1 00:00:01,400 --> 00:00:04,920 Speaker 1: Welcome to the Tutor Dixon Podcast. We've all heard about 2 00:00:04,960 --> 00:00:08,960 Speaker 1: folks who have been vaccine injured from the COVID nineteen vaccine, 3 00:00:08,960 --> 00:00:11,440 Speaker 1: but the thing is that we hear it in whispers, 4 00:00:11,720 --> 00:00:15,720 Speaker 1: and if it gets too loud, it gets censored. Today 5 00:00:16,200 --> 00:00:18,880 Speaker 1: we're done with the censors, and we're going to speak 6 00:00:18,920 --> 00:00:22,040 Speaker 1: with a man who lost his son and a doctor 7 00:00:22,120 --> 00:00:25,960 Speaker 1: who can no longer practice due to his vaccine injury. 8 00:00:26,079 --> 00:00:29,200 Speaker 1: Before we deep dive into the COVID vax I want 9 00:00:29,200 --> 00:00:31,680 Speaker 1: to talk to you a little bit about your health, 10 00:00:31,800 --> 00:00:34,239 Speaker 1: because you can't put a price on your health. 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They've 38 00:01:56,200 --> 00:01:58,760 Speaker 1: been trying to censor. But we're done with that today. 39 00:01:59,000 --> 00:02:03,880 Speaker 1: So I want to welcome Joel Wolskog and Ernest Ramirez 40 00:02:03,920 --> 00:02:06,160 Speaker 1: to the podcast. Thank you so much for coming today. 41 00:02:07,200 --> 00:02:08,600 Speaker 2: Thank you so much for having us. 42 00:02:09,240 --> 00:02:13,960 Speaker 1: Thank you Mom, absolutely, Joel. I want to start with you. 43 00:02:13,960 --> 00:02:19,240 Speaker 1: You are an orthopedic surgeon from Milwaukee. You got the 44 00:02:19,280 --> 00:02:23,840 Speaker 1: COVID vaccine, and you know, first, I want to say, 45 00:02:24,320 --> 00:02:27,240 Speaker 1: we have heard so many people come to us and 46 00:02:27,280 --> 00:02:29,720 Speaker 1: say I got the vaccine. I mean, I've even seen 47 00:02:30,240 --> 00:02:32,760 Speaker 1: Megan Kelly come out and talk about getting the vaccine 48 00:02:33,080 --> 00:02:36,920 Speaker 1: and then having an autoimmune disorder just afterward and saying, 49 00:02:36,960 --> 00:02:39,600 Speaker 1: there's no way that this just suddenly happened to me. 50 00:02:39,919 --> 00:02:42,720 Speaker 1: And I think everybody has somebody who has either been 51 00:02:42,800 --> 00:02:45,560 Speaker 1: injured or at least had side effects that were very 52 00:02:45,560 --> 00:02:49,160 Speaker 1: severe for a long time. But we're talking about way 53 00:02:49,200 --> 00:02:55,560 Speaker 1: beyond this. Ernest lost his son, you ended up losing 54 00:02:55,600 --> 00:02:58,560 Speaker 1: your practice. Really tell us to walk us a little 55 00:02:58,560 --> 00:03:00,400 Speaker 1: bit down through your journey, Joel. 56 00:03:03,120 --> 00:03:06,160 Speaker 3: My journey really started with me getting my one and 57 00:03:06,160 --> 00:03:11,359 Speaker 3: only Maderna injection on December thirtieth of twenty twenty. Before that, 58 00:03:11,639 --> 00:03:14,040 Speaker 3: anybody that knows me in a very very busy practice, 59 00:03:14,080 --> 00:03:18,200 Speaker 3: I love my job, very active, really had no significant 60 00:03:18,240 --> 00:03:22,200 Speaker 3: medical problems whatsoever. On December thirtieth, I get my shot. 61 00:03:22,320 --> 00:03:25,160 Speaker 3: I was very uneventful, and then about five to seven 62 00:03:25,200 --> 00:03:27,640 Speaker 3: days afterwards. I remember waking up from bed and telling 63 00:03:27,680 --> 00:03:30,880 Speaker 3: my wife my feet were not and it was definitely 64 00:03:30,919 --> 00:03:34,400 Speaker 3: more than it was like electrical shock shocks or sensations 65 00:03:34,400 --> 00:03:37,520 Speaker 3: in my legs. I did what I always do, which 66 00:03:37,560 --> 00:03:40,480 Speaker 3: is just keep working and just not to try to 67 00:03:40,560 --> 00:03:42,080 Speaker 3: figure out. Okay, I don't know what it is, but 68 00:03:42,120 --> 00:03:45,560 Speaker 3: it'll get better. But I was within several days after 69 00:03:45,600 --> 00:03:48,800 Speaker 3: that that I was at work talking to a patient, 70 00:03:49,080 --> 00:03:52,000 Speaker 3: sitting down next to an exam table, but speaking of them, 71 00:03:52,400 --> 00:03:53,960 Speaker 3: them in a chair and me and a chair also, 72 00:03:54,040 --> 00:03:56,880 Speaker 3: and I tried to get up. I pushed myself up 73 00:03:56,920 --> 00:03:58,880 Speaker 3: and then I fell back and I fell down, and 74 00:03:58,960 --> 00:04:01,840 Speaker 3: I realized and clearly my legs just didn't work at 75 00:04:01,880 --> 00:04:04,280 Speaker 3: that point, And it was at that point I knew 76 00:04:04,320 --> 00:04:06,600 Speaker 3: that there was something more serious going on. And then 77 00:04:06,640 --> 00:04:10,240 Speaker 3: within several days I got MRIs of my brain and 78 00:04:10,280 --> 00:04:14,160 Speaker 3: spinal cord, and pretty quickly I got diagnosed with transverse 79 00:04:14,200 --> 00:04:14,800 Speaker 3: my alitis. 80 00:04:15,000 --> 00:04:17,120 Speaker 1: So this is I have never even heard of this. 81 00:04:17,600 --> 00:04:20,360 Speaker 1: I was reading your story and I'm like, I hope 82 00:04:20,360 --> 00:04:22,159 Speaker 1: he's going to say these words because I don't even 83 00:04:22,200 --> 00:04:23,800 Speaker 1: know how to pronounce them. What is that? 84 00:04:25,040 --> 00:04:25,200 Speaker 2: So? 85 00:04:25,279 --> 00:04:28,960 Speaker 3: Transverse my alitis is an injury to either your brain 86 00:04:29,080 --> 00:04:33,239 Speaker 3: or spinal cord, and what happens is your own immune 87 00:04:33,279 --> 00:04:36,440 Speaker 3: system chooses to kind of attack your nerves or your 88 00:04:36,480 --> 00:04:40,000 Speaker 3: nerve on So I have a demilinated lesion at the 89 00:04:40,040 --> 00:04:43,320 Speaker 3: thoracic level at about TH eight or T nine. So 90 00:04:43,400 --> 00:04:46,600 Speaker 3: the milin is the protective sheath that's around your brain 91 00:04:46,640 --> 00:04:50,880 Speaker 3: and spinal cord, and the milin helps kind of your 92 00:04:50,920 --> 00:04:56,320 Speaker 3: nerves to conduct electrical impulses correctly. And basically for me, 93 00:04:56,440 --> 00:04:59,600 Speaker 3: what happened was my own immune system chose to attack 94 00:04:59,640 --> 00:05:01,040 Speaker 3: my nerves around. 95 00:05:00,800 --> 00:05:02,840 Speaker 1: My mind is like an autoimmune as well. 96 00:05:03,760 --> 00:05:06,680 Speaker 3: Yeah, I mean most likely this was an autoimmune issue. 97 00:05:07,240 --> 00:05:09,920 Speaker 3: And again my symptoms started about five to seven days 98 00:05:09,960 --> 00:05:15,240 Speaker 3: after the shot. That's transverse my litis. Now a lot 99 00:05:15,240 --> 00:05:17,920 Speaker 3: of people know and I've heard about giam beret. Giam 100 00:05:17,960 --> 00:05:21,040 Speaker 3: beret is really the same disorder, but it deals with 101 00:05:21,120 --> 00:05:24,240 Speaker 3: peripheral nerves. So transverse my alitis is kind of often 102 00:05:24,360 --> 00:05:27,400 Speaker 3: autoimmune attack on your brain or spinal cord. Giam Beret 103 00:05:27,480 --> 00:05:31,200 Speaker 3: syndrome is really more of an attack on your peripheral nerve, 104 00:05:31,279 --> 00:05:35,119 Speaker 3: so they're very much similar. Since that time, I've also 105 00:05:35,480 --> 00:05:41,560 Speaker 3: developed this autonomia. So your auto Your autonomic nervous system 106 00:05:41,640 --> 00:05:44,839 Speaker 3: is that part of your nervous system that controls involuntary 107 00:05:44,880 --> 00:05:50,120 Speaker 3: functions like blood pressure, heart rate, digestion, et cetera. So 108 00:05:50,200 --> 00:05:52,599 Speaker 3: for me, the other thing I've had ever since the shot, 109 00:05:52,720 --> 00:05:57,159 Speaker 3: within about a week after, is it's just wide fluctuations 110 00:05:57,160 --> 00:06:00,240 Speaker 3: of my heart rate and blood