1 00:00:03,920 --> 00:00:09,440 Speaker 1: It's that time time, time, luck and load. 2 00:00:11,240 --> 00:00:13,880 Speaker 2: So Michael Arry Show is on the air. 3 00:00:32,320 --> 00:00:34,160 Speaker 1: I thought post a couple of days ago from Mary 4 00:00:34,200 --> 00:00:38,279 Speaker 1: Tally Boden, you have to have some people that are 5 00:00:38,280 --> 00:00:41,639 Speaker 1: obsessed over their issue, because most of us are kind 6 00:00:41,640 --> 00:00:45,400 Speaker 1: of generalists. And if somebody's not obsessed over an issue, 7 00:00:46,080 --> 00:00:50,200 Speaker 1: then never move the ball down the field. If Tom 8 00:00:50,240 --> 00:00:54,640 Speaker 1: Brady played every sport, he would have dominated football. Michael Jordan, 9 00:00:55,680 --> 00:01:00,760 Speaker 1: despite a stanton baseball, was focused in the gym on 10 00:01:01,000 --> 00:01:07,040 Speaker 1: improving his jump shot. So when Mary Tally Boden posts 11 00:01:07,040 --> 00:01:11,720 Speaker 1: something about Donald Trump that is praise for Trump on 12 00:01:11,800 --> 00:01:14,319 Speaker 1: the issue of COVID, I take notice because she's a 13 00:01:14,440 --> 00:01:19,200 Speaker 1: very harsh critic. The president came into the White House 14 00:01:20,920 --> 00:01:24,680 Speaker 1: and had a very successful first three years January of 15 00:01:24,720 --> 00:01:27,840 Speaker 1: twenty twenty. The economy is booming, things are great. There's 16 00:01:27,920 --> 00:01:31,160 Speaker 1: no chance anybody can beat him. Most people don't remember this, 17 00:01:31,360 --> 00:01:34,600 Speaker 1: but it's not I keep articles, I keep data, I 18 00:01:34,680 --> 00:01:39,160 Speaker 1: keep notes. Most people don't remember. There was no chance 19 00:01:39,240 --> 00:01:41,720 Speaker 1: you were going to beat him. He was insanely popular, 20 00:01:41,880 --> 00:01:45,520 Speaker 1: the economy was doing too well, and then they unleash 21 00:01:45,840 --> 00:01:51,440 Speaker 1: the Wuhan virus. The Chinese flew COVID. What does Trump 22 00:01:51,480 --> 00:01:54,080 Speaker 1: do A couple of months into it, he says, Look, 23 00:01:54,080 --> 00:01:55,680 Speaker 1: we're going to sit around and wallow in the sadness. 24 00:01:55,720 --> 00:01:57,840 Speaker 1: We're going to do something about this. We're going to 25 00:01:57,880 --> 00:02:01,360 Speaker 1: fix it. We're going to innovate, we're gonna invent, we're 26 00:02:01,360 --> 00:02:04,560 Speaker 1: gonna create, We're gonna solve this. So he brought the 27 00:02:04,560 --> 00:02:07,360 Speaker 1: best minds in or who he thought were. He never 28 00:02:07,400 --> 00:02:10,160 Speaker 1: done this before, Operation warp Speed. We're gonna do it. 29 00:02:10,160 --> 00:02:12,600 Speaker 1: We're gonna do it now. This is a guy who 30 00:02:12,600 --> 00:02:14,959 Speaker 1: came into public projects in Houston, I mean in Houston, 31 00:02:14,960 --> 00:02:19,440 Speaker 1: in New York where they were years behind, millions of 32 00:02:19,440 --> 00:02:21,200 Speaker 1: dollars behind, and said we're gonna get it done, and 33 00:02:21,240 --> 00:02:24,119 Speaker 1: we're gonna get it done overnight. That's what that's what 34 00:02:24,320 --> 00:02:27,480 Speaker 1: business owners do. They're not nice about it. We're gonna 35 00:02:27,480 --> 00:02:30,520 Speaker 1: crack heads. And if you can't get this done, I 36 00:02:30,560 --> 00:02:32,359 Speaker 1: want this part done in a week. It should take 37 00:02:32,400 --> 00:02:35,880 Speaker 1: us a month. Find somebody. You read Elon's book by 38 00:02:36,000 --> 00:02:40,560 Speaker 1: Walter Isaacson. Elon will say I want this rotor to 39 00:02:40,639 --> 00:02:43,799 Speaker 1: be able to run, you know, ten thousand hours continuously 40 00:02:43,840 --> 00:02:46,959 Speaker 1: without a singer, And they, oh, it'll take us. No, No, 41 00:02:47,160 --> 00:02:49,760 Speaker 1: I want it done in sixty days. That's gonna take 42 00:02:49,760 --> 00:02:52,560 Speaker 1: a year. All right, you're out who on the team 43 00:02:52,720 --> 00:02:56,079 Speaker 1: can make it happen? And finally somebody whose ambitious steps 44 00:02:56,080 --> 00:03:00,960 Speaker 1: forward says I'll do it well. Operation warp Speed meant 45 00:03:00,960 --> 00:03:02,840 Speaker 1: that Trump had to trust people who, it turns out 46 00:03:02,840 --> 00:03:09,200 Speaker 1: weren't trustworthy, from Fauchi to Burkes to big pharma. And 47 00:03:09,240 --> 00:03:13,520 Speaker 1: then the quote unquote vaccine came out. Trump never wanted 48 00:03:13,520 --> 00:03:17,200 Speaker 1: it to be mandatory, but the big pharmaceutical companies did, 49 00:03:17,639 --> 00:03:21,359 Speaker 1: and the public health professionals did, and the lefties got 50 00:03:21,360 --> 00:03:23,480 Speaker 1: caught up in it. It's again, remember we talked about Earth. 51 00:03:23,480 --> 00:03:25,240 Speaker 1: They got to have a cause. Well, this is their cause. 52 00:03:25,720 --> 00:03:27,560 Speaker 1: It's global warming. One day, it's you got to get 53 00:03:27,560 --> 00:03:30,200 Speaker 1: the shot next day. And they wanted your life over 54 00:03:30,240 --> 00:03:32,320 Speaker 1: if you didn't take that vaccine. They wanted you to. 55 00:03:32,360 --> 00:03:34,400 Speaker 1: They want everybody to do it. And when they did that, 56 00:03:34,440 --> 00:03:36,960 Speaker 1: we're gonna move to the next thing. Trainees for everybody here, 57 00:03:37,040 --> 00:03:40,880 Speaker 1: you know something. And a lot of people died, including 58 00:03:40,880 --> 00:03:45,200 Speaker 1: my brother, from taking that damn shot. So the President 59 00:03:45,480 --> 00:03:48,600 Speaker 1: is now saying two pharmaceutical companies, which is the first 60 00:03:48,600 --> 00:03:51,920 Speaker 1: time he's really come out and done this publicly in writing, Hey, 61 00:03:51,960 --> 00:03:53,480 Speaker 1: you're gonna have to tell me what you knew and 62 00:03:53,520 --> 00:03:55,320 Speaker 1: when you knew it. You're gonna have to show me 63 00:03:55,360 --> 00:03:59,240 Speaker 1: how you did what you did. So then I'm reading 64 00:03:59,320 --> 00:04:01,280 Speaker 1: comments seeing how people are going to respond to that, 65 00:04:01,320 --> 00:04:03,040 Speaker 1: and I come across this one from a fella I 66 00:04:03,080 --> 00:04:06,840 Speaker 1: don't know his name is. He writes under the name 67 00:04:06,880 --> 00:04:11,000 Speaker 1: Harry Fisher EMTP, mister President. I'm writing to it as 68 00:04:11,000 --> 00:04:14,280 Speaker 1: a paramedic who has worked day after day in the field, 69 00:04:14,560 --> 00:04:18,040 Speaker 1: responding to emergencies where people's lives hang in the balance. 70 00:04:18,760 --> 00:04:20,560 Speaker 1: I don't sit behind a desk, and I don't deal 71 00:04:20,560 --> 00:04:23,960 Speaker 1: in theories. I deal in blood, broken bodies, in human reality. 