1 00:00:00,280 --> 00:00:00,960 Speaker 1: All right, thanks Scot. 2 00:00:01,040 --> 00:00:03,960 Speaker 2: Shown an hour two Sean Hannity Show, Toll free. It 3 00:00:04,000 --> 00:00:05,920 Speaker 2: is eight hundred and nine four one, Shawn, if you 4 00:00:05,960 --> 00:00:10,200 Speaker 2: want to be a part of the program. You can 5 00:00:10,280 --> 00:00:15,720 Speaker 2: almost sense that the pro vaccination, pro mass crowd is 6 00:00:15,840 --> 00:00:17,120 Speaker 2: just like chomping at the bit. 7 00:00:17,560 --> 00:00:17,759 Speaker 1: Oh. 8 00:00:18,000 --> 00:00:22,479 Speaker 2: This is apparently a new COVID strain from China that 9 00:00:22,840 --> 00:00:26,320 Speaker 2: is now beginning to hit the US. Some experts are 10 00:00:26,480 --> 00:00:29,920 Speaker 2: urging people to mask up amid the rising alarm over 11 00:00:30,000 --> 00:00:34,720 Speaker 2: this new COVID variant fears of a summer wave of infections. 12 00:00:35,520 --> 00:00:39,680 Speaker 2: The NB dot one dot eight dot one strain is 13 00:00:39,720 --> 00:00:43,239 Speaker 2: already thought to be driving a wave of infections across 14 00:00:43,320 --> 00:00:47,479 Speaker 2: China and Hi, Hong Kong and Thailand, and along with 15 00:00:47,640 --> 00:00:51,000 Speaker 2: upticks and hospitalizations in the US. There have been fewer 16 00:00:51,000 --> 00:00:53,479 Speaker 2: than twenty cases detected today, by the way, but the 17 00:00:53,520 --> 00:00:58,480 Speaker 2: strain has been detected in travelers arriving in California, Washington State, Virginia, 18 00:00:58,520 --> 00:01:03,000 Speaker 2: New York City, and anyway in Hong Kong. Officials are 19 00:01:03,000 --> 00:01:07,760 Speaker 2: already urging people to mask up while on public transportation 20 00:01:07,880 --> 00:01:11,920 Speaker 2: and crowded places, et cetera, et cetera. This comes on 21 00:01:12,160 --> 00:01:16,680 Speaker 2: the heels of Robert F. Kennedy Junior announcing the COVID 22 00:01:16,760 --> 00:01:21,400 Speaker 2: vaccine has been officially removed from the CDC's recommended immunization 23 00:01:21,640 --> 00:01:24,040 Speaker 2: schedule for healthy kids and pregnant women. 24 00:01:24,200 --> 00:01:26,280 Speaker 1: Listen, Hi, everybody, I'm Robert F. 25 00:01:26,360 --> 00:01:29,120 Speaker 3: Kennedy Junior, your age age as a secretary, and I'm 26 00:01:29,160 --> 00:01:34,080 Speaker 3: here today with NIH Director Doctor J. Bodicharia and FDA 27 00:01:34,120 --> 00:01:35,840 Speaker 3: Commissioner Doctor Marty Mcerry. 28 00:01:36,840 --> 00:01:37,880 Speaker 1: I couldn't be more. 29 00:01:37,720 --> 00:01:41,600 Speaker 3: Pleased to announce that, as of today, the COVID vaccine 30 00:01:41,600 --> 00:01:45,720 Speaker 3: for healthy children and healthy pregnant women has been removed 31 00:01:45,880 --> 00:01:51,360 Speaker 3: from the CDC recommended immunization schedule. Last year, the Biden 32 00:01:51,400 --> 00:01:55,440 Speaker 3: administration urged healthy children to get yet another COVID shot, 33 00:01:55,560 --> 00:01:59,160 Speaker 3: despite the lack of any political data to support the 34 00:01:59,240 --> 00:02:00,920 Speaker 3: repeat strategy, and. 35 00:02:00,960 --> 00:02:05,000 Speaker 1: Children that ends today. It's common sense, that's good science. 36 00:02:05,640 --> 00:02:11,080 Speaker 2: It's almost like they learned nothing from what happened, even though, like, 37 00:02:11,120 --> 00:02:13,520 Speaker 2: for example, what did we learn? We learned that masks 38 00:02:13,639 --> 00:02:17,079 Speaker 2: really did not prevent The one thing that apparently did 39 00:02:17,120 --> 00:02:20,240 Speaker 2: work is using hand sanitizer. It's something I do on 40 00:02:20,280 --> 00:02:24,520 Speaker 2: a regular basis that was actually helpful. We learned from 41 00:02:24,600 --> 00:02:29,320 Speaker 2: multiple studies that, for example, that hydroxychloroquin when taken early 42 00:02:29,480 --> 00:02:34,320 Speaker 2: mitigate symptoms. This was part of the protocol of doctors 43 00:02:34,840 --> 00:02:39,360 Speaker 2: Brian Tyson and George fred I can't tell you how 44 00:02:39,360 --> 00:02:42,040 Speaker 2: many people that I put in touch with them that 45 00:02:42,080 --> 00:02:45,880 Speaker 2: were struggling with issues involving COVID and that they helped 46 00:02:46,120 --> 00:02:49,320 Speaker 2: so many of them. And it's almost like we didn't 47 00:02:49,360 --> 00:02:54,200 Speaker 2: learn a thing about using protocols, nobody. They just stopped 48 00:02:54,240 --> 00:02:57,560 Speaker 2: out of nowhere monoclonal antibodies, which were the one thing 49 00:02:57,600 --> 00:02:59,680 Speaker 2: that I know for a fact every person I know 50 00:02:59,720 --> 00:03:03,400 Speaker 2: that oka it felt better like the next day. Anyway, 51 00:03:03,520 --> 00:03:06,440 Speaker 2: we welcome back doctor Brian Tyson, co author with George 52 00:03:06,440 --> 00:03:11,160 Speaker 2: for Reid of Overcoming the COVID nineteen Darkness, how two 53 00:03:11,240 --> 00:03:17,000 Speaker 2: doctors successfully treated seven thousand patients. And anyway, the Centers 54 00:03:17,000 --> 00:03:19,800 Speaker 2: for Disease Control and Prevention will no longer recommend that 55 00:03:19,880 --> 00:03:24,480 Speaker 2: healthy children pregnant women receive the COVID nineteen vaccine. It's 56 00:03:24,480 --> 00:03:29,040 Speaker 2: still as I understand it, especially the fis of Maderner's shot, 57 00:03:29,160 --> 00:03:33,320 Speaker 2: for example, they're still under emergency authorization, are they not. 58 00:03:33,880 --> 00:03:36,720 Speaker 4: That's correct, Sean, and thanks for having me back. I 59 00:03:36,760 --> 00:03:40,560 Speaker 4: think what we saw yesterday was the first step in 60 00:03:41,000 --> 00:03:45,640 Speaker 4: removing the platform of these m r and A vaccines, 61 00:03:46,320 --> 00:03:48,960 Speaker 4: and I think it's an important step. But at the 62 00:03:48,960 --> 00:03:52,880 Speaker 4: same time, you know, if healthy children and pregnant women 63 00:03:53,600 --> 00:03:56,240 Speaker 4: don't need it, then why would you give it to 64 00:03:56,280 --> 00:04:01,400 Speaker 4: an unhealthy child or unhealthy people whose immune systems are 65 00:04:01,440 --> 00:04:05,520 Speaker 4: already struggling to deal with these mr ANDA vaccines that 66 00:04:05,600 --> 00:04:11,800 Speaker 4: are causing more and more immunosuppression. We're seeing this across 67 00:04:11,840 --> 00:04:15,280 Speaker 4: the board. The patients that are coming into my office 68 00:04:15,880 --> 00:04:20,520 Speaker 4: sick with COVID are the vaccinated, not unvaccinated, And nobody 69 00:04:20,600 --> 00:04:22,480 Speaker 4: wants to have that conversation yet. 70 00:04:23,160 --> 00:04:27,520 Speaker 2: All right, So they rejected the whole notion of natural immunity. 