1 00:00:00,160 --> 00:00:07,960 Speaker 1: On February third, we had a big train derailment fifty cars. 2 00:00:08,520 --> 00:00:13,680 Speaker 1: This happened in East Palestine, Ohio. This train was traveling 3 00:00:13,720 --> 00:00:18,120 Speaker 1: from Madison, Illinois to Conway, Pennsylvania. Does Tim know people 4 00:00:18,120 --> 00:00:23,160 Speaker 1: there anyway? The rail operator was no Folk Southern. There 5 00:00:23,160 --> 00:00:26,599 Speaker 1: were no injuries. However, one of the train cars was 6 00:00:26,640 --> 00:00:31,880 Speaker 1: releasing vinyl chloride. Vinyl chloride is used to make the 7 00:00:32,120 --> 00:00:36,000 Speaker 1: polyvinyl chloride hard plastic resin used in a bunch of 8 00:00:36,080 --> 00:00:41,360 Speaker 1: plastic products, pipes, wires, packaging materials, so that's why it 9 00:00:41,400 --> 00:00:46,520 Speaker 1: was being shipped, probably from one place to another. Days later, 10 00:00:47,520 --> 00:00:51,120 Speaker 1: officials warned people to evacuate so crews could release the 11 00:00:51,159 --> 00:00:54,400 Speaker 1: toxic chemicals into the air from the five derailed tanker 12 00:00:54,440 --> 00:00:58,160 Speaker 1: cars that were in danger of exploding. So vinyl chloride 13 00:00:58,240 --> 00:01:02,240 Speaker 1: was slowly released from the rail cars into a trough 14 00:01:03,080 --> 00:01:08,040 Speaker 1: that was then ignited, creating a large plum of smoke 15 00:01:08,920 --> 00:01:14,240 Speaker 1: above the little town of East Palestine, Ohio. The evacuation 16 00:01:14,520 --> 00:01:19,080 Speaker 1: was lifted. Federal and state officials have repeatedly set it 17 00:01:19,240 --> 00:01:22,399 Speaker 1: is safe to return to the area. Air testing in 18 00:01:22,440 --> 00:01:25,080 Speaker 1: the town and inside hundreds of homes not showing any 19 00:01:25,160 --> 00:01:30,200 Speaker 1: concerning levels of contaminants. They also claim that the municipal 20 00:01:30,280 --> 00:01:33,440 Speaker 1: drinking water is quite safe, but in case you're concerned, 21 00:01:33,480 --> 00:01:37,160 Speaker 1: they've made bottled water available while testing is conducted for 22 00:01:37,240 --> 00:01:40,959 Speaker 1: those with private wells. We bring it that story, and 23 00:01:41,000 --> 00:01:46,319 Speaker 1: then we bring you this update. Three weeks after this derament, 24 00:01:46,959 --> 00:01:50,560 Speaker 1: people are beginning to report severe health conditions. Melissa Blake, 25 00:01:51,480 --> 00:01:53,520 Speaker 1: who lives within a mile of the crash, has told 26 00:01:53,600 --> 00:01:57,279 Speaker 1: NBC News that, oh and picture this. She was coughing 27 00:01:57,320 --> 00:02:03,040 Speaker 1: up gray mucus. Oh ever want your muc to gray? Yeah? Yeah, 28 00:02:03,160 --> 00:02:07,280 Speaker 1: usually it's kind of clearer green green. Maybe she was 29 00:02:07,280 --> 00:02:12,040 Speaker 1: struggling to breathe gray. She was diagnosed with acute bronchitis 30 00:02:12,120 --> 00:02:14,919 Speaker 1: due to chemical fumes. Sounds like after a trip to 31 00:02:14,960 --> 00:02:18,280 Speaker 1: an emergency room, gray is like your your lung tissue died. 32 00:02:20,400 --> 00:02:22,959 Speaker 1: She says. They gave me a breathing machine, they put 33 00:02:22,960 --> 00:02:25,960 Speaker 1: me on oxygen, they gave me three types of steroids, 34 00:02:27,040 --> 00:02:29,880 Speaker 1: but she says she still cannot return home. What I 35 00:02:29,919 --> 00:02:35,920 Speaker 1: wonder is whether the initial inhalation caused damage in your 36 00:02:36,000 --> 00:02:42,600 Speaker 1: lungs and your bronchial tubes. Okay, rather than because let's 37 00:02:42,800 --> 00:02:45,440 Speaker 1: let's assume that they're not lying about the testing for 38 00:02:45,520 --> 00:02:48,920 Speaker 1: just a moment, but you still have all these these problems. 39 00:02:48,960 --> 00:02:52,240 Speaker 1: And could it be that this this is like in 40 00:02:52,280 --> 00:02:54,799 Speaker 1: a fire, Right, the fire is out, but if you 41 00:02:54,919 --> 00:02:57,520 Speaker 1: got burned, you're gonna have scars for the rest of 42 00:02:57,520 --> 00:03:02,480 Speaker 1: your life. Damage gets done and it may not be reversible, 43 00:03:04,160 --> 00:03:06,200 Speaker 1: and maybe it doesn't show up for a week or two. 44 00:03:07,000 --> 00:03:10,639 Speaker 1: Five of the ten workers at a manufacturing company called 45 00:03:10,720 --> 00:03:13,360 Speaker 1: serum Fab located next to the crash site also became 46 00:03:13,440 --> 00:03:18,240 Speaker 1: sick after the derailment. People end up with rash's nausea, vomiting, 47 00:03:18,280 --> 00:03:22,000 Speaker 1: bloody noses, bloody noses, an eye issues. It was coughing 48 00:03:22,000 --> 00:03:27,679 Speaker 1: and weeezing. See, there's also an accumulation problem. I don't 49 00:03:27,680 --> 00:03:31,080 Speaker 1: think the levels are zero. I think the government is 50 00:03:31,080 --> 00:03:36,680 Speaker 1: saying they're not dangerous. But if every day you're inhaling 51 00:03:36,920 --> 00:03:40,040 Speaker 1: a lower level higher than normal, but a lower level 52 00:03:40,040 --> 00:03:43,800 Speaker 1: than dangerous, then there could be an accumulation process and 53 00:03:43,840 --> 00:03:50,480 Speaker 1: then daily damage to your lungs and bronchial tubes. I mean, 54 00:03:50,560 --> 00:03:56,000 Speaker 1: clearly there's something poisonous that these people are ingesting. Yeah, 55 00:03:56,080 --> 00:03:57,880 Speaker 1: and they're trying to say if it's related to the 56 00:03:57,920 --> 00:04:00,640 Speaker 1: derailment or it could be some other fact, but it 57 00:04:00,760 --> 00:04:05,440 Speaker 1: can't be a coincidence that people say it's some it's 58 00:04:05,480 --> 00:04:09,760 Speaker 1: something in between the current reading being in the safe 59 00:04:09,800 --> 00:04:14,080 Speaker 1: category and and they're you know, their their lungs got poisoned. 60 00:04:14,680 --> 00:04:17,640 Speaker 1: So what what's going on here? Is it an accumulation 61 00:04:18,520 --> 00:04:22,240 Speaker 1: or is it that? Or maybe they're they're what they 62 00:04:22,279 --> 00:04:25,880 Speaker 1: consider to be a safe amount of chemicals in the 63 00:04:25,880 --> 00:04:28,400 Speaker 1: air is actually not safe to some people because everybody 64 00:04:28,440 --> 00:04:32,599 Speaker 1: has different tolerances, everybody has different genetics, right, or was 65 00:04:32,600 --> 00:04:35,000 Speaker 1: the damage done the first day and then it I mean, 66 00:04:35,040 --> 00:04:42,400 Speaker 1: I know the people who got severely diseased, their lungs 67 00:04:42,400 --> 00:04:46,320 Speaker 1: got severely diseased. Who were the rescuers nine to eleven 68 00:04:46,320 --> 00:04:48,200 Speaker 1: in New York City back in two thousand and one. 69 00:04:48,560 --> 00:04:51,640 Speaker 1: Some of that stuff took months and years to develop. 70 00:04:53,080 --> 00:04:55,400 Speaker 1: You know. You you you end up with with like 71 00:04:55,560 --> 00:05:00,800 Speaker 1: DNA changes, changes in your genetical genetic material. Oh yeah, well, 72 00:05:00,839 --> 00:05:02,839 Speaker 1: I mean like ten times if you walked into a 73 00:05:02,920 --> 00:05:07,280 Speaker 1: building in California, we got those propositions signs up there, right. Yeah. Now, 74 00:05:07,279 --> 00:05:11,240 Speaker 1: imagine if the whole building collapses and the building components 75 00:05:11,640 --> 00:05:13,600 Speaker 1: turn into dust, that they end up in your lungs. Now, 76 00:05:13,640 --> 00:05:15,280 Speaker 1: you can see what we're talking like as best is 77 00:05:15,400 --> 00:05:19,480 Speaker 1: right exactly. The other people who smoke, everybody knows somebody 78 00:05:19,480 --> 00:05:21,080 Speaker 1: in their family. Mike father in law was like, they 79 00:05:21,120 --> 00:05:25,360 Speaker 1: smoke for sixty years, lived to ninety one. You know 80 00:05:26,200 --> 00:05:30,240 Speaker 1: at the end, you know, he had some emphysema. Some 81 00:05:30,320 --> 00:05:33,240 Speaker 1: people ended up with lung cancer in their forties and fifties, 82 00:05:33,279 --> 00:05:36,960 Speaker 1: even after they quit smoking ten years earlier. Again, it 83 00:05:37,000 --> 00:05:41,080 Speaker 1: depends on your own personal makeup some pits. It's a 84 00:05:41,080 --> 00:05:44,800 Speaker 1: whole genetic mix and just your susceptibility to certain illnesses. Yeah, 85 00:05:44,839 --> 00:05:48,840 Speaker 1: you inhale tobacco and all its chemical contaminants, you can 86 00:05:48,880 --> 00:05:52,080 Speaker 1: get cancer in a short number of years or not. 87 00:05:52,920 --> 00:05:58,280 Speaker 1: Just random Now. Meanwhile, the EPA has told the train 88 00:05:58,400 --> 00:06:03,360 Speaker 1: company Norfolk Southern, to stop shipping its toxic waste out 89 00:06:03,360 --> 00:06:06,480 Speaker 1: of East Palestine, Ohio, and two other places until they 90 00:06:06,520 --> 00:06:08,440 Speaker 1: can take a closer look. I think we told you 91 00:06:08,560 --> 00:06:12,120 Speaker 1: last week some of it was going to go to Texas. Yeah, 92 00:06:12,160 --> 00:06:14,640 Speaker 1: and actually someone's going to go to Michigan. Officials in 93 00:06:14,680 --> 00:06:18,400 Speaker 1: both states have complained that they weren't told contaminated water 94 00:06:18,480 --> 00:06:21,440 Speaker 1: and soil was coming their way. And where do you 95 00:06:21,440 --> 00:06:23,400 Speaker 1: put it when you bring it to Texas and Michigan. 