pressure. And unfortunately, what 111 00:06:00,320 --> 00:06:02,560 Speaker 3: happens sometimes too is I just pass out. So I 112 00:06:02,560 --> 00:06:05,560 Speaker 3: have these what we call sincaple episodes, just sitting down 113 00:06:05,600 --> 00:06:07,880 Speaker 3: and I just pass out. So unfortunately I'm not even 114 00:06:07,920 --> 00:06:10,320 Speaker 3: driving anymore, which kind of stinks, but it is what 115 00:06:10,360 --> 00:06:10,720 Speaker 3: it is. 116 00:06:11,880 --> 00:06:14,720 Speaker 1: And this all happened when you're fifty years old. I mean, 117 00:06:14,839 --> 00:06:17,880 Speaker 1: this is not you're like in the middle of life. 118 00:06:18,600 --> 00:06:22,480 Speaker 3: I'm a big water skier. I'm a big watersports guy, 119 00:06:22,680 --> 00:06:26,400 Speaker 3: a waksurf. I mean I did all that stuff until, 120 00:06:26,839 --> 00:06:31,520 Speaker 3: you know, until really December of twenty twenty. So I 121 00:06:31,560 --> 00:06:35,400 Speaker 3: have four kids. We're a very very active family. But 122 00:06:35,480 --> 00:06:36,880 Speaker 3: things are quite a bit different now. 123 00:06:37,880 --> 00:06:40,960 Speaker 1: Wow. Well, Ernest, I want to get to you because 124 00:06:41,440 --> 00:06:46,080 Speaker 1: I ride your story early on and I just I 125 00:06:46,120 --> 00:06:51,080 Speaker 1: want to say, I'm so sorry. I can't even imagine 126 00:06:52,040 --> 00:06:54,760 Speaker 1: what this feels like. But I think people need to 127 00:06:54,800 --> 00:06:57,760 Speaker 1: hear your story because I think people need to know 128 00:06:57,960 --> 00:07:02,920 Speaker 1: that this vaccine was pushed on children, and your son 129 00:07:03,120 --> 00:07:08,520 Speaker 1: was healthy before he received this vaccine. Is that correct, Yes, ma'am. 130 00:07:08,800 --> 00:07:14,920 Speaker 2: He was very healthy. He was he dedicated to sport. 131 00:07:15,200 --> 00:07:18,800 Speaker 4: He loved baseball, and when he wasn't playing baseball, you 132 00:07:18,840 --> 00:07:22,880 Speaker 4: were playing basketball. You're in the neighborhood with with his friends. 133 00:07:22,920 --> 00:07:26,640 Speaker 4: So I mean he would even during COVID we were 134 00:07:26,680 --> 00:07:31,080 Speaker 4: locked down, he'd run two laps in our subdivision just 135 00:07:31,120 --> 00:07:34,720 Speaker 4: to keep in shape, to keep you know, in shape 136 00:07:34,720 --> 00:07:38,720 Speaker 4: with the sport he loved the most. So he never 137 00:07:38,760 --> 00:07:43,440 Speaker 4: had any issues all these years, other than snip was 138 00:07:43,520 --> 00:07:46,720 Speaker 4: once in a while as a normal kid, but he 139 00:07:46,840 --> 00:07:48,800 Speaker 4: never had to be you know, I've never had to 140 00:07:48,800 --> 00:07:50,000 Speaker 4: take him to the doctor. 141 00:07:50,960 --> 00:07:55,120 Speaker 1: So you were pretty actively talking about this after it happened, 142 00:07:55,240 --> 00:07:58,400 Speaker 1: and this was your son got the shot, and then 143 00:07:58,440 --> 00:08:01,440 Speaker 1: it was just days after that that he collapsed. 144 00:08:01,480 --> 00:08:03,440 Speaker 2: Is that correct, yes, ma'am. 145 00:08:03,480 --> 00:08:07,440 Speaker 4: It's five days afterwards. And when this happened, I didn't 146 00:08:07,560 --> 00:08:10,560 Speaker 4: I didn't know. I mean I had never heard nothing. 147 00:08:11,160 --> 00:08:14,680 Speaker 4: I haven't heard anything about any side effects, any issues, 148 00:08:14,720 --> 00:08:18,160 Speaker 4: and so naturally I thought, you know, how could this 149 00:08:18,280 --> 00:08:22,520 Speaker 4: be you know, I didn't even connect it with the vaccine. 150 00:08:22,920 --> 00:08:26,120 Speaker 4: You know, I wasn't expecting it to be that vaccine 151 00:08:26,120 --> 00:08:31,160 Speaker 4: that affected my son, not until I met you know, 152 00:08:31,400 --> 00:08:34,080 Speaker 4: something told me to go to d C and send 153 00:08:34,120 --> 00:08:37,080 Speaker 4: it around. Johnson reached out to me to he wanted 154 00:08:37,120 --> 00:08:40,120 Speaker 4: to talk to me, and that's where I met Brian 155 00:08:40,320 --> 00:08:45,280 Speaker 4: dressing doctor Joe Wallskot. I realized this wasn't just me 156 00:08:45,400 --> 00:08:52,040 Speaker 4: my son, if it affected people all over the world. 157 00:08:52,920 --> 00:08:57,480 Speaker 4: And so that's very upsetting because, you know, our own 158 00:08:58,400 --> 00:09:03,040 Speaker 4: system that was suppor put in place take care for 159 00:09:03,120 --> 00:09:05,400 Speaker 4: our people, haven't. 160 00:09:05,600 --> 00:09:06,679 Speaker 2: They haven't done anything. 161 00:09:07,679 --> 00:09:10,400 Speaker 4: I mean, all they have been doing is injured and 162 00:09:10,480 --> 00:09:15,439 Speaker 4: killing people, and they're not trying to resolve the issue, 163 00:09:16,000 --> 00:09:19,880 Speaker 4: not trying to help the injured. So it's you know, 164 00:09:20,040 --> 00:09:23,040 Speaker 4: like I said, it's really upsetting to me. I'm getting tired. 165 00:09:24,080 --> 00:09:25,960 Speaker 4: They need, you know, they need to stand up. 166 00:09:26,800 --> 00:09:29,400 Speaker 1: Uh you know, my friend, have you heard anything from 167 00:09:29,440 --> 00:09:30,880 Speaker 1: the pharmaceutical companies. 168 00:09:31,880 --> 00:09:32,040 Speaker 2: Oh? 169 00:09:32,120 --> 00:09:36,680 Speaker 4: No, I've emailed arovisor I've commented on a lot of 170 00:09:36,720 --> 00:09:41,480 Speaker 4: posts where they ask people to get vaccinated for their 171 00:09:41,600 --> 00:09:45,480 Speaker 4: for themselves and their family. They won't reply to me. 172 00:09:48,040 --> 00:09:51,600 Speaker 4: You know, I've reached out to Biden, also emailed them 173 00:09:51,600 --> 00:09:55,720 Speaker 4: several times, hoping, you know, to upset them, you know, 174 00:09:55,800 --> 00:09:58,080 Speaker 4: so they can respond to me. I don't care, it 175 00:09:58,120 --> 00:10:01,520 Speaker 4: doesn't matter to me. Reached out to my own governor 176 00:10:02,080 --> 00:10:07,040 Speaker 4: Abbot with no response, And like I said, you know, 177 00:10:07,080 --> 00:10:08,240 Speaker 4: these people don't scare me. 178 00:10:08,240 --> 00:10:09,320 Speaker 2: They no longer scare me. 179 00:10:09,679 --> 00:10:12,400 Speaker 1: Let's take a quick commercial break. We'll continue next on 180 00:10:12,440 --> 00:10:18,560 Speaker 1: the Tutor Dixon Podcast. What do you think about the 181 00:10:18,600 --> 00:10:22,400 Speaker 1: Attorney General suing Pfizer? Have you heard about that lawsuit? 182 00:10:23,040 --> 00:10:23,319 Speaker 2: Yes? 183 00:10:23,800 --> 00:10:27,400 Speaker 4: And I'm trying to figure out why now when we've 184 00:10:27,440 --> 00:10:32,400 Speaker 4: been trying to get in contact with anyone to try 185 00:10:32,440 --> 00:10:37,000 Speaker 4: to you know, not to profit, but to help, and 186 00:10:37,040 --> 00:10:38,880 Speaker 4: now all of a sudden they want to do it 187 00:10:38,920 --> 00:10:42,040 Speaker 4: three years later. You know, that's I don't know what 188 00:10:42,160 --> 00:10:44,319 Speaker 4: are they going to benefit? Are they going to benefit 189 00:10:44,320 --> 00:10:46,679 Speaker 4: out of it, or are we as a group going 190 00:10:46,679 --> 00:10:47,280 Speaker 4: to benefit? 191 00:10:47,640 --> 00:10:49,000 Speaker 2: That's my question right there. 192 00:10:49,960 --> 00:10:52,960 Speaker 4: I mean, if they win, I can hear I can 193 00:10:52,960 --> 00:10:56,199 Speaker 4: see them patting each other on the back, You're all excited. 