71 00:04:28,000 --> 00:04:31,840 Speaker 2: And even the creator, who I know you're familiar with, 72 00:04:32,520 --> 00:04:35,960 Speaker 2: doctor Robert Malone, was very outspoken and he came on 73 00:04:36,000 --> 00:04:39,839 Speaker 2: this program often. He said that mRNA technology has not 74 00:04:39,960 --> 00:04:46,159 Speaker 2: been perfected. He did support emergency authorization vaccinations for people 75 00:04:46,360 --> 00:04:51,279 Speaker 2: over sixty five that had pre existing conditions and comorbidities 76 00:04:51,640 --> 00:04:53,880 Speaker 2: because they were the ones that were more likely to 77 00:04:53,920 --> 00:04:56,960 Speaker 2: be their lives would be put in jeopardy by the virus. 78 00:04:57,360 --> 00:05:01,080 Speaker 2: He absolutely was crystal clear was not designed for healthy 79 00:05:01,120 --> 00:05:04,800 Speaker 2: people that were younger, meaning below the age of sixty five, 80 00:05:04,920 --> 00:05:08,640 Speaker 2: and it's absolutely not designed for children. Now, he's the 81 00:05:08,680 --> 00:05:11,720 Speaker 2: one that created the technology that allowed for the creation 82 00:05:11,880 --> 00:05:15,320 Speaker 2: of this, and he's saying this, and then he gets excoriated, 83 00:05:15,400 --> 00:05:19,320 Speaker 2: like you got excoriated for trying alternative treatment, which, by 84 00:05:19,360 --> 00:05:22,960 Speaker 2: the way, studies since that time have proven that you 85 00:05:23,040 --> 00:05:28,320 Speaker 2: were right about things like hydroxychloroquin taken early mitigating circumstances. 86 00:05:28,320 --> 00:05:31,520 Speaker 2: How many studies now come out confirming that, How many 87 00:05:31,520 --> 00:05:34,200 Speaker 2: studies have come out showing that mass really didn't help. 88 00:05:34,520 --> 00:05:37,400 Speaker 2: How many studies came out, you know, showing that your 89 00:05:37,440 --> 00:05:40,640 Speaker 2: protocols actually worked. How many patients lives did you save? 90 00:05:41,000 --> 00:05:43,360 Speaker 2: And how many patients did you lose in the process. 91 00:05:44,720 --> 00:05:47,400 Speaker 4: Yeah, I mean, so you're you're one hundred percent correct. 92 00:05:47,480 --> 00:05:50,320 Speaker 4: If you go to the website C nineteen dot org, 93 00:05:51,040 --> 00:05:53,280 Speaker 4: you'll be able to pull up all the different treatments 94 00:05:53,400 --> 00:05:56,640 Speaker 4: in all of the studies that are listed underneath those. 95 00:05:56,880 --> 00:06:00,280 Speaker 4: There's over four hundred studies on hydroxyclorquin. There's over three 96 00:06:00,360 --> 00:06:05,720 Speaker 4: hundred studies on ivermectin. What we found was early treatment 97 00:06:06,640 --> 00:06:09,719 Speaker 4: is the key. It's not about vaccines at this point, 98 00:06:09,720 --> 00:06:14,279 Speaker 4: because these vaccines are not effective actually they're negative effective, 99 00:06:14,960 --> 00:06:17,719 Speaker 4: just like last year's flu shot. Last year's flu shot 100 00:06:17,800 --> 00:06:21,719 Speaker 4: had a negative efficacy of twenty six percent, meaning those 101 00:06:21,760 --> 00:06:24,120 Speaker 4: who got the flu shot were more likely to get 102 00:06:24,120 --> 00:06:27,680 Speaker 4: the flu. It's the same thing with these covid vaccine boosters. 103 00:06:27,760 --> 00:06:31,440 Speaker 2: Well, people don't understand that every year they will they 104 00:06:31,480 --> 00:06:35,960 Speaker 2: will start producing a flu virus. They're guessing what flu 105 00:06:36,120 --> 00:06:39,920 Speaker 2: is likely to hit. They don't know for sure, and 106 00:06:40,120 --> 00:06:43,560 Speaker 2: my understanding is they're wrong seventy five percent of the time, 107 00:06:43,600 --> 00:06:47,400 Speaker 2: and people, you know, annually go get this stupid flu 108 00:06:47,440 --> 00:06:48,120 Speaker 2: shot anyway. 109 00:06:48,800 --> 00:06:51,359 Speaker 4: Yeah, but they made six billion dollars off of it 110 00:06:51,440 --> 00:06:51,960 Speaker 4: last year. 111 00:06:52,480 --> 00:06:53,440 Speaker 5: And that's the. 112 00:06:53,440 --> 00:07:00,159 Speaker 4: Problem when you continuously approve vaccines without data and without research. 113 00:07:00,320 --> 00:07:03,120 Speaker 4: This is where you know the MAHA movement is is 114 00:07:03,360 --> 00:07:06,880 Speaker 4: hopefully he's going to make some ground. You can't continue 115 00:07:07,279 --> 00:07:11,360 Speaker 4: to produce vaccines without seeing the results, and you have 116 00:07:11,480 --> 00:07:16,000 Speaker 4: to start holding the pharmaceutical companies accountable. If you put 117 00:07:16,000 --> 00:07:19,320 Speaker 4: out a bad vaccine, then you shouldn't be making six 118 00:07:19,480 --> 00:07:23,080 Speaker 4: billion dollars off of that bad vaccine. It makes no sense. 119 00:07:23,560 --> 00:07:27,400 Speaker 4: The euas as well, has should have been pulled a 120 00:07:27,400 --> 00:07:31,280 Speaker 4: long time ago when the national state of emergency was removed. 121 00:07:31,760 --> 00:07:34,240 Speaker 4: These shots should have been pulled off the market. There's 122 00:07:34,360 --> 00:07:39,400 Speaker 4: legally no precedent to have these vaccines still being issued 123 00:07:39,480 --> 00:07:41,800 Speaker 4: under emergency use authorization. Makes no sense. 124 00:07:41,960 --> 00:07:43,520 Speaker 1: You see what they're doing already. 