96 00:06:23,440 --> 00:06:26,240 Speaker 1: I really deserted place that you can dump it there. 97 00:06:26,240 --> 00:06:30,400 Speaker 1: There is so much open space in this country. Yeah, 98 00:06:30,440 --> 00:06:34,080 Speaker 1: two million gallons of firefighting water they're supposed to be 99 00:06:34,080 --> 00:06:36,880 Speaker 1: disposed of in Harris County, Texas. They should be able 100 00:06:36,880 --> 00:06:41,159 Speaker 1: to cordon off a corner in Texas or Oklahoma, Nebraska, 101 00:06:42,160 --> 00:06:45,039 Speaker 1: anywhere out in the Great Plains Wyoming or in the 102 00:06:45,040 --> 00:06:49,279 Speaker 1: Southwest Wyoming. Yeah, all those places. Well, just take it 103 00:06:49,320 --> 00:06:52,360 Speaker 1: to Canada. Canada is a good place to go. Greenland. 104 00:06:52,880 --> 00:06:54,680 Speaker 1: I don't know. It's tough to get in the ground 105 00:06:54,680 --> 00:06:57,280 Speaker 1: there right now. It's a winter. But now the guy 106 00:06:57,600 --> 00:07:00,200 Speaker 1: and you're posted a story on a guy and I 107 00:07:00,240 --> 00:07:04,120 Speaker 1: don't know if there's any audio of him, Eric, Is 108 00:07:04,120 --> 00:07:07,120 Speaker 1: there any audio of Wade love It. He's an auto 109 00:07:07,200 --> 00:07:11,360 Speaker 1: detailer and he's Palestine, and his voice sounds as if 110 00:07:11,600 --> 00:07:15,120 Speaker 1: as if he's been inhaling helium. He says, my voice 111 00:07:15,160 --> 00:07:16,840 Speaker 1: sounds like I saw that story over the weekend that 112 00:07:16,840 --> 00:07:19,480 Speaker 1: they sound like Mickey Mouse or Yeah. Doctors say, I 113 00:07:19,560 --> 00:07:23,040 Speaker 1: have to I have the chemicals in me, but there's 114 00:07:23,080 --> 00:07:25,480 Speaker 1: no one in town who can run the toxicological test 115 00:07:25,560 --> 00:07:28,320 Speaker 1: to find out which ones they are. My voice sounds 116 00:07:28,320 --> 00:07:31,160 Speaker 1: like Mickey Mouse. I found it. It's not really like 117 00:07:31,240 --> 00:07:33,840 Speaker 1: Mickey Mouse, but it's it's a pretty raspy I'll play it. 118 00:07:33,920 --> 00:07:37,480 Speaker 1: Hold on raspy. Okay, I thought it sounded like somebody 119 00:07:37,520 --> 00:07:42,520 Speaker 1: sucked and heal him like a chipmunk voice. Arena Al 120 00:07:42,600 --> 00:07:47,200 Speaker 1: sad with cars from water and it's just been like December, 121 00:07:47,280 --> 00:07:51,400 Speaker 1: says the train blew up. Well that's great. You know what, 122 00:07:51,400 --> 00:07:53,160 Speaker 1: you'd have to play me his real voice from a 123 00:07:53,160 --> 00:07:55,120 Speaker 1: couple of months ago, and then I'd really be shocked. 124 00:07:55,120 --> 00:07:58,640 Speaker 1: But that's pretty bad. Yeah, yeah, he says. That's a squeaker. 125 00:07:58,760 --> 00:08:01,320 Speaker 1: That's like he's really straining there, and right yea high. 126 00:08:02,720 --> 00:08:04,720 Speaker 1: My chest hurts so much at night, I feel like 127 00:08:04,800 --> 00:08:07,840 Speaker 1: I'm drowning. I cough up flame a lot. I lost 128 00:08:07,880 --> 00:08:09,840 Speaker 1: my job because the doctor won't release me to go 129 00:08:09,880 --> 00:08:15,920 Speaker 1: to work. Oh no, that's just well has he had 130 00:08:15,960 --> 00:08:19,640 Speaker 1: an X ray? Has he had any medical evaluation done? 131 00:08:19,640 --> 00:08:21,560 Speaker 1: I mean well, it says here's He says, there's no 132 00:08:21,600 --> 00:08:23,840 Speaker 1: one in town who can run the toxological test. We'll 133 00:08:23,880 --> 00:08:25,640 Speaker 1: get in your car and go find the town that 134 00:08:25,680 --> 00:08:28,440 Speaker 1: has them. Yeah, that's the problem with people in small towns. 135 00:08:28,440 --> 00:08:30,560 Speaker 1: Are like I don't feel like doing that. You gotta go. 136 00:08:30,640 --> 00:08:32,280 Speaker 1: You want me to drive all the way where you 137 00:08:32,360 --> 00:08:34,120 Speaker 1: go to the Cleveland Clinic. I bet you they can 138 00:08:34,160 --> 00:08:37,959 Speaker 1: do it. That's one of the premiere research healthcare centers 139 00:08:38,160 --> 00:08:42,800 Speaker 1: in the world. One point seven million gallons of contaminated 140 00:08:42,800 --> 00:08:47,840 Speaker 1: liquids been removed from the side of the derailment. Yeah, yeah, 141 00:08:47,840 --> 00:08:51,600 Speaker 1: and that's and and and they burned a million gallons 142 00:08:52,840 --> 00:08:56,400 Speaker 1: they did. Yes, No, they built a mill. No, they 143 00:08:56,480 --> 00:09:01,720 Speaker 1: burned a million pounds, which which translates to almost ten 144 00:09:02,040 --> 00:09:07,480 Speaker 1: million gallons of liquid. That's what went into the atmosphere 145 00:09:07,480 --> 00:09:09,640 Speaker 1: when they did the burning. And that doesn't count the 146 00:09:09,640 --> 00:09:13,520 Speaker 1: stuff that burned during the fire. And plush, you're in 147 00:09:13,559 --> 00:09:16,800 Speaker 1: the fire. All other kinds of chemicals were released, right, 148 00:09:16,840 --> 00:09:20,040 Speaker 1: not just the vinyl chloride, but that you know, whatever 149 00:09:20,080 --> 00:09:23,400 Speaker 1: the train is made of, the train car. All right, 150 00:09:23,559 --> 00:09:25,480 Speaker 1: we got more coming up. We will play for you 151 00:09:26,080 --> 00:09:31,240 Speaker 1: fresh comments from old Joe Biden, where apparently he's blaming 152 00:09:31,320 --> 00:09:36,319 Speaker 1: at least the media for americans perception that the economy 153 00:09:36,800 --> 00:09:39,240 Speaker 1: is still in a rough ride. Now, we'll also give 154 00:09:39,280 --> 00:09:41,520 Speaker 1: you the newest inflation numbers. They came out the other 155 00:09:41,600 --> 00:09:45,120 Speaker 1: day and they're the highest since last June. I thought 156 00:09:45,160 --> 00:09:47,559 Speaker 1: all this FED measures to raise the interest rates was 157 00:09:47,600 --> 00:09:50,760 Speaker 1: supposed to be having an effect on the inflationary pressure, 158 00:09:50,800 --> 00:09:54,520 Speaker 1: but apparently not so from this report. John and Ken 159 00:09:54,559 --> 00:09:57,680 Speaker 1: caf I am six forty. We're live everywhere on the 160 00:09:57,720 --> 00:10:01,160 Speaker 1: iHeartRadio app. Coming up after the news thirty, we'll give 161 00:10:01,200 --> 00:10:06,360 Speaker 1: you the latest reports on electric vehicles, since California is 162 00:10:06,400 --> 00:10:10,440 Speaker 1: mandating in a short twelve years that all new cars 163 00:10:10,440 --> 00:10:14,480 Speaker 1: sold in the state have to be electric or they 164 00:10:14,480 --> 00:10:20,360 Speaker 1: have no emissions zero emission vehicles. There's some things you 165 00:10:20,400 --> 00:10:23,280 Speaker 1: need to know now. These reports don't affect us so 166 00:10:23,400 --> 00:10:25,640 Speaker 1: much here in the state of California, though this has 167 00:10:25,640 --> 00:10:28,600 Speaker 1: been a very cold winter right there. This winter would 168 00:10:28,600 --> 00:10:35,679 Speaker 1: have huh, this winter