1 00:00:00,280 --> 00:00:06,840 Speaker 1: The COVID nineteen vaccination programs were probably the most detrimental 2 00:00:07,000 --> 00:00:12,960 Speaker 1: catastrophic medical experiment in history. And I say that because 3 00:00:12,960 --> 00:00:17,440 Speaker 1: now we have thousands upon thousands of studies documenting serious 4 00:00:17,480 --> 00:00:24,120 Speaker 1: adverse events deaths, cancers, strokes, heart attacks, cardiac arrests from 5 00:00:24,200 --> 00:00:30,560 Speaker 1: these shots. These death toll estimates are rivaling combat fatalities 6 00:00:30,600 --> 00:00:33,519 Speaker 1: of World War One, World War two, Vietnam, and the 7 00:00:33,560 --> 00:00:38,400 Speaker 1: Iraq War combined. So this is a very disastrous, serious situation. 8 00:00:48,479 --> 00:00:51,120 Speaker 2: Welcome back to the show everyone. I'm your host, David Rutherford. 9 00:00:51,600 --> 00:00:55,279 Speaker 2: Today's guest is someone that I've been watching and in 10 00:00:55,320 --> 00:00:58,120 Speaker 2: particular lately, he's been popping up on my x feed 11 00:00:58,560 --> 00:01:04,400 Speaker 2: at just a believable amount and it's really pretty shocking 12 00:01:04,440 --> 00:01:07,679 Speaker 2: the things that he's saying. So, without further ado, I'd 13 00:01:07,760 --> 00:01:10,080 Speaker 2: like to welcome Nick Holscher to the show. He's an 14 00:01:10,080 --> 00:01:13,959 Speaker 2: epidemiologist from the McCullough Foundation and one of the leading 15 00:01:14,000 --> 00:01:17,400 Speaker 2: advocates in the country and around the world for sharing 16 00:01:17,560 --> 00:01:20,959 Speaker 2: just how harmful the COVID vaccines were and what to 17 00:01:21,040 --> 00:01:23,240 Speaker 2: expect in the future. So Nick, welcome to the show. 18 00:01:23,280 --> 00:01:24,800 Speaker 1: Man, Thanks for having me. 19 00:01:25,560 --> 00:01:28,200 Speaker 2: All right, let's jump right in, all right, you know, 20 00:01:28,240 --> 00:01:32,280 Speaker 2: I want to start out with the eight hundred pound gorilla. 21 00:01:32,760 --> 00:01:38,319 Speaker 2: How bad was the COVID vaccine and how why do 22 00:01:38,400 --> 00:01:42,920 Speaker 2: we understand provably that it was as bad as we 23 00:01:42,959 --> 00:01:43,679 Speaker 2: thought it would be. 24 00:01:44,920 --> 00:01:51,960 Speaker 1: The COVID nineteen vaccination programs were probably the worst or 25 00:01:52,080 --> 00:01:58,920 Speaker 1: the most detrimental catastrophic medical experiment in history. And I 26 00:01:59,000 --> 00:02:01,880 Speaker 1: say that because now we have thousands upon thousands of 27 00:02:01,920 --> 00:02:09,079 Speaker 1: studies documenting serious adverse events deaths, cancers, strokes, heart attacks, 28 00:02:09,080 --> 00:02:14,239 Speaker 1: cardiac arrests from these shots. And in particular, there's now 29 00:02:14,280 --> 00:02:19,520 Speaker 1: three independent estimates of how many individuals victims died in 30 00:02:19,560 --> 00:02:23,000 Speaker 1: the United States alone from these shots. It ranges from 31 00:02:23,040 --> 00:02:27,040 Speaker 1: four hundred and seventy thousand from Pfeiser alone. That was 32 00:02:27,080 --> 00:02:31,040 Speaker 1: based on a study by Florida Surgeon General Joel Dappo. 33 00:02:31,200 --> 00:02:35,200 Speaker 1: They found Peiser recipients died at a thirty seven percent 34 00:02:35,320 --> 00:02:40,119 Speaker 1: higher rate than Maderna recipients. And so just extrapolating that, 35 00:02:40,200 --> 00:02:43,519 Speaker 1: you get four hundred and seventy thousand deaths, and then 36 00:02:43,560 --> 00:02:46,560 Speaker 1: we get up to about six hundred thousand deaths that 37 00:02:46,760 --> 00:02:51,080 Speaker 1: is according to the vaccine Adverse Event Reporting System. You know, 38 00:02:51,120 --> 00:02:55,639 Speaker 1: there's about about twenty thousand reported deaths in the United 39 00:02:55,639 --> 00:02:58,920 Speaker 1: States from the COVID nineteen vaccines in bears. But we 40 00:02:59,000 --> 00:03:02,080 Speaker 1: have to remember less than one percent of vaccine advers 41 00:03:02,120 --> 00:03:05,200 Speaker 1: events are reported to VARs according to a Harvard Lazarus 42 00:03:05,240 --> 00:03:09,359 Speaker 1: study that was conducted about ten years ago. And so, 43 00:03:09,720 --> 00:03:12,440 Speaker 1: and we still have to be conservative we multiply that 44 00:03:12,480 --> 00:03:15,960 Speaker 1: twenty thousand by thirty, we should be multiplying it by 45 00:03:15,960 --> 00:03:18,960 Speaker 1: one hundred to get the real underreporting factor. But when 46 00:03:19,000 --> 00:03:22,320 Speaker 1: we multiply it by thirty, we do get around six 47 00:03:22,400 --> 00:03:26,520 Speaker 1: hundred thousand American deaths from these shots. And then we 48 00:03:26,560 --> 00:03:29,200 Speaker 1: get up to about eight hundred and forty thousand when 49 00:03:29,240 --> 00:03:32,920 Speaker 1: we look at what's called the CDC wonder data. This 50 00:03:33,120 --> 00:03:37,400 Speaker 1: basically shows us that eight hundred and forty thousand people 51 00:03:37,640 --> 00:03:42,119 Speaker 1: died in excess since twenty twenty one, not from COVID nineteen. 52 00:03:42,680 --> 00:03:45,480 Speaker 1: So basically there was only one thing they likely died from, 53 00:03:45,600 --> 00:03:49,840 Speaker 1: that is the mass vaccination program. So last I just 54 00:03:49,880 --> 00:03:54,480 Speaker 1: want to say, these death toll estimates are rivaling, you know, 55 00:03:54,600 --> 00:03:58,800 Speaker 1: combat fatalities of World War one, World War two, Vietnam, 56 00:03:58,840 --> 00:04:02,640 Speaker 1: and the Iraq War combined. So this is a very disastrous, 57 00:04:02,880 --> 00:04:03,880 Speaker 1: serious situation. 58 00:04:04,520 --> 00:04:08,160 Speaker 2: Well, it's fascinating to me, how, you know. And I 59 00:04:08,200 --> 00:04:10,800 Speaker 2: was a Medican, you know, went through a ton of 60 00:04:10,800 --> 00:04:14,680 Speaker 2: biological weapons program training and how to prepare and how 61 00:04:14,720 --> 00:04:20,159 Speaker 2: to treat guys for it. You know, it just the 62 00:04:20,279 --> 00:04:23,800 Speaker 2: idea behind vaccines, and I certainly took my fair share. 63 00:04:23,839 --> 00:04:26,440 Speaker 2: I don't even know how many anthrax vaccings I took. 64 00:04:26,480 --> 00:04:29,320 Speaker 2: And I remember, you know, asking my you know, my 65 00:04:29,440 --> 00:04:32,400 Speaker 2: senior chief in the medical department at Team one. I 66 00:04:32,440 --> 00:04:34,479 Speaker 2: was like, Hey, what are the studies on this? Is 67 00:04:34,520 --> 00:04:37,520 Speaker 2: this gonna hurt? Like, shut up and take it. And 68 00:04:37,600 --> 00:04:40,800 Speaker 2: so in twenty twenty one, when these things rolled out, 69 00:04:40,920 --> 00:04:43,600 Speaker 2: and that's essentially what I was hearing is shut up 70 00:04:43,640 --> 00:04:48,039 Speaker 2: and take it. That immediately, you know, made me start 71 00:04:48,360 --> 00:04:51,719 Speaker 2: to contemplate, all right, there's some type of manipulation going 72 00:04:51,760 --> 00:04:58,599 Speaker 2: on right now. When did you first recognize like, oh 73 00:04:58,640 --> 00:05:03,840 Speaker 2: my god, this is a nefarious program, there's something not right, 74 00:05:04,360 --> 00:05:06,680 Speaker 2: And what did you do when you when you started 75 00:05:06,720 --> 00:05:07,520 Speaker 2: to realize that. 76 00:05:08,560 --> 00:05:13,240 Speaker 1: I realized this was going to be a disaster right 77 00:05:13,640 --> 00:05:18,160 Speaker 1: when the pandemic hit in Apriller and I believe it 78 00:05:18,200 --> 00:05:22,400 Speaker 1: was January of twenty twenty it was first announced in China. 