1 00:00:05,080 --> 00:00:09,840 Speaker 1: We've talked many times before about about the importance of institutions, 2 00:00:09,880 --> 00:00:14,480 Speaker 1: in the importance of institutional trust, let's recap before we 3 00:00:14,560 --> 00:00:18,680 Speaker 1: get to the actual public health health care reckoning we 4 00:00:18,720 --> 00:00:23,119 Speaker 1: need in our country, your society. All societies, this is 5 00:00:23,120 --> 00:00:27,000 Speaker 1: not unique to America, are built on the institutions of 6 00:00:27,040 --> 00:00:32,400 Speaker 1: that society. The institutions build and train generations of people. 7 00:00:32,760 --> 00:00:38,239 Speaker 1: The institutions safeguard society against abuse that may come from anywhere, 8 00:00:38,240 --> 00:00:41,000 Speaker 1: from inside that society or outside society. One a great 9 00:00:41,000 --> 00:00:44,560 Speaker 1: example of this how it should work in a country, if, 10 00:00:44,600 --> 00:00:49,120 Speaker 1: for instance, the federal government tries to cover up felonies 11 00:00:49,159 --> 00:00:52,920 Speaker 1: committed by the president's son so Democrats can win an election. 12 00:00:53,200 --> 00:00:55,400 Speaker 2: It's bad. Okay, I got that. But every country has. 13 00:00:55,280 --> 00:00:58,440 Speaker 1: Bad evil people. Every country's going to have bad evil leaders. 14 00:00:59,400 --> 00:01:02,880 Speaker 1: It shouldn't become immortal wound. You know why it shouldn't 15 00:01:03,320 --> 00:01:08,400 Speaker 1: because the media, for instance, should step up and investigate 16 00:01:08,600 --> 00:01:13,039 Speaker 1: and expose it and smash that kind of evil in malfeasance. 17 00:01:13,040 --> 00:01:16,280 Speaker 1: If you had a media institution, that's the kind of 18 00:01:16,319 --> 00:01:21,039 Speaker 1: thing they would do. Good example, right, abortion is a 19 00:01:21,040 --> 00:01:26,720 Speaker 1: great one. I'm super pro life, but abortion's awful, isn't it. 20 00:01:27,160 --> 00:01:31,720 Speaker 1: Over sixty million killed. Absolutely awful. Now, how is it 21 00:01:32,360 --> 00:01:35,600 Speaker 1: that abortion has been able to go on for decades 22 00:01:35,640 --> 00:01:37,960 Speaker 1: in this country and still goes on today without him? 23 00:01:38,360 --> 00:01:42,600 Speaker 1: How is it because we should have an institution, a 24 00:01:42,680 --> 00:01:48,960 Speaker 1: religious institution that steps up universally every denomination and boldly 25 00:01:49,320 --> 00:01:52,280 Speaker 1: cracks down on it, says no, this is evil, this 26 00:01:52,400 --> 00:01:55,960 Speaker 1: is wrong. But we don't have that. Oh, some will, 27 00:01:56,680 --> 00:02:00,200 Speaker 1: many won't, many will say it's okay. Many will come out. 28 00:02:00,200 --> 00:02:01,920 Speaker 1: I mean the Pope recinc ame out and said, well, 29 00:02:02,000 --> 00:02:03,600 Speaker 1: I mean, if you do the death penalty, then you're 30 00:02:03,640 --> 00:02:10,800 Speaker 1: not pro life either. Ridiculous institutions and your medical institutions 31 00:02:11,240 --> 00:02:12,880 Speaker 1: are a critical part of a society. 32 00:02:13,680 --> 00:02:16,080 Speaker 2: You have to have them, and the people have to 33 00:02:16,080 --> 00:02:16,639 Speaker 2: trust them. 34 00:02:16,880 --> 00:02:20,440 Speaker 1: You have to have some sort of a place people 35 00:02:20,520 --> 00:02:24,320 Speaker 1: can go where they can rely on the medical advice 36 00:02:24,440 --> 00:02:27,520 Speaker 1: given to them. And this applies to societies large and small, 37 00:02:27,680 --> 00:02:31,400 Speaker 1: whether you're a big, prosperous country like ours or even 38 00:02:31,639 --> 00:02:35,000 Speaker 1: a tiny Indian tribe in the Americas in the year 39 00:02:35,080 --> 00:02:39,360 Speaker 1: of seventeen hundred. You need a medicine man. You need 40 00:02:39,480 --> 00:02:41,679 Speaker 1: a tent where you can go to where there's a 41 00:02:41,720 --> 00:02:44,440 Speaker 1: grizzled old man who will tell you to mix this 42 00:02:44,639 --> 00:02:46,560 Speaker 1: root with this kind of mud and rub it in 43 00:02:46,600 --> 00:02:48,880 Speaker 1: your eyes and leave it there until you're blind, and 44 00:02:48,919 --> 00:02:49,720 Speaker 1: that'll get your. 45 00:02:49,560 --> 00:02:52,919 Speaker 2: Cold away reliable. I don't know, but the people have to. 46 00:02:52,880 --> 00:02:58,880 Speaker 1: Believe it is otherwise things go crazy. Now our medical 47 00:02:58,880 --> 00:03:03,760 Speaker 1: institutions have violated our trust over and over and over 48 00:03:03,880 --> 00:03:08,520 Speaker 1: again in this country, and so much of this. If 49 00:03:08,520 --> 00:03:10,720 Speaker 1: you're real young, maybe you think it was always like this. 50 00:03:10,800 --> 00:03:14,160 Speaker 2: It was not. For most of my life. You trusted 51 00:03:14,200 --> 00:03:14,720 Speaker 2: your doctor. 52 00:03:15,280 --> 00:03:16,560 Speaker 1: But if you had to go to the er or 53 00:03:16,600 --> 00:03:19,720 Speaker 1: the hospital for something God forbid, you trusted the nurses. 54 00:03:19,800 --> 00:03:24,520 Speaker 1: You trusted the healthcare institutions. How did they get like 55 00:03:24,560 --> 00:03:28,480 Speaker 1: they are now? But like so many things, it comes 56 00:03:28,520 --> 00:03:29,200 Speaker 1: back to this man. 57 00:03:33,520 --> 00:03:36,440 Speaker 3: First, no matter what you've heard, if you like your 58 00:03:36,480 --> 00:03:40,160 Speaker 3: doctor or healthcare plan, you can keep it. If you 59 00:03:40,160 --> 00:03:43,880 Speaker 3: don't have insurance, you'll finally be able to afford insurance 60 00:03:44,360 --> 00:03:51,480 Speaker 3: and everyone will have the security and stability that's missing today. 61 00:03:51,600 --> 00:03:53,400 Speaker 2: Yeah, Obamacare. 62 00:03:54,600 --> 00:03:57,280 Speaker 1: You want to know why, in large part, you don't 63 00:03:57,320 --> 00:04:00,839 Speaker 1: trust your doctor anymore? By your nurses a demon. Now 64 00:04:01,240 --> 00:04:03,160 Speaker 1: we'll get to that part in a moment. You want 65 00:04:03,160 --> 00:04:05,240 Speaker 1: to know why you go to the doctor's office, Well, 66 00:04:05,280 --> 00:04:07,280 Speaker 1: you know what. Pause, Let me explain what it used 67 00:04:07,280 --> 00:04:10,440 Speaker 1: to be like. This is for anyone who's younger. If 68 00:04:10,480 --> 00:04:14,960 Speaker 1: you went to the doctor's office. Let's say your back hurts, 69 00:04:15,480 --> 00:04:17,000 Speaker 1: you wanted to go to the doctor's office. 70 00:04:17,440 --> 00:04:19,400 Speaker 2: You would sit down in the doctor's office. 71 00:04:19,600 --> 00:04:21,599 Speaker 1: Your nurse would come in and should check your vitals 72 00:04:21,640 --> 00:04:24,799 Speaker 1: just like today, blood pressure, all that. And then the doctor, 73 00:04:24,839 --> 00:04:28,039 Speaker 1: your doctor who knows you, he would come in and 74 00:04:28,040 --> 00:04:30,240 Speaker 1: he would sit down with you, and you would sit 75 00:04:30,880 --> 00:04:32,640 Speaker 1: and you would talk face to face. 76 00:04:33,240 --> 00:04:34,400 Speaker 2: He'd look you in the eye. 77 00:04:35,040 --> 00:04:39,920 Speaker 1: He would even discuss things that didn't involve giving prescriptions 78 00:04:39,920 --> 00:04:43,839 Speaker 1: for things. Hey, your back hurts. Have you been working out? 79 00:04:44,200 --> 00:04:46,160 Speaker 1: You know you need to go for a walk through 80 00:04:46,240 --> 00:04:49,400 Speaker 1: some sit ups, get that core, strengthen your doc and 81 00:04:49,480 --> 00:04:53,159 Speaker 1: you would sit down and have a conversation. You know 82 00:04:53,200 --> 00:04:55,120 Speaker 1: what you see now when you go in the doctor's office. 83 00:04:55,800 --> 00:04:57,720 Speaker 1: The back of his head the whole time. You know 84 00:04:57,720 --> 00:04:59,440 Speaker 1: why you see the back of his head because he's 85 00:04:59,440 --> 00:05:02,600 Speaker 1: facing a w from you, typing into a computer, clicking 86 00:05:02,600 --> 00:05:04,360 Speaker 1: on this, clicking and what did you say? 87 00:05:04,480 --> 00:05:06,400 Speaker 2: What do you want to know? Why? 88 00:05:07,600 --> 00:05:12,320 Speaker 1: Because Obamacare created this thing in medicine where now it's 89 00:05:12,360 --> 00:05:16,200 Speaker 1: only money, it's only this checkbox and that checkbox, and 90 00:05:16,240 --> 00:05:21,760 Speaker 1: this insurance thing and that pharmaceutical thing. It became completely impersonal. 91 00:05:22,160 --> 00:05:24,560 Speaker 1: You you're just dollars and cents. 92 00:05:24,760 --> 00:05:25,520 Speaker 2: Oh, you came in. 93 00:05:25,600 --> 00:05:28,440 Speaker 1: Your toe is sore. Here's twenty five prescriptions. Come back 94 00:05:28,480 --> 00:05:31,200 Speaker 1: and see me next week. We'll get your refill. That's 95 00:05:31,240 --> 00:05:34,240 Speaker 1: what it became. And of course it filtered all the 96 00:05:34,240 --> 00:05:37,920 Speaker 1: way down into the medical institutions that are now fully 97 00:05:37,960 --> 00:05:43,000 Speaker 1: captured by the Communists and training legions of future communists 98 00:05:43,000 --> 00:05:45,800 Speaker 1: to look after you and your bed while you're laying 99 00:05:45,880 --> 00:05:48,720 Speaker 1: there sick. I can't wait to be treated like these 100 00:05:48,760 --> 00:05:51,160 Speaker 1: students from Columbia. 