10:26,200 --> 00:10:29,960 Speaker 1: Oh yeah, that's what it was. It was really cool. Yeah, 187 00:10:30,080 --> 00:10:32,280 Speaker 1: that's what Gary told me. When I was I saw 188 00:10:32,360 --> 00:10:35,439 Speaker 1: hail last weekend and torrance on people's windshields. It was 189 00:10:35,520 --> 00:10:38,079 Speaker 1: kind of cool because it was coming down and it 190 00:10:38,200 --> 00:10:40,040 Speaker 1: looked like it didn't look like a drop. It looked 191 00:10:40,080 --> 00:10:42,719 Speaker 1: like a long street streak rather, and it was it 192 00:10:42,840 --> 00:10:45,280 Speaker 1: was glistening. It was like twinkling a little bit, and 193 00:10:45,360 --> 00:10:49,800 Speaker 1: it wasn't a snowflake, and it wasn't sleep pellets and 194 00:10:50,160 --> 00:10:53,120 Speaker 1: grappol I think is is a rain drop that gets 195 00:10:53,360 --> 00:10:56,520 Speaker 1: covered in a coating of ice, but it's bushy, yeah, 196 00:10:57,200 --> 00:10:59,520 Speaker 1: or it's it's it's not like hail, which is more solid. 197 00:10:59,760 --> 00:11:02,120 Speaker 1: It's a combination, or it's a snowflake that gets a 198 00:11:02,240 --> 00:11:03,880 Speaker 1: lot of water in it out of something like that. 199 00:11:04,000 --> 00:11:06,440 Speaker 1: So it cos it was coming down and I got, well, 200 00:11:06,480 --> 00:11:10,120 Speaker 1: this isn't rain. What is this. Here's a quick update 201 00:11:10,320 --> 00:11:14,560 Speaker 1: on the storms Yosemite has closed. Yosemite apparently has snow 202 00:11:14,600 --> 00:11:19,400 Speaker 1: accumulation that has broken a fifty four year record at 203 00:11:19,400 --> 00:11:23,560 Speaker 1: the park. As of late yesterday, forty inches of snow 204 00:11:23,600 --> 00:11:27,600 Speaker 1: in the Yosemite Valley and that's among the park's lowest elevations. 205 00:11:27,960 --> 00:11:31,600 Speaker 1: The previous record was thirty six inches from nineteen sixty nine. 206 00:11:32,679 --> 00:11:37,440 Speaker 1: And as you mentioned before, John, Tahoe is just massive 207 00:11:37,440 --> 00:11:40,480 Speaker 1: amounts of snow fell up in that area too, closing roads. 208 00:11:40,520 --> 00:11:43,079 Speaker 1: Although I did read they're getting the ski resorts open 209 00:11:43,200 --> 00:11:46,680 Speaker 1: quickly because you know, that's a business unlike the people 210 00:11:46,760 --> 00:11:49,120 Speaker 1: that live up in the San Bernardino Mountains is not. 211 00:11:49,360 --> 00:11:52,040 Speaker 1: There's big bear up there, but doesn't compare to the 212 00:11:52,160 --> 00:11:55,679 Speaker 1: ski resorts of the Tahoe area, where it's important that 213 00:11:55,840 --> 00:11:58,040 Speaker 1: they get those roads open for people to come with 214 00:11:58,160 --> 00:12:01,120 Speaker 1: their money and spend. All. Right, we're in. We'll be 215 00:12:01,200 --> 00:12:05,120 Speaker 1: talking to Tim Donnallee, the former assemblyman and coundidate for governor. 216 00:12:05,559 --> 00:12:07,720 Speaker 1: He lives up in Lake Arrowhead. He'll be joining us 217 00:12:07,720 --> 00:12:11,320 Speaker 1: after three. I found the definition of groppel. It starts 218 00:12:11,360 --> 00:12:15,240 Speaker 1: as snow falling through a cloud, and the cloud is 219 00:12:15,280 --> 00:12:20,000 Speaker 1: made up of super cooled water droplets, droplets of water 220 00:12:20,160 --> 00:12:23,120 Speaker 1: that are below freezing but still liquid new and so 221 00:12:23,360 --> 00:12:27,319 Speaker 1: the snowflake travels through the cloud. The droplets attached and 222 00:12:27,480 --> 00:12:30,640 Speaker 1: freeze around the snowflake, and it grows into a tiny 223 00:12:30,760 --> 00:12:35,040 Speaker 1: snowball and it gets like mushy. It's it's very wet, 224 00:12:35,120 --> 00:12:39,440 Speaker 1: and I guess as it falls it starts to I guess, 225 00:12:39,480 --> 00:12:46,840 Speaker 1: separate degrade. Yeah, this is old Joe speaking in Virginia 226 00:12:46,920 --> 00:12:50,559 Speaker 1: Beach yesterday. I guess he wanted to talk about well 227 00:12:50,640 --> 00:12:54,840 Speaker 1: he was, Yeah, he was talking about healthcare, healthcare policy 228 00:12:55,240 --> 00:12:57,360 Speaker 1: one of these beaches. So he went off on a 229 00:12:57,400 --> 00:13:00,640 Speaker 1: weird tangent with we now understand he's done before this 230 00:13:01,000 --> 00:13:05,320 Speaker 1: particular story, but it's got some people saying weird. Let's 231 00:13:05,440 --> 00:13:07,360 Speaker 1: hear this. When I was at Well to read all 232 00:13:07,400 --> 00:13:09,720 Speaker 1: that time, after a couple of craniogotes, I was lying 233 00:13:09,800 --> 00:13:13,040 Speaker 1: there and I had a nurse named Pearl Nelson Military. 234 00:13:13,760 --> 00:13:15,640 Speaker 1: She'd come in and do things that I don't think 235 00:13:15,640 --> 00:13:19,400 Speaker 1: you can learn the medical school, nursery school. She'd whisper 236 00:13:19,440 --> 00:13:21,880 Speaker 1: in my ear. I didn't couldn't understand him. She whisper, 237 00:13:21,920 --> 00:13:24,880 Speaker 1: and she'd leaned down. He'd actually breathed on me to 238 00:13:24,960 --> 00:13:27,760 Speaker 1: make sure that there was a connection to the human connection. 