79 00:05:22,640 --> 00:05:26,800 Speaker 1: In fact, I wrote a Reddit post back then saying 80 00:05:26,839 --> 00:05:29,680 Speaker 1: how they're gonna roll out vaccines, mandate them, You'll have 81 00:05:29,720 --> 00:05:32,520 Speaker 1: to get them to go into stores. And then in 82 00:05:32,560 --> 00:05:36,680 Speaker 1: April when there was an article, and I believe Popular 83 00:05:36,800 --> 00:05:41,360 Speaker 1: Mechanics or some other magazine saying announcing what the new 84 00:05:41,480 --> 00:05:44,200 Speaker 1: vaccines were gonna be, and I read in the article 85 00:05:44,240 --> 00:05:48,760 Speaker 1: it says, these vaccines are going to give yourselves instructions 86 00:05:48,800 --> 00:05:52,920 Speaker 1: to produce the spike protein and the right Then and 87 00:05:53,000 --> 00:05:54,599 Speaker 1: there I was like, all right, this is it. You 88 00:05:54,640 --> 00:05:58,040 Speaker 1: know they're gonna end up resulting in mass casualties. This 89 00:05:58,080 --> 00:06:02,600 Speaker 1: is a terrible idea. And then that's actually what sparked 90 00:06:02,640 --> 00:06:07,320 Speaker 1: me to go into public health school for epidemiology training 91 00:06:07,360 --> 00:06:09,800 Speaker 1: so I could start to actually make a difference in 92 00:06:09,880 --> 00:06:13,680 Speaker 1: combating this disaster. And so I went in there and 93 00:06:14,560 --> 00:06:18,920 Speaker 1: at U of M, I ended up graduating, and since 94 00:06:18,960 --> 00:06:24,760 Speaker 1: then I helped contribute to the publication of about now 95 00:06:24,800 --> 00:06:28,200 Speaker 1: twenty five peer reviewed scientific studies looking at the harms 96 00:06:28,240 --> 00:06:31,800 Speaker 1: of these injections, as well as various other things. 97 00:06:32,080 --> 00:06:34,920 Speaker 2: Okay, so one of the things, and that's I mean, 98 00:06:34,960 --> 00:06:37,120 Speaker 2: that's it's it's so funny when I do talk to 99 00:06:37,160 --> 00:06:41,120 Speaker 2: people about COVID and the lead up in the aftermath, 100 00:06:41,160 --> 00:06:44,279 Speaker 2: whether you're going back to the DARPA initiatives and you 101 00:06:44,360 --> 00:06:47,919 Speaker 2: go back to Fauci in fifth fourteen fifteen and the 102 00:06:47,920 --> 00:06:51,000 Speaker 2: gain of function stuff. You know, this is this is 103 00:06:51,040 --> 00:06:55,000 Speaker 2: not something that is you know, in real time developing, right, 104 00:06:55,200 --> 00:06:58,919 Speaker 2: you know, we developed this miracle cure in five seconds. 105 00:06:58,960 --> 00:07:02,760 Speaker 2: And that's that's I think the problem that is really 106 00:07:02,839 --> 00:07:05,800 Speaker 2: kind of one of these giant hurdles for people emotionally 107 00:07:05,920 --> 00:07:09,920 Speaker 2: to process that this is is this program had been 108 00:07:09,960 --> 00:07:13,200 Speaker 2: laid out a long time ago and then had the 109 00:07:13,240 --> 00:07:17,680 Speaker 2: opportunity for the epidemic when it hit depended upon which 110 00:07:17,680 --> 00:07:19,400 Speaker 2: side of the fence you are. And I think people 111 00:07:19,400 --> 00:07:24,120 Speaker 2: are still reluctant to believe that we participated in the 112 00:07:24,160 --> 00:07:28,640 Speaker 2: development of it, We offshort it to Wuhan, we funded 113 00:07:28,680 --> 00:07:32,000 Speaker 2: it through Eco Health Alliance, right, they they're just they 114 00:07:32,080 --> 00:07:35,640 Speaker 2: can't cross over that hump. So for my listeners that 115 00:07:35,720 --> 00:07:39,160 Speaker 2: are still struggling with with the details, can you kind 116 00:07:39,160 --> 00:07:45,040 Speaker 2: of give us a timeline of of the what you 117 00:07:45,160 --> 00:07:50,440 Speaker 2: what you all believe COVID was in terms of the coronavirus, 118 00:07:50,920 --> 00:07:54,080 Speaker 2: how it emerged, how it originated, and then and then 119 00:07:54,640 --> 00:07:59,960 Speaker 2: obviously this will shift after that into the mRNA technology 120 00:08:00,920 --> 00:08:03,320 Speaker 2: as as they sold it as a vaccine and what 121 00:08:03,360 --> 00:08:04,000 Speaker 2: it really is. 122 00:08:04,520 --> 00:08:08,880 Speaker 1: Yeah, definitely. So I believe since the nineties they've been 123 00:08:08,880 --> 00:08:12,880 Speaker 1: working on messenger are in a technology for various things. 124 00:08:13,960 --> 00:08:17,720 Speaker 1: You know, various studies were conducted, various tests and animals, 125 00:08:18,440 --> 00:08:22,520 Speaker 1: rats and ferrets, and basically in all the studies it 126 00:08:22,520 --> 00:08:26,800 Speaker 1: would it would decimate them. Now, there was a few 127 00:08:26,880 --> 00:08:31,440 Speaker 1: papers published I believe the year was twenty seventeen or 128 00:08:31,480 --> 00:08:37,880 Speaker 1: twenty sixteen by Ralph Barrick and with what it's called 129 00:08:37,880 --> 00:08:41,520 Speaker 1: the Barrack Lab where he operates at at Chapel Hill 130 00:08:42,040 --> 00:08:47,880 Speaker 1: University of North Carolina. And what they were doing at 131 00:08:47,960 --> 00:08:54,800 Speaker 1: the Barrack Lab was literally basically making these coronaviruses in 132 00:08:54,920 --> 00:08:59,800 Speaker 1: the lab and doing a gain of function activities. So 133 00:08:59,840 --> 00:09:03,920 Speaker 1: that I was about ten years ago over more than that, 134 00:09:03,920 --> 00:09:07,080 Speaker 1: that's just when the paper was published. And so you know, 135 00:09:07,160 --> 00:09:12,200 Speaker 1: there is a documented track record of United States researchers, 136 00:09:12,320 --> 00:09:17,920 Speaker 1: you know, working with this very same pathogen, chimeric coronaviruses. 137 00:09:18,520 --> 00:09:21,880 Speaker 1: And then so as that development timeline goes on, obviously 138 00:09:21,960 --> 00:09:26,200 Speaker 1: they offshore to Wuhan. They were collaborating with Wuhan there 139 00:09:26,280 --> 00:09:31,760 Speaker 1: was shipments between them, and so honestly, you know, there's 140 00:09:31,800 --> 00:09:36,760 Speaker 1: some people that think perhaps originated in the United States 141 00:09:37,080 --> 00:09:42,720 Speaker 1: or there was actually multiple laboratory releases. There's actually a 142 00:09:42,760 --> 00:09:46,440 Speaker 1: study that documents there is the possibility of some leaks 143 00:09:46,480 --> 00:09:49,920 Speaker 1: coming out of the Barrack lab and then but you know, 144 00:09:50,040 --> 00:09:55,640 Speaker 1: WUHAN has been pinned as the prim primary laboratory. But yeah, 145 00:09:55,640 --> 00:09:58,120 Speaker 1: I don't think it's just WUHAN. Definitely, it was a 146 00:09:58,280 --> 00:10:03,280 Speaker 1: United States spearheaded effort there. And then with the mRNA injections, 147 00:10:03,320 --> 00:10:05,360 Speaker 1: they were developing those. I mean they had a plan 148 00:10:05,440 --> 00:10:10,160 Speaker 1: that DARPA adept or was Barta darpar Barda, the adept 149 00:10:10,240 --> 00:10:15,720 Speaker 1: P three program in about twenty twelve. They that the 150 00:10:15,760 --> 00:10:23,000 Speaker 1: plan that project was basically to develop pandemic countermeasures using 151 00:10:23,200 --> 00:10:28,360 Speaker 1: a messenger RNA. And so yeah, this whole thing appears 152 00:10:28,400 --> 00:10:30,960 Speaker 1: to have been planned. And then we got up to 153 00:10:31,160 --> 00:10:36,360 Speaker 1: twenty nineteen with Bill Gates, Gates Foundation, John Hopkins Event 154 00:10:36,480 --> 00:10:40,479 Speaker 1: twoh one. You know, they were doing a pandemic simulation 155 00:10:41,040 --> 00:10:45,080 Speaker 1: two months before the pandemic began with all of like 156 00:10:45,160 --> 00:10:49,880 Speaker 1: the corporation head CEOs basically to say, you know, this 157 00:10:49,960 --> 00:10:50,199 Speaker 1: is what. 158 00:10:50,200 --> 00:10:52,880 Speaker 2: Were Deputy of the CIA was there. 159 00:10:53,200 --> 00:10:55,920 Speaker 1: Yeah, yeah, yeah, I know we had the Epstein files 160 00:10:55,960 --> 00:10:59,960 Speaker 1: came out recently and you know Epstein, Gates, JP Moore, 161 00:11:00,040 --> 00:11:05,600 Speaker 1: you know, all these individuals were working on vaccine profiteering 162 00:11:05,840 --> 00:11:10,160 Speaker 1: constructs back starting in like twenty thirteen, they were discussing 163 00:11:10,280 --> 00:11:15,640 Speaker 1: pandemic simulations. So you know, we have this whole rabbit hole, 164 00:11:16,480 --> 00:11:19,800 Speaker 1: and so clearly there was planning activities for a pandemic 165 00:11:20,440 --> 00:11:24,720 Speaker 1: and there was goals that they appeared to have wanted 166 00:11:24,760 --> 00:11:29,200 Speaker 1: to accomplish, and I don't know how successful they were, 167 00:11:29,240 --> 00:11:33,439 Speaker 1: but they were successful to some degree. Now, birth rates 168 00:11:33,600 --> 00:11:37,520 Speaker 1: are basically at an all time low and most developed countries. 