WEBVTT 00:23.396 --> 00:26.560 Now, Dr. Gallo and Dr. Fauci talked a lot about isolation and purification. 00:27.040 --> 00:28.862 Can you tell me what the difference is between the two? 00:30.844 --> 00:31.585 Isolation, what was it? 00:31.765 --> 00:32.947 Isolation and purification. 00:34.709 --> 00:35.430 Of the virus? 00:35.530 --> 00:35.730 Yes. 00:36.971 --> 00:38.733 Well, you isolate a virus by 00:45.538 --> 00:48.001 finding the virus which causes a disease. 00:48.661 --> 00:53.526 You purify a virus by making a lot of, I mean, just by purifying it so you get a pure virus. 00:54.327 --> 00:56.049 I don't understand what the issue is. 00:56.089 --> 00:56.249 I see. 00:56.269 --> 00:57.830 No, it depends on how they use it. 01:11.004 --> 01:12.925 Well, didn't Dr. Gallo do that? 01:13.025 --> 01:14.846 I mean, he actually isolated it. 01:15.206 --> 01:19.048 I mean, why should I do all of this? 01:19.108 --> 01:21.149 This is all textbook stuff you're asking me. 03:23.729 --> 03:23.929 Oh. 04:21.179 --> 04:32.788 Did you really want audio to that I didn't think you really wanted audio to that This This scam, did you see all the people in that video? 04:34.289 --> 04:49.200 Watch the list of people Tim Poole's handler Super clown making fun of AOC and also on Australian news all the time as an American thought leader Robert Malone 04:50.413 --> 04:51.774 Jill Glasspool Malone. 04:57.399 --> 04:58.880 And they're selling you t-shirts. 05:13.593 --> 05:15.454 Dom Lucra, he's real big on X. 05:16.963 --> 05:19.025 Nurse Erin, oh my gosh. 05:19.685 --> 05:22.447 Come on, ladies and gentlemen, we need to wake up fast. 05:24.128 --> 05:35.636 I recently visited Hiroshima in Japan and stood at the epicenter of a city that remains scarred by the unimaginable horror caused by a single nuclear bomb dropped in 1945, 80 years ago. 05:42.779 --> 05:51.615 It's hard for me to find the words to express what I saw, the stories that I heard, the haunting sadness that still remains. 05:51.715 --> 05:54.200 This is an experience that will stay with me forever. 05:56.445 --> 06:10.171 This attack obliterated the city, killed over 300,000 people, many dying instantly while others died from severe burns, injuries, radiation sickness, and cancer that set in in the following months and years. 06:11.191 --> 06:13.132 Nagasaki suffered the same fate. 06:13.372 --> 06:16.854 Homes, schools, families, all gone in a flash. 06:17.794 --> 06:21.376 The survivors... Just an interesting anecdote. 06:22.536 --> 06:23.797 In January of 2023, 06:26.388 --> 06:29.570 The following people were on stage together in Stockholm, Sweden. 06:30.371 --> 06:50.826 Sasha Latipova, the mother of Soph, Meryl Nass, super anthrax bio-expert, Robert Malone, multi-outbreak expert, bioethicist extraordinaire, and actually, you know, basically a disambiguation wizard. 06:52.186 --> 07:00.672 Aseem Malhotra, the guy who pushed mRNA until his dad died, and then that apparently woke him up to the truth of things. 07:01.813 --> 07:06.796 And finally, an interesting fellow by the name of Mike Palmer, who has an interesting book. 07:06.876 --> 07:11.359 Michael Palmer is a biochemist from Canada with German background. 07:12.260 --> 07:19.685 And he is the default leader of the Doctors for COVID Ethics, which actually split into two at some point. 07:20.509 --> 07:35.053 during the pandemic and became the Medical Doctors for COVID Ethics International with Stephen Frost, and then this group, Doctors for COVID Ethics, where I think Thomas Binder and Sukrit Bhakti hung out. 07:35.153 --> 07:38.654 But as soon as the two groups split, I basically didn't go with either of them. 07:40.315 --> 07:43.455 I got very frustrated with the idea and how it split. 07:43.516 --> 07:48.477 But one of the main reasons why it split was because Mike Palmer, 07:49.969 --> 08:02.238 Michael Palmer has a book on the internet about Hiroshima not being real, and that it was actually a large amount of TNT with some radioactive material, i.e. 08:02.298 --> 08:11.205 a dirty bomb, and some mustard gas to create the chemical burns, and they lied to you about it being a nuclear weapon. 08:14.422 --> 08:17.544 So essentially the the Manhattan Project is fake yada yada. 08:18.084 --> 08:37.993 And so then this dude by the name of Hodgkinson an old guy with glasses who's been on a lot of podcasts and he's kind of ornery and he taught you've seen him, but I've never I The guy drives me bananas, but he and Mike Palmer had an argument Because 08:39.636 --> 08:54.852 Hodgkinson said that Mike Palmer shouldn't be able to be the leader because we can't trust him because he has this stupid book on the internet archive that says there are no nukes and so that disqualifies him as an intellectual. 08:54.932 --> 08:55.853 Obviously he's an idiot. 08:56.693 --> 09:15.431 And so they basically made people choose about whether it was okay for Mike Palmer to have that book, it didn't matter because this is a pandemic now, or whether we should get out of here because Mike Palmer is a hardcore German guy who sticks to parliamentary procedure too much and needs to get off his high horse. 09:16.604 --> 09:17.925 That actually happened. 09:17.985 --> 09:20.086 I actually was there when it happened. 09:20.266 --> 09:22.148 And so it's curious, right? 09:22.208 --> 09:39.939 That, that now we're, remember, I'm just, you know, it's a random connection, but the dude, the one dude that was kind of sort of supposed to be responsible for the splitting of the group of the doctors for COVID ethics into two groups in 2021, I think, but I'd have to go look at my notebook again. 09:40.779 --> 09:58.143 And he has a book and that was the reason why the split happened and then that guy found himself on stage with Robert Malone a couple years later with Sasha Latipova and Meryl Nass and Haseem Malhotra who's now the scientific advisor for the Maha whatever. 09:59.143 --> 10:01.064 I mean, he can't make this up. 10:01.424 --> 10:05.725 He just got to realize that the patterns on the board are actually pretty relevant. 10:06.533 --> 10:17.655 And there's been so much effort to try and throw other patterns on the wall and other irrelevant connections on the wall when the obvious ones, they're just incriminating. 10:19.456 --> 10:20.696 Anyway, back to the show. 10:21.316 --> 10:29.518 The Hibakusha, they carried the pain of extreme burns, radiation sickness, and loss for decades. 10:32.239 --> 10:42.161 Survivors of this attack were asked to put in paintings and drawings their own memories and how they felt and what they saw. 10:42.361 --> 10:58.204 And those paintings and the suffering that they conveyed, the pain and the sense of loss were almost more powerful than the photos themselves. 10:59.588 --> 11:06.094 Yet this one bomb that caused so much destruction on Hiroshima was tiny compared to today's nuclear bombs. 11:06.895 --> 11:20.087 The bomb that was dropped on Hiroshima had a yield of just 15 kilotons of TNT, whereas today's nuclear warheads range in size from 100 kilotons to over one megaton. 11:20.527 --> 11:24.471 A single nuclear weapon today could kill millions in just minutes. 11:25.291 --> 11:29.133 Just one of these nuclear bombs would vaporize everything at its core. 11:29.573 --> 11:32.034 People, buildings, life itself. 11:33.215 --> 11:38.257 The shockwave would crush structures miles away, killing and maiming countless people. 11:38.998 --> 11:40.759 And then comes the fallout. 11:41.259 --> 11:49.243 Radioactive poison spreading through the air, water and soil, condemning survivors to agonizing deaths or lifelong suffering. 11:50.194 --> 11:59.769 A nuclear winter could follow, with smoke and ash completely blocking the sun, plunging the world into darkness and cold, killing crops and starving billions. 12:00.811 --> 12:05.338 Acid rain would scar the Earth, wiping out entire ecosystems. 12:06.636 --> 12:09.458 This isn't some made-up science fiction story. 12:10.079 --> 12:14.462 This is the reality of what's at stake, what we are facing now. 12:14.542 --> 12:26.651 Because as we stand here today, closer to the brink of nuclear annihilation than ever before, political elite and warmongers are carelessly fomenting fear and tensions between nuclear powers. 12:28.066 --> 12:37.319 Perhaps it's because they are confident that they will have access to nuclear shelters for themselves and for their families that regular people won't have access to. 12:38.801 --> 12:44.849 So it's up to us, the people, to speak up and demand an end to this madness. 12:46.087 --> 12:54.450 We must reject this path to nuclear war and work toward a world where no one has to live in fear of a nuclear holocaust. 12:54.570 --> 12:56.891 Save the buildings, use neutron bombs. 13:10.854 --> 13:12.796 I don't think it's all funny, ladies and gentlemen. 13:12.816 --> 13:14.217 I don't think it's all funny at all. 13:14.257 --> 13:19.042 But sometimes, gosh, it's hard to hold on to it all the time. 13:19.102 --> 13:20.984 It's hard to hold on to it all the time. 13:21.004 --> 13:23.846 I don't care how you get there. 13:23.866 --> 13:26.549 I don't care what you do to get there. 13:26.569 --> 13:33.095 The goal is to win. 13:33.956 --> 13:34.877 What time is it? 13:34.957 --> 13:35.698 Game time! 13:35.798 --> 13:35.918 Woo! 13:50.800 --> 13:51.881 I had my volume down. 13:51.901 --> 13:53.202 Good morning, ladies and gentlemen. 13:53.262 --> 13:54.102 Welcome to the show. 13:54.122 --> 14:00.346 This is Giga Home Biological, high resistance, low noise information brief brought to you by a biologist. 14:01.767 --> 14:04.248 I'm not really sure what to say, ladies and gentlemen. 14:05.129 --> 14:08.931 I don't want to suddenly become a physicist. 14:08.951 --> 14:11.813 I don't want to suddenly take sides on the nuke issue. 14:13.368 --> 14:27.513 I think nuclear war and nuclear weapons don't make a lot of sense from many different perspectives but I do think it makes a lot of sense for everybody to believe that there are bombs that are a hundred times the size of whatever was dropped in Hiroshima. 14:28.454 --> 14:35.036 I don't know what 50 kilotons of TNT looks like when it goes off and I definitely don't know how to tell the difference. 14:36.136 --> 14:38.677 I don't know if there are other ways to make strontium-90 14:40.738 --> 14:42.079 appear in people's teeth. 14:42.880 --> 14:50.647 All I know is that right now they can tell us whatever they want to tell us because everybody's using social media to learn and that's a very big mistake. 14:51.488 --> 14:55.091 Autism Spectrum Disorder is a, it's a myth. 14:55.391 --> 14:57.654 It's used, it's a biological myth. 14:57.714 --> 14:58.474 It's not to say 14:59.665 --> 15:12.916 that those conditions don't exist, but to rope them all together as one autism spectrum disorder is a mythology, and that is helping them to sustain this illusion. 15:13.817 --> 15:24.807 It's helping make sure that intramuscular ejection is never questioned as a methodology, virology is never questioned as a science, and public health is never questioned as either a reason or an answer. 15:27.304 --> 15:31.048 and what you just experienced and we just experienced and my gosh. 15:32.034 --> 15:33.235 Talk about heartbreaking. 