239 00:13:28,440 --> 00:13:31,240 Speaker 1: She home, went home and brought back her pillow from 240 00:13:31,280 --> 00:13:33,439 Speaker 1: her own bed because he didn't do the one. I 241 00:13:33,520 --> 00:13:38,400 Speaker 1: had to won comfortable. But I'm not joking again. It's 242 00:13:39,200 --> 00:13:42,560 Speaker 1: sounds salacious. Not at the beginning of that, right, things 243 00:13:42,640 --> 00:13:44,559 Speaker 1: that you don't learn in nursing school. I thought it 244 00:13:44,640 --> 00:13:48,000 Speaker 1: was going to get dirty. She molested him or something. 245 00:13:49,320 --> 00:13:51,400 Speaker 1: But he's much older here. This isn't the school nurse 246 00:13:51,480 --> 00:13:53,960 Speaker 1: he's talking about this. No, No, this is at Walter 247 00:13:54,360 --> 00:13:58,280 Speaker 1: Arteries or something. Yeah. Um, well he told this. That 248 00:13:58,600 --> 00:14:01,240 Speaker 1: was yesterday, yesterday. Yeah, it was all right, it was 249 00:14:01,320 --> 00:14:05,199 Speaker 1: Virginia Beach yesterday. Okay, here's July twenty twenty Biden telling 250 00:14:05,280 --> 00:14:07,760 Speaker 1: the same story. And I had a nurse at at 251 00:14:08,679 --> 00:14:13,040 Speaker 1: nurses at Walter Reed Hospital who would bend down and 252 00:14:13,360 --> 00:14:16,720 Speaker 1: whisper in my year and go home and get me pillows. 253 00:14:16,800 --> 00:14:20,200 Speaker 1: They would make sure they'd actually probably nothing ever taught 254 00:14:20,360 --> 00:14:22,440 Speaker 1: in you can't do it in the COVID time, but 255 00:14:23,040 --> 00:14:26,440 Speaker 1: they'd actually breathing my nostrils to make me move, to 256 00:14:26,600 --> 00:14:31,360 Speaker 1: get me moving. Hmm, what is he talking to breathe 257 00:14:31,360 --> 00:14:39,440 Speaker 1: into his nostrils? What that's uh talk about? Kinky. Yeah, 258 00:14:41,480 --> 00:14:44,960 Speaker 1: I guess. Yeah. Me last week, when I was going 259 00:14:45,000 --> 00:14:47,120 Speaker 1: through my ordeal with my cold and my running nose, 260 00:14:47,200 --> 00:14:51,280 Speaker 1: I was thinking about John's Uh uh, what was she 261 00:14:51,480 --> 00:14:55,040 Speaker 1: your child's care taking? Ada? Yes, we sucked a snot 262 00:14:55,080 --> 00:14:56,920 Speaker 1: out of the nose for your kids. Jam. Yeah, that's right. 263 00:14:57,040 --> 00:15:00,520 Speaker 1: If one of my kids was congested, he was just 264 00:15:00,680 --> 00:15:03,440 Speaker 1: a you're too old, And she walked up to him 265 00:15:03,640 --> 00:15:06,040 Speaker 1: right at the dinner table and put his mouth, put 266 00:15:06,080 --> 00:15:08,880 Speaker 1: her mouth over his nose and sucked out all his snot. 267 00:15:09,400 --> 00:15:13,880 Speaker 1: Is disgusting. Yeah, isn't it better? I never even did 268 00:15:13,960 --> 00:15:18,320 Speaker 1: that to my own kids. Oh God, his sinuses. He 269 00:15:18,400 --> 00:15:20,560 Speaker 1: didn't ask the obvious question, Deborah Mark, What did she 270 00:15:20,680 --> 00:15:25,440 Speaker 1: do with it? Oh, don't tell me. She swallowed he seems. 271 00:15:25,480 --> 00:15:29,280 Speaker 1: I don't know. I don't remember. She's clouded out that part. 272 00:15:30,280 --> 00:15:34,600 Speaker 1: She's just sat there his yaw. She's now covering your head. 273 00:15:42,120 --> 00:15:45,800 Speaker 1: You know you should be near a microphone anymore. I 274 00:15:45,960 --> 00:15:50,240 Speaker 1: have diarrham mouth. Well, no, I don't know what she did. 275 00:15:57,000 --> 00:16:00,920 Speaker 1: All right. From the category of there might be hope 276 00:16:00,960 --> 00:16:04,440 Speaker 1: out there somewhere, at least, I'm grasping the story that way. 277 00:16:05,280 --> 00:16:07,840 Speaker 1: The Mayor of Chicago has been ousted from her job. 278 00:16:08,800 --> 00:16:11,960 Speaker 1: Lori Lightfoot is the Democratic mayor of Chicago the past 279 00:16:12,040 --> 00:16:15,520 Speaker 1: four years. The progressive side loved it once she won 280 00:16:15,720 --> 00:16:19,600 Speaker 1: because A she's African American. B she's a woman, and 281 00:16:19,840 --> 00:16:23,480 Speaker 1: see she's a lesbians. I thought her last name, I 282 00:16:23,520 --> 00:16:26,000 Speaker 1: thought she might be Native American. No, I looked. I 283 00:16:26,160 --> 00:16:28,560 Speaker 1: looked that up because that's what I thought. It just 284 00:16:28,720 --> 00:16:32,560 Speaker 1: sounds like that's it's a British name. Ah okay, So 285 00:16:32,680 --> 00:16:34,560 Speaker 1: it could have been a slow she didn't check the 286 00:16:34,640 --> 00:16:36,680 Speaker 1: fourth box. No, it could have been a slave owner's 287 00:16:36,760 --> 00:16:40,520 Speaker 1: name from her somewhere in her ancestry. The city has 288 00:16:40,640 --> 00:16:44,760 Speaker 1: been a mess with crime the past four years. And 289 00:16:44,840 --> 00:16:47,880 Speaker 1: I say this because I'm looking to California and the 290 00:16:47,960 --> 00:16:50,440 Speaker 1: problems we have and the politicians we have, and I'm thinking, well, 291 00:16:50,840 --> 00:16:53,840 Speaker 1: if Chicago can oust this woman, because they finally looked 292 00:16:53,840 --> 00:16:57,600 Speaker 1: around and realized we've hit bottom here, she's got to go. 293 00:16:57,720 --> 00:16:59,960 Speaker 1: Because the one of the two people had finished the 294 00:17:00,160 --> 00:17:02,400 Speaker 1: runoff is a tough on crime guy. He may not win, 295 00:17:02,640 --> 00:17:06,000 Speaker 1: but that's what he was campaigning. He was in first place. 