1 00:00:35,040 --> 00:00:39,360 None. Listen, I've got to tell you, 2 00:00:39,760 --> 00:00:42,600 you're one of my favorite guests and I've said this to a few 3 00:00:42,600 --> 00:00:46,720 guests. So but I do mean it because I 4 00:00:46,720 --> 00:00:49,440 think I came across you and your work. 5 00:00:49,440 --> 00:00:51,960 Oh, I don't know, it must have been around 2021. 6 00:00:51,960 --> 00:00:56,840 I invited you onto my podcast. I can't watch that anymore. 7 00:00:56,840 --> 00:01:01,320 It makes me cringe. The way I, I spoke to you was 8 00:01:01,400 --> 00:01:03,920 completely unprofessional. And and and the reason is 9 00:01:03,920 --> 00:01:08,320 because this was a paradigm shift that I wasn't ready for 10 00:01:08,320 --> 00:01:10,600 yet. Well, you're quite welcome. 11 00:01:10,600 --> 00:01:14,240 And I, I also extend my gratitude to you because you 12 00:01:14,240 --> 00:01:19,080 know, you were willing to entertain quite revolutionary 13 00:01:19,080 --> 00:01:22,800 ideas about, about health and medicine and, and you brought me 14 00:01:22,800 --> 00:01:25,720 onto a platform to help, you know, other people hear the 15 00:01:25,720 --> 00:01:30,080 message and you know, the, the facts speak for themselves. 16 00:01:30,080 --> 00:01:35,680 So once you can put the emotions aside and actually apply logic 17 00:01:35,680 --> 00:01:39,640 and reason to the matter, you know you'll you'll come around. 18 00:01:40,920 --> 00:01:43,880 Let's start at the start here. So this is your first time on my 19 00:01:43,880 --> 00:01:46,720 UK column show. So we're talking effectively 20 00:01:46,720 --> 00:01:52,240 about germ theory versus terrain theory, basically why germs 21 00:01:52,440 --> 00:01:57,520 don't cause sickness. Why is this important? 22 00:01:58,960 --> 00:02:03,960 Well, I mean, you know, the whole modern healthcare system 23 00:02:04,600 --> 00:02:10,520 is based around germs being the cause of a lot of things, right? 24 00:02:10,720 --> 00:02:15,920 Obviously, aside from COVID, we already had, you know, HIV and 25 00:02:15,920 --> 00:02:20,280 AIDS, bacterial pneumonia and other infections, you know, 26 00:02:20,320 --> 00:02:26,520 flesh eating bacteria, sexually transmitted diseases, it even 27 00:02:26,640 --> 00:02:30,280 unexplained illnesses. They suspect, right, that there 28 00:02:30,280 --> 00:02:34,720 are viruses involved with certain cancers, even diabetes. 29 00:02:35,160 --> 00:02:40,080 So it's pervasive and there are many, you know, what I would 30 00:02:40,080 --> 00:02:44,760 consider false remedies or more bluntly, poisons that are used 31 00:02:44,760 --> 00:02:47,880 routinely like antibiotics and antivirals. 32 00:02:48,360 --> 00:02:52,800 Right. Based on a false premise. 33 00:02:53,160 --> 00:02:55,160 Yeah. Well, there, there was a, you 34 00:02:55,160 --> 00:02:58,560 know, vigorous debate around this idea and the, the medical 35 00:02:58,560 --> 00:03:03,000 community, you know, largely in the 19th century was very much 36 00:03:03,000 --> 00:03:07,000 against this as, as the nature of reality. 37 00:03:07,320 --> 00:03:12,760 And it was really, you know, Robert Koch's work, that and 38 00:03:12,760 --> 00:03:16,040 Pasteur's work that pushed it to the forefront and, you know, 39 00:03:16,480 --> 00:03:22,440 coincided with the, you know, Rockefeller medicine Flexner 40 00:03:22,440 --> 00:03:27,520 report as well. Yeah, you mentioned Robert Koch 41 00:03:27,520 --> 00:03:31,280 now, I mean, he created those postulates on which the. 42 00:03:31,440 --> 00:03:32,920 Sort of. He wrote them down. 43 00:03:32,920 --> 00:03:35,680 He didn't actually create them. There's. 44 00:03:36,080 --> 00:03:38,960 OK, right. Talked about that before, but 45 00:03:38,960 --> 00:03:41,280 you know that's how history works, right? 46 00:03:41,280 --> 00:03:45,720 Some people get credit and even if they didn't do the work, but 47 00:03:45,720 --> 00:03:51,040 it, it's basically if, if any layperson were to think about it 48 00:03:51,040 --> 00:03:53,720 and ponder it for a while, you know, how do you prove that a 49 00:03:53,720 --> 00:03:57,520 germ causes a disease? It's pretty self-evident. 50 00:03:57,800 --> 00:04:01,240 I mean, first of all, you'd have to find the germ in the person 51 00:04:01,240 --> 00:04:04,880 who is sick, right? And you a corollary to that is 52 00:04:04,880 --> 00:04:08,160 you should not find it in someone who's healthy, right? 53 00:04:08,160 --> 00:04:11,440 Because if, if that germ causes the disease, if it's present, 54 00:04:11,440 --> 00:04:16,320 there should be the disease. And then you should be able to 55 00:04:16,320 --> 00:04:20,440 find that germ in the sick person, right, That you think 56 00:04:20,519 --> 00:04:24,960 has the disease that the germ causes and take it out of the 57 00:04:24,960 --> 00:04:28,320 person. And then once you take it out, 58 00:04:28,640 --> 00:04:33,360 then you can give it to another Organism that who's healthy, 59 00:04:33,920 --> 00:04:35,520 right? This could be an animal or a 60 00:04:35,520 --> 00:04:39,760 human and then show that they manifest the same disease. 61 00:04:41,360 --> 00:04:44,520 So, you know, very simple. I think anyone in the audience, 62 00:04:44,520 --> 00:04:47,280 if you just thought about a little, you would come up with 63 00:04:47,720 --> 00:04:51,840 those ideas as a way to test this hypothesis that a germ 64 00:04:51,840 --> 00:04:56,280 causes a disease. And they teach this still, you 65 00:04:56,280 --> 00:04:59,200 know, to medical students and other health professions. 66 00:04:59,640 --> 00:05:04,320 But what they don't do in school is they don't show you the 67 00:05:04,320 --> 00:05:09,680 actual experiments for each germ because, and there's a specific 68 00:05:09,680 --> 00:05:13,160 reason for that is because those experiments don't actually 69 00:05:13,160 --> 00:05:18,440 satisfy the postulates. One that in the the Organism 70 00:05:18,440 --> 00:05:22,680 with the disease, you find the germ that causes it, then you 71 00:05:22,680 --> 00:05:26,600 can you can take that germ out. Now, you know, officially it 72 00:05:26,600 --> 00:05:30,400 says grow it in a pure culture, but you just have to have it by 73 00:05:30,400 --> 00:05:33,960 itself really. Then you can take that germ, put 74 00:05:33,960 --> 00:05:38,080 it in a healthy Organism and it should be of course by a natural 75 00:05:38,080 --> 00:05:43,960 root of how you think this spreads in nature and then show 76 00:05:43,960 --> 00:05:46,400 that that Organism gets the same disease. 77 00:05:47,360 --> 00:05:53,200 So like Robert Koch did research on tuberculosis, OK, now we're 78 00:05:53,200 --> 00:05:57,400 we're told that tuberculosis is caused by a bacteria, right? 79 00:05:57,400 --> 00:06:00,800 It's called Mycobacterium tubercula tuberculae or 80 00:06:00,800 --> 00:06:05,000 something like that. And Robert Koch was trying to 81 00:06:05,000 --> 00:06:09,280 apply his own postulates to tuberculosis and he he failed 82 00:06:09,400 --> 00:06:13,800 miserably, but was given credit as if he didn't fail for some 83 00:06:13,800 --> 00:06:17,760 reason. And so he couldn't actually find 84 00:06:17,920 --> 00:06:21,680 the the Mycobacterium in people with tuberculosis. 85 00:06:22,120 --> 00:06:25,080 And he also found it in people without tuberculosis. 86 00:06:26,880 --> 00:06:30,160 So right on the first, you know on its face it failed. 87 00:06:31,240 --> 00:06:37,280 I used AI and asked her to search the Internet for any 88 00:06:37,840 --> 00:06:45,840 clinical trial that successfully shows transmission of a pathogen 89 00:06:45,840 --> 00:06:50,640 between humans and it comes up with the results saying it 90 00:06:50,640 --> 00:06:58,960 cannot find anything like that. Well, you know, so I, I don't 91 00:06:58,960 --> 00:07:02,600 trust AI, so I wouldn't rely only on those results. 92 00:07:02,600 --> 00:07:06,440 But in this case that matches with my own research. 