169 00:11:40,120 --> 00:11:44,520 Speaker 2: All right, can you talk about the mRNA technology and 170 00:11:44,559 --> 00:11:48,120 Speaker 2: what made that so different than other vaccines that had 171 00:11:48,160 --> 00:11:54,080 Speaker 2: come out before? And you know, obviously with Kennedy in 172 00:11:54,120 --> 00:11:58,280 Speaker 2: there now and changing kind of the vaccine schedule and 173 00:11:58,360 --> 00:12:01,600 Speaker 2: going after and saying that there was no ever safety 174 00:12:01,679 --> 00:12:05,439 Speaker 2: studies conducted within most of the vaccines that we had 175 00:12:05,480 --> 00:12:08,640 Speaker 2: on the vaccine schedule, why would they pitch it as 176 00:12:08,640 --> 00:12:12,239 Speaker 2: a vaccine instead of you know, kind of this delivery 177 00:12:12,320 --> 00:12:13,640 Speaker 2: technology that it was. 178 00:12:14,760 --> 00:12:18,480 Speaker 1: Yeah, it was never a vaccine, not even close. The 179 00:12:18,559 --> 00:12:21,280 Speaker 1: reason they so first of all, what it is. It 180 00:12:21,320 --> 00:12:26,320 Speaker 1: is a gene transferred technology. It's a gene therapy because 181 00:12:26,320 --> 00:12:30,480 Speaker 1: what it does is it so it's a lipid nanoparticle, 182 00:12:30,760 --> 00:12:34,520 Speaker 1: and inside this slipping nanoparticle, which is toxic by itself 183 00:12:34,640 --> 00:12:39,840 Speaker 1: by the way, is modified messenger RNA, which is a 184 00:12:40,120 --> 00:12:44,320 Speaker 1: which is genetic material that gives your body instructions to 185 00:12:44,480 --> 00:12:48,280 Speaker 1: make proteins. So this is a gene therapy. It goes 186 00:12:48,320 --> 00:12:50,800 Speaker 1: into all of your organ systems. It doesn't just stay 187 00:12:50,800 --> 00:12:55,040 Speaker 1: in the arm and your body becomes a non human 188 00:12:55,120 --> 00:13:00,800 Speaker 1: protein factory. Right, So this this is not vaccination. Vaccination 189 00:13:01,120 --> 00:13:05,160 Speaker 1: is just injecting, you know, a killed pathogen, inactivated or 190 00:13:05,440 --> 00:13:12,240 Speaker 1: live attenuated pathogen, and that's that right, It's not introducing 191 00:13:12,360 --> 00:13:16,400 Speaker 1: genetic material. So yeah, these are gene therapies. But they 192 00:13:16,480 --> 00:13:20,680 Speaker 1: labeled them as vaccines because if they didn't, nobody would 193 00:13:20,720 --> 00:13:22,720 Speaker 1: take them, that's right, you know, they would be afraid 194 00:13:22,760 --> 00:13:25,240 Speaker 1: to take them. So they basically changed the definition of 195 00:13:25,240 --> 00:13:28,840 Speaker 1: what a vaccine was and then they could start to 196 00:13:28,880 --> 00:13:31,600 Speaker 1: claim it was a vaccine. But you know, there's now 197 00:13:31,760 --> 00:13:36,840 Speaker 1: multiple bills in some state legislatures trying to change the 198 00:13:36,880 --> 00:13:40,400 Speaker 1: definition of these shots back to gene therapy. What it 199 00:13:40,440 --> 00:13:40,920 Speaker 1: really is. 200 00:13:41,640 --> 00:13:45,440 Speaker 2: Outstanding, outstanding, all right, all right, Before we get into 201 00:13:45,440 --> 00:13:47,800 Speaker 2: the next aspect of this madness right here, I just 202 00:13:47,840 --> 00:13:52,080 Speaker 2: really want to talk about how blessed we are to 203 00:13:52,840 --> 00:13:55,760 Speaker 2: be sponsored by Black Rifle Coffee. I've been a Black 204 00:13:55,880 --> 00:13:59,800 Speaker 2: Rifle fan and supporter since the beginning, since Evant came 205 00:13:59,880 --> 00:14:02,280 Speaker 2: up up with the idea years and years and years ago. 206 00:14:02,920 --> 00:14:05,480 Speaker 2: We drink it at home. 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And again you know I I 226 00:15:18,760 --> 00:15:22,320 Speaker 2: you know, with event to a one happening in October nineteen. 227 00:15:23,000 --> 00:15:26,640 Speaker 2: Right from that moment, I think most likely the true 228 00:15:26,720 --> 00:15:32,800 Speaker 2: awakening for people began probably around you know, May June 229 00:15:32,440 --> 00:15:36,760 Speaker 2: of twenty right when the lockdown two weeks to stop 230 00:15:36,800 --> 00:15:40,320 Speaker 2: the spread the whole narrative and how they were shutting 231 00:15:40,360 --> 00:15:44,800 Speaker 2: down the ambiguous six feet the masking. Everybody started to 232 00:15:44,880 --> 00:15:49,720 Speaker 2: realize this was problematic. It didn't feel right right because 233 00:15:49,840 --> 00:15:56,920 Speaker 2: just that natural I think intuitive sense that hey, something's 234 00:15:57,000 --> 00:16:00,440 Speaker 2: off here. This doesn't make any sense. This is you know, 235 00:16:00,520 --> 00:16:04,520 Speaker 2: we close churches in schools, but we leave liquor stores 236 00:16:04,520 --> 00:16:07,640 Speaker 2: in Walmart open. I think all of that it was 237 00:16:07,720 --> 00:16:11,880 Speaker 2: It's so beyond the pale of what was rational, right, 238 00:16:11,960 --> 00:16:15,560 Speaker 2: And I think human beings are pretty pretty pretty dialed 239 00:16:15,600 --> 00:16:18,520 Speaker 2: in when it comes to being able to their bullshit 240 00:16:18,640 --> 00:16:22,840 Speaker 2: detector and how it starts paying. But I think for me, 241 00:16:23,080 --> 00:16:26,680 Speaker 2: the real problems as a medic myself was when we 242 00:16:26,720 --> 00:16:30,359 Speaker 2: started hearing the incidents of miles carditis and para carditis. 243 00:16:30,400 --> 00:16:33,400 Speaker 2: So I think those were the first ones that really 244 00:16:33,440 --> 00:16:41,760 Speaker 2: started to pop, in particular with the least vulnerable age groups, 245 00:16:41,800 --> 00:16:45,080 Speaker 2: and that was young males, right, And that was really 246 00:16:45,120 --> 00:16:47,680 Speaker 2: the moment where I was like, well, why are young 247 00:16:47,800 --> 00:16:51,040 Speaker 2: men having heart conditions? And then all the videos of 248 00:16:51,160 --> 00:16:55,120 Speaker 2: guys on the soccer pitch or wherever just collapsing, and 249 00:16:55,560 --> 00:16:59,800 Speaker 2: we're like, this is not right. What can you list 250 00:16:59,840 --> 00:17:05,280 Speaker 2: the inner injuries? And you're all's opinion that are conclusively 251 00:17:05,400 --> 00:17:08,680 Speaker 2: associated with the vaccine and COVID. 252 00:17:09,560 --> 00:17:13,520 Speaker 1: Yeah, you're right. On myocarditis. We published about six papers 253 00:17:13,640 --> 00:17:18,359 Speaker 1: on heart conditions with these shots, and it's it's quite unequivocal. 254 00:17:19,240 --> 00:17:21,960 Speaker 1: There's two studies, not our studies, but two studies have 255 00:17:22,200 --> 00:17:26,200 Speaker 1: found the spike protein and messenger RNA in the heart 256 00:17:26,720 --> 00:17:32,240 Speaker 1: in myocarditis patients and deceased victims, and so we know 257 00:17:32,359 --> 00:17:36,040 Speaker 1: it does get into the heart and since that happens, 258 00:17:36,320 --> 00:17:42,000 Speaker 1: it unfortunately gives the cardio myocytes, your heart cells in 259 00:17:42,040 --> 00:17:47,800 Speaker 1: the myocardio the instructions to make these highly pathogenic spike proteins. 260 00:17:47,800 --> 00:17:50,720 Speaker 1: So once they begin to make them, your own body 261 00:17:50,760 --> 00:17:54,680 Speaker 1: is going to attack those cells expressing those proteins, resulting 262 00:17:54,720 --> 00:17:57,600 Speaker 1: in that cardiac inflammation scarring. 263 00:17:57,920 --> 00:17:59,040 Speaker 2: That's very important. 264 00:17:59,480 --> 00:18:02,639 Speaker 1: Are public health agencies claim that it's mild and transient 265 00:18:02,680 --> 00:18:06,119 Speaker 1: malcred its, it's not. It results. It can result in 266 00:18:06,160 --> 00:18:10,400 Speaker 1: irreversible heart scarring. Heart scarring does not go away, and 267 00:18:10,760 --> 00:18:13,840 Speaker 1: in particular, it can result in micro scars. And an 268 00:18:13,880 --> 00:18:17,560 Speaker 1: autopsy study found that you don't even see those on imaging. 269 00:18:17,960 --> 00:18:20,680 Speaker 1: You can only see it under a microscope. And so, 270 00:18:20,960 --> 00:18:24,960 Speaker 1: and these microscars were found in a sudden adult death syndrome. 