101 00:05:51,240 --> 00:05:56,120 Speaker 4: I promised to self reflect diligently, to confront unconscious prejudices, 102 00:05:56,600 --> 00:06:00,200 Speaker 4: and to develop the skills, knowledge, and character necessary right 103 00:06:00,279 --> 00:06:04,200 Speaker 4: to and gender an inclusive, equitable field of medicine. Let 104 00:06:04,240 --> 00:06:07,279 Speaker 4: us bow our heads and recognition of the gravity of 105 00:06:07,320 --> 00:06:11,360 Speaker 4: this show. We swear to faithfully engage with these ideals 106 00:06:11,360 --> 00:06:19,520 Speaker 4: and obligations for the ongoing betterment of medicine and humanity. 107 00:06:19,839 --> 00:06:20,599 Speaker 2: That's where we're at. 108 00:06:22,080 --> 00:06:27,440 Speaker 1: And we didn't realize fully where we're at until COVID came. 109 00:06:28,080 --> 00:06:31,560 Speaker 1: We thought we still had medical institutions we could trust, 110 00:06:32,480 --> 00:06:33,800 Speaker 1: and then we saw things like this. 111 00:06:34,360 --> 00:06:38,240 Speaker 5: You really should, in an indoor setting, a congregous setting, 112 00:06:38,320 --> 00:06:41,920 Speaker 5: be wearing masks. It's just the appropriate thing to do 113 00:06:42,000 --> 00:06:45,400 Speaker 5: to defend, to protect yourself and your family. 114 00:06:45,600 --> 00:06:49,640 Speaker 6: Our data from the CDCs today suggests you know that 115 00:06:50,200 --> 00:06:53,560 Speaker 6: vaccinated people do not carry the virus, don't get sick. 116 00:06:53,800 --> 00:06:57,719 Speaker 7: If we really do our part stay at home social distance, 117 00:06:57,920 --> 00:07:01,839 Speaker 7: then we can flatten our curve even low those projections. 118 00:07:01,920 --> 00:07:03,760 Speaker 7: But it really depends on all of us. 119 00:07:04,000 --> 00:07:07,560 Speaker 6: I'm making the personal sacrifices not to infect my parents 120 00:07:07,560 --> 00:07:10,640 Speaker 6: and my pregnant daughter. I worry about that because then 121 00:07:10,720 --> 00:07:14,080 Speaker 6: it gives people the option to say, well, bars and 122 00:07:14,120 --> 00:07:17,800 Speaker 6: restaurants are open. Then I can have twenty people over 123 00:07:17,920 --> 00:07:20,880 Speaker 6: for Thanksgiving, and so I don't like it to be 124 00:07:20,960 --> 00:07:23,960 Speaker 6: any number. I like it to keep it to your 125 00:07:24,000 --> 00:07:26,920 Speaker 6: immediate household. 126 00:07:27,760 --> 00:07:29,480 Speaker 2: Lie after lie after lie. 127 00:07:30,840 --> 00:07:36,040 Speaker 1: Remember the closure of your kid's school, Remember the footprints 128 00:07:36,040 --> 00:07:40,520 Speaker 1: in the grocery store. Remember the local family owned restaurant 129 00:07:40,560 --> 00:07:42,880 Speaker 1: that had been there for forty years that closed its 130 00:07:42,920 --> 00:07:47,320 Speaker 1: doors and never opened again. Remember it was all based 131 00:07:47,360 --> 00:07:49,800 Speaker 1: on the concept of social distancing. 132 00:07:50,360 --> 00:07:53,560 Speaker 7: Here's what I want you and America to know. Those 133 00:07:53,600 --> 00:07:58,720 Speaker 7: projections are definitely sobering, but they don't have to be 134 00:07:58,840 --> 00:07:59,560 Speaker 7: our reality. 135 00:08:00,080 --> 00:08:02,000 Speaker 2: If we really do our part. 136 00:08:02,040 --> 00:08:05,440 Speaker 7: Stay at home social distance, then we can flatten our 137 00:08:05,440 --> 00:08:07,920 Speaker 7: curve even below those projections. 138 00:08:08,080 --> 00:08:12,440 Speaker 6: Social distancing is absolutely critical, and if you can't social 139 00:08:12,480 --> 00:08:15,000 Speaker 6: distance and you're outside, you must wear a mask. 140 00:08:15,080 --> 00:08:21,280 Speaker 8: Other than wearing masks, washing hands, avoiding crowds, and social distancing, 141 00:08:21,800 --> 00:08:24,680 Speaker 8: what more on a policy level do we in the 142 00:08:24,760 --> 00:08:26,080 Speaker 8: United States need to be doing? 143 00:08:28,400 --> 00:08:28,600 Speaker 2: Well? 144 00:08:28,640 --> 00:08:30,920 Speaker 5: What we've got to do is make what you just said, Jake, 145 00:08:31,080 --> 00:08:34,240 Speaker 5: uniform and not spotty. Everybody's got to do it. There's 146 00:08:34,280 --> 00:08:37,360 Speaker 5: no excuse not to do that right now because we 147 00:08:37,440 --> 00:08:39,040 Speaker 5: know that can turn things around. 148 00:08:41,160 --> 00:08:45,160 Speaker 1: So why did that local mom and pop restaurant close? 149 00:08:46,000 --> 00:08:50,880 Speaker 1: Why did your child misgraduation? Why did business after business 150 00:08:50,920 --> 00:08:53,640 Speaker 1: go under the idea of social distancing? 151 00:08:53,920 --> 00:08:56,640 Speaker 2: So that of course begs the question. 152 00:08:57,040 --> 00:09:00,040 Speaker 1: Where did the medical professionals we're supposed to try t 153 00:09:00,160 --> 00:09:01,400 Speaker 1: us get that idea. 154 00:09:02,160 --> 00:09:04,719 Speaker 9: The initial recommendation that the CDC brought to the White House, 155 00:09:04,760 --> 00:09:07,360 Speaker 9: and I talk about this was ten feet, and a 156 00:09:07,400 --> 00:09:10,040 Speaker 9: political appointing in a White House said, we can't recommend 157 00:09:10,040 --> 00:09:13,040 Speaker 9: ten feet. Nobody can measure ten feet. It's inoperable society 158 00:09:13,080 --> 00:09:15,480 Speaker 9: will shut down. So the compromise was around. 159 00:09:19,000 --> 00:09:19,320 Speaker 2: Evil. 160 00:09:21,720 --> 00:09:24,640 Speaker 1: We have to get that trust back, especially in our 161 00:09:24,679 --> 00:09:28,559 Speaker 1: medical institutions. It's too important. We are going to discuss 162 00:09:28,600 --> 00:09:31,120 Speaker 1: that tonight. Tracy Bens joins us in just the moment. 163 00:09:31,160 --> 00:09:33,840 Speaker 1: She's one of these health freaks. All that may have 164 00:09:33,920 --> 00:09:36,040 Speaker 1: made you uncomfortable, but I am right. 165 00:09:36,720 --> 00:09:37,280 Speaker 2: We'll be back. 166 00:09:38,240 --> 00:09:42,800 Speaker 1: You know, sometimes you discover that you've been doing something 167 00:09:42,840 --> 00:09:45,360 Speaker 1: wrong your whole life, and maybe you feel kind of 168 00:09:45,400 --> 00:09:45,920 Speaker 1: bad about it. 169 00:09:45,960 --> 00:09:48,440 Speaker 2: You ever had one of those times about anything that 170 00:09:48,559 --> 00:09:49,559 Speaker 2: was me? With all of oil? 171 00:09:49,920 --> 00:09:52,960 Speaker 1: Who thinks about the wrong of oil? You just always 172 00:09:53,000 --> 00:09:55,679 Speaker 1: have a bottle. So there was some green bottle sitting 173 00:09:55,760 --> 00:09:57,600 Speaker 1: by the stove, and whenever you need to go, you just. 174 00:09:57,600 --> 00:09:58,400 Speaker 2: Dab some in there. 175 00:09:58,400 --> 00:10:01,960 Speaker 1: It's alive oil. Thinks about it? Your olive oil is 176 00:10:02,000 --> 00:10:05,600 Speaker 1: old and bland and flavorless, and we don't think about 177 00:10:05,640 --> 00:10:07,720 Speaker 1: it because we don't know any better. We go to 178 00:10:07,760 --> 00:10:09,760 Speaker 1: the grocery store. We go down to the grocery out. 179 00:10:09,800 --> 00:10:12,400 Speaker 1: Did you know some of that stuff is years old? 180 00:10:12,679 --> 00:10:14,199 Speaker 1: Did you know that years old? 181 00:10:15,120 --> 00:10:16,079 Speaker 2: Get a bottle that. 182 00:10:16,120 --> 00:10:19,880 Speaker 1: Is fresh from a farm, change your whole life. Farm 183 00:10:19,960 --> 00:10:22,400 Speaker 1: Fresh two four six dot com will send you a 184 00:10:22,480 --> 00:10:25,200 Speaker 1: bottle fresh from a farm. They'll send you a free 185 00:10:25,240 --> 00:10:28,440 Speaker 1: one thirty nine dollars bottle free. You pay a buck 186 00:10:28,520 --> 00:10:32,880 Speaker 1: help cover the shipping farm Fresh two four six dot 187 00:10:32,880 --> 00:10:36,840 Speaker 1: com go discover the wonder of good olive oil. 188 00:10:47,480 --> 00:10:49,840 Speaker 6: Don't take Tyler all. 189 00:10:49,880 --> 00:10:51,959 Speaker 2: Don't take it. Take it if you're pregnant, don't take 190 00:10:52,000 --> 00:10:53,520 Speaker 2: Thailand all. Don't don't do it. 191 00:10:53,559 --> 00:10:55,800 Speaker 6: Don't cake Thilan all. 192 00:10:55,880 --> 00:10:59,160 Speaker 10: Don't take get and don't give tyland All to your child. 193 00:10:59,520 --> 00:11:03,240 Speaker 2: Don't take thyland All. Don't take it. Don't have your 194 00:11:03,280 --> 00:11:05,400 Speaker 2: baby take Tyler know, just don't get it. 195 00:11:05,559 --> 00:11:08,880 Speaker 7: Don't cake thiland all, don't take get tank. 196 00:11:09,000 --> 00:11:09,920 Speaker 2: Nothing bad can happen. 197 00:11:10,000 --> 00:11:11,280 Speaker 11: It can only could happen. 