125 00:07:43,560 --> 00:07:47,720 Speaker 2: They're saying all hospitalizations in China and Hong Kong and 126 00:07:47,800 --> 00:07:50,680 Speaker 2: Thailand have gone up. But now it's in the US 127 00:07:51,200 --> 00:07:54,880 Speaker 2: and there are people talking about masking up again. And 128 00:07:55,360 --> 00:07:58,600 Speaker 2: is there any evidence that this variant is killing people 129 00:07:58,640 --> 00:07:59,680 Speaker 2: because I have not seen it. 130 00:08:00,680 --> 00:08:00,720 Speaker 5: No. 131 00:08:00,960 --> 00:08:02,600 Speaker 4: I mean, if you look at Hong Kong, which is 132 00:08:02,600 --> 00:08:05,960 Speaker 4: one of the most populated country or cities in the world, 133 00:08:06,480 --> 00:08:11,760 Speaker 4: they've reported thirty deaths from COVID from COVID not necessarily, 134 00:08:12,520 --> 00:08:15,480 Speaker 4: I don't necessarily believe that. I think probably with COVID 135 00:08:15,800 --> 00:08:18,080 Speaker 4: and majority of these people are going to have some 136 00:08:18,120 --> 00:08:23,000 Speaker 4: sort of respiratory problems to begin with. We have not 137 00:08:23,280 --> 00:08:26,440 Speaker 4: seen COVID nineteen in the lungs in over two years, 138 00:08:26,640 --> 00:08:28,760 Speaker 4: and we do chest X rays on our patients that 139 00:08:28,840 --> 00:08:32,240 Speaker 4: come in with COVID and complain of chess symptoms. I 140 00:08:32,280 --> 00:08:35,880 Speaker 4: have not seen COVID pneumonia in over two years, So 141 00:08:36,160 --> 00:08:39,079 Speaker 4: I don't believe it. I don't buy it. Yes, we're 142 00:08:39,120 --> 00:08:43,160 Speaker 4: seeing variants all the time. Again, being in the area 143 00:08:43,240 --> 00:08:45,040 Speaker 4: we are, we see a lot of people that come 144 00:08:45,080 --> 00:08:49,080 Speaker 4: across the border. We've seen multiple variants. We're retired in 145 00:08:49,200 --> 00:08:54,679 Speaker 4: very well with the public health department. But the symptoms 146 00:08:54,720 --> 00:08:57,360 Speaker 4: of COVID nineteen right now are just a head cold. 147 00:08:57,760 --> 00:09:00,440 Speaker 4: It's a headache, it's a natal congestion, and it's a 148 00:09:00,480 --> 00:09:02,400 Speaker 4: sore throat and maybe a little bit of a cough 149 00:09:03,360 --> 00:09:07,040 Speaker 4: and has not traveled farther down from the bronchi that 150 00:09:07,120 --> 00:09:09,480 Speaker 4: we used to see in twenty twenty and twenty twenty one. 151 00:09:09,880 --> 00:09:13,000 Speaker 4: They need to stop playing the fear mongering business. They 152 00:09:13,040 --> 00:09:17,319 Speaker 4: need to get away from these masking and social distancing 153 00:09:17,400 --> 00:09:21,120 Speaker 4: stuff that we're just completely real, unrealistic and proven not 154 00:09:21,200 --> 00:09:24,800 Speaker 4: to be working. You know, we don't want secondary pneumonias 155 00:09:24,800 --> 00:09:28,839 Speaker 4: by wearing masks on everybody. Again, healthy people with the 156 00:09:28,920 --> 00:09:32,280 Speaker 4: vibrant functional immune system are doing just fine. 157 00:09:33,160 --> 00:09:36,280 Speaker 2: What would you tell people, like, for example, I get 158 00:09:36,280 --> 00:09:39,240 Speaker 2: the sense of trying to scare everybody with this variant. 159 00:09:39,679 --> 00:09:42,280 Speaker 2: We don't know that this variant is anything like and 160 00:09:42,320 --> 00:09:46,160 Speaker 2: there's no indication that it is anything like the alpha variant. 161 00:09:45,800 --> 00:09:48,040 Speaker 4: Right, correct, Yeah, this is an oma. 162 00:09:48,480 --> 00:09:51,120 Speaker 2: It seems more in the family of the omicron variant, 163 00:09:51,120 --> 00:09:53,320 Speaker 2: which did not kill people like the alpha variant. 164 00:09:53,679 --> 00:09:56,560 Speaker 4: Right, It's an omicron variant, and that's what everybody needs 165 00:09:56,600 --> 00:09:59,680 Speaker 4: to understand. It's an omicron variant. It's not an outpha, 166 00:09:59,720 --> 00:10:02,440 Speaker 4: it's not a delta variant. It's an omicron variant. And 167 00:10:02,480 --> 00:10:05,080 Speaker 4: those are all oppersiratory infections. 168 00:10:05,360 --> 00:10:06,400 Speaker 1: Okay, okay. 169 00:10:07,080 --> 00:10:10,280 Speaker 2: Oh if somebody called you and they said, oh, I 170 00:10:10,360 --> 00:10:12,320 Speaker 2: just got back from Hong Kong, or I just got 171 00:10:12,360 --> 00:10:17,400 Speaker 2: back from China or Thailand, and I've tested positive for 172 00:10:17,720 --> 00:10:20,040 Speaker 2: this variant, what would you tell them to do. 173 00:10:20,480 --> 00:10:22,120 Speaker 1: You're the doctor, dude, I. 174 00:10:22,080 --> 00:10:24,040 Speaker 4: Tell them, come in be seen. We'll get you on 175 00:10:24,160 --> 00:10:30,680 Speaker 4: a on our protocol with iromictin, hydroxychloricuin z PAK, some zinc, 176 00:10:30,840 --> 00:10:32,000 Speaker 4: vitamin C, and D three. 177 00:10:33,120 --> 00:10:35,800 Speaker 2: How many patients did you treat altogether? I know you 178 00:10:36,280 --> 00:10:38,320 Speaker 2: it was. I think it was well over ten thousand 179 00:10:38,360 --> 00:10:38,880 Speaker 2: by the end. 180 00:10:38,840 --> 00:10:41,880 Speaker 4: Right, we're well over twenty thousand. 181 00:10:41,480 --> 00:10:42,040 Speaker 5: At this point. 182 00:10:42,880 --> 00:10:45,600 Speaker 2: Twenty thousand, okay. How many patients did you lose? If 183 00:10:45,640 --> 00:10:47,839 Speaker 2: you don't mind me asking, So. 184 00:10:47,880 --> 00:10:50,679 Speaker 4: We didn't lose anybody if we started treatment before day seven? 185 00:10:50,920 --> 00:10:54,200 Speaker 2: Not a single person, I mean, And why would and 186 00:10:54,240 --> 00:10:59,760 Speaker 2: why were you excoriated publicly with that track record because. 187 00:10:59,440 --> 00:11:04,960 Speaker 4: People would rather complain in the media than actually come 188 00:11:05,000 --> 00:11:06,679 Speaker 4: to my clinic and see what was going on. 189 00:11:07,640 --> 00:11:09,880 Speaker 2: And didn't they try to go after your license and 190 00:11:10,520 --> 00:11:12,720 Speaker 2: doctor for a doctor for Reed's license. 191 00:11:13,360 --> 00:11:13,959 Speaker 5: Yeah, they did. 192 00:11:13,960 --> 00:11:16,199 Speaker 4: They tried to come after our license. But after we 193 00:11:16,280 --> 00:11:20,839 Speaker 4: had our hearing with the inspector, California dropped all the 194 00:11:22,400 --> 00:11:27,439 Speaker 4: investigations into physicians because they found out the truth behind 195 00:11:27,480 --> 00:11:29,320 Speaker 4: what our therapies were doing. 196 00:11:30,440 --> 00:11:33,120 Speaker 2: And yet you had to spend all this money probably 197 00:11:33,160 --> 00:11:34,439 Speaker 2: on attorneys in the interim. 