271 00:18:25,880 --> 00:18:29,840 Speaker 1: Victims from these shots, they received like six boosters and 272 00:18:29,960 --> 00:18:34,360 Speaker 1: there was these literally like tiny little scars resulting in 273 00:18:34,440 --> 00:18:41,360 Speaker 1: these electrical conduction abnormalities, you know, ventricular decie cardia, eventually 274 00:18:41,400 --> 00:18:46,560 Speaker 1: cardiac arrests, sudden death. So that's what's happening again. It 275 00:18:46,800 --> 00:18:52,520 Speaker 1: appeared micred It disappears to significantly shorten the life span 276 00:18:52,680 --> 00:18:58,760 Speaker 1: of individuals unfortunately, because their heart health is not going 277 00:18:58,800 --> 00:19:00,919 Speaker 1: to be the same as if they did not incur 278 00:19:01,040 --> 00:19:04,520 Speaker 1: that heart damage. And then, you know, we could just 279 00:19:04,560 --> 00:19:07,359 Speaker 1: keep going down. We published the first paper kind of 280 00:19:07,359 --> 00:19:13,080 Speaker 1: elucidating COVID nineteen vaccine induced cardiac arrest. Nobody really talks 281 00:19:13,119 --> 00:19:18,159 Speaker 1: about cardiac risk. They just talk about milecarditis, and so yeah, 282 00:19:18,600 --> 00:19:23,040 Speaker 1: it's unequivocal. These shots cause heart damage and fatal mile 283 00:19:23,160 --> 00:19:27,400 Speaker 1: carditis as well. We published an autopsy series where we 284 00:19:27,560 --> 00:19:33,119 Speaker 1: concluded that COVID nineteen vaccine induced milecarditis is fatal. You know, 285 00:19:33,200 --> 00:19:37,440 Speaker 1: it's not it's not mild. And you know, there's multiple 286 00:19:37,480 --> 00:19:45,320 Speaker 1: papers documenting case fatality rates up to seven percent. VARs indicates, 287 00:19:45,560 --> 00:19:48,800 Speaker 1: our report, our vaccine address event reporting system indicates I 288 00:19:48,880 --> 00:19:52,520 Speaker 1: believe about a three percent fatality rate. So again that's 289 00:19:52,640 --> 00:19:56,879 Speaker 1: not not mild. But that's just the heart. And then 290 00:19:56,960 --> 00:20:02,359 Speaker 1: we have the brain. This one's this one's very worrisome 291 00:20:02,480 --> 00:20:09,480 Speaker 1: for the cognitive health and psychological health of the entire population. 292 00:20:09,960 --> 00:20:13,920 Speaker 1: A study by Ota and colleagues found the vaccine spike 293 00:20:14,000 --> 00:20:19,280 Speaker 1: protein and mRNA in the brains of haemorrhagic stroke patients. 294 00:20:19,800 --> 00:20:22,840 Speaker 1: So we know it gets into the brain. And we 295 00:20:23,440 --> 00:20:28,400 Speaker 1: published a few papers looking at VARs and looking at well, 296 00:20:28,480 --> 00:20:32,080 Speaker 1: what are these shots doing to people's central nervous systems, 297 00:20:32,119 --> 00:20:36,000 Speaker 1: And we found one hundred and forty six safety signals 298 00:20:36,000 --> 00:20:39,800 Speaker 1: that were breached with the central nervous system and psychiatric 299 00:20:40,040 --> 00:20:44,240 Speaker 1: adverse events. And this includes things like obviously brain clots. 300 00:20:44,840 --> 00:20:48,000 Speaker 1: I believe that was it was over a thousand times 301 00:20:48,040 --> 00:20:50,760 Speaker 1: more likely to be reported with the COVID shots than 302 00:20:50,840 --> 00:20:56,800 Speaker 1: with the flu shots. And then you have you have 303 00:20:57,000 --> 00:21:02,199 Speaker 1: things like Demila nation syndromes when the mielin sheath on 304 00:21:02,240 --> 00:21:08,600 Speaker 1: the neurons becomes basically destroyed, resulting and debilitating conditions transverse 305 00:21:08,720 --> 00:21:17,080 Speaker 1: myelitis paralysis. And then you also have things like central 306 00:21:17,119 --> 00:21:21,720 Speaker 1: nervous system infections. Was this was this safety signal was 307 00:21:21,840 --> 00:21:25,080 Speaker 1: very large, where it appears the blood brain barrier is 308 00:21:25,119 --> 00:21:30,360 Speaker 1: becoming disrupted, allowing pathogens, vaccine materials, spite protein to enter 309 00:21:30,440 --> 00:21:37,640 Speaker 1: the brain, resulting in infections or viral reactivation syndromes in 310 00:21:37,680 --> 00:21:40,119 Speaker 1: the central nervous system. And then you have things like 311 00:21:40,800 --> 00:21:44,520 Speaker 1: prion disease. This was about eight hundred times more likely 312 00:21:44,560 --> 00:21:47,080 Speaker 1: with the COVID shots compared to the flu shots. Kreutz 313 00:21:47,080 --> 00:21:51,040 Speaker 1: felt Yakup's disease, the human equivalent of mad cow disease, 314 00:21:51,240 --> 00:21:55,960 Speaker 1: is when these misfolded proteins enter the brain. So that's 315 00:21:56,119 --> 00:21:59,639 Speaker 1: very worrisome, and then we have the psychiatric conditions, and 316 00:21:59,800 --> 00:22:04,520 Speaker 1: these conditions, the safety signals were breached for homicidal thoughts, 317 00:22:04,920 --> 00:22:14,400 Speaker 1: homicidal behavior, a suicidal behavior, dementia, psychosis, even schizophrenia, depression, 318 00:22:15,320 --> 00:22:16,560 Speaker 1: sleep disorders. 319 00:22:16,680 --> 00:22:18,320 Speaker 2: The one that killed me is I, you know, I 320 00:22:18,320 --> 00:22:23,000 Speaker 2: have four teenage daughters in twenty two or twenty and 321 00:22:23,080 --> 00:22:26,880 Speaker 2: at twenty one, twenty two girls teenage suicide went up, 322 00:22:27,200 --> 00:22:30,399 Speaker 2: you know, fifty percent, but there were they didn't do 323 00:22:30,480 --> 00:22:34,240 Speaker 2: any breakdown, Like it was just like, oh, these kids 324 00:22:34,280 --> 00:22:37,760 Speaker 2: want to kill themselves because they were cooped up, you know, 325 00:22:38,000 --> 00:22:40,119 Speaker 2: in home and didn't get to go to school. So 326 00:22:40,160 --> 00:22:44,159 Speaker 2: they called it some type of social issue. Meanwhile, I'm like, 327 00:22:44,920 --> 00:22:48,679 Speaker 2: it just doesn't make sense. Nobody's ever seen, you know, 328 00:22:49,920 --> 00:22:52,359 Speaker 2: such a short period and a spike of that. So 329 00:22:52,480 --> 00:22:54,679 Speaker 2: I was always like, and then you heard all the 330 00:22:54,800 --> 00:22:59,000 Speaker 2: comments about long COVID you know, COVID malaise whatever. They 331 00:22:59,280 --> 00:23:01,800 Speaker 2: were trying to frame it as it's just a component 332 00:23:01,920 --> 00:23:05,280 Speaker 2: of the the disease itself, and it just didn't make 333 00:23:05,359 --> 00:23:08,399 Speaker 2: sense to me at all. So there was a tremendous 334 00:23:08,440 --> 00:23:13,280 Speaker 2: amount of of psychological challenge. The ones that really kind 335 00:23:13,280 --> 00:23:14,639 Speaker 2: of got me and I want to just pivot a 336 00:23:14,640 --> 00:23:16,959 Speaker 2: little bit because I think these this is the scariest 337 00:23:17,000 --> 00:23:21,160 Speaker 2: aspect of this being you know, a gene mutation, if 338 00:23:21,200 --> 00:23:25,879 Speaker 2: you will. Was the explosion of cancer or what a 339 00:23:25,960 --> 00:23:28,960 Speaker 2: lot of people are called turbo cancer. Now, I remember 340 00:23:29,200 --> 00:23:33,480 Speaker 2: Ed Dowd, who's you know, former Black Rock you know, 341 00:23:33,600 --> 00:23:38,560 Speaker 2: analyst guy started looking at all courts cause mortalities post 342 00:23:38,960 --> 00:23:43,920 Speaker 2: the shot, and then Naomi Wolf started doing the evaluations. 343 00:23:43,119 --> 00:23:51,600 Speaker 3: Of of of the female breast cancer explosions, uh, uterine cancer, 344 00:23:51,720 --> 00:23:53,439 Speaker 3: ovarian cancer explosions. 345 00:23:53,680 --> 00:23:56,320 Speaker 2: Can you talk about that and what you guys are 346 00:23:56,400 --> 00:23:57,080 Speaker 2: seeing there? 347 00:23:58,359 --> 00:24:01,920 Speaker 1: Yeah, this this is now undeniable. There's now over one 348 00:24:02,000 --> 00:24:06,879 Speaker 1: hundred studies that indicate the MR and A injections can 349 00:24:07,000 --> 00:24:15,600 Speaker 1: induce cancer via seventeen distinct mechanisms, and CDC data indicates 350 00:24:15,680 --> 00:24:19,199 Speaker 1: that these are like the one of the largest carcinogenic 351 00:24:19,240 --> 00:24:22,159 Speaker 1: exposures in history. There's been about one hundred and thirty 352 00:24:22,200 --> 00:24:26,160 Speaker 1: six thousand excess cancer deaths in the United States since 353 00:24:26,280 --> 00:24:30,879 Speaker 1: the mass vaccination programs began, according to the CDC Wonder data, 354 00:24:31,640 --> 00:24:37,359 Speaker 1: and two population studies came out last year that with 355 00:24:37,480 --> 00:24:40,840 Speaker 1: over eight point seven million people combined in both of them. 356 00:24:40,920 --> 00:24:43,400 Speaker 1: One was in Italy and one was in South Korea, 357 00:24:43,440 --> 00:24:46,359 Speaker 1: and they compared the vaccinated to the unvaccinated, and the 358 00:24:46,440 --> 00:24:50,960 Speaker 1: vaccinated suffered increased risks of seven major cancers and overall 359 00:24:51,080 --> 00:24:56,800 Speaker 1: cancer hospitalizations. So they had increased risks of coloractol, thyroid, 360 00:24:56,960 --> 00:25:03,360 Speaker 1: prostate brest, gastric cancer, and so all these cancers were 361 00:25:03,440 --> 00:25:05,399 Speaker 1: higher in the vaccinated. So we know it's in the 362 00:25:05,440 --> 00:25:09,360 Speaker 1: population data. And then recently its systematic review came out 363 00:25:09,400 --> 00:25:13,800 Speaker 1: in the journal onco Target that found over three hundred 364 00:25:13,960 --> 00:25:18,200 Speaker 1: peer reviewed confirmed turbo cancer cases documented in the peer 365 00:25:18,200 --> 00:25:22,280 Speaker 1: reviewed literature. These people get these shots and then sometimes 366 00:25:22,280 --> 00:25:25,320 Speaker 1: a day, a week, sometimes a month later, they'll have 367 00:25:25,400 --> 00:25:33,800 Speaker 1: these massive tumors and sometimes rare cancers, leukemias, lymphomas, you know, 368 00:25:34,000 --> 00:25:38,760 Speaker 1: solid tumor cancers, and you know it's basically was it's 369 00:25:38,800 --> 00:25:41,800 Speaker 1: an absolute disaster. So we know it's happening clinically in 370 00:25:41,840 --> 00:25:45,040 Speaker 1: these documented case reports. We know it's happening at the 371 00:25:45,080 --> 00:25:49,920 Speaker 1: population level, and we know it's happening at the mechanistic level. 