15:34.056 --> 15:44.645 What the class of 2025 experienced is this mythology in full force, and a bunch of adults who didn't understand the trap that they were in. 15:44.725 --> 15:46.866 They didn't understand why the cheese was free. 15:47.547 --> 15:56.855 They didn't understand why the iPads were free, and the Chromebooks were free, and the pandemic's funding was free, and all this stuff. 15:56.875 --> 15:57.916 They didn't understand it. 15:58.959 --> 16:02.640 And that's why they're still in the trap now, but it was really heartbreaking. 16:03.161 --> 16:14.745 Yesterday, I had the privilege of going to a high school graduation ceremony at Bethel Park High School in the south region of Pittsburgh, Pennsylvania. 16:14.865 --> 16:16.185 Pittsburgh is a pretty big place. 16:19.406 --> 16:27.828 The population is spread out much beyond Pittsburgh's borders and in the south part of the map is where I live. 16:28.348 --> 16:29.949 Wow, I really ran out the music there. 16:29.989 --> 16:30.309 Hold on. 16:33.090 --> 16:38.631 The south part of Pittsburgh is where I live and a lot of hills out here. 16:41.549 --> 16:47.610 And this is actually the school district and the high school where Matthew Crooks went to school. 16:48.231 --> 16:58.813 Matthew Crooks is the boy that was found on the roof in Butler, Pennsylvania and blamed for the shooting of the ear of Donald Trump. 16:59.753 --> 17:01.034 I don't even remember when that was. 17:01.094 --> 17:01.554 I guess it was 2024. 17:05.601 --> 17:07.765 Or maybe it was I don't know was it 23. 17:07.925 --> 17:09.688 Can somebody tell me what that date was? 17:11.610 --> 17:15.494 Anyway, if you're here for a while, you are here at the top of the wave. 17:15.534 --> 17:16.975 I'm not saying you're not getting wet. 17:17.035 --> 17:18.476 I'm not saying you're not going to drink. 17:19.677 --> 17:23.081 I'm just saying that you're here at the top of the wave trying to stay above water. 17:23.961 --> 17:26.223 And if you're not, you're here for the first time. 17:26.264 --> 17:27.465 July 13th, when? 17:27.845 --> 17:28.345 Last year? 17:30.267 --> 17:32.629 You need to stay focused on the Violet 24. 17:32.689 --> 17:33.911 Thank you very much. 17:33.971 --> 17:36.293 Don't take their bait and love your neighbor. 17:38.706 --> 17:41.508 I guess maybe then he graduated in 2022. 17:41.609 --> 17:42.549 That might be the thing. 17:42.609 --> 17:44.891 So he was a recent graduate of the high school. 17:46.112 --> 17:48.134 And so, yes, this is Jonathan Cooley. 17:48.154 --> 17:50.716 I'm coming to you live from Pittsburgh, Pennsylvania right now. 17:50.976 --> 17:57.082 And I'll just segue into that little explanation and then we'll go on to the work of the day. 17:57.142 --> 18:01.485 I got to get done quick because my kids are home from school. 18:02.566 --> 18:04.048 And that changes everything. 18:04.108 --> 18:09.936 Don't forget I've got this YouTube channel called JC on a Bike where you can see the very first videos I made as a YouTuber. 18:10.717 --> 18:18.227 Naively thinking I was about to boost my higher ability as a college, you know... 18:18.707 --> 18:21.770 Professor Sort Guy by making a YouTube channel. 18:22.431 --> 18:25.113 Boy, was that a... that was a big mistake. 18:25.314 --> 18:27.876 Anyway, or at least it turned out not the way I planned. 18:28.136 --> 18:30.338 I'm now streaming live on JC in the Woods. 18:31.239 --> 18:35.103 You can find that at j.c.inthewoods. 18:35.423 --> 18:39.667 All one thing, or with the spaces you should be able to find it on YouTube. 18:41.268 --> 18:42.829 You know that I helped with that book. 18:42.849 --> 18:44.549 You know that I'm friends with Jayanta. 18:45.570 --> 18:48.411 And you know that this work is supported by you. 18:48.431 --> 18:50.291 Otherwise, you probably wouldn't be here. 18:51.051 --> 18:55.933 But if you are here for the first time, you can go to GigaOMBiological.com and find out what this is all about. 18:57.134 --> 19:00.095 See an archive of old videos all the way back to 2021. 19:00.235 --> 19:07.197 And you can download some of the stuff we're reading at the link stuff if you want to catch up. 19:07.257 --> 19:09.838 That won't be very hard because I'm a little behind myself. 19:10.738 --> 19:20.846 And if you really want to know how far behind you are, if you've never heard of Housatonic ITS and Mark Kulak out of Boston, Massachusetts, then I'm afraid you're very, very far behind. 19:21.546 --> 19:28.071 And so check him out, follow him on all those platforms, so all those platforms think he's cool. 19:29.052 --> 19:30.613 This is the Independent Bright Web. 19:31.634 --> 19:36.938 What that basically means is I'm more or less a one-man show, provided you accept the fact that I have a 19:38.299 --> 19:44.266 a family of five and they helped me out a lot with emotional and physical support. 19:46.669 --> 19:50.153 They are a great reason why I'm here. 19:51.134 --> 19:52.376 In fact, I think you could 19:54.229 --> 20:00.034 You could say they're the only reason why I'm here, and I don't think that's crazy. 20:00.154 --> 20:04.158 Don't forget that you are probably under the spell of a team of performers. 20:04.218 --> 20:08.582 If you're still using social media actively, you have been fooled. 20:08.882 --> 20:14.066 And the way that you were fooled with regard to the pandemic was that there was a giant biological signal 20:14.807 --> 20:21.972 A big train was gonna come into the station, and you have been fooled into believing that you need to help stop it. 20:22.532 --> 20:26.095 And you were fooled by, like, a hundred thousand people on internet. 20:26.735 --> 20:34.641 Fake accounts, real accounts, and their bots, into thinking that you had to help slow the train, and then you had to help get it started again. 20:34.661 --> 20:37.483 That's basically the pandemic, all in a nutshell. 20:38.263 --> 20:44.987 And Robert Malone and Jessica Rose and Meryl Nass, these people were all part of that show. 20:45.047 --> 20:51.390 And many of these people were actually put in place, many of these people were put in place years before the pandemic. 20:51.830 --> 21:07.019 With the specific design of them being there to slow walk us through this mystery solving exercise where we think that the most likely result is that the pandemic is due to a lab leak, that we responded with a 21:08.059 --> 21:22.477 a ham-fisted response that it resulted in even more death especially in America and then in the end we ended up transfecting people and it worked but it would have worked a hell of a lot better had it not been contaminated with DNA and that's 21:23.493 --> 21:24.753 That's basically where we are. 21:25.094 --> 21:33.696 I mean, we've gotten here with such a smooth, you know, all the way guided, unfortunately, by a guy like Kevin McKernan. 21:34.417 --> 21:41.159 He's been there from the very beginning, crazily enough, podcasting with a guy who used to work for the World Bank. 21:42.725 --> 21:44.826 Anyway, that was 2025. 21:44.887 --> 21:46.287 This thing we watched yesterday. 21:46.307 --> 21:47.068 It was really good. 21:47.148 --> 21:49.129 I think it's worth watching again with you. 21:49.570 --> 21:50.830 If you haven't seen it, check it out. 21:51.371 --> 21:57.695 And then I've been kind of drawing attention to Mary Bowden, thinking that she might be an unwitting participant. 21:58.716 --> 22:04.360 Kind of hopefully thinking that, but she's been on too many podcasts with too many long con kind of people. 22:05.320 --> 22:08.963 This guy's been playing the same stunt man for a very long time. 22:08.983 --> 22:11.224 And so on and so on. 22:14.086 --> 22:18.707 And again, I've been focused on Mary Talley Bowden because I thought maybe she's a good guy. 22:18.867 --> 22:37.454 And I've been waiting for somebody to do the research, somebody to, you know, really realize that even on my archived link on my YouTube, or am I sorry, on my website that I just showed you, there is an interview with Mary Talley Bowden and myself from July of 2022. 22:39.739 --> 22:48.583 And if any of you had the wherewithal to find it, or if you saw it that I posted it yesterday on my peer tube, only like 40 people watch it. 22:48.603 --> 22:50.243 So I guess not very many people saw it. 22:50.283 --> 22:58.327 But that video, in my opinion, I think my money is on the fact that what we're going to hear is a script. 22:58.407 --> 23:00.687 And I think I'm going to be able to teach off of it. 23:00.747 --> 23:09.071 I think I'm going to be able to show you or reason why it is a script and not just what a doctor would say. 23:09.980 --> 23:16.825 Now that's what I think is so cool about having these kinds of snapshots and then also kind of analyzing them live. 23:16.925 --> 23:17.846 I put it up there. 23:17.866 --> 23:20.328 I haven't seen all of it. 23:20.448 --> 23:27.433 I've seen some bits of it and I've sampled like three separate time points long enough to understand that I'm pretty sure 23:28.922 --> 23:30.384 I'm pretty sure there's a theme here. 23:30.484 --> 23:33.869 So I'm going to share this with you together at the same time. 23:33.929 --> 23:34.770 I'll take some notes. 23:34.810 --> 23:36.592 We'll talk about it if we have to pause it. 23:37.794 --> 23:40.497 But I think we should just get on with it. 23:41.999 --> 23:42.580 This is me. 23:42.620 --> 23:43.361 I'll just let it run. 23:44.906 --> 23:46.146 Good evening, ladies and gentlemen. 23:46.606 --> 23:47.887 Another special brief for you. 23:47.987 --> 23:51.047 I do have the throat at that time already. 23:51.507 --> 23:54.508 And so he'll have to tolerate the frog throat from me. 23:54.568 --> 24:05.009 But I'm going to put myself super tiny down in the bottom because this was when I was in my bedroom still at my old address that people posted Zillow pictures of and stuff a few years ago. 24:05.490 --> 24:09.070 And I still have the same exact microphone setup. 24:09.110 --> 24:09.750 It's right there. 24:09.810 --> 24:12.811 It's just that you can't see it anymore because I got better with photography. 24:14.825 --> 24:21.529 I don't know what the point is of showing a big giant microphone unless you really need it there because that's how far away you have to be from the microphone. 24:21.949 --> 24:27.212 You can also choose a microphone that doesn't need you so close and then you basically almost get the same results. 24:27.792 --> 24:35.177 But you know, it looks cool if you have a big old sure $300 microphone in front of you or $800 microphone in front of you. 24:35.817 --> 24:38.719 How I remember that, that Banksy thing, that's cool. 24:39.639 --> 24:42.441 I'm gonna make myself a little bit tinier. 24:43.697 --> 24:46.019 Let's see, I might have to fast forward this a little bit. 24:46.279 --> 24:48.080 Hopefully this will be a very sharp stream. 24:48.200 --> 24:50.161 I hope I don't make a fool of myself. 24:50.862 --> 24:53.363 Wow, see how humble I was in 2022? 24:54.284 --> 24:57.226 I was just trying to catch up with these people. 24:58.406 --> 24:59.667 Could be worse, I guess. 24:59.827 --> 25:01.288 Oh, I gotta be a little soft. 25:02.349 --> 25:04.210 I gotta put myself a little smaller. 25:07.032 --> 25:08.233 Because we have a guest. 25:09.474 --> 25:09.874 Yes. 25:11.075 --> 25:11.475 A guest. 25:13.806 --> 25:16.890 We have a guest tonight to this afternoon. 25:16.930 --> 25:18.732 That's why I'm on early, Harold Zoid. 25:18.792 --> 25:19.773 Thank you for noticing. 25:20.354 --> 25:25.420 We have a guest tonight, or this afternoon, Dr. Mary Talley Bowden. 