296 00:17:06,800 --> 00:17:09,040 Speaker 1: I got about thirty four percent of the vote, and 297 00:17:09,560 --> 00:17:12,600 Speaker 1: the second place person is a to fund the police character. 298 00:17:12,840 --> 00:17:15,639 Speaker 1: That's right, Brandon Johnson, I think his name is. It's 299 00:17:15,680 --> 00:17:18,000 Speaker 1: going to be an ugly campaign. He's at twenty, and 300 00:17:18,119 --> 00:17:22,120 Speaker 1: then Laurie Lightfoot was at seventeen. She had eighty three 301 00:17:22,280 --> 00:17:26,360 Speaker 1: percent of the city vote against her eighty three percent. 302 00:17:26,880 --> 00:17:30,640 Speaker 1: I've never seen that before happened to an incumbent. Oh, 303 00:17:31,720 --> 00:17:34,159 Speaker 1: that's just shocking. But you know how many murders they 304 00:17:34,200 --> 00:17:37,840 Speaker 1: had last year, eight hundred. Oh, it was a headline 305 00:17:37,880 --> 00:17:40,959 Speaker 1: every weekend. They it's always like weekends, a lot of bodies. 306 00:17:41,160 --> 00:17:44,119 Speaker 1: And they have some of the toughest gun control laws 307 00:17:44,520 --> 00:17:49,000 Speaker 1: of any city in the country. Eight hundred murders. And 308 00:17:49,160 --> 00:17:52,480 Speaker 1: I saw a list of statistics just yesterday. Car theft 309 00:17:52,840 --> 00:17:54,600 Speaker 1: just in the first two months of the year is 310 00:17:54,680 --> 00:17:58,159 Speaker 1: up one hundred and forty three percent, and it is 311 00:17:58,240 --> 00:18:04,040 Speaker 1: spilled into the nice neighborhood. And so everybody's angry, everybody's scared. 312 00:18:04,440 --> 00:18:08,719 Speaker 1: And so this guy, um, god, what's his name, Vallis? 313 00:18:08,760 --> 00:18:12,719 Speaker 1: I think, yeah, his name is Vallis. Paula. He won, 314 00:18:13,600 --> 00:18:16,040 Speaker 1: he's been He was kind of a nobody. He was 315 00:18:16,119 --> 00:18:19,879 Speaker 1: a public school executive. He's big on charter schools, and 316 00:18:20,000 --> 00:18:23,880 Speaker 1: he was an executive for various public school districts, including 317 00:18:23,880 --> 00:18:26,720 Speaker 1: I think Chicago, and he's run for office three other 318 00:18:26,800 --> 00:18:29,119 Speaker 1: times and got nowhere. He'd hardly get any votes, but 319 00:18:29,240 --> 00:18:35,560 Speaker 1: he ran as this tough on crime, no nonsense. He's 320 00:18:35,840 --> 00:18:38,800 Speaker 1: a Democrat, although in one interview he said, I think 321 00:18:38,840 --> 00:18:43,359 Speaker 1: a more Republican than Democrat. And of course Chicago ultra liberal. 322 00:18:43,920 --> 00:18:47,560 Speaker 1: And but they've had enough. That's what I'm saying. You 323 00:18:47,680 --> 00:18:49,320 Speaker 1: got to look for a victory wherever you can get it, 324 00:18:49,359 --> 00:18:52,200 Speaker 1: and hope that people are turning around, maybe city by city, 325 00:18:52,240 --> 00:18:54,520 Speaker 1: one by one. More coming up, John and Ken KF. 326 00:18:54,600 --> 00:18:57,160 Speaker 1: I am six forty. We're live everywhere in the iHeartRadio app. 327 00:18:57,200 --> 00:19:03,160 Speaker 1: I have diarrheam out. Oh yeah, that was, Oh boy. 328 00:19:03,560 --> 00:19:06,520 Speaker 1: You have a clip where she No, we'll play that again. 329 00:19:06,680 --> 00:19:11,480 Speaker 1: Don't tell me she's swallowed. I am so embarrassed. I 330 00:19:11,960 --> 00:19:14,960 Speaker 1: am so embarrassed. But you have to have that in 331 00:19:15,040 --> 00:19:20,800 Speaker 1: the correct context. Guys, Okay, no, Yeah. These will drop 332 00:19:20,920 --> 00:19:24,200 Speaker 1: randomly whenever, whenever necessary. The moist Line is coming back 333 00:19:24,280 --> 00:19:26,800 Speaker 1: day after tomorrow. A reminder that you can still leave 334 00:19:26,880 --> 00:19:28,960 Speaker 1: messages and they'll be listened to and they might be 335 00:19:29,000 --> 00:19:31,200 Speaker 1: included in the moist Line play at three twenty and 336 00:19:31,240 --> 00:19:35,040 Speaker 1: three fifty on Friday, you go to the iHeartRadio app 337 00:19:35,160 --> 00:19:37,200 Speaker 1: use a microphone icon or called the tell Free number 338 00:19:37,240 --> 00:19:39,719 Speaker 1: one eighty seven to seven moist eighty six one eight 339 00:19:39,840 --> 00:19:44,760 Speaker 1: seven seven six six four seven eight eight six. We'll 340 00:19:44,760 --> 00:19:47,399 Speaker 1: be talking about those stranded mountain communities up in the 341 00:19:47,440 --> 00:19:50,320 Speaker 1: San Bernardino Mountains after three o'clock. Our guests will be 342 00:19:50,440 --> 00:19:53,600 Speaker 1: a resident, Tim Donnelly, who used to be a guest 343 00:19:53,640 --> 00:19:55,480 Speaker 1: on the show many times when he's in the Assembly, 344 00:19:55,600 --> 00:19:57,760 Speaker 1: ran for governor anyway, still lives up there and he 345 00:19:57,840 --> 00:20:00,199 Speaker 1: give us a firsthand account. I see that roofs are 346 00:20:00,400 --> 00:20:03,280 Speaker 1: starting to crash in on some homes because of the 347 00:20:03,359 --> 00:20:06,440 Speaker 1: heavy snow. Another round of snow, of course, came through 348 00:20:06,960 --> 00:20:09,320 Speaker 1: last night and they were already trying to dig out 349 00:20:09,600 --> 00:20:12,720 Speaker 1: from last week's storm. So we'll bring you all that 350 00:20:13,720 --> 00:20:17,800 Speaker 1: in the three o'clock hour. Well, a lot of audio 351 00:20:17,920 --> 00:20:22,920 Speaker 1: this hour. This is from the FBI director and he 352 00:20:23,200 --> 00:20:26,280 Speaker 1: was on Fox News talking to Brett bare His name 353 00:20:26,359 --> 00:20:31,320 Speaker 1: is Christopher Ray because the Energy Department joined the FBI 354 00:20:31,600 --> 00:20:35,480 Speaker 1: in concluding, it's probably the result of a laboratory league 355 00:20:35,520 --> 00:20:39,040 Speaker 1: in China that we got COVID nineteen. That's not been 356 00:20:39,080 --> 00:20:41,480 Speaker 1: the conclusion of other agencies. But you know what, some 357 00:20:41,640 --> 00:20:45,880 Speaker 1: of the left wing comics were on TV making fun 358 00:20:45,920 --> 00:20:48,320 Speaker 1: of the idea that the Department of Energy was weighing 359 00:20:48,359 --> 00:20:52,760 Speaker 1: in about COVID. For some reason, left wing people can't 360 00:20:52,800 --> 00:20:55,440 Speaker 1: accept that this might have been a lab league and 361 00:20:56,040 --> 00:20:58,440 Speaker 1: I'll never understand why, especially at this lad. And again, 362 00:20:58,480 --> 00:21:01,280 Speaker 1: the Department of Energy is responsi what, overseeing the laboratories. 363 00:21:02,200 --> 00:21:04,439 Speaker 1: That's why they have a part in this. Yeah, they 364 00:21:04,760 --> 00:21:11,160 Speaker 1: actually have oversight over biological weapons laboratories. So this does 365 00:21:11,320 --> 00:21:15,760 Speaker 1: fall exactly in line with some of their responsibilities. But 366 00:21:16,000 --> 00:21:21,000 Speaker 1: it's amazing how many people are ignorant or so stubbornly partisan. 367 00:21:21,480 --> 00:21:26,400 Speaker 1: Just accept it. That's one of the Department of Energies responsibilities. 368 00:21:26,760 --> 00:21:29,920 Speaker 1: Yes they do investigations like this, and yes they came 369 00:21:30,000 --> 00:21:32,200 Speaker 1: up with an answer that you don't like for whatever 370 00:21:32,320 --> 00:21:35,640 Speaker 1: bizarre reason. But two of the late night comedians we're 371 00:21:35,680 --> 00:21:41,600 Speaker 1: doing we're doing jokes comedians, I know, except you know 372 00:21:41,680 --> 00:21:44,720 Speaker 1: how many people look to late night comedy shows for 373 00:21:44,800 --> 00:21:48,199 Speaker 1: their news. Now, and really, Jimmy Kimmel's going to give 374 00:21:48,280 --> 00:21:50,840 Speaker 1: you the real world news they do, and what to 375 00:21:50,920 --> 00:21:54,720 Speaker 1: even dope Colbert and what the proper opinion is supposed 376 00:21:54,760 --> 00:21:58,440 Speaker 1: to be. No, they expose themselves after Trump became president 377 00:21:58,520 --> 00:22:01,440 Speaker 1: by going far out there. Yeah, Brett, but listen to 378 00:22:01,520 --> 00:22:03,159 Speaker 1: the same reason you don't want to watch some of 379 00:22:03,240 --> 00:22:05,959 Speaker 1: the Fox hosts because they're too much in the other direction. Yes, 380 00:22:06,040 --> 00:22:07,760 Speaker 1: I mean, you've got to get perspective here. And but 381 00:22:07,840 --> 00:22:10,800 Speaker 1: the audience laughs and the plauds all this stuff, it's fascinating. 382 00:22:11,880 --> 00:22:14,399 Speaker 1: Well right, well, here is Rayon with Brett Bear and 383 00:22:14,600 --> 00:22:17,000 Speaker 1: let's see what's in this clip. What is the determination 384 00:22:17,080 --> 00:22:21,520 Speaker 1: by the FBI. So, as you note, Bret, the FBI 385 00:22:21,800 --> 00:22:26,440 Speaker 1: has for quite some time now assessed that the origins 386 00:22:26,440 --> 00:22:30,080 Speaker 1: of the pandemic are most likely a potential lab incident 387 00:22:30,280 --> 00:22:33,159 Speaker 1: in Wuhan. We step back for a second. You know, 388 00:22:33,240 --> 00:22:40,720 Speaker 1: the FBI has folks, agents, professionals, analysts, virologists, microbiologists, etc. 389 00:22:41,119 --> 00:22:46,040 Speaker 1: Who focus specifically on the dangers of biological threats, which 390 00:22:46,080 --> 00:22:51,040 Speaker 1: include things like novel viruses like COVID and the concerns 391 00:22:51,119 --> 00:22:54,640 Speaker 1: that they're in the wrong hands some bad guys, hostile nation, 392 00:22:54,760 --> 00:22:58,680 Speaker 1: state of terrorist, a criminal, the threats that those could pose. 393 00:22:58,760 --> 00:23:02,480 Speaker 1: So here you're talking about out a potential leak from 394 00:23:02,640 --> 00:23:07,280 Speaker 1: a Chinese government controlled lab that killed millions of Americans, 395 00:23:07,320 --> 00:23:12,080 Speaker 1: and that's precisely what that capability was designed for. I 396 00:23:12,200 --> 00:23:17,119 Speaker 1: should add that our work related to this continues, and 397 00:23:17,440 --> 00:23:19,239 Speaker 1: they are not a whole lot of details I can 398 00:23:19,320 --> 00:23:22,680 Speaker 1: share that aren't aren't classified. I will just make the 399 00:23:22,800 --> 00:23:25,679 Speaker 1: observation that the Chinese government seems to me, has been 400 00:23:25,720 --> 00:23:30,920 Speaker 1: doing its best to try to thwart an obje skate 401 00:23:32,359 --> 00:23:34,360 Speaker 1: the work here, the work that we're doing, the work 402 00:23:34,400 --> 00:23:37,440 Speaker 1: that are a US government and closed foreign partners are doing, 403 00:23:38,880 --> 00:23:42,840 Speaker 1: and that's unfortunate for everybody. Yeah, that's important that last part. 404 00:23:43,480 --> 00:23:45,840 Speaker 1: China is giving everybody the finger. We're not going to 405 00:23:45,920 --> 00:23:48,520 Speaker 1: give you anything you need to do the research on this. 406 00:23:49,040 --> 00:23:53,040 Speaker 1: So that makes it difficult to ever get the exact answer. 