198 00:11:34,520 --> 00:11:35,520 Speaker 1: Is that not the case. 199 00:11:36,080 --> 00:11:39,719 Speaker 4: That's absolutely correct, Yeah, absolutely correct. But we were vindicated, 200 00:11:39,760 --> 00:11:43,400 Speaker 4: we won, and everyone else was. All those other suits 201 00:11:43,400 --> 00:11:46,079 Speaker 4: were dropped, so we saved you know, tens of thousands 202 00:11:46,160 --> 00:11:50,160 Speaker 4: of dollars to my colleagues who were all also under investigation. 203 00:11:50,360 --> 00:11:51,880 Speaker 4: So you know, if I had to do it again, 204 00:11:51,920 --> 00:11:54,199 Speaker 4: I would, you know all, I mean. 205 00:11:54,440 --> 00:11:58,719 Speaker 2: It speaks volumes about your character. So when people now 206 00:11:58,720 --> 00:12:02,520 Speaker 2: are going to be reading about masking up again and 207 00:12:02,720 --> 00:12:06,839 Speaker 2: that this variant is is we see it increase in hospitalizations? 208 00:12:07,400 --> 00:12:09,400 Speaker 2: I mean, is there any truth to that? Or is 209 00:12:09,400 --> 00:12:10,400 Speaker 2: that just a croc? 210 00:12:11,360 --> 00:12:14,559 Speaker 4: It's a croc, that's a croc Again, you can test 211 00:12:14,559 --> 00:12:16,560 Speaker 4: people who are sick in the hospital and they're going 212 00:12:16,640 --> 00:12:19,640 Speaker 4: to test positive. You know, we we saw that from 213 00:12:19,760 --> 00:12:23,840 Speaker 4: the very get go. They're they're very good at at 214 00:12:23,880 --> 00:12:30,760 Speaker 4: you know, expanding on unproofs to fit a narrative where 215 00:12:30,920 --> 00:12:34,280 Speaker 4: you know, member patients would come in for trauma accidents 216 00:12:34,320 --> 00:12:36,600 Speaker 4: and they would die from trauma, but they would test 217 00:12:36,600 --> 00:12:41,000 Speaker 4: them positive for COVID. You know, patients on hospice care, well, 218 00:12:41,040 --> 00:12:43,840 Speaker 4: they died from end stage cancer, but they tested positive 219 00:12:43,880 --> 00:12:47,360 Speaker 4: for COVID, and all of those COVID deaths were put 220 00:12:47,400 --> 00:12:50,080 Speaker 4: into the Oh, all these people die from COVID and 221 00:12:50,160 --> 00:12:53,679 Speaker 4: the first eighty thousand of them also were coinfected with 222 00:12:53,720 --> 00:12:56,640 Speaker 4: the flu. You know, we did that, We did that 223 00:12:57,040 --> 00:13:01,040 Speaker 4: new special and you know, it's it just goes to 224 00:13:01,320 --> 00:13:05,760 Speaker 4: show that the government right now is more about controlling 225 00:13:05,840 --> 00:13:08,079 Speaker 4: and narrative than seeking the truth. 226 00:13:09,200 --> 00:13:12,320 Speaker 2: But would you agree that in the beginning, especially the 227 00:13:12,360 --> 00:13:16,720 Speaker 2: alpha and beta strains, that this was a real threat 228 00:13:17,080 --> 00:13:22,079 Speaker 2: to people that were older, pre existing conditions, comorbidities. I mean, 229 00:13:22,200 --> 00:13:25,079 Speaker 2: there were people dying from this and we had no 230 00:13:25,280 --> 00:13:27,040 Speaker 2: earthly idea what to do at that time. 231 00:13:27,480 --> 00:13:31,280 Speaker 1: So that part is true, right, Well, we. 232 00:13:31,320 --> 00:13:34,040 Speaker 4: Knew what to do, Sean. And that's the thing. We 233 00:13:34,120 --> 00:13:37,760 Speaker 4: knew what to do because we saw far as one 234 00:13:38,080 --> 00:13:41,719 Speaker 4: in two thousand and five. That's the problem I have 235 00:13:41,880 --> 00:13:44,280 Speaker 4: with all of this. We knew what to do. That's 236 00:13:44,280 --> 00:13:47,520 Speaker 4: why when this came around, we have our treatment protocols 237 00:13:47,559 --> 00:13:50,840 Speaker 4: already in place. The research have been done. We knew 238 00:13:50,840 --> 00:13:54,640 Speaker 4: that hydroxy colorquin was effective. We know that the secondary 239 00:13:54,679 --> 00:13:57,360 Speaker 4: pneumonia is a problem. We know how to treat in 240 00:13:57,440 --> 00:14:02,400 Speaker 4: planmatory responses. We know that uh steroids work with inflammation. 241 00:14:03,040 --> 00:14:07,319 Speaker 4: We know that monocle antibodies are are readily available. If 242 00:14:07,360 --> 00:14:11,040 Speaker 4: we decide to manufacture then you know. But but the 243 00:14:11,080 --> 00:14:13,600 Speaker 4: government chose to go a different route. 244 00:14:14,040 --> 00:14:16,080 Speaker 2: I give you a lot of credit, doctor Tyson. You 245 00:14:16,160 --> 00:14:20,520 Speaker 2: are a pioneer and you you clearly help lead the way. 246 00:14:20,600 --> 00:14:23,280 Speaker 2: And I hope, I hope people. I don't think this 247 00:14:23,360 --> 00:14:25,360 Speaker 2: country has learned from it, you know, and we'll have 248 00:14:25,440 --> 00:14:27,360 Speaker 2: to depend on people like you in the future. 249 00:14:27,800 --> 00:14:28,000 Speaker 6: Yeah. 250 00:14:28,040 --> 00:14:30,960 Speaker 4: I mean, we set up the mobile clinics scenario that 251 00:14:31,040 --> 00:14:35,640 Speaker 4: Joebtoppo started in Florida with Ronda Santas. Yeah, that was 252 00:14:35,680 --> 00:14:40,640 Speaker 4: great center, you know, and that was all monoclonal antibody 253 00:14:40,720 --> 00:14:44,400 Speaker 4: driven is free for everybody in the free state of Florida, 254 00:14:44,440 --> 00:14:45,160 Speaker 4: where I now live. 255 00:14:45,240 --> 00:14:49,840 Speaker 2: Free anybody, anybody in Florida got free monoclonal antibodies if 256 00:14:49,840 --> 00:14:51,280 Speaker 2: they needed it, when they had them, and then they 257 00:14:51,280 --> 00:14:53,360 Speaker 2: cut them off. Then Joe Biden just cut them off, 258 00:14:53,920 --> 00:14:57,040 Speaker 2: all right. We appreciate you, doctor Brian Tyson, along with 259 00:14:57,120 --> 00:15:01,840 Speaker 2: George for Reid, writing the book Overcome the COVID nineteen Darkness, 260 00:15:01,840 --> 00:15:06,520 Speaker 2: How two doctors successfully treated now twenty thousand plus patients. 261 00:15:07,040 --> 00:15:10,080 Speaker 2: And if you want more information, we'll put it on 262 00:15:10,120 --> 00:15:12,720 Speaker 2: our website for people so you can get a hold 263 00:15:12,720 --> 00:15:16,120 Speaker 2: of it. But I'm not letting people put us in 264 00:15:16,160 --> 00:15:19,400 Speaker 2: a state of panic ever again. That's sick and getting sicker. 