372 00:25:49,960 --> 00:25:54,080 Speaker 1: We recently published a paper documenting the first instance of 373 00:25:54,160 --> 00:25:57,840 Speaker 1: genomic integration in a stage four bladder cancer patient. She 374 00:25:57,920 --> 00:26:03,080 Speaker 1: received three mRNA injections and rapidly developed stage four bladder cancer. 375 00:26:03,160 --> 00:26:06,600 Speaker 1: She was only thirty one years old, so thirty one 376 00:26:06,680 --> 00:26:09,880 Speaker 1: year olds are not supposed to get turbo bladder cancer. 377 00:26:10,440 --> 00:26:13,000 Speaker 1: And we looked in her circulating tumor DNA and we 378 00:26:13,080 --> 00:26:17,119 Speaker 1: found within chromosome nineteen was a twenty base pair of 379 00:26:17,240 --> 00:26:23,200 Speaker 1: segment of the DNA plasmid from the manufacturing process literally 380 00:26:23,240 --> 00:26:27,399 Speaker 1: fused into that chromosome. So it went from human to 381 00:26:27,720 --> 00:26:33,479 Speaker 1: vaccine to human. So and that was in this tumor DNA. 382 00:26:33,720 --> 00:26:38,480 Speaker 1: So it appears that resulted in this transcriptomic chaos or 383 00:26:38,520 --> 00:26:44,720 Speaker 1: this gene expression disruption resulting in this malignant growth that 384 00:26:44,840 --> 00:26:48,159 Speaker 1: spread throughout our body. And there's many other mechanisms we 385 00:26:48,160 --> 00:26:53,600 Speaker 1: could go through. Hyper inflammation turning off tumor suppressor genes 386 00:26:53,640 --> 00:27:00,440 Speaker 1: P fifty three and BRAKA, and this immune system dysregular elation, 387 00:27:01,080 --> 00:27:04,440 Speaker 1: exhausting your T cells which are supposed to fight off cancer. 388 00:27:04,840 --> 00:27:08,119 Speaker 1: But the shots appear to exhaust those T cells, so 389 00:27:08,400 --> 00:27:10,280 Speaker 1: you basically are left defenseless. 390 00:27:14,320 --> 00:27:19,920 Speaker 2: Man, Nick, I hear you. One. It's just one. It's impressive, 391 00:27:20,080 --> 00:27:23,440 Speaker 2: just the magnitude of knowledge that you have and what 392 00:27:23,520 --> 00:27:28,639 Speaker 2: your team is doing. But it's so depressing. It's so 393 00:27:28,760 --> 00:27:33,320 Speaker 2: depressing to begin to one just how many millions of 394 00:27:33,359 --> 00:27:36,840 Speaker 2: families have been affected by this around the world. Right, 395 00:27:36,960 --> 00:27:41,800 Speaker 2: seventy percent of the earth population was exposed to it. 396 00:27:42,280 --> 00:27:44,760 Speaker 2: I'm not sure what the exact numbers on people who 397 00:27:44,800 --> 00:27:48,640 Speaker 2: received a variation of the vaccine, but it's staggering. It's 398 00:27:48,720 --> 00:27:55,000 Speaker 2: well over a couple billion. I heard, you know. I 399 00:27:55,040 --> 00:27:58,280 Speaker 2: think the big thing is, you know what I always 400 00:27:58,440 --> 00:28:01,040 Speaker 2: see when I hear guys like out out there just 401 00:28:01,080 --> 00:28:04,720 Speaker 2: pounding the drums, say, we have been attacked. This is 402 00:28:04,800 --> 00:28:09,320 Speaker 2: a consulates, a concerted effort to poison the population of 403 00:28:09,680 --> 00:28:12,000 Speaker 2: the world, not just of the United States, but of 404 00:28:12,040 --> 00:28:16,600 Speaker 2: the world. And you have put your money where your 405 00:28:16,640 --> 00:28:22,200 Speaker 2: mouth is. You've gone in front of a multiple state 406 00:28:22,560 --> 00:28:28,600 Speaker 2: in federal congressional hearings, and I watched you testify for 407 00:28:28,680 --> 00:28:33,800 Speaker 2: the Idaho bill S thirteen fifty six on the arms 408 00:28:33,840 --> 00:28:39,000 Speaker 2: of the COVID injections. When you're in those moments and 409 00:28:39,040 --> 00:28:44,120 Speaker 2: you're talking to lawmakers, whether it's state or federal, whatever 410 00:28:44,160 --> 00:28:49,560 Speaker 2: it is, what's the reaction that they're getting. Do they 411 00:28:49,680 --> 00:28:54,120 Speaker 2: have any understanding of the depths of how catastrophic this 412 00:28:54,240 --> 00:28:56,800 Speaker 2: has been, or are they in shock, Like, I mean, 413 00:28:58,040 --> 00:29:01,520 Speaker 2: do you visually see their shock or or do they 414 00:29:01,560 --> 00:29:04,080 Speaker 2: try and come at you and discount you, Like, how 415 00:29:04,120 --> 00:29:07,200 Speaker 2: do they discredit the like what's the pushback? And then 416 00:29:07,240 --> 00:29:11,240 Speaker 2: what's the normal reaction of just how overwhelming? 417 00:29:12,160 --> 00:29:15,560 Speaker 1: Yeah? Well, first I'd say I haven't testified in front 418 00:29:15,600 --> 00:29:19,960 Speaker 1: of in front of any federal h federal hearing yet, 419 00:29:19,960 --> 00:29:20,720 Speaker 1: but doctor. 420 00:29:20,560 --> 00:29:25,600 Speaker 2: Kula has, right, doctor, I've seen him with Johnson and everybody, 421 00:29:25,680 --> 00:29:27,280 Speaker 2: you know, massive amount of time. 422 00:29:27,440 --> 00:29:30,560 Speaker 1: So yeah, oh yeah, he's gone many times. I've gone 423 00:29:30,760 --> 00:29:36,240 Speaker 1: in multiple state legislations to testify, and usually the reaction 424 00:29:37,480 --> 00:29:38,160 Speaker 1: is shock. 425 00:29:38,720 --> 00:29:39,440 Speaker 2: It is shock. 426 00:29:39,640 --> 00:29:42,480 Speaker 1: You know, you'll see the you know, sometimes the committee members' 427 00:29:42,480 --> 00:29:44,880 Speaker 1: faces that are going to vote to advance the bill, 428 00:29:45,040 --> 00:29:48,200 Speaker 1: and they just kind of open their eyes very wide, 429 00:29:48,360 --> 00:29:51,120 Speaker 1: and sometimes you know, they put their hands on their face. 430 00:29:52,600 --> 00:29:58,560 Speaker 1: And I think the reaction is both you know, surprise, disgust, shock, 431 00:29:59,240 --> 00:30:03,760 Speaker 1: but also well some people just don't want to believe it, 432 00:30:04,200 --> 00:30:07,560 Speaker 1: and they're actually trying to just tune it out because 433 00:30:07,600 --> 00:30:11,040 Speaker 1: they themselves or maybe family members have taken you know, 434 00:30:11,200 --> 00:30:14,720 Speaker 1: six seven eight boosters, and you know, they don't want 435 00:30:14,720 --> 00:30:18,440 Speaker 1: to know the risks that they may be facing, and 436 00:30:18,640 --> 00:30:23,040 Speaker 1: you know, I guess that's understandable for some individuals given 437 00:30:23,120 --> 00:30:27,720 Speaker 1: the catastrophic harms being uncovered. And then I also think 438 00:30:27,880 --> 00:30:34,080 Speaker 1: another reason or another reaction is some of these lawmakers 439 00:30:34,160 --> 00:30:39,760 Speaker 1: representatives don't want to lose their job, or you know, 440 00:30:39,800 --> 00:30:45,040 Speaker 1: maybe they're receiving some money from pharmaceutical companies and thus 441 00:30:45,280 --> 00:30:49,400 Speaker 1: they just try and reject these bills and just try 442 00:30:49,480 --> 00:30:52,440 Speaker 1: and say it's not true. And so it's I think 443 00:30:52,440 --> 00:30:55,440 Speaker 1: it's a variety of reactions. 