72 00:04:24,640 --> 00:04:27,200 Speaker 1: The reality is why I cannot ignore what I personally 73 00:04:27,240 --> 00:04:30,600 Speaker 1: witnessed a twelve year old girl who suffered a stroke 74 00:04:30,720 --> 00:04:35,680 Speaker 1: shortly after receiving her COVID shot. Pfizer. This was not propaganda, 75 00:04:35,720 --> 00:04:37,679 Speaker 1: not a story I read online. It was in front 76 00:04:37,680 --> 00:04:40,840 Speaker 1: of me, a child with the medical catastrophe that should 77 00:04:40,920 --> 00:04:44,520 Speaker 1: never have happened. You've recently called on Phizer, Maderna, and 78 00:04:44,560 --> 00:04:47,480 Speaker 1: the CNC to release the full data on these drugs. 79 00:04:48,720 --> 00:04:52,200 Speaker 1: That demand is not only right, but it is long overdue. 80 00:04:52,680 --> 00:04:56,880 Speaker 1: The public is fed safe and effective slogans. Those of 81 00:04:56,960 --> 00:05:00,680 Speaker 1: us on the medical front lines see the injuries, the 82 00:05:00,760 --> 00:05:04,559 Speaker 1: side effects, and the tragedies that get swept under the rug. 83 00:05:05,200 --> 00:05:08,080 Speaker 1: Families are left in the dark, told it's a coincidence, 84 00:05:08,520 --> 00:05:14,120 Speaker 1: and pressured into silence. The drug companies parade miracle statistics 85 00:05:14,120 --> 00:05:17,200 Speaker 1: in press releases, but they never release the raw truth. 86 00:05:17,839 --> 00:05:21,520 Speaker 1: Why not. If their products are the life saving breakthroughs 87 00:05:21,560 --> 00:05:26,080 Speaker 1: they claim, then full transparency would vindicate them. And if 88 00:05:26,120 --> 00:05:30,000 Speaker 1: their products cause widespread harm, then the public deserves know. 89 00:05:30,080 --> 00:05:35,600 Speaker 1: The public is owed nothing less than honesty, mister President, 90 00:05:35,680 --> 00:05:39,359 Speaker 1: Operation warp Speed was held as a triumph. If it 91 00:05:39,400 --> 00:05:43,200 Speaker 1: truly was, Americans should see the proof, unfiltered, not curated charts, 92 00:05:43,240 --> 00:05:47,359 Speaker 1: not spend not sanitized reports. And if it wasn't, the 93 00:05:47,440 --> 00:05:51,880 Speaker 1: families who lost sons, daughters, fathers, mothers deserve accountability and 94 00:05:52,000 --> 00:05:55,520 Speaker 1: brothers on the ground. I've seen too much to let 95 00:05:55,600 --> 00:06:01,360 Speaker 1: this slide into bureaucratic silence. Hidden data doesn't save truth, does. 96 00:06:02,040 --> 00:06:05,400 Speaker 1: I'm asking you directly to please demand that Pfizer, Maderna 97 00:06:05,440 --> 00:06:09,000 Speaker 1: and others release the full clinical trial data. Adverse event 98 00:06:09,160 --> 00:06:14,440 Speaker 1: reports and internal communications compel the CDC to stop hiding 99 00:06:14,480 --> 00:06:19,280 Speaker 1: behind vague reassurances and publish all raw numbers. Give the 100 00:06:19,320 --> 00:06:22,600 Speaker 1: American people what they were promised, the truth. The debate 101 00:06:22,680 --> 00:06:26,400 Speaker 1: must end, the secrecy must end. What I witnessed in 102 00:06:26,440 --> 00:06:29,679 Speaker 1: that twelve year old's case is not is just one story, 103 00:06:29,720 --> 00:06:32,480 Speaker 1: but there are thousands upon thousands more out there unreported 104 00:06:33,040 --> 00:06:36,920 Speaker 1: lives have been destroyed. The American people deserve closure. I 105 00:06:37,080 --> 00:06:41,800 Speaker 1: urge you don't let corporate interest or captured regulators bury 106 00:06:41,880 --> 00:06:49,600 Speaker 1: this any longer with sincere urgency Harry Fisher, paramedic Now. 107 00:06:49,640 --> 00:06:54,120 Speaker 1: The story he was responding to was President Trump posting, 108 00:06:54,560 --> 00:06:57,279 Speaker 1: it's very important that the drug companies justify the success 109 00:06:57,320 --> 00:07:00,760 Speaker 1: of their various COVID drugs. Many people think they're a 110 00:07:00,800 --> 00:07:05,520 Speaker 1: miracle that saved millions of lives. Others disagreed with CDC 111 00:07:05,680 --> 00:07:08,160 Speaker 1: being ripped apart over this question. I want the answer, 112 00:07:08,200 --> 00:07:11,320 Speaker 1: and I want it now. I've been shown information from 113 00:07:11,320 --> 00:07:14,320 Speaker 1: Pfizer and others that is extraordinary, but they never seem 114 00:07:14,360 --> 00:07:17,440 Speaker 1: to show those results to the public. Why not they 115 00:07:17,760 --> 00:07:21,000 Speaker 1: go off to the next hunt and let everyone rip 116 00:07:21,040 --> 00:07:25,200 Speaker 1: themselves apart, including Bobby Kennedy Junior and CDC trying to 117 00:07:25,240 --> 00:07:27,680 Speaker 1: figure out the success or failure of the drug company's 118 00:07:27,680 --> 00:07:31,560 Speaker 1: COVID work. They show me great numbers and results, but 119 00:07:31,600 --> 00:07:33,400 Speaker 1: they don't seem to be showing them to many others. 120 00:07:33,800 --> 00:07:35,920 Speaker 1: I want them to show them now to CDC and 121 00:07:36,000 --> 00:07:38,720 Speaker 1: the public and clear up this mess one way or another. 122 00:07:39,480 --> 00:07:42,160 Speaker 1: I hope Operation Warp Speed was as brilliant as many 123 00:07:42,200 --> 00:07:44,480 Speaker 1: say it was. If not, we all want to know 124 00:07:44,560 --> 00:07:47,240 Speaker 1: about it and why. Thank you for your attention this 125 00:07:47,360 --> 00:07:53,760 Speaker 1: very important matter. President DJT. Now Harry Fisher, the same 126 00:07:53,760 --> 00:07:59,800 Speaker 1: fellow who posted that one, posted another. I've collected vaccine 127 00:07:59,800 --> 00:08:03,280 Speaker 1: in injured friends by the hundreds. I've seen injured people 128 00:08:03,360 --> 00:08:08,920 Speaker 1: by the thousands, He writes about his experience as a 129 00:08:08,960 --> 00:08:12,840 Speaker 1: first responder to people with vaccine injuries. We're not talking 130 00:08:12,840 --> 00:08:15,560 Speaker 1: about COVID. We're talking about a vaccine. They didn't have 131 00:08:15,680 --> 00:08:17,760 Speaker 1: to take it. He'll be our guests coming up. 132 00:08:20,720 --> 00:08:22,960 Speaker 2: No, Christy, he's eating right now. 133 00:08:22,960 --> 00:08:26,120 Speaker 1: He can't be the Michael Berry, Sir, Please do not 134 00:08:26,240 --> 00:08:28,920 Speaker 1: call him the fat pick. See I'm trying to be nice. 135 00:08:29,120 --> 00:08:30,320 Speaker 1: Don't call him a fat pick. 136 00:08:31,560 --> 00:08:32,679 Speaker 2: Stop the ring. 137 00:08:33,320 --> 00:08:36,800 Speaker 1: I realize a lot of people want, you know, a 138 00:08:36,920 --> 00:08:44,680 Speaker 1: music teacher, vocalists with no heart and soul and don't 139 00:08:44,840 --> 00:08:47,920 Speaker 1: like these voices. But I could listen to Tom Waits 140 00:08:48,400 --> 00:08:51,800 Speaker 1: or Bob Seeger cover every song every day, all day, 141 00:08:51,840 --> 00:08:54,240 Speaker 1: and you wont know who else. Robert O'Keane. I don't 142 00:08:54,320 --> 00:08:57,480 Speaker 1: like pretty thang voice. I don't like you. You don't have 143 00:08:57,480 --> 00:09:05,280 Speaker 1: a brain, Ray Wiley Hubbard. Give me some grit, give 144 00:09:05,320 --> 00:09:10,640 Speaker 1: me some imperfection. I like that. Harry Fisher. If you're 145 00:09:10,679 --> 00:09:15,079 Speaker 1: on Twitter, He's Harry Fisher, all caps, E, M T P. 146 00:09:16,040 --> 00:09:20,240 Speaker 1: Welcome to the program sir, thank you. 147 00:09:20,160 --> 00:09:22,880 Speaker 2: For having me on. What else I saying, I'm really 148 00:09:22,880 --> 00:09:23,720 Speaker 2: sorry about your brother? 