25:26.541 --> 25:28.543 And I hope to have her on in a few minutes. 25:28.563 --> 25:29.745 Oh, I got to get that slide out. 25:29.765 --> 25:30.666 Wow, that's funny. 25:30.806 --> 25:33.409 At which case, I don't remember how I made that. 25:35.373 --> 25:35.954 That's funny. 25:36.294 --> 25:38.696 I must have found a web tool or something that did that. 25:38.716 --> 25:40.157 It looks pretty low resolution. 25:40.197 --> 25:42.639 I probably just pirated something off the internet. 25:43.660 --> 25:43.880 Funny. 25:44.481 --> 25:44.701 Sure. 25:44.741 --> 25:45.161 Why not? 25:45.602 --> 25:45.982 That one. 25:47.704 --> 25:49.005 I might just click forward. 25:49.025 --> 25:52.868 I don't want to waste too much time with this starting part here. 25:52.908 --> 25:53.068 OK. 25:53.308 --> 25:53.609 Don't. 25:54.589 --> 25:54.870 Oh, yeah. 25:54.890 --> 25:55.150 First. 25:55.470 --> 25:55.750 Sorry. 25:57.838 --> 25:57.958 of a 26:11.047 --> 26:22.235 So what we're listening for is a doctor who doesn't know everything, but apparently went against the grain and started treating people, lost her job. 26:22.776 --> 26:32.043 And then what I'm going to be listening for and what I want to coach you to listen for are the details of her biological model of what's actually happening. 26:33.058 --> 26:48.312 and where the details are missing and where there's kind of a, yeah, the X, Y, and Z. If you hear a lot of this X, Y, and Z stuff that wouldn't really make sense from a pre-pandemic perspective, I'm gonna stop it and we'll work it out a little bit. 26:48.452 --> 26:52.516 Joining me, I'm actually talking to you over there, but then I'm streaming you over there. 26:52.576 --> 26:53.937 So that's why it looks a little funny. 26:56.339 --> 26:58.661 Oh, no, I'm extremely excited to talk to you. 26:59.989 --> 27:02.191 So I tried to preface it a little bit. 27:02.231 --> 27:03.612 We haven't met until right now. 27:04.192 --> 27:07.735 But because everybody's got so little time, I think it's just important to get it out there. 27:08.636 --> 27:14.520 I have a stream that I've been doing for about two years where we talk about immunology and we've talked about the coronavirus for two years straight. 27:15.561 --> 27:17.322 We do journal clubs and everything else. 27:17.382 --> 27:18.503 And so we're very much on. 27:19.198 --> 27:23.880 the page of real biology and immunology and that it's not as simple as antibodies. 27:24.921 --> 27:32.024 And so you're the first MD that we've ever had on that can come on and tell us about how this actually unfolded. 27:32.625 --> 27:34.986 So I don't know if that's too much to ask, but 27:35.786 --> 27:49.729 For me, I would love to hear the story of how you went from getting the bulletin that there is some unknown pathogen that's coming our way to realizing that something was horribly wrong. 27:50.429 --> 27:56.791 And then now you're here in some people's book a hero and other people's book a pariah. 27:56.891 --> 28:03.673 And so I just want to give you the floor and let you go to town and then maybe ask some questions, but I don't need to say anything. 28:05.762 --> 28:06.723 Well, thank you. 28:07.583 --> 28:12.247 So, I'm a nursing and sleep medicine physician. 28:12.687 --> 28:14.048 I work in Houston, Texas. 28:15.109 --> 28:17.111 I did my residency at Stanford. 28:17.691 --> 28:19.333 So I already see her looking down. 28:19.393 --> 28:20.593 Now that could be nothing. 28:20.613 --> 28:24.957 It just depends on how you would put your notes. 28:25.037 --> 28:27.219 But if you don't want to be seen, 28:28.328 --> 28:33.270 Then you need to put the notes in places where they are visible, but they don't need to be moved. 28:33.350 --> 28:35.391 And they don't need to be turned or turned up. 28:35.451 --> 28:37.052 Maybe turning over is okay. 28:37.892 --> 28:39.173 So watch for that kind of stuff. 28:40.673 --> 28:44.255 I'm just telling you that because... Which one am I using? 28:44.275 --> 28:45.335 I guess I'm using that one. 28:46.236 --> 28:54.819 I'm just telling you that because, you know, with this camera I could... I can show you... How should I best do that so I can set it back up? 28:54.879 --> 28:56.140 Well, I can... I mean... 28:57.526 --> 29:00.007 this camera could, I could take that off, I guess. 29:00.107 --> 29:08.070 I don't, I don't, it's, it's just that I don't, I don't ever have, I don't ever have any notes. 29:09.470 --> 29:16.392 Um, the notes for me, the, the, or maybe the slides, the slides don't even have notes. 29:16.472 --> 29:18.253 So what I see is what you see. 29:18.273 --> 29:26.656 Um, the rest is just because I've done a lot of work, um, probably worked as hard, um, in the last five years. 29:28.601 --> 29:36.985 as I've ever worked in my life, mostly because it was a labor of desperation. 29:40.226 --> 29:55.834 I mean, I've read more pages of stuff in the last five years than I probably read in my entire professional career before that, simply because in reading of 29:56.972 --> 30:05.463 of academic biology, so much of what you read meets your expectations and so you can read it very fast and process it very quickly. 30:06.364 --> 30:12.411 And reading during the pandemic was a very slow and deliberate process. 30:13.766 --> 30:32.641 and a double checking and keeping things straight and also trying to dismiss a bunch of things that more and more have become clear to me are kind of irrelevant concepts that are designed to complicate things that don't need to be complicated because that complication implies understanding that isn't there. 30:34.022 --> 30:35.263 You know, if, if, uh, 30:36.843 --> 30:43.905 If you know all the names of all the cars on the road, you can imply a bunch of mastery. 30:43.945 --> 30:46.206 Oh, that's a Cadillac DeVille. 30:46.226 --> 30:47.706 Oh, that's a this, that, and the other. 30:47.766 --> 30:57.289 And somebody might assume that your knowledge of cars and their mechanics and whatever is just complete at the mastery level, whereas you could be a fool 30:58.149 --> 31:08.379 when it comes to the actual maintenance of an automobile and your advice on when to change the oil or what tire pressure to run at would be absurd to follow. 31:09.540 --> 31:20.110 But you could create quite a ruse with the detailed knowledge of the year and model and number of colors that came in in that year. 31:21.127 --> 31:22.931 you could really impress somebody. 31:22.971 --> 31:27.620 And then when you said, yeah, but you shouldn't change the oil in that car, except for every 10,000 miles. 31:27.660 --> 31:29.002 And then you shouldn't use synthetic. 31:29.483 --> 31:31.327 They might say, wow, he knows everything. 31:32.768 --> 31:36.551 And I think there's a lot of academic biology that ends up to be that way. 31:36.711 --> 31:46.879 A lot of academic biology ends up to be that there's almost an incentive to create the illusion that you're working on something that is separate and different from everything else. 31:46.939 --> 31:55.206 And then it's almost in your best interest to find as many things that set your work apart from everybody else's as possible. 31:55.986 --> 32:01.651 And as a consequence, we've created a lot of dead ends that are just imaginary. 32:02.688 --> 32:04.269 What did I come over for this slide for? 32:04.329 --> 32:06.589 I was gonna use that camera, but I guess I decided not to. 32:06.669 --> 32:07.670 Okay, back to Mary. 32:08.670 --> 32:14.832 I moved to Houston after residency and I worked at a little small private ENT practice. 32:16.232 --> 32:23.615 I ended up having four boys in five years, so I took a big chunk of time off because I had to attend to them. 32:24.864 --> 32:35.948 And then six months before the pandemic hit, I had opened up a new practice that it was different in that it's called direct specialty care. 32:36.588 --> 32:38.989 I'm not contracted with any insurance companies. 32:39.049 --> 32:40.690 I'm not contracted with the government. 32:41.710 --> 32:44.651 I'm not, no relationship with pharmaceutical companies. 32:44.731 --> 32:46.272 I'm just working for my patients. 32:47.222 --> 32:54.247 So I start this, you know, I see a lot of respiratory tract infections as an ENT doctor, and I had patients asking me how to get tested. 32:55.028 --> 32:58.110 And one of the tools I was- So she's not looking everywhere. 32:58.330 --> 33:01.092 See, she only looks down here where I'm sitting now. 33:01.172 --> 33:05.035 And if, and that's the most important thing. 33:05.455 --> 33:09.919 If she keeps looking down here through the whole hour, that would be fine. 33:09.959 --> 33:11.220 But if she looks down here, 33:12.321 --> 33:20.310 tell a certain time point when she starts to look over to the other side or look up or something like that, then it might be a little strange. 33:20.330 --> 33:28.639 I was using for patients with chronic sinusitis was a PCR test for bacterial infections in the sinuses. 33:29.540 --> 33:33.304 And the company that was doing these PCR tests, 33:34.175 --> 33:37.638 pivoted and started a saliva test for COVID. 33:38.638 --> 33:47.986 And my practice is located in a strip center on purpose because I wanted to make it easy in and out, no parking garages to deal with. 33:48.786 --> 33:58.614 Now PCR testing for bacteria could in theory be a much more high resolution thing for which PCR could be used. 34:03.453 --> 34:08.538 And depending on how it's deployed, it could have been a much higher resolution kind of test. 34:09.159 --> 34:16.767 She didn't tell us the details of the test, but she did tell us that the company that started COVID testing was also 34:17.984 --> 34:20.586 previously doing PCR testing in bacteria. 34:20.606 --> 34:29.894 That's an interesting story because I don't know how many companies in Texas would have been doing testing of bacteria by PCR at the start of the pandemic. 34:29.914 --> 34:31.315 We might need to go back a little bit. 34:31.335 --> 34:43.025 So when the saliva test came by, it was actually, I had opened up a new practice that it was different in that it's called direct specialty care. 34:43.769 --> 34:46.190 I'm not contracted with any insurance companies. 34:46.250 --> 34:47.871 I'm not contracted with the government. 34:48.732 --> 34:52.714 So did she, she knew already right away to open up her own practice. 34:52.854 --> 34:57.737 I thought she lost her job at a hospital or something like that, but maybe this isn't the same lady. 34:58.597 --> 35:01.739 So I didn't hear anything, but did you hear anything about losing her job? 35:01.899 --> 35:02.960 I darn it. 35:03.020 --> 35:04.040 Did I blow something there? 35:06.662 --> 35:06.982 Hold on. 35:07.022 --> 35:07.402 Let me see. 35:09.023 --> 35:09.283 Okay. 35:09.463 --> 35:10.204 Let's just run it. 35:11.044 --> 35:11.384 Sorry. 35:11.544 --> 35:12.565 I'll just keep taking notes. 35:12.990 --> 35:16.051 I'm not, no relationship with pharmaceutical companies. 35:16.131 --> 35:17.711 I'm just working for my patients. 35:18.612 --> 35:25.634 So I start this, you know, I see a lot of respiratory tract infections as an ENT doctor, and I had patients asking me how to get tested. 35:26.434 --> 35:34.977 And one of the tools I was using for patients with chronic sinusitis was a PCR test for bacterial infections in the sinuses. 35:35.857 --> 35:39.618 And the company that was doing these PCR tests 35:40.506 --> 35:43.968 pivoted and started a saliva test for COVID. 