444 00:30:55,680 --> 00:31:01,200 Speaker 2: That makes sense, you know, as and and we'll come 445 00:31:01,240 --> 00:31:05,600 Speaker 2: back to that idea of because this is the fascinating 446 00:31:05,600 --> 00:31:07,960 Speaker 2: part for me. I mean, obviously, you know, I've spent 447 00:31:08,000 --> 00:31:11,280 Speaker 2: a lot of time working with human performance for whether whatever, 448 00:31:11,680 --> 00:31:15,400 Speaker 2: you know, whether it's pro athletes or operators or business people, 449 00:31:15,440 --> 00:31:18,680 Speaker 2: and you know, getting them to cross the threshold of 450 00:31:18,920 --> 00:31:24,920 Speaker 2: humility to the place of accepting, you know, fundamental truth 451 00:31:24,960 --> 00:31:29,080 Speaker 2: as opposed to their subjective perception of reality. Right, we 452 00:31:29,640 --> 00:31:31,840 Speaker 2: hold onto that so tightly. I want to get your 453 00:31:31,880 --> 00:31:33,440 Speaker 2: opinion on that at the end. But before we do, 454 00:31:34,160 --> 00:31:40,440 Speaker 2: you know, you also posted recently, you know that you know, 455 00:31:40,480 --> 00:31:44,000 Speaker 2: the people that that kind of were at the helm 456 00:31:44,040 --> 00:31:48,120 Speaker 2: of this are are talking again about imminent pandemics. We 457 00:31:48,200 --> 00:31:51,440 Speaker 2: saw last year I think it was last year, maybe 458 00:31:51,440 --> 00:31:58,040 Speaker 2: a year before, where the Who's International treaty of getting 459 00:31:58,080 --> 00:32:03,400 Speaker 2: everybody on board to accept their draconi in totalitarian control 460 00:32:03,480 --> 00:32:07,480 Speaker 2: overall pandemic response around the world. You know, there was 461 00:32:07,520 --> 00:32:12,160 Speaker 2: a pushback on that. Why what do you feel like 462 00:32:12,800 --> 00:32:17,880 Speaker 2: is how are we are we? How big is this fight? 463 00:32:18,640 --> 00:32:22,680 Speaker 2: And how far do you think the other side? Because 464 00:32:22,680 --> 00:32:25,280 Speaker 2: we have seen people like Bill Gates kind of pull 465 00:32:25,360 --> 00:32:27,760 Speaker 2: back a little bit. I think it's more so his 466 00:32:27,840 --> 00:32:31,200 Speaker 2: stuff in the Epstein files that you know he's afraid 467 00:32:31,200 --> 00:32:35,400 Speaker 2: of that as opposed to his you know, insane money 468 00:32:35,440 --> 00:32:39,200 Speaker 2: printing vaccine programs around the world. But but what do 469 00:32:39,280 --> 00:32:43,080 Speaker 2: you get a sense that that those cohorts are are 470 00:32:43,360 --> 00:32:46,520 Speaker 2: have they just taken their licks and they're planning another 471 00:32:46,680 --> 00:32:51,000 Speaker 2: attack or not even I shouldn't suggest or the alleged 472 00:32:51,200 --> 00:32:53,479 Speaker 2: attack or whatever that is. I'm not suggesting that. But 473 00:32:54,160 --> 00:32:58,720 Speaker 2: in terms of just their position on pandemics and their 474 00:32:58,760 --> 00:33:03,240 Speaker 2: position about control, what are your assessments on where we're 475 00:33:03,280 --> 00:33:07,000 Speaker 2: at right now with these these groups? 476 00:33:08,200 --> 00:33:12,480 Speaker 1: Right now we're in a dangerous situation because we do 477 00:33:12,600 --> 00:33:16,760 Speaker 1: obviously now know there's so much evidence that the previous pandemic, 478 00:33:16,920 --> 00:33:24,640 Speaker 1: SARSKOV two was again planned, manufactured, and deployed. And then 479 00:33:24,720 --> 00:33:30,320 Speaker 1: we had the countermeasures m RNA shots, which possibly is 480 00:33:30,360 --> 00:33:33,680 Speaker 1: now three bills in the United States classifying them as 481 00:33:33,800 --> 00:33:38,760 Speaker 1: biological agents and weapons of mass destruction. So now we know, 482 00:33:38,800 --> 00:33:41,760 Speaker 1: we have lots of evidence, you know, suggesting that we 483 00:33:42,000 --> 00:33:49,400 Speaker 1: were already you know, basically, I guess I would say attacked, 484 00:33:49,880 --> 00:33:52,160 Speaker 1: attacked because none of this was natural. None of this 485 00:33:52,360 --> 00:33:56,560 Speaker 1: was natural. It wouldn't have happened without human intervention. And 486 00:33:56,640 --> 00:34:01,880 Speaker 1: so we had that. And now nobody has been held accountable, No, 487 00:34:02,240 --> 00:34:06,760 Speaker 1: not one prosecution for pandemic related crimes. And there's so 488 00:34:06,960 --> 00:34:09,839 Speaker 1: many of them, and some of them are like just 489 00:34:09,920 --> 00:34:13,480 Speaker 1: as simple as lying under oath, like Fauci did you know, 490 00:34:13,640 --> 00:34:17,120 Speaker 1: Rand Paul, he shoot some criminal referrals to the DOJ. 491 00:34:17,480 --> 00:34:20,920 Speaker 1: They haven't done a thing, and that's like wide in 492 00:34:20,960 --> 00:34:24,120 Speaker 1: the open. He just literally lied, and there's not we 493 00:34:24,160 --> 00:34:27,440 Speaker 1: can't even get accountability for that. We can't get accountability 494 00:34:27,440 --> 00:34:31,000 Speaker 1: for the gain of function activities and these biolabs that 495 00:34:31,160 --> 00:34:35,120 Speaker 1: resulted in a h you know, a pandemic that you know, 496 00:34:35,280 --> 00:34:39,319 Speaker 1: injured and killed millions, you know, again, nothing nobody and 497 00:34:39,360 --> 00:34:42,320 Speaker 1: for the mRNA shots, for lying to the public that 498 00:34:42,440 --> 00:34:45,160 Speaker 1: they stay in the army. They get it go away 499 00:34:45,280 --> 00:34:49,320 Speaker 1: in like a few days. They're safe. Everybody should take them. 500 00:34:49,640 --> 00:34:54,920 Speaker 1: Pregnant women should take them. Nothing's happened for fault making 501 00:34:54,960 --> 00:35:00,280 Speaker 1: false claims resulting in mass casualties, and so because because 502 00:35:00,320 --> 00:35:03,160 Speaker 1: of that, the same individuals can do the same thing. 503 00:35:03,800 --> 00:35:08,479 Speaker 1: And there's over thirty six hundred biolaboratories BSL or high 504 00:35:08,520 --> 00:35:13,480 Speaker 1: containment biolabs across the globe, the BSL three and BSL four, 505 00:35:14,120 --> 00:35:16,600 Speaker 1: and half of those over about half of those are 506 00:35:16,640 --> 00:35:20,520 Speaker 1: in the United States, and about seventy three percent of them. 507 00:35:20,560 --> 00:35:23,960 Speaker 1: We don't know their locations or what pathogens they're working with. 508 00:35:24,480 --> 00:35:26,960 Speaker 1: So it would be very easy for them to simply 509 00:35:27,600 --> 00:35:31,000 Speaker 1: cook up some monster pathogen. It could be a fungus, 510 00:35:31,400 --> 00:35:35,560 Speaker 1: it could even be a bacterium, and just release it 511 00:35:35,760 --> 00:35:39,200 Speaker 1: and do the same thing and then roll out more countermeasures. 512 00:35:39,880 --> 00:35:44,120 Speaker 1: That appears this time they may be rolling out micro 513 00:35:44,280 --> 00:35:49,399 Speaker 1: needle patch so called vaccines. These are dissolvable implants that 514 00:35:49,480 --> 00:35:52,560 Speaker 1: embed quantum dots in the skin that last for five 515 00:35:52,640 --> 00:35:57,960 Speaker 1: years for use of vaccine passport biological vaccine passports. So 516 00:35:58,080 --> 00:36:01,680 Speaker 1: again all of this technogy, it's all been developed, it's 517 00:36:01,719 --> 00:36:05,840 Speaker 1: all published in the literature, and now they go on 518 00:36:05,960 --> 00:36:09,960 Speaker 1: TV and say there will be another pandemic and they claim, 519 00:36:10,200 --> 00:36:14,360 Speaker 1: you know, with one hundred percent certainty that there will 520 00:36:14,400 --> 00:36:17,800 Speaker 1: be and they almost seem excited to say it. And 521 00:36:17,840 --> 00:36:22,760 Speaker 1: these were the same individuals that were you know, instrumental 522 00:36:23,280 --> 00:36:27,840 Speaker 1: in the previous pandemic. And so, yeah, you know what 523 00:36:28,000 --> 00:36:30,520 Speaker 1: needs to happen to stop this is there should be 524 00:36:30,600 --> 00:36:34,960 Speaker 1: a global moratorium on any gain of function research and 525 00:36:35,280 --> 00:36:40,400 Speaker 1: you know, coordinated effort to literally destroy any and all 526 00:36:40,800 --> 00:36:46,120 Speaker 1: modified pathogens with pandemic potential that do not exist in nature. 527 00:36:46,200 --> 00:36:48,520 Speaker 1: They should not be anywhere, they should be destroyed. 