407 00:23:53,720 --> 00:23:56,720 Speaker 1: But it says here no animal host has ever been found, 408 00:23:57,440 --> 00:23:59,879 Speaker 1: so this theory that it started with some kind of 409 00:24:00,119 --> 00:24:03,600 Speaker 1: animal and mutated to humans also has no definitive proof. 410 00:24:03,880 --> 00:24:07,320 Speaker 1: And the other side always forgets that. They act like, well, 411 00:24:07,359 --> 00:24:09,000 Speaker 1: you're just racist if you think it came from a 412 00:24:09,119 --> 00:24:12,000 Speaker 1: Chi lab, And I'm going to end the discussion there, Well, 413 00:24:12,080 --> 00:24:15,840 Speaker 1: why is there another side? This is what confounds me. 414 00:24:16,520 --> 00:24:19,879 Speaker 1: The issue is is how did this virus mutate to 415 00:24:20,080 --> 00:24:23,880 Speaker 1: infect humans and be transmitted human to humans so easily. 416 00:24:24,240 --> 00:24:29,360 Speaker 1: This was unlike the other coronaviruses which caused other illnesses 417 00:24:29,640 --> 00:24:33,720 Speaker 1: years ago. But we're very limited in spread because it's 418 00:24:33,840 --> 00:24:36,560 Speaker 1: difficult to go from human. They're saying, but that's normally 419 00:24:36,640 --> 00:24:40,040 Speaker 1: the path, even though this one obviously had to it. Okay, 420 00:24:40,119 --> 00:24:42,399 Speaker 1: but normally it does go from animal to human like 421 00:24:42,640 --> 00:24:44,920 Speaker 1: big viruses and stuff like that. But yeah, but the 422 00:24:45,000 --> 00:24:50,080 Speaker 1: coronavirus is specifically in the past did not transmit to 423 00:24:50,359 --> 00:24:53,320 Speaker 1: humans easily. The SARS virus there gonna argue that it's 424 00:24:53,359 --> 00:24:57,119 Speaker 1: somehow mutated even more in animals and became more I know. 425 00:24:57,359 --> 00:25:02,720 Speaker 1: But what they were doing in the Wuhan lab was 426 00:25:03,200 --> 00:25:07,080 Speaker 1: enhancing the virus dead called gain a function, right, and 427 00:25:07,520 --> 00:25:11,080 Speaker 1: it worked. They enhanced it, and that's why it was 428 00:25:11,160 --> 00:25:13,520 Speaker 1: able to jump from human to human much more easily. 429 00:25:14,440 --> 00:25:17,840 Speaker 1: See what happened is proof that their work was a 430 00:25:17,960 --> 00:25:21,200 Speaker 1: success and that was the intention of their work. Now, 431 00:25:21,480 --> 00:25:24,239 Speaker 1: was it an accidental lab link or do you think 432 00:25:24,280 --> 00:25:29,359 Speaker 1: they unleashed it? It seems like it was accidental because 433 00:25:29,400 --> 00:25:31,160 Speaker 1: of those people that were taken to the urgency room. 434 00:25:31,160 --> 00:25:34,240 Speaker 1: They're working in the lab. Yeah, although the Chinese don't 435 00:25:34,280 --> 00:25:38,199 Speaker 1: care about their own people sacrifice collateral damage, right, I mean, 436 00:25:38,280 --> 00:25:40,679 Speaker 1: I just I haven't seen the evidence that was on purpose, 437 00:25:40,880 --> 00:25:44,560 Speaker 1: but I got an open mind here. It's very possible 438 00:25:44,600 --> 00:25:46,040 Speaker 1: they were still working on it and trying to make 439 00:25:46,080 --> 00:25:48,080 Speaker 1: it even bigger and better and that got out right, 440 00:25:48,200 --> 00:25:51,600 Speaker 1: but a mistake. They knew in November twenty nineteen what happened, 441 00:25:51,960 --> 00:25:55,439 Speaker 1: and they didn't stop flights, and they wouldn't tell anyone 442 00:25:55,520 --> 00:25:58,800 Speaker 1: else in the world what was going on, and they 443 00:25:58,960 --> 00:26:02,280 Speaker 1: held to that stance for over a month. So why 444 00:26:02,359 --> 00:26:05,399 Speaker 1: is it so hard for the this other crowd to 445 00:26:05,480 --> 00:26:08,960 Speaker 1: understand this is a hostile government I don't know, is 446 00:26:09,240 --> 00:26:12,360 Speaker 1: not a friend of ours, and they do not want 447 00:26:12,359 --> 00:26:14,159 Speaker 1: to share an information on this. I don't know what 448 00:26:14,240 --> 00:26:16,320 Speaker 1: the angle, and in many regards they are the enemy, 449 00:26:16,440 --> 00:26:18,399 Speaker 1: even though they are responsible for a large part of 450 00:26:18,440 --> 00:26:21,240 Speaker 1: the world's economy. But anyway, yeah, I mean who who 451 00:26:22,000 --> 00:26:25,320 Speaker 1: whose reputation are they're protecting? What? What? What? What? What's 452 00:26:25,359 --> 00:26:28,560 Speaker 1: the group? What's the constituency that you're trying to protect? Here? 453 00:26:29,760 --> 00:26:33,080 Speaker 1: That that that very well? Maybe what happened? Is it 454 00:26:33,160 --> 00:26:35,480 Speaker 1: because they're buddies with Biden? No, I'm just kidding. No, 455 00:26:35,640 --> 00:26:38,240 Speaker 1: I mean this is Biden's FBI, this is Biden's Department 456 00:26:38,280 --> 00:26:41,879 Speaker 1: of Energy. Biden hasn't come out and disavowed and fired 457 00:26:41,960 --> 00:26:45,000 Speaker 1: these people that are going public. All right, we got 458 00:26:45,040 --> 00:26:47,240 Speaker 1: more coming up, John and Ken kf I AM six forty. 