35:44.969 --> 35:54.315 And my practice is located in a strip center on purpose because I wanted to make it easy in and out, no parking garages to deal with. 35:55.116 --> 36:03.822 So when the saliva test came by, it was actually ideal because patients could just go to their car, spit in a cup, leave it outside our door, and it was contact free. 36:04.864 --> 36:20.854 Well, I was one of the only people in our area that was able to provide 24 to 48 hour turnaround time for COVID tests early on when it was just a. So that's interesting because Ryan Cole is also very, very lucky. 36:21.781 --> 36:30.050 to be one of these guys who was early in adapting and getting it, you know, being able to have the infrastructure to do it. 36:30.150 --> 36:31.571 She's, you know, lucky enough. 36:31.691 --> 36:34.054 She had it in a mall and ready to go. 36:34.074 --> 36:36.356 I'm not really sure. 36:36.376 --> 36:43.003 I'm not going to develop an opinion yet, but this already easy in and out. 36:45.888 --> 36:48.931 It's not like she's not advertising for herself, right? 36:48.971 --> 36:51.934 It's almost like, you know, I don't work for anybody. 36:51.994 --> 36:53.095 I work for my patients. 36:53.235 --> 37:03.384 As an ENT doctor, she was treating chronic sinus infections using bacterial PCR tests, which might be a very legitimate way to figure out which 37:04.352 --> 37:11.798 which antibiotic would be appropriate and maybe whether there's one kind of bacteria or another kind of bacteria. 37:11.838 --> 37:25.390 And it's very plausible that that kind of thing would work because bacterial infections, if they're relatively homogenous, will have a pretty, I think, a pretty homogenous genetic background signal that could be tapped for that. 37:25.470 --> 37:27.071 I don't think that's implausible. 37:28.172 --> 37:31.913 show from, you know, LabCorp got completely overwhelmed. 37:32.613 --> 37:36.354 And then they ran out of the swabs, they ran out of supplies. 37:36.814 --> 37:45.797 So I was one of the few places where... So she's one of the few people who's able to testify to exactly how this didn't work, and that didn't work, and they ran out of this. 37:48.325 --> 37:52.088 And so it's not that she's talking about the respiratory disease yet. 37:52.148 --> 37:55.450 She's not talking about why she thought it was a new disease yet. 37:56.051 --> 38:01.214 She's just talking about the logistics of the failure, why she was an exception to the rule. 38:02.615 --> 38:04.757 Okay, just keep in mind, that's what's happening here. 38:04.837 --> 38:09.200 You could get a COVID results back in 24 to 48 hours. 38:09.280 --> 38:15.064 So my practice just exploded into this COVID testing center just, 38:16.235 --> 38:16.756 overnight. 38:17.416 --> 38:22.141 And then, you know, then I had all these patients coming to me saying my primary care doctor won't see me. 38:22.321 --> 38:26.606 You know, they test positive for COVID and I'm like, well, go see your primary care doctor. 38:26.626 --> 38:30.730 They're like, well, my primary care doctor has closed their clinic and refusing to see me. 38:31.290 --> 38:35.254 Or my primary care doctor says, well, just stay home and there's nothing you can do. 38:36.195 --> 38:47.440 Well, that didn't really sit well with me, and I started doing breathing treatments, and I put patients in their cars and used portable nebulizers and had them do breathing treatments in their cars. 38:48.321 --> 38:58.626 And then I just started researching more and more about what could be done with these patients, and I'm only an outpatient doctor, so my goal was to keep people out of the hospital. 38:59.466 --> 39:03.194 So I started learning about Ivermectin, hydroxychloroquine. 39:03.735 --> 39:06.541 When monoclonal antibodies were available, I provided those. 39:07.475 --> 39:10.998 And now my practice has evolved into the next best thing to the hospital. 39:11.338 --> 39:15.301 She provided monoclonal antibodies, and that means she's an outpatient place. 39:15.341 --> 39:17.803 I guess you can give IV at an outpatient place, though. 39:17.843 --> 39:18.543 I guess that's true. 39:18.603 --> 39:20.945 Because patients are so scared to go to the hospital. 39:20.965 --> 39:25.589 So I have people walking into my clinic with oxygen saturations in the low 80s. 39:26.890 --> 39:28.611 It's interesting, though. 39:28.651 --> 39:31.213 I mean, it's an interesting thing to drop. 39:32.415 --> 39:36.077 It's almost like checking a box because, you know, you'd want to be specific. 39:36.177 --> 39:44.461 For a while, we were able to get Regeneron and then we tried, you know, because there is a little more than just when antibodies were available. 39:44.981 --> 39:49.784 I got to listen to that again because antibodies, are we talking about monoclonal antibodies? 39:49.804 --> 39:55.307 Are we talking about the serum of people who have recovered? 39:55.347 --> 39:55.827 I don't know which. 39:56.449 --> 39:59.351 because I have been able to help them and keep them out. 39:59.992 --> 40:06.577 My practice just exploded into this COVID testing center just overnight. 40:07.217 --> 40:11.941 And then, you know, then I had all these patients coming to me saying my primary care doctor won't see me. 40:12.121 --> 40:16.564 You know, they test positive for COVID and I'm like, well, go see your primary care doctor. 40:16.604 --> 40:20.527 Like, well, my primary care doctor has closed their clinic and refusing to see me. 40:21.087 --> 40:25.050 Or my primary care doctor says, well, just stay home and there's nothing you can do. 40:25.991 --> 40:37.209 Well, that didn't really sit well for me with me and I started doing breathing treatments and I put patients in their cars and use portable nebulizers and have them do breathing treatments in their cars. 40:38.120 --> 40:42.662 And then I just started researching more and more about what could be done with these patients. 40:43.362 --> 40:45.543 And I'm only an outpatient doctor. 40:45.663 --> 40:48.484 So my goal was to keep people out of the hospital. 40:49.285 --> 40:53.026 So I started learning about ivermectin, hydroxychloroquine. 40:53.547 --> 40:56.348 When monoclonal antibodies were available, I provided those. 40:57.287 --> 41:03.191 And now my practice has evolved into the next best thing to the hospital because patients are so scared to go to the hospital. 41:03.251 --> 41:08.814 So I have people walking into my clinic with oxygen saturations in the low 80s. 41:08.974 --> 41:13.537 But it's very cool because I have been able to help them and keep them out of the hospital. 41:13.758 --> 41:21.182 Whereas prior to the pandemic, if somebody came into my office without oxygen level, I would have called in the ambulance. 41:22.623 --> 41:35.929 One thing that is interesting that we've learned from this pandemic is the concept of permissive hypoxemia, where you can let somebody, basically you let their oxygen level go at a lower level than you thought possible. 41:36.169 --> 41:41.452 Like earlier, you know, if somebody came to the ER with an oxygen saturation of 82%, they would have been intubated. 41:42.381 --> 41:44.043 Now I'm able to treat it. 41:44.703 --> 41:46.745 I basically give them high-dose steroids. 41:46.785 --> 41:48.046 I give them IV antibiotics. 41:48.106 --> 41:52.110 I give them high-dose vitamin C. I give them IV pepsin. 41:52.150 --> 41:55.112 I give them glutathione, B12, B-complex. 41:55.593 --> 41:58.455 I give them a brief... I mean, this is impossible. 41:59.356 --> 42:04.301 The uniformity of this script right here is impossible. 42:05.689 --> 42:07.511 Um, because it's actually titrating. 42:07.571 --> 42:09.713 This is July of 2022. 42:09.913 --> 42:17.480 So she's trying to imply a progression of understanding that at the beginning of the pandemic, we didn't get it at the beginning of the pandemic. 42:17.520 --> 42:20.343 We were doing this, but now we understand that it can be this way. 42:20.383 --> 42:22.965 So I send them to their car with a nebulizer. 42:22.985 --> 42:25.207 I, I get, Oh my gosh. 42:25.667 --> 42:26.448 Oh my gosh. 42:26.568 --> 42:27.249 Come on now. 42:30.894 --> 42:33.316 Unless it's her true experience. 42:33.577 --> 42:36.940 I mean, you can say that about each and every one of these people. 42:37.961 --> 42:39.582 You can say that about Robert Malone. 42:39.602 --> 42:41.324 What if it's his true experience? 42:42.425 --> 42:44.066 You can say that about Meryl Nass. 42:45.408 --> 42:47.570 Or Stephen Hadfield. 42:49.343 --> 42:56.307 What we've got to do is start making decisions about things and having people come forward and talk to us again. 42:56.987 --> 43:02.350 This is a very, very interesting set of words here. 43:05.632 --> 43:06.673 Just put it that way. 43:06.713 --> 43:08.734 It's a very interesting set of words. 43:08.814 --> 43:15.457 It's not to me as spontaneous and convincing of spontaneity as I had hoped. 43:16.926 --> 43:22.509 When you say that they would have been intubated, do you mean that as a general treatment or since COVID? 43:24.149 --> 43:27.491 No, I think prior to, well, probably both. 43:27.851 --> 43:38.556 I mean, we're supposed to remember one of the things we have to accept is that she just happened to open a independent clinic as an ENT doctor. 43:40.160 --> 43:52.850 at the pandemic and just happened to stumble into a must have been very lucrative business of testing people for COVID and perpetuating the narrative that it could be tested for. 43:52.910 --> 43:59.896 Now, she may be an unwitting participant and just have been recruited, given the opportunity to do it. 43:59.936 --> 44:00.877 Hey, this is coming. 44:00.957 --> 44:02.838 So if you wanna get ahead of it, this is the tip. 44:03.459 --> 44:06.581 You know, like an insider trading tip when you don't even know why. 44:06.602 --> 44:09.404 Buy Inovio, sell Inovio. 44:13.618 --> 44:16.479 It could be, I mean, we could say that it's possible. 44:17.399 --> 44:30.024 But I guess what I'm saying is if somebody came to the emergency room at oxygen saturation at 82%, I mean, they wouldn't have been immediately intubated, but let's just assume that you got them on oxygen and they couldn't get above 90, which they probably can't. 44:31.564 --> 44:32.884 Why would you intubate them? 44:32.965 --> 44:34.885 Why is intubating them better? 44:35.545 --> 44:37.046 I don't understand that at all. 44:38.539 --> 44:40.280 It's very, very interesting. 44:40.340 --> 44:48.705 It's really like they're trying to edit out the possibility that first they would be given supplementary oxygen, because that's what Kyle Seidel said they did. 44:49.105 --> 44:51.326 That's what Pierre Kory said they did. 44:52.627 --> 44:59.751 Without doing some interventions, that would have been grounds for intubating most patients, right? 45:00.031 --> 45:02.933 And now we realize, I mean, I'm sending these patients. 45:02.973 --> 45:04.033 Why does she say, right? 45:04.154 --> 45:04.994 I'm not a doctor. 45:05.154 --> 45:06.315 Well, how the hell would I know? 45:07.372 --> 45:12.155 As far as I understand, you're only supposed to intubate somebody when their chest has been crushed. 45:12.315 --> 45:22.361 As long as they can, you know, show some improvement and they're not acutely short of breath, I'm able to send them home and then they come back the next day if needed and get more of the same. 45:23.402 --> 45:27.004 But that's very, I think that's an interesting development from 45:27.654 --> 45:28.114 COVID. 