149 00:09:24,280 --> 00:09:26,400 Speaker 1: Well, thank you. Why are you wearing a beanie? Are 150 00:09:26,440 --> 00:09:26,880 Speaker 1: you bald? 151 00:09:29,160 --> 00:09:32,040 Speaker 2: No? I've got way too much hair on my head. 152 00:09:32,840 --> 00:09:35,960 Speaker 2: I just I was working in Alaska a lot, because 153 00:09:35,960 --> 00:09:39,679 Speaker 2: I'm been a contract medic for many years, working all 154 00:09:39,720 --> 00:09:42,040 Speaker 2: over the place, from New York City to Alaska. And 155 00:09:42,120 --> 00:09:44,320 Speaker 2: I worked in Alaska for a couple of years, so 156 00:09:44,360 --> 00:09:46,800 Speaker 2: it's typically cold, so i'd wear a beanie. 157 00:09:46,800 --> 00:09:48,079 Speaker 1: Oh keeps your hair back. 158 00:09:48,120 --> 00:09:49,959 Speaker 2: I have long hairs, and I don't like wearing a 159 00:09:50,559 --> 00:09:52,720 Speaker 2: I don't like wearing a ponytail, so a beanie will 160 00:09:52,920 --> 00:09:53,600 Speaker 2: hold it back. 161 00:09:53,760 --> 00:09:56,400 Speaker 1: But you will occasionally wear a pony do you ever 162 00:09:56,440 --> 00:09:59,720 Speaker 1: wear a man bun? Yeah? 163 00:10:00,040 --> 00:10:02,040 Speaker 2: I have worn a man bun before, but I feel 164 00:10:02,040 --> 00:10:04,240 Speaker 2: bad every time I do it, but it is convenient. 165 00:10:04,440 --> 00:10:06,280 Speaker 1: How long has your hair refused to let it go? 166 00:10:06,360 --> 00:10:07,760 Speaker 1: How far down your back would it go? 167 00:10:10,360 --> 00:10:13,920 Speaker 2: About? Probably about midway, maybe a little bit a little 168 00:10:13,920 --> 00:10:17,160 Speaker 2: bit shorter than midway. I stopped cutting my hair whenever 169 00:10:17,160 --> 00:10:19,280 Speaker 2: I got out of the Air Force. I was Army 170 00:10:19,320 --> 00:10:23,120 Speaker 2: initially Air Force second branch, and then after that I 171 00:10:23,800 --> 00:10:26,120 Speaker 2: grew a beard and grew long hair. But now with 172 00:10:26,200 --> 00:10:28,160 Speaker 2: the paramedic job that I'm working, they don't let me 173 00:10:28,160 --> 00:10:30,080 Speaker 2: have a full beard anymore. I can only have like 174 00:10:30,120 --> 00:10:32,400 Speaker 2: a goatee and a mustache. They want you to be 175 00:10:32,440 --> 00:10:35,199 Speaker 2: able to wear those masks, so I've got to actually 176 00:10:35,200 --> 00:10:37,560 Speaker 2: shave my beard, but don't let me keep my hair, 177 00:10:37,840 --> 00:10:38,440 Speaker 2: Thank the Lord. 178 00:10:39,040 --> 00:10:40,880 Speaker 1: I can't tell you how many people, and I didn't 179 00:10:40,880 --> 00:10:42,920 Speaker 1: even know this was done twenty years ago. I had 180 00:10:42,880 --> 00:10:44,720 Speaker 1: to know this. I can't tell you how many people 181 00:10:45,840 --> 00:10:49,440 Speaker 1: I've talked to who's serving one branch and then serving another. 182 00:10:49,800 --> 00:10:52,280 Speaker 1: Some of them will serve an entire career in one 183 00:10:52,320 --> 00:10:54,960 Speaker 1: and then go serve another one. I didn't know when 184 00:10:55,000 --> 00:10:56,640 Speaker 1: I was younger that that was a thing that could 185 00:10:56,679 --> 00:10:57,280 Speaker 1: even be done. 186 00:10:59,280 --> 00:11:03,320 Speaker 2: Yep, it's well. I mean, I just wanted to tell 187 00:11:03,360 --> 00:11:05,360 Speaker 2: people I wanted to work smarter, not harder. So I 188 00:11:05,360 --> 00:11:08,600 Speaker 2: went to the Air Force. But that's just mainly because 189 00:11:08,679 --> 00:11:10,640 Speaker 2: my friends given me a hard time for crossing over 190 00:11:10,679 --> 00:11:13,920 Speaker 2: to the Air Force. I wanted to be a flight medics. 191 00:11:14,320 --> 00:11:15,800 Speaker 2: I was a medic in the Army, medic in the 192 00:11:15,840 --> 00:11:17,520 Speaker 2: Air Force. I wanted to be a flight medics. I 193 00:11:17,559 --> 00:11:20,360 Speaker 2: crossed over to the Air Force. And crossing over from 194 00:11:20,400 --> 00:11:22,040 Speaker 2: the Army to the Air Force, you don't have to 195 00:11:22,080 --> 00:11:25,280 Speaker 2: go through all the training and everything, like the initial 196 00:11:25,360 --> 00:11:28,800 Speaker 2: basic trainings for the Air Force. Basically just have to, 197 00:11:28,960 --> 00:11:31,640 Speaker 2: you know, raise your hand, swear an oath, and go 198 00:11:31,720 --> 00:11:33,560 Speaker 2: figure out where your job's at. You don't have to 199 00:11:33,600 --> 00:11:37,360 Speaker 2: do all the you know, rebasic training and all that stuff. 200 00:11:38,000 --> 00:11:41,160 Speaker 1: My friend, my friend Robert Reese says he got he 201 00:11:41,240 --> 00:11:48,679 Speaker 1: chose the Air Force because they had hot showers. 202 00:11:45,960 --> 00:11:46,679 Speaker 2: And good food. 203 00:11:47,480 --> 00:11:49,640 Speaker 1: So when you show up at it all, when you 204 00:11:49,640 --> 00:11:53,520 Speaker 1: show up on the scene and somebody has had a reaction, 205 00:11:53,600 --> 00:11:55,960 Speaker 1: I suppose the reactions are different or maybe there are 206 00:11:55,960 --> 00:12:01,920 Speaker 1: consistencies throughout two in do you believe it's the COVID shot, 207 00:12:02,000 --> 00:12:05,640 Speaker 1: who's done that? Because they were otherwise healthy, no co morbidities, 208 00:12:06,000 --> 00:12:09,680 Speaker 1: no pre existing conditions, and they're young. What do you 209 00:12:09,840 --> 00:12:13,800 Speaker 1: notice about those people? What do you see upon arrival? 210 00:12:17,080 --> 00:12:20,559 Speaker 2: Mean, I've seen so much upon arrival, but just typically 211 00:12:20,600 --> 00:12:24,280 Speaker 2: it would be younger than younger than I'd ever witnessed 212 00:12:24,280 --> 00:12:26,960 Speaker 2: because I've been I've been an EMT since nineteen ninety seven, 213 00:12:28,679 --> 00:12:31,880 Speaker 2: so quite a few years. So seeing the shots roll out, 214 00:12:31,920 --> 00:12:34,720 Speaker 2: it was night and day because I started running calls 215 00:12:34,760 --> 00:12:39,040 Speaker 2: that were just very strange, like young heart attacks, young strokes, 216 00:12:39,760 --> 00:12:42,280 Speaker 2: things that you would never see before the COVID shot 217 00:12:42,360 --> 00:12:45,080 Speaker 2: came out, like it was wasn't I wasn't even seeing 218 00:12:45,120 --> 00:12:47,640 Speaker 2: that during COVID. Like during COVID, we didn't run very 219 00:12:47,679 --> 00:12:50,960 Speaker 2: many pediatric calls, like most most of your kids were 220 00:12:51,000 --> 00:12:53,800 Speaker 2: just stuck