459 00:26:47,240 --> 00:26:49,960 Speaker 1: We're live everywhere the iHeartRadio. All right, coming up after 460 00:26:50,440 --> 00:26:53,520 Speaker 1: three o'clock. Our guest will be Tim Donnalley, a former 461 00:26:53,600 --> 00:26:56,399 Speaker 1: state assembly member and of course coundidate for governor. He 462 00:26:56,560 --> 00:26:58,959 Speaker 1: lives up in a mountain community and he can give 463 00:26:59,040 --> 00:27:01,560 Speaker 1: us a first hand account of what they're undergoing there 464 00:27:01,640 --> 00:27:05,560 Speaker 1: being snowed in. I just wanted to point out, and 465 00:27:05,680 --> 00:27:07,600 Speaker 1: we had a lot of callers earlier in the show, 466 00:27:08,440 --> 00:27:12,760 Speaker 1: that there has been a move by electric car manufacturers 467 00:27:12,840 --> 00:27:16,040 Speaker 1: to eliminate AM radio. We talked about this a few 468 00:27:16,040 --> 00:27:19,600 Speaker 1: weeks ago. A bunch of former heads of FEMA have 469 00:27:19,840 --> 00:27:23,800 Speaker 1: signed on together to urge those automakers to continue with 470 00:27:23,920 --> 00:27:28,119 Speaker 1: AM radio and their vehicles. Ford and Tesla, I've dropped 471 00:27:28,160 --> 00:27:32,520 Speaker 1: AM radio, claiming that I didn't know this before. Vehicles 472 00:27:32,600 --> 00:27:36,960 Speaker 1: generate electromagnetic frequencies on the same wavelength as AM radio signals, 473 00:27:37,040 --> 00:27:41,440 Speaker 1: creating buzzing and signal fading. From the interference. That was 474 00:27:41,560 --> 00:27:45,880 Speaker 1: their reason, they said, for not installing AM radio signals 475 00:27:45,880 --> 00:27:48,560 Speaker 1: and cars. But the FEMA guys say, it's really the 476 00:27:48,600 --> 00:27:52,720 Speaker 1: most dependable thing. Streaming services, everything else that has taken 477 00:27:52,760 --> 00:27:56,400 Speaker 1: over technologically could be in trouble during a real emergency 478 00:27:56,440 --> 00:27:58,760 Speaker 1: in our case side, but an earthquake. Well, I can 479 00:27:58,840 --> 00:28:01,240 Speaker 1: tell you am tense to hold up. I can tell you. 480 00:28:01,359 --> 00:28:06,800 Speaker 1: In the mountains, power failures are common from windstorms and 481 00:28:06,960 --> 00:28:11,160 Speaker 1: rain and snowstorms. Cell phones don't work very well because 482 00:28:11,200 --> 00:28:16,640 Speaker 1: of the terrain. Right, and I found the best communication device, yeah, 483 00:28:16,760 --> 00:28:20,239 Speaker 1: is radio. FM signals don't penetrate through those areas very 484 00:28:20,280 --> 00:28:23,359 Speaker 1: well at all either, because I know AM radio signals 485 00:28:23,440 --> 00:28:25,520 Speaker 1: bounce all over the place. Yeah. No, hey, you can 486 00:28:25,560 --> 00:28:28,399 Speaker 1: sometimes hear an AM station from many hundreds of miles away, right, No, 487 00:28:28,560 --> 00:28:32,399 Speaker 1: I know, Uh, we're our CAFI is very widely listened 488 00:28:32,440 --> 00:28:34,480 Speaker 1: to up in the mountain areas because it's about the only, 489 00:28:35,040 --> 00:28:38,000 Speaker 1: you know, major station you could pick up reliably throughout 490 00:28:38,800 --> 00:28:41,800 Speaker 1: as you're driving through the mountains. So you know, they're 491 00:28:41,840 --> 00:28:45,680 Speaker 1: they're all the all the big clear channel stations that 492 00:28:46,200 --> 00:28:50,600 Speaker 1: cover wide distances, especially at night. Uh, those those things 493 00:28:50,640 --> 00:28:53,320 Speaker 1: actually in an emergency are really important that they're they're 494 00:28:53,360 --> 00:28:56,800 Speaker 1: the only reliable communication you can get. Now. I mean 495 00:28:57,920 --> 00:28:59,680 Speaker 1: a lot of a lot of bad stuff can happen 496 00:29:00,240 --> 00:29:05,360 Speaker 1: to cell phone towers and signals and and electricity obviously, 497 00:29:06,400 --> 00:29:10,360 Speaker 1: you know, television goes out, Wi Fi goes out. So 498 00:29:10,440 --> 00:29:12,360 Speaker 1: I was just a call for maybe because some of 499 00:29:12,400 --> 00:29:15,160 Speaker 1: the other ev makers such as Hunday said they will 500 00:29:15,200 --> 00:29:18,000 Speaker 1: continue to put AM radio in their cars. But I'd 501 00:29:18,040 --> 00:29:19,800 Speaker 1: mentioned this some months back because I know people with 502 00:29:19,880 --> 00:29:22,800 Speaker 1: Tesla's I'm like, you know, ay, I'm radio. No. No, 503 00:29:23,040 --> 00:29:26,760 Speaker 1: fifty million people. It pisses me off. People. Yeah, fifty 504 00:29:26,760 --> 00:29:30,560 Speaker 1: million people do bozoh, and they tend to have higher 505 00:29:30,560 --> 00:29:34,520 Speaker 1: than average incomes, and a lot of people do stream 506 00:29:34,680 --> 00:29:37,320 Speaker 1: the show now, but that's still't they're still picking up 507 00:29:37,320 --> 00:29:41,120 Speaker 1: the show right now. Let's play some more audio, and 508 00:29:41,560 --> 00:29:44,520 Speaker 1: this one apparently has gone a bit viral because it 509 00:29:44,720 --> 00:29:49,160 Speaker 1: is so incredibly bombastic. One of the big stories yesterday, 510 00:29:49,200 --> 00:29:53,360 Speaker 1: of course, was the Supreme Court hearing arguments both foreign 511 00:29:53,440 --> 00:29:58,080 Speaker 1: against federal student loan forgiveness. Biden, of course proposed doing 512 00:29:58,160 --> 00:30:00,200 Speaker 1: that last year. It got stopped in its tra acts 513 00:30:00,240 --> 00:30:03,520 Speaker 1: by a bunch of lawsuits. However, the damage was done. 514 00:30:03,800 --> 00:30:06,320 Speaker 1: They wanted results in the November elections. This may have 515 00:30:06,400 --> 00:30:09,160 Speaker 1: been helpful to get some people to vote for their candidates. 