45:28.274 --> 45:29.335 I mean, at least I've learned that. 45:29.415 --> 45:42.745 I don't know if the people in the hospital learn that, but I think the other, the other interesting thing is, um, that we can treat viruses because prior to the pandemic, I mean, like most doctors, I didn't think there was anything you could do for COVID. 45:42.945 --> 45:44.546 I mean, I just figured it's a virus. 45:44.726 --> 45:45.647 There's nothing you can do. 45:45.667 --> 45:47.949 What in the hell does that even mean? 45:48.109 --> 45:48.969 Holy crap. 45:50.210 --> 45:52.932 Before the pandemic, it's a virus. 45:53.092 --> 45:53.733 What can you do? 45:57.042 --> 45:58.424 Did doctors think that way? 45:58.525 --> 45:59.907 Is that how the flow chart goes? 46:00.027 --> 46:02.852 If virus yes, what can you do? 46:03.713 --> 46:05.096 Is that what they teach in med school? 46:08.891 --> 46:10.252 This is not possible. 46:10.672 --> 46:12.274 That line is not possible. 46:12.334 --> 46:14.456 I'm sorry, that's scripted as shit. 46:15.136 --> 46:16.998 There's nobody, nobody says that. 46:17.278 --> 46:18.639 Nobody says that. 46:19.239 --> 46:20.621 No way, no way. 46:21.281 --> 46:26.165 I'm able to send them home and then they come back the next day if needed and get more of the same. 46:27.206 --> 46:30.809 But that's very, I think that's an interesting development from 46:31.782 --> 46:33.142 I mean, at least I've learned that. 46:33.202 --> 46:46.525 I don't know if the people in the hospital have learned that, but I think the other interesting thing is that we can treat viruses because prior to the pandemic, I mean, like most doctors, I didn't think there was anything you could do for COVID. 46:46.725 --> 46:48.345 I mean, I just figured it's a virus. 46:48.505 --> 46:49.446 There's nothing you can do. 46:49.466 --> 46:50.606 We can't give them antibiotics. 46:52.266 --> 46:53.847 And I- And that murdered people. 46:55.387 --> 47:00.588 Don't you see that murdered people because you blamed a syndrome 47:01.952 --> 47:10.755 on a virus and then ruled out antibiotics for all subsequent symptoms, no matter what was developed, including pneumonia. 47:11.176 --> 47:14.857 We've talked about viral pneumonia for like three or four years now. 47:14.957 --> 47:16.478 She needs to clear that up, right? 47:16.518 --> 47:18.638 That there is no such thing as a viral pneumonia. 47:18.678 --> 47:19.819 Will she do that or not? 47:21.379 --> 47:29.283 I've just loved how now I've realized, yeah, you can manage somebody with a virus, um, which is a new development. 47:29.303 --> 47:30.303 So, 47:31.713 --> 47:33.575 And did you... It's a new development. 47:34.976 --> 47:35.196 Yep. 47:35.636 --> 47:36.918 So it's a new development. 47:37.718 --> 47:44.524 Before the pandemic, most doctors just didn't think you could treat viruses, but now it's a new development. 47:45.565 --> 47:46.266 Stop lying! 47:46.886 --> 47:50.850 I don't know what to say, ladies and gentlemen, but that is a scripted line there. 47:50.890 --> 47:53.192 That is not somebody trying to... 47:54.884 --> 48:13.423 trying to oh my gosh I'm mad who as an independent doctor still feel the the the change that at least from the perspective of a parent I really feel like I felt the change where my family doctor went from being a guy who was telling me what he thought to being a guy 48:13.891 --> 48:18.633 telling me what he was told that he should do or what the policy was. 48:20.313 --> 48:28.596 With the last two years that I've been talking to my family physician, it's been very much him telling me what he's read rather than what he thinks. 48:28.877 --> 48:33.058 And I find that change very difficult to accept. 48:33.938 --> 48:38.020 And I can't imagine what it would be like being the professional on the other end of that change. 48:39.022 --> 48:45.624 I think the hardest thing for me to swallow through all this is the primary care doctors shutting their doors to their patients. 48:45.804 --> 48:47.144 That shocked me. 48:47.704 --> 48:52.285 I mean, your job as a doctor is to treat patients. 48:52.305 --> 48:56.306 Did that actually happen or is that something that we're supposed to believe is happening? 48:56.606 --> 49:02.908 I would really like to hear the numbers on that because nobody I know of couldn't go to their doctor. 49:05.069 --> 49:08.331 It might've happened from a week, you know, or a month. 49:08.511 --> 49:13.514 I mean, I don't really know, but that sounds like, again, something that was queued up. 49:13.974 --> 49:19.197 The thing that bothers me the most about this is that, I don't know, I'd like to know the numbers on that one. 49:19.737 --> 49:26.681 All these physician offices closed their doors, and now, even there, there's still some doctors that won't see you if, 49:28.539 --> 49:33.344 if you're not vaccinated or if you have symptoms of COVID, they won't see you. 49:33.364 --> 49:38.389 And that is just completely shocking to me. 49:39.069 --> 49:46.717 I haven't taken my kids to any kind of, I haven't been to see a doctor or taken my kids, so I haven't had the first-hand patient experience that you're talking about. 49:47.871 --> 50:06.148 I certainly hear it from all of my patients, and I hear them say how they feel pressured to get the vaccine, they feel judged if they bring up... Yeah, I mean, I will temper my comments, because again, it is very possible for somebody to think they're doing 50:07.486 --> 50:31.057 really well and that they understand molecular biology enough to understand viruses versus bacteria and antibiotics versus antivirals and you know anesthetics versus analgesics and so they this is all you know just trying to keep up and again if if you've just 50:32.096 --> 50:43.085 fallen face first into the butter because you were allowed to test a bunch of people and call it a business, and it's still going strong, are you really gonna say, hey, this is all for nothing. 50:43.125 --> 50:44.386 They tricked me into doing this. 50:45.267 --> 50:46.208 I shouldn't be doing this. 50:46.228 --> 50:46.888 This is nuts. 50:47.209 --> 50:59.159 I mean, I don't know how very many people are supposed to see through it, especially if there was any, any, any focus at all on her like there was on me. 51:00.069 --> 51:05.690 If Robert Malone came to visit her, or she was invited, or you know, whoever came over and hung out. 51:05.730 --> 51:15.332 I don't know where she was up until 2022, but it would have been plenty of time for her to have, you know, gone somewhere with all of these people and sat down at a table and said, here's what's going on. 51:15.412 --> 51:17.173 And here's what we need from you. 51:17.273 --> 51:18.353 And it's an opportunity. 51:18.433 --> 51:24.094 And also if you, if you manage to pull it off, then we can also support you on the internet and blah, blah, blah, blah, blah. 51:25.095 --> 51:25.435 Great. 51:25.535 --> 51:26.155 Sounds good. 51:26.435 --> 51:27.015 Sign me up. 51:29.321 --> 51:29.762 I don't know. 51:30.563 --> 51:39.237 It's unfortunate, but I just think that line about, you know, before the pandemic, most doctors didn't think you could treat, but I don't even know what that, that, that's impossible. 51:39.277 --> 51:40.179 That's not a thought. 51:40.860 --> 51:41.541 That's a script. 51:43.041 --> 51:54.152 they, you know, they just feel like they're talking to a, you know, a planned answer that has no critical thinking to it. 51:54.212 --> 51:55.313 There's no discussion. 51:55.333 --> 51:57.455 It's just a one size fits all. 51:57.475 --> 51:58.557 It doesn't matter. 51:58.577 --> 52:02.400 You know, the natural immunity doesn't matter. 52:02.420 --> 52:03.662 I mean, it's, it's, 52:05.572 --> 52:06.373 It's pretty awful. 52:06.613 --> 52:12.918 I think one of the things that first cued me off that things were wrong was when I realized I thought natural immunity mattered. 52:12.958 --> 52:17.783 I thought that Mary Holland could travel during the pandemic because she had natural immunity. 52:17.843 --> 52:21.486 She had COVID for like two days, but took ivermectin and she was fine. 52:22.967 --> 52:25.489 I thought natural immunity allowed Mary Holland to travel. 52:26.610 --> 52:27.411 So it's weird. 52:27.431 --> 52:29.132 There's a lot of contradictory signals. 52:29.393 --> 52:33.296 They hadn't given one general recommendation about good health. 52:34.028 --> 52:35.909 like changing your practices a little bit. 52:35.949 --> 52:43.135 There's a pandemic coming, so maybe you want to think about seeing your doctor, checking your vitamin D level, whatever it might be. 52:43.675 --> 52:46.357 There had to have been something they could have said, and they said nothing. 52:49.019 --> 52:55.664 And of course, you're aware of the early treatment stuff, and you mentioned that you got on that pretty quick. 52:56.365 --> 53:02.009 Do you think it was important that you were in Texas, where there might have been less 53:03.553 --> 53:04.314 No, it didn't matter. 53:04.954 --> 53:10.439 OK, so I am in Harris County, which is a huge county in Houston. 53:10.899 --> 53:13.781 And it's very, very, very liberal. 53:13.901 --> 53:24.170 So I feel like a fish out of water, especially in the medical community, because the medical center is the biggest employer in the county. 53:25.177 --> 53:27.598 And the medical center brings in people from all over. 53:27.698 --> 53:30.240 It's not just born and bred Texans. 53:30.480 --> 53:32.921 So it's, you know, it's good. 53:32.961 --> 53:34.982 It's diverse, but it's also super liberal. 53:35.563 --> 53:37.804 Um, and particularly among doctors. 53:38.384 --> 53:38.724 I see. 53:39.765 --> 53:40.005 Yup. 53:40.165 --> 53:40.465 I see. 53:40.485 --> 53:41.726 I don't know if I like that. 53:41.746 --> 53:47.769 One of the things that I've been telling my viewers a lot is a story that I heard firsthand from, um, 53:48.795 --> 53:49.795 Wolfgang Wodach. 53:49.836 --> 53:50.916 Do you know who that guy is? 53:50.936 --> 53:52.417 He's from Germany. 53:52.497 --> 53:54.558 He's a respiratory physiologist. 53:54.578 --> 53:56.739 See, she doesn't know who Wolfgang Wodach is. 53:56.939 --> 54:03.282 That's a good sign that there's something there, you know? 54:03.402 --> 54:05.503 And I don't mean that she's a bad guy. 54:05.523 --> 54:12.386 I mean that she was cued up, that she was given a couple hints, and the stock tips paid off. 54:13.223 --> 54:21.911 The investment paid off and she just thinks that she's one of the lucky ones and now doing the right thing for her family. 54:21.931 --> 54:24.053 And so I don't think there's a lot of spite here. 54:24.633 --> 54:32.300 I certainly don't think there's a person who knows that behind the curtain people are going to be transfected and it's a terrible idea yet. 54:34.026 --> 54:35.427 I don't think so. 54:35.507 --> 54:43.711 Certainly doesn't seem like she's worried about it because she's calling it a vaccine and complaining about doctors not seeing people who don't want the vaccine. 54:43.731 --> 54:46.273 So she doesn't seem to be worried about the vaccine at all yet. 54:47.153 --> 54:51.816 He used to work for their public health service. 54:52.276 --> 54:59.942 And in 2009, he was involved in this swine flu pandemic slash bad flu vaccine thing in Germany. 