93 00:07:07,080 --> 00:07:11,240 And I'm sure you've had or or planning to have Daniel Roydas 94 00:07:11,240 --> 00:07:14,000 as a guest who wrote. I have spoken to him. 95 00:07:14,520 --> 00:07:18,560 Can you catch a cold where he he reviewed, you know, over 100 96 00:07:18,720 --> 00:07:22,320 studies trying to show that colds are contagious. 97 00:07:23,080 --> 00:07:26,560 They even, you know, had a facility in the Uki forget what 98 00:07:26,560 --> 00:07:30,120 it's called, but it it was advertised like, you know, come 99 00:07:30,120 --> 00:07:34,680 here, volunteer to be an experimental subject and have 100 00:07:34,680 --> 00:07:38,520 like a vacation, Like it was on a very pastoral piece of land 101 00:07:38,520 --> 00:07:40,840 and such. And they put people in cabins 102 00:07:40,840 --> 00:07:43,920 together, you know, where somebody had a cold and there 103 00:07:43,920 --> 00:07:46,960 were two or three people that spent a couple of days in the 104 00:07:46,960 --> 00:07:50,400 cabin with them to see if they got colds as well, those kinds 105 00:07:50,400 --> 00:07:53,440 of experiments. And they were never able to 106 00:07:54,720 --> 00:07:58,240 really prove or gather any sufficient evidence about 107 00:07:58,240 --> 00:08:00,280 contagion of colds and flu whatsoever. 108 00:08:01,360 --> 00:08:05,280 But the counter response, Andy, is that well, the immune systems 109 00:08:05,280 --> 00:08:09,760 were strong, they were healthy. Well, I mean, you could say 110 00:08:09,760 --> 00:08:14,080 that, but then you would have to do experiments to show that that 111 00:08:14,080 --> 00:08:17,880 was the case right now. These were largely all these 112 00:08:17,880 --> 00:08:21,800 studies were done with healthy people, healthy volunteers who, 113 00:08:21,840 --> 00:08:25,160 you know, didn't have immunosuppressive drugs, didn't 114 00:08:25,160 --> 00:08:29,240 have immune deficiency syndromes or anything like that. 115 00:08:29,240 --> 00:08:33,760 So you know what, what happens here is that there's a a false 116 00:08:33,760 --> 00:08:38,640 reasoning in what you just said because you, the way science 117 00:08:38,640 --> 00:08:42,120 works is you come up with a hypothesis, right, that oh OK, 118 00:08:42,120 --> 00:08:45,840 that colds are contagious. They pass from one person to 119 00:08:45,840 --> 00:08:49,600 another through bodily secretions, right? 120 00:08:49,600 --> 00:08:52,760 And that's what we're told happens today. 121 00:08:53,240 --> 00:08:57,160 So then you, you expose, you design an experiment, right, 122 00:08:57,160 --> 00:09:01,880 where you expose healthy people to the secretions of the sick 123 00:09:01,880 --> 00:09:06,160 people. And you see if, if they get the 124 00:09:06,160 --> 00:09:12,360 same illness, now the hypothesis would say that all the people 125 00:09:12,360 --> 00:09:15,640 exposed would get the illness. But then you do the experiment 126 00:09:15,640 --> 00:09:19,720 and that's not what happens. So what you should do then is 127 00:09:19,720 --> 00:09:24,560 revise your hypothesis and then design a new experiment to test 128 00:09:24,560 --> 00:09:26,960 that. But that's not what happened. 129 00:09:26,960 --> 00:09:31,240 What happened is, is that they they don't get the results that 130 00:09:31,560 --> 00:09:35,760 would support their hypothesis. So after the fact, they just 131 00:09:35,760 --> 00:09:39,080 changed their hypothesis. So the results support it, but 132 00:09:39,160 --> 00:09:41,480 only with a, a mild modification, right? 133 00:09:41,480 --> 00:09:44,760 So they say, well, this proves that it's contagious and the 134 00:09:44,760 --> 00:09:48,760 people who didn't get sick, that they had a faulty immune system, 135 00:09:48,760 --> 00:09:51,400 but we didn't measure their immune system. 136 00:09:51,680 --> 00:09:54,280 There's no way to measure it. We, we don't actually have an 137 00:09:54,280 --> 00:09:58,480 experiment where we test that, but it helps us keep our 138 00:09:58,560 --> 00:10:03,520 hypothesis going. It a true scientist, you know, 139 00:10:03,520 --> 00:10:07,720 who would look at those results empirically would say what if 140 00:10:07,720 --> 00:10:13,360 there's another some other reason these folks are sick or 141 00:10:14,040 --> 00:10:17,880 and let's test that, you know, and that's what what wasn't 142 00:10:17,880 --> 00:10:20,240 done. Unfortunately, no matter what 143 00:10:20,240 --> 00:10:24,120 the results are, they still kept their hypothesis exactly the 144 00:10:24,120 --> 00:10:27,960 same and just tried to explain it away with that sort of post 145 00:10:27,960 --> 00:10:33,760 hoc analysis. I mean a common response Andy is 146 00:10:33,760 --> 00:10:36,800 that they say, well, we have other ways of testing these 147 00:10:36,800 --> 00:10:38,000 things. We don't need to use a 148 00:10:38,000 --> 00:10:43,240 double-blind trial. You know, modelling is 149 00:10:43,240 --> 00:10:45,040 definitely something I talk a lot about. 150 00:10:45,040 --> 00:10:49,760 And I think there's modelling in terms of in vitro experiments 151 00:10:49,760 --> 00:10:54,000 where you take things out of the Organism and mess around with 152 00:10:54,000 --> 00:10:56,600 them in the laboratory in unnatural or artificial 153 00:10:56,600 --> 00:10:59,320 conditions. And then there's also computer 154 00:10:59,480 --> 00:11:04,920 simulations like we see with, for example, the metagenomic 155 00:11:04,920 --> 00:11:09,280 sequencing, right, which is how they come up with essentially 156 00:11:09,280 --> 00:11:13,600 manufactured genome sequences for viruses. 157 00:11:14,840 --> 00:11:20,160 And when I was an undergraduate, I had a summer job initially at 158 00:11:20,160 --> 00:11:24,400 a biotech company and it became like a part time job throughout 159 00:11:24,400 --> 00:11:27,080 the year. And I was introduced to what 160 00:11:27,080 --> 00:11:31,960 they call molecular modelling. And this is where you use a 161 00:11:31,960 --> 00:11:37,600 pretty sophisticated computer workstation and it has this very 162 00:11:37,600 --> 00:11:42,320 powerful software where you can input the X-ray crystal 163 00:11:42,320 --> 00:11:45,160 structure of like an enzyme, like a protein. 164 00:11:45,880 --> 00:11:49,760 And that would be a target for a drug, for example, or something 165 00:11:49,760 --> 00:11:51,720 that you just wanted to study biologically. 166 00:11:52,320 --> 00:11:57,200 And you can do all these simulations or modeling of 167 00:11:57,200 --> 00:11:59,960 different interactions with other molecules. 168 00:11:59,960 --> 00:12:04,400 So you can sort of, for example, have a candidate drug molecule 169 00:12:04,880 --> 00:12:09,800 and you can upload that molecule and the target like I when I was 170 00:12:09,800 --> 00:12:12,640 there, they were working on thrombin inhibitors. 171 00:12:12,640 --> 00:12:15,360 Thrombin is a enzyme in the clotting system. 172 00:12:15,360 --> 00:12:18,160 So they're trying to develop a blood thinning drug. 173 00:12:18,600 --> 00:12:20,560 They actually have one on the market now. 174 00:12:20,880 --> 00:12:23,760 So they did, they were, you know, successful. 175 00:12:24,920 --> 00:12:29,320 And so we would look at, I would input different versions of the 176 00:12:29,360 --> 00:12:34,000 candidate drug molecules and model the interactions with the 177 00:12:34,000 --> 00:12:38,080 thrombin protein. And when we applied this to 178 00:12:38,080 --> 00:12:41,480 experimental research in a laboratory, we saw that it, it 179 00:12:41,480 --> 00:12:47,440 didn't not predict the results. And also I, they sent me on a 180 00:12:47,440 --> 00:12:50,480 training course, like for a few days to learn how to use the 181 00:12:50,480 --> 00:12:53,040 software because it was not easy to use. 182 00:12:53,040 --> 00:12:55,600 In fact, no one in the company knew how to use it. 183 00:12:55,600 --> 00:12:58,360 They weren't, they were only using it to make pictures. 184 00:12:58,680 --> 00:13:01,560 They weren't actually using it for its intended purpose. 