265 00:15:19,440 --> 00:15:22,280 Speaker 2: But hopefully we are on the road to recovery. Eight 266 00:15:22,400 --> 00:15:24,560 Speaker 2: hundred and nine four one, Shawn our number. You want 267 00:15:24,560 --> 00:15:27,840 Speaker 2: to be a part of the program. I can't believe 268 00:15:28,160 --> 00:15:32,920 Speaker 2: my lying eyes. It has been probably two years since 269 00:15:32,960 --> 00:15:35,120 Speaker 2: we have heard from Velma in Vegas. 270 00:15:35,320 --> 00:15:37,640 Speaker 1: Is it about two years with Velma? How are you? 271 00:15:38,040 --> 00:15:40,680 Speaker 5: I believe it is? I'm doing good? How you doing? 272 00:15:43,440 --> 00:15:46,280 Speaker 2: You have not changed one bit, although I'd be lying 273 00:15:46,640 --> 00:15:49,040 Speaker 2: to this audience, which I will never do, unlike the 274 00:15:49,120 --> 00:15:53,680 Speaker 2: legacy state run media mob. But I have been in 275 00:15:53,720 --> 00:15:58,080 Speaker 2: regular touch with you, and I'm glad you're doing well. 276 00:15:58,280 --> 00:15:59,880 Speaker 2: I don't know if you want to talk about it, 277 00:16:00,400 --> 00:16:01,440 Speaker 2: but you've been through a lot. 278 00:16:01,800 --> 00:16:04,360 Speaker 5: I've been through a lot, but you was wrecked there. 279 00:16:04,600 --> 00:16:06,960 Speaker 5: I'm telling you. I am so thankful for you and 280 00:16:07,000 --> 00:16:12,400 Speaker 5: my family. Yeah. I've been through cancer, bad cancer, and 281 00:16:12,600 --> 00:16:15,240 Speaker 5: Sean know all about it, and he's been supportive. And 282 00:16:15,600 --> 00:16:17,440 Speaker 5: I don't know what show want me tell you all this, 283 00:16:17,560 --> 00:16:21,320 Speaker 5: but he talked to doctors, nurses, fasten. 284 00:16:21,080 --> 00:16:25,320 Speaker 1: Them out, No, tell you can tell everybody everything. 285 00:16:25,360 --> 00:16:27,440 Speaker 2: You yelled at me for making you get on an 286 00:16:27,480 --> 00:16:29,320 Speaker 2: airplane to go see other doctors. 287 00:16:29,440 --> 00:16:32,240 Speaker 1: You yelled at me. You do remember that, right, Yes, 288 00:16:32,480 --> 00:16:33,600 Speaker 1: I did that. I saw. 289 00:16:33,720 --> 00:16:35,600 Speaker 2: I sent you to my doctors because I didn't like 290 00:16:35,640 --> 00:16:36,520 Speaker 2: your doctors. 291 00:16:36,800 --> 00:16:39,520 Speaker 5: Yeah, I know, but and I thank you, I thank you, 292 00:16:39,760 --> 00:16:40,400 Speaker 5: and I thank you. 293 00:16:40,480 --> 00:16:42,880 Speaker 2: I made But you weren't thinking me at the time 294 00:16:42,920 --> 00:16:44,359 Speaker 2: you were cussing me out. 295 00:16:44,720 --> 00:16:47,560 Speaker 5: I was not. You know, I don't even curse Sean. 296 00:16:48,720 --> 00:16:51,520 Speaker 2: Well, you were You're let's just say you were rather angry. 297 00:16:51,640 --> 00:16:52,720 Speaker 2: Is that a fair statement. 298 00:16:53,000 --> 00:16:56,000 Speaker 5: Yeah? Yeah, But that chemo that Chimo liked to kill 299 00:16:56,080 --> 00:16:57,000 Speaker 5: me you know that. 300 00:16:57,320 --> 00:16:58,960 Speaker 1: But I talked. 301 00:16:59,080 --> 00:17:00,960 Speaker 2: I talked to you, right, and I was talking to 302 00:17:01,000 --> 00:17:05,199 Speaker 2: my nephews, my adopted nephews regularly, and keeping track of 303 00:17:05,240 --> 00:17:07,639 Speaker 2: you regularly and making sure you're okay. 304 00:17:08,560 --> 00:17:10,840 Speaker 5: You did you did, You did a lot for me, 305 00:17:11,400 --> 00:17:13,560 Speaker 5: and I appreciate it, and I thank you, and I 306 00:17:13,600 --> 00:17:16,560 Speaker 5: thank doctor Dort. I thank you guys. So now I 307 00:17:16,600 --> 00:17:18,200 Speaker 5: can start telling my story. 308 00:17:18,600 --> 00:17:20,479 Speaker 2: You can tell your story, tell whatever you want. I mean, 309 00:17:20,520 --> 00:17:22,840 Speaker 2: first of all, thank god you're okay. It was it 310 00:17:22,880 --> 00:17:24,840 Speaker 2: was a little touch and go for a while, and Tholma, 311 00:17:24,920 --> 00:17:26,240 Speaker 2: you scared me. I'm not gonna lie. 312 00:17:26,440 --> 00:17:29,560 Speaker 5: I know everybody, you know what. Even the doctor's down here. 313 00:17:29,560 --> 00:17:31,280 Speaker 5: They didn't think I was gonna make it. But look 314 00:17:31,320 --> 00:17:35,520 Speaker 5: at me. Nobody but God, nobody but Jesus. Thank you 315 00:17:35,680 --> 00:17:38,240 Speaker 5: and you Sean. You know how much I loved you. 316 00:17:38,520 --> 00:17:39,679 Speaker 5: I can't well. 317 00:17:39,720 --> 00:17:41,560 Speaker 2: Then why did you yell at me when I made 318 00:17:41,600 --> 00:17:43,120 Speaker 2: you go see better doctors? 319 00:17:43,400 --> 00:17:48,679 Speaker 5: My children and myself. You have been some kind of friend. 320 00:17:48,200 --> 00:17:52,160 Speaker 5: You are a wonderful man. I'm telling you people, this 321 00:17:52,240 --> 00:17:55,760 Speaker 5: man is on it's time. This man has done so 322 00:17:55,920 --> 00:17:58,639 Speaker 5: much he don't talk about and I don't know what 323 00:17:58,720 --> 00:18:01,560 Speaker 5: I can talk about. But I'm just killing you. This 324 00:18:01,640 --> 00:18:04,600 Speaker 5: man loves the Lord, and I'm so happy for him. 325 00:18:04,640 --> 00:18:07,439 Speaker 5: He's getting and he's engaged. I'm happy for him. I 326 00:18:07,440 --> 00:18:10,760 Speaker 5: want him to be happy. He deserves it. I love it. 327 00:18:10,840 --> 00:18:14,479 Speaker 2: Well, listen, I'm just I'm just happy you're well. And 328 00:18:14,560 --> 00:18:17,280 Speaker 2: even though you gave me a hard time, and when 329 00:18:17,280 --> 00:18:19,960 Speaker 2: I tried to get you to do more rehab and 330 00:18:20,080 --> 00:18:23,360 Speaker 2: insisted that people help you, you didn't particularly like that 331 00:18:23,520 --> 00:18:27,600 Speaker 2: aspect of it. Linda, I'll bring Linda to Linda. Should 332 00:18:27,640 --> 00:18:29,560 Speaker 2: you know. She gave me a hard time on every 333 00:18:29,600 --> 00:18:32,399 Speaker 2: step of the way. I mean, she battled me every 334 00:18:32,560 --> 00:18:33,320 Speaker 2: step of the way. 335 00:18:33,760 --> 00:18:36,080 Speaker 5: Well sometimes I was out of it. I was out 336 00:18:36,119 --> 00:18:37,639 Speaker 5: of it, and you know it. I didn't even know. 337 00:18:37,840 --> 00:18:39,880 Speaker 5: I had to learn to walk, I have to learn 338 00:18:39,920 --> 00:18:41,679 Speaker 5: to do all that over. That's well. 339 00:18:41,760 --> 00:18:44,879 Speaker 2: But but but but we got the right people to 340 00:18:45,000 --> 00:18:47,240 Speaker 2: help you, and that was important that you have the 341 00:18:47,359 --> 00:18:48,639 Speaker 2: right people to help you. 342 00:18:49,320 --> 00:18:52,800 Speaker 5: My caregiver, thank you. My caregiver is right here with 343 00:18:52,840 --> 00:18:56,760 Speaker 5: me now. But after society, I will not no longer 344 00:18:56,840 --> 00:18:59,000 Speaker 5: need a caregiver. I can take care of myself. Thank 345 00:18:59,040 --> 00:19:00,679 Speaker 5: you very much. John. Annity. 