198 00:11:13,040 --> 00:11:17,760 Speaker 2: It's so immature. It's the Elon musk part of it 199 00:11:17,800 --> 00:11:20,040 Speaker 2: that makes me laugh. All right, quit, we're not here 200 00:11:20,080 --> 00:11:20,360 Speaker 2: to joke. 201 00:11:20,400 --> 00:11:22,240 Speaker 1: We're here to talk to Tracy joining me now, the 202 00:11:22,360 --> 00:11:25,720 Speaker 1: editor in chief of Undercovered DC, my friend Tracy Bans 203 00:11:26,000 --> 00:11:29,720 Speaker 1: All right, Tracy, A lot was made about the Thailand 204 00:11:29,760 --> 00:11:32,760 Speaker 1: all during pregnancy thing, and of course young beatheads like 205 00:11:32,800 --> 00:11:35,599 Speaker 1: my sons are calling their friends Thailand all Americans. 206 00:11:35,640 --> 00:11:38,240 Speaker 2: Now, what is the truth of all this Thailand all stuff? 207 00:11:39,280 --> 00:11:42,440 Speaker 12: Well, they found there was a causal link between the 208 00:11:42,520 --> 00:11:45,920 Speaker 12: use of thailand All and autism in children when moms 209 00:11:45,960 --> 00:11:49,760 Speaker 12: took it during pregnancy, or as doctors advise you to 210 00:11:49,840 --> 00:11:52,480 Speaker 12: do after you shoot your child up with seven hundred 211 00:11:52,559 --> 00:11:55,520 Speaker 12: vaccines in their first visit, give them thailand all when 212 00:11:55,520 --> 00:11:58,360 Speaker 12: their immune system reacts and they get a fever, and 213 00:11:58,400 --> 00:12:01,840 Speaker 12: thailand All can mess with certain pathways that allow the 214 00:12:01,880 --> 00:12:06,080 Speaker 12: body to cleanse itself of heavy metals and toxins. So 215 00:12:06,480 --> 00:12:11,320 Speaker 12: the causal link between thailanol and autism is actually likely, 216 00:12:11,360 --> 00:12:15,439 Speaker 12: in my humble opinion, more of the impact of thilanol 217 00:12:15,559 --> 00:12:19,960 Speaker 12: stopping the body from being able to detoxify itself from 218 00:12:20,000 --> 00:12:23,280 Speaker 12: the assault it had just undergone at the doctor's office. 219 00:12:24,800 --> 00:12:27,000 Speaker 1: All right, Tracy, we're gonna go ahead and pause here 220 00:12:27,040 --> 00:12:29,959 Speaker 1: for a moment. I need you in your health freak ways, 221 00:12:30,280 --> 00:12:32,680 Speaker 1: just like my wife, to explain what you're talking about 222 00:12:32,720 --> 00:12:35,439 Speaker 1: when you talk about heavy metals and things like that, 223 00:12:35,720 --> 00:12:38,640 Speaker 1: because morons like me or that and we think metallica, 224 00:12:38,960 --> 00:12:41,760 Speaker 1: that's not what you're discussing. What are you talking about 225 00:12:41,800 --> 00:12:44,080 Speaker 1: heavy metals in your body cleansing? 226 00:12:44,520 --> 00:12:45,040 Speaker 2: What is this? 227 00:12:46,160 --> 00:12:48,600 Speaker 12: Let's get Metallica to the super Bowl, That's what I 228 00:12:48,640 --> 00:12:54,200 Speaker 12: have to say to that anyway. So when you are 229 00:12:54,240 --> 00:12:56,960 Speaker 12: injected with the vaccine, there needs to be something in 230 00:12:57,000 --> 00:13:01,320 Speaker 12: the vaccine to agitate the body to react to the 231 00:13:01,400 --> 00:13:04,839 Speaker 12: virus or whatever they're injecting you with, right, trying to 232 00:13:04,880 --> 00:13:07,440 Speaker 12: make you immune from and they use heavy metals to 233 00:13:07,480 --> 00:13:11,040 Speaker 12: do that. So aluminum, mercury, other metals are in these 234 00:13:11,120 --> 00:13:14,680 Speaker 12: childhood vaccines that then go into the body. The body says, ooh, 235 00:13:14,720 --> 00:13:18,520 Speaker 12: what's that and reacts to it, thereby building an immune 236 00:13:18,559 --> 00:13:22,480 Speaker 12: response to the thing delivered with the metal. Right, So 237 00:13:22,960 --> 00:13:25,360 Speaker 12: once that's over, what is your body going to do 238 00:13:25,440 --> 00:13:28,800 Speaker 12: with that? It doesn't want it. But the tile and 239 00:13:28,880 --> 00:13:32,800 Speaker 12: all potentially blocks the pathways the body would use to 240 00:13:32,840 --> 00:13:36,120 Speaker 12: get rid of those metals after the injection. So does 241 00:13:36,160 --> 00:13:36,480 Speaker 12: that help? 242 00:13:36,640 --> 00:13:37,160 Speaker 9: Is that better? 243 00:13:38,480 --> 00:13:41,240 Speaker 1: That actually helped a great deal? Now I feel so 244 00:13:41,320 --> 00:13:43,640 Speaker 1: much smarter. I'm going to tell all my friends this now. Okay, 245 00:13:44,800 --> 00:13:48,199 Speaker 1: let's talk back more about the tailean All thing. Thailand 246 00:13:48,240 --> 00:13:51,880 Speaker 1: All has been publicly lampooned for putting this out publicly 247 00:13:52,000 --> 00:13:55,080 Speaker 1: years ago that he pregnant women maybe shouldn't take it. 248 00:13:55,320 --> 00:13:57,080 Speaker 2: So if this is something that has been. 249 00:13:57,400 --> 00:14:01,120 Speaker 1: Kind of known for quite some time, why would it 250 00:14:01,200 --> 00:14:04,760 Speaker 1: take this long to just come out and say it is. 251 00:14:05,760 --> 00:14:08,280 Speaker 1: What was the political motivation or what maybe there was none? 252 00:14:08,320 --> 00:14:09,040 Speaker 1: Explain this to me. 253 00:14:09,880 --> 00:14:12,400 Speaker 12: I think it's money. I really do. I really think 254 00:14:12,440 --> 00:14:15,520 Speaker 12: it's money. And you know, the craziest thing I ever 255 00:14:15,559 --> 00:14:18,640 Speaker 12: saw a teeny bit off topic was during the COVID fiasco. 256 00:14:19,120 --> 00:14:23,120 Speaker 12: There was a pregnant woman on TikTok and she was 257 00:14:23,160 --> 00:14:25,560 Speaker 12: about eight months along and she was like, I just 258 00:14:25,640 --> 00:14:28,800 Speaker 12: went and got my COVID shot, but I'm nervous about 259 00:14:28,840 --> 00:14:32,680 Speaker 12: taking tile and all. And I'm sitting here like, okay, 260 00:14:32,720 --> 00:14:34,840 Speaker 12: so you're nervous about taking tile and all and over 261 00:14:34,920 --> 00:14:38,040 Speaker 12: the counter medication, but you just got yourself injected with 262 00:14:38,200 --> 00:14:42,200 Speaker 12: an experimental vaccine that hasn't really been tested on pregnant 263 00:14:42,200 --> 00:14:45,880 Speaker 12: women at all, And that's okay. People are just not 264 00:14:46,080 --> 00:14:50,040 Speaker 12: thinking straight, you know, we as women, at least me. 265 00:14:50,120 --> 00:14:52,760 Speaker 12: When I was pregnant with my kids, I didn't eat 266 00:14:53,000 --> 00:14:55,880 Speaker 12: you know, cold cuts, because they talked about the danger 267 00:14:55,920 --> 00:14:58,600 Speaker 12: of those. I stayed away from cats. But when I 268 00:14:58,680 --> 00:15:02,040 Speaker 12: was sick, I took tile and all. You just figure 269 00:15:02,120 --> 00:15:04,520 Speaker 12: because it's available over the counter, it's safe, And then 270 00:15:04,760 --> 00:15:08,440 Speaker 12: why go around and talk to any about the anybody 271 00:15:08,480 --> 00:15:10,400 Speaker 12: about the danger of it. After that, when it's making 272 00:15:10,480 --> 00:15:13,360 Speaker 12: so much money. There was a huge push to get 273 00:15:13,400 --> 00:15:16,200 Speaker 12: tile and all available over the counter. And it's actually 274 00:15:16,400 --> 00:15:18,520 Speaker 12: not good for you at all. You think you're taking 275 00:15:18,560 --> 00:15:22,400 Speaker 12: something safe. It's really very bad for everybody, not just 276 00:15:23,040 --> 00:15:27,320 Speaker 12: pregnant women. So you know, just heal yourself naturally, start 277 00:15:27,320 --> 00:15:29,280 Speaker 12: taking care of your body, putting good food in it, 278 00:15:31,040 --> 00:15:32,000 Speaker 12: and then don't get sick. 279 00:15:32,280 --> 00:15:35,280 Speaker 9: It's very simple, right. 280 00:15:35,280 --> 00:15:37,640 Speaker 2: Red Lobster. All right, Setting that aside, let's talk a 281 00:15:37,680 --> 00:15:38,360 Speaker 2: little big. 282 00:15:38,200 --> 00:15:42,880 Speaker 1: Pharma because Trump recently talked to the head of Pheiser. 283 00:15:43,000 --> 00:15:43,840 Speaker 2: Here. He was. 284 00:15:45,480 --> 00:15:48,680 Speaker 1: I'm curious, where are the other companies other than Peiser? 285 00:15:49,440 --> 00:15:52,160 Speaker 11: Are you expecting them to And I was. 286 00:15:52,160 --> 00:15:55,520 Speaker 10: Honored to have Albert be the first. He's done a 287 00:15:55,520 --> 00:15:58,680 Speaker 10: fantastic job with as you know, with the COVID, he 288 00:15:58,760 --> 00:16:00,920 Speaker 10: did a fantastic job with a lot of things. He's 289 00:16:00,920 --> 00:16:05,560 Speaker 10: a leader, and Pfizer is right at the top. You know, 290 00:16:05,640 --> 00:16:09,080 Speaker 10: it's there. Eli Lilly has been fantastic, also your friend, 291 00:16:09,280 --> 00:16:12,440 Speaker 10: my friend, and they're all coming in over the next week. 292 00:16:12,560 --> 00:16:14,040 Speaker 10: We're making deals with all of them. 293 00:16:15,480 --> 00:16:15,800 Speaker 12: Great. 294 00:16:16,680 --> 00:16:18,920 Speaker 2: Uh, that made me feel lucky. 