55:00.702 --> 55:16.853 And when the pandemic first started, I was in an email exchange with him where he tried to convince me, and I know that I pretty much am sure he's right now, but I just wanted to see if you could confirm some of this, that as a respiratory physiologist every year, 55:17.733 --> 55:31.079 people die of, let's say, unknown general pneumonia, unknown viral pneumonia, because they're old and they have comorbidities, and we've never labeled it like we label it now. 55:31.779 --> 55:33.080 And from his perspective, 55:34.294 --> 55:54.582 So at this time, I hadn't done the work necessary to understand how big of a signal was hidden in the population pyramid, but I already know that biologically speaking, there is a signal that could be misconstrued as something novel if they just pretended that their PCR tests were specific for it. 55:54.902 --> 55:56.303 It might even come out right here. 55:56.323 --> 55:57.243 Or even tried. 55:57.947 --> 56:05.812 They never tried to really categorize these things as different viruses and find out whether it was one virus or another virus that was doing it. 56:06.813 --> 56:13.477 And now... So if that's true, then why are you, why would you have in your head already that you can't treat it? 56:13.697 --> 56:21.222 If you were never trying to differentiate viruses, then how do you know which one was viruses and which ones were treatable and which ones weren't? 56:22.697 --> 56:36.383 What an interesting agreement that, I don't want to be a picky guy, but it's, that seems to disagree with what she said earlier, which is that all doctors just assume that, you know, you can't treat a virus before the pandemic. 56:36.423 --> 56:40.004 But she says that before the pandemic, they weren't even paying attention to viruses. 56:40.404 --> 56:42.465 They weren't trying to differentiate from anything. 56:42.505 --> 56:46.427 Wolfgang Wodach says that, you know, respiratory disease is respiratory disease. 56:46.447 --> 56:48.608 We never had a molecular test to tell what it was. 56:50.134 --> 56:56.878 to suddenly say that we're going to categorize them and then say that they're only one, he thought was absurd. 56:56.918 --> 57:07.163 And he doesn't have the evidence because, you know, he's not a molecular biologist, but from his perspective, they always used to teach their med students that there are around 200 coronaviruses. 57:07.183 --> 57:10.525 So now she may be switching to the script on that side. 57:10.605 --> 57:11.466 Just watch her eyes. 57:12.146 --> 57:14.567 All cause basically the same kind of respiratory disease. 57:16.621 --> 57:23.226 Well, I will say, I don't know that we had the technology and that's been another advancement since COVID. 57:23.266 --> 57:28.651 Like I have a machine now in my office that can distinguish between 18 different viruses. 57:29.091 --> 57:36.858 Oh, I have a machine in my office that can distinguish between 18 different viruses. 57:44.284 --> 57:45.224 I don't know what, I don't know. 57:45.245 --> 57:45.665 I mean, 57:46.101 --> 57:49.983 Now, that would have been unheard of prior to the pandemic. 57:50.043 --> 57:54.224 That would have been unheard of prior to the pandemic, but she assumes it's all above board. 57:55.125 --> 57:57.626 Before the pandemic, we didn't have these things. 57:58.046 --> 58:02.648 But now that we have these things, I'm sure I know what was around before the pandemic. 58:03.453 --> 58:07.934 It's a background signal that they have no data on before the pandemic. 58:07.974 --> 58:09.594 Then they rolled out a bunch of machines. 58:09.675 --> 58:23.998 And even if they can measure it now, because you weren't measuring it then, you have no idea if what you're measuring right now is a set of novel signals with these new names or a set of old signals that have been given new names. 58:27.796 --> 58:31.958 And now we have these products and the FDA is not going to regulate them. 58:32.518 --> 58:43.442 She's talking about machines that can find 17 different viruses in there in a lot or all of the hospitals and testing facilities in America and around the world. 58:43.942 --> 58:46.443 And this is all an elaborate illusion. 58:47.651 --> 58:48.492 And it's good. 58:48.752 --> 58:53.895 I mean, I can distinguish between COVID and the flu and all these, and RSV. 58:54.155 --> 59:04.722 And I think prior to the pandemic, no one really cared because we didn't have the means of actually distinguishing very much. 59:05.243 --> 59:06.884 So I think that's part of it. 59:07.324 --> 59:10.026 Not to, I'm sure there's conspiracy behind it. 59:10.166 --> 59:11.046 No, no, no. 59:11.567 --> 59:13.308 I'm sure there's conspiracies behind it. 59:13.868 --> 59:14.549 What does that mean? 59:15.748 --> 59:20.530 Before the pandemic, we didn't measure any of those 17 viruses. 59:21.370 --> 59:23.832 And then after the pandemic, you started measuring them. 59:23.892 --> 59:36.477 Now that is equivalent to saying that before the pandemic, there were just cars, but after the pandemic, now we have dangerous cars and other dangerous cars and we can measure them all and they're spreading everywhere. 59:37.778 --> 59:42.960 And they're the reason why, you know, we have to vaccinate people or they're the reason why we have to lock down. 59:48.092 --> 01:00:06.218 I really only want to say that if there is an ongoing phenomenon which is responsible for X number of deaths every year that we didn't paint very specifically and now we're painting it very specifically, there is a possibility that we're making more of something that was already there. 01:00:06.438 --> 01:00:07.038 That's all. 01:00:07.398 --> 01:00:08.819 And I think that's one of the problems. 01:00:08.859 --> 01:00:13.000 I mean, if I have a conversation with my family and I tell them that 01:00:13.792 --> 01:00:27.419 between 2,800,000 and 3,000,000 people die every year in America, and then you divide that by 365 days, you start to figure out that when they say that 2,000 people died of COVID, it's not a giant number. 01:00:28.699 --> 01:00:35.282 And so that's part of this too, is having some perspective on what's actually going on in a hospital every day. 01:00:37.864 --> 01:00:39.644 And that's been very frustrating for me. 01:00:39.805 --> 01:00:40.485 Is there a way, 01:00:41.894 --> 01:00:57.158 or a tip or an idea that you have of how to get this tide to turn where we can start to take account of what really happened and not just keep running forward. 01:00:57.338 --> 01:01:02.059 Because I think we do have to realize that some people were very wrong for a very long time, right? 01:01:02.099 --> 01:01:02.339 I mean. 01:01:03.359 --> 01:01:03.639 Right. 01:01:03.659 --> 01:01:06.500 I mean, I do feel like a tide is shifting. 01:01:06.520 --> 01:01:07.120 I don't know. 01:01:09.406 --> 01:01:19.488 I mean, I think the more and more people that have vaccine reactions and come forward and are vocal about that, it can't be ignored. 01:01:21.629 --> 01:01:32.011 I've noticed a few more politicians standing up, like Ted Cruz was at the truckers convoy, which that gave me some hope. 01:01:32.391 --> 01:01:35.172 He's been pretty quiet on COVID. 01:01:37.332 --> 01:01:40.833 Yeah, I'm still I think now now that I don't. 01:01:40.893 --> 01:01:47.155 I'm not seeing as many sick people and I don't know about the rest of it, but in Houston it's dying down tremendously. 01:01:47.755 --> 01:01:50.096 Now I have time to be more vocal. 01:01:50.296 --> 01:01:51.696 Talk more on interviews. 01:01:53.177 --> 01:02:01.819 I'm suing Methodist Hospital to get their financial information and that will that will stay in the news and. 01:02:03.039 --> 01:02:04.900 We're gonna have a press conference soon. 01:02:04.920 --> 01:02:07.521 Why is she suing for their financial information? 01:02:07.561 --> 01:02:13.623 Wouldn't she have wanted to sue for her job or for the lost salary or some kind of professional thing? 01:02:13.663 --> 01:02:21.126 To talk about the frivolous complaints that are being made against doctors like me. 01:02:22.547 --> 01:02:30.150 So I think now that there aren't as many sick people, that doctors like myself are gonna have time to become more and more vocal. 01:02:31.505 --> 01:02:33.067 really get the message out. 01:02:34.088 --> 01:02:42.337 Did you have a plan or did you formulate a plan when you when you started to become successful treating patients? 01:02:42.357 --> 01:02:45.360 I don't know if there is a plan or is there 01:02:46.519 --> 01:03:01.930 I'm not getting this question out as the way I want to, but have you tried, I'm assuming you have, to collect data across these patients that you're treating so you can show what's happening and what improvements are occurring with your treatments and keeping track of this? 01:03:02.090 --> 01:03:02.350 Okay. 01:03:02.730 --> 01:03:03.030 Yes. 01:03:03.311 --> 01:03:13.778 And that's another goal of mine in the coming month or two is to really look at that data and organize it and analyze it and get it out there. 01:03:14.398 --> 01:03:14.679 I see. 01:03:15.560 --> 01:03:16.501 And so what do you have? 01:03:16.561 --> 01:03:18.883 Can you tell me like what kinds of data is data? 01:03:18.903 --> 01:03:24.607 Do you take just all kinds of measurements when they come in and then all kinds of measurements when they're fine? 01:03:24.667 --> 01:03:25.408 Or how do you do it? 01:03:26.329 --> 01:03:27.770 It's, I mean, it, it evolved. 01:03:27.790 --> 01:03:28.711 It's an evolving thing. 01:03:28.771 --> 01:03:30.392 I get, I used to track. 01:03:30.712 --> 01:03:40.260 Wouldn't you want to keep track of how ivermectin, what doses you're using, how many people are recovering, how long the recovery is. 01:03:41.843 --> 01:03:43.984 Don't you see what the issue is here? 01:03:44.084 --> 01:03:45.585 Don't you want to know what's happening? 01:03:45.665 --> 01:03:48.647 Don't you want to, you just assuming all those things work. 01:03:48.667 --> 01:03:50.247 So then what's the research you're going to do? 01:03:50.287 --> 01:03:51.528 What data are you going to collect? 01:03:52.048 --> 01:03:52.949 This is interesting. 01:03:53.009 --> 01:03:54.930 I don't, I don't think she's, Oh, wow. 01:03:55.450 --> 01:03:55.550 Yeah. 01:03:55.570 --> 01:03:57.251 Percent positives every week. 01:03:57.291 --> 01:03:59.992 Like, and, and then I used to try. 01:04:00.353 --> 01:04:03.674 And so what do you have, can you tell me like what kinds of data is data? 01:04:03.694 --> 01:04:09.417 Do you take just all kinds of measurements when they come in and then all kinds of measurements when they're fine? 01:04:09.477 --> 01:04:10.158 Or how do you do it? 01:04:11.115 --> 01:04:12.535 It's, I mean, it, it evolved. 01:04:12.575 --> 01:04:13.476 It's an evolving thing. 01:04:13.496 --> 01:04:24.219 Like it, I used to track, you know, percent positives every week, like, and, and then I used to track, okay, how many are, how many of the vaccinated are positive and how many of the unvaccinated are positive. 01:04:24.879 --> 01:04:25.820 Now I'm looking at. 01:04:26.300 --> 01:04:35.523 Oh, so it's about vaccinated, positive vaccinated, not positive and whether or not they're more likely to get COVID, which was a narrative that we argued about for another year. 01:04:35.563 --> 01:04:38.924 And she keeps looking down to the same side of herself on the desk. 01:04:39.244 --> 01:04:45.357 long-haul patients and vaccine reactions and what interventions I'm giving them and what the results are. 01:04:45.377 --> 01:04:50.468 I just sent out a survey about early treatment like 01:04:51.727 --> 01:04:58.770 trying to get information on who got early treatment, how successful it was, how many people ended up getting hospitalized. 