185 00:13:01,560 --> 00:13:07,200 So when I went on that course, I learned that there were like 186 00:13:07,200 --> 00:13:14,280 dozens of number values that you you had to just set because they 187 00:13:14,280 --> 00:13:17,640 weren't these were things that couldn't be measured, they 188 00:13:17,640 --> 00:13:21,040 couldn't be known or they were unknown and you would basically 189 00:13:21,040 --> 00:13:23,040 set them where you thought they should be. 190 00:13:23,400 --> 00:13:27,280 And when I started tweaking around with those settings, 191 00:13:27,280 --> 00:13:30,880 those inputs, it vastly changed the results. 192 00:13:32,120 --> 00:13:36,120 And this is, this is the problem is that a computer model, a 193 00:13:36,120 --> 00:13:42,480 statistical model, A in vitro laboratory model, all these 194 00:13:42,480 --> 00:13:47,240 things can be highly manipulated and even kind of subconsciously 195 00:13:47,240 --> 00:13:51,040 because you know, as the scientist, you expect certain 196 00:13:51,040 --> 00:13:55,560 results, you believe that your hypotheses are correct and 197 00:13:55,560 --> 00:13:59,320 that's a bias. And so if you're using a model, 198 00:13:59,320 --> 00:14:03,240 you're going to tweak that model to support your bias. 199 00:14:03,640 --> 00:14:08,560 And it's not measuring reality. Like if we look at the climate 200 00:14:08,560 --> 00:14:13,040 change models like that are published in the IPCC reports 201 00:14:13,040 --> 00:14:17,720 and such, if you look back what they predicted based on those 202 00:14:17,720 --> 00:14:21,400 models in the past and then look at what the actual weather 203 00:14:21,400 --> 00:14:24,240 patterns were, you'll see they didn't predict anything 204 00:14:24,240 --> 00:14:29,000 accurately whatsoever. But now we have global cooling, 205 00:14:29,040 --> 00:14:33,640 Andy. It's well, you know, before the 206 00:14:33,840 --> 00:14:39,640 that environmental conference in Brazil where they first talked 207 00:14:39,640 --> 00:14:44,640 about global warming, before that there was a even I think a 208 00:14:44,640 --> 00:14:48,440 documentary on public television in the US that was narrated by 209 00:14:48,440 --> 00:14:54,640 Leonard Nimoy talking about that the the Earth is headed for Ice 210 00:14:54,640 --> 00:14:56,520 Age, Doctor Spock. Exactly. 211 00:14:57,000 --> 00:14:59,720 So saying that we were headed for another Ice Age. 212 00:14:59,720 --> 00:15:04,240 So and then all of a sudden it flipped after this conference in 213 00:15:04,240 --> 00:15:05,640 Brazil. And then, you know, it's changed 214 00:15:05,640 --> 00:15:08,840 since then because it was global warming and now it's climate 215 00:15:08,840 --> 00:15:12,720 change, right? Because, well, the Earth wasn't 216 00:15:12,720 --> 00:15:14,960 getting warmer, so they couldn't say that anymore. 217 00:15:14,960 --> 00:15:16,320 They had to say something different. 218 00:15:16,880 --> 00:15:19,960 We have bacteria that we can see under a microscope and we can 219 00:15:19,960 --> 00:15:22,000 play with it and it's living and all that sort of thing. 220 00:15:22,000 --> 00:15:26,360 A virus is an entirely different concept, and the definition has 221 00:15:26,360 --> 00:15:31,520 changed over the years anyway. Well, you know, the original 222 00:15:31,920 --> 00:15:35,520 term virus really referred to like poison, like things like 223 00:15:35,520 --> 00:15:40,240 snake venom and such. So it definitely, you know, if 224 00:15:40,240 --> 00:15:44,480 you start reading dictionaries from the past, you'll see that 225 00:15:44,480 --> 00:15:46,440 the meaning of many words have changed, right? 226 00:15:46,440 --> 00:15:50,000 We saw, we saw that that happen in real time during COVID, 227 00:15:50,000 --> 00:15:52,720 right, where they changed the definition of vaccine to 228 00:15:52,880 --> 00:15:57,680 include, you know, RNA and DNA based technologies. 229 00:15:58,320 --> 00:16:02,720 So the modern definition of virus, I think, you know, we 230 00:16:02,720 --> 00:16:07,080 should take it from modern biology and you know, which 231 00:16:07,440 --> 00:16:12,560 essentially defines it as a obligate intracellular parasite, 232 00:16:12,560 --> 00:16:14,880 right? Meaning that it has to invade to 233 00:16:14,920 --> 00:16:21,520 a cell in order to reproduce and that it's, you know, can can 234 00:16:21,520 --> 00:16:24,960 replicate under those conditions. 235 00:16:24,960 --> 00:16:29,560 And of course 'cause then damage to the host Organism as a 236 00:16:29,560 --> 00:16:32,360 result. But that's never been observed. 237 00:16:33,040 --> 00:16:37,440 No, absolutely not. And how it couldn't really be 238 00:16:37,440 --> 00:16:44,320 observed in with current technology, I mean, unless you 239 00:16:44,320 --> 00:16:48,200 rebuilt Rife's microscope. If you look at the research, I 240 00:16:48,240 --> 00:16:52,080 mean, like you said with bacteria, if, if you pretty much 241 00:16:52,080 --> 00:16:55,560 swab anything around you, including yourself, right, and 242 00:16:55,560 --> 00:16:59,640 then look under a microscope, a regular light microscope, you 243 00:16:59,640 --> 00:17:03,760 know where you can look at, at living cells, you'll see 244 00:17:03,760 --> 00:17:07,680 bacterial cells, right, of probably a variety of different 245 00:17:07,680 --> 00:17:10,480 kinds. So we know they're there. 246 00:17:10,760 --> 00:17:15,400 We know they can be, you know, separated out or you know, from 247 00:17:15,520 --> 00:17:20,280 things, right? No problem with viruses. 248 00:17:20,280 --> 00:17:26,200 They're said to be so small, right on around the size of 100 249 00:17:26,200 --> 00:17:29,800 nanometers, right? And a nanometer is a billionth 250 00:17:29,800 --> 00:17:35,840 or 10 to the minus ninth meters. So they can't be observed in a 251 00:17:35,840 --> 00:17:39,680 light microscope. You know, particles that size 252 00:17:39,680 --> 00:17:42,480 can be seen only on an electron microscope. 253 00:17:42,480 --> 00:17:47,480 And you, you have to, you know, destroy whatever you're looking 254 00:17:47,480 --> 00:17:50,080 at to see it under an electron microscope essentially. 255 00:17:50,760 --> 00:17:56,600 So it, it, you can't observe the behavior of things on that 256 00:17:56,760 --> 00:17:59,080 scale. But if you look at the 257 00:18:00,600 --> 00:18:06,960 experiments that which are done to discover a virus in nature, 258 00:18:06,960 --> 00:18:08,160 right? That and these are always 259 00:18:08,160 --> 00:18:10,880 related to they think it causes a disease. 260 00:18:11,920 --> 00:18:14,680 They they never actually find the virus. 261 00:18:14,680 --> 00:18:16,240 They don't even really look for it. 262 00:18:16,280 --> 00:18:18,560 They just assume it's there from the beginning. 263 00:18:18,560 --> 00:18:22,960 So they take like they have a sick animal or a sick human, 264 00:18:23,320 --> 00:18:29,000 They take somebody tissue or fluid, they assume there's a 265 00:18:29,000 --> 00:18:32,440 virus in there, but they don't actually find the virus in there 266 00:18:32,640 --> 00:18:35,720 and they don't even look like they don't take that and look 267 00:18:35,720 --> 00:18:39,120 under the microscope. They don't take that and 268 00:18:39,120 --> 00:18:41,560 separate out everything but a virus. 269 00:18:42,120 --> 00:18:45,120 They just have the assumption there's a virus in there. 270 00:18:45,120 --> 00:18:50,040 And then they do experiments and the the results that they get 271 00:18:50,280 --> 00:18:53,480 just basically form circular reasoning because we assume 272 00:18:53,480 --> 00:18:57,800 there's a virus. We assume a virus will result in 273 00:18:57,800 --> 00:19:00,560 what they call Cpes in a cell culture. 274 00:19:00,560 --> 00:19:03,720 It's like a damp inflammation in a cell culture, essentially. 275 00:19:04,160 --> 00:19:06,760 And then they say Cpes mean there's a virus. 276 00:19:06,760 --> 00:19:09,880 So that makes a complete circle in their logic. 277 00:19:10,360 --> 00:19:14,560 But they never show there's a virus at any stage of the 278 00:19:14,560 --> 00:19:17,640 experiment. They never make any attempt to 279 00:19:17,680 --> 00:19:22,400 separate out the virus in order to test it independently. 