346 00:19:02,840 --> 00:19:07,439 Speaker 2: By the way, uh did she I remember you? You 347 00:19:07,520 --> 00:19:10,080 Speaker 2: also got upset. Didn't I yell at somebody? Who did 348 00:19:10,080 --> 00:19:14,800 Speaker 2: I yell at I yelled at somebody, nurses, you yelled 349 00:19:14,800 --> 00:19:15,560 Speaker 2: at everybody. 350 00:19:16,280 --> 00:19:18,439 Speaker 1: I didn't yell. I just was insistent. 351 00:19:18,600 --> 00:19:22,080 Speaker 2: I was persistent and insistent that you get the proper care. 352 00:19:22,560 --> 00:19:24,720 Speaker 5: I know you upset because I didn't want to go 353 00:19:24,760 --> 00:19:27,119 Speaker 5: back in the hospital because I stayed in the hospital 354 00:19:27,560 --> 00:19:28,840 Speaker 5: and I didn't want to go back. 355 00:19:29,560 --> 00:19:32,680 Speaker 2: And oh that that was not a good day. When 356 00:19:32,720 --> 00:19:35,040 Speaker 2: you didn't want to go back, That was not a 357 00:19:35,080 --> 00:19:35,560 Speaker 2: good day. 358 00:19:36,240 --> 00:19:38,679 Speaker 5: I don't remember half of it, but people say, you 359 00:19:38,680 --> 00:19:41,640 Speaker 5: were yelling and screaming at the man. What the man, 360 00:19:41,760 --> 00:19:43,600 Speaker 5: the man, the under the man that cake. 361 00:19:43,560 --> 00:19:48,119 Speaker 2: Took me to the hospital, Not the undertaker, No, the 362 00:19:48,720 --> 00:19:53,320 Speaker 2: ambulance guy. Meanwhile, you're you're you're literally on the precipice 363 00:19:53,359 --> 00:19:57,119 Speaker 2: of dying. And I'm like, get her in that ambulance now, 364 00:19:57,880 --> 00:20:00,399 Speaker 2: or I will sue you. That's what I said. And 365 00:20:00,440 --> 00:20:02,879 Speaker 2: I don't regret saying it. I would do it again 366 00:20:03,160 --> 00:20:05,119 Speaker 2: tomorrow because it was the right thing to do. 367 00:20:05,520 --> 00:20:08,560 Speaker 5: It was and I appreciate you and will And even 368 00:20:08,560 --> 00:20:10,720 Speaker 5: though you said Will, I don't like you, that's not true. 369 00:20:11,000 --> 00:20:13,480 Speaker 1: And it never talks to me. Your husband has talked 370 00:20:13,520 --> 00:20:15,400 Speaker 1: to me one time like and said. 371 00:20:15,160 --> 00:20:18,480 Speaker 5: Hello, Yeah, I had a conversation. You probably don't remember. 372 00:20:18,520 --> 00:20:20,960 Speaker 5: You're dissing the hand. I had a converse. 373 00:20:21,040 --> 00:20:23,440 Speaker 2: By the way, all we haven't even got to discuss. 374 00:20:23,480 --> 00:20:27,520 Speaker 2: Aren't you glad my buddy Donald Trump won? Aren't you happy? 375 00:20:29,200 --> 00:20:33,200 Speaker 5: Yeah? 376 00:20:33,320 --> 00:20:36,680 Speaker 1: Yeah, oh my gosh, Hella Lujah's right? Thank god? 377 00:20:37,040 --> 00:20:39,760 Speaker 2: And what do you think about it turns out Sean 378 00:20:39,800 --> 00:20:42,640 Speaker 2: Hannity was right about Joe Biden being a cognitive mess 379 00:20:42,640 --> 00:20:44,560 Speaker 2: and you used to tell me to lay off Joe Biden, 380 00:20:44,600 --> 00:20:45,840 Speaker 2: and it turns out I was right. 381 00:20:45,880 --> 00:20:47,280 Speaker 1: So I think you owe me an apology. 382 00:20:47,400 --> 00:20:50,080 Speaker 5: Well you know what, you know what, now that was 383 00:20:50,160 --> 00:20:52,080 Speaker 5: an issue, that was an issue. 384 00:20:52,200 --> 00:20:55,200 Speaker 2: Well listen, I know you've been through a lot, and 385 00:20:55,680 --> 00:20:57,919 Speaker 2: we didn't tell the audience a lot about it. But 386 00:20:58,160 --> 00:21:02,800 Speaker 2: now that you're back, we're so happy. Thank god, you're okay, 387 00:21:03,240 --> 00:21:05,960 Speaker 2: and I mean that and we love you, and we're 388 00:21:06,000 --> 00:21:09,600 Speaker 2: proud of Anthony just graduated, Marcel is graduating. The boys 389 00:21:09,600 --> 00:21:13,320 Speaker 2: are doing great. They have chosen great careers. They've really 390 00:21:13,359 --> 00:21:16,359 Speaker 2: grown up and matured in a great way. Uncle Sean 391 00:21:16,400 --> 00:21:19,240 Speaker 2: occasionally had to come down on them too, and how 392 00:21:19,240 --> 00:21:21,000 Speaker 2: tough was I on them at different times. 393 00:21:21,440 --> 00:21:24,359 Speaker 5: That's right, and you need to keep doing it you. 394 00:21:24,880 --> 00:21:28,120 Speaker 1: Oh boy, this is a this is a lifelong job 395 00:21:28,160 --> 00:21:28,399 Speaker 1: for me. 396 00:21:28,720 --> 00:21:31,240 Speaker 5: Huh. You know I told you God brought you into 397 00:21:31,320 --> 00:21:34,359 Speaker 5: my life and you know it too, and you're stuck 398 00:21:34,440 --> 00:21:35,400 Speaker 5: with us forever. 399 00:21:37,320 --> 00:21:39,720 Speaker 2: Linda, you're not even saying a word here. You got 400 00:21:39,720 --> 00:21:40,680 Speaker 2: to help me out of this. 401 00:21:40,920 --> 00:21:42,119 Speaker 1: Oh, Velma's gotta cover it. 402 00:21:42,160 --> 00:21:43,280 Speaker 3: I don't need to interrupt them. 403 00:21:43,359 --> 00:21:46,040 Speaker 1: I learned that a long time ago. I know, ten 404 00:21:46,160 --> 00:21:47,240 Speaker 1: years now at least. 405 00:21:47,480 --> 00:21:50,560 Speaker 2: Yeah, we're just Velma, we love you. We're so happy 406 00:21:50,720 --> 00:21:53,200 Speaker 2: that you get you're well. You did give me a scare. 