516 00:30:09,600 --> 00:30:11,760 Speaker 1: The Supreme Court is looking at the challenge to the case. 517 00:30:11,840 --> 00:30:14,720 Speaker 1: So people showed up outside the Supreme Court yesterday. We 518 00:30:14,840 --> 00:30:19,160 Speaker 1: played Bernie Sanders audio. This time it's the National Teachers 519 00:30:19,280 --> 00:30:24,960 Speaker 1: Union president Randy Weingarten. Let's listen and frankly, and this 520 00:30:25,200 --> 00:30:28,960 Speaker 1: is what really pisses me off. During the pandemic, we 521 00:30:29,240 --> 00:30:33,680 Speaker 1: understood that small businesses were hurting, and we helped them, 522 00:30:33,960 --> 00:30:36,360 Speaker 1: and it didn't done to the Supreme Court to challenge it. 523 00:30:37,120 --> 00:30:40,360 Speaker 1: Thank businesses, we're hurting and we helped them, and it 524 00:30:40,400 --> 00:30:42,960 Speaker 1: didn't done the Supreme Court to challenge it. All of 525 00:30:43,080 --> 00:30:47,880 Speaker 1: a sudden, what it's about Our students they challenge it. 526 00:30:48,320 --> 00:30:52,520 Speaker 1: The corporation's challenge it. The student loan lenders challenge it. 527 00:30:53,080 --> 00:30:56,720 Speaker 1: That is not right, that is not fair, and that 528 00:30:57,040 --> 00:30:59,720 Speaker 1: is what we are fighting as well. What we say 529 00:31:02,960 --> 00:31:05,320 Speaker 1: we I mean, do you talk about apples and oranges. Yeah, 530 00:31:05,360 --> 00:31:07,920 Speaker 1: we're dealing with with small businesses hurting during the pandemic. 531 00:31:08,000 --> 00:31:10,040 Speaker 1: With all the lockdowns and everything else that were installed 532 00:31:10,040 --> 00:31:12,360 Speaker 1: over the fear of COVID there's nothing to do with 533 00:31:12,480 --> 00:31:16,160 Speaker 1: people's student loan debt. I mean, really, she's as hysterical 534 00:31:16,280 --> 00:31:19,000 Speaker 1: as she is wrong. First of all, this this this 535 00:31:19,160 --> 00:31:21,479 Speaker 1: student loan debt that people are bitching about. These are 536 00:31:21,600 --> 00:31:25,160 Speaker 1: not our school kids. These are people in their twenties 537 00:31:25,280 --> 00:31:29,680 Speaker 1: and thirties, you know, who made a deal five, ten, fifteen, 538 00:31:29,760 --> 00:31:32,320 Speaker 1: twenty years ago to borrow money and they got to 539 00:31:32,360 --> 00:31:35,640 Speaker 1: pay it back. This guy, this has nothing to do 540 00:31:36,080 --> 00:31:40,600 Speaker 1: with keeping the economy going during an emergency where the 541 00:31:40,680 --> 00:31:44,840 Speaker 1: government severely overreacted and shut too much down. Remember, the 542 00:31:44,920 --> 00:31:48,120 Speaker 1: government created a lot of a misery during COVID with 543 00:31:48,280 --> 00:31:52,800 Speaker 1: their hysterical lockdowns, so it was no more worse than California. 544 00:31:52,840 --> 00:31:56,320 Speaker 1: And California was one of the church slammed because of 545 00:31:56,440 --> 00:32:00,080 Speaker 1: what California did, but many other small businesses were. And 546 00:32:00,640 --> 00:32:04,520 Speaker 1: the idea that that somehow people who take up college 547 00:32:04,640 --> 00:32:11,280 Speaker 1: loans are some special minority class, some special protected species 548 00:32:11,920 --> 00:32:14,840 Speaker 1: that are not supposed to deal with the struggles of 549 00:32:15,800 --> 00:32:19,680 Speaker 1: the world like everyone else. I agree that tuitions are 550 00:32:19,720 --> 00:32:22,480 Speaker 1: out of control. I mean, I've seen the inflation numbers 551 00:32:22,520 --> 00:32:25,080 Speaker 1: the last twenty years, although maybe not more recently, inflation 552 00:32:25,160 --> 00:32:26,760 Speaker 1: has been really bad. But this has been one of 553 00:32:26,800 --> 00:32:30,000 Speaker 1: the fastest climbers. And you know, one prices because some 554 00:32:30,120 --> 00:32:34,200 Speaker 1: of these universities have as many administrators as they have students. Seriously, 555 00:32:34,440 --> 00:32:37,240 Speaker 1: there is a one to one relationship between the number 556 00:32:37,280 --> 00:32:42,440 Speaker 1: of administrators and students. And what are these administrators doing. 557 00:32:44,280 --> 00:32:47,680 Speaker 1: You know, they've created these massive diversity, equity and inclusion 558 00:32:47,760 --> 00:32:53,640 Speaker 1: departments where they're busy creating fake controversies. I thought it 559 00:32:53,680 --> 00:32:55,880 Speaker 1: was also just because they know that people believe that 560 00:32:55,960 --> 00:32:57,560 Speaker 1: they have to have a college degree to have any 561 00:32:57,640 --> 00:32:59,800 Speaker 1: kind of successful jobs. So let's take advantage of that 562 00:33:00,440 --> 00:33:03,240 Speaker 1: by charging them premium intuitions. But if you're honor of that, 563 00:33:03,400 --> 00:33:05,320 Speaker 1: you are going to have the government back all the 564 00:33:05,440 --> 00:33:07,960 Speaker 1: student loans. What if you're running a college, what are 565 