01:05:00.331 --> 01:05:10.616 I mean, there's, and then I did an antibody study where I, everybody got, who had a natural immunity, who'd had prior COVID infection, but not vaccinated and no monoclonal antibodies. 01:05:11.116 --> 01:05:12.396 I got their antibody level. 01:05:12.977 --> 01:05:14.737 This is right after Delta. 01:05:14.937 --> 01:05:19.960 And then I looked to see if they got the Omicron variant and then what their antibody levels were after that. 01:05:22.061 --> 01:05:22.862 There you go. 01:05:22.922 --> 01:05:24.725 That was that was pretty uncomfortable. 01:05:24.785 --> 01:05:26.387 She had to push that one out boy. 01:05:26.467 --> 01:05:36.822 Wow, that was impressive You have any data from that last one did they get a boost again after their Omicron infection or did it not really? 01:05:37.628 --> 01:05:46.271 I'm still gathering that last data point, so it's hard to speculate at this point. 01:05:46.451 --> 01:05:51.933 The Omicron variant exists, and I'm checking whether people develop a seroprevalence to Omicron. 01:05:52.533 --> 01:05:53.033 Come on. 01:05:58.735 --> 01:06:00.676 Now, don't get me wrong. 01:06:02.037 --> 01:06:18.800 It's possible that Mary Talley Bowden is simply not biologically and scientifically sophisticated enough to know that if Robert Malone gave her these ideas, or Kevin McKernan gave her these research plans, and maybe a research assistant to help her, that this would feel very legitimate to her. 01:06:20.240 --> 01:06:23.961 Especially if they said you're working on behalf of whatever U.S. 01:06:24.001 --> 01:06:27.321 government, such and such, Human Genome Project military thing. 01:06:27.821 --> 01:06:29.482 It's not like she wouldn't fit the 01:06:31.400 --> 01:06:33.182 the profile of a military lady. 01:06:34.563 --> 01:06:59.884 It's not like a giant, multi-decade national security, you know, thing wouldn't, I mean, just don't, just leave your mind open to the possibility that she got on Joe Rogan, not because she's a freedom fighter, that they have the wool pulled over her eyes, and there's a possibility that we might wake her up, and then she'll call Joe Rogan and say, oh my goodness, Jay's got a, you gotta talk to Jay. 01:07:00.854 --> 01:07:01.955 that's not gonna happen. 01:07:02.896 --> 01:07:05.639 I don't think that's gonna happen because this, no. 01:07:06.099 --> 01:07:24.618 So many papers out during the pandemic that have shown that, you know, the health care worker data is always the best for me because I feel like, you know, you guys are the people who are gonna get regular low-level exposure and so you're most likely to build a, whatever they want to call it, but 01:07:25.512 --> 01:07:48.110 you're you're most likely to be as asymptomatic as anyone can be while still building immunity that's how i see it and maybe listen to me juggle those those ideas that you know this invisible thing could produce that invisible thing and the presence of that invisible thing could mean that it was invisible for a long time when you didn't know it holy man the other healthy person but you guys are 01:07:49.428 --> 01:07:53.091 You know, like a school teacher, you have your immune system constantly on fire. 01:07:53.171 --> 01:07:55.613 So I feel like you guys would be the best ones. 01:07:56.053 --> 01:08:03.840 And all that data from healthcare workers is always showing that you guys are responding even when you don't show symptoms or whatever. 01:08:04.020 --> 01:08:05.281 Fully lost still. 01:08:05.341 --> 01:08:13.508 July 2022, still fully lost in the basic model of contagion and viruses and everything. 01:08:13.708 --> 01:08:14.529 You can hear it, right? 01:08:15.410 --> 01:08:22.237 I mean, this is when I just barely, you know, just barely am starting working for Bobby Kennedy on the book. 01:08:22.317 --> 01:08:28.284 At one point I was being paid, but I wasn't really being invited to any of these meetings right away. 01:08:28.304 --> 01:08:29.525 It was just kind of supporting me. 01:08:30.646 --> 01:08:37.828 For me now, I'm happy that Pennsylvania has their masks gone now, but there are still places that are doing it. 01:08:38.068 --> 01:08:42.390 So we're just trying to find people and network people. 01:08:45.271 --> 01:08:49.072 I think I actually started already in May though, so this would be July. 01:08:49.152 --> 01:08:51.372 So I'm definitely already working on the book with him. 01:08:51.392 --> 01:08:53.693 I was hoping that Matt could help you. 01:08:53.713 --> 01:08:55.654 I don't know, did he say he would or is he too busy? 01:08:56.960 --> 01:09:02.643 Well, he's, he's heavily into the, um, Renz. 01:09:02.743 --> 01:09:10.588 And so I'm trying to hook her up with Matt Crawford and Matt Crawford is working on Thomas Renz right now, or with Thomas Renz right now. 01:09:10.648 --> 01:09:12.369 That's actually what this video is. 01:09:12.429 --> 01:09:13.030 It's amazing. 01:09:13.850 --> 01:09:17.652 I felt like I can't really take away from that. 01:09:17.672 --> 01:09:20.654 Um, and I actually have a friend who is a statistician. 01:09:20.714 --> 01:09:21.435 He's going to help me. 01:09:21.475 --> 01:09:22.015 Well, there you go. 01:09:22.235 --> 01:09:22.375 Great. 01:09:22.395 --> 01:09:22.495 Great. 01:09:24.671 --> 01:09:48.099 I'm, uh, I'm very curious, um, to know if, if, if, if long COVID, do you, do you have any idea if long COVID will eventually, do you have a feeling that it will be linked to other similar, uh, fatigue disorders and this kind of thing, or, or will it, will there be any connection to hospitalization or not, or ventilation or not? 01:09:48.179 --> 01:09:48.859 Or, I mean, it's, 01:09:49.798 --> 01:09:56.622 or do you really think it is just a thing that happens to some people? 01:09:56.642 --> 01:09:56.782 I don't. 01:09:56.802 --> 01:10:05.688 So there's, from what I understand is that you don't have to have severe symptoms to end up with long COVID and that's consistent with what I'm seeing. 01:10:05.708 --> 01:10:06.788 Okay. 01:10:06.948 --> 01:10:10.190 It does tend to respond very well to ivermectin. 01:10:10.210 --> 01:10:10.250 Um, 01:10:11.471 --> 01:10:18.237 Yeah, not in everybody, but I do get a good response. 01:10:18.537 --> 01:10:22.800 I just don't understand how you can jive that, not with everybody. 01:10:22.860 --> 01:10:25.182 Then what's the mechanism that describes that? 01:10:25.262 --> 01:10:34.430 Because if this is viral replication and ivermectin interferes with viral replication, then why is it that sometimes it doesn't? 01:10:38.467 --> 01:10:39.448 I don't understand. 01:10:39.508 --> 01:10:45.014 And I want to understand because they say it with such certainty with no mechanistic explanation at all. 01:10:46.095 --> 01:10:46.856 I don't get it. 01:10:48.277 --> 01:10:50.640 Do doctors always accept these things like that? 01:10:50.760 --> 01:10:54.844 If it doesn't work for everybody, then what does it mean to you as a doctor? 01:10:56.306 --> 01:10:59.009 Does it mean that some people didn't have COVID? 01:11:01.800 --> 01:11:23.757 I mean, can't we at least get that far in our thinking that we're processing reality as it happens, that we assess the words that are coming out of our mouth and try to explain why that massive battleship size contradiction that I just spit out of my mouth that makes me sound like I know nothing about what I'm doing and I have no idea of what I'm doing. 01:11:24.597 --> 01:11:26.018 Let me explain that further. 01:11:26.979 --> 01:11:27.820 Holy shit. 01:11:31.532 --> 01:11:33.257 I can only poop again. 01:11:38.925 --> 01:11:47.570 I guess my big question is, is this gonna be something that lays dormant and then just flares up here and there, like, you know, like upstream? 01:11:47.650 --> 01:11:52.012 That hippie dickie, I'm sorry, but I was a biophysicist for a while. 01:11:52.353 --> 01:11:54.314 I worked on ion channels for a while. 01:11:55.014 --> 01:12:05.140 You can't just say it's calcium or it's chloride or it's sodium channels, because if you say that, then it's almost inevitably a toxin. 01:12:06.001 --> 01:12:11.223 You can't interfere with a whole family of ion channels and not be toxic. 01:12:11.283 --> 01:12:12.243 It's not possible. 01:12:13.644 --> 01:12:21.326 And any of these people who say otherwise just simply don't understand how cellular physiology, as we understand it right now, works. 01:12:21.406 --> 01:12:23.807 But ion channels are integral to that. 01:12:24.647 --> 01:12:26.388 And certainly chloride channels are. 01:12:26.828 --> 01:12:32.670 And you'd have to be very specific about what kind of chloride channel it was and whether it was a G protein coupled channel or not. 01:12:33.601 --> 01:12:47.668 whether it was a calcium-dependent channel or not, whether it was fast or slow decay channel, where are they, what cells are they expressed in, and which ones would matter and which ones don't, and are there any chloride channels in the brain that are affected, because that would be very different. 01:12:47.688 --> 01:12:58.173 You see, this is the problem with the social media, because they can put these little ideas out there that combine words together that sound really intelligent, when in fact they're ridiculous. 01:12:59.758 --> 01:13:08.705 To say that ivermectin interacts with chloride channels, therefore it cures cancer, therefore it cures COVID is so absurd. 01:13:11.887 --> 01:13:13.469 It's just, it's ridiculous. 01:13:15.510 --> 01:13:17.332 And I'm not trying to be condescending. 01:13:17.392 --> 01:13:20.974 I'm trying to be a good coach. 01:13:22.075 --> 01:13:24.237 And that is ignoring the fundamentals. 01:13:27.076 --> 01:13:35.361 That is ignoring the fundamentals of what we know and what we don't know and the ridiculously, almost irreducibly complex thing that we are. 01:13:35.842 --> 01:13:39.304 And when you say chloride channels, that's like saying athletes. 01:13:39.484 --> 01:13:41.185 And I understand athletes. 01:13:42.966 --> 01:13:50.371 And it's like, but chloride channels are a very diverse set of channels with a whole bunch of different regulatory mechanisms built in. 01:13:51.952 --> 01:13:56.195 There's fast ones and slow ones and large conductance and small conductance and 01:13:57.150 --> 01:13:58.570 this tissue and that tissue. 01:13:59.591 --> 01:14:13.553 And so we've got to learn and we've got to focus on that because allowing people to get away with saying that ivermectin works for some people means that you don't really know anything. 01:14:13.813 --> 01:14:16.454 And that's a damning statement right there. 01:14:16.594 --> 01:14:25.436 Either she's easily bamboozled and is really just following a script that someone gave her and sticking to it because so far it's paid off big time. 01:14:26.508 --> 01:14:28.229 Or she's just, she's fooled. 01:14:28.469 --> 01:14:30.150 She's fooled like everybody else was. 01:14:30.791 --> 01:14:33.913 And she's lucky enough to got on Joe Rogan just because. 01:14:35.294 --> 01:14:38.996 Or is it once it's gone, it's COVID and that's. 01:14:39.257 --> 01:14:45.761 Or I mean, it's, do you really think it is just a thing that happens to some people? 