407 00:21:53,760 --> 00:21:55,480 Speaker 2: And if I was if I was a little tough 408 00:21:55,520 --> 00:21:59,520 Speaker 2: on you and a little tough on people that were 409 00:21:59,520 --> 00:22:01,880 Speaker 2: taking care of you because I didn't like what they 410 00:22:01,880 --> 00:22:04,920 Speaker 2: were doing, I'm not going to apologize for it. 411 00:22:05,200 --> 00:22:06,720 Speaker 1: I because I'm. 412 00:22:06,520 --> 00:22:09,640 Speaker 5: Glad I called COVID. You really had a fit because 413 00:22:09,680 --> 00:22:11,960 Speaker 5: I never had COVID. I caught it when I was 414 00:22:11,960 --> 00:22:15,800 Speaker 5: in that REAC center. And you remember you, Yeah, you you, 415 00:22:15,880 --> 00:22:19,040 Speaker 5: thank you, thank you, thank you, thank you, thank you. 416 00:22:19,040 --> 00:22:20,680 Speaker 5: You are a you my hero. 417 00:22:20,840 --> 00:22:24,679 Speaker 2: And I listen, I just fight for the people that 418 00:22:24,760 --> 00:22:27,639 Speaker 2: I love. Look at it that way, and and I 419 00:22:27,680 --> 00:22:30,159 Speaker 2: don't apologe. Listen, if you're not your own, if you 420 00:22:30,160 --> 00:22:32,800 Speaker 2: don't have a patient advocate in the medical system and 421 00:22:32,880 --> 00:22:36,320 Speaker 2: somebody that's going to hold people accountable, you know you're 422 00:22:36,359 --> 00:22:38,600 Speaker 2: going to get passed over. You're going to be you know, 423 00:22:38,800 --> 00:22:41,200 Speaker 2: just the number in their mind, and you're not a 424 00:22:41,320 --> 00:22:43,600 Speaker 2: number in my mind. And as I kept as I 425 00:22:43,640 --> 00:22:46,120 Speaker 2: told you from day one, you're going to live. Your 426 00:22:46,160 --> 00:22:48,960 Speaker 2: boys need you, and I need you to give me 427 00:22:49,000 --> 00:22:51,280 Speaker 2: a hard time on radio. So I know you've been 428 00:22:51,320 --> 00:22:53,520 Speaker 2: through a lot. We're very proud that you and I 429 00:22:53,600 --> 00:22:56,040 Speaker 2: told you we would get to this point. I said, 430 00:22:56,119 --> 00:22:58,480 Speaker 2: I told you it wasn't going to be easy. I 431 00:22:58,560 --> 00:23:00,880 Speaker 2: knew you'd have to go through a lot. I made 432 00:23:00,960 --> 00:23:03,800 Speaker 2: you do things like get on airplanes and see other doctors, 433 00:23:03,880 --> 00:23:06,159 Speaker 2: and I made you get nurses, and I made you 434 00:23:06,200 --> 00:23:07,960 Speaker 2: do a lot of rehabit I made you do a 435 00:23:07,960 --> 00:23:09,320 Speaker 2: lot of things you don't want to do it. But 436 00:23:09,400 --> 00:23:12,280 Speaker 2: I don't apologize because you're here and now you get 437 00:23:12,320 --> 00:23:14,040 Speaker 2: to give me a hard time and pay me back. 438 00:23:14,720 --> 00:23:17,159 Speaker 5: I'm glad you were there. I will never ever be 439 00:23:17,240 --> 00:23:19,800 Speaker 5: able to I'm indebted to you forever. 440 00:23:20,200 --> 00:23:22,360 Speaker 2: Now you're not indebted to anything, you know what, and 441 00:23:22,400 --> 00:23:25,040 Speaker 2: thank the good Lord. You're okay, all right, but we're 442 00:23:25,040 --> 00:23:27,879 Speaker 2: going to continue. We're going back to our political discussions. 443 00:23:27,880 --> 00:23:30,719 Speaker 2: This isn't fun. I'm just I just want to celebrate 444 00:23:31,119 --> 00:23:34,800 Speaker 2: your healing and you're one hundred percent recovered and you're 445 00:23:34,800 --> 00:23:36,280 Speaker 2: doing well, and. 446 00:23:36,560 --> 00:23:40,159 Speaker 1: Thank God for that free cancer free answer free. 447 00:23:40,320 --> 00:23:41,800 Speaker 2: I mean, you made it. And by the way, the 448 00:23:41,920 --> 00:23:44,000 Speaker 2: odds were not in your favor in the beginning. 449 00:23:44,280 --> 00:23:46,520 Speaker 5: I'm no, I never. 450 00:23:46,359 --> 00:23:48,520 Speaker 2: Told you how nervous I really was. I just kept 451 00:23:48,520 --> 00:23:50,880 Speaker 2: that to myself. I just that's why you did. 452 00:23:51,119 --> 00:23:53,480 Speaker 5: I could tell you were You've been so good to me, 453 00:23:53,880 --> 00:23:55,720 Speaker 5: and I'm so thankful, so thankfus. 454 00:23:55,720 --> 00:23:57,679 Speaker 2: How great is the doctor that I sent you to. 455 00:23:58,480 --> 00:24:01,720 Speaker 2: The doctor picked you up at the airport, The doctor 456 00:24:01,840 --> 00:24:04,520 Speaker 2: put you up in his house. The doctor gave you 457 00:24:04,600 --> 00:24:09,160 Speaker 2: the best, latest, greatest medical technology and treatment, and. 458 00:24:09,080 --> 00:24:12,560 Speaker 1: You would treat you were treated like a princess. 459 00:24:13,359 --> 00:24:16,600 Speaker 5: And hey, I know how the other world feels now. 460 00:24:16,920 --> 00:24:17,760 Speaker 5: I stayed. 461 00:24:19,880 --> 00:24:22,800 Speaker 1: Well, I would I do that for anybody allowed. 462 00:24:22,520 --> 00:24:26,520 Speaker 5: At the pool. Everything was first class. People came to 463 00:24:26,560 --> 00:24:30,199 Speaker 5: master kicked me up. You did that, you you did that, 464 00:24:30,440 --> 00:24:32,720 Speaker 5: Thank you well. 465 00:24:32,600 --> 00:24:34,680 Speaker 2: You weren't thanking me at the time in case you're 466 00:24:34,720 --> 00:24:37,359 Speaker 2: you're the drugs. You know somehow messed up your memory. 467 00:24:37,400 --> 00:24:46,359 Speaker 2: You were a little bit let's say, resistant, reluctant, unruly times. 468 00:24:47,000 --> 00:24:48,800 Speaker 2: I mean, you gave me, you gave me a hard 469 00:24:48,840 --> 00:24:50,800 Speaker 2: time for just trying to help you. 470 00:24:50,840 --> 00:24:53,760 Speaker 5: But one night, those people couldn't get my vain and 471 00:24:53,880 --> 00:24:56,200 Speaker 5: you were telling me, you were telling me letter. 472 00:24:56,400 --> 00:24:59,280 Speaker 2: I remember that night, you remember that. I kept saying, 473 00:24:59,359 --> 00:25:03,280 Speaker 2: try again, try again. I said, you've got to get 474 00:25:03,280 --> 00:25:03,800 Speaker 2: her blood. 475 00:25:03,960 --> 00:25:05,600 Speaker 5: A hard knight. That was hard. 476 00:25:05,720 --> 00:25:06,480 Speaker 1: I was a hard knight. 477 00:25:06,520 --> 00:25:08,800 Speaker 2: But I got we got the blood, and they didn't 478 00:25:08,840 --> 00:25:11,000 Speaker 2: want to try anymore. And I said, oh no, bring 479 00:25:11,040 --> 00:25:12,840 Speaker 2: in your what do you call it? Was it a 480 00:25:12,840 --> 00:25:16,640 Speaker 2: phlebottomist calling that person calling the blood person? I want 481 00:25:16,640 --> 00:25:19,399 Speaker 2: the professional. I want to know who's the lead doctor 482 00:25:19,440 --> 00:25:20,240 Speaker 2: on duty right now. 483 00:25:20,280 --> 00:25:20,720 Speaker 1: I want to know. 484 00:25:20,800 --> 00:25:23,399 Speaker 2: And that's how I roll. And I just don't start pressing. 