280 00:19:22,800 --> 00:19:27,520 They had tried that in the past and were unsuccessful, but they 281 00:19:27,520 --> 00:19:33,080 have the ability to do that with other particles that are, that 282 00:19:33,080 --> 00:19:38,320 are the same size scale. So, you know, like for example, 283 00:19:38,320 --> 00:19:41,680 there's a paper that I, you know, it's, it's part of one of 284 00:19:41,680 --> 00:19:45,640 my presentations and it just illustrates this point so well, 285 00:19:45,640 --> 00:19:53,080 because what the paper is, is it's a study about HIV exosomes. 286 00:19:53,440 --> 00:19:58,560 So this is, you know, exosomes are basically also particles 287 00:19:59,160 --> 00:20:03,400 that are about the same size as viruses, But but that they say 288 00:20:03,400 --> 00:20:08,360 that these are generated by our own cells, OK, That they're that 289 00:20:08,360 --> 00:20:11,040 they have some biological function and there's a whole 290 00:20:11,040 --> 00:20:15,080 field of research looking at exosomes. 291 00:20:15,440 --> 00:20:18,640 Now, so they say that when you have a disease, your body makes 292 00:20:18,640 --> 00:20:21,800 exosomes, a certain type of exosome in response to the 293 00:20:21,800 --> 00:20:23,680 disease. So they're looking at people 294 00:20:23,960 --> 00:20:26,760 who, you know, have an antibody test for HIV. 295 00:20:27,560 --> 00:20:30,160 And so they say they're, you know, essentially like AIDS 296 00:20:30,160 --> 00:20:33,560 patients or HIV patients. And so they want to look at 297 00:20:33,560 --> 00:20:38,200 their exosomes. And all they do is take a sample 298 00:20:38,200 --> 00:20:45,080 of their blood. And then they, excuse me, use 299 00:20:45,080 --> 00:20:50,840 some physical methods to separate out the exosomes. 300 00:20:52,680 --> 00:20:57,520 And then they they're able to have the exosomes in a separate 301 00:20:57,520 --> 00:20:59,320 container. They look at them under the 302 00:20:59,320 --> 00:21:02,680 microscope and you only see particles that are identical. 303 00:21:02,680 --> 00:21:05,160 You don't see anything else in there because they've separated 304 00:21:05,160 --> 00:21:08,800 it. And then they can do experiments 305 00:21:08,800 --> 00:21:11,000 on it. And they do in this, they do an 306 00:21:11,000 --> 00:21:13,480 enzyme assay for acetylcholinesterase. 307 00:21:14,000 --> 00:21:18,880 They do a protein electrophoresis to characterize 308 00:21:18,880 --> 00:21:22,640 the proteins in the particles, right? 309 00:21:22,640 --> 00:21:26,360 And they, they can even sequence the genome because they can get 310 00:21:26,360 --> 00:21:28,720 genetic material directly from those particles. 311 00:21:29,600 --> 00:21:35,920 Now, in the same experiment, that patient also allegedly has 312 00:21:35,920 --> 00:21:42,120 HIV viral particles. Why didn't they also separate 313 00:21:42,120 --> 00:21:46,120 those and run tests on them? They didn't, they didn't even 314 00:21:46,120 --> 00:21:49,080 attempt it, right? And it's because they know they, 315 00:21:49,160 --> 00:21:50,760 they wouldn't be able to find it. 316 00:21:52,080 --> 00:21:57,160 So that's the big thing that they they can do the actual 317 00:21:57,160 --> 00:22:02,080 proper experiments to find viruses and study them, but they 318 00:22:02,080 --> 00:22:06,240 don't do it because somewhere back in time they figured out 319 00:22:06,240 --> 00:22:11,320 that there are no viruses, but it was very profitable and there 320 00:22:11,320 --> 00:22:14,680 were maybe other motivations to keep it going, you know, maybe 321 00:22:14,680 --> 00:22:18,400 to sell vaccines because that has become now the most 322 00:22:18,400 --> 00:22:21,800 lucrative type of pharmaceutical since COVID. 323 00:22:23,080 --> 00:22:27,680 But nonetheless, no modern virologists, no modern doctors 324 00:22:27,680 --> 00:22:30,320 ever look back at those experiments to see. 325 00:22:30,560 --> 00:22:33,800 They never look at the current experiments to see, right? 326 00:22:33,800 --> 00:22:37,720 They're just told in their education that this virus causes 327 00:22:37,720 --> 00:22:41,760 this disease. Let's say you are out in the 328 00:22:41,760 --> 00:22:46,680 wild and you see a carcass and it's surrounded by hyenas. 329 00:22:47,640 --> 00:22:51,760 The hyenas are cleaning it up. Now can you assume that the 330 00:22:51,760 --> 00:22:56,520 hyenas killed that animal? No, most likely not. 331 00:22:56,680 --> 00:23:01,040 They came after the fact. And that sort of is, is the way 332 00:23:01,040 --> 00:23:05,280 I've kind of observed or or thought about viral load, right? 333 00:23:06,600 --> 00:23:12,240 Well, I mean, if viral load actually measured, you know, 334 00:23:12,800 --> 00:23:16,680 viruses, then yes, you could think that about it. 335 00:23:16,920 --> 00:23:20,320 So that that analogy I think is more appropriate for bacteria 336 00:23:20,320 --> 00:23:24,320 because bacteria are really there and you will in many 337 00:23:24,320 --> 00:23:27,960 disease states find a lot of bacteria in the diseased tissue, 338 00:23:27,960 --> 00:23:30,480 right? And it, and it's because it is 339 00:23:30,480 --> 00:23:35,440 coming thereafter to scavenge and clean it up, you know, just 340 00:23:35,440 --> 00:23:40,960 like the hyenas in your example. But viral load, despite its 341 00:23:40,960 --> 00:23:44,800 name, actually doesn't measure viruses at all. 342 00:23:46,360 --> 00:23:49,800 It is a, it doesn't really measure anything. 343 00:23:49,800 --> 00:23:53,760 Actually, it's a manufacturing technique. 344 00:23:53,760 --> 00:23:57,880 So that that's the PCR test, PCR process. 345 00:23:57,880 --> 00:24:01,000 It's not, it shouldn't be called a test because that's not what 346 00:24:01,000 --> 00:24:04,800 it is. What it does is it whatever is 347 00:24:04,800 --> 00:24:08,360 in your sample, it reproduces it. 348 00:24:08,360 --> 00:24:13,920 So it, it's like a manufacturing facility that has like a 349 00:24:13,920 --> 00:24:15,960 replicator, right? Like kind of Star Trek 350 00:24:15,960 --> 00:24:20,120 technology, you put in something and then it makes copies of it. 351 00:24:21,440 --> 00:24:25,840 The but what is the thing it's making copies of? 352 00:24:26,120 --> 00:24:29,800 Like that's the question. Because it's only a short 353 00:24:30,040 --> 00:24:36,440 strand, right, of genetic material, a tiny, tiny, tiny 354 00:24:36,440 --> 00:24:41,320 percentage of the whole of an organism's genetic material. 355 00:24:42,360 --> 00:24:46,480 And these small short sequences are non specific. 356 00:24:46,480 --> 00:24:50,560 Like if you and they're, they're called primers, by the way, 357 00:24:50,640 --> 00:24:54,680 that's the in, in the PCR process, it's called the primer, 358 00:24:54,680 --> 00:24:59,360 the thing that you're making copies of and or you're, you 359 00:24:59,360 --> 00:25:01,400 know, you're finding if it's there, you're going to make 360 00:25:01,400 --> 00:25:06,040 copies of it. And if you take the sequence of 361 00:25:06,320 --> 00:25:11,360 a primer, like look at a particular PCR protocol and find 362 00:25:11,360 --> 00:25:16,120 the primer sequence and then take that sequence and put it in 363 00:25:16,320 --> 00:25:22,400 a genetic database to see if it matches any known organisms, 364 00:25:22,960 --> 00:25:27,280 you'll find that or a bunch of organisms come up for all these 365 00:25:27,280 --> 00:25:33,680 sequences so that those short strands are not specific, right? 366 00:25:33,680 --> 00:25:42,480 And for anyone Organism at all. And that is obviously a problem 367 00:25:42,480 --> 00:25:45,760 because if any of the other organisms are there, well, then 368 00:25:45,760 --> 00:25:50,040 you have a false, you know, your result tells you something 369 00:25:50,040 --> 00:25:52,880 different than you think it tells you because it doesn't 370 00:25:52,880 --> 00:25:55,440 tell you anything about a possible virus. 371 00:25:55,440 --> 00:25:58,240 It tells you, oh, there's genetic material that may be 372 00:25:58,240 --> 00:26:02,440 from a variety of organisms present in your sample. 