295 00:16:19,800 --> 00:16:22,680 Speaker 12: I mean, seriously, you know, it's so hard with this 296 00:16:22,720 --> 00:16:26,800 Speaker 12: administration because he takes ten steps forward and then takes five, six, seven, 297 00:16:26,880 --> 00:16:30,520 Speaker 12: eight back, and you just wonder where he's getting information 298 00:16:30,600 --> 00:16:35,440 Speaker 12: from and what he's paying attention to. The bottom line 299 00:16:35,480 --> 00:16:38,440 Speaker 12: is this, our country is very, very sick, and a 300 00:16:38,600 --> 00:16:41,880 Speaker 12: very large majority of our country is dependent upon pharmaceutical 301 00:16:41,920 --> 00:16:45,360 Speaker 12: medications instead of just being healthy, like I said, and 302 00:16:45,400 --> 00:16:46,480 Speaker 12: going to red lobster. 303 00:16:46,680 --> 00:16:47,160 Speaker 13: I don't know. 304 00:16:47,320 --> 00:16:50,280 Speaker 12: I mean, if that's what your bag is, baby, I guess. 305 00:16:50,440 --> 00:16:55,040 Speaker 12: But if we were healthy, we wouldn't need the pharmaceutical companies. 306 00:16:55,200 --> 00:16:58,800 Speaker 12: So we're in this hamster wheel of millions of sick 307 00:16:58,840 --> 00:17:02,960 Speaker 12: Americans dependent on prescription drugs and drug companies like Pfizer 308 00:17:03,120 --> 00:17:05,439 Speaker 12: jacking up the cost of those drugs for the people 309 00:17:05,480 --> 00:17:09,159 Speaker 12: that need them. So should he make a deal with 310 00:17:09,240 --> 00:17:12,280 Speaker 12: Pfizer and say great things about them? No, But we 311 00:17:12,440 --> 00:17:16,560 Speaker 12: also have a nation of very, very very ill individuals 312 00:17:16,600 --> 00:17:19,840 Speaker 12: who are now dependent upon medicine to live. And so 313 00:17:20,200 --> 00:17:23,280 Speaker 12: what RFK is doing is trying to tackle that issue 314 00:17:23,800 --> 00:17:27,840 Speaker 12: not necessarily emboldened the pharmaceutical companies, which is what's been 315 00:17:27,880 --> 00:17:31,359 Speaker 12: happening for you know, gosh, fifty sixty seventy years now. 316 00:17:31,720 --> 00:17:33,119 Speaker 12: I hated it it was terrible. 317 00:17:34,720 --> 00:17:36,919 Speaker 1: Tracy is I know this is kind of a chicken 318 00:17:37,000 --> 00:17:39,840 Speaker 1: or the egg question, but I generally find it fascinating 319 00:17:39,840 --> 00:17:41,960 Speaker 1: because when you look at how pilled out America is 320 00:17:41,960 --> 00:17:44,840 Speaker 1: in the studies, it's eye popping that the wealth is 321 00:17:44,960 --> 00:17:46,960 Speaker 1: the most powerful country in the history of the world, 322 00:17:47,040 --> 00:17:50,240 Speaker 1: would be pilled out of his mind? What came first, 323 00:17:50,280 --> 00:17:53,680 Speaker 1: the unhealth or the pills, because it's very noticeable. 324 00:17:55,160 --> 00:18:00,800 Speaker 12: What probably the unhealth came first? And it really started 325 00:18:00,920 --> 00:18:05,680 Speaker 12: amping up with You're gonna love this one, truthfully, when 326 00:18:05,800 --> 00:18:08,680 Speaker 12: moms started going to work instead of staying home to 327 00:18:08,720 --> 00:18:10,560 Speaker 12: take care of their children where I think that they 328 00:18:10,560 --> 00:18:15,240 Speaker 12: should be in my opinion, meals went downhill. Everything needed 329 00:18:15,240 --> 00:18:18,159 Speaker 12: to be convenient. Time was less spent on, you know, 330 00:18:18,240 --> 00:18:21,159 Speaker 12: taking care of your kids. Not only that, but the 331 00:18:21,280 --> 00:18:24,360 Speaker 12: vaccine started being mandated and then we started getting all 332 00:18:24,440 --> 00:18:27,680 Speaker 12: kinds of disease after that, so food quality went down. 333 00:18:28,119 --> 00:18:30,959 Speaker 12: Moms were busy outside the house. The whole women's you know, 334 00:18:31,160 --> 00:18:36,359 Speaker 12: feminism movement that I wish never happened, happened, and so 335 00:18:36,440 --> 00:18:39,000 Speaker 12: you have moms not paying attention to their kids, feeding 336 00:18:39,040 --> 00:18:41,560 Speaker 12: them garbage, which makes them sick. And after a while 337 00:18:42,240 --> 00:18:44,680 Speaker 12: we have to play catch up and we're there so 338 00:18:45,200 --> 00:18:48,080 Speaker 12: and that that trickled up, right, So from kids eating 339 00:18:48,160 --> 00:18:51,199 Speaker 12: McDonald's that used to be cooked a lot better to 340 00:18:52,000 --> 00:18:54,240 Speaker 12: them becoming adults and doing the same thing over again. 341 00:18:54,280 --> 00:18:57,080 Speaker 12: We've now got about two generations, if not three, that 342 00:18:57,160 --> 00:18:59,960 Speaker 12: are very, very unhealthy. And it's really in my opinion, 343 00:19:00,040 --> 00:19:01,880 Speaker 12: and a lot of it was convenience, and a lot 344 00:19:01,920 --> 00:19:07,160 Speaker 12: of it was the mandated vaccines for kids. And during school. 345 00:19:08,440 --> 00:19:09,840 Speaker 1: I knew it was going to be tied to women 346 00:19:09,880 --> 00:19:11,720 Speaker 1: going into the workforce. I knew it, and I blamed 347 00:19:11,800 --> 00:19:14,680 Speaker 1: so many of our problems on exactly that. All right, Tracy, 348 00:19:15,280 --> 00:19:17,840 Speaker 1: tell me about an inconvenient study? 349 00:19:17,840 --> 00:19:18,320 Speaker 2: What is this? 350 00:19:19,560 --> 00:19:24,080 Speaker 12: So I'm speaking on behalf of myself right now. This 351 00:19:24,640 --> 00:19:27,480 Speaker 12: was a This is a film that's about a study 352 00:19:27,640 --> 00:19:31,160 Speaker 12: that was done at Henry Ford Health Center where they 353 00:19:31,200 --> 00:19:37,520 Speaker 12: compared unvaccinated to vaccinated children and looked at the differences 354 00:19:37,520 --> 00:19:40,240 Speaker 12: in health outcomes between the two. And what this study 355 00:19:40,280 --> 00:19:43,800 Speaker 12: that was not published shows is that at least in 356 00:19:43,840 --> 00:19:46,480 Speaker 12: this category, this is the one that got me, vaccinated 357 00:19:46,520 --> 00:19:49,040 Speaker 12: children were six times more likely to have an autoimmune 358 00:19:49,040 --> 00:19:54,520 Speaker 12: disease than on vaccinated children other asthma, ezema, other health 359 00:19:54,600 --> 00:19:57,840 Speaker 12: issues three times more likely four times more likely in 360 00:19:57,880 --> 00:20:00,960 Speaker 12: the vaccinated cohort. And that study was no published and 361 00:20:01,680 --> 00:20:05,320 Speaker 12: now it was. So this movie is going or is 362 00:20:05,359 --> 00:20:08,600 Speaker 12: going to go through and show what that study showed 363 00:20:08,600 --> 00:20:11,480 Speaker 12: and the story behind it. And I'm excited to see 364 00:20:11,480 --> 00:20:13,920 Speaker 12: it because I think it's something. There have been six 365 00:20:14,040 --> 00:20:16,840 Speaker 12: or seven other studies like this done and never getting 366 00:20:16,920 --> 00:20:20,160 Speaker 12: any attention, and this one was from a very well 367 00:20:20,200 --> 00:20:24,719 Speaker 12: respected health institution at Henry Ford, and so the results 368 00:20:24,720 --> 00:20:28,280 Speaker 12: of that should be made public for for everybody to see. 369 00:20:28,320 --> 00:20:31,600 Speaker 12: And you can actually find it on the House I'm sorry, 370 00:20:31,800 --> 00:20:34,560 Speaker 12: Senator Ron Johnson's website because he was the one who 371 00:20:34,560 --> 00:20:37,240 Speaker 12: brought it forward and they had a hearing on it 372 00:20:37,280 --> 00:20:39,120 Speaker 12: a couple weeks ago. It's pretty stunning, and I think 373 00:20:39,160 --> 00:20:42,240 Speaker 12: if parents saw this, they would at least have a 374 00:20:42,240 --> 00:20:45,160 Speaker 12: little bit more informed consent when making choices about vaccinating 375 00:20:45,200 --> 00:20:45,760 Speaker 12: their children. 376 00:20:47,280 --> 00:20:49,760 Speaker 1: Okay, so two things that I want you to clarify. 377 00:20:49,800 --> 00:20:53,040 Speaker 1: When you talk about vaccinations of children. We're not talking 378 00:20:53,080 --> 00:20:55,920 Speaker 1: about COVID. We're talking about the standard vaxes, right, the 379 00:20:56,240 --> 00:20:58,159 Speaker 1: ones that are thought that every parent's told they have 380 00:20:58,200 --> 00:21:00,280 Speaker 1: to give David Show. Okay, that's one yeah. 381 00:21:00,320 --> 00:21:01,880 Speaker 2: Two. Why wasn't it published? 382 00:21:03,400 --> 00:21:08,879 Speaker 12: I don't know my opinion, probably because it showed that 383 00:21:08,920 --> 00:21:11,360 Speaker 12: there was a six times greater chance of your child 384 00:21:11,440 --> 00:21:15,159 Speaker 12: having an autoimmune disease if they were vaccinated. Just throwing 385 00:21:15,160 --> 00:21:19,160 Speaker 12: it out there. Because health became politicized Jesse instead of health. 