indoors, not going out and getting sick like 221 00:12:53,840 --> 00:12:58,079 Speaker 2: they typically do at school. So our host our children's 222 00:12:58,080 --> 00:13:02,040 Speaker 2: hospitals were quite slow, like I mean really slow. And 223 00:13:02,080 --> 00:13:03,959 Speaker 2: then when the shots rolled out and they opened the 224 00:13:04,000 --> 00:13:06,719 Speaker 2: gates back up, you started running the typical calls where 225 00:13:06,760 --> 00:13:09,360 Speaker 2: your kids were getting sick, of course, and they know 226 00:13:09,480 --> 00:13:11,120 Speaker 2: their kids get sick, you know, it's how they build 227 00:13:11,120 --> 00:13:13,720 Speaker 2: their immune system. But then you started running these calls 228 00:13:13,720 --> 00:13:16,800 Speaker 2: where kids were having like it looked like just full 229 00:13:16,800 --> 00:13:20,199 Speaker 2: blown MI which means like they're there ekg. Looked like 230 00:13:20,240 --> 00:13:22,520 Speaker 2: they were having a heart attack. But that's that's a 231 00:13:22,520 --> 00:13:24,960 Speaker 2: big sign of mile carditis. It looks like they're having 232 00:13:24,960 --> 00:13:29,760 Speaker 2: a heart attack. So running these calls right after the shots, 233 00:13:30,280 --> 00:13:32,040 Speaker 2: it was like I said, night and deck. You just 234 00:13:32,320 --> 00:13:36,520 Speaker 2: anybody who didn't have big farm of blinders on, you 235 00:13:36,559 --> 00:13:40,240 Speaker 2: could just see it very clear. I was lucky enough 236 00:13:40,520 --> 00:13:44,240 Speaker 2: to say lucky. It wasn't really lucky, but but in 237 00:13:44,280 --> 00:13:46,240 Speaker 2: my case there was some luck there because I was 238 00:13:46,360 --> 00:13:48,720 Speaker 2: thinking about going ahead and taking the shot anyways, because 239 00:13:49,280 --> 00:13:53,240 Speaker 2: I was bought into the system to a degree. But 240 00:13:53,440 --> 00:13:55,480 Speaker 2: right at the start of them rolling these shots out, 241 00:13:55,800 --> 00:13:57,560 Speaker 2: I got a nine to one one call to what 242 00:13:57,640 --> 00:14:00,400 Speaker 2: I call a pfisor line. You know those big lines 243 00:14:00,400 --> 00:14:02,719 Speaker 2: where everybody was lined up like cattle to get their 244 00:14:02,760 --> 00:14:05,960 Speaker 2: shot right start. When they rolled out the shot, the tents, yeah, 245 00:14:06,679 --> 00:14:08,200 Speaker 2: I mean, oh go ahead. 246 00:14:08,840 --> 00:14:10,800 Speaker 1: No, they would have them in tents, can you hear me? 247 00:14:11,160 --> 00:14:11,360 Speaker 3: Yeah? 248 00:14:12,280 --> 00:14:16,120 Speaker 2: Oh yeah, kants tents and on the in parking lots, and. 249 00:14:16,320 --> 00:14:19,840 Speaker 1: People couldn't wait. They couldn't wait. They were like like 250 00:14:19,960 --> 00:14:22,040 Speaker 1: cash to the slaughter and had no idea. They were 251 00:14:22,520 --> 00:14:24,400 Speaker 1: I'm going to get I got gone, going to get 252 00:14:24,440 --> 00:14:27,400 Speaker 1: my shot. Why I'm going I'm not gonna be able 253 00:14:27,400 --> 00:14:29,560 Speaker 1: to get COVID. Okay, So they scared you to death 254 00:14:29,600 --> 00:14:32,360 Speaker 1: over COVID to get you to rush and get this 255 00:14:32,480 --> 00:14:35,040 Speaker 1: thing that you're gonna get free that's gonna save your life, 256 00:14:35,480 --> 00:14:38,440 Speaker 1: and you trust it and don't know it. I'm tope 257 00:14:38,440 --> 00:14:41,840 Speaker 1: every day, give me with God. It just shocked me 258 00:14:41,960 --> 00:14:43,000 Speaker 1: how people would do that. 259 00:14:44,920 --> 00:14:47,880 Speaker 2: It was and they would wait there just in that line, 260 00:14:47,960 --> 00:14:50,240 Speaker 2: like like we say cattle and I get there to 261 00:14:50,280 --> 00:14:52,360 Speaker 2: a nine on one call to a full arrest, meaning 262 00:14:52,400 --> 00:14:56,400 Speaker 2: someone's dead. So I get there, fire departments already doing CPR, 263 00:14:56,480 --> 00:14:59,800 Speaker 2: initiated CPR for me. I take over the scene, start 264 00:14:59,800 --> 00:15:03,960 Speaker 2: where working this younger lady, not an old person, younger, 265 00:15:06,080 --> 00:15:09,720 Speaker 2: and she's she's dead, and we go through everything. I innovator. 266 00:15:09,840 --> 00:15:12,440 Speaker 2: I shocked her multiple times because she's in a shockable rhythm. 267 00:15:12,880 --> 00:15:16,280 Speaker 2: It didn't look like an allergic reaction because you can 268 00:15:16,320 --> 00:15:18,520 Speaker 2: tell signs of allergic reaction. It looked like she went 269 00:15:18,560 --> 00:15:21,160 Speaker 2: into a lethal arhythmia because I shocked the leathal aarhythmia 270 00:15:21,240 --> 00:15:25,760 Speaker 2: multiple you know, three times. She was in v TACH predominantly, 271 00:15:26,320 --> 00:15:29,400 Speaker 2: but inevitably I couldn't save her. And I worked this 272 00:15:29,840 --> 00:15:33,680 Speaker 2: young lady in front of a crowd of people that 273 00:15:33,760 --> 00:15:36,080 Speaker 2: were still waiting to get their shot. Like at one point, 274 00:15:36,120 --> 00:15:38,560 Speaker 2: I remember looking over my shoulder and no one's leaving 275 00:15:38,600 --> 00:15:41,760 Speaker 2: this line, like this person just got their shot, they're dead. 276 00:15:42,280 --> 00:15:45,360 Speaker 2: There's this scene in front of them of fire department, 277 00:15:45,400 --> 00:15:48,080 Speaker 2: in EMS and the nurses that were on seeing all 278 00:15:48,120 --> 00:15:51,640 Speaker 2: trying to bring this lady back. And at one point 279 00:15:51,720 --> 00:15:57,200 Speaker 2: the nurse that gave the shot loudly, not quite loudly, 280 00:15:57,280 --> 00:16:00,000 Speaker 2: said this is the second one in two weeks. 281 00:16:02,000 --> 00:16:04,520 Speaker 1: And by the way, they would not have died from COVID. 282 00:16:04,920 --> 00:16:10,080 Speaker 1: Harry Fisher EMTP. He's in EMT in real life. EMTP 283 00:16:10,360 --> 00:16:16,720 Speaker 1: on Twitter is our guest coming up with Harry Fisher 284 00:16:16,760 --> 00:16:19,840 Speaker 1: is our guest. I don't know Harry Fisher. I read 285 00:16:19,880 --> 00:16:22,560 Speaker 1: a post he put up in response to President Trump 286 00:16:22,680 --> 00:16:26,720 Speaker 1: demanding that the pharmaceutical companies answer questions about the dangers 287 00:16:27,320 --> 00:16:30,160 Speaker 1: of the COVID shot. They called it a vaccine. It wasn't. 288 00:16:30,160 --> 00:16:33,080 Speaker 1: It does not qualify as a vaccine. What did qualify 289 00:16:33,560 --> 00:16:36,040 Speaker 1: as a vaccine was not shipped within the United States. 290 00:16:36,080 --> 00:16:38,720 Speaker 1: It was sent abroad. The number of people who have 291 00:16:38,760 --> 00:16:41,680 Speaker 1: died suddenly, just look up the term died suddenly in quotes. 