194 00:10:56,800 --> 00:10:59,680 Speaker 2: But what about the rest of us? 195 00:10:59,760 --> 00:11:02,520 Speaker 1: That's good question. And we asked that to Attorney General 196 00:11:02,600 --> 00:11:05,440 Speaker 1: con Paxton. I said, I if you win this lawsuit, 197 00:11:05,480 --> 00:11:08,200 Speaker 1: does that mean that the money goes to these families 198 00:11:08,240 --> 00:11:10,560 Speaker 1: who have been injured or lost their loved ones. And 199 00:11:10,600 --> 00:11:12,960 Speaker 1: he said, you know, if I win the lawsuit, that 200 00:11:13,040 --> 00:11:17,160 Speaker 1: goes to the legislature. So you know, that's interesting how 201 00:11:17,600 --> 00:11:21,559 Speaker 1: those things work with government and when then the legislature decides. Well, 202 00:11:21,800 --> 00:11:25,520 Speaker 1: I certainly hope that the legislature is going to meet 203 00:11:25,559 --> 00:11:27,880 Speaker 1: with you folks. Have you heard from anyone from the 204 00:11:27,920 --> 00:11:30,600 Speaker 1: Texas legislature, No, ma'am. 205 00:11:31,679 --> 00:11:32,280 Speaker 2: We haven't. 206 00:11:33,080 --> 00:11:35,240 Speaker 3: I have some contacts that we're trying to work with 207 00:11:35,280 --> 00:11:38,600 Speaker 3: to contact Attorney General Paxson. But you know, Tutor, we 208 00:11:38,640 --> 00:11:40,920 Speaker 3: have our own lawsuit that we filed in federal court 209 00:11:42,200 --> 00:11:46,680 Speaker 3: back in October in federal court and Donald Louisiana that 210 00:11:46,920 --> 00:11:50,440 Speaker 3: is against HI and HRSA. So the Health and Human 211 00:11:50,480 --> 00:11:56,760 Speaker 3: Services about the compensation program that is intended to help 212 00:11:56,880 --> 00:11:59,600 Speaker 3: those injured by the countermeasures in this case, the COVID 213 00:11:59,640 --> 00:12:02,719 Speaker 3: nineteen vaccine has been a dismal failure, so as a 214 00:12:02,840 --> 00:12:07,600 Speaker 3: ninety seven percent failure rate, I'm sorry, denialerate. And to date, 215 00:12:08,080 --> 00:12:13,160 Speaker 3: the CICP, which is a countermeasures injury compensation program, has 216 00:12:13,160 --> 00:12:17,040 Speaker 3: only paid out eight individuals, eight Americans for their COVID 217 00:12:17,480 --> 00:12:21,200 Speaker 3: vaccine injuries for a total of thirty thousand dollars. So 218 00:12:21,520 --> 00:12:24,800 Speaker 3: the PREP Act immunity, you know, the PREP Act is 219 00:12:25,080 --> 00:12:31,079 Speaker 3: act that gives pharma immunity from prosecution. So I understand 220 00:12:31,240 --> 00:12:34,280 Speaker 3: the theory behind the PREP Act, but the balance there 221 00:12:34,440 --> 00:12:36,440 Speaker 3: is supposed to be that if you do get injured 222 00:12:36,440 --> 00:12:39,720 Speaker 3: by a countermeasure, remember early on, I mean these the 223 00:12:39,760 --> 00:12:43,199 Speaker 3: COVID shots were not vaccines. They were called countermeasures administered 224 00:12:43,240 --> 00:12:47,840 Speaker 3: to the Department of Defense. So we follow a lawsuit 225 00:12:47,920 --> 00:12:52,520 Speaker 3: in October through Aaron Series group. It was REACT nineteen 226 00:12:52,559 --> 00:12:55,559 Speaker 3: as well as several other injured people from the Southeast, 227 00:12:56,360 --> 00:12:59,760 Speaker 3: basically for the violation of our fifth and seven Amendment rights. 228 00:12:59,840 --> 00:13:03,240 Speaker 3: So it prevented us from due process and a jury trial. 229 00:13:03,679 --> 00:13:07,760 Speaker 3: So that lawsuit also directly challenges the PREP Act. I 230 00:13:07,880 --> 00:13:10,520 Speaker 3: applaud you know, the Attorney General of Texas, you know, 231 00:13:10,559 --> 00:13:13,719 Speaker 3: for pushing the envelope. We also have another lawsuit we're 232 00:13:13,720 --> 00:13:16,360 Speaker 3: involved in. You know, Brand Dressing, who's my co chair, 233 00:13:16,880 --> 00:13:19,040 Speaker 3: has never sued anyone in her life. If you look 234 00:13:19,120 --> 00:13:22,120 Speaker 3: up a censorship lawsuit she has. It's Brand Dressing at 235 00:13:22,160 --> 00:13:24,800 Speaker 3: all versus Joe Biden at all, and all of your 236 00:13:24,800 --> 00:13:28,040 Speaker 3: listeners should know that all the censorship that's at the 237 00:13:28,040 --> 00:13:31,720 Speaker 3: beginning of the pandemic, which which is where the communications 238 00:13:31,760 --> 00:13:34,840 Speaker 3: went out to the social media groups that said don't 239 00:13:34,880 --> 00:13:38,040 Speaker 3: publish even true stories of vaccine injury so as not 240 00:13:38,200 --> 00:13:41,520 Speaker 3: to go against the current narrative, all came directly from 241 00:13:41,559 --> 00:13:43,079 Speaker 3: the from the White House. 242 00:13:43,960 --> 00:13:45,760 Speaker 1: Well, and I want to I want to get to that. 243 00:13:45,800 --> 00:13:48,560 Speaker 1: Don't let me skip over that, because I think that's 244 00:13:48,640 --> 00:13:50,600 Speaker 1: incredibly important. I want to get to that. But let's 245 00:13:50,840 --> 00:13:52,840 Speaker 1: let me unpack the prep Act a little bit for 246 00:13:52,880 --> 00:13:57,120 Speaker 1: a second. For people listening, the prep Act is decades old. 247 00:13:57,559 --> 00:13:59,920 Speaker 1: This is not something that was new for COVID. I 248 00:14:00,080 --> 00:14:03,240 Speaker 1: think some people think, oh, this was in place for COVID. 249 00:14:03,400 --> 00:14:07,319 Speaker 1: This was kind of resurrected or they said, Okay, we're 250 00:14:07,320 --> 00:14:09,520 Speaker 1: going to put this under the prep Act so that 251 00:14:09,640 --> 00:14:13,040 Speaker 1: these companies can create this quickly and we can get 252 00:14:13,040 --> 00:14:16,320 Speaker 1: it on the market. And I think that it was 253 00:14:16,559 --> 00:14:20,240 Speaker 1: very shortsighted because nobody really understood what it was going 254 00:14:20,280 --> 00:14:22,640 Speaker 1: to take to create this that they called a vaccine. 255 00:14:22,640 --> 00:14:26,240 Speaker 1: But as you mentioned, it's a countermeasure and a vaccine. 256 00:14:26,320 --> 00:14:29,680 Speaker 1: We know very clearly that a vaccine protects you from something. 257 00:14:29,680 --> 00:14:33,120 Speaker 1: But this does not. And so the interesting take on 258 00:14:33,160 --> 00:14:36,560 Speaker 1: the Texas lawsuit, and I think that people need to 259 00:14:36,640 --> 00:14:39,400 Speaker 1: understand the PREP Act is federal and so that's why 260 00:14:40,200 --> 00:14:43,120 Speaker 1: we as a country, as a whole cannot go after 261 00:14:43,160 --> 00:14:48,040 Speaker 1: the pharmaceutical companies for vaccine injuries because they are protected federally. 262 00:14:48,080 --> 00:14:52,680 Speaker 1: But state by state Attorney General Conpacston he is suing 263 00:14:52,960 --> 00:14:56,000 Speaker 1: because he's saying that they misrepresented what they had. They're 264 00:14:56,040 --> 00:14:59,160 Speaker 1: saying that it was ninety five percent effective, and it 265 00:14:59,200 --> 00:15:02,120 Speaker 1: really had no eficacy whatsoever, because you could get the 266 00:15:02,200 --> 00:15:05,000 Speaker 1: vaccine and you could get COVID a few days later, 267 00:15:05,360 --> 00:15:09,600 Speaker 1: and you could get the vaccine, or your friend could 268 00:15:09,680 --> 00:15:12,560 Speaker 1: be near you and have the vaccine and they could 269 00:15:12,560 --> 00:15:15,840 Speaker 1: get COID. Didn't stop the spread of COVID. So even 270 00:15:15,880 --> 00:15:17,520 Speaker 1: if you had the vaccine and had COVID, you could 271 00:15:17,520 --> 00:15:19,000 Speaker 1: give it to somebody with the vaccine. I mean, it 272 00:15:19,040 --> 00:15:22,280 Speaker 1: was just all a lie. And so that I mean certainly, 273 00:15:22,400 --> 00:15:24,960 Speaker 1: that's not the reason that you want to go after them. 274 00:15:25,040 --> 00:15:27,440 Speaker 1: You want to go after them because you were injured 275 00:15:27,520 --> 00:15:30,720 Speaker 1: and they are protected from that. That's the crazy thing 276 00:15:30,800 --> 00:15:33,080 Speaker 1: about the PREP Act. They are protected from the two 277 00:15:33,120 --> 00:15:36,400 Speaker 1: of you. And that's why this you know they have 278 00:15:36,440 --> 00:15:38,320 Speaker 1: to juggle this and say, okay, we can sue them 279 00:15:38,400 --> 00:15:42,560 Speaker 1: on this lie that this was effective. To me, it's 280 00:15:42,760 --> 00:15:45,600 Speaker 1: just a terrible shame that you can't you can't do 281 00:15:45,640 --> 00:15:47,880 Speaker 1: anything to sue for what happened to you. And I 282 00:15:47,920 --> 00:15:50,520 Speaker 1: love that your lawsuit is addressing that and saying, well, 283 00:15:50,520 --> 00:15:52,720 Speaker 1: wait a minute, why should they be protected by this 284 00:15:52,800 --> 00:15:55,400 Speaker 1: federal law now? Ernest, I want to get to you 285 00:15:55,480 --> 00:16:00,760 Speaker 1: because we talked about the censorship, and you were censored. 