would have affected people here in California. Okay, yeah, 169 00:10:35,720 --> 00:10:37,040 Speaker 1: you pause, and I thought you were going to say 170 00:10:37,040 --> 00:10:40,240 Speaker 1: something else. No, yeah, yeah, probably that's the case, particularly 171 00:10:40,360 --> 00:10:41,959 Speaker 1: right now if you're up at Big Bear, if you 172 00:10:42,000 --> 00:10:45,680 Speaker 1: get my heads right, places like that arrowhead. Anyway, we'll 173 00:10:45,679 --> 00:10:49,400 Speaker 1: tell you what this is about. And also an interesting 174 00:10:49,480 --> 00:10:53,800 Speaker 1: report Atlantic Magazine wrote about electric vehicles and how they 175 00:10:53,840 --> 00:10:56,800 Speaker 1: may be always out of reach of people that have 176 00:10:57,240 --> 00:11:01,000 Speaker 1: average salaries in this country. And there's a reason for that, 177 00:11:01,600 --> 00:11:04,760 Speaker 1: because you've got to pay more to get more. All 178 00:11:04,800 --> 00:11:07,880 Speaker 1: of this on our report coming up after the news 179 00:11:07,920 --> 00:11:16,080 Speaker 1: at two thirty. The Federal Reserves preferred inflation gauge rose 180 00:11:16,280 --> 00:11:22,559 Speaker 1: last month at its fastest patient's June. Now you've been 181 00:11:22,600 --> 00:11:26,080 Speaker 1: listening and following the inflation reports over the last several months, 182 00:11:26,640 --> 00:11:29,640 Speaker 1: the attitude was, well, inflation still high, but we're starting 183 00:11:29,640 --> 00:11:33,480 Speaker 1: to get a handle on it. Consumer prices rose point 184 00:11:33,520 --> 00:11:37,480 Speaker 1: six percent from the December to January. That's up from 185 00:11:37,520 --> 00:11:41,400 Speaker 1: point two percent from November to December. Well, this would 186 00:11:41,400 --> 00:11:45,360 Speaker 1: be the latest in a long series of alleged predictions 187 00:11:45,400 --> 00:11:50,360 Speaker 1: that were wrong because they these government experts never saw 188 00:11:50,400 --> 00:11:53,839 Speaker 1: this coming to begin with. Then when it came, they said, oh, 189 00:11:53,840 --> 00:11:57,280 Speaker 1: it's going to be transitory, transit. They made it sound 190 00:11:57,320 --> 00:11:59,920 Speaker 1: like in a six months, just a little bump supply chain, 191 00:12:00,280 --> 00:12:03,880 Speaker 1: you know, everybody getting used to being back at work 192 00:12:03,920 --> 00:12:07,200 Speaker 1: and moving all the products around the world. And then 193 00:12:07,360 --> 00:12:09,959 Speaker 1: it's a year and a half and they're going, well, 194 00:12:10,120 --> 00:12:13,320 Speaker 1: it's dropping down, right, Yeah, drop dropped, Except that isn't. 195 00:12:13,360 --> 00:12:17,600 Speaker 1: It keeps going up. So they're wrong. They're wrong. They're wrong, 196 00:12:17,760 --> 00:12:21,160 Speaker 1: and they're wrong, and they're not handing out any money anymore? 197 00:12:21,200 --> 00:12:26,319 Speaker 1: Are they? Are there still stimulus checks And no, there's 198 00:12:26,320 --> 00:12:30,760 Speaker 1: been no new bills passed for trillions of dollars because 199 00:12:30,760 --> 00:12:34,480 Speaker 1: there were several of those between Trump and Biden. Both 200 00:12:34,480 --> 00:12:39,320 Speaker 1: administrations right flooded the market several times over right, But 201 00:12:41,360 --> 00:12:44,839 Speaker 1: I've heard that once these things start, it just can 202 00:12:45,280 --> 00:12:48,200 Speaker 1: it gets caught in a loop because in its most 203 00:12:48,200 --> 00:12:53,160 Speaker 1: basic way is prices go up, wages have to go up. Right, Well, 204 00:12:53,200 --> 00:12:55,120 Speaker 1: if wages go up, the prices have to go up, 205 00:12:55,160 --> 00:12:57,920 Speaker 1: which means the wages have to go up, and that's 206 00:12:57,960 --> 00:13:04,199 Speaker 1: the spin cycle, and it's it's it's hard to break 207 00:13:04,240 --> 00:13:09,520 Speaker 1: it unless you really suck. Unless you force companies with 208 00:13:09,559 --> 00:13:12,360 Speaker 1: such high interest rates they simply can't borrow another dollar 209 00:13:13,520 --> 00:13:17,320 Speaker 1: and they just start cutting back. Well, I know that 210 00:13:17,679 --> 00:13:20,480 Speaker 1: raising the interest rates is definitely having an effect on 211 00:13:20,559 --> 00:13:25,760 Speaker 1: the housing markets. Yes, that's a different type of spending 212 00:13:25,800 --> 00:13:28,679 Speaker 1: than just people buying food and other things they spend 213 00:13:28,720 --> 00:13:31,880 Speaker 1: on a daily basis. So maybe that's all it's doing, 214 00:13:32,840 --> 00:13:35,360 Speaker 1: is having an effect on the on the housing market 215 00:13:35,400 --> 00:13:37,520 Speaker 1: in terms of people buying homes because the interests to 216 00:13:37,559 --> 00:13:40,560 Speaker 1: barring rates are too high. But as far you would 217 00:13:40,559 --> 00:13:43,880 Speaker 1: think inflation would cause people to cut back some of 218 00:13:43,920 --> 00:13:48,080 Speaker 1: their consumer spending, but apparently went up and went up 219 00:13:48,160 --> 00:13:51,120 Speaker 1: quite a big rate from the month before. So you 220 00:13:51,160 --> 00:13:53,520 Speaker 1: just can't slow people down. And I know that talk 221 00:13:53,559 --> 00:13:57,160 Speaker 1: about last hour that I really believe this for your people, 222 00:13:57,160 --> 00:13:59,840 Speaker 1: believe I'm back. I'm going to start doing all the 223 00:13:59,880 --> 00:14:01,839 Speaker 1: things I did in twenty nineteen, and I'm gonna start 224 00:14:01,880 --> 00:14:04,280 Speaker 1: spending all the money and more that I haven't spent 225 00:14:04,320 --> 00:14:09,559 Speaker 1: the last three years. Credit card debt is up, it is, yeah, Yeah, 226 00:14:09,559 --> 00:14:11,120 Speaker 1: I had some story the other day that people in 227 00:14:11,160 --> 00:14:14,760 Speaker 1: their thirties are heavily in debt. Yeah. I don't know 228 00:14:14,800 --> 00:14:17,080 Speaker 1: why that particular decade it gets. That's when people start 229 00:14:17,120 --> 00:14:20,240 Speaker 1: to really make their decisions about spending you know, home 230 00:14:20,400 --> 00:14:23,960 Speaker 1: their cars. And people in their thirties, they came they 231 00:14:24,000 --> 00:14:26,040 Speaker 1: came out of the workforce at a bad time. It 232 00:14:26,120 --> 00:14:28,400 Speaker 1: was the two thousand and eight crash, the really the 233 00:14:29,320 --> 00:14:35,040 Speaker 1: the mortgage meltdown. The mortgage meltdown, right, and so that 234 00:14:35,240 --> 00:14:38,600 Speaker 1: caused a huge recession, and a lot of people lost 235 00:14:38,640 --> 00:14:41,320 Speaker 1: their jobs or couldn't get hired, and they were coming 236 00:14:41,360 --> 00:14:44,280 Speaker 1: out with a lot of college debt, right, and then 237 00:14:44,320 --> 00:14:48,320 Speaker 1: they finally get rolling and now they're dealing with you know, 238 00:14:49,600 --> 00:14:53,200 Speaker 1: you know, eight nine percent inflation, and they never dug 239 00:14:53,200 --> 00:14:55,200 Speaker 1: out from the debt. They never dug out from their 240 00:14:55,200 --> 00:14:58,840 Speaker 1: depressed salaries the first few years of their working life. 241 00:14:59,560 --> 00:15:02,680 Speaker 1: And if they say people who came into the job 242 00:15:02,720 --> 00:15:04,640 Speaker 1: market around two thousand and eight are going to make 243 00:15:04,720 --> 00:15:08,520 Speaker 1: like x percent less in their life than people who 244 00:15:08,600 --> 00:15:12,600 Speaker 1: came out in other years recently, it just set them 245 00:15:12,640 --> 00:15:17,040 Speaker 1: on a slower track to earn money. Yeah, all right, Well, 246 00:15:17,800 --> 00:15:21,760 Speaker 1: on the economy, we have some new audio from old 247 00:15:22,000 --> 00:15:25,720 Speaker 1: Joe Biden. He sat down with ABC News anchor David 248 00:15:25,840 --> 00:15:29,000 Speaker 1: nir to talk about a bunch of topics, and they've 249 00:15:29,000 --> 00:15:34,040 Speaker 1: released this one concerning Biden and the economic news. I 250 00:15:34,080 --> 00:15:37,000 Speaker 1: want to ask about the economy. You talk often about 251 00:15:37,000 --> 00:15:40,120 Speaker 1: how the inflation, the rate of inflation has begun to slow, 252 00:15:40,720 --> 00:15:44,080 Speaker 1: Unemployment now at its lowest level in fifty years. But 253 00:15:44,200 --> 00:15:47,080 Speaker 1: you've also seen the polls. Our latest ABC News poll 254 00:15:47,120 --> 00:15:50,360 Speaker 1: shows four and ten americans say they're worse off than 255 00:15:50,400 --> 00:15:53,440 Speaker 1: when you're elected. Only sixteen percent said they were better off. 256 00:15:54,360 --> 00:15:58,120 Speaker 1: So why is that? Why aren't Americans feeling this? Well? Look, 257 00:15:58,200 --> 00:16:02,240 Speaker 1: I think it's goes well on the economy. Think about it. 258 00:16:02,640 --> 00:16:04,920 Speaker 1: You make the news, I mean, you interview for the news. 259 00:16:05,560 --> 00:16:06,880 Speaker 1: Can you think of any of the I turn on 260 00:16:06,920 --> 00:16:10,600 Speaker 1: the television? Good God, that makes me feel good? Almost anything. 