386 00:21:19,720 --> 00:21:25,399 Speaker 12: Because healthcare became politicized from insurance to illness. Healthcare is 387 00:21:25,440 --> 00:21:27,920 Speaker 12: now politics, and that is absolutely not the way it 388 00:21:27,960 --> 00:21:28,320 Speaker 12: should be. 389 00:21:29,760 --> 00:21:31,160 Speaker 2: That's whine. It's ugly. 390 00:21:32,080 --> 00:21:35,240 Speaker 1: It is an inconvenient study. Highly recommend you go see it. 391 00:21:35,280 --> 00:21:40,800 Speaker 1: Thank you, Tracy, appreciate it. Doctor Aaron Carrioty is going 392 00:21:40,880 --> 00:21:42,480 Speaker 1: to join us next. 393 00:21:43,640 --> 00:21:47,280 Speaker 2: I love chips. Did you know that I'm a chip freak. 394 00:21:47,720 --> 00:21:50,080 Speaker 1: When I was a kid, I used to beg my 395 00:21:50,160 --> 00:21:52,440 Speaker 1: parents to let me have chips, and if they would 396 00:21:52,480 --> 00:21:54,400 Speaker 1: just give me a bag, which they would never do, 397 00:21:54,640 --> 00:21:57,200 Speaker 1: I would lay wasted like an entire bag of Dorito's 398 00:21:57,280 --> 00:22:00,000 Speaker 1: or something like that. So I have a real chip problem. 399 00:22:00,400 --> 00:22:02,840 Speaker 1: I have to be regulated with my chips. But I'm 400 00:22:02,880 --> 00:22:05,960 Speaker 1: forty four now and I've come to realize these chips 401 00:22:05,960 --> 00:22:07,679 Speaker 1: are freaking terrible for you. 402 00:22:07,880 --> 00:22:08,640 Speaker 2: They just are. 403 00:22:08,840 --> 00:22:12,560 Speaker 1: There's all sorts of garbage in them, seed oils and 404 00:22:12,640 --> 00:22:15,320 Speaker 1: you name it, but not Massa chips. 405 00:22:16,040 --> 00:22:18,760 Speaker 2: Finally a delicious chip. 406 00:22:18,720 --> 00:22:20,959 Speaker 1: That is guilt free. I know there have been hoothy 407 00:22:21,119 --> 00:22:24,840 Speaker 1: chips before. They're all disgusting. They taste like cardboard. You 408 00:22:24,920 --> 00:22:30,280 Speaker 1: want one that's just beef, tallow salt, corn deliciousness. Massa chips, 409 00:22:30,400 --> 00:22:34,159 Speaker 1: corn chips, potato chips, all kinds of different flavors. 410 00:22:34,400 --> 00:22:37,000 Speaker 2: You will love them and you can finally chip out. 411 00:22:37,400 --> 00:22:42,919 Speaker 1: Guilt free massachips dot com, slash Jesse TV. 412 00:22:53,480 --> 00:22:57,520 Speaker 14: People in America, I'm not settled with the information that's 413 00:22:57,560 --> 00:23:00,000 Speaker 14: been given to us right now. So I'm not gonna 414 00:23:00,119 --> 00:23:02,359 Speaker 14: to be lining up taking a shot or an a 415 00:23:02,480 --> 00:23:06,800 Speaker 14: vaccination for something that wasn't clear in the first place, 416 00:23:06,920 --> 00:23:11,080 Speaker 14: and then you all create a shot in miraculous time. 417 00:23:11,680 --> 00:23:14,720 Speaker 14: It takes years to create vaccination. 418 00:23:15,080 --> 00:23:18,200 Speaker 5: Well it used to take years, Okay, you know how 419 00:23:18,400 --> 00:23:20,760 Speaker 5: you know how many years were invested in this in 420 00:23:20,840 --> 00:23:24,840 Speaker 5: this approach, About twenty years of science to get us to. 421 00:23:24,800 --> 00:23:27,560 Speaker 14: Be wanting to do not enough, And nine months is 422 00:23:27,600 --> 00:23:30,560 Speaker 14: definitely not enough for nobody to be taking no vaccination 423 00:23:30,680 --> 00:23:31,720 Speaker 14: that you all came up with. 424 00:23:31,920 --> 00:23:34,080 Speaker 5: How many people have died from COVID nineteen in the 425 00:23:34,119 --> 00:23:35,360 Speaker 5: United States. 426 00:23:35,160 --> 00:23:37,080 Speaker 2: Six hundred thousand Americans. 427 00:23:37,160 --> 00:23:40,639 Speaker 14: Well, well, well the number that you all given that 428 00:23:40,720 --> 00:23:43,320 Speaker 14: died that once again that you all. 429 00:23:43,320 --> 00:23:49,119 Speaker 1: Know do do so miss the patriots who stood up 430 00:23:49,200 --> 00:23:51,560 Speaker 1: during that time of insanity in this country. One of 431 00:23:51,560 --> 00:23:54,720 Speaker 1: those patriots joins me now and wrote a book that 432 00:23:54,920 --> 00:23:57,120 Speaker 1: is near and dear to my heart, because it's really 433 00:23:57,119 --> 00:24:00,600 Speaker 1: what I want for this country, Doctor Aaron Carriarty, author 434 00:24:00,720 --> 00:24:05,640 Speaker 1: of Making the Cut, How to Heal Modern Medicine. Doctor, 435 00:24:06,160 --> 00:24:09,080 Speaker 1: I would very much like the trust in our medical 436 00:24:09,119 --> 00:24:12,760 Speaker 1: institutions to return in this country. Well, I can't treat myself. 437 00:24:12,760 --> 00:24:14,800 Speaker 1: I'm not a doctor. I don't know anything about this stuff. 438 00:24:14,840 --> 00:24:17,600 Speaker 1: I'm not a nurse. I need medical institutions I can 439 00:24:17,600 --> 00:24:20,120 Speaker 1: trust now when I walk in my doctor's office. 440 00:24:20,520 --> 00:24:23,159 Speaker 2: Scoring I'm just scornful about everything. I don't trust a 441 00:24:23,200 --> 00:24:23,640 Speaker 2: single thing. 442 00:24:24,640 --> 00:24:27,359 Speaker 11: And you're not alone in that, sadly, And I cite 443 00:24:27,359 --> 00:24:30,840 Speaker 11: some statistics early in the book showing how trust and 444 00:24:30,880 --> 00:24:35,240 Speaker 11: physicians has really tanked. Obviously took a big hit during COVID, 445 00:24:35,320 --> 00:24:38,479 Speaker 11: but even prior to COVID, it was being eroded by 446 00:24:38,600 --> 00:24:42,960 Speaker 11: various factors in medicine that I get into in Making 447 00:24:43,000 --> 00:24:45,919 Speaker 11: the Cut. That clip that you just showed is so 448 00:24:46,119 --> 00:24:49,440 Speaker 11: brilliant because here you have an ordinary man, not trained 449 00:24:49,480 --> 00:24:53,719 Speaker 11: in medicine, but exercising his logic and exercising his common 450 00:24:53,800 --> 00:24:57,159 Speaker 11: sense and saying things that are far more sensible and 451 00:24:57,200 --> 00:25:01,159 Speaker 11: far more reasonable than the supposed exp who was leading 452 00:25:01,200 --> 00:25:05,400 Speaker 11: our pandemic response and who was actually lying, for example, 453 00:25:05,440 --> 00:25:08,600 Speaker 11: about the mRNA vaccines. So when Fauci said, well, this 454 00:25:08,760 --> 00:25:11,720 Speaker 11: technology has been in the works for twenty years, what 455 00:25:11,800 --> 00:25:14,480 Speaker 11: he failed to mention was twenty years of work on 456 00:25:14,600 --> 00:25:21,000 Speaker 11: mRNA technology had essentially failed to produce safe and effective treatments. 457 00:25:21,480 --> 00:25:25,119 Speaker 11: So they had been working on mRNA vaccines for twenty years, 458 00:25:25,480 --> 00:25:29,200 Speaker 11: but they had never gotten past the animal testing phase 459 00:25:29,320 --> 00:25:32,560 Speaker 11: because they kept running into problems with the technology. And 460 00:25:32,600 --> 00:25:37,000 Speaker 11: then nine months of operation warp speed, and everyone is 461 00:25:37,040 --> 00:25:41,800 Speaker 11: supposed to accept that suddenly, when it became something that 462 00:25:41,880 --> 00:25:44,560 Speaker 11: was going to be very lucrative and appeared to be 463 00:25:46,320 --> 00:25:49,440 Speaker 11: very effective at addressing the COVID problem, we were supposed 464 00:25:49,480 --> 00:25:53,240 Speaker 11: to believe that a technology that had failed to advance 465 00:25:53,280 --> 00:25:56,480 Speaker 11: for twenty years was now ready for prime time. And 466 00:25:56,560 --> 00:25:58,639 Speaker 11: anyone who raised their hands like the man in the 467 00:25:58,680 --> 00:26:03,359 Speaker 11: video and asked an entirely sensible questions about it. We're 468 00:26:03,400 --> 00:26:05,560 Speaker 11: just told to shut up. You don't know what you're 469 00:26:05,600 --> 00:26:09,800 Speaker 11: talking about. You're not a virologist, you're not an epidemiologist. 470 00:26:09,800 --> 00:26:12,479 Speaker 11: This kind of condescension. And what I like to tell 471 00:26:12,560 --> 00:26:14,840 Speaker 11: people is, yeah, you might not be a virologist, you 472 00:26:14,920 --> 00:26:17,159 Speaker 11: might not be an epidemiologist, but you are a person 473 00:26:17,720 --> 00:26:20,680 Speaker 11: with common sense. You're a person with logic and rationality, 474 00:26:21,200 --> 00:26:24,159 Speaker 11: and you can know without being a biologist or an 475 00:26:24,200 --> 00:26:28,000 Speaker 11: expert in infectious disease that, let's say a policy that says, 476 00:26:28,080 --> 00:26:32,280 Speaker 11: when you walk into a restaurant and you're standing at 477 00:26:32,280 --> 00:26:34,000 Speaker 11: the door, you have to wear a mask, but as 478 00:26:34,000 --> 00:26:35,760 Speaker 11: soon as you sit down in the restaurant, you can 479 00:26:35,760 --> 00:26:39,440 Speaker 11: take your mask off. This is our infection control recommendation. 