292 00:16:41,720 --> 00:16:46,480 Speaker 1: Their entire websites devoted to it. We've had young, healthy 293 00:16:47,040 --> 00:16:50,400 Speaker 1: basketball players sixteen, seventeen, eighteen years old dribbling the ball 294 00:16:50,480 --> 00:16:53,480 Speaker 1: up the court, collapse on the spot and die. We've 295 00:16:53,480 --> 00:16:58,840 Speaker 1: had journalists who were on camera at international soccer events 296 00:16:58,840 --> 00:17:02,120 Speaker 1: who were the biggest proponents of it died. Joe Rogan 297 00:17:02,200 --> 00:17:05,440 Speaker 1: said this week. One of the great tragedies is that 298 00:17:05,560 --> 00:17:09,639 Speaker 1: the people who were advocating for it so much, young 299 00:17:09,760 --> 00:17:13,639 Speaker 1: healthy people themselves died after taking it. We've got video 300 00:17:13,680 --> 00:17:17,959 Speaker 1: of people who received the shot and were hauled away 301 00:17:18,920 --> 00:17:24,840 Speaker 1: immediately after receiving the shot from the shot. Now, if 302 00:17:24,880 --> 00:17:28,359 Speaker 1: this was ibola, fine, it's willing to take a risk 303 00:17:28,880 --> 00:17:32,840 Speaker 1: for an upside. But we're talking about something less deadly 304 00:17:32,920 --> 00:17:36,880 Speaker 1: than the common flu that we get every year. Oh 305 00:17:36,920 --> 00:17:40,560 Speaker 1: but people died, Michael. The morbidly OBEs and the elderly, 306 00:17:41,320 --> 00:17:44,600 Speaker 1: those are comorbidities that make it far more likely you'll die. 307 00:17:44,840 --> 00:17:48,960 Speaker 1: Young healthy people didn't die. My fifty four year old, 308 00:17:49,040 --> 00:17:54,080 Speaker 1: relatively healthy brother would not have died. Teenagers, college kids, 309 00:17:54,440 --> 00:18:03,600 Speaker 1: young people, athletes, doctors, people in good shape. This thing 310 00:18:03,760 --> 00:18:08,120 Speaker 1: was dangerous and it killed a lot of people. And 311 00:18:08,200 --> 00:18:11,000 Speaker 1: the worst part about that is how many people don't 312 00:18:11,080 --> 00:18:13,359 Speaker 1: want to admit that, not because they got rich off 313 00:18:13,400 --> 00:18:15,840 Speaker 1: of it because they worked for Pfiser, but because they're 314 00:18:15,880 --> 00:18:20,239 Speaker 1: embarrassed or because they played a part in a proving it. 315 00:18:21,480 --> 00:18:26,680 Speaker 1: The truth has to get out. Sunlight is the best disinfectant. 316 00:18:27,240 --> 00:18:30,160 Speaker 1: Harry Fisher. Let me first say, I think it's cool 317 00:18:30,240 --> 00:18:34,000 Speaker 1: you're paramedic. I think that that that is up there 318 00:18:34,040 --> 00:18:37,560 Speaker 1: with being a preacher or a teacher or a comp 319 00:18:38,280 --> 00:18:40,960 Speaker 1: I think you know the idea. I mean, I'm from 320 00:18:41,000 --> 00:18:43,600 Speaker 1: a selfish perspective. You're helping people. It's got to be 321 00:18:43,760 --> 00:18:48,119 Speaker 1: cool to feel like, you know, you're responding and helping people. 322 00:18:48,119 --> 00:18:50,760 Speaker 1: And when you get to walk away from from someone 323 00:18:50,840 --> 00:18:53,520 Speaker 1: and changing you know their condition, that has to be 324 00:18:53,520 --> 00:18:56,760 Speaker 1: a high. 325 00:18:57,359 --> 00:19:00,840 Speaker 2: Yeah, I mean idea that it's it's it's definitely a 326 00:19:00,400 --> 00:19:04,000 Speaker 2: You don't get into being an into your paramedic for money. 327 00:19:04,040 --> 00:19:05,800 Speaker 2: That's one of the first things you learned in school. 328 00:19:05,840 --> 00:19:07,639 Speaker 2: I think one of the first things I remember my 329 00:19:07,640 --> 00:19:10,760 Speaker 2: instructor telling me many many years ago, is if you 330 00:19:10,800 --> 00:19:12,679 Speaker 2: wanted to be a millionaire, you're in their own business. 331 00:19:13,160 --> 00:19:15,040 Speaker 2: So we do it because we like to help people. 332 00:19:15,760 --> 00:19:19,560 Speaker 1: I agree, Would you do it over again? 333 00:19:19,840 --> 00:19:26,240 Speaker 2: It's one I wouldn't do anything different. I might. There's 334 00:19:26,280 --> 00:19:28,320 Speaker 2: a few things that during this time I would have 335 00:19:28,359 --> 00:19:32,560 Speaker 2: done differently, like like the lady that the lady that died, 336 00:19:32,600 --> 00:19:34,840 Speaker 2: and I couldn't say that in that Pfizer line after 337 00:19:34,880 --> 00:19:36,679 Speaker 2: she just took her shot. Whenever I looked over my 338 00:19:36,720 --> 00:19:38,720 Speaker 2: shoulder and saw a bunch of people just standing there 339 00:19:38,760 --> 00:19:42,199 Speaker 2: like cattle, I would have maybe screamed all made. I 340 00:19:42,240 --> 00:19:44,440 Speaker 2: know it probably wouldn't have changed anything, but but I've 341 00:19:44,440 --> 00:19:46,679 Speaker 2: thought about that over and over again, Like could I 342 00:19:46,720 --> 00:19:49,040 Speaker 2: have told them, hey, she just took this substance, since 343 00:19:49,040 --> 00:19:52,960 Speaker 2: she's dead, get out of line, get out, please get 344 00:19:53,000 --> 00:19:55,399 Speaker 2: out of the line. Maybe I would have done something 345 00:19:55,440 --> 00:19:58,960 Speaker 2: like that, try to help more. But since then I've 346 00:19:59,080 --> 00:20:02,400 Speaker 2: experienced so many people that only better way I can 347 00:20:02,440 --> 00:20:05,280 Speaker 2: say it is brainwashing people that have been abused so 348 00:20:05,440 --> 00:20:08,400 Speaker 2: bad by a system telling them the fear fear, fear, fear, 349 00:20:08,480 --> 00:20:12,960 Speaker 2: fear that they've been abused into this brainwashed state where 350 00:20:13,000 --> 00:20:15,440 Speaker 2: they'll do anything that big fires or big pharm of 351 00:20:15,520 --> 00:20:19,280 Speaker 2: big Maderna tells them to do through their favorite politician, 352 00:20:20,000 --> 00:20:22,840 Speaker 2: that they will do whatever they're told because they've been abused. 353 00:20:22,880 --> 00:20:25,000 Speaker 2: I like in it to people that have been molested 354 00:20:25,000 --> 00:20:27,560 Speaker 2: because whenever you run to someone who's been abused or molested, 355 00:20:27,920 --> 00:20:30,280 Speaker 2: they don't want to lot. Typically they don't want to 356 00:20:30,280 --> 00:20:32,840 Speaker 2: blame their abuser or even talk about their abuser. They 357 00:20:32,840 --> 00:20:35,800 Speaker 2: want to pretend like it never happens. Well, our society 358 00:20:35,800 --> 00:20:38,160 Speaker 2: has been so molested and abused at this point, they 359 00:20:38,160 --> 00:20:40,560 Speaker 2: want to just sweep it under the rugs. It's sickening. 360 00:20:44,560 --> 00:20:49,040 Speaker 1: Fear was the critical component. You had to have people 361 00:20:49,160 --> 00:20:54,359 Speaker 1: so afraid that, in that fear, they would do irrational things. 