261 00:16:11,520 --> 00:16:14,560 Speaker 1: Everything is in the negative. We're also finding out now 262 00:16:14,600 --> 00:16:17,720 Speaker 1: that one of the outlets is decided that they will 263 00:16:17,760 --> 00:16:20,480 Speaker 1: put things on they know to be false in order 264 00:16:20,560 --> 00:16:24,160 Speaker 1: to increase their ratings. So I think things will allow 265 00:16:24,200 --> 00:16:26,360 Speaker 1: to whack. And I don't blame people for being down. 266 00:16:26,880 --> 00:16:29,200 Speaker 1: You know, when you had a year or two years 267 00:16:29,280 --> 00:16:34,440 Speaker 1: of the pandemic, kids out of school, the mental health problems, 268 00:16:34,440 --> 00:16:37,840 Speaker 1: and the country are seriously increased, especially among young people. 269 00:16:38,320 --> 00:16:41,720 Speaker 1: Some things are for example, even finally down about employment. 270 00:16:41,880 --> 00:16:45,840 Speaker 1: They've got better jobs or making more money. Inflation is 271 00:16:45,880 --> 00:16:49,680 Speaker 1: still higher than it should be, and you know, everything 272 00:16:49,680 --> 00:16:54,360 Speaker 1: from gasoline prices to a war going on in Ukraine. 273 00:16:54,440 --> 00:16:57,360 Speaker 1: I mean, so I can't think of a time when 274 00:16:57,400 --> 00:17:00,920 Speaker 1: there's been a greater uncertainty. Not the fact we're created 275 00:17:00,960 --> 00:17:03,400 Speaker 1: an eight hundred thousand manufacturing job. We're better off than 276 00:17:03,480 --> 00:17:06,800 Speaker 1: versually any other major nation in the world economically, But 277 00:17:07,240 --> 00:17:11,600 Speaker 1: it's understandable why people are just down. I love it 278 00:17:11,640 --> 00:17:15,440 Speaker 1: when the politicians trump everybody does this. I created these jobs. 279 00:17:15,840 --> 00:17:19,120 Speaker 1: Manufacturing jobs. We created them. Get out of did create 280 00:17:19,280 --> 00:17:21,320 Speaker 1: jobs come and go because of the private economy and 281 00:17:21,359 --> 00:17:23,440 Speaker 1: the way it flows. Get out of here with your 282 00:17:23,520 --> 00:17:27,640 Speaker 1: we created jobs. But beyond that, this is typical that 283 00:17:27,720 --> 00:17:31,560 Speaker 1: you know, when there's economic news which is unsettling, Now 284 00:17:31,600 --> 00:17:34,520 Speaker 1: we're gonna blame the media. Oh right, you guys focus 285 00:17:34,560 --> 00:17:37,719 Speaker 1: on the negative, right, right? The media is biased against 286 00:17:37,720 --> 00:17:43,000 Speaker 1: Biden's economy. Or that's famously something that Nixon even used 287 00:17:43,080 --> 00:17:46,000 Speaker 1: years ago. What are acting the bobs of negativity called 288 00:17:46,359 --> 00:17:49,800 Speaker 1: Spiro Agne? It was Spiro agnew right. I always remember 289 00:17:49,840 --> 00:17:54,600 Speaker 1: that line, the bobs of the negativity nattering Ever meet him? 290 00:17:54,640 --> 00:17:58,160 Speaker 1: The bob? No, they all do. When I'm reading about 291 00:17:58,160 --> 00:18:01,400 Speaker 1: the presidents. Clinton hated the media. Obama thought the media 292 00:18:01,440 --> 00:18:04,359 Speaker 1: was unfair to him. You know, obviously Trump did that. 293 00:18:04,680 --> 00:18:08,800 Speaker 1: They all complain about the media, and there's a lot 294 00:18:08,840 --> 00:18:13,679 Speaker 1: to complain about. However, the rate of inflation exceeds the 295 00:18:13,760 --> 00:18:17,600 Speaker 1: rate of people's salary increases. You know, if the inflation 296 00:18:17,680 --> 00:18:19,800 Speaker 1: rate is going up seven percent but your salary is 297 00:18:19,800 --> 00:18:23,560 Speaker 1: only going up five percent, well then you're losing. And 298 00:18:23,680 --> 00:18:27,680 Speaker 1: if you're living week to week, that that makes a difference. 299 00:18:27,680 --> 00:18:31,320 Speaker 1: That's something you notice and you start going out lest 300 00:18:31,359 --> 00:18:33,239 Speaker 1: maybe you don't go to a movie, you don't go 301 00:18:33,280 --> 00:18:35,639 Speaker 1: out to dinner on Friday night. But if that was true, 302 00:18:36,160 --> 00:18:38,800 Speaker 1: that come inflation is still going up. It indicates people 303 00:18:38,840 --> 00:18:41,600 Speaker 1: are still spending somehow. They're just going into debt, as 304 00:18:41,640 --> 00:18:44,679 Speaker 1: he said, yeah, they're going from what I from what 305 00:18:44,760 --> 00:18:48,640 Speaker 1: I've read, the credit card debt is going fast upwards. 306 00:18:49,160 --> 00:18:56,200 Speaker 1: Now people don't people, I think, yeah, I think Americans. Yeah, 307 00:18:56,240 --> 00:18:58,520 Speaker 1: they felt like, oh my god, I suffered so much 308 00:18:58,600 --> 00:19:01,320 Speaker 1: during the pandemic, the lockdowns, the end of it, and 309 00:19:01,400 --> 00:19:06,440 Speaker 1: now they're just going nuts. American culture is weird. If 310 00:19:06,440 --> 00:19:11,120 Speaker 1: you travel to other countries, you don't have this frenzy 311 00:19:11,200 --> 00:19:15,960 Speaker 1: to buy things. Right, there's something that and and I'm 312 00:19:16,240 --> 00:19:20,280 Speaker 1: I'm realizing it now, you know, to what extent, you know, 313 00:19:20,480 --> 00:19:25,080 Speaker 1: our family got caught up in buying things or having things, 314 00:19:25,600 --> 00:19:29,600 Speaker 1: doing certain things. You know, because the people around you, 315 00:19:29,840 --> 00:19:32,520 Speaker 1: or people in the neighborhood or just a place you 316 00:19:32,600 --> 00:19:35,560 Speaker 1: wanted to be in life. It's a very powerful force. 317 00:19:37,119 --> 00:19:39,520 Speaker 1: As as resistant, you know, as you want to be, 318 00:19:39,720 --> 00:19:42,879 Speaker 1: as you try to be, you do get swept up 319 00:19:42,880 --> 00:19:47,080 Speaker 1: into in it. Right, And and I do think for 320 00:19:47,359 --> 00:19:50,960 Speaker 1: people in the middle class because so much about the 321 00:19:51,000 --> 00:19:53,640 Speaker 1: wealthy is now broadcast twenty four seven, there's so much 322 00:19:53,640 --> 00:19:56,960 Speaker 1: on social media, there's so much of what the wealthy 323 00:19:57,080 --> 00:20:01,080 Speaker 1: have that it makes a lot of people a little crazy. 324 00:20:01,119 --> 00:20:04,440 Speaker 1: And it's unconscious. It's not like they're sitting home outwardly 325 00:20:04,480 --> 00:20:06,320 Speaker 1: moaning about it. But yeah, you know why, don't want 326 00:20:06,320 --> 00:20:07,960 Speaker 1: to get my share? It's my turn to have a 327 00:20:07,960 --> 00:20:10,879 Speaker 1: good time. I want some of that. And you just 328 00:20:10,920 --> 00:20:13,840 Speaker 1: throw another thousand bucks on the credit card and after 329 00:20:13,840 --> 00:20:16,480 Speaker 1: a while, what does it matter. It wasn't that long 330 00:20:16,520 --> 00:20:18,919 Speaker 1: ago that I was reading people were saving more than 331 00:20:18,960 --> 00:20:21,520 Speaker 1: they had, but that was during the pandemics. During the pandemic. Yeah, 332 00:20:21,720 --> 00:20:23,720 Speaker 1: they could still buy things online, but they weren't going 333 00:20:23,760 --> 00:20:26,800 Speaker 1: out to really spend money. Yeah they couldn't. All right, 334 00:20:26,880 --> 00:20:29,320 Speaker 1: we got more coming up now, important that you hear 335 00:20:29,320 --> 00:20:32,920 Speaker 1: what's coming next. The Atlantic magazine did a story called 336 00:20:32,960 --> 00:20:37,760 Speaker 1: the Inconvenient Truth about electric vehicles. We also have a 337 00:20:37,800 --> 00:20:43,159 Speaker 1: story out of Norway concerning electric vehicles in cold weather, 338 00:20:43,800 --> 00:20:46,639 Speaker 1: which most of the time is in a big story 339 00:20:46,680 --> 00:20:49,600 Speaker 1: here in California. But certainly when you talk about sales 340 00:20:49,640 --> 00:20:53,159 Speaker 1: around the country would have an impact. Johnny kenkf I 341 00:20:53,240 --> 00:20:56,199 Speaker 1: AM six forty live everywhere the iHeartRadio app. Yes, and 342 00:20:56,240 --> 00:20:59,600 Speaker 1: we're forever on that app with the John and Ken podcast. Right. 