485 00:25:23,400 --> 00:25:26,000 Speaker 2: I don't stop pressing. I'm unrelenty, no. 486 00:25:26,160 --> 00:25:29,040 Speaker 5: I know it. I thank you. I can't thank you enough. 487 00:25:29,320 --> 00:25:31,639 Speaker 5: You made life a lot better for us, and I 488 00:25:31,720 --> 00:25:32,600 Speaker 5: appreciate him. 489 00:25:33,280 --> 00:25:35,760 Speaker 2: You know what, You just keep being the great mom 490 00:25:35,800 --> 00:25:39,320 Speaker 2: you are and the person you are, and Donald Trump's president. 491 00:25:39,359 --> 00:25:41,760 Speaker 2: I want you to celebrate our new president with me, 492 00:25:42,000 --> 00:25:43,840 Speaker 2: and we'll talk about that the next time. 493 00:25:44,600 --> 00:25:47,000 Speaker 1: Okay, I love you, Love you back. 494 00:25:47,080 --> 00:25:51,000 Speaker 2: I'm glad you're okay, and kiss the boys. Unbelievable, Linda. 495 00:25:51,040 --> 00:25:52,440 Speaker 2: I don't think I did I keep you in the 496 00:25:52,480 --> 00:25:54,840 Speaker 2: loop on all this. I don't think I did. I 497 00:25:54,880 --> 00:25:56,320 Speaker 2: know you were wherever I missed. 498 00:25:56,320 --> 00:25:58,840 Speaker 3: I just got the update, as did you know thirty 499 00:25:58,880 --> 00:25:59,600 Speaker 3: million other people. 500 00:25:59,680 --> 00:26:03,800 Speaker 1: So well, the thing is she made it hard to 501 00:26:03,880 --> 00:26:06,480 Speaker 1: help her. Well, I means she makes it hard because 502 00:26:06,480 --> 00:26:08,400 Speaker 1: she's a liberal. That's her job. They make things hard. 503 00:26:08,760 --> 00:26:10,800 Speaker 2: All right, quick break, right back to our phones. We're 504 00:26:10,840 --> 00:26:13,720 Speaker 2: glad Velma's well on the other side. Eight hundred and 505 00:26:13,760 --> 00:26:15,679 Speaker 2: ninety four one, Sean, if you want to be a 506 00:26:15,680 --> 00:26:17,960 Speaker 2: part of the program as we continue, all right, back 507 00:26:18,000 --> 00:26:21,320 Speaker 2: to our busy phones, Don and Iowa. Next, Sean Hennity Show. 508 00:26:21,320 --> 00:26:22,760 Speaker 2: What's up, Don? How are you hi? 509 00:26:22,880 --> 00:26:23,160 Speaker 5: Sean? 510 00:26:23,280 --> 00:26:27,800 Speaker 6: Thank you for taking my call. Congratulations to Velma, and 511 00:26:28,200 --> 00:26:30,920 Speaker 6: may she continue to be cancer free for the rest 512 00:26:30,920 --> 00:26:31,920 Speaker 6: of her days. 513 00:26:32,480 --> 00:26:34,960 Speaker 1: Amen, I agree, this was a rough one. 514 00:26:35,680 --> 00:26:38,520 Speaker 6: Yes, I'm sure my mom just went through similar if 515 00:26:38,520 --> 00:26:42,920 Speaker 6: you just a couple of years back. So I'm in Texas. 516 00:26:42,960 --> 00:26:46,040 Speaker 1: I'm a truck driver over the road, yes, sir, and 517 00:26:46,640 --> 00:26:47,159 Speaker 1: I love that. 518 00:26:47,320 --> 00:26:54,240 Speaker 6: I well, I appreciate it. I thanks for keeping the 519 00:26:54,320 --> 00:26:57,440 Speaker 6: word out about ours drivers and what we go through 520 00:26:57,480 --> 00:27:00,399 Speaker 6: every day, because a lot of people still failed to 521 00:27:00,480 --> 00:27:04,119 Speaker 6: understand it. So it's always appreciated. But that's not what 522 00:27:04,200 --> 00:27:07,119 Speaker 6: I called for. I called because of all of this 523 00:27:07,359 --> 00:27:12,160 Speaker 6: auto pen news. You've been at the front of all 524 00:27:12,160 --> 00:27:16,800 Speaker 6: of this, uh, Joe Biden not being cognitive enough to 525 00:27:18,080 --> 00:27:22,520 Speaker 6: cognitive enough to tie his own shoes and uh so 526 00:27:22,720 --> 00:27:26,439 Speaker 6: it was obvious early on. But this coup that the 527 00:27:26,520 --> 00:27:31,240 Speaker 6: Democrats continue to bush started, you know, back with Hillary, 528 00:27:31,800 --> 00:27:37,600 Speaker 6: you know, purchasing the uh, the rights to run for 529 00:27:37,720 --> 00:27:44,120 Speaker 6: president by loaning the Democrat National Committee thirty five million dollars. Uh, 530 00:27:44,160 --> 00:27:48,520 Speaker 6: Lieutenant Colonel Vindaman lying saying the president, you know, threatened 531 00:27:49,040 --> 00:27:53,600 Speaker 6: the president of Ukraine. Everything is just a continuous coup 532 00:27:53,840 --> 00:27:58,000 Speaker 6: with these people. Now the auto pen is pretty much, 533 00:27:58,840 --> 00:28:03,560 Speaker 6: pardon the pun, the coup ra because that was absolute 534 00:28:03,720 --> 00:28:06,119 Speaker 6: stealing a presidential powers. 535 00:28:06,720 --> 00:28:09,520 Speaker 2: And well, well we're going to have James Comer on tonight, 536 00:28:09,840 --> 00:28:14,640 Speaker 2: as we've been telling you, and I want a full investigation. 537 00:28:15,040 --> 00:28:17,200 Speaker 1: I want to know who knew what and when. 538 00:28:18,119 --> 00:28:22,080 Speaker 2: James Comer's demanding that the key presidential aids testify about this, 539 00:28:22,680 --> 00:28:26,720 Speaker 2: you know, Biden cognitive cover up. Evidence mounting that Biden 540 00:28:26,800 --> 00:28:30,120 Speaker 2: officials use that auto pen to sign executive orders without 541 00:28:30,160 --> 00:28:33,360 Speaker 2: the President's knowledge, and they've got to account for their 542 00:28:33,400 --> 00:28:38,239 Speaker 2: actions because the party that claim democracy's in peril was 543 00:28:38,280 --> 00:28:42,040 Speaker 2: the most undemocratic of them all. The biggest scandal in 544 00:28:42,160 --> 00:28:46,680 Speaker 2: presidential history, the biggest cover up in presidential history. 545 00:28:46,760 --> 00:28:47,840 Speaker 1: We're not giving up on it. 546 00:28:48,520 --> 00:28:51,200 Speaker 2: Listen, don thank you and all your fellow truckers for 547 00:28:51,320 --> 00:28:54,600 Speaker 2: all that you do. We really appreciate you'all. You put 548 00:28:54,600 --> 00:28:57,360 Speaker 2: food on our tables every day, and we really, we 549 00:28:57,560 --> 00:29:01,560 Speaker 2: really appreciate it. We're grateful. Every that has any shelf 550 00:29:01,680 --> 00:29:04,320 Speaker 2: filled is because of a trucker and because of farmers 551 00:29:04,320 --> 00:29:06,160 Speaker 2: and ranchers and everybody else in between.