286 00:16:00,800 --> 00:16:02,560 Speaker 1: You came out and said, hey, I want to spread 287 00:16:02,560 --> 00:16:04,880 Speaker 1: the word about this. I want to let people know. 288 00:16:05,040 --> 00:16:08,480 Speaker 1: And I think it's so key. You know, we had 289 00:16:08,520 --> 00:16:13,880 Speaker 1: some young people in our area who died of heart conditions, 290 00:16:14,240 --> 00:16:17,880 Speaker 1: died of blood clots. Fifteen year old, seventeen year old. 291 00:16:18,840 --> 00:16:20,880 Speaker 1: These are things that we had never seen before. And 292 00:16:21,040 --> 00:16:24,600 Speaker 1: I just want to be clear, so much so that 293 00:16:24,640 --> 00:16:27,520 Speaker 1: one of these young people was sent from hospital to 294 00:16:27,600 --> 00:16:29,920 Speaker 1: hospital and they didn't know what the problem was because 295 00:16:29,920 --> 00:16:33,240 Speaker 1: it was so unusual to see this kind of blood 296 00:16:33,280 --> 00:16:36,600 Speaker 1: clot in a teenager. I don't know that that was 297 00:16:36,640 --> 00:16:39,560 Speaker 1: the vaccine. I don't know that, but I have to 298 00:16:39,640 --> 00:16:43,320 Speaker 1: say all of these things that are we're seeing come together, 299 00:16:44,360 --> 00:16:46,920 Speaker 1: like the damar Hamlins of the world and all of 300 00:16:46,960 --> 00:16:49,480 Speaker 1: these things that it just seemed to all be happening 301 00:16:49,520 --> 00:16:51,480 Speaker 1: at the same time. I just find it hard to 302 00:16:51,520 --> 00:16:54,560 Speaker 1: believe that there is not a common denominator here. And Ernest, 303 00:16:54,640 --> 00:16:56,320 Speaker 1: you were censored for saying that. 304 00:16:57,160 --> 00:17:01,000 Speaker 4: Wall See the thing, I've never told anyone one not 305 00:17:01,160 --> 00:17:04,439 Speaker 4: to take it or to take it. I've tried to 306 00:17:04,440 --> 00:17:08,119 Speaker 4: make people see what happened to us, what happened to 307 00:17:08,240 --> 00:17:12,359 Speaker 4: me and my son, just to give them some information, 308 00:17:12,680 --> 00:17:16,119 Speaker 4: and that's why they kept centering me for whatever reason. 309 00:17:16,320 --> 00:17:20,159 Speaker 4: And the thing is, that's kind of funny how so 310 00:17:20,320 --> 00:17:25,840 Speaker 4: many people have just been dropping dead suddenly since all 311 00:17:25,920 --> 00:17:30,479 Speaker 4: this began, since they pushed out that job. Now, oh 312 00:17:30,560 --> 00:17:33,199 Speaker 4: now they're trying to make it normal, and which is 313 00:17:33,280 --> 00:17:36,879 Speaker 4: we all know it's not. Or like then then it 314 00:17:37,440 --> 00:17:40,520 Speaker 4: even has me thinking about skids back in the day, 315 00:17:40,640 --> 00:17:42,639 Speaker 4: sudden send infant death. 316 00:17:43,640 --> 00:17:44,920 Speaker 2: Well, that's the same thing. 317 00:17:44,960 --> 00:17:48,119 Speaker 4: Now all of a sudden we have SADS and it's 318 00:17:48,160 --> 00:17:52,320 Speaker 4: all due because of this rollout. So that's there. This 319 00:17:52,400 --> 00:17:55,040 Speaker 4: is just telling me that they've been testing all kinds 320 00:17:55,040 --> 00:17:59,240 Speaker 4: of stuff on all our all our people, and if 321 00:17:59,280 --> 00:18:02,480 Speaker 4: it's something like what we're going to do now now 322 00:18:02,520 --> 00:18:04,320 Speaker 4: they're gonna put another little tag on it. 323 00:18:05,240 --> 00:18:09,080 Speaker 1: Do you know, by chance what the percentage of children 324 00:18:09,119 --> 00:18:14,800 Speaker 1: who have who ended up dying from SIDS compared to SADS? 325 00:18:14,920 --> 00:18:17,960 Speaker 1: I just am curious as a vaccine rolls out, are 326 00:18:18,000 --> 00:18:21,880 Speaker 1: those numbers? Are those percentages similar at all? 327 00:18:23,520 --> 00:18:26,720 Speaker 4: I don't know, Joel, my boy, than I do on 328 00:18:26,760 --> 00:18:28,520 Speaker 4: that portion not, but I'm pre sure it's a lot 329 00:18:28,600 --> 00:18:29,440 Speaker 4: higher now. 330 00:18:31,480 --> 00:18:31,680 Speaker 2: Right. 331 00:18:32,320 --> 00:18:34,840 Speaker 3: I don't know the answer to that. Part of the 332 00:18:35,080 --> 00:18:40,760 Speaker 3: problem is we haven't been getting true and transparent data, 333 00:18:41,040 --> 00:18:44,600 Speaker 3: you know, from the philaceutical companies, and we never really 334 00:18:44,720 --> 00:18:48,959 Speaker 3: know the denominator. And that's why people ask me all 335 00:18:49,000 --> 00:18:52,480 Speaker 3: the time, what is the true instance of adverse events 336 00:18:52,680 --> 00:18:56,400 Speaker 3: after the shots? The answers I don't know. And it's 337 00:18:56,400 --> 00:19:00,280 Speaker 3: not because I don't want to know. It's because not 338 00:19:00,359 --> 00:19:03,880 Speaker 3: given the true and transparent data, who owns the data? 339 00:19:03,920 --> 00:19:06,360 Speaker 3: Everyone thinks it's the FDA or CDC or the government. 340 00:19:06,440 --> 00:19:10,880 Speaker 3: No pharmacy owns their pine of control data. So it's 341 00:19:10,920 --> 00:19:14,680 Speaker 3: only through Aaron Siri, for example, that you know, sue 342 00:19:14,680 --> 00:19:16,919 Speaker 3: them through a Foyer request that we even got some 343 00:19:17,040 --> 00:19:20,200 Speaker 3: of the data, like the Pfizer data, which is frankly 344 00:19:20,200 --> 00:19:22,800 Speaker 3: pretty alarming. Remember early on they wanted to have seventy 345 00:19:22,800 --> 00:19:24,280 Speaker 3: five years to release the data. 346 00:19:24,880 --> 00:19:28,359 Speaker 1: So that's why I think that we need to figure 347 00:19:28,359 --> 00:19:31,040 Speaker 1: out how to connect you with Attorney General Ken Paxton, 348 00:19:31,040 --> 00:19:32,520 Speaker 1: because that was one of the things that he said 349 00:19:32,600 --> 00:19:34,639 Speaker 1: last week when we talked to him. He said, what 350 00:19:34,720 --> 00:19:37,800 Speaker 1: I hope from this, or what I know from this, 351 00:19:38,320 --> 00:19:40,880 Speaker 1: is that because we're suing them for this, they will 352 00:19:41,000 --> 00:19:43,480 Speaker 1: have to give us their data and then we can 353 00:19:43,640 --> 00:19:46,560 Speaker 1: flip through and find out what the truth is. And 354 00:19:46,640 --> 00:19:49,640 Speaker 1: so this is a way to break that free. That 355 00:19:49,760 --> 00:19:52,879 Speaker 1: was even we had a researcher from the University of 356 00:19:52,880 --> 00:19:57,239 Speaker 1: Wisconsin actually on the podcast a few months back, and 357 00:19:57,280 --> 00:20:00,720 Speaker 1: he said, I have always been able to get every 358 00:20:00,800 --> 00:20:05,600 Speaker 1: piece of data from these pharmaceutical companies on anything any 359 00:20:05,680 --> 00:20:07,439 Speaker 1: drug that they have out there. And he said, this 360 00:20:07,600 --> 00:20:11,600 Speaker 1: is totally closed down. I can't see Maderna, I can't 361 00:20:11,600 --> 00:20:14,879 Speaker 1: see Pfizer, I can't see any of these companies because 362 00:20:14,880 --> 00:20:17,600 Speaker 1: they have all of their data lockdown. And it's unheard 363 00:20:17,640 --> 00:20:20,320 Speaker 1: of to have this data lockdown. And so the question 364 00:20:20,560 --> 00:20:22,600 Speaker 1: that I think we all pose when we see that 365 00:20:22,680 --> 00:20:25,480 Speaker 1: as what are you hiding? Why? 366 00:20:27,000 --> 00:20:27,200 Speaker 2: Right? 