373 00:26:02,760 --> 00:26:09,000 And the other problem with PCR is that it, it works by 374 00:26:09,240 --> 00:26:12,640 doubling, right? So it, it has like manufacturing 375 00:26:12,720 --> 00:26:18,200 rounds or cycles that. So first, if there is a matching 376 00:26:19,000 --> 00:26:23,280 little piece of genetic material in the sample, it'll double it. 377 00:26:23,560 --> 00:26:27,400 So if there's, let's say there's 10 copies of it to begin with, 378 00:26:27,720 --> 00:26:31,440 after the first round, there'll be 20 and then after the second 379 00:26:31,440 --> 00:26:35,440 round, 40, right? And each time it'll double. 380 00:26:35,440 --> 00:26:38,800 And so that's like an exponential rise. 381 00:26:40,080 --> 00:26:44,880 And each time you do this, it can make mistakes. 382 00:26:45,840 --> 00:26:51,800 So in other words, when it, when it makes a copy, it might make a 383 00:26:51,800 --> 00:26:54,760 copy with something's different on it. 384 00:26:54,760 --> 00:27:00,360 Like, you know, pretty much like they say, mutations work and if 385 00:27:00,360 --> 00:27:06,280 you do enough cycles of doubling, the number of mistakes 386 00:27:07,080 --> 00:27:14,640 goes up and you could end up at some point where whatever it's 387 00:27:14,640 --> 00:27:19,320 making at the end wasn't present in the starting material at all. 388 00:27:19,320 --> 00:27:23,640 It's completely manufactured through errors of the copying 389 00:27:23,640 --> 00:27:26,080 process. And just like, you know, that if 390 00:27:26,080 --> 00:27:29,200 you took, you know, if you had an old fashioned photocopier, 391 00:27:29,200 --> 00:27:32,960 like now we have these in our, you know, office computers and, 392 00:27:33,120 --> 00:27:36,440 you know, made a copy of something, then took the copy, 393 00:27:36,440 --> 00:27:40,400 made a copy of the copy, made another copy of that copy, copy 394 00:27:40,400 --> 00:27:42,960 that copy, you'd see the quality degrade, right? 395 00:27:42,960 --> 00:27:45,080 And the same thing happens with PCR. 396 00:27:45,080 --> 00:27:49,040 And really, PCR is kind of like a a molecular photocopier. 397 00:27:50,880 --> 00:27:53,560 OK. But Andy, I mean this is just 398 00:27:53,560 --> 00:27:57,240 all academic. How does this affect me, you 399 00:27:57,240 --> 00:27:59,560 know, in my, in my day-to-day life? 400 00:28:00,240 --> 00:28:05,480 Well, those viral load PCR procedures are used 401 00:28:05,960 --> 00:28:12,120 diagnostically to, you know, tell you that you have a virus 402 00:28:12,120 --> 00:28:15,960 in your body or sometimes even they use it for bacteria too and 403 00:28:15,960 --> 00:28:21,000 it has problems there as well. So like I, I had a client 404 00:28:21,040 --> 00:28:24,920 because you know, I, I do educational consultations around 405 00:28:24,960 --> 00:28:29,000 natural healing and such. And I had someone a couple of 406 00:28:29,000 --> 00:28:35,120 years ago who came to me and in the 80s during the AIDS scare, 407 00:28:35,320 --> 00:28:37,200 right? He was in the homosexual 408 00:28:37,200 --> 00:28:40,520 community. He got tested and was told he 409 00:28:40,520 --> 00:28:44,400 was HIV positive. And now he wasn't sick at all. 410 00:28:44,520 --> 00:28:47,240 He, just because of his lifestyle, he went and got this 411 00:28:47,240 --> 00:28:52,160 test. Now the, the people who gave him 412 00:28:52,160 --> 00:28:56,760 the results, they told him that he should just go and apply for 413 00:28:57,200 --> 00:28:59,800 disability like Social Security disability through the 414 00:28:59,800 --> 00:29:03,360 government because he was going to get sick and die and not be 415 00:29:03,360 --> 00:29:05,520 able to take care of himself anyway. 416 00:29:05,760 --> 00:29:11,080 And just from having this, you know, lab test, which it wasn't 417 00:29:11,080 --> 00:29:14,480 APCR then it was an antibody test, but the same thing would 418 00:29:14,480 --> 00:29:20,400 happen if it was a viral load test and went on disability. 419 00:29:21,200 --> 00:29:27,680 And now he got in touch with me like 30 years or 25 years later, 420 00:29:28,920 --> 00:29:33,560 never got sick, right. And now he's kind of questioning 421 00:29:34,040 --> 00:29:36,560 what he what he should do. He was even been taking like 422 00:29:36,560 --> 00:29:38,680 prophylactic medications all this time. 423 00:29:39,400 --> 00:29:45,480 And you know, so he basically all of his productive adult life 424 00:29:45,480 --> 00:29:50,160 was lost because he just became dependent and expecting to get 425 00:29:50,160 --> 00:29:54,560 sick and die at any time, right. So that that's a extremely 426 00:29:54,560 --> 00:29:59,760 serious consequence of believing this false information. 427 00:30:00,920 --> 00:30:05,160 It's sad to me though that so many people have bought into 428 00:30:05,160 --> 00:30:11,240 this and it almost seems like it's not going to change. 429 00:30:12,800 --> 00:30:17,920 Well, I don't, you know, I'm more optimistic than you about 430 00:30:17,920 --> 00:30:20,680 this germ. Like, I feel like already 431 00:30:20,680 --> 00:30:23,800 there's been a lot of traction. I mean, this is part of the 432 00:30:23,800 --> 00:30:27,200 discussion. Even mainstream people have 433 00:30:27,200 --> 00:30:30,080 heard about this. Now, they may think it's 434 00:30:30,080 --> 00:30:35,880 ridiculous, right? But just it being spoken is, you 435 00:30:35,880 --> 00:30:39,800 know, a major accomplishment. If we look at, you know, 436 00:30:39,800 --> 00:30:44,480 paradigm shifts throughout history, they they take time, 437 00:30:44,480 --> 00:30:45,800 right? And, and people have written 438 00:30:45,800 --> 00:30:49,320 about this, how you know, when you, when you introduce a new 439 00:30:49,320 --> 00:30:55,640 idea, even if it's true, first you're ridiculed, right then, 440 00:30:56,280 --> 00:30:59,400 then there's conversation about it, but skepticism, you know, 441 00:30:59,400 --> 00:31:03,200 and eventually it just becomes the, the new paradigm. 442 00:31:03,800 --> 00:31:07,400 So we, we need more time. And definitely, you know, I'm 443 00:31:07,400 --> 00:31:10,920 glad that I can come on here again and, and talk about this 444 00:31:11,240 --> 00:31:15,000 topic because it needs to be repeated over and over so that 445 00:31:15,920 --> 00:31:19,760 it can start to settle in to people's thinking because it's 446 00:31:19,760 --> 00:31:22,640 so heretical. When you first hear about that, 447 00:31:22,640 --> 00:31:25,640 you know, germs don't cause disease, viruses don't even 448 00:31:25,640 --> 00:31:29,600 exist. It, it's so far astray from the 449 00:31:29,600 --> 00:31:33,320 mainstream and what you've been told your whole life and, and 450 00:31:33,320 --> 00:31:37,080 you even have experienced that, you know, with confirmation bias 451 00:31:37,080 --> 00:31:43,400 seems to give weight to that. It's only when you look at it 452 00:31:43,400 --> 00:31:46,720 more objectively that you see that that could be interpreted a 453 00:31:46,720 --> 00:31:50,520 number of ways. So that's why it takes, you 454 00:31:50,520 --> 00:31:54,960 know, time and time again to introduce the idea so that you 455 00:31:54,960 --> 00:31:59,600 can say, you know, maybe I should look into this because 456 00:31:59,600 --> 00:32:01,600 the, the evidence is quite compelling. 457 00:32:01,600 --> 00:32:06,640 And you know, doctors and virologists, if you go, if you 458 00:32:06,640 --> 00:32:09,840 go to your doctor and ask them, say, you know, how do we know 459 00:32:09,840 --> 00:32:12,080 that this virus causes this disease? 460 00:32:12,080 --> 00:32:14,440 They, they won't have the, the first clue. 461 00:32:15,880 --> 00:32:17,400 They might give an answer, right? 462 00:32:17,400 --> 00:32:21,000 But they won't, they won't be able to tell you, you know, what 463 00:32:21,000 --> 00:32:22,960 the experiment was. Oh, can you describe the 464 00:32:22,960 --> 00:32:25,640 experiment to me? Can you tell me the name of the 465 00:32:25,640 --> 00:32:27,200 scientist who discovered it? Right. 466 00:32:27,200 --> 00:32:31,440 They'll know nothing about that. And that should be a good 467 00:32:31,440 --> 00:32:34,640 indication of like, interestingly interesting. 