343 00:21:00,000 --> 00:21:03,000 Speaker 1: You can download it there at the iHeartRadio app erkfi 344 00:21:03,119 --> 00:21:06,359 Speaker 1: AM six forty dot com. Not long after we finished 345 00:21:06,359 --> 00:21:09,800 Speaker 1: the show Monday through Friday after four, you get the 346 00:21:09,840 --> 00:21:11,920 Speaker 1: hours posted up so you can catch up that way. 347 00:21:13,400 --> 00:21:16,800 Speaker 1: We're going to spend a few minutes now on electric vehicles. 348 00:21:17,440 --> 00:21:20,000 Speaker 1: Of course, it'll be a short twelve years before we 349 00:21:20,040 --> 00:21:22,000 Speaker 1: have that California mandate that if you want to buy 350 00:21:22,000 --> 00:21:25,480 Speaker 1: a new car, it's going to have to be zero emissions. 351 00:21:25,520 --> 00:21:27,840 Speaker 1: That is going to be the rule in the state 352 00:21:27,880 --> 00:21:32,760 Speaker 1: of California. More and more media outlets are writing about 353 00:21:32,920 --> 00:21:36,440 Speaker 1: some of the definite drawbacks to EV's Atlantic story is 354 00:21:36,480 --> 00:21:43,320 Speaker 1: the inconvenient truth about electric vehicles. Sort of like when 355 00:21:43,400 --> 00:21:45,600 Speaker 1: you buy a car, remember years ago, there might be 356 00:21:45,640 --> 00:21:48,280 Speaker 1: a sticker on the side to tell you just how 357 00:21:48,320 --> 00:21:52,600 Speaker 1: many miles per gallon you could expect city driving versus 358 00:21:52,680 --> 00:21:58,520 Speaker 1: you know, or rather highways, local driving versus highway miles. Right, 359 00:21:59,520 --> 00:22:03,320 Speaker 1: this story is basically about the limitations of the range 360 00:22:04,320 --> 00:22:10,920 Speaker 1: in electric vehicles. It talks about how if you want 361 00:22:11,040 --> 00:22:13,920 Speaker 1: that higher end range you're going to have to pay 362 00:22:13,960 --> 00:22:18,800 Speaker 1: for it. A new Ford F one fifty Lightning, which 363 00:22:18,840 --> 00:22:21,560 Speaker 1: is an electric version of their best selling vehicle. People 364 00:22:21,800 --> 00:22:24,160 Speaker 1: love the Ford f one fifty. It's very big John 365 00:22:24,160 --> 00:22:25,679 Speaker 1: in the middle of the country. I don't know if 366 00:22:25,680 --> 00:22:29,520 Speaker 1: you know anybody that has one, but it's effect. It's 367 00:22:29,520 --> 00:22:33,080 Speaker 1: been the number one car. Yep, the F one fifty. 368 00:22:33,440 --> 00:22:37,879 Speaker 1: That's a nice pickup truck. Anyway. It starts at fifty 369 00:22:37,880 --> 00:22:43,120 Speaker 1: five thousand in its most basic form, which is fairly expensive. However, 370 00:22:44,000 --> 00:22:47,199 Speaker 1: if you want the extended range battery, which moves you 371 00:22:47,240 --> 00:22:49,240 Speaker 1: from two hundred and thirty miles on a charge to 372 00:22:49,400 --> 00:22:55,040 Speaker 1: three twenty, the cost rises to at least eighty thousand dollars. 373 00:22:56,480 --> 00:22:58,560 Speaker 1: The author of this article says that holds true with 374 00:22:59,040 --> 00:23:02,320 Speaker 1: other brands like Sla, Rivian and Lucid. Now, if you 375 00:23:02,400 --> 00:23:04,440 Speaker 1: really want the bigger battery option, you're gonna have to 376 00:23:04,480 --> 00:23:06,920 Speaker 1: pay a lot more to get it. And then there's 377 00:23:06,920 --> 00:23:11,439 Speaker 1: a problem with the range itself. They don't want you 378 00:23:11,520 --> 00:23:13,919 Speaker 1: to charge the car to its full range. You're not 379 00:23:13,920 --> 00:23:16,080 Speaker 1: supposed to do that. No, no, no, no, no, that's 380 00:23:16,080 --> 00:23:20,480 Speaker 1: not good. They discourage drivers from regularly exceeding ninety percent 381 00:23:20,840 --> 00:23:23,199 Speaker 1: and that's even on a Tesla. They don't want. You 382 00:23:23,520 --> 00:23:25,280 Speaker 1: want tesla as well. And by the way, just to 383 00:23:25,280 --> 00:23:26,840 Speaker 1: go back to that N F one fifty a second, 384 00:23:27,080 --> 00:23:31,000 Speaker 1: if you get the eighty thousand dollars F one fifty, 385 00:23:31,119 --> 00:23:34,040 Speaker 1: that gets you three hundred and twenty miles. That's like 386 00:23:34,160 --> 00:23:38,520 Speaker 1: having a twenty gallon gas tank. It gets sixteen miles 387 00:23:38,560 --> 00:23:42,560 Speaker 1: to the gallon m Yeah, that would be three twenty right, right, 388 00:23:42,760 --> 00:23:47,359 Speaker 1: So that's that's not much of a range, and that's 389 00:23:47,359 --> 00:23:54,480 Speaker 1: not much of a deal. No, no, And actually he writes, 390 00:23:54,520 --> 00:23:56,679 Speaker 1: no one spends an extra five thousand dollars to get 391 00:23:56,720 --> 00:24:00,320 Speaker 1: a bigger gas tank on a Honda Civic. But with 392 00:24:00,400 --> 00:24:03,359 Speaker 1: an ev economic status is suddenly more connected to how 393 00:24:03,440 --> 00:24:04,840 Speaker 1: much of the world you get to see and how 394 00:24:04,880 --> 00:24:06,879 Speaker 1: stressed out or annoid you'll feel along the way, because 395 00:24:07,040 --> 00:24:10,080 Speaker 1: even though as you mentioned, three twenty is not a 396 00:24:10,119 --> 00:24:13,520 Speaker 1: lot compared to the old gas tank, it's a lot 397 00:24:13,520 --> 00:24:16,879 Speaker 1: better than get in two forty, which is the basic 398 00:24:16,960 --> 00:24:18,640 Speaker 1: version is all. They're going to get about two forty 399 00:24:18,640 --> 00:24:22,520 Speaker 1: seven miles on a charge. So that's the choices you're 400 00:24:22,520 --> 00:24:24,840 Speaker 1: going to have to make. And then the other part 401 00:24:24,880 --> 00:24:27,879 Speaker 1: of this is, yep, you won't get the kind of 402 00:24:27,960 --> 00:24:30,280 Speaker 1: range you think because it depends on the conditions you're 403 00:24:30,359 --> 00:24:33,399 Speaker 1: driving in, which is true too for gas powery cars, 404 00:24:33,680 --> 00:24:37,240 Speaker 1: but I think it holds even more so for electric 405 00:24:37,320 --> 00:24:41,560 Speaker 1: vehicles in terms of using the air conditioning or as 406 00:24:41,560 --> 00:24:44,360 Speaker 1: we're talking about here as a story out of Norway, 407 00:24:44,480 --> 00:24:46,919 Speaker 1: and there was a story out of Michigan too that 408 00:24:47,080 --> 00:24:51,359 Speaker 1: in cold weather, ah, these batteries use a lot of 409 00:24:51,480 --> 00:24:56,240 Speaker 1: charge in order to operate because of the conditions, so 410 00:24:56,400 --> 00:24:59,840 Speaker 1: you may see a much less I think one guy 411 00:25:00,320 --> 00:25:03,520 Speaker 1: he only got fifty percent of the range that he 412 00:25:03,600 --> 00:25:05,920 Speaker 1: charged it up to because he had to drive and 413 00:25:06,119 --> 00:25:12,920 Speaker 1: snowy cold conditions. The cold really screws with your mileage, right. 