00:33:08,000 --> 00:33:10,480 Speaker 1: you gonna do. You're gonna raise your prices because the 566 00:33:10,600 --> 00:33:16,280 Speaker 1: government is going to back the loans. Yeah. So, just 567 00:33:16,440 --> 00:33:20,040 Speaker 1: the way they created all this inflation by dumping trillions 568 00:33:20,080 --> 00:33:22,719 Speaker 1: of dollars in fake money into the system, they created 569 00:33:22,800 --> 00:33:26,640 Speaker 1: inflation at the college level by basically dumping tons of 570 00:33:26,720 --> 00:33:31,640 Speaker 1: money into the college loan system and the college. Fact 571 00:33:31,680 --> 00:33:33,920 Speaker 1: that this is a union hack is not surprising. Who 572 00:33:34,160 --> 00:33:37,960 Speaker 1: she was a crazy person because she was pushing for 573 00:33:38,160 --> 00:33:40,320 Speaker 1: the total lockdown of schools that went on the year 574 00:33:40,360 --> 00:33:42,000 Speaker 1: and a half. I know, so she ruined a lot 575 00:33:42,040 --> 00:33:44,360 Speaker 1: of children's lives. I mean, I mean she out be 576 00:33:44,520 --> 00:33:47,160 Speaker 1: locked up somewhere and you could see why by listening 577 00:33:47,200 --> 00:33:49,880 Speaker 1: to her screech and squeal. Yeah, she's really over the 578 00:33:49,960 --> 00:33:54,000 Speaker 1: top and just worth mentioning for five minutes. Locally, the 579 00:33:54,120 --> 00:33:57,080 Speaker 1: woman that heads up United Teachers Los Angeles, and we 580 00:33:57,200 --> 00:33:58,840 Speaker 1: threw her in the dump store. I think a couple 581 00:33:58,920 --> 00:34:03,400 Speaker 1: of times. That's Cecily my art cruise. She got a 582 00:34:03,440 --> 00:34:06,600 Speaker 1: second term. Of course there's four more years of her coming. Yeah, 583 00:34:06,880 --> 00:34:09,920 Speaker 1: that's why it's like the headline they re elect their 584 00:34:10,000 --> 00:34:13,279 Speaker 1: leader amid push from twenty percent raise. I think, yeah, 585 00:34:13,280 --> 00:34:15,600 Speaker 1: they're trying to get a twenty percent percent. They've done 586 00:34:15,600 --> 00:34:17,879 Speaker 1: a great job at the schools. Yeah, they haven't shown 587 00:34:17,920 --> 00:34:21,880 Speaker 1: up in a year and a half. School tests scorers 588 00:34:21,920 --> 00:34:25,319 Speaker 1: for math and reading or at all time lows. Uh. 589 00:34:25,640 --> 00:34:29,239 Speaker 1: Some children are several years behind where they should be now. 590 00:34:29,640 --> 00:34:32,239 Speaker 1: And it was all the teachers doing. And it is 591 00:34:32,320 --> 00:34:34,759 Speaker 1: the teachers, the individual teachers. A lot of people go, oh, 592 00:34:34,760 --> 00:34:37,120 Speaker 1: a little make fun of the teachers. It's actually the union. 593 00:34:37,280 --> 00:34:40,719 Speaker 1: No it's the teachers. Look who they elected here. It 594 00:34:40,920 --> 00:34:44,040 Speaker 1: is the teachers who have gone beyond just greedy. You 595 00:34:44,120 --> 00:34:47,160 Speaker 1: can deal with greedy. Now they're greedy and they're crazy. 596 00:34:48,320 --> 00:34:50,360 Speaker 1: And of course it's the Times points out though she 597 00:34:50,600 --> 00:34:52,879 Speaker 1: is the first woman of color to head the union. Yeah, 598 00:34:52,920 --> 00:34:56,080 Speaker 1: that's that's great. Well that's good. Tell it to the 599 00:34:56,160 --> 00:34:58,080 Speaker 1: kid who missed school for a year and a half. Oh, 600 00:34:58,120 --> 00:35:01,200 Speaker 1: I remember this, this union lead. Remember she was calling 601 00:35:01,360 --> 00:35:05,080 Speaker 1: parents who wanted the schools reopened. They were racist. I 602 00:35:05,160 --> 00:35:08,439 Speaker 1: remember that they were racist. If you wanted your child 603 00:35:08,520 --> 00:35:11,560 Speaker 1: to be taught inside a school classroom, you were a racist. 604 00:35:11,960 --> 00:35:14,960 Speaker 1: So of course this kook gets re elected. Of course 605 00:35:15,040 --> 00:35:17,640 Speaker 1: she was also pushing for homes for the homeless. There's 606 00:35:17,680 --> 00:35:19,480 Speaker 1: nothing to do with her job as union president. But 607 00:35:20,760 --> 00:35:22,760 Speaker 1: these people get so full of themselves, all right, public 608 00:35:22,800 --> 00:35:26,200 Speaker 1: school system is completely destroyed in La. Coming up next, 609 00:35:26,239 --> 00:35:28,120 Speaker 1: our guest will be Tim Donnelly. He's been on the 610 00:35:28,160 --> 00:35:31,280 Speaker 1: show it's been a while. Described as husband, father, businessman, 611 00:35:31,320 --> 00:35:33,719 Speaker 1: and author. He's a former state assembly member and of 612 00:35:33,800 --> 00:35:36,680 Speaker 1: course he lives up in the San Bernardino Mountain communities 613 00:35:36,719 --> 00:35:38,600 Speaker 1: and he's going to talk about what's going on up there. 614 00:35:38,719 --> 00:35:41,399 Speaker 1: With the heavy snow, and people are locked in their 615 00:35:41,440 --> 00:35:43,400 Speaker 1: homes and the roads are on cleared. John and Ken 616 00:35:43,480 --> 00:35:46,040 Speaker 1: calf I AM six forty Live Everywhere, the iHeart Radio, 617 00:35:46,280 --> 00:35:48,560 Speaker 1: and Devi Mark Litton the twenty four Hour Cafin Newsroom 618 00:35:49,680 --> 00:35:53,239 Speaker 1: hurt any of our secret mind control hidden messages recently, No, 619 00:35:54,360 --> 00:35:56,360 Speaker 1: that's because we're really good at it.