367 00:20:27,600 --> 00:20:31,120 Speaker 3: I mean, the scientific process involves true and transparent data 368 00:20:31,160 --> 00:20:35,560 Speaker 3: and allows people the opportunity to evaluate other people's data 369 00:20:35,560 --> 00:20:37,800 Speaker 3: in their research. That's why I always say, you know, 370 00:20:37,880 --> 00:20:42,440 Speaker 3: in Reacting Team, we're a we're a science based advocacy 371 00:20:42,520 --> 00:20:44,639 Speaker 3: organization for those Americans injured. 372 00:20:44,400 --> 00:20:44,959 Speaker 2: By the shots. 373 00:20:45,040 --> 00:20:47,879 Speaker 3: We talk, we talked data, we talk talk science, but 374 00:20:48,160 --> 00:20:53,479 Speaker 3: what we're up against is censorship, deception, and frankly, lives 375 00:20:54,000 --> 00:20:57,359 Speaker 3: goes against the narrative that the vaccines are you know, 376 00:20:57,440 --> 00:21:01,400 Speaker 3: the answer and the way out is censored. And frankly, 377 00:21:01,760 --> 00:21:04,399 Speaker 3: you know, I just have to mention something about Travis 378 00:21:04,480 --> 00:21:06,800 Speaker 3: kelce So you know, you saw I watched Sunday Night 379 00:21:06,800 --> 00:21:10,119 Speaker 3: Football last night. You have Travis Kelcey, who is a 380 00:21:10,200 --> 00:21:15,199 Speaker 3: well known, respected, you know, football player who people and 381 00:21:15,280 --> 00:21:18,800 Speaker 3: young men respect, telling them to go out and get 382 00:21:18,840 --> 00:21:21,320 Speaker 3: two shots, you know, get your flu shot and get 383 00:21:21,359 --> 00:21:24,560 Speaker 3: your COVID shot. That's just evil's And. 384 00:21:24,640 --> 00:21:28,120 Speaker 1: That's an interesting statement because you know, my girls, we're 385 00:21:28,160 --> 00:21:30,880 Speaker 1: not a huge football house. I mean, we have four 386 00:21:31,000 --> 00:21:34,160 Speaker 1: daughters and that's just not their jam, right, But they 387 00:21:34,240 --> 00:21:38,440 Speaker 1: know Travis kelce because of we are Swifties. In our house. 388 00:21:38,720 --> 00:21:42,480 Speaker 1: We have four Swifties and so they know this, and 389 00:21:42,520 --> 00:21:45,359 Speaker 1: that's I think that those folks have so much influence, 390 00:21:45,359 --> 00:21:48,760 Speaker 1: and so in other countries they are not allowed to 391 00:21:48,880 --> 00:21:52,280 Speaker 1: have They're not allowed to advertise pharmaceuticals and certainly not 392 00:21:52,320 --> 00:21:56,080 Speaker 1: allowed to have role models. And I say role models 393 00:21:56,080 --> 00:21:59,000 Speaker 1: because if you play a sport like that, people look 394 00:21:59,119 --> 00:22:01,200 Speaker 1: up to you. If you have a talent that other 395 00:22:01,240 --> 00:22:03,760 Speaker 1: people don't have, you are a role model to those people. 396 00:22:03,880 --> 00:22:07,040 Speaker 1: Same with if you are able to sing like Taylor Swift, 397 00:22:07,080 --> 00:22:09,680 Speaker 1: you are a role model. And other countries say no, 398 00:22:10,040 --> 00:22:14,280 Speaker 1: we're not going to allow role models or pharmaceutical companies 399 00:22:14,280 --> 00:22:17,640 Speaker 1: to advertise, certainly not to children. How did we get 400 00:22:17,680 --> 00:22:19,200 Speaker 1: here in the United States? 401 00:22:19,680 --> 00:22:22,560 Speaker 3: Well, tutor, tuitor, the pharm of money, you know, is 402 00:22:24,359 --> 00:22:26,960 Speaker 3: all over the place. It's ubiquitous. I mean that pharma 403 00:22:27,160 --> 00:22:32,000 Speaker 3: money has captured politics, particularly at the federal level. It 404 00:22:32,080 --> 00:22:36,800 Speaker 3: captures our scientific journals, it captures our media, and it's 405 00:22:36,840 --> 00:22:39,680 Speaker 3: all over the place. And that pharm of money brings 406 00:22:40,280 --> 00:22:43,959 Speaker 3: a significant amount of control. Now I'm a little bit 407 00:22:44,000 --> 00:22:46,520 Speaker 3: older than you, quite a bit so, but I remember. 408 00:22:46,200 --> 00:22:48,159 Speaker 1: Back I want to know that we're so true, but 409 00:22:48,200 --> 00:22:49,880 Speaker 1: you're not that much older. And thank you for saying 410 00:22:49,920 --> 00:22:52,080 Speaker 1: that though, But when I when. 411 00:22:51,960 --> 00:22:54,920 Speaker 3: I was a kid, guess what there were cigarette commercials everywhere. 412 00:22:55,119 --> 00:22:57,840 Speaker 1: Yes, of course with the camel and you were like, 413 00:22:58,000 --> 00:23:00,959 Speaker 1: he's so cool and joke cool. Well they got rid 414 00:23:00,960 --> 00:23:02,439 Speaker 1: of that, right, the Marlborough man. 415 00:23:03,080 --> 00:23:03,320 Speaker 2: Right. 416 00:23:03,600 --> 00:23:06,960 Speaker 3: So if you listen to you know RFKA Junior, for example, 417 00:23:07,040 --> 00:23:10,080 Speaker 3: Robert F. Kenney Junior, he is one proponent that would 418 00:23:10,119 --> 00:23:14,280 Speaker 3: eliminate direct consumer pharmaceutical marketing. 419 00:23:14,520 --> 00:23:17,000 Speaker 1: And that is but so how do you do that? 420 00:23:17,040 --> 00:23:19,720 Speaker 1: Do you do you have to And because I really 421 00:23:19,720 --> 00:23:22,200 Speaker 1: think that the audience needs to hear this, because we've 422 00:23:22,200 --> 00:23:24,880 Speaker 1: talked about this a couple of times that this is abnormal? 423 00:23:25,359 --> 00:23:27,560 Speaker 1: Does it have to be a bill? Does do you 424 00:23:27,600 --> 00:23:29,600 Speaker 1: have to lobby for that? Is this something that you 425 00:23:29,640 --> 00:23:32,080 Speaker 1: can do with a lawsuit? What is the way that 426 00:23:32,119 --> 00:23:35,719 Speaker 1: you stop this insanity of a massive amount of money 427 00:23:35,920 --> 00:23:40,399 Speaker 1: going Because you can you can advertise drugs that people 428 00:23:40,440 --> 00:23:42,640 Speaker 1: then I mean think about if you see a drug 429 00:23:42,680 --> 00:23:45,640 Speaker 1: people go oh gosh, I must need that, right, it's 430 00:23:45,720 --> 00:23:47,280 Speaker 1: coming from a trusted source. 431 00:23:50,000 --> 00:23:51,000 Speaker 2: I agree with you totally. 432 00:23:51,040 --> 00:23:54,679 Speaker 3: I think it's certainly complicated, but I think the direct 433 00:23:54,760 --> 00:23:58,960 Speaker 3: consumer pharmaceutical marketing is one element that needs to be addressed, 434 00:23:58,960 --> 00:24:02,800 Speaker 3: probably through the federal life. And again, how do you 435 00:24:02,840 --> 00:24:06,439 Speaker 3: control that locally, while it's probably through federal funding. I mean, 436 00:24:06,520 --> 00:24:09,520 Speaker 3: just think about how many states years ago had an 437 00:24:09,520 --> 00:24:13,320 Speaker 3: eighteen year old drinking age and how did they get 438 00:24:13,359 --> 00:24:16,399 Speaker 3: everyone forced to go up to twenty one by controlling funding. 