528 00:36:49,760 --> 00:36:52,480 Speaker 2: I completely agree. I I that's where I get back to. 529 00:36:52,560 --> 00:36:54,839 Speaker 2: I mean, you know, I also spend a little time 530 00:36:54,920 --> 00:36:57,480 Speaker 2: with the Central Intelligence Agency, and so I know a 531 00:36:57,600 --> 00:37:00,239 Speaker 2: sigh up when I see it, right. And so the 532 00:37:00,640 --> 00:37:04,160 Speaker 2: reality is I agree with y'all. I think we have 533 00:37:04,280 --> 00:37:10,560 Speaker 2: been coerced into believing something that was wholly inaccurate. I 534 00:37:10,600 --> 00:37:14,799 Speaker 2: think the overwhelming majority of our population in particular, woke up. 535 00:37:15,320 --> 00:37:18,480 Speaker 2: Thank God for Elon Musk buy an X and giving 536 00:37:18,520 --> 00:37:23,719 Speaker 2: all these uh doctor McCullough, uh, you know Batachari, all 537 00:37:23,760 --> 00:37:29,239 Speaker 2: these incredible, very prominent physicians of voice then to move 538 00:37:29,320 --> 00:37:33,960 Speaker 2: forward and call this stuff out. But again I think, you're, you're, you're, 539 00:37:34,120 --> 00:37:36,600 Speaker 2: You've hit the nail on the head. The problem is 540 00:37:37,000 --> 00:37:42,520 Speaker 2: we are not getting any single uh ramificate. There's no 541 00:37:42,640 --> 00:37:44,920 Speaker 2: ramifications for this or anything. And then, you know, and 542 00:37:45,000 --> 00:37:48,239 Speaker 2: that falls right in the line with with Epstein and 543 00:37:48,239 --> 00:37:51,279 Speaker 2: and corruption in Minnesota and l A and the l 544 00:37:51,320 --> 00:37:54,880 Speaker 2: A fires and the Hawaii fires, and it's just one 545 00:37:55,160 --> 00:38:01,640 Speaker 2: continuous you know, f you to the American people and 546 00:38:01,719 --> 00:38:06,080 Speaker 2: the population of the world. So how would uh UH 547 00:38:06,520 --> 00:38:10,680 Speaker 2: in international moraitorum work? Like? How how do how does 548 00:38:10,719 --> 00:38:14,880 Speaker 2: that take place? Is it coordination effort of large NGOs? 549 00:38:15,200 --> 00:38:20,680 Speaker 2: Is it just a grassroots with a population? How does that? 550 00:38:20,840 --> 00:38:21,960 Speaker 2: What does that look like? 551 00:38:23,040 --> 00:38:25,960 Speaker 1: It would have to be some sort of intergovernmental treaty 552 00:38:26,120 --> 00:38:29,960 Speaker 1: to I guess agree to never do this research again. 553 00:38:30,120 --> 00:38:32,319 Speaker 1: But you know, I know that that's you know, that 554 00:38:32,360 --> 00:38:36,160 Speaker 1: would be very hard to accomplish for sure, given the 555 00:38:36,680 --> 00:38:42,080 Speaker 1: geopolitical situations. But that appears to be what would what 556 00:38:42,120 --> 00:38:46,160 Speaker 1: would be needed, and we are many ways away from that. 557 00:38:46,280 --> 00:38:48,040 Speaker 1: I guess we would need to be in a state 558 00:38:48,640 --> 00:38:52,680 Speaker 1: of global peace in order for that to succeed. So 559 00:38:52,840 --> 00:38:57,840 Speaker 1: that's that's many ways away. But at least what we 560 00:38:57,880 --> 00:39:00,960 Speaker 1: should do is in our own country in it, you know, 561 00:39:01,040 --> 00:39:04,000 Speaker 1: that's that would be the first step, and ensure nothing 562 00:39:04,040 --> 00:39:07,359 Speaker 1: can get out of our bio laboratories and that and 563 00:39:07,400 --> 00:39:11,880 Speaker 1: none of these NGOs that are funding gain of function activities, 564 00:39:13,080 --> 00:39:17,440 Speaker 1: you know, all of those those organizations should be investigated. 565 00:39:18,560 --> 00:39:22,080 Speaker 1: We know Gates Foundation funded bird flu gain of function 566 00:39:22,200 --> 00:39:27,920 Speaker 1: research in twenty ten Dave Yoshihiro Kawaoka at the University 567 00:39:27,920 --> 00:39:31,959 Speaker 1: of Wisconsin Madison, like millions of dollars to make bird 568 00:39:32,040 --> 00:39:35,640 Speaker 1: flu more transmissible among humans. And so why you know 569 00:39:35,800 --> 00:39:37,080 Speaker 1: this should not be occurring. 570 00:39:38,000 --> 00:39:40,879 Speaker 2: I agree wholeheartedly. All right, let's get back. Let's let's 571 00:39:40,920 --> 00:39:43,720 Speaker 2: kind of wrap it up with with the greatest challenge 572 00:39:43,760 --> 00:39:51,719 Speaker 2: that we're facing, and that's the the impediment psychologically for 573 00:39:51,920 --> 00:39:59,160 Speaker 2: human beings to reach that kind of threshold of action, 574 00:40:00,360 --> 00:40:03,480 Speaker 2: and where we stopped being the guinea pigs, we stop 575 00:40:03,760 --> 00:40:08,920 Speaker 2: experiencing the corruption, we stop allowing you know, unnecessary conflicts 576 00:40:09,000 --> 00:40:11,560 Speaker 2: and foreign wars or all that stuff, and we push 577 00:40:11,719 --> 00:40:15,759 Speaker 2: back on this this process. I think it's completely indicative 578 00:40:15,840 --> 00:40:18,480 Speaker 2: of the magnitude of what we're facing by the vote 579 00:40:18,480 --> 00:40:21,680 Speaker 2: that Nancy Mays put forward last week on in the 580 00:40:21,760 --> 00:40:26,880 Speaker 2: House about exposing the sexual abuse claims slush fun in 581 00:40:27,040 --> 00:40:30,960 Speaker 2: Congress that everybody on both sides voted not to to 582 00:40:31,080 --> 00:40:34,200 Speaker 2: push forward because you know, they don't want to, They 583 00:40:34,239 --> 00:40:40,400 Speaker 2: don't want to out themselves as being scumbags. So what 584 00:40:40,600 --> 00:40:43,560 Speaker 2: do you believe? I mean, obviously, as a scientist, I 585 00:40:43,680 --> 00:40:47,360 Speaker 2: think you know there's a lot of the science behind 586 00:40:47,440 --> 00:40:50,840 Speaker 2: the impact, the negative impacts from the shots and the 587 00:40:51,640 --> 00:40:56,920 Speaker 2: and the other the other potentialities of of gain of 588 00:40:57,000 --> 00:41:00,560 Speaker 2: function is You're incredibly clear. But I'm sure you also, 589 00:41:00,920 --> 00:41:04,000 Speaker 2: your foundation, your team has spent a lot of time 590 00:41:04,080 --> 00:41:07,680 Speaker 2: on trying to figure out why won't people get across 591 00:41:07,920 --> 00:41:10,880 Speaker 2: that threshold and say, you know what I was lied to, 592 00:41:11,160 --> 00:41:14,800 Speaker 2: I was dupe. It dramatically affected me, It affected my 593 00:41:15,320 --> 00:41:18,680 Speaker 2: family and affected my neighbor. Now let's do something. 594 00:41:19,840 --> 00:41:24,360 Speaker 1: Yeah, yeah, I would say the process of that has happened, 595 00:41:24,480 --> 00:41:27,480 Speaker 1: thankfully to a large number of people. Right now, fifty 596 00:41:27,560 --> 00:41:31,240 Speaker 1: six percent of Americans, according to a recent Resmuse and survey, 597 00:41:31,760 --> 00:41:35,279 Speaker 1: do believe the COVID shots caused mass deaths. So I 598 00:41:35,360 --> 00:41:37,799 Speaker 1: think it is the majority now that has gone through 599 00:41:38,000 --> 00:41:42,600 Speaker 1: the acceptance process of what has happened to not only them, 600 00:41:42,800 --> 00:41:47,080 Speaker 1: but they're family members. But there's that remaining forty percent 601 00:41:48,040 --> 00:41:52,120 Speaker 1: that may still be an incomplete denial. And again I 602 00:41:52,200 --> 00:41:58,480 Speaker 1: think they are in denial because they got five, six, seven, 603 00:41:58,760 --> 00:42:03,200 Speaker 1: eight mr names, their family members got it. They told 604 00:42:03,320 --> 00:42:06,719 Speaker 1: their family members to get it. Our parents gave you know, 605 00:42:06,920 --> 00:42:10,560 Speaker 1: four boosters to their their little babies, their little children, 606 00:42:11,000 --> 00:42:14,919 Speaker 1: and they do not. That's it's extremely difficult for them 607 00:42:15,040 --> 00:42:18,560 Speaker 1: to come to terms with what they may have done 608 00:42:18,800 --> 00:42:23,840 Speaker 1: to their child, to the grandparent, or to themselves. And 609 00:42:24,800 --> 00:42:27,759 Speaker 1: so it's going to take some more time and more exposure. 610 00:42:28,800 --> 00:42:32,960 Speaker 1: But again that is the minority now. But I think 611 00:42:33,080 --> 00:42:37,800 Speaker 1: what needs to happen to accelerate that process is we 612 00:42:38,040 --> 00:42:43,440 Speaker 1: need this messaging to come from the federal government and 613 00:42:43,719 --> 00:42:47,400 Speaker 1: from their mainstream news media that that's all of some 614 00:42:47,520 --> 00:42:50,480 Speaker 1: of these individuals watch. And so if they hear it 615 00:42:50,600 --> 00:42:54,320 Speaker 1: from the people that they trust, they will begin to 616 00:42:54,400 --> 00:42:58,320 Speaker 1: realize what has happened. But again that that has not happened, 617 00:42:58,400 --> 00:43:01,920 Speaker 1: that has not happened. Even the current HHS administration has 618 00:43:02,040 --> 00:43:05,920 Speaker 1: not been fully transparent on what these COVID shots have 619 00:43:06,120 --> 00:43:10,160 Speaker 1: done to people unfortunately, and they're still being given to 620 00:43:10,400 --> 00:43:15,600 Speaker 1: six month old babies. So yeah, it's it's a big process. 