414 00:25:14,400 --> 00:25:17,760 Speaker 1: This guy who wrote the story said he took a 415 00:25:17,760 --> 00:25:21,680 Speaker 1: trip from Death Valley National Park. He was going to 416 00:25:21,760 --> 00:25:23,919 Speaker 1: drive one hundred and fifty miles across the desert. He 417 00:25:23,960 --> 00:25:29,200 Speaker 1: had a Model three Tesla standard range and the good 418 00:25:29,200 --> 00:25:30,679 Speaker 1: thing about Tesla that they do tell you on the 419 00:25:30,680 --> 00:25:32,920 Speaker 1: map where your next supercharger is, right, So it was 420 00:25:32,920 --> 00:25:35,240 Speaker 1: one hundred fifty miles from one supercharger to the next. 421 00:25:35,560 --> 00:25:38,960 Speaker 1: But as his car went up and down the hill, 422 00:25:39,920 --> 00:25:43,080 Speaker 1: it's estimate for how the battery how much battery charge 423 00:25:43,119 --> 00:25:46,600 Speaker 1: would be left started to slip. He had a comfortable cushion, 424 00:25:46,880 --> 00:25:50,040 Speaker 1: and then he said it was troublingly low. He locked 425 00:25:50,080 --> 00:25:52,879 Speaker 1: the cruise control at the speed limit or just below 426 00:25:53,200 --> 00:25:56,119 Speaker 1: so he wouldn't cost himself any miles with a lead foot. 427 00:25:56,840 --> 00:26:00,200 Speaker 1: And then two sets of headlights closed in behind me 428 00:26:00,400 --> 00:26:04,160 Speaker 1: whizzed by. They were testless, but he could tell they 429 00:26:04,200 --> 00:26:07,760 Speaker 1: had paid five to ten thousand dollars more for a 430 00:26:07,840 --> 00:26:10,920 Speaker 1: longer range version of the car, a version called a 431 00:26:11,000 --> 00:26:13,600 Speaker 1: dual motory. Right, that's something that they make, right, Right, 432 00:26:13,680 --> 00:26:16,960 Speaker 1: So if you get the ordinary Tesla, you're on a 433 00:26:17,000 --> 00:26:20,280 Speaker 1: strict diet, you have to pay the extra ten grand 434 00:26:20,359 --> 00:26:23,600 Speaker 1: to have had more ease. You can't drive as fast 435 00:26:23,640 --> 00:26:29,840 Speaker 1: as you want, right, And then and then the cold 436 00:26:29,840 --> 00:26:35,199 Speaker 1: weather story. Oh yeah, that's the one from While there 437 00:26:35,280 --> 00:26:38,080 Speaker 1: was two, there's one from Norway from the Globen Mail 438 00:26:38,160 --> 00:26:41,240 Speaker 1: in Northern Norway's bitter cold, the audurability of electric vehicles 439 00:26:41,320 --> 00:26:42,680 Speaker 1: is put to the test. It was also a pretty 440 00:26:42,680 --> 00:26:46,480 Speaker 1: good story from the state of Michigan with the same thing. 441 00:26:46,600 --> 00:26:49,520 Speaker 1: Some guy who writes about the cars in Detroit said 442 00:26:49,560 --> 00:26:52,719 Speaker 1: the same thing. He's finding that operating an electric vehicle 443 00:26:53,080 --> 00:27:02,840 Speaker 1: in these colder conditions really severely restricts the range, so 444 00:27:02,920 --> 00:27:06,000 Speaker 1: it's not practical for a lot of people. I mean, 445 00:27:06,040 --> 00:27:09,600 Speaker 1: I mean much of the country has had some bitterly 446 00:27:09,600 --> 00:27:13,280 Speaker 1: cold periods. The one thing that a car buys you 447 00:27:13,359 --> 00:27:17,199 Speaker 1: if you keep it gassed up, is tremendous freedom to 448 00:27:17,280 --> 00:27:19,040 Speaker 1: go about your day, to go about your life, to 449 00:27:19,080 --> 00:27:22,719 Speaker 1: go on a trip, to do what you want. And 450 00:27:23,119 --> 00:27:27,240 Speaker 1: amidst all this successive hype about the wonder of electric cars, 451 00:27:27,760 --> 00:27:31,160 Speaker 1: what they don't talk about, but it's clearly true, it 452 00:27:31,320 --> 00:27:36,520 Speaker 1: is going to constrict your freedom. And like everything else 453 00:27:36,560 --> 00:27:40,600 Speaker 1: the progressives do, little by little the truth comes out. 454 00:27:41,080 --> 00:27:44,720 Speaker 1: It's a drip, drip drip situation. For example, this year 455 00:27:44,760 --> 00:27:49,359 Speaker 1: we learned that they only want you to charge after 456 00:27:49,480 --> 00:27:52,040 Speaker 1: nine o'clock at night, after you come home from work 457 00:27:52,680 --> 00:27:58,040 Speaker 1: four to nine o'clock. No, no go, no charge. Well 458 00:27:58,359 --> 00:28:00,679 Speaker 1: that may not be a convenient. What are you supposed 459 00:28:00,720 --> 00:28:04,320 Speaker 1: to do. You don't have to worry about that. There's 460 00:28:04,320 --> 00:28:07,240 Speaker 1: gasoline stations open up twenty four hours a day, right. 461 00:28:07,480 --> 00:28:11,119 Speaker 1: But now now i'm there's going to be restrictions and 462 00:28:11,200 --> 00:28:14,320 Speaker 1: eventually you wait and see, they're going to monitor how 463 00:28:14,400 --> 00:28:18,960 Speaker 1: much electricity you're using during peak times, and if they 464 00:28:19,080 --> 00:28:23,320 Speaker 1: detect that you're using too much, they will Eventually it 465 00:28:23,359 --> 00:28:26,359 Speaker 1: will all be done remotely on the internet. That is 466 00:28:26,400 --> 00:28:30,080 Speaker 1: what they're headed towards, is that they will restrict the 467 00:28:30,119 --> 00:28:34,000 Speaker 1: electricity flow to your house. And they make this may 468 00:28:34,000 --> 00:28:38,080 Speaker 1: sound crazy, no alarmist, but trust me, don't give an 469 00:28:38,120 --> 00:28:41,120 Speaker 1: inch on this because every year, little by little, but 470 00:28:41,240 --> 00:28:46,520 Speaker 1: little by little, they're they're gonna coerce you into playing ball. 471 00:28:47,200 --> 00:28:49,800 Speaker 1: I saw an editorial today on the Wall Street Journal. 472 00:28:50,400 --> 00:28:53,400 Speaker 1: They were citing an interview with one of the operators 473 00:28:53,400 --> 00:28:58,240 Speaker 1: of the big electricity Grits who says that our projections 474 00:28:58,280 --> 00:29:02,200 Speaker 1: show as we continue to move away from fossil fuels 475 00:29:02,240 --> 00:29:05,400 Speaker 1: and towards all electric with regards everything you heard the 476 00:29:05,400 --> 00:29:08,040 Speaker 1: stupid thing about stoves. They don't want natural gas anymore, 477 00:29:08,040 --> 00:29:09,440 Speaker 1: and of course they don't want to use a gasoline 478 00:29:09,440 --> 00:29:13,080 Speaker 1: powered car. They don't think the grid is going to 479 00:29:13,120 --> 00:29:16,840 Speaker 1: have the strength to keep up with it at the 480 00:29:16,880 --> 00:29:19,440 Speaker 1: pace that they're trying to do this. Because what we're 481 00:29:19,480 --> 00:29:22,120 Speaker 1: stuck in this situation now where every day another report 482 00:29:22,160 --> 00:29:28,000 Speaker 1: comes out about the rapid increase in climate change effects. 483 00:29:28,400 --> 00:29:32,120 Speaker 1: These characters go nuts trying to push everything faster, which 484 00:29:32,160 --> 00:29:37,160 Speaker 1: is cutting back on fossil fuels and moving towards oh electricity, 485 00:29:37,240 --> 00:29:39,480 Speaker 1: and there's not going to be the grid for this 486 00:29:39,840 --> 00:29:43,120 Speaker 1: at least that's what this particular grid operator says. And 487 00:29:43,200 --> 00:29:45,760 Speaker 1: they know this, and eventually they're going to come to 488 00:29:45,800 --> 00:29:49,400 Speaker 1: a point where they've made natural gas, gasoline electricity so 489 00:29:49,480 --> 00:29:52,520 Speaker 1: expensive that we're just going to have to live in 490 00:29:52,520 --> 00:29:57,640 Speaker 1: a reduced state. That is the plan is you'll live 491 00:29:57,680 --> 00:30:01,360 Speaker 1: in a reduced state because they say so. That takes 492 00:30:01,360 --> 00:30:06,200 Speaker 1: away your freedom and puts you under their control because 493 00:30:06,240 --> 00:30:09,840 Speaker 1: they've created system. Now we're all fuel is too expensive, 494 00:30:10,520 --> 00:30:13,360 Speaker 1: and they justify it by saying we're saving the planet. 495 00:30:14,200 --> 00:30:17,840 Speaker 1: That's the cover story. The real story is they want control. 496 00:30:18,360 --> 00:30:21,840 Speaker 1: This global warming thing was just beautiful for them to 497 00:30:22,000 --> 00:30:26,200 Speaker 1: use to make people feel guilty. They make you feel 498 00:30:26,240 --> 00:30:29,400 Speaker 1: guilty about the freedom you have in your life and 499 00:30:29,480 --> 00:30:32,360 Speaker 1: about what you spend your money on and the convenience 500 00:30:32,400 --> 00:30:38,160 Speaker 1: that you have and what you enjoy. Yep, all right, 501 00:30:38,240 --> 00:30:41,479 Speaker 1: we got more coming up, John and Ken kf I 502 00:30:41,520 --> 00:30:45,400 Speaker 1: am six forty We're live everywhere on the iHeartRadio app 503 00:30:45,520 --> 00:30:49,360 Speaker 1: coming up after three o'clock. Wow, you know you can't 504 00:30:49,400 --> 00:30:52,400 Speaker 1: say we don't do follow up. This story takes us 505 00:30:52,440 --> 00:30:56,000 Speaker 1: back a couple of years. Our guests would be Wendy Ludwick. 