439 00:24:16,920 --> 00:24:18,880 Speaker 3: And I think that may be the element to try 440 00:24:18,920 --> 00:24:23,240 Speaker 3: to stop the direct to consumer pharmaceutical monitoring, which is 441 00:24:23,280 --> 00:24:27,840 Speaker 3: horrible and people like Travis Kelsey should be embarrassed because 442 00:24:27,920 --> 00:24:31,280 Speaker 3: telling direct young men, which is what he's doing, to 443 00:24:31,400 --> 00:24:33,440 Speaker 3: go get vaccinated with your flu shot, which they don't 444 00:24:33,440 --> 00:24:38,159 Speaker 3: need that anyway, causing them like Ernest, I mean, losing 445 00:24:38,160 --> 00:24:41,600 Speaker 3: his son. Ernest doesn't want to you know, isn't doing 446 00:24:41,600 --> 00:24:43,960 Speaker 3: this for himself. I'm not doing this for myself, and 447 00:24:44,040 --> 00:24:47,159 Speaker 3: we're doing this for all these other people that have 448 00:24:47,320 --> 00:24:49,920 Speaker 3: been injured that need help and support. But we also 449 00:24:50,000 --> 00:24:53,040 Speaker 3: want to stop further injury. Again, the term safe and 450 00:24:53,080 --> 00:24:58,480 Speaker 3: effective just discussed me because it is an overly simplistic 451 00:24:58,680 --> 00:25:01,400 Speaker 3: anti science marketing campaign. 452 00:25:02,880 --> 00:25:06,120 Speaker 1: So we I mean, obviously we know that there were 453 00:25:06,520 --> 00:25:09,520 Speaker 1: massive pressures. Whether it was your job, or whether it 454 00:25:09,640 --> 00:25:12,480 Speaker 1: was your school or just what we saw on TV, 455 00:25:13,080 --> 00:25:15,600 Speaker 1: there was a massive amount of pressure. It wasn't even pressure, 456 00:25:15,640 --> 00:25:17,000 Speaker 1: I got it. I mean it was so much more 457 00:25:17,040 --> 00:25:21,080 Speaker 1: than pressure about getting the vaccine. It was like you 458 00:25:21,200 --> 00:25:24,960 Speaker 1: were a part of a dark, disgusting society. If you 459 00:25:25,040 --> 00:25:27,159 Speaker 1: were not going to get the vaccine, you were shamed, 460 00:25:27,200 --> 00:25:30,040 Speaker 1: you were bullied. It was it was unlike anything we'd 461 00:25:30,040 --> 00:25:32,359 Speaker 1: ever seen in the United States. I mean, and it 462 00:25:32,480 --> 00:25:35,000 Speaker 1: was so dystopian. You have to go in and you 463 00:25:35,200 --> 00:25:37,239 Speaker 1: have to show your papers to get anywhere. I mean, 464 00:25:37,359 --> 00:25:41,879 Speaker 1: it was just shocking to see that happen in the 465 00:25:42,000 --> 00:25:44,800 Speaker 1: United States. And Ernest, I know you said you got 466 00:25:44,840 --> 00:25:46,919 Speaker 1: it because you thought it was the right thing to do, 467 00:25:47,000 --> 00:25:51,080 Speaker 1: but afterward you said it was like playing Russian roulette. 468 00:25:51,280 --> 00:25:53,840 Speaker 1: What do you think about the way this was rolled 469 00:25:53,840 --> 00:25:58,160 Speaker 1: out and young men in particular, Earnest, because now we 470 00:25:58,320 --> 00:26:01,720 Speaker 1: know that folks have come out and said, well, maybe 471 00:26:01,720 --> 00:26:03,800 Speaker 1: this wasn't the safest for young men. And even if 472 00:26:03,840 --> 00:26:07,600 Speaker 1: that's not happening in the United States, over in Europe 473 00:26:07,640 --> 00:26:09,800 Speaker 1: they said, we're going to stop giving this to kids, 474 00:26:09,800 --> 00:26:11,760 Speaker 1: and young men are not going to get this because 475 00:26:11,960 --> 00:26:13,840 Speaker 1: we don't feel like it's the right thing to do. 476 00:26:14,520 --> 00:26:17,240 Speaker 1: What do you say to Americans who are still saying 477 00:26:17,359 --> 00:26:19,520 Speaker 1: every young man has to go out and get the vaccine. 478 00:26:20,600 --> 00:26:24,399 Speaker 4: Oh thing is if they they're opening up their eyes overseas, 479 00:26:25,800 --> 00:26:29,440 Speaker 4: why don't they see that here? We need to ask 480 00:26:29,520 --> 00:26:33,000 Speaker 4: to get it out there where people can see the 481 00:26:33,040 --> 00:26:37,920 Speaker 4: evidence so they can actually understand that there is a 482 00:26:38,240 --> 00:26:41,640 Speaker 4: side of pets. I mean a lot of people tell me, well, 483 00:26:41,680 --> 00:26:44,760 Speaker 4: I got it. Not nothing happened to me. Not everyone 484 00:26:44,880 --> 00:26:49,359 Speaker 4: got the actual mRNA. Some people got you know, you 485 00:26:49,480 --> 00:26:54,680 Speaker 4: can't contaminate the whole population because that nobody. 486 00:26:54,760 --> 00:26:57,760 Speaker 2: If it affects everyone, nobody's gonna get it. You know. 487 00:26:57,800 --> 00:26:59,879 Speaker 4: Oh no, this happened so and so, and I'm not 488 00:27:00,160 --> 00:27:02,879 Speaker 4: to get it. Then, so they mixed it. They didn't 489 00:27:02,880 --> 00:27:06,200 Speaker 4: give it to just everyone. That's why I'm like, I said, 490 00:27:06,200 --> 00:27:08,840 Speaker 4: it's Russian re litt. Let's see if I don't die 491 00:27:08,840 --> 00:27:11,240 Speaker 4: from this. Well, let's see if I don't get affected 492 00:27:11,240 --> 00:27:14,920 Speaker 4: by this. I mean, it's just it's an ongoing nightmare. 493 00:27:14,920 --> 00:27:16,359 Speaker 4: I'm sorry, but that's what it is. 494 00:27:17,000 --> 00:27:20,119 Speaker 1: Well, that's why I asked about the SIDS versus SAD 495 00:27:20,720 --> 00:27:25,200 Speaker 1: situation too, because obviously every kid is getting those vaccines. 496 00:27:25,200 --> 00:27:28,080 Speaker 1: But it's a certain effect, a certain amount that affect 497 00:27:28,200 --> 00:27:30,920 Speaker 1: different or if that's what happens, but it's a certain 498 00:27:30,960 --> 00:27:34,000 Speaker 1: amount that are ending up dying of SIDS, and is 499 00:27:34,040 --> 00:27:38,159 Speaker 1: that is that a similar ratio for adults to children. 500 00:27:38,200 --> 00:27:41,320 Speaker 1: I mean, it just it's just curious to me. But 501 00:27:41,880 --> 00:27:45,640 Speaker 1: like you said, this is being pushed on people still today, 502 00:27:46,320 --> 00:27:48,800 Speaker 1: and we still don't have the data. I think that's 503 00:27:48,840 --> 00:27:51,959 Speaker 1: the most concerning part. We just don't know. We don't know, 504 00:27:52,040 --> 00:27:54,959 Speaker 1: but I know that people have come out and said, oh, 505 00:27:55,040 --> 00:27:58,200 Speaker 1: this is absolutely not Did your son have any heart 506 00:27:58,359 --> 00:27:59,640 Speaker 1: issues before this. 507 00:27:59,640 --> 00:28:01,200 Speaker 2: Happened, No, ma'am. 508 00:28:01,400 --> 00:28:06,960 Speaker 4: I mean, like I said, he was he loved running, exercising. 509 00:28:07,760 --> 00:28:11,880 Speaker 4: I mean, he put me to shame because he never 510 00:28:11,960 --> 00:28:12,600 Speaker 4: got tired. 511 00:28:13,320 --> 00:28:15,400 Speaker 2: I will try to settle them down, calm him down. 512 00:28:15,520 --> 00:28:18,720 Speaker 4: He wanted to keep on going, he wanted more, and 513 00:28:19,080 --> 00:28:21,240 Speaker 4: like I said, he his plans were to join the 514 00:28:21,280 --> 00:28:24,000 Speaker 4: Air Force. And that's why I get I get upset. 515 00:28:24,040 --> 00:28:29,600 Speaker 4: I said, he wanted to fight for his country, the 516 00:28:29,640 --> 00:28:33,040 Speaker 4: same one that turned their back on him. So I 517 00:28:33,080 --> 00:28:37,240 Speaker 4: don't appreciate that at all. What I do appreciate is 518 00:28:37,960 --> 00:28:38,800 Speaker 4: people I meet. 519 00:28:38,680 --> 00:28:39,320 Speaker 2: Along the way. 520 00:28:39,720 --> 00:28:43,040 Speaker 4: They'll come up and they'll show me their children and 521 00:28:43,080 --> 00:28:46,560 Speaker 4: they'll boast about it. They tell me, my child has 522 00:28:46,640 --> 00:28:50,840 Speaker 4: not received not one vaccination since we heard your story. 523 00:28:51,760 --> 00:28:55,480 Speaker 4: So with that makes me feel good. I'm fortunately. 