621 00:43:15,680 --> 00:43:20,120 Speaker 1: And then particularly doctors, doctors that are still administering these 622 00:43:20,239 --> 00:43:24,040 Speaker 1: pediatricians that are giving these they are in a in 623 00:43:24,160 --> 00:43:28,359 Speaker 1: a state of under mass psychosis as well because they 624 00:43:28,440 --> 00:43:32,920 Speaker 1: have given these shots to probably now thousands upon thousands 625 00:43:33,000 --> 00:43:36,840 Speaker 1: of patients or children, and they do not want to 626 00:43:36,960 --> 00:43:40,080 Speaker 1: admit what they may have done to their own patients. 627 00:43:40,880 --> 00:43:47,400 Speaker 2: Yeah, I you know, I it's interesting. You know, you what, 628 00:43:47,719 --> 00:43:51,560 Speaker 2: over time, you become indoctrinated into a concept, right, and 629 00:43:52,000 --> 00:43:55,400 Speaker 2: and and I think you know that in and of itself, 630 00:43:55,480 --> 00:44:00,920 Speaker 2: there was no greater deliverable of that propag and trust 631 00:44:01,000 --> 00:44:04,080 Speaker 2: the science, right, I think it was so simple, it 632 00:44:04,160 --> 00:44:06,800 Speaker 2: was so brilliant, you know, trust the people that you 633 00:44:07,920 --> 00:44:11,120 Speaker 2: allowed to get into these positions. And I think what 634 00:44:11,719 --> 00:44:14,600 Speaker 2: what people hit the irony in it is, you know, 635 00:44:14,719 --> 00:44:17,799 Speaker 2: in one sense and they'll say, uh, you know, oh yeah, 636 00:44:18,200 --> 00:44:20,080 Speaker 2: get the shot, it's great. And the next they'll be like, 637 00:44:20,200 --> 00:44:23,239 Speaker 2: you know, the government killed Kennedy, you know, and you're like, well, 638 00:44:23,239 --> 00:44:25,840 Speaker 2: they're the same thing. Why aren't you Why aren't you 639 00:44:25,880 --> 00:44:30,480 Speaker 2: able to cross those thresholds? And it's it's it's you 640 00:44:30,560 --> 00:44:34,799 Speaker 2: know that psychosis is is tough to break down. Nick. 641 00:44:34,960 --> 00:44:40,279 Speaker 2: Moving forward, Uh, what is your initiative? What are you 642 00:44:40,480 --> 00:44:44,879 Speaker 2: looking to see happen in the short term? And then 643 00:44:45,880 --> 00:44:48,640 Speaker 2: as an entire in terms of the mccallugh Foundation, what 644 00:44:48,760 --> 00:44:52,040 Speaker 2: are y'all focused on? And Uh, what what can we 645 00:44:52,160 --> 00:44:53,319 Speaker 2: expect next from you guys? 646 00:44:54,360 --> 00:44:59,239 Speaker 1: Well, the short term legislative goal, that is a primary 647 00:44:59,320 --> 00:45:01,880 Speaker 1: goal at the moment, as like you mentioned earlier, we 648 00:45:02,040 --> 00:45:06,080 Speaker 1: recently testified at that Idaho State Senate for a bill 649 00:45:06,280 --> 00:45:08,840 Speaker 1: that would ban the MR and A injections for at 650 00:45:08,920 --> 00:45:13,360 Speaker 1: least children and pregnant women. And since that has passed 651 00:45:13,760 --> 00:45:18,480 Speaker 1: the committee hearing with a majority vote, it will now 652 00:45:18,680 --> 00:45:23,040 Speaker 1: hopefully go to the Senate floor and the House floor 653 00:45:23,040 --> 00:45:24,960 Speaker 1: and hopefully get put into loss and we are going 654 00:45:25,040 --> 00:45:28,839 Speaker 1: to be supporting that and hopefully getting helping to get 655 00:45:28,920 --> 00:45:33,719 Speaker 1: the first moratorium bill passed in the United States. Are 656 00:45:33,760 --> 00:45:37,160 Speaker 1: actually in the world, I'm not aware of any bill 657 00:45:37,239 --> 00:45:41,080 Speaker 1: that has passed that has banned or put a moratorium 658 00:45:41,120 --> 00:45:44,440 Speaker 1: on the COVID shots, even for certain age groups. So 659 00:45:44,680 --> 00:45:48,520 Speaker 1: that's got to pass. And also at the McCollough Foundation, 660 00:45:48,680 --> 00:45:54,680 Speaker 1: we're working on many more scientific studies to really fully 661 00:45:54,840 --> 00:45:58,240 Speaker 1: uncover what these shots have done to people. We recently 662 00:45:58,360 --> 00:46:02,960 Speaker 1: published a case for finding vaccine components in an individual 663 00:46:03,480 --> 00:46:06,120 Speaker 1: three and a half years after his last shot. We 664 00:46:06,239 --> 00:46:14,120 Speaker 1: found spike protein, mRNA and plasmid DNA in multiple biological specimens, 665 00:46:14,360 --> 00:46:19,879 Speaker 1: and he had no documented infection, no nucleocaps at anybodies, 666 00:46:19,880 --> 00:46:23,239 Speaker 1: which means it was not from the infection. And we're 667 00:46:23,280 --> 00:46:26,280 Speaker 1: going to continue to crank out studies like that because 668 00:46:26,360 --> 00:46:30,759 Speaker 1: our government, our regulatory agencies, public health agencies, are not 669 00:46:31,360 --> 00:46:34,880 Speaker 1: doing these studies. We haven't seen any come out looking 670 00:46:35,040 --> 00:46:39,200 Speaker 1: at these long term implications from these shots. So you know, 671 00:46:39,440 --> 00:46:43,120 Speaker 1: multiple studies coming out ones very soon where we found 672 00:46:43,200 --> 00:46:47,239 Speaker 1: excess infant mortality right after these shots rolled out in 673 00:46:47,320 --> 00:46:51,040 Speaker 1: the Philippines. And so you know, we're going to keep 674 00:46:51,120 --> 00:46:54,440 Speaker 1: doing that, and we're gonna look at other things. We're 675 00:46:54,480 --> 00:46:57,200 Speaker 1: gonna be looking at the biolabs, and we're gonna be 676 00:46:57,280 --> 00:47:01,120 Speaker 1: looking at the childhood vaccinations because there's a very big 677 00:47:01,280 --> 00:47:02,239 Speaker 1: problem there as well. 678 00:47:03,000 --> 00:47:06,440 Speaker 2: I agree, man, I think those two components are are massive, 679 00:47:07,080 --> 00:47:09,080 Speaker 2: you know, I mean it's you know, when you when 680 00:47:09,120 --> 00:47:11,800 Speaker 2: you there's two things you can tackle, right if you 681 00:47:12,360 --> 00:47:15,880 Speaker 2: a person knows there's a bio lab in their backyard, 682 00:47:16,000 --> 00:47:18,040 Speaker 2: they're gonna get pissed, right. And the other thing is 683 00:47:18,800 --> 00:47:22,000 Speaker 2: if they're you're harming their kid because you lied about something, 684 00:47:22,040 --> 00:47:26,000 Speaker 2: they're gonna get angry. So those are great places to start, 685 00:47:26,160 --> 00:47:28,600 Speaker 2: and as well as the you know, you get Idaho 686 00:47:28,719 --> 00:47:32,320 Speaker 2: to go, maybe you get Montana next and Florida after that. 687 00:47:32,440 --> 00:47:35,200 Speaker 2: I certainly know the Florida Surgeon General has been kind 688 00:47:35,239 --> 00:47:38,600 Speaker 2: of leading a charge down where I live too. So Nick, 689 00:47:38,840 --> 00:47:40,799 Speaker 2: I can't thank you enough for coming on. How can 690 00:47:40,880 --> 00:47:44,320 Speaker 2: people follow you? And uh and the foundation? 691 00:47:45,239 --> 00:47:47,680 Speaker 1: Well, thanks for having me and people can follow me 692 00:47:47,960 --> 00:47:52,000 Speaker 1: on my x account at and I see culture. But 693 00:47:52,120 --> 00:47:55,640 Speaker 1: you can also follow me on Instagram, Facebook, and if 694 00:47:55,640 --> 00:47:57,759 Speaker 1: you want, you can follow me on LinkedIn that's where 695 00:47:57,760 --> 00:48:00,960 Speaker 1: a lot of the trolls are. And then but yeah, 696 00:48:01,080 --> 00:48:05,960 Speaker 1: my sub stack is called the Focal Points Vfocalpoints dot com. 697 00:48:06,120 --> 00:48:09,359 Speaker 1: I'm with doctor Peter McCullough and John Leak. We post 698 00:48:09,440 --> 00:48:12,960 Speaker 1: there daily and all of the breaking research and yeah, 699 00:48:13,000 --> 00:48:15,400 Speaker 1: any of those spots you'll be able to find the 700 00:48:15,560 --> 00:48:16,280 Speaker 1: latest news. 701 00:48:17,040 --> 00:48:19,360 Speaker 2: Great, Nick, thank you so much and keep up the 702 00:48:19,400 --> 00:48:22,040 Speaker 2: great work man. God bless you guys. Thank you God 703 00:48:22,080 --> 00:48:22,400 Speaker 2: bless you.