468 00:32:34,640 --> 00:32:38,080 Why don't they know that? Like if it's so well 469 00:32:38,080 --> 00:32:41,560 established, it, you know, it should be like a matter of pride 470 00:32:41,560 --> 00:32:43,960 to learn about the experiments that discovered it. 471 00:32:43,960 --> 00:32:46,480 I mean, think about it, how heroic that could be. 472 00:32:48,800 --> 00:32:52,680 And that should be a clue that I wonder what those studies 473 00:32:52,680 --> 00:32:55,800 actually show. Why don't I take a look at them 474 00:32:55,800 --> 00:33:00,080 or or or read about someone who you know who described it in a 475 00:33:00,080 --> 00:33:03,200 way you can understand? Mike Eden's got a great sub 476 00:33:03,200 --> 00:33:10,960 stack in which he lists clinical trials over the last 200 years 477 00:33:11,120 --> 00:33:17,400 attempting to show transmission of any pathogen between humans 478 00:33:17,680 --> 00:33:19,000 and every single one is a failure. 479 00:33:19,000 --> 00:33:20,880 And it goes. I mean they also mentioned the 480 00:33:21,120 --> 00:33:23,680 Spanish flu one. That was a famous one. 481 00:33:23,680 --> 00:33:27,560 I forget now. Who was the scientist behind 482 00:33:27,560 --> 00:33:30,560 that one? You know the one I'm talking 483 00:33:30,560 --> 00:33:31,840 about. Yes, of course. 484 00:33:31,840 --> 00:33:34,600 And there was a series of experiments and I'll and they. 485 00:33:34,600 --> 00:33:37,080 Had they had a hundred, a hundred healthy soldiers and 486 00:33:37,080 --> 00:33:38,240 they couldn't make one of them sick? 487 00:33:39,120 --> 00:33:45,320 I forget his name now anyway, but what's interesting is when 488 00:33:45,320 --> 00:33:46,920 we're talking about viruses, right? 489 00:33:46,920 --> 00:33:50,400 Like earlier you say you could. Yeah, that's right. 490 00:33:50,400 --> 00:33:51,160 Rosenau. There we go. 491 00:33:53,960 --> 00:33:55,760 You'll see a picture. There is somebody will give you 492 00:33:55,760 --> 00:33:59,640 a picture, this little black and white image, right? 493 00:33:59,640 --> 00:34:02,000 And it's a circle with little things sticking out of it, and 494 00:34:02,000 --> 00:34:02,720 I'll go. There it is. 495 00:34:02,720 --> 00:34:06,040 That's the virus. And I've asked this question so 496 00:34:06,040 --> 00:34:08,440 many times. How do you know? 497 00:34:09,239 --> 00:34:10,719 Yeah, no, you're absolutely right. 498 00:34:10,719 --> 00:34:14,840 And this, you know, this goes back to what I was saying before 499 00:34:14,840 --> 00:34:18,719 about exosomes, because you know, in that in that 500 00:34:18,719 --> 00:34:23,520 experiment, after they, they used physical means to separate 501 00:34:23,520 --> 00:34:26,159 out the exosomes from everything else in the blood. 502 00:34:26,920 --> 00:34:30,440 They took some of that and looked at it under the electron 503 00:34:30,440 --> 00:34:33,960 microscope. And the only thing you see are 504 00:34:33,960 --> 00:34:38,600 identical round particles, right, of the same size and 505 00:34:38,600 --> 00:34:43,440 morphology. So you know that what's in that? 506 00:34:43,600 --> 00:34:48,000 You know you have a pure sample of these particles and you 507 00:34:48,000 --> 00:34:52,560 confirm that right. So now in the future, if you're 508 00:34:52,560 --> 00:34:56,000 looking for these particles in other people, you at least have 509 00:34:56,000 --> 00:35:00,400 some basis of identifying them, although certainly different 510 00:35:00,400 --> 00:35:07,360 things can look the same, right? So you have to be careful of 511 00:35:07,360 --> 00:35:11,080 that. But with respect to the images 512 00:35:11,080 --> 00:35:14,480 that they show viruses, that's never been done. 513 00:35:14,480 --> 00:35:18,720 They've never, you know, separated out and then showed a 514 00:35:18,720 --> 00:35:23,360 picture of just that and then taken that and done experiments 515 00:35:23,360 --> 00:35:26,640 like with coax postulates to show that it produces the same 516 00:35:26,640 --> 00:35:29,920 image. What they do instead is they 517 00:35:29,920 --> 00:35:32,680 have the assumption, right? They they would, if they use 518 00:35:32,680 --> 00:35:35,480 blood, like let's say they were going to use blood like it with 519 00:35:35,480 --> 00:35:38,000 the exosomes, they would take the blood, right? 520 00:35:38,000 --> 00:35:39,720 That has many, many things in it. 521 00:35:41,040 --> 00:35:45,960 It has particles in it, it has cells in it, it has proteins in 522 00:35:45,960 --> 00:35:51,440 it, right? And various other molecules like 523 00:35:51,440 --> 00:35:54,040 clotting factors and things like that, that are circulating 524 00:35:54,040 --> 00:35:56,200 around the blood, maybe cholesterol, right? 525 00:35:56,200 --> 00:35:59,480 All that's in the blood. They take the whole blood. 526 00:36:00,160 --> 00:36:04,840 Maybe they filter out the really big things like the blood cells 527 00:36:05,240 --> 00:36:09,560 and just have the fluid. But it's still it's, it's got a 528 00:36:09,560 --> 00:36:12,200 whole bunch of things now. They assume a virus is in there, 529 00:36:12,360 --> 00:36:17,080 but never show it. Now then they take that whole 530 00:36:17,080 --> 00:36:22,080 thing and put it under an electron microscope and they see 531 00:36:22,080 --> 00:36:26,520 everything that's in there. They see cells, they see 532 00:36:26,520 --> 00:36:31,400 particles, right? They see cellular organelles, 533 00:36:32,000 --> 00:36:35,720 all these things, but they don't know what any of these things 534 00:36:35,720 --> 00:36:39,280 are, at least the particles. There's no way to identify them. 535 00:36:39,280 --> 00:36:44,520 There's no specific label or stain that's used that only, you 536 00:36:44,520 --> 00:36:49,280 know, lights up those things. They could make things like 537 00:36:49,280 --> 00:36:53,440 that, but they don't. They just have an expert 538 00:36:53,440 --> 00:36:58,200 microscopist look at everything under the microscope and then 539 00:36:58,520 --> 00:37:03,000 whatever they think the virus is supposed to look like, they just 540 00:37:03,000 --> 00:37:05,080 point to that and say that that's the virus. 541 00:37:05,080 --> 00:37:09,560 But there there's no proof. Well, what that is, it could be 542 00:37:09,560 --> 00:37:12,520 a million things. It could be an exosome, it could 543 00:37:12,520 --> 00:37:16,840 be another type of vex vesicle that that are all known that 544 00:37:16,840 --> 00:37:19,400 could be seen in healthy samples as well. 545 00:37:19,400 --> 00:37:25,080 So it's completely arbitrary. But with bacteria you can 546 00:37:25,080 --> 00:37:30,920 actually test these things, and even then disease hasn't been 547 00:37:30,920 --> 00:37:33,760 shown to be caused by them. Yeah, that's right with you. 548 00:37:33,960 --> 00:37:37,000 You can take. So if there's, let's say 549 00:37:37,000 --> 00:37:41,600 bacteria in the blood, OK, so you take that blood sample, you 550 00:37:41,600 --> 00:37:45,240 can put that under a light microscope, which doesn't 551 00:37:45,240 --> 00:37:48,320 require any processing of the blood. 552 00:37:48,320 --> 00:37:51,840 Like you could just take the raw living blood right right there 553 00:37:52,160 --> 00:37:56,240 and plop it on a microscope slide and look at it under a 554 00:37:56,240 --> 00:38:00,040 high power objective. And you can see back if there's 555 00:38:00,040 --> 00:38:06,400 bacteria in there, then you can do simple processes to separate, 556 00:38:06,440 --> 00:38:08,800 physically separate out those bacteria. 557 00:38:09,400 --> 00:38:13,200 And then you can grow them on a, you know, in a Petri dish to, to 558 00:38:13,320 --> 00:38:14,880 make more of them if you want to. 559 00:38:14,880 --> 00:38:18,200 Or you could just take the ones you found directly there and do 560 00:38:18,200 --> 00:38:21,200 experiments on them. Like, you know, put them in a 561 00:38:21,280 --> 00:38:24,800 healthy Organism. See if they make the Organism 562 00:38:24,800 --> 00:38:28,160 sick. OK, but let's look at some real 563 00:38:28,160 --> 00:38:32,920 examples. So we take some water from a 564 00:38:32,920 --> 00:38:36,040 pond that's got stuff floating on. 565 00:38:36,040 --> 00:38:39,600 It looks, it looks like bacteria and you drink that and you get a 566 00:38:39,600 --> 00:38:43,160 bit sick. Well, you didn't just drink the 567 00:38:43,160 --> 00:38:46,280 pure bacteria, you drank everything that was in that 568 00:38:46,280 --> 00:38:48,760 water. So how do you know what was in 569 00:38:48,760 --> 00:38:51,400 there? You know, that's that's exactly 570 00:38:51,400 --> 00:38:54,480 the experiment that they do with viruses, right? 