524 00:28:57,440 --> 00:29:00,239 Speaker 1: So many of us are like I can't I tell 525 00:29:00,280 --> 00:29:03,520 Speaker 1: you how grateful we are that you sharing this, because 526 00:29:04,240 --> 00:29:06,480 Speaker 1: I'm in the same boat. I have four daughters, and 527 00:29:06,960 --> 00:29:09,200 Speaker 1: as soon as I started to hear these stories, I 528 00:29:09,240 --> 00:29:12,320 Speaker 1: was like, got to protect them, I've got to keep 529 00:29:12,360 --> 00:29:17,000 Speaker 1: them away from this. And I think there are still 530 00:29:17,040 --> 00:29:19,440 Speaker 1: people out there that think you know you're crazy if 531 00:29:19,480 --> 00:29:22,200 Speaker 1: you feel like you can't do this. But guess what. 532 00:29:22,240 --> 00:29:24,480 Speaker 1: My kids have gotten sick and they've tested positive for 533 00:29:24,560 --> 00:29:27,600 Speaker 1: COVID and nothing happened to them. Nothing happened to them, 534 00:29:27,640 --> 00:29:30,840 Speaker 1: So why was I told that my kids would not 535 00:29:30,880 --> 00:29:32,800 Speaker 1: get through this? And the crazy part about the thing 536 00:29:32,800 --> 00:29:35,600 Speaker 1: that makes me the most mad is that this is 537 00:29:35,600 --> 00:29:38,200 Speaker 1: not like we saw it hitting America for the first time. 538 00:29:38,400 --> 00:29:41,680 Speaker 1: It had already been in China for months for months, 539 00:29:42,200 --> 00:29:45,400 Speaker 1: so we already knew that kids were not dying from COVID. 540 00:29:45,720 --> 00:29:50,080 Speaker 1: The kids were not the big movers of COVID. They 541 00:29:50,080 --> 00:29:53,560 Speaker 1: weren't sharing COVID, it wasn't spreading through children. Most kids 542 00:29:53,640 --> 00:29:55,440 Speaker 1: weren't getting it, or if they were, they were not 543 00:29:55,520 --> 00:30:00,680 Speaker 1: getting severe infections. So why the push on kids? And 544 00:30:00,720 --> 00:30:02,480 Speaker 1: still to this day, I feel like we have not 545 00:30:03,000 --> 00:30:05,760 Speaker 1: received an answer on that. Why the push for kids? 546 00:30:06,040 --> 00:30:08,240 Speaker 1: And I got to tell you that I've had I 547 00:30:08,280 --> 00:30:11,000 Speaker 1: have people in my office that after they got the vaccine, 548 00:30:11,160 --> 00:30:14,680 Speaker 1: they had terrible side effects. I got the vaccine. I 549 00:30:14,760 --> 00:30:18,560 Speaker 1: had side effects that were unusual side effects that I 550 00:30:18,600 --> 00:30:22,600 Speaker 1: could not have predicted having. And you just you. I 551 00:30:22,640 --> 00:30:25,239 Speaker 1: think that those of us who had it, honestly are like, 552 00:30:25,680 --> 00:30:28,160 Speaker 1: what is what is the long term effect of this? 553 00:30:28,320 --> 00:30:31,000 Speaker 1: What is inside of me? And how what else will 554 00:30:31,000 --> 00:30:31,280 Speaker 1: it do? 555 00:30:31,840 --> 00:30:36,040 Speaker 4: If you said it right there? Why so much attack 556 00:30:36,120 --> 00:30:39,600 Speaker 4: on our children that then years they're trying to control it. 557 00:30:39,720 --> 00:30:41,880 Speaker 4: I mean, we can go down different paths on this 558 00:30:41,960 --> 00:30:45,080 Speaker 4: subject right there. And because it all has to turn 559 00:30:45,080 --> 00:30:49,680 Speaker 4: on the children, they're injuring and killing our kids and 560 00:30:49,720 --> 00:30:53,320 Speaker 4: those that aren't affected, they're putting it in their mind 561 00:30:53,840 --> 00:31:00,760 Speaker 4: to get these animal you know, cutting their self to 562 00:31:00,840 --> 00:31:05,000 Speaker 4: pieces so which they won't be able to have children 563 00:31:05,440 --> 00:31:09,120 Speaker 4: when they grow older. They're just attacking our children in 564 00:31:09,160 --> 00:31:14,040 Speaker 4: any way they can possible. So on all this transgender stuff, 565 00:31:14,080 --> 00:31:17,240 Speaker 4: that's one thing. It all has to do with the children. Now, 566 00:31:17,280 --> 00:31:19,040 Speaker 4: Like I said, we can go down different paths on this, 567 00:31:19,760 --> 00:31:21,640 Speaker 4: but that's what it is. 568 00:31:21,920 --> 00:31:24,800 Speaker 2: They're going to affect our kids one way or another. 569 00:31:25,000 --> 00:31:27,720 Speaker 1: Let's take a quick commercial break. We'll continue next on 570 00:31:27,760 --> 00:31:33,640 Speaker 1: the Tutor Dixon Podcast. You can go down a real 571 00:31:33,720 --> 00:31:36,680 Speaker 1: rabbit hole of why why is this stuff? And the 572 00:31:36,760 --> 00:31:38,680 Speaker 1: stuff that is coming after our kids, Like you just 573 00:31:38,720 --> 00:31:41,360 Speaker 1: talked about the transgender stuff. A lot of that is 574 00:31:41,360 --> 00:31:44,600 Speaker 1: coming through these social media platforms that you were censored on. 575 00:31:44,920 --> 00:31:47,680 Speaker 1: You were censored on, but they can go after our 576 00:31:47,760 --> 00:31:50,880 Speaker 1: kids and push these radical agendas and our kids and 577 00:31:50,880 --> 00:31:54,320 Speaker 1: nobody says anything that's loving, that's caring, Yes, and that's 578 00:31:54,720 --> 00:31:58,360 Speaker 1: most of that is coming from the world's best propagandists, 579 00:31:58,400 --> 00:32:02,120 Speaker 1: which is China, who are coming to destabilize the country. 580 00:32:02,120 --> 00:32:03,960 Speaker 1: And I know this sounds like this is a lot, 581 00:32:04,240 --> 00:32:08,080 Speaker 1: but really this is all connected and we have no 582 00:32:08,160 --> 00:32:10,520 Speaker 1: defense if we can't speak out, but you guys are 583 00:32:10,560 --> 00:32:13,280 Speaker 1: speaking out, and Joel, I just want to give you 584 00:32:13,360 --> 00:32:15,880 Speaker 1: a little a moment to talk about REACT nineteen so 585 00:32:15,920 --> 00:32:17,800 Speaker 1: people know that it's out there, because I think so 586 00:32:17,840 --> 00:32:20,600 Speaker 1: many people are lost, so many people who have been 587 00:32:20,640 --> 00:32:23,280 Speaker 1: injured like you or lost someone like Ernest, are like 588 00:32:23,680 --> 00:32:26,040 Speaker 1: where do we go? So can you tell us a 589 00:32:26,120 --> 00:32:29,040 Speaker 1: little bit about REACT nineteen So people know there's a place, 590 00:32:29,240 --> 00:32:29,880 Speaker 1: there's a home. 591 00:32:30,520 --> 00:32:32,920 Speaker 3: Well, and thank you Twitter, I just wanted to say that, 592 00:32:33,000 --> 00:32:36,400 Speaker 3: you know. REACT nineteen is I think the world's largest 593 00:32:36,400 --> 00:32:39,600 Speaker 3: advocacy organization for those injured by the COVID shots. We're 594 00:32:39,600 --> 00:32:41,840 Speaker 3: certainly the largest in the United States, I think in 595 00:32:41,880 --> 00:32:45,800 Speaker 3: the world. We started this organization with ten people in 596 00:32:45,840 --> 00:32:48,800 Speaker 3: November twenty twenty one, and now we represent over thirty 597 00:32:48,840 --> 00:32:51,280 Speaker 3: six thousand Americans injured by the COVID shots. 598 00:32:51,320 --> 00:32:51,640 Speaker 1: Wow. 599 00:32:52,040 --> 00:32:54,360 Speaker 3: We are not here just to tell our sad stories. 