362 00:20:54,480 --> 00:20:58,280 Speaker 1: I've studied successful print calls, and one of the things 363 00:20:58,400 --> 00:21:04,000 Speaker 1: successful print callers did was you create a crisis. Now, 364 00:21:04,080 --> 00:21:06,600 Speaker 1: there are these spam callers that are basically a prank 365 00:21:06,600 --> 00:21:09,440 Speaker 1: caller for profit, where they get people to give their 366 00:21:09,480 --> 00:21:11,919 Speaker 1: information or they're going to cut off your electricity or 367 00:21:12,240 --> 00:21:14,959 Speaker 1: you know, your kids a hostage or whatever. You create 368 00:21:15,000 --> 00:21:18,000 Speaker 1: a situation where someone is on their heels and frightened, 369 00:21:18,000 --> 00:21:21,359 Speaker 1: and they do things they would never otherwise do. They're 370 00:21:21,480 --> 00:21:25,600 Speaker 1: not methodical and measured in their answers. The fear was 371 00:21:25,640 --> 00:21:28,800 Speaker 1: the most important part of COVID, and that is why 372 00:21:28,880 --> 00:21:31,800 Speaker 1: when they start preaching fear, everyone should have their hackles 373 00:21:31,880 --> 00:21:34,520 Speaker 1: up and say, wait a second, why is it so 374 00:21:34,680 --> 00:21:38,040 Speaker 1: important that they frightened me? And there will always be 375 00:21:38,160 --> 00:21:39,800 Speaker 1: those weak people. But you know what's amazing to me 376 00:21:39,840 --> 00:21:43,320 Speaker 1: hearing is how many people have said to me, man, 377 00:21:43,680 --> 00:21:45,720 Speaker 1: I hate that I got the shot. I would never 378 00:21:45,800 --> 00:21:50,160 Speaker 1: do that again, to which I always respond, yes, you will, no, no, 379 00:21:50,200 --> 00:21:52,960 Speaker 1: not knowing what I know now. The point is you 380 00:21:53,080 --> 00:21:56,440 Speaker 1: had to make that decision knowing what you knew then. 381 00:21:57,119 --> 00:22:00,280 Speaker 1: And you're a person who, out of complete fear, will 382 00:22:00,320 --> 00:22:03,919 Speaker 1: always jump in and throw caution to the wind and 383 00:22:04,000 --> 00:22:06,359 Speaker 1: good judgment to the wind, because you will give in 384 00:22:06,440 --> 00:22:09,840 Speaker 1: to fear. And people that will do that will always 385 00:22:09,840 --> 00:22:12,639 Speaker 1: do that. There will be another COVID. There will be 386 00:22:12,680 --> 00:22:15,640 Speaker 1: more COVID. They'll come in different ways, but there will 387 00:22:15,680 --> 00:22:18,159 Speaker 1: be There will be turning on your your friend to 388 00:22:18,200 --> 00:22:20,760 Speaker 1: help the Nazis. There will be turning in the lady 389 00:22:20,800 --> 00:22:23,399 Speaker 1: next door as the Salem, which there will be more. 390 00:22:23,960 --> 00:22:28,080 Speaker 1: This is endemic to the human condition. Harry Fisher I'm 391 00:22:28,080 --> 00:22:30,640 Speaker 1: grateful for you, thank you for sharing your story, thank 392 00:22:30,680 --> 00:22:33,439 Speaker 1: you for sharing your perspective, and I'm glad to know 393 00:22:33,480 --> 00:22:35,679 Speaker 1: that God forbid. At some point there'll be a call 394 00:22:35,960 --> 00:22:37,840 Speaker 1: that I'll need an EMT and I hope you're the 395 00:22:37,840 --> 00:22:39,160 Speaker 1: guy on the other end of the line. 396 00:22:41,160 --> 00:22:43,240 Speaker 2: I appreciate you, sir, and I'll be praying for you 397 00:22:43,280 --> 00:22:46,000 Speaker 2: and your family, and I appreciate you prayers as well. 398 00:22:46,720 --> 00:22:51,280 Speaker 1: You bet Khou Clip number ten has a story. Politicians, 399 00:22:51,320 --> 00:22:56,360 Speaker 1: political groups, and parties are the biggest offenders. A new 400 00:22:56,440 --> 00:22:59,000 Speaker 1: law that just took effect in Texas on September first 401 00:22:59,359 --> 00:23:03,160 Speaker 1: is design and to stop spam text messages. 402 00:23:04,320 --> 00:23:05,679 Speaker 4: You know how it feels you're in the middle of 403 00:23:05,680 --> 00:23:08,920 Speaker 4: something and there it is, boom, that random text message 404 00:23:08,920 --> 00:23:11,480 Speaker 4: from a number you just don't recognize, and there's the 405 00:23:11,680 --> 00:23:14,880 Speaker 4: self pits, sales pitch you never saw coming. Well, yep, 406 00:23:14,960 --> 00:23:17,440 Speaker 4: we've all been there, and there is good news now 407 00:23:17,560 --> 00:23:20,639 Speaker 4: for Texans. It's called Senate Bill one forty and it 408 00:23:20,640 --> 00:23:24,439 Speaker 4: took effect this week. It officially expands the definition of 409 00:23:24,520 --> 00:23:29,919 Speaker 4: telephone solicitation to include text messages or anything designed to 410 00:23:30,080 --> 00:23:33,880 Speaker 4: persuade you to buy, rent, or claim a product or service. 411 00:23:34,320 --> 00:23:35,520 Speaker 3: So Now before. 412 00:23:35,280 --> 00:23:38,159 Speaker 4: Business can solicit you by text, they must do a 413 00:23:38,200 --> 00:23:41,159 Speaker 4: few things and here they are jot them down. Okay, 414 00:23:41,400 --> 00:23:44,159 Speaker 4: so they have got to register with the state first, 415 00:23:44,520 --> 00:23:47,560 Speaker 4: they have got to get written consent from you, and 416 00:23:47,800 --> 00:23:51,040 Speaker 4: they've got to provide an easy option out like send 417 00:23:51,040 --> 00:23:53,520 Speaker 4: you the word stop where you can reply, so they 418 00:23:53,520 --> 00:23:56,439 Speaker 4: can stop texting you immediately, and they have to observe 419 00:23:56,560 --> 00:24:00,320 Speaker 4: quiet hours. Now for consumers, the law closes up major 420 00:24:00,359 --> 00:24:04,720 Speaker 4: loophol because until now companies could argue that texts were 421 00:24:04,760 --> 00:24:07,840 Speaker 4: in phone calls and avoid the rules. Well, SB one 422 00:24:07,840 --> 00:24:12,240 Speaker 4: point shuts that down, giving Texans new protections. You can 423 00:24:12,280 --> 00:24:15,640 Speaker 4: opt out by simply replying with stop. You can report 424 00:24:15,840 --> 00:24:18,399 Speaker 4: that business to the AG's office. And guess what, now 425 00:24:18,840 --> 00:24:22,280 Speaker 4: you can directly sue them. So if you start getting 426 00:24:22,280 --> 00:24:25,159 Speaker 4: the sales pitches by texts that you never agreed to, 427 00:24:26,040 --> 00:24:28,359 Speaker 4: you can do something now to make them stop. 428 00:24:28,560 --> 00:24:31,400 Speaker 1: That's it. Thought that be a little more wrap up, 429 00:24:32,640 --> 00:24:40,880 Speaker 1: you know, sound effect. Yeah, working for you, I'm Ivory 430 00:24:40,920 --> 00:24:44,960 Speaker 1: Hecker who was the reporter that wasn't Ivory Hecker should 431 00:24:44,960 --> 00:24:51,280 Speaker 1: not tell them working for you? I'm Lisa Farnva kho Unit. 432 00:24:54,720 --> 00:24:59,119 Speaker 1: I really enjoy listening to both sessions of your show, Every. 