480 00:26:39,960 --> 00:26:43,600 Speaker 11: You don't have to be an expert in how viruses 481 00:26:43,680 --> 00:26:46,240 Speaker 11: work to know that. That makes absolutely no sense and 482 00:26:46,280 --> 00:26:50,000 Speaker 11: it's ludicrous, and it's theatrical and it's stupid. And so 483 00:26:51,040 --> 00:26:54,359 Speaker 11: years of this kind of condescension from the public health 484 00:26:54,640 --> 00:26:58,480 Speaker 11: and sadly the medical community as well, has eroded people's 485 00:26:58,480 --> 00:27:01,040 Speaker 11: trust in medicine. The other thing that happens is, you know, 486 00:27:01,080 --> 00:27:03,840 Speaker 11: you go to the doctor with your chief complaint and 487 00:27:03,880 --> 00:27:06,680 Speaker 11: you want to get some help and instead of looking 488 00:27:06,720 --> 00:27:10,359 Speaker 11: at you face to face and carefully examining you and 489 00:27:10,440 --> 00:27:14,359 Speaker 11: asking questions, in depth questions precisely about the issue that 490 00:27:14,400 --> 00:27:16,359 Speaker 11: you came to get help with. You have a doctor 491 00:27:16,400 --> 00:27:19,600 Speaker 11: staring at a screen who's become a glorified data entry 492 00:27:20,040 --> 00:27:23,320 Speaker 11: clerk for a medical record system that was not designed 493 00:27:23,359 --> 00:27:27,960 Speaker 11: for patients but was designed essentially for data gathering and 494 00:27:28,040 --> 00:27:30,679 Speaker 11: data analysis. And he's asking you a bunch of questions 495 00:27:30,720 --> 00:27:32,680 Speaker 11: about do you wear a helmet when you ride a bike? 496 00:27:32,760 --> 00:27:34,920 Speaker 11: And do you wear a seat belt? And are you 497 00:27:34,960 --> 00:27:37,560 Speaker 11: a smoker? And so on and so forth, which you 498 00:27:37,600 --> 00:27:40,000 Speaker 11: know may be interesting from time to time to get 499 00:27:40,000 --> 00:27:44,239 Speaker 11: a health screening. But really, this person who's staring at 500 00:27:44,240 --> 00:27:46,840 Speaker 11: a screen asking you questions that have nothing to do 501 00:27:47,160 --> 00:27:51,840 Speaker 11: do with your chief complaint is not increasing your confidence 502 00:27:52,840 --> 00:27:54,720 Speaker 11: that you're going to get the help that you need. 503 00:27:54,800 --> 00:27:57,760 Speaker 11: So I describe in Making the Cut what I call 504 00:27:57,840 --> 00:28:03,160 Speaker 11: the advent of turnstyle meta that the primary end primary 505 00:28:03,160 --> 00:28:08,160 Speaker 11: purpose of medical institutions is no longer first and foremost 506 00:28:08,240 --> 00:28:13,239 Speaker 11: about health and healing. It's about efficiency, and hospitals and 507 00:28:13,280 --> 00:28:17,840 Speaker 11: many clinics operate on the principle of efficient people moving 508 00:28:18,160 --> 00:28:21,720 Speaker 11: what I call turnstile medicine. Right when you go to Disneyland. 509 00:28:22,400 --> 00:28:25,040 Speaker 11: The whole engineering of Disneyland is designed to get as 510 00:28:25,080 --> 00:28:27,959 Speaker 11: many people through as many turnstyles and as many rides 511 00:28:28,600 --> 00:28:30,200 Speaker 11: and get you fed, gets. 512 00:28:30,080 --> 00:28:31,840 Speaker 2: You toileted, and. 513 00:28:33,800 --> 00:28:37,520 Speaker 11: To move the maximum number of people through the system. Right, 514 00:28:37,960 --> 00:28:40,600 Speaker 11: and medicine now operates more or less on the same principle, 515 00:28:41,400 --> 00:28:44,560 Speaker 11: and so rather than treating you like a unique individual, 516 00:28:44,600 --> 00:28:48,160 Speaker 11: they treat you like a sort of widget that's processed 517 00:28:48,440 --> 00:28:53,320 Speaker 11: by an industrialized healthcare system that's subjected to top down 518 00:28:53,480 --> 00:28:58,600 Speaker 11: managerialist control. Managerialism, which has taken over so many aspects 519 00:28:58,600 --> 00:29:02,280 Speaker 11: of our society, is essentially the ideology that says that 520 00:29:02,400 --> 00:29:05,880 Speaker 11: a small group of technocrats, a small group of experts, 521 00:29:06,400 --> 00:29:10,120 Speaker 11: knows best. We saw this during COVID, and is therefore 522 00:29:10,120 --> 00:29:12,920 Speaker 11: in a position to tell everyone else what to do. 523 00:29:14,160 --> 00:29:16,680 Speaker 11: And that flows down from the top of our healthcare 524 00:29:16,760 --> 00:29:19,280 Speaker 11: system to the people on the ground. The doctors and 525 00:29:19,320 --> 00:29:26,440 Speaker 11: the nurses who no longer have the appropriate discretionary latitude 526 00:29:26,600 --> 00:29:31,160 Speaker 11: to tailor treatments to individual patients. Right, they're reduced to 527 00:29:31,280 --> 00:29:35,680 Speaker 11: checking boxes. They're reduced to treating every hip replacement exactly 528 00:29:35,720 --> 00:29:39,280 Speaker 11: the same. And in fact, the bundled payment system of 529 00:29:39,320 --> 00:29:42,960 Speaker 11: the Affordable Care Act dictates that hospitals treat every hip 530 00:29:43,000 --> 00:29:46,240 Speaker 11: replacement exactly the same. So if your hospital is extended 531 00:29:46,240 --> 00:29:50,240 Speaker 11: because you have a surgical complication, the hospital is actually 532 00:29:50,280 --> 00:29:53,200 Speaker 11: losing money on you. The hospital begins to resent you 533 00:29:53,240 --> 00:29:56,640 Speaker 11: because you're not behaving according to the principle of efficient 534 00:29:56,720 --> 00:30:02,640 Speaker 11: people moving. Hospital administrators love of the term throughput. Get 535 00:30:02,640 --> 00:30:06,600 Speaker 11: people in, get them processed, and get them out as 536 00:30:06,600 --> 00:30:13,800 Speaker 11: soon as possible, and patients start feeling like manufactured products 537 00:30:14,040 --> 00:30:17,480 Speaker 11: rather than human beings with the unique history and unique 538 00:30:17,520 --> 00:30:21,480 Speaker 11: problems and unique fears and worries about their illness that 539 00:30:21,600 --> 00:30:25,520 Speaker 11: need to be attended to by actual human beings that 540 00:30:25,640 --> 00:30:31,040 Speaker 11: care for them. So the central theme of Making the 541 00:30:31,120 --> 00:30:36,160 Speaker 11: Cut is how do we restore the doctor patient relationship, 542 00:30:37,000 --> 00:30:40,240 Speaker 11: the relationship between someone who's vulnerable because they're suffering from 543 00:30:40,280 --> 00:30:43,680 Speaker 11: illness and someone who professes to use all their knowledge 544 00:30:43,720 --> 00:30:48,080 Speaker 11: and skills for the purpose of health and healing, not 545 00:30:48,360 --> 00:30:50,920 Speaker 11: for the purpose of data gathering, not for the purpose 546 00:30:50,960 --> 00:30:54,120 Speaker 11: of efficient people moving, not for the purpose of a 547 00:30:54,200 --> 00:30:56,040 Speaker 11: needle in every arm so that they can get their 548 00:30:56,080 --> 00:31:00,120 Speaker 11: bonus payment. Because eighty five percent of their patient population 549 00:31:00,200 --> 00:31:06,480 Speaker 11: has vaccinated, or any any other external thing that's dictating care, 550 00:31:06,720 --> 00:31:09,480 Speaker 11: and we need we need to move to a much 551 00:31:09,520 --> 00:31:16,440 Speaker 11: more decentralized healthcare system where obviously the healthcare system needs 552 00:31:16,440 --> 00:31:19,160 Speaker 11: some regulation, but things have gone so far in the 553 00:31:19,160 --> 00:31:23,920 Speaker 11: direction of over regulation that it constrains the ability of 554 00:31:24,040 --> 00:31:28,120 Speaker 11: conscientious doctors and nurses to provide the kind of care 555 00:31:28,160 --> 00:31:31,240 Speaker 11: that their patients really need. And patients feel that. I 556 00:31:31,240 --> 00:31:34,600 Speaker 11: think many people experience it. Maybe they can't articulate it, 557 00:31:34,760 --> 00:31:37,120 Speaker 11: maybe they don't know why, but they just leave the 558 00:31:37,120 --> 00:31:42,080 Speaker 11: clinic experience, they leave the hospital experience feeling like something 559 00:31:42,400 --> 00:31:46,440 Speaker 11: very fundamental was missing there and I'm actually not getting 560 00:31:46,440 --> 00:31:46,880 Speaker 11: any better. 561 00:31:46,920 --> 00:31:49,440 Speaker 2: I'm not healing. We have, as. 562 00:31:49,320 --> 00:31:53,200 Speaker 11: Everyone knows now or should know from the from the 563 00:31:53,200 --> 00:31:55,920 Speaker 11: Maha movement, we have this chronic disease epidemic. 564 00:31:55,960 --> 00:31:57,280 Speaker 2: That's that's undeniable. 565 00:31:58,200 --> 00:32:02,120 Speaker 11: These statistics don't why. We have a very serious problem 566 00:32:02,440 --> 00:32:06,760 Speaker 11: with chronic illness in this country, and medicine has not 567 00:32:06,880 --> 00:32:09,400 Speaker 11: been very effective at dealing with it. Medicine is still 568 00:32:09,480 --> 00:32:12,440 Speaker 11: very good at certain things. If God forbid, Jesse, you 569 00:32:12,440 --> 00:32:15,760 Speaker 11: get hit by a truck tomorrow, go to the emergency room, 570 00:32:15,880 --> 00:32:18,920 Speaker 11: have the trauma surgeons patch you back together. Medicine is 571 00:32:19,000 --> 00:32:22,760 Speaker 11: very good at dealing with acute trauma, at dealing with 572 00:32:22,840 --> 00:32:28,200 Speaker 11: acute illness, we're not very effective at dealing with chronic illness, 573 00:32:28,400 --> 00:32:33,760 Speaker 11: at helping people maintain healthy lifestyle, at sort of long 574 00:32:33,880 --> 00:32:38,920 Speaker 11: term projects of health and healing. And so this book 575 00:32:39,000 --> 00:32:43,640 Speaker 11: is my attempt to explain what's going on in the 576 00:32:43,640 --> 00:32:47,040 Speaker 11: house of medicine, how medicine itself got sick, and also 577 00:32:47,200 --> 00:32:51,080 Speaker 11: try to offer some realistic and constructive solutions regarding how 578 00:32:51,120 --> 00:32:52,400 Speaker 11: we might be able to move forward. 