01:14:46.838 --> 01:14:56.944 I don't, so there's, from what I understand is that you don't have to have severe symptoms to end up with long COVID and that's consistent with what I'm seeing. 01:14:56.964 --> 01:14:58.065 Okay. 01:14:58.225 --> 01:15:01.407 It does tend to respond very well to ivermectin. 01:15:02.748 --> 01:15:07.310 Yeah, not in everybody, but I do get a good response. 01:15:07.490 --> 01:15:18.914 I mean, just think about that elementary high school level biology student thinking about this and how easy it would be for any one of those high school students that I saw graduate yesterday to think a little while and say, hey, wait a minute. 01:15:19.654 --> 01:15:21.814 What did we use ivermectin for before? 01:15:22.315 --> 01:15:24.435 Wasn't it for parasites or something like that? 01:15:24.876 --> 01:15:31.898 What would be the effect of sick people coming into your office, some of them with parasites, and then you gave them ivermectin and they felt a little better? 01:15:32.418 --> 01:15:52.840 and you thought you were treating COVID and they all had COVID but some of the people with COVID also has parasites and now you treated their parasites and they feel better but you didn't know and they didn't know that ivermectin worked on parasites you know like heartworm and dogs and cancer in Canada and so this is serious because that level of 01:15:54.685 --> 01:15:58.131 shallow thought suggests that she's on a script. 01:15:58.612 --> 01:16:07.829 Because nobody who was thinking about what they were saying would say that it doesn't work for everyone, works for some people, and then think that that's understanding. 01:16:13.258 --> 01:16:27.414 Um, and I guess my big question is, is this going to be something that lays dormant and then just flares up here and there, like, you know, like Epstein bar, um, or is it once it's gone, it's gone. 01:16:27.494 --> 01:16:31.979 But my, my hunch is it's going to lay dormant and then flare up here and there. 01:16:32.498 --> 01:16:33.478 I see, I see. 01:16:34.299 --> 01:16:42.943 I saw a couple of recent results that show that... Just drop the F-15 bar in there so that there's another hamster wheel and another biology book I can read, right? 01:16:43.043 --> 01:16:47.765 I mean, you know, just like Judy Mikovits might say, latent viruses that... 01:16:48.405 --> 01:16:53.867 latent mouse viruses are, you know, being triggered by other viruses that are in the vaccines. 01:16:53.907 --> 01:17:01.109 And so if we vaccinated for you, you for that virus, then they wouldn't activate the other viruses that cause autism and chronic fatigue disorder. 01:17:01.129 --> 01:17:11.753 It might be infecting CD4 positive helper T cells, in which case maybe very similar to the way that, that HIV can stay dormant. 01:17:12.973 --> 01:17:14.133 And it's possible that I, 01:17:16.715 --> 01:17:25.743 Don't know enough to go that far into the disease portion of it, but dormant viruses to me are something that Still have very little understanding in the literature, too. 01:17:25.823 --> 01:17:34.711 So it's very hard to know exactly what's going on there She won't say anything about that one any other specific things that I wanted to get that was a pretty good comment. 01:17:34.751 --> 01:17:34.771 I 01:17:37.915 --> 01:17:39.456 This has been already really good. 01:17:40.257 --> 01:17:48.464 I knew that it would be quick just because, again, my goal here is to alert people to you and to sort of spread the word about you. 01:17:48.504 --> 01:17:54.529 And at the same time, I want to build up a list of doctors who are doing this, and I think 01:17:57.202 --> 01:18:01.064 Yeah, it's got to be very frustrating to be in it. 01:18:01.124 --> 01:18:07.008 I mean, I've been complaining about it for more than two years, and I know a lot of other people have like yourself. 01:18:08.329 --> 01:18:17.294 And it's difficult now to see the country divided as much as it is about something as biological as this that we shouldn't be fighting about. 01:18:18.135 --> 01:18:18.655 Right. 01:18:20.717 --> 01:18:26.040 Well, for me, what's scary and I was going to ask for advice was how would you advise that I 01:18:26.781 --> 01:18:28.322 approach my own doctor. 01:18:30.483 --> 01:18:48.614 So I'll give you the status of my current doctor is that he supported a medical exemption for my wife by saying that we wrote a letter with a great deal of scientific support and evidence, but he disagrees with our conclusions but still wants to support our choice. 01:18:49.648 --> 01:18:57.036 So he specifically said in the exemption that he didn't support it, the actual conclusion. 01:18:57.096 --> 01:19:02.341 And that was when my wife was working at UPMC Medical Center, yes, while I was doing this. 01:19:02.401 --> 01:19:07.647 So she got a job in 2022 and was working to make this happen. 01:19:08.487 --> 01:19:10.730 So yeah, everybody's sacrificing on this boat. 01:19:11.324 --> 01:19:15.146 But he wanted to support our choice, which is pretty weak, but anyway. 01:19:15.867 --> 01:19:17.808 Okay, I'm going to wrap this up. 01:19:17.848 --> 01:19:22.510 You can watch the last bit of that on my PeerTube channel. 01:19:22.530 --> 01:19:23.551 I uploaded it there. 01:19:24.391 --> 01:19:26.572 I think this explanation fits very well. 01:19:27.073 --> 01:19:30.815 I don't think anything we heard from Mary Bowden suggests that 01:19:31.375 --> 01:19:35.956 She was anything but scripted and cued up and stick to these things and it'll be fine. 01:19:36.457 --> 01:19:39.978 There were a couple hairy moments there, a couple things that didn't feel very good to me. 01:19:39.998 --> 01:19:44.659 And I think I was pretty good at pointing that out, so I don't need to go over it again. 01:19:45.179 --> 01:20:00.584 But it stands to reason and stands clear here that one of the primary things that she believes in and in fact was ahead of, like Ryan Cole was ahead of, was being available and having the facilities to test. 01:20:01.476 --> 01:20:05.537 And that she's got a machine in her office that can test for 17 different viruses. 01:20:05.577 --> 01:20:09.418 So I think she is a witting or unwitting ghostbuster at this point. 01:20:10.079 --> 01:20:15.260 And she should be sophisticated enough to understand that actually RNA can't do that. 01:20:16.260 --> 01:20:21.022 She should be able to come to the conclusion after more study that 01:20:21.542 --> 01:20:29.632 The arrangement of the immune system and the arrangement of our barriers suggests that intramuscular injection is never a good idea. 01:20:30.733 --> 01:20:37.021 Transfecting healthy people, therefore, is an even worse idea because it belies a level of understanding of the 01:20:37.742 --> 01:20:41.304 irreducible complexity that we are, that we simply do not have. 01:20:41.344 --> 01:20:51.149 We can't just express some proteins in places in the body and assume that what's going to happen is the body's going to make antibodies to those proteins and those antibodies will save us. 01:20:51.590 --> 01:20:59.194 The population pyramid is a problem, it is a real thing, and it is one of the primary movers of the way that we are being governed on Earth right now. 01:20:59.694 --> 01:21:05.721 The pandemic would have never been possible without these people, and Andy's picture should be bigger than that, I apologize. 01:21:06.342 --> 01:21:15.994 The people that I'm pretty sure are all in on it or so lost in it, it's almost all of them, and they all will reinforce the bad biology until they 01:21:16.634 --> 01:21:21.598 until they go to their grave evolution because DNA, PCR, are a universal diagnostic tool. 01:21:21.998 --> 01:21:25.260 Sequencing is a high-fidelity measurement, especially when done by DITRA. 01:21:26.201 --> 01:21:30.624 Endemicity is a process and also an end state that lasts forever. 01:21:31.184 --> 01:21:33.106 And gain-of-function has many, many forms. 01:21:33.546 --> 01:21:41.492 Many, many forms from cell culture and enrichment to using animals to enrich viruses. 01:21:42.152 --> 01:21:45.054 And so intramuscular injection is the best kind of medicine. 01:21:45.094 --> 01:21:46.095 It's the best invention. 01:21:46.836 --> 01:21:49.598 Pandemics are real, and we can also make them in a garage. 01:21:50.018 --> 01:21:56.983 You are human, not a person with only a limited amount of time to contribute to the well-being of future generations. 01:21:57.003 --> 01:22:01.227 You're just a human, and you should turn over your data to your rulers. 01:22:01.307 --> 01:22:03.128 And we all descend from the same puddle. 01:22:03.168 --> 01:22:04.329 That's basically the joke. 01:22:05.150 --> 01:22:07.211 It's been a long, strange trip, ladies and gentlemen. 01:22:07.271 --> 01:22:09.153 I hope you have a very, very happy Friday. 01:22:10.554 --> 01:22:12.775 I guess I should play us out. 01:22:13.756 --> 01:22:14.216 I don't know. 01:22:14.777 --> 01:22:16.037 I want to do a different song. 01:22:16.698 --> 01:22:18.339 Don't forget, that's how they're getting away with it. 01:22:18.379 --> 01:22:20.100 COVID shots are bad is great to say. 01:22:20.140 --> 01:22:22.082 Just don't talk about the murder in 2020. 01:22:22.562 --> 01:22:23.463 It's for all the marbles. 01:22:23.543 --> 01:22:26.185 That's why there's a fake anti-vax movement in America. 01:22:26.725 --> 01:22:28.446 Thank you very much for all your support. 01:22:28.566 --> 01:22:30.108 If you would like to support this stream, 01:22:30.988 --> 01:22:34.032 Please go to GigaOMBiological.com and find a way to do so. 01:22:34.592 --> 01:22:38.396 I'm going to keep working, and I'm going to do whatever it takes to keep this on the air. 01:22:38.436 --> 01:22:45.764 But boy would I like to make more videos, and boy would I like to make more channels, and boy would I like to make a high school curriculum. 01:22:45.824 --> 01:22:49.268 So help me out there a little bit if you can, especially if you've never done it before. 01:22:49.308 --> 01:22:50.489 There's so many people who've 01:22:52.034 --> 01:22:54.016 have just made this, I mean, it's crazy. 01:22:54.056 --> 01:23:09.711 There's, you know, it's really crazy how many people I have to thank and how blessed I feel to have those friends around the world supporting my family and supporting this very, very crucial work to preserve what I think is human history. 01:23:09.811 --> 01:23:13.755 What I think is the last, potentially the last 01:23:14.893 --> 01:23:22.917 open window that we can just pull our kids out and end this social media domination of our collective reality. 01:23:23.417 --> 01:23:24.338 I love you all very much. 01:23:24.758 --> 01:23:25.318 Good to see you. 01:23:25.599 --> 01:23:28.460 And I think I will just play this one out actually. 01:23:29.000 --> 01:23:29.380 Thank you. 01:23:29.761 --> 01:23:30.101 Thank you. 01:23:30.141 --> 01:23:30.901 Have a good weekend. 01:23:31.201 --> 01:23:33.703 There could be a stream tomorrow night by the fire. 01:23:34.423 --> 01:23:46.310 There is rumors that I'm having a guest, and that guest might be up for hanging out by a fire with a microphone and talking, and that might mean that we'll also call another friend and have a three-way conversation. 01:23:46.350 --> 01:23:46.750 We'll see. 01:23:46.770 --> 01:23:51.233 I apologize for the awkward ending, and I will see you again very, very soon.