571 00:38:54,480 --> 00:38:58,080 You so except that you can actually show this bacteria in 572 00:38:58,080 --> 00:39:01,280 that pond water, right, instead of just assuming it. 573 00:39:01,280 --> 00:39:05,840 But yeah, you can't if you have a whole mixture of things, you 574 00:39:05,840 --> 00:39:09,200 can't tell what thing in that mix is producing the effect. 575 00:39:09,200 --> 00:39:12,920 So you you know, this is what what's known as an independent 576 00:39:12,920 --> 00:39:17,280 variable. You can't do a scientific 577 00:39:17,320 --> 00:39:20,320 experiment, you know, according to the scientific method, unless 578 00:39:20,320 --> 00:39:23,920 you have an independent variable that's the one thing you're 579 00:39:23,920 --> 00:39:26,960 testing. So you would have to take that 580 00:39:26,960 --> 00:39:31,160 pond water and separate out the the bacteria from everything 581 00:39:31,160 --> 00:39:33,560 else, right? Because there there could be 582 00:39:33,560 --> 00:39:37,920 agricultural runoff with chemicals in there, you know, 583 00:39:37,920 --> 00:39:42,600 there could be overgrowth of a certain Organism and a bunch of 584 00:39:42,600 --> 00:39:45,520 fecal material, like who knows what's in there that could 585 00:39:45,960 --> 00:39:47,960 potentially be harmful to health. 586 00:39:48,480 --> 00:39:55,680 The one that always comes up. My kid went to school and 13 of 587 00:39:55,680 --> 00:40:01,320 the 20 kids got chicken pox. Well, those, those aren't real 588 00:40:01,320 --> 00:40:03,200 numbers. You're just making those numbers 589 00:40:03,200 --> 00:40:05,440 up. But you know, this is what I was 590 00:40:05,440 --> 00:40:08,960 talking about earlier, that you might have some life experience 591 00:40:08,960 --> 00:40:13,800 that you would interpret as supporting, you know, contagion, 592 00:40:14,320 --> 00:40:17,120 but you you don't actually have the evidence. 593 00:40:17,120 --> 00:40:19,760 So let's let's say you, you know, you do that. 594 00:40:20,080 --> 00:40:24,960 Well, did you observe any viruses going from the first kid 595 00:40:24,960 --> 00:40:26,640 with chicken pox to the other kids? 596 00:40:27,680 --> 00:40:32,080 Right, because that's what we're told contagion does. 597 00:40:33,720 --> 00:40:35,880 That's not something you can observe, right? 598 00:40:36,920 --> 00:40:41,840 So you don't have direct proof. So what you observe is that 599 00:40:41,840 --> 00:40:44,720 there's one child who's sick and then there are other children 600 00:40:44,720 --> 00:40:51,880 who become sick with a similar issues, right, in a close time 601 00:40:51,880 --> 00:40:54,280 proximity, in a close geographic location. 602 00:40:55,560 --> 00:40:58,560 So are there any other commonalities? 603 00:40:58,560 --> 00:41:03,080 You said that the kid went to school, So what are they exposed 604 00:41:03,080 --> 00:41:05,200 to at the school? Is there something there that 605 00:41:05,200 --> 00:41:09,000 they were all exposed to that could have resulted in this? 606 00:41:10,200 --> 00:41:13,240 What about the season, right? They're all experiencing the 607 00:41:13,240 --> 00:41:18,400 same environmental stimuli, so could that be involved? 608 00:41:19,360 --> 00:41:21,480 What about their stage of development? 609 00:41:21,480 --> 00:41:25,320 Are they all at the same, you know, stage of development? 610 00:41:25,720 --> 00:41:29,000 Could that be involved? And none of those other 611 00:41:29,160 --> 00:41:32,800 possibilities have ever been looked at seriously because 612 00:41:33,440 --> 00:41:37,440 they're like all the other, you know, viral illnesses. 613 00:41:37,440 --> 00:41:41,080 There's just been the assumption that this is caused by a virus. 614 00:41:41,080 --> 00:41:44,960 But when they do experiments like where they take fluid out 615 00:41:44,960 --> 00:41:49,920 of the chicken pox lesion and inject that into a healthy 616 00:41:49,920 --> 00:41:55,920 subject, the healthy subject doesn't get chicken pox, right. 617 00:41:55,920 --> 00:42:00,440 And that would be, you know, the more speaking to the direct 618 00:42:00,440 --> 00:42:03,320 proof that this contagion occurs. 619 00:42:03,320 --> 00:42:07,680 You know, I, I attended a family reunion several years ago and we 620 00:42:07,680 --> 00:42:13,400 all ate at the same restaurant. And that night, you know, maybe 621 00:42:13,640 --> 00:42:19,880 30% of the people who were there all were throwing up and having 622 00:42:19,880 --> 00:42:23,040 diarrhea and, you know, pretty miserable. 623 00:42:23,640 --> 00:42:29,320 And did we pass, you know, viruses around causing that? 624 00:42:29,320 --> 00:42:31,880 Right, Rotavirus, what what they say causes that? 625 00:42:32,360 --> 00:42:37,720 No, we ate the same dish at the restaurant and it was food 626 00:42:37,720 --> 00:42:41,640 poisoning. So we don't need any virus to 627 00:42:41,640 --> 00:42:44,360 explain that. But if you it's the same 628 00:42:44,360 --> 00:42:48,480 experience, you know that you discussed that people would 629 00:42:48,520 --> 00:42:50,920 interpret as evidence of contagion. 630 00:42:51,640 --> 00:42:55,400 It's entirely possible that we have a very impoverished view on 631 00:42:55,400 --> 00:42:59,760 what causes these things. Why do we yawn collectively? 632 00:43:00,080 --> 00:43:05,200 Yeah, or when women's become close in their relationship, 633 00:43:05,200 --> 00:43:09,200 that their periods synchronize, right, Their menstrual cycles. 634 00:43:10,040 --> 00:43:13,720 No one suspects there's a, you know, menstrual cycle virus. 635 00:43:15,280 --> 00:43:19,760 Yeah. And I chatted to somebody who 636 00:43:19,760 --> 00:43:22,520 argues for something called German New Medicine. 637 00:43:22,520 --> 00:43:27,520 Very, very interesting topic. And she was saying that the kids 638 00:43:27,520 --> 00:43:30,720 who get chicken pox most likely have something called separation 639 00:43:30,720 --> 00:43:34,760 anxiety, which is a which is a stress induced response because 640 00:43:34,760 --> 00:43:37,920 they are away from their families and in in environment 641 00:43:37,920 --> 00:43:40,240 that are environments that are a little bit alien. 642 00:43:41,040 --> 00:43:46,520 I, I would say that what you can take away from that is that a 643 00:43:46,680 --> 00:43:51,840 psychological insult, like like a trauma, for example, or a 644 00:43:52,960 --> 00:43:58,240 bereavement, right? Grief can definitely manifest 645 00:43:58,320 --> 00:44:02,920 physically in a variety of ways, and that's something that is 646 00:44:02,920 --> 00:44:06,880 definitely underrepresented in the medical system. 647 00:44:07,760 --> 00:44:11,000 I mean, stress causes sickness. There's there's no doubt about 648 00:44:11,000 --> 00:44:12,680 that. It's it's not even debatable. 649 00:44:13,480 --> 00:44:18,040 No, no, no, of course not. I mean, I think, you know, there 650 00:44:18,040 --> 00:44:20,520 are quite extreme examples of that, right? 651 00:44:20,520 --> 00:44:25,120 Like I I'm pretty sure that there are people who developed 652 00:44:25,120 --> 00:44:30,920 cancer exclusively because of a psychological damage. 653 00:44:33,520 --> 00:44:36,560 But then what is the take away? Someone listening to this going 654 00:44:36,560 --> 00:44:41,040 OK, sure, all right, so viruses don't exist or germs don't cause 655 00:44:41,040 --> 00:44:42,920 disease, but we all still get sick. 656 00:44:42,920 --> 00:44:50,520 So now what? Well, you know, I think it's 657 00:44:50,520 --> 00:44:54,760 pretty obvious that when it comes to understanding your 658 00:44:54,760 --> 00:44:58,680 health, you want to know as much truth as possible because that 659 00:44:58,680 --> 00:45:03,800 allows you to make decisions to improve your health, right? 