506 00:30:56,840 --> 00:30:59,680 Speaker 1: Many of our listeners did participate in a fundraiser for 507 00:30:59,720 --> 00:31:04,600 Speaker 1: her little son, Gavin. He was attacked. He was just 508 00:31:04,720 --> 00:31:08,960 Speaker 1: coming home from swimming at a neighbor's house and a 509 00:31:09,080 --> 00:31:12,360 Speaker 1: thirty two year old man beat on him, picked up 510 00:31:12,360 --> 00:31:16,960 Speaker 1: a large rock, grabbed Gavin and slammed him into the 511 00:31:17,040 --> 00:31:19,280 Speaker 1: right side of his head. He slammed the rock into 512 00:31:19,320 --> 00:31:25,480 Speaker 1: the Gavin's head unprovoked. This was just obviously when you'll 513 00:31:25,520 --> 00:31:28,840 Speaker 1: see a mentally deranged person who came out of nowhere 514 00:31:28,840 --> 00:31:31,320 Speaker 1: and attack Gavin. They had no connection to each other. 515 00:31:31,440 --> 00:31:35,480 Speaker 1: This was random, just really tough day for a little boy. 516 00:31:36,920 --> 00:31:40,840 Speaker 1: He had severe injuries. The good news is he's much better. 517 00:31:41,080 --> 00:31:43,800 Speaker 1: This happened I think twenty twenty, wasn't it, John, I 518 00:31:43,800 --> 00:31:48,640 Speaker 1: think it was during the pandemic. Anyway, Coming up after 519 00:31:48,720 --> 00:31:52,480 Speaker 1: three o'clock, Wendy's coming back on the show not only 520 00:31:52,520 --> 00:31:56,360 Speaker 1: give us an update on Gavin's health and many of you, 521 00:31:56,400 --> 00:31:57,960 Speaker 1: as I mentioned, were part of the go fund me 522 00:31:58,040 --> 00:32:00,520 Speaker 1: which raised a lot of money for you on Gavin, 523 00:32:00,600 --> 00:32:04,240 Speaker 1: but to give us an update on the attacker who 524 00:32:04,240 --> 00:32:08,560 Speaker 1: apparently has done this before and slides through the justice 525 00:32:08,600 --> 00:32:13,160 Speaker 1: system by being sent to a mental hospital, and then, 526 00:32:13,200 --> 00:32:16,240 Speaker 1: of course the brilliant people there declare him hell always fine, 527 00:32:16,880 --> 00:32:19,840 Speaker 1: he's cured, put him back out in the world. And 528 00:32:20,200 --> 00:32:23,920 Speaker 1: you know he attacked Gavin. He has attacked people before. 529 00:32:24,880 --> 00:32:28,720 Speaker 1: So the family was hoping for prison time and long 530 00:32:28,840 --> 00:32:32,320 Speaker 1: prison time for somebody who does this to what was 531 00:32:32,360 --> 00:32:35,920 Speaker 1: then a seven year old boy. So we'll get the 532 00:32:36,000 --> 00:32:41,720 Speaker 1: update from Wendy, Gavin's mother coming up after the news 533 00:32:42,480 --> 00:32:45,600 Speaker 1: at three o'clock. Well, I have to ask this question, John, 534 00:32:45,640 --> 00:32:47,800 Speaker 1: because you kind of follow this even though you find 535 00:32:47,800 --> 00:32:52,960 Speaker 1: it comical. Is there anybody left working at Twitter? Twitter 536 00:32:53,240 --> 00:32:57,560 Speaker 1: had seven thousand, five hundred employees when Elon Musks took 537 00:32:57,600 --> 00:33:01,800 Speaker 1: over in October seven thousand, five hundred. There are now 538 00:33:01,880 --> 00:33:04,760 Speaker 1: less than two thousand people working there and Twitter still runs. 539 00:33:05,800 --> 00:33:07,840 Speaker 1: That's what I was going to ask you. Yeah, has 540 00:33:07,880 --> 00:33:11,320 Speaker 1: there been any major outages or problems complaining, Not that 541 00:33:11,360 --> 00:33:16,520 Speaker 1: I'm aware of. No. I find it really fascinating. I 542 00:33:16,560 --> 00:33:19,760 Speaker 1: have not seen a single story where someone says, you know, 543 00:33:20,200 --> 00:33:22,280 Speaker 1: I can't post on Twitter. It seems to be down 544 00:33:22,720 --> 00:33:27,080 Speaker 1: you know, eight hours a day. I just haven't seen it. 545 00:33:28,080 --> 00:33:29,719 Speaker 1: I don't know what, you know what I think. I 546 00:33:29,760 --> 00:33:32,400 Speaker 1: think they actually had a lot of employees who were 547 00:33:32,440 --> 00:33:37,640 Speaker 1: there censoring all the posts that they found politically disagreeable. 548 00:33:38,280 --> 00:33:40,280 Speaker 1: I think that I was gonna say, what were all 549 00:33:40,280 --> 00:33:42,800 Speaker 1: these people doing? If you can cut back, what was it? 550 00:33:42,840 --> 00:33:45,760 Speaker 1: Two thirds of them here? Well, I ran a fair 551 00:33:45,880 --> 00:33:49,520 Speaker 1: number of the Twitter files that were dumped by those journalists. 552 00:33:50,240 --> 00:33:55,480 Speaker 1: Elon Musk had all the internal memos released, and a 553 00:33:55,520 --> 00:34:01,240 Speaker 1: group of journalists including Michael shellenbur Michael Schellenberger, that's right, 554 00:34:01,720 --> 00:34:04,920 Speaker 1: Matt Taiebe, who I've met read for three years. And 555 00:34:05,120 --> 00:34:08,719 Speaker 1: it looks like this was a huge operation. This may 556 00:34:08,719 --> 00:34:11,680 Speaker 1: have been the single largest operation within Twitter other than 557 00:34:12,120 --> 00:34:14,880 Speaker 1: keeping the general service running, because it took a lot 558 00:34:14,920 --> 00:34:17,120 Speaker 1: of work to come through all these and then decide 559 00:34:17,200 --> 00:34:19,600 Speaker 1: does it stay, does it go? Does it get a 560 00:34:19,680 --> 00:34:22,240 Speaker 1: warning sticker on it? And there's a lot of political 561 00:34:22,400 --> 00:34:26,800 Speaker 1: political issues that became taboo. And what about the terrorists 562 00:34:27,360 --> 00:34:31,080 Speaker 1: although they were using other platforms. The terrorists are allowed 563 00:34:31,080 --> 00:34:34,000 Speaker 1: full rain on all social media sites at all times. 564 00:34:34,440 --> 00:34:40,719 Speaker 1: You get a special terrorist exemption, special recruitment. Well, it 565 00:34:40,760 --> 00:34:44,240 Speaker 1: says here in the New York Times. The latest round 566 00:34:44,280 --> 00:34:48,919 Speaker 1: of cuts hit product managers, data scientists, and engineers who 567 00:34:48,920 --> 00:34:53,439 Speaker 1: work on machine learning and site reliability, which supposedly keeps 568 00:34:53,440 --> 00:34:58,480 Speaker 1: Twitter as various features online. So but you're telling me 569 00:34:58,560 --> 00:35:00,800 Speaker 1: that I haven't heard of any big es or problems, 570 00:35:00,800 --> 00:35:04,640 Speaker 1: which I mean unless they dropping off by droves too, 571 00:35:04,680 --> 00:35:07,800 Speaker 1: because they're angry that he alone must took over our people. No, 572 00:35:07,960 --> 00:35:11,239 Speaker 1: they they've had problem with advertising because you know, some 573 00:35:11,280 --> 00:35:17,200 Speaker 1: of the progressive advertising dropped executives. They yeah, they're claiming, well, 574 00:35:17,760 --> 00:35:19,840 Speaker 1: you know, there's a lot of objectionable material and we 575 00:35:19,920 --> 00:35:24,040 Speaker 1: just don't want our ads alongside these posts. Right, So 576 00:35:24,280 --> 00:35:27,840 Speaker 1: there's been a lot of that's he's got less revenue, 577 00:35:27,840 --> 00:35:30,080 Speaker 1: which is all the more reason he's got to cut bodies. 578 00:35:30,760 --> 00:35:34,719 Speaker 1: But the day to day operation, the mechanical operation of 579 00:35:35,120 --> 00:35:38,399 Speaker 1: posting and people getting your post. I have not read 580 00:35:38,440 --> 00:35:42,600 Speaker 1: anything that it's been compromised, and I know the media 581 00:35:42,640 --> 00:35:44,960 Speaker 1: would jump all over it because they all want him 582 00:35:44,960 --> 00:35:48,240 Speaker 1: to fail. Now, you know, he's replaced Trump as public 583 00:35:48,480 --> 00:35:51,359 Speaker 1: enemy number one. And this wasn't just about getting rid 584 00:35:51,400 --> 00:35:54,480 Speaker 1: of the woke people. He also wants to turn a 585 00:35:54,520 --> 00:35:57,319 Speaker 1: profit on Twitter, and he probably looked around and said, 586 00:35:57,320 --> 00:36:00,439 Speaker 1: do we really need seven thousand, five hundred people work here? 587 00:36:00,600 --> 00:36:05,480 Speaker 1: I saw two things this week. There. I saw that Facebook. 