579 00:32:54,280 --> 00:32:57,040 Speaker 1: Yeah, that's why we need it so much. I'm so 580 00:32:57,080 --> 00:32:59,480 Speaker 1: glad you wrote it. Doctor. Thank you so much for 581 00:32:59,560 --> 00:32:59,960 Speaker 1: joining us. 582 00:33:00,080 --> 00:33:02,200 Speaker 2: I appreciate you. Please come back soon. It was wonderful. 583 00:33:04,640 --> 00:33:08,360 Speaker 1: That's the body portion of it. Let's talk about the 584 00:33:08,400 --> 00:33:12,080 Speaker 1: mental health portion of it. It's undeniable. We have a 585 00:33:12,280 --> 00:33:14,800 Speaker 1: mental health disaster. 586 00:33:14,480 --> 00:33:17,520 Speaker 2: In our country. Let's get to the bottom of that next. 587 00:33:18,400 --> 00:33:22,160 Speaker 1: You know why there's a testosterone clinic on every single 588 00:33:22,240 --> 00:33:24,760 Speaker 1: corner in your town or city, every corner you see 589 00:33:24,800 --> 00:33:26,800 Speaker 1: them everywhere, right, low T clinic this or low G 590 00:33:26,920 --> 00:33:27,360 Speaker 1: clinic that. 591 00:33:28,160 --> 00:33:30,160 Speaker 2: It's born out of necessity. 592 00:33:30,240 --> 00:33:34,080 Speaker 1: The United States of America has synthetic estrogens in its water. 593 00:33:34,120 --> 00:33:35,200 Speaker 2: Supply lots of them. 594 00:33:35,560 --> 00:33:39,120 Speaker 1: The result of this is a fifty percent drop in 595 00:33:39,160 --> 00:33:43,800 Speaker 1: our testosterone in the last fifty years. That is the 596 00:33:43,920 --> 00:33:46,200 Speaker 1: end of civilization if it continues. It's that big of 597 00:33:46,240 --> 00:33:48,240 Speaker 1: a deal, and men feel it. That's why these low 598 00:33:48,280 --> 00:33:52,080 Speaker 1: T clinics pop up. But that's terrible for you. Handle 599 00:33:52,160 --> 00:33:57,640 Speaker 1: the problem naturally with natural herbal supplements. Start a male 600 00:33:57,800 --> 00:34:01,560 Speaker 1: vitality stack from chalk to day and watch your tea 601 00:34:01,600 --> 00:34:04,560 Speaker 1: levels jack through the roof without jamming a needle in 602 00:34:04,680 --> 00:34:08,680 Speaker 1: your arm. I've been on one over three years. Natural 603 00:34:08,719 --> 00:34:13,200 Speaker 1: herbal supplements. You go to chalk dot com slash Jesse 604 00:34:13,480 --> 00:34:27,359 Speaker 1: TV for a gigantic discount start today. 605 00:34:27,880 --> 00:34:33,279 Speaker 13: I certainly consider mass shootings a health crisis, and we 606 00:34:33,400 --> 00:34:36,839 Speaker 13: are doing for the first time real studies to find 607 00:34:36,880 --> 00:34:38,680 Speaker 13: out what the ideology of that is. 608 00:34:38,880 --> 00:34:40,080 Speaker 2: And we're looking for. 609 00:34:40,040 --> 00:34:43,680 Speaker 13: The first time as psychiatric drugs. You know, he's kind 610 00:34:43,680 --> 00:34:45,960 Speaker 13: of man sitting. People have have had guns in this 611 00:34:46,080 --> 00:34:49,360 Speaker 13: country forever. When I was a kid, we had shooting 612 00:34:49,440 --> 00:34:53,720 Speaker 13: clubs at our school. People kids, my classmate's other people 613 00:34:54,680 --> 00:34:57,320 Speaker 13: would bring a twenty two rifle. Whether the guns is 614 00:34:57,360 --> 00:35:00,000 Speaker 13: at school and market in the parking lot. Nobody was shooting, said, 615 00:35:00,080 --> 00:35:03,919 Speaker 13: there's never been a time in America in the history 616 00:35:03,960 --> 00:35:08,400 Speaker 13: of humanity and people walk into a crowd into a 617 00:35:08,520 --> 00:35:12,360 Speaker 13: church or a movie theater, or a school, or crowded 618 00:35:12,400 --> 00:35:16,560 Speaker 13: standers that just started randomly shooting. It's happening in our country. 619 00:35:17,239 --> 00:35:19,520 Speaker 13: It's not happening around the world. And there are many 620 00:35:19,560 --> 00:35:23,760 Speaker 13: other countries that have comparable levels of guns. 621 00:35:23,680 --> 00:35:27,040 Speaker 2: That we have in this country. We had comparable. 622 00:35:26,680 --> 00:35:29,200 Speaker 13: Levels in the forties, fifties, and sixties, and people weren't 623 00:35:29,239 --> 00:35:34,320 Speaker 13: doing it. Something changed and it dramatically changed human behavior. 624 00:35:35,200 --> 00:35:39,400 Speaker 13: And one of the culprits we need to examine is 625 00:35:39,480 --> 00:35:42,440 Speaker 13: whether the fact that we are the most over medicated 626 00:35:42,520 --> 00:35:45,439 Speaker 13: nation in the world, and at a lot of those 627 00:35:45,480 --> 00:35:49,399 Speaker 13: are psychiatric drugs that have black box warnings on them 628 00:35:49,800 --> 00:35:54,719 Speaker 13: that warn of suicidal and homicidal ideation. So we are 629 00:35:54,840 --> 00:35:57,560 Speaker 13: doing those studies right now for the first time. 630 00:35:59,320 --> 00:36:02,880 Speaker 2: For the first time. That is what an admission. 631 00:36:02,960 --> 00:36:06,520 Speaker 1: Joining me now, doctor Joseph went dooring CEO and medical 632 00:36:06,560 --> 00:36:09,920 Speaker 1: director of Taper Clinic and host of Side Effects with 633 00:36:10,000 --> 00:36:13,160 Speaker 1: doctor Joseph. Doctor okay, so we'll set aside that we're 634 00:36:13,200 --> 00:36:16,600 Speaker 1: doing these studies for the first time. What he says 635 00:36:16,680 --> 00:36:19,480 Speaker 1: is noticeably true. We've always had guns. Now we have 636 00:36:19,600 --> 00:36:22,920 Speaker 1: psychos walking into schools and churches murdering people before they 637 00:36:22,960 --> 00:36:25,800 Speaker 1: blow their heads off, and it's unbelievably terrible. 638 00:36:26,000 --> 00:36:27,880 Speaker 2: We need to get to the root of the problem. 639 00:36:28,040 --> 00:36:28,560 Speaker 2: What is it? 640 00:36:31,320 --> 00:36:33,799 Speaker 15: So when we look at the you know, what is 641 00:36:33,880 --> 00:36:36,480 Speaker 15: causing mass shootings? I think there is you know, surely 642 00:36:36,480 --> 00:36:39,440 Speaker 15: there's an element of mass contagion going on. But what 643 00:36:39,480 --> 00:36:45,280 Speaker 15: Bobby says about the psychiatric drugs being involved is completely true. 644 00:36:45,719 --> 00:36:47,760 Speaker 15: You know, if you listen to the media these days, 645 00:36:47,840 --> 00:36:50,840 Speaker 15: they will say that you're a conspiracy theorist if you 646 00:36:50,960 --> 00:36:53,919 Speaker 15: even suggest that these drugs can do such a thing. 647 00:36:54,760 --> 00:36:58,560 Speaker 15: But it's it's hiding in plain sight. I mean, if 648 00:36:58,560 --> 00:37:01,680 Speaker 15: you look at the drug labels he mentioned for SSRIs, 649 00:37:01,960 --> 00:37:04,879 Speaker 15: it already says that they can cause aggression and hostility. 650 00:37:05,040 --> 00:37:07,359 Speaker 15: It already says that they can make people who are 651 00:37:07,400 --> 00:37:11,920 Speaker 15: not suicidal suicidal. If you look at the side effects 652 00:37:11,920 --> 00:37:16,840 Speaker 15: for stimulant medications in the warnings and precautions, which is 653 00:37:16,880 --> 00:37:19,440 Speaker 15: one of the areas on the drug which has the 654 00:37:19,440 --> 00:37:22,520 Speaker 15: most important risk, it already lists hostility in aggression. If 655 00:37:22,520 --> 00:37:25,960 Speaker 15: you look at the drug Abilifi, a popular antipsychotic drug 656 00:37:26,000 --> 00:37:29,919 Speaker 15: given to people. It already lists homicidal ideation in there. 657 00:37:30,440 --> 00:37:34,120 Speaker 15: These side effects are there because doctors and the pharmaceutical 658 00:37:34,120 --> 00:37:38,400 Speaker 15: industry have known for a long time that these drugs 659 00:37:38,440 --> 00:37:41,200 Speaker 15: in rare instances. I want to say that these are 660 00:37:41,239 --> 00:37:44,160 Speaker 15: not the common effects. These are the paradoxical effects from 661 00:37:44,160 --> 00:37:47,880 Speaker 15: the medications that in rare instances, they can make some 662 00:37:48,120 --> 00:37:54,320 Speaker 15: people more aggressive. And so you know, it's like, imagine 663 00:37:54,320 --> 00:37:57,359 Speaker 15: you have like ten people smoking some cannabis right, nine 664 00:37:57,400 --> 00:38:00,440 Speaker 15: people they're sitting around giggling, having a good time, and 665 00:38:00,520 --> 00:38:03,400 Speaker 15: one person is getting paranoid. The same thing happens with 666 00:38:03,440 --> 00:38:07,600 Speaker 15: psychiatric medication. Some people, just for reasons that we don't understand, 667 00:38:07,680 --> 00:38:10,960 Speaker 15: respond in a negative way and they can become more aggressive. 