600 00:32:54,400 --> 00:32:56,880 Speaker 3: We occasionally do primarily to try to fundraise for the 601 00:32:56,920 --> 00:32:59,760 Speaker 3: injured people, but we're really trying to take our negative 602 00:32:59,760 --> 00:33:02,920 Speaker 3: reac actions and turn it into positive actions. Our mission 603 00:33:02,960 --> 00:33:08,840 Speaker 3: is threefold, is to support the injured physically, financially and emotionally. Financially, 604 00:33:08,920 --> 00:33:11,240 Speaker 3: we've given out over three quarters of a million dollars 605 00:33:11,280 --> 00:33:14,640 Speaker 3: to injured Americans for uncovered medical expenses. Compare that to 606 00:33:14,760 --> 00:33:17,560 Speaker 3: thirty thousand dollars that our US government has paid out 607 00:33:17,640 --> 00:33:21,400 Speaker 3: through the CICP program, which I referred to before. I 608 00:33:21,400 --> 00:33:23,880 Speaker 3: wish we could give out more, but again, every dollar 609 00:33:23,920 --> 00:33:28,840 Speaker 3: that comes into that program goes right out. So physically, 610 00:33:29,120 --> 00:33:33,320 Speaker 3: we've created care networks so we can't find providers that 611 00:33:33,400 --> 00:33:35,520 Speaker 3: listen to us, believe us, and have any idea what 612 00:33:35,600 --> 00:33:39,120 Speaker 3: to do. So we've created provider networks across the country, 613 00:33:39,160 --> 00:33:43,320 Speaker 3: medical providers, mental health providers, and now we're creating a 614 00:33:43,320 --> 00:33:46,520 Speaker 3: spiritual network to help these people give them support. We 615 00:33:46,560 --> 00:33:50,760 Speaker 3: also do research. We have an ongoing research program right now. 616 00:33:51,280 --> 00:33:53,960 Speaker 3: If anyone's interested that's injured by the COVID shots that 617 00:33:54,000 --> 00:33:56,840 Speaker 3: can take a look. It's on our website. And then 618 00:33:56,880 --> 00:33:59,720 Speaker 3: we have emotional support. We have well lower thirty six 619 00:33:59,720 --> 00:34:02,480 Speaker 3: thousand some people housed in social media based support groups. 620 00:34:03,040 --> 00:34:05,920 Speaker 3: We also have an advocacy program that assigns a nurse 621 00:34:06,000 --> 00:34:09,000 Speaker 3: or social worker to an injured American that needs really 622 00:34:09,000 --> 00:34:11,239 Speaker 3: more one on one help. Those are the ones that 623 00:34:11,280 --> 00:34:14,080 Speaker 3: are really marginalized before the injury. But I've seen twitor 624 00:34:14,239 --> 00:34:17,920 Speaker 3: is that anyone that's marginalized before their injury, they have 625 00:34:18,040 --> 00:34:19,880 Speaker 3: hard time paying their bills, they have the job they 626 00:34:19,880 --> 00:34:24,680 Speaker 3: don't like, they have relationships that aren't great. Their shot 627 00:34:24,719 --> 00:34:28,440 Speaker 3: injury is exponentially more disabling. And now the other thing 628 00:34:28,480 --> 00:34:30,400 Speaker 3: we're doing too is we have a lot of litigation 629 00:34:30,480 --> 00:34:35,520 Speaker 3: going on. We're involved in DC a lot with compensation 630 00:34:35,640 --> 00:34:40,000 Speaker 3: reform with regardless two House bills right now that are 631 00:34:41,080 --> 00:34:44,319 Speaker 3: working on trying to move towards compensation reform. And then 632 00:34:44,360 --> 00:34:46,480 Speaker 3: the other thing that I'm really excited about is we're 633 00:34:46,520 --> 00:34:49,640 Speaker 3: going to try to open the first ever clinic to 634 00:34:49,800 --> 00:34:53,839 Speaker 3: focus on COVID shot injury but also to include long 635 00:34:53,920 --> 00:34:56,520 Speaker 3: COVID It's going to be a multi specialty clinic. We 636 00:34:56,600 --> 00:34:59,640 Speaker 3: hope to be open in the first quarter of two 637 00:34:59,640 --> 00:35:02,760 Speaker 3: thousand twenty four, and that'll be down here in Texas. 638 00:35:03,160 --> 00:35:07,440 Speaker 3: And why are we doing it? Number one, we have 639 00:35:07,800 --> 00:35:12,160 Speaker 3: the injured, really have an unman need. Their care is horrible. 640 00:35:12,200 --> 00:35:14,040 Speaker 3: And the other thing is we're going to prove that 641 00:35:14,120 --> 00:35:15,920 Speaker 3: our care is so bad we're going to do it ourselves. 642 00:35:16,440 --> 00:35:19,560 Speaker 3: So there's a group of us within Reacting Team that 643 00:35:19,600 --> 00:35:23,200 Speaker 3: are partnering with a bunch of national healthcare providers that 644 00:35:23,239 --> 00:35:26,799 Speaker 3: we trust, that are nationally recognized experts, and we're going 645 00:35:26,880 --> 00:35:29,360 Speaker 3: to try to create what we calls the moving gold 646 00:35:29,360 --> 00:35:34,440 Speaker 3: poster gold standard of care for complex chronic illnesses like 647 00:35:34,560 --> 00:35:37,839 Speaker 3: long home end and COVID shot injury. So my hope 648 00:35:37,880 --> 00:35:39,680 Speaker 3: is that's not a one off. My hope is that 649 00:35:40,200 --> 00:35:42,400 Speaker 3: if we can get this model down, it's a nonprofit 650 00:35:42,480 --> 00:35:45,320 Speaker 3: multi specialty clinic. We're going to repeat it in Florida 651 00:35:45,440 --> 00:35:49,520 Speaker 3: or southeast I would say northeast, midwest West, but not 652 00:35:49,600 --> 00:35:50,680 Speaker 3: as far as California. 653 00:35:52,320 --> 00:35:54,960 Speaker 1: That sounds amazing. Before we before I let you go, 654 00:35:55,760 --> 00:35:59,920 Speaker 1: I think that Ernest, your story is so important for 655 00:36:00,080 --> 00:36:03,239 Speaker 1: people here and I want people to connect with your son. 656 00:36:03,440 --> 00:36:06,640 Speaker 1: So tell us a couple of stories about who he was. 657 00:36:07,239 --> 00:36:07,799 Speaker 2: He was. 658 00:36:09,719 --> 00:36:13,000 Speaker 4: He was loving, a loving child. I swear anyone that 659 00:36:13,120 --> 00:36:18,279 Speaker 4: met him loved him dearly. He like I said, I 660 00:36:18,280 --> 00:36:22,080 Speaker 4: couldn't have asked for a better son. He He was 661 00:36:22,080 --> 00:36:26,839 Speaker 4: a blessing to me. Like I said. We we got 662 00:36:26,880 --> 00:36:31,880 Speaker 4: into baseball since he was small, and we lived for baseball. 663 00:36:32,600 --> 00:36:38,120 Speaker 4: He you know, training games. It was just something a 664 00:36:38,200 --> 00:36:42,040 Speaker 4: father's son deal that like I had never had before 665 00:36:42,080 --> 00:36:46,480 Speaker 4: in my life. And it was so great to have 666 00:36:46,560 --> 00:36:53,920 Speaker 4: something to share with my son. And also he loved hunting, fishing, camping. 667 00:36:54,400 --> 00:36:58,520 Speaker 4: I mean, we did so many things together. That's why 668 00:36:58,520 --> 00:37:01,279 Speaker 4: I always said he was my best friend, you know, 669 00:37:01,360 --> 00:37:05,719 Speaker 4: because he was always there, you know he was it 670 00:37:05,800 --> 00:37:08,080 Speaker 4: was always what are we going to do? What do 671 00:37:08,120 --> 00:37:10,160 Speaker 4: we want to do? And come on dad? You know 672 00:37:10,239 --> 00:37:15,960 Speaker 4: it was it was it was wonderful. I mean, I'm 673 00:37:16,000 --> 00:37:19,920 Speaker 4: missed that every day he is. 674 00:37:20,480 --> 00:37:22,839 Speaker 1: I mean, the beautiful thing is that he couldn't have 675 00:37:22,880 --> 00:37:26,560 Speaker 1: been the boy that he was without having an amazing dad. 676 00:37:27,080 --> 00:37:29,880 Speaker 1: And the impact that he had on you as a 677 00:37:29,920 --> 00:37:33,240 Speaker 1: father is why you're fighting so hard for other parents today. 678 00:37:33,239 --> 00:37:35,360 Speaker 1: And I just got to tell you we are so 679 00:37:35,480 --> 00:37:38,080 Speaker 1: thankful for you and for your son. 680 00:37:39,600 --> 00:37:40,920 Speaker 2: Thank you, mom, I appreciate that. 681 00:37:42,320 --> 00:37:46,000 Speaker 1: Thank you both. Joel Wolskog and Ernest Ramirez, thank you 682 00:37:46,040 --> 00:37:49,720 Speaker 1: so much for being here. Everybody, buddy check out React nineteen. 683 00:37:50,080 --> 00:37:52,759 Speaker 1: Give us the website that they can go to, so 684 00:37:52,800 --> 00:37:56,040 Speaker 1: it's w w W. Thank you guys so much. Thank 685 00:37:56,080 --> 00:37:59,040 Speaker 1: you Tutor, and thank you all for joining us on 686 00:37:59,080 --> 00:38:01,719 Speaker 1: the Tutor Dixon Pod. For this episode and others, go 687 00:38:01,760 --> 00:38:04,719 Speaker 1: to Tutor diixonpodcast dot com. You can subscribe right there, 688 00:38:04,920 --> 00:38:08,000 Speaker 1: or head over to the iHeartRadio app, Apple Podcasts, or 689 00:38:08,040 --> 00:38:10,799 Speaker 1: wherever you get your podcasts and join us next time 690 00:38:10,840 --> 00:38:15,680 Speaker 1: on the Tutor Dixon Podcast. Have a blast day.