588 00:36:05,840 --> 00:36:08,720 Speaker 1: The media salary of Facebook was four hundred thousand dollars 589 00:36:08,960 --> 00:36:13,040 Speaker 1: medium What yes, three hundred ninety eight thousand to be exact, 590 00:36:15,239 --> 00:36:21,000 Speaker 1: to do what good question? But what did all these 591 00:36:21,040 --> 00:36:25,359 Speaker 1: thousands do with Twitter? What did they all do? They 592 00:36:25,400 --> 00:36:28,840 Speaker 1: all have like vague titles to a product manager, data scientist. 593 00:36:29,239 --> 00:36:32,279 Speaker 1: I'm a data scientist today Facebook. Then the third thing 594 00:36:32,320 --> 00:36:35,680 Speaker 1: I just read was a guy there's some kind of 595 00:36:35,719 --> 00:36:39,640 Speaker 1: social media app called blind and it's where workers could 596 00:36:39,640 --> 00:36:42,960 Speaker 1: bitch about their companies and bosses without being identified. And 597 00:36:43,120 --> 00:36:48,640 Speaker 1: this guy claims that he's a Tier one middle manager, 598 00:36:49,400 --> 00:36:54,560 Speaker 1: Tier one being the lowest ranking, and at Facebook, another 599 00:36:54,640 --> 00:36:57,640 Speaker 1: round of layoffs are coming and he fears that his 600 00:36:57,800 --> 00:37:01,759 Speaker 1: tier is going to be chopped and that he is 601 00:37:01,800 --> 00:37:09,240 Speaker 1: going to lose his five hundred fifty thousand dollars salary. Again, 602 00:37:09,600 --> 00:37:12,520 Speaker 1: he's in the lowest level ranking. God knows how many 603 00:37:12,719 --> 00:37:16,120 Speaker 1: Tier one middle managers there are, and he's pissed about 604 00:37:16,160 --> 00:37:23,439 Speaker 1: it because he's forty years old, about forty and maybe 605 00:37:23,480 --> 00:37:27,800 Speaker 1: about forty two, and in about three years. In twenty 606 00:37:27,840 --> 00:37:32,680 Speaker 1: twenty six, he figured he'd be promoted to tier two 607 00:37:32,840 --> 00:37:37,000 Speaker 1: and make a million a year, and once he got there, 608 00:37:37,440 --> 00:37:41,160 Speaker 1: he'd be able to shortly retire. He uses an acronym 609 00:37:41,200 --> 00:37:43,759 Speaker 1: called fire, which I wasn't familiar with that to look 610 00:37:43,760 --> 00:37:48,960 Speaker 1: it up, and it's financially independent retire early fire f IR, 611 00:37:50,560 --> 00:37:53,239 Speaker 1: he goes. He goes, I'm a few years away of 612 00:37:53,880 --> 00:37:57,080 Speaker 1: hitting fire in my forties once I get to that 613 00:37:57,200 --> 00:38:00,719 Speaker 1: million dollars a year magic salary. I don't know how 614 00:38:00,719 --> 00:38:03,160 Speaker 1: many years he wants to work beyond that, but not many. 615 00:38:03,480 --> 00:38:05,200 Speaker 1: And now he's out of his mind because he knows 616 00:38:05,200 --> 00:38:07,520 Speaker 1: he's not going to find another mid level job for 617 00:38:07,560 --> 00:38:11,120 Speaker 1: five hundred and fifty thousand dollars a year. And he 618 00:38:11,440 --> 00:38:13,960 Speaker 1: posts this, and of course people start throwing stuff at him, 619 00:38:13,960 --> 00:38:20,959 Speaker 1: like yeah, really, they're just jealous. Yeah, And it's it's 620 00:38:20,960 --> 00:38:23,400 Speaker 1: remarkable the salary, how much money they were making. They 621 00:38:23,400 --> 00:38:26,600 Speaker 1: were making so much money, and they were very competitive, 622 00:38:27,480 --> 00:38:33,120 Speaker 1: Twitter and Facebook, Google all all all these all these 623 00:38:33,200 --> 00:38:37,000 Speaker 1: tech companies, social media companies. They had so much money, 624 00:38:37,040 --> 00:38:39,200 Speaker 1: they were so competitive to get whatever they thought was 625 00:38:39,239 --> 00:38:43,160 Speaker 1: the best. And they also hired like mad during the 626 00:38:43,160 --> 00:38:46,080 Speaker 1: pandemic because so many people were at home using their 627 00:38:46,080 --> 00:38:48,600 Speaker 1: product in ever greater numbers. You could throw Amazon into 628 00:38:48,600 --> 00:38:51,520 Speaker 1: that mix as well too, except the pandemic ended in 629 00:38:51,560 --> 00:38:53,919 Speaker 1: the bubble popped, and then you know there's been enough 630 00:38:53,920 --> 00:38:56,640 Speaker 1: scandals and people are just sick of it. A lot 631 00:38:56,640 --> 00:38:58,719 Speaker 1: of people are sick social media. I could tell just 632 00:38:58,800 --> 00:39:01,440 Speaker 1: looking at my feed. It's like a lot of people stopped. 633 00:39:03,280 --> 00:39:07,080 Speaker 1: So you know, it's it's just I don't think I 634 00:39:07,120 --> 00:39:10,840 Speaker 1: don't think Elon Musks need needed. All those people, well, 635 00:39:11,480 --> 00:39:14,680 Speaker 1: one of them became somewhat famous. Her name is Esther Crawford. 636 00:39:15,320 --> 00:39:18,320 Speaker 1: She was seen wrapped up in a sleeping bag sleeping 637 00:39:18,360 --> 00:39:21,200 Speaker 1: at her Twitter offices, wearing like a little eyes shade 638 00:39:21,200 --> 00:39:23,719 Speaker 1: over her face, and she tweeted out when your team 639 00:39:23,760 --> 00:39:26,960 Speaker 1: is pushing around the clock to make deadline, sometimes hashtag 640 00:39:27,040 --> 00:39:30,239 Speaker 1: sleep where you work. That got Remember that got San 641 00:39:30,280 --> 00:39:32,840 Speaker 1: Francisco officials worked up because they're like, that's not a 642 00:39:32,880 --> 00:39:35,879 Speaker 1: sleeping space, that's an office space. People can't sleep there. 643 00:39:36,000 --> 00:39:39,560 Speaker 1: We'll go into investigate Elon Musk's Twitter. That happened a 644 00:39:39,600 --> 00:39:43,000 Speaker 1: few months ago. Yeah, she got laid off, so yeah, 645 00:39:43,000 --> 00:39:44,960 Speaker 1: well you know she was she was like trying to 646 00:39:44,960 --> 00:39:47,880 Speaker 1: suck up the musk, saying, look at me, look at me. 647 00:39:47,960 --> 00:39:49,960 Speaker 1: I'm so devoted. I'll sleep here on the floor to 648 00:39:50,080 --> 00:39:51,840 Speaker 1: make sure I could get back at work quickly. She 649 00:39:51,960 --> 00:39:54,360 Speaker 1: was part of the old Guard, and he fired a 650 00:39:54,360 --> 00:39:56,799 Speaker 1: lot of the old guard, and she wanted to show no, no, 651 00:39:56,840 --> 00:40:00,759 Speaker 1: I'm with you now I've switched sides. No, I'm all 652 00:40:00,800 --> 00:40:03,120 Speaker 1: for you. And so she's sleeping on the floor. I 653 00:40:03,120 --> 00:40:06,359 Speaker 1: mean she's she's taking a photographer of herself on the 654 00:40:06,400 --> 00:40:09,560 Speaker 1: floor and then posting it. You look like an idiot. 655 00:40:10,120 --> 00:40:14,239 Speaker 1: You imagine you imagine taking a photo of yourself here 656 00:40:14,280 --> 00:40:17,719 Speaker 1: at the radio station in a sleeping bag with an 657 00:40:17,719 --> 00:40:20,760 Speaker 1: eye shade on, and then putting it online so everybody 658 00:40:20,760 --> 00:40:23,439 Speaker 1: could see that you're here working twenty four to seven 659 00:40:23,480 --> 00:40:26,080 Speaker 1: for the good of the station. You'd feel like a moron, 660 00:40:26,120 --> 00:40:29,560 Speaker 1: because you would be a moron. All right, when we return, 661 00:40:29,760 --> 00:40:31,520 Speaker 1: we're going to welcome back to the show. And it's 662 00:40:31,520 --> 00:40:35,960 Speaker 1: been a while. Wendy Ludwick, her little son Gavin, was 663 00:40:36,000 --> 00:40:42,000 Speaker 1: attacked viciously by a violent, evil, crazed man's happening in 664 00:40:42,040 --> 00:40:44,279 Speaker 1: the Inland Empire a couple of years back. He was 665 00:40:44,320 --> 00:40:46,480 Speaker 1: just on his way home from a neighbor's house and 666 00:40:46,560 --> 00:40:49,600 Speaker 1: he was bludgeoned with a rock and left for dead 667 00:40:49,640 --> 00:40:52,759 Speaker 1: in the streets until fortunately a neighbor saw him. He 668 00:40:52,840 --> 00:40:57,080 Speaker 1: was having seizures. Gavin has recovered nicely, but we have 669 00:40:57,120 --> 00:41:00,400 Speaker 1: an update on the attacker to talk about. John and 670 00:41:00,520 --> 00:41:03,239 Speaker 1: Ken KF I am six D forty Live Everywhere the 671 00:41:03,280 --> 00:41:06,759 Speaker 1: iHeartRadio app and Jason Middleton in for Denver Mark Loide 672 00:41:06,800 --> 00:41:08,160 Speaker 1: in the twenty four hour KFIN Newsroom