668 00:38:10,960 --> 00:38:14,719 Speaker 15: And there's actually been and the media never talks about this. 669 00:38:14,960 --> 00:38:18,799 Speaker 15: There's actually been several cases out there which have gone 670 00:38:18,800 --> 00:38:22,239 Speaker 15: to the courts where judges and jurors have found that 671 00:38:22,320 --> 00:38:27,680 Speaker 15: these drugs have been involved in suicides and ohso mass homicide. 672 00:38:30,120 --> 00:38:33,319 Speaker 1: Doctor, Do we believe that it has something to do 673 00:38:33,800 --> 00:38:36,120 Speaker 1: I know we don't know yet, as you just pointed out, 674 00:38:36,120 --> 00:38:39,040 Speaker 1: but does this have something to do with your mental 675 00:38:39,080 --> 00:38:43,200 Speaker 1: state going into the use of it or is it genetic? 676 00:38:43,760 --> 00:38:46,240 Speaker 1: What is it that has As you said, nine people 677 00:38:46,280 --> 00:38:48,560 Speaker 1: can take it and maybe they're a little lethorarogic, and 678 00:38:48,600 --> 00:38:51,040 Speaker 1: the last one turns into a demon who murders Catholic 679 00:38:51,040 --> 00:38:51,680 Speaker 1: school kids. 680 00:38:52,280 --> 00:38:54,600 Speaker 2: How in the world can the results be so different? 681 00:38:56,280 --> 00:38:59,239 Speaker 15: Yeah, and that you're putting your finger on something that's 682 00:38:59,280 --> 00:39:02,760 Speaker 15: really unique. That these drugs can have a spectrum effect. 683 00:39:02,840 --> 00:39:03,000 Speaker 2: Right. 684 00:39:03,480 --> 00:39:05,680 Speaker 15: Let's say, for instance, you already have someone who is 685 00:39:05,719 --> 00:39:09,040 Speaker 15: harboring some kind of homicidal thoughts. You put them on 686 00:39:09,080 --> 00:39:13,240 Speaker 15: a medication that's disinhibiting, a medication that is blunting their emotions. 687 00:39:13,280 --> 00:39:14,920 Speaker 15: And this is what a lot of these medications do, 688 00:39:15,040 --> 00:39:19,520 Speaker 15: especially things like SSRIs. They may be more likely to 689 00:39:19,600 --> 00:39:22,839 Speaker 15: act on pre existing thoughts. However, what I do want 690 00:39:22,880 --> 00:39:24,680 Speaker 15: to say, and this is where it's going to sound 691 00:39:24,760 --> 00:39:29,480 Speaker 15: like kind of almost demonic, These medications can make some 692 00:39:29,640 --> 00:39:33,680 Speaker 15: people so psychotic that even people who never had a 693 00:39:33,760 --> 00:39:38,640 Speaker 15: hint of violence, they can actually go and do terrible things. 694 00:39:38,680 --> 00:39:42,000 Speaker 15: You know, two cases come to mind, and this is 695 00:39:42,040 --> 00:39:44,320 Speaker 15: a little bit dark, but I think it's important to 696 00:39:44,360 --> 00:39:46,320 Speaker 15: talk about this topic. You know, there was the case 697 00:39:46,480 --> 00:39:49,640 Speaker 15: of Donald Shell in Wyoming in the nineties and now 698 00:39:49,760 --> 00:39:52,640 Speaker 15: Donald Shell had been exposed to I think it was prozac. 699 00:39:52,680 --> 00:39:55,719 Speaker 15: It's an SSRI medication, and he had a very bad 700 00:39:55,760 --> 00:39:58,680 Speaker 15: reaction to it. He actually became more agitated. He went 701 00:39:58,760 --> 00:40:02,080 Speaker 15: and saw another doctor who put him on Paxel, which 702 00:40:02,120 --> 00:40:06,239 Speaker 15: is actually another SSRI in the same class as prozac. Now, 703 00:40:06,280 --> 00:40:08,600 Speaker 15: normally this should never happen. You know, if you have 704 00:40:09,160 --> 00:40:11,880 Speaker 15: a bad reaction to a drug in a class, a 705 00:40:11,920 --> 00:40:14,080 Speaker 15: doctor doesn't give you a drug in that same class 706 00:40:14,160 --> 00:40:17,000 Speaker 15: later on. But because of poor record keeping and you know, 707 00:40:17,160 --> 00:40:22,919 Speaker 15: bad communication, that happened. Now within a week, Don Shechell 708 00:40:23,080 --> 00:40:26,200 Speaker 15: killed his wife, his daughter, and his granddaughter and then 709 00:40:26,239 --> 00:40:32,359 Speaker 15: he killed himself. This went before a jury and they 710 00:40:32,400 --> 00:40:36,920 Speaker 15: found that Smith Klein was eighty percent responsible for what 711 00:40:37,000 --> 00:40:41,080 Speaker 15: had happened. This resulted in a million dollar verdict. And 712 00:40:41,080 --> 00:40:44,239 Speaker 15: that's just one case. You know, another case was and 713 00:40:44,600 --> 00:40:47,640 Speaker 15: this is these are some of the most heartbreaking stories 714 00:40:47,680 --> 00:40:51,719 Speaker 15: you'll ever hear. Another very well known case was David Carmichael. 715 00:40:52,520 --> 00:40:56,040 Speaker 15: This was a Canadian man, never had a history of violence, 716 00:40:56,120 --> 00:40:59,719 Speaker 15: loving father, all of those things. He actually took a 717 00:40:59,719 --> 00:41:06,239 Speaker 15: metation Paxel again I believe, and within a week he 718 00:41:06,320 --> 00:41:11,040 Speaker 15: killed his son by accident, he became completely psychotic and delusional. 719 00:41:11,120 --> 00:41:15,239 Speaker 15: I think his son had a seizure disorder, and so 720 00:41:15,280 --> 00:41:17,879 Speaker 15: that was it. That was like the nut. His son 721 00:41:17,960 --> 00:41:20,080 Speaker 15: had a seizure disorder. But when he took the medication, 722 00:41:20,239 --> 00:41:21,960 Speaker 15: he started to believe that his son was going to 723 00:41:22,040 --> 00:41:26,879 Speaker 15: die and that the most compassionate thing to do would 724 00:41:26,880 --> 00:41:29,239 Speaker 15: be to put him out of his misery. He woke 725 00:41:29,320 --> 00:41:32,560 Speaker 15: up in jail several weeks later realizing what he had done, 726 00:41:32,600 --> 00:41:34,920 Speaker 15: and now he speaks about this all over the country. 727 00:41:35,280 --> 00:41:37,160 Speaker 15: And so, yes, I do think you can have like 728 00:41:37,200 --> 00:41:39,920 Speaker 15: a spectrum issue where someone who might be a little 729 00:41:39,920 --> 00:41:42,319 Speaker 15: bit on edge already can get pushed into it. But 730 00:41:42,360 --> 00:41:44,880 Speaker 15: I also think in some people who are very unlucky, 731 00:41:45,480 --> 00:41:49,360 Speaker 15: it can be entirely the drug and the manic type 732 00:41:49,400 --> 00:41:52,480 Speaker 15: psychosis reaction that pushes them into this. 733 00:41:54,719 --> 00:41:57,040 Speaker 2: Gosh, that is scary stuff. Doctor. 734 00:41:57,080 --> 00:41:58,799 Speaker 1: Thank you so much for giving us a few minutes. Then, 735 00:41:58,840 --> 00:41:59,960 Speaker 1: I think I really really appreciate. 736 00:42:00,239 --> 00:42:04,120 Speaker 2: Thank you. We're gonna have him back. 737 00:42:05,080 --> 00:42:07,440 Speaker 1: This is fascinating and it's scary, but it's something we 738 00:42:07,480 --> 00:42:10,960 Speaker 1: have to talk about because it's everywhere. Maybe you're on them. Okay, 739 00:42:11,480 --> 00:42:13,920 Speaker 1: let's talk about it. Let's continue to have these conversations. 740 00:42:13,920 --> 00:42:16,959 Speaker 1: All right, I have some final thoughts to those next. 741 00:42:17,760 --> 00:42:21,160 Speaker 1: All right, So we do these kinds of specials a lot. 742 00:42:21,200 --> 00:42:24,360 Speaker 1: We put up short clips a lot. The one stop 743 00:42:24,440 --> 00:42:28,000 Speaker 1: shop for all of these things is our YouTube channel. 744 00:42:28,360 --> 00:42:29,920 Speaker 1: All you have to do is pick up your phone 745 00:42:30,200 --> 00:42:31,480 Speaker 1: scan that little thing on there. 746 00:42:31,480 --> 00:42:32,879 Speaker 2: It's free. It's all free. 747 00:42:33,280 --> 00:42:38,520 Speaker 1: Let's go subscribe at Jesse Kelly DC on YouTube and 748 00:42:38,840 --> 00:42:39,680 Speaker 1: you can get this and a. 749 00:42:39,640 --> 00:42:42,560 Speaker 2: Whole lot more. All right, all right, we'll do it again. 750 00:42:53,520 --> 00:42:57,560 Speaker 1: We need to have a public reckoning for our medical institutions, 751 00:42:57,560 --> 00:43:00,480 Speaker 1: and I should say it is beginning. We do have 752 00:43:00,520 --> 00:43:03,400 Speaker 1: good people there, Doctor j doctor Martin McCarey. 753 00:43:03,600 --> 00:43:04,719 Speaker 2: We have good people there. 754 00:43:04,760 --> 00:43:08,480 Speaker 1: But we have to have this reckoning because we have 755 00:43:08,560 --> 00:43:11,239 Speaker 1: to have medical institutions we can trust. I can't be 756 00:43:11,320 --> 00:43:14,239 Speaker 1: my own doctor. You can't be your own doctor. Even 757 00:43:14,320 --> 00:43:18,560 Speaker 1: doctors aren't their own doctor. We need help. We need 758 00:43:18,880 --> 00:43:23,360 Speaker 1: institutions like this, and ours have been destroyed and taken 759 00:43:23,440 --> 00:43:26,880 Speaker 1: from us. We have to take whatever steps are necessary 760 00:43:27,239 --> 00:43:29,359 Speaker 1: in order to get those institutions back. 761 00:43:29,400 --> 00:43:31,600 Speaker 2: I'm not going to let this go, and no other 762 00:43:31,680 --> 00:43:34,279 Speaker 2: should you. All Right, we'll do it again.