433 00:24:58,960 --> 00:25:00,720 Speaker 2: Day Makola Mary. 434 00:25:00,800 --> 00:25:04,320 Speaker 1: He had the most pleasant boy get off of the 435 00:25:04,400 --> 00:25:06,440 Speaker 1: counts and one of my favorite interviews I ever did. 436 00:25:07,600 --> 00:25:10,960 Speaker 1: I was doing Texas Time, the radio interviews Sunday night 437 00:25:11,000 --> 00:25:16,080 Speaker 1: interviews of Texas country singer songwriters, and Robert Earl Keene 438 00:25:16,080 --> 00:25:21,400 Speaker 1: had said some nice things about Adam Carroll and Cory 439 00:25:21,440 --> 00:25:23,080 Speaker 1: Morrow called me one day and said, Hey, I'm going 440 00:25:23,119 --> 00:25:26,760 Speaker 1: to be out in Wharton on the Square. There they 441 00:25:26,760 --> 00:25:29,119 Speaker 1: have an old theater. You ought to come out be 442 00:25:29,240 --> 00:25:31,320 Speaker 1: my guest. Let's have dinner before it and be my guest. 443 00:25:31,359 --> 00:25:35,199 Speaker 1: So I go out and there's a guy sitting at 444 00:25:35,200 --> 00:25:38,160 Speaker 1: the table with us who never talks to before the concert. 445 00:25:39,160 --> 00:25:42,720 Speaker 1: And he's a little guy, kind of frumpy, has kind 446 00:25:42,720 --> 00:25:47,560 Speaker 1: of a real bad mullet, like a home cup mullet. 447 00:25:47,840 --> 00:25:50,000 Speaker 1: And I'm thinking, you know, this must be some roadie 448 00:25:50,080 --> 00:25:52,320 Speaker 1: or something. And then they come out to do the 449 00:25:52,359 --> 00:25:57,800 Speaker 1: show and Corey starts and then he tosses to that 450 00:25:57,840 --> 00:26:02,600 Speaker 1: little guy, Well, he's a singer song writer. Name's Adam Carroll. 451 00:26:02,640 --> 00:26:06,280 Speaker 1: And he did Red Bandana Blues and I About Lost 452 00:26:06,320 --> 00:26:08,800 Speaker 1: my Mind, which is one of the songs he did. 453 00:26:09,040 --> 00:26:11,000 Speaker 1: How often do you hear reference to a bow dark 454 00:26:11,080 --> 00:26:14,159 Speaker 1: tree in a song about two hippie parents that you 455 00:26:14,280 --> 00:26:20,720 Speaker 1: have who are you're paying tribute, but also telling people 456 00:26:20,760 --> 00:26:24,360 Speaker 1: this was a real rough childhood. It's just amazing. Well, 457 00:26:24,400 --> 00:26:26,520 Speaker 1: so I set up to do the interview, and we 458 00:26:26,560 --> 00:26:29,200 Speaker 1: did the interviews back then Levi Good would let me 459 00:26:29,359 --> 00:26:35,400 Speaker 1: use Armadilla Palace on Kirby next to the original Good 460 00:26:35,400 --> 00:26:38,680 Speaker 1: Company Barbecue, and we would do them on Friday afternoon 461 00:26:39,920 --> 00:26:42,520 Speaker 1: when they weren't open in between shifts. Well they were open, 462 00:26:42,560 --> 00:26:45,200 Speaker 1: but there were nobody there in between shifts. In this 463 00:26:45,240 --> 00:26:48,359 Speaker 1: particular day, we were going to do the interview starting 464 00:26:48,400 --> 00:26:53,639 Speaker 1: at say three, But when we got there, we'd go 465 00:26:53,720 --> 00:26:57,480 Speaker 1: up to the door and it's locked, and the guy, 466 00:26:57,680 --> 00:26:59,560 Speaker 1: the sound guy's not there yet to let us in, 467 00:27:00,840 --> 00:27:03,120 Speaker 1: and the rain is just about to start coming out, 468 00:27:03,200 --> 00:27:05,600 Speaker 1: and I'd part right near the door and I said, 469 00:27:05,680 --> 00:27:07,360 Speaker 1: let's get in my truck real quick and we'll wait. 470 00:27:07,400 --> 00:27:09,159 Speaker 1: So we hop in my truck. Thankfully he has his 471 00:27:09,200 --> 00:27:12,520 Speaker 1: guitar with him. Well, it's coming down extremely hard and 472 00:27:12,560 --> 00:27:14,240 Speaker 1: it's going to be a long time, you can tell. 473 00:27:15,040 --> 00:27:16,960 Speaker 1: And I got to get back to the studio and 474 00:27:17,040 --> 00:27:18,920 Speaker 1: I said, how about this, You won't be able to sing, 475 00:27:18,920 --> 00:27:21,159 Speaker 1: But how about I just ask you the questions on 476 00:27:21,200 --> 00:27:24,040 Speaker 1: my phone. We'll do an interview like this, And he said, 477 00:27:24,400 --> 00:27:27,320 Speaker 1: I can sing if you want. So he had his 478 00:27:27,359 --> 00:27:29,840 Speaker 1: guitar case in the back. He crawled over the seat, 479 00:27:30,520 --> 00:27:35,000 Speaker 1: click click, grabbed his guitar, did a little tuning, and 480 00:27:35,040 --> 00:27:37,000 Speaker 1: I would take my phone and I would talk into 481 00:27:37,040 --> 00:27:38,360 Speaker 1: it and ask him a question and I would hold 482 00:27:38,359 --> 00:27:40,879 Speaker 1: it to his mouth and he would answer, and then 483 00:27:40,920 --> 00:27:45,399 Speaker 1: he would sing the songs. And we did probably forty 484 00:27:45,400 --> 00:27:50,160 Speaker 1: five minute interview of him singing me asking You're sitting 485 00:27:50,160 --> 00:27:52,479 Speaker 1: pretty close in the truck, right, We're sitting there inside 486 00:27:52,520 --> 00:27:55,640 Speaker 1: a truck, and if you listen carefully to that interview, 487 00:27:56,160 --> 00:27:58,280 Speaker 1: you can hear the rain coming downs, coming down hard. 488 00:27:59,160 --> 00:28:01,240 Speaker 1: It was one of those moments that I'm thinking, you know, 489 00:28:02,760 --> 00:28:04,280 Speaker 1: I wouldn't want to do this all day every day, 490 00:28:04,600 --> 00:28:08,560 Speaker 1: but this is cool, this is really cool moment. I 491 00:28:08,600 --> 00:28:11,639 Speaker 1: love Adam Carroll. He didn't translate well to the stage 492 00:28:11,640 --> 00:28:16,360 Speaker 1: at RCC. I wanted him to, so I would try 493 00:28:16,400 --> 00:28:18,159 Speaker 1: to get hyped up for people I liked. And I 494 00:28:18,200 --> 00:28:21,040 Speaker 1: love Adam Carroll because he has no band. He just 495 00:28:21,080 --> 00:28:25,639 Speaker 1: travels around just himself and a guitar and he sings songs, 496 00:28:26,240 --> 00:28:27,960 Speaker 1: and he's never had a band, who'll never have a band, 497 00:28:28,320 --> 00:28:31,000 Speaker 1: And he just sings songs that he's written. And Robert o' 498 00:28:31,119 --> 00:28:33,600 Speaker 1: keene had called him the John Prine of his generation, 499 00:28:33,920 --> 00:28:37,840 Speaker 1: which is pretty high praise. And it's very John Primee esque. 500 00:28:37,880 --> 00:28:40,560 Speaker 1: It's just it's very simple songs. Just a few keys. 501 00:28:41,360 --> 00:28:45,360 Speaker 1: Listen to me like some music theorists. Just simple songs, 502 00:28:45,560 --> 00:28:50,600 Speaker 1: simple guitar, storytelling. My kind of deal stripped down right. 503 00:28:51,480 --> 00:28:57,000 Speaker 1: And our audience didn't know him, so they would come out. 504 00:28:57,400 --> 00:28:59,640 Speaker 1: You know, we got Jamie Johnson night, no Ted Agent, 505 00:28:59,760 --> 00:29:05,000 Speaker 1: no Adam Carroll, who's at he a little bit of guy, singer, songwriter, 506 00:29:05,160 --> 00:29:07,680 Speaker 1: left handed, but he's got this one song, red band 507 00:29:07,680 --> 00:29:11,200 Speaker 1: and a blues and okay, and so they'd start talking. Well, 508 00:29:11,240 --> 00:29:13,280 Speaker 1: he didn't stop him. He's one of those guys. And 509 00:29:13,320 --> 00:29:16,480 Speaker 1: when he sits down, you're gonna get ninety minutes. He's 510 00:29:16,480 --> 00:29:19,200 Speaker 1: gonna get up and leave. And if you want to photographic, 511 00:29:19,280 --> 00:29:20,840 Speaker 1: give it to you. But if you don't, that's okay. 512 00:29:21,320 --> 00:29:24,920 Speaker 1: He's been in rowdy places, quiet places, in the corner 513 00:29:24,920 --> 00:29:27,000 Speaker 1: at a party, he goes in, he sings his song 514 00:29:27,000 --> 00:29:29,200 Speaker 1: as he goes home, and I would be so bummed 515 00:29:29,200 --> 00:29:31,520 Speaker 1: because I think, man, y'all are missing out on something great. 516 00:29:32,120 --> 00:29:35,720 Speaker 1: But I also realize that I'm always the guy who says, hey, hey, 517 00:29:35,800 --> 00:29:38,200 Speaker 1: listen to this passage I just read at a party. 518 00:29:38,240 --> 00:29:40,360 Speaker 1: Can y'all listen to it? No, we don't want to 519 00:29:40,400 --> 00:29:42,600 Speaker 1: listen to that right now. So you know, you got 520 00:29:42,600 --> 00:29:46,560 Speaker 1: to know your time and place. So we're all for deportation, 521 00:29:47,400 --> 00:29:51,120 Speaker 1: we're all for closing the borders. But the dirty little 522 00:29:51,160 --> 00:29:54,320 Speaker 1: secret is restaurants have employed illegal aliens for a long time. 523 00:29:54,480 --> 00:29:57,480 Speaker 1: We know that. And while I do think it's true, 524 00:29:57,520 --> 00:29:59,240 Speaker 1: not a lot of people want to work in a kitchen, 525 00:29:59,280 --> 00:30:03,400 Speaker 1: not for very long anyway, So it's difficult training people 526 00:30:03,440 --> 00:30:07,280 Speaker 1: and all that. It's going to affect the wages of 527 00:30:07,320 --> 00:30:11,920 Speaker 1: the restaurant industry. One of the areas we're seeing there's 528 00:30:11,960 --> 00:30:18,640 Speaker 1: a deflationary and inflationary effect to the deportations already. For instance, 529 00:30:19,760 --> 00:30:21,280 Speaker 1: if you take a bunch of people out of the 530 00:30:21,280 --> 00:30:24,800 Speaker 1: rental pool, landlords are stuck with empty units. What do 531 00:30:24,800 --> 00:30:27,440 Speaker 1: they do to rent their units? They undercut the next 532 00:30:27,480 --> 00:30:33,080 Speaker 1: guy drives the price down. Deflationary What happens when you 533 00:30:33,120 --> 00:30:36,040 Speaker 1: take people out of the labor force that were working 534 00:30:36,080 --> 00:30:38,840 Speaker 1: for cash that the employer didn't have to pay all 535 00:30:38,880 --> 00:30:41,680 Speaker 1: the expenses and the employee didn't have to pay all 536 00:30:41,720 --> 00:30:44,760 Speaker 1: the taxes, and they can pay them cash, so they 537 00:30:44,760 --> 00:30:47,880 Speaker 1: can make more money but cost the restaurant own or less. 538 00:30:48,640 --> 00:30:51,880 Speaker 1: You take that, you take that dynamic out of the kitchen. 539 00:30:52,840 --> 00:30:56,040 Speaker 1: First of all, you got an operational challenge. Secondly, you 540 00:30:56,120 --> 00:31:01,280 Speaker 1: got a real inflationary challenge because you can get Americans 541 00:31:01,280 --> 00:31:03,600 Speaker 1: to work in the kitchen. You just kind to pay 542 00:31:03,600 --> 00:31:06,320 Speaker 1: a lot more than you want to before. But when 543 00:31:06,320 --> 00:31:08,040 Speaker 1: you do that, there's really the only way to see. 544 00:31:08,240 --> 00:31:10,840 Speaker 1: You have to understand. Businesses don't make nearly what you 545 00:31:10,880 --> 00:31:13,360 Speaker 1: think they do. So a lot of people think, well 546 00:31:13,400 --> 00:31:14,800 Speaker 1: they can just pay more money. They make too much 547 00:31:14,840 --> 00:31:18,720 Speaker 1: money anyway, Well, it's not how it works. So they're 548 00:31:18,720 --> 00:31:21,800 Speaker 1: going to have to increase the price. And people are 549 00:31:22,160 --> 00:31:27,120 Speaker 1: very price sensitive, and we're seeing in some industries where 550 00:31:27,120 --> 00:31:29,400 Speaker 1: you're going to have to hire Americans. Now that means 551 00:31:29,400 --> 00:31:31,440 Speaker 1: you got to pay all the taxes we pile on 552 00:31:31,800 --> 00:31:34,320 Speaker 1: and then they got to pay taxes, and so you 553 00:31:34,440 --> 00:31:36,200 Speaker 1: got to make it more money to get people off 554 00:31:36,200 --> 00:31:39,480 Speaker 1: the couch from welfare or whatever. Else they're doing. So 555 00:31:40,240 --> 00:31:45,400 Speaker 1: we close with this story that includes the sympathetic story 556 00:31:45,440 --> 00:31:48,040 Speaker 1: of someone who had to close two food trucks in 557 00:31:48,120 --> 00:31:52,440 Speaker 1: Colony Ridge. Queue up the tiny sad violin that Steve 558 00:31:52,480 --> 00:31:57,560 Speaker 1: Bashamy talked about in pulp fiction. The story from Khou. 559 00:31:58,600 --> 00:32:02,240 Speaker 5: The Texas restaurant industry is the state's largest private employer, 560 00:32:02,600 --> 00:32:03,320 Speaker 5: and they say. 561 00:32:03,120 --> 00:32:04,160 Speaker 1: There's a stress. 562 00:32:06,000 --> 00:32:09,800 Speaker 3: Restaurant or because the you know, the traffic is down. 563 00:32:09,920 --> 00:32:13,160 Speaker 5: A crackdown on immigration is making the problem worse. 564 00:32:13,480 --> 00:32:16,800 Speaker 3: Seeing a great amount of fear among our immigrant population, 565 00:32:17,040 --> 00:32:19,360 Speaker 3: which is doing two things. They're not going out and 566 00:32:19,400 --> 00:32:22,200 Speaker 3: spending money in their local community, and in many cases 567 00:32:22,240 --> 00:32:23,800 Speaker 3: they may not decide to work. 568 00:32:23,920 --> 00:32:27,440 Speaker 5: It's not just restaurants. Hotels, farms and even meat packing 569 00:32:27,520 --> 00:32:30,320 Speaker 5: are affected. People not applying for these jobs. 570 00:32:30,720 --> 00:32:33,280 Speaker 3: We have not seen a major resurgence, especially on the 571 00:32:33,320 --> 00:32:37,000 Speaker 3: agriculture side, of US born workers that are out taking 572 00:32:37,000 --> 00:32:37,560 Speaker 3: these jobs. 573 00:32:37,600 --> 00:32:43,880 Speaker 5: One local restaurant, Biria los Primos, illustrates the impact. Says 574 00:32:43,920 --> 00:32:48,760 Speaker 5: it's not just staffing, it's customers. He says he had 575 00:32:48,800 --> 00:32:50,840 Speaker 5: to shut down four of his food trucks in the 576 00:32:50,920 --> 00:32:54,240 Speaker 5: Houston area. Two of them were in the Colony Ridge, 577 00:32:54,600 --> 00:32:58,840 Speaker 5: an area impacted by immigration rates. He says fear is 578 00:32:58,960 --> 00:33:00,520 Speaker 5: keeping customers. 579 00:33:00,080 --> 00:33:05,000 Speaker 3: Away Without these workers, what happens first is rising prices 580 00:33:05,320 --> 00:33:07,440 Speaker 3: when you don't have the supply chain. 581 00:33:07,480 --> 00:33:07,800 Speaker 2: Movie. 582 00:33:07,880 --> 00:33:11,480 Speaker 5: According to the Texas Restaurant Association, immigrants make up twenty 583 00:33:11,520 --> 00:33:16,080 Speaker 5: two percent of Texas restaurant Workferst not counting undocumented workers 584 00:33:16,240 --> 00:33:17,360 Speaker 5: who are harder to track. 585 00:33:26,040 --> 00:33:27,000 Speaker 1: Oh Struck