660 00:45:03,800 --> 00:45:07,320 So yes. And we all get sick from time to 661 00:45:07,320 --> 00:45:09,960 time, but not to the same degree, right? 662 00:45:09,960 --> 00:45:13,680 There are some people who get, you know, bronchitis, pneumonia 663 00:45:13,680 --> 00:45:17,840 and are sick, you know, repeatedly throughout the cold 664 00:45:17,840 --> 00:45:20,600 season. And then there's some people who 665 00:45:20,600 --> 00:45:23,160 get a mild cold every three years, Right. 666 00:45:23,160 --> 00:45:25,920 And what's the difference between those people? 667 00:45:27,080 --> 00:45:32,080 You know, what about what's really causing health problems 668 00:45:32,080 --> 00:45:35,360 like in in the even outside of germ theory, right? 669 00:45:35,360 --> 00:45:39,120 We have this huge increase in chronic disease over the last 670 00:45:39,120 --> 00:45:44,840 century and pretty much the medical system says we, we don't 671 00:45:44,840 --> 00:45:47,280 have any idea what's causing it, right? 672 00:45:47,280 --> 00:45:49,520 Like autoimmune diseases, for example. 673 00:45:50,520 --> 00:45:53,920 You know, even cancer, they don't, they don't even claim to 674 00:45:53,920 --> 00:45:57,080 know what's causing cancer, right? 675 00:45:57,080 --> 00:46:00,680 Even Even though they, they talk about specific genetic 676 00:46:00,680 --> 00:46:04,520 mutations, most cancers don't even the people don't have 677 00:46:04,520 --> 00:46:08,800 those. So we're, we're really being 678 00:46:08,800 --> 00:46:15,400 kept from important knowledge and, and from making, you know, 679 00:46:15,400 --> 00:46:19,360 really solid determinations about what specifically, you 680 00:46:19,360 --> 00:46:23,520 know, now, you know, in my research, in order to understand 681 00:46:23,600 --> 00:46:27,720 what is causing these health problems, I have to rely on 682 00:46:27,920 --> 00:46:32,120 indirect and anecdotal evidence because the mainstream 683 00:46:32,120 --> 00:46:34,680 authorities or the people who fund the research or who are 684 00:46:34,680 --> 00:46:38,760 doing this research are not looking for the real truth. 685 00:46:39,160 --> 00:46:42,760 They are basically just continuing to perpetuate the 686 00:46:42,760 --> 00:46:49,200 same kind of profitable frauds. So, you know, the more people 687 00:46:49,200 --> 00:46:53,520 start to realize the truth, then they, the society is going to 688 00:46:53,520 --> 00:46:56,360 put more resources into finding the truth. 689 00:46:57,960 --> 00:47:02,680 But I can tell you even with the what I have been able to learn 690 00:47:03,160 --> 00:47:06,360 and observe from many other people who have come to similar 691 00:47:06,360 --> 00:47:13,200 conclusions is that people can fully turn around their health 692 00:47:13,200 --> 00:47:16,920 from these chronic conditions, like completely reverse them. 693 00:47:17,480 --> 00:47:20,880 Not by taking pharmaceutical drugs and getting surgical 694 00:47:20,880 --> 00:47:26,160 procedures, but by lifestyle changes using nature. 695 00:47:26,720 --> 00:47:30,720 You know, things like fasting, sweating, enemas. 696 00:47:31,400 --> 00:47:38,760 These are what can, you know, help people's bodies heal and. 697 00:47:38,760 --> 00:47:41,680 Also changing your diet. Absolutely. 698 00:47:41,680 --> 00:47:43,840 That's when I talk about lifestyle changes. 699 00:47:43,840 --> 00:47:47,040 It's diet is the biggest thing by far. 700 00:47:49,560 --> 00:47:58,000 I, I remember during the COVID era, I visited a friend and he 701 00:47:58,000 --> 00:48:01,560 is, he was still caught up in this whole thing and he was sick 702 00:48:01,560 --> 00:48:03,960 at the time. And I went up to him and he 703 00:48:04,080 --> 00:48:06,320 threw out his elbow, you know, to, to greet me. 704 00:48:06,960 --> 00:48:09,840 And I just smiled and I just walked up to him and gave him a 705 00:48:09,840 --> 00:48:12,760 hug. And the point that I'm making is 706 00:48:12,760 --> 00:48:17,120 that I don't think I can pick up anything from anybody. 707 00:48:17,280 --> 00:48:20,240 So that's precisely what happened. 708 00:48:20,320 --> 00:48:22,160 I didn't pick up anything from him. 709 00:48:23,920 --> 00:48:26,480 Yes, well, you know, it's. The aspect of fear, it's the 710 00:48:26,480 --> 00:48:27,520 fear. That's what I'm talking about, 711 00:48:27,520 --> 00:48:29,400 no? No, you, you know that that's an 712 00:48:29,400 --> 00:48:31,560 excellent point. I should have, you know, been 713 00:48:31,560 --> 00:48:34,520 thinking along those lines. But since the tyranny of the 714 00:48:34,520 --> 00:48:39,800 COVID era has passed, you know, that's not in my consciousness. 715 00:48:39,800 --> 00:48:43,800 But you're absolutely right. The the germ theory makes you 716 00:48:43,800 --> 00:48:48,240 afraid of your brother, right? Because they're going to get you 717 00:48:48,240 --> 00:48:52,960 sick. And that separates us, makes us 718 00:48:52,960 --> 00:48:55,840 lonely, increases things like addiction. 719 00:48:57,640 --> 00:49:00,320 So it's it's a very, very deleterious. 720 00:49:01,080 --> 00:49:03,400 You don't see this in the animal Kingdom. 721 00:49:03,640 --> 00:49:06,160 So here in South Africa we've got the Kruger National Park, 722 00:49:06,160 --> 00:49:09,680 which is a huge game park. It's the size of Israel, so it's 723 00:49:09,680 --> 00:49:13,280 pretty big. And in the last 120 years of its 724 00:49:13,280 --> 00:49:19,160 existence, there has never been an epidemic of any kind other 725 00:49:19,160 --> 00:49:23,280 than the fact that where there have been a few collective 726 00:49:23,280 --> 00:49:27,440 illnesses with the within the with the animals, it's generally 727 00:49:27,440 --> 00:49:30,600 related to something like pollution that came down one of 728 00:49:30,600 --> 00:49:35,520 the street, one of the rivers. And normally it's some third 729 00:49:35,520 --> 00:49:38,360 party interference that created that. 730 00:49:38,600 --> 00:49:42,800 Yeah, I completely agree. You know, when you do see these 731 00:49:43,160 --> 00:49:46,440 types of events, there's, you know, always a rational 732 00:49:46,440 --> 00:49:50,480 explanation, you know, usually some kind of, you know, 733 00:49:50,480 --> 00:49:53,240 pollution that is very poisonous. 734 00:49:53,240 --> 00:49:59,120 And I think also, I think that that happens with some of these 735 00:49:59,120 --> 00:50:02,920 human outbreaks as well. And the virus story is a way to 736 00:50:02,920 --> 00:50:07,320 cover it up like I would, I would bet that any of these, you 737 00:50:07,320 --> 00:50:11,240 know, hemorrhagic fever outbreaks like Ebola and 738 00:50:11,240 --> 00:50:16,000 Marburg, I would bet that those are due to some kind of toxic 739 00:50:16,000 --> 00:50:19,280 exposure. And that this, the story of this 740 00:50:19,280 --> 00:50:22,440 really, really scary virus is just to cover it up. 741 00:50:22,440 --> 00:50:26,400 And, you know, because think about it like, you know, if, if, 742 00:50:26,520 --> 00:50:31,000 if there was a virus that had like an 80% mortality and the 743 00:50:31,000 --> 00:50:35,000 way it killed you is you essentially bleed and, and drown 744 00:50:35,000 --> 00:50:39,280 on your own blood. You know, that's that's so scary 745 00:50:39,280 --> 00:50:44,600 that, you know, you don't question it, You just hope that 746 00:50:44,600 --> 00:50:47,440 it doesn't affect you and you hope they figure out a way to 747 00:50:47,440 --> 00:50:50,720 make a vaccine. But I mean, some of it is also 748 00:50:50,720 --> 00:50:53,960 so just ridiculous. If you think about HIV, which 749 00:50:53,960 --> 00:50:58,880 you mentioned earlier, it suddenly appeared in the 1980s 750 00:50:58,880 --> 00:51:02,160 and it didn't like gaming in in in nightclubs in New York. 751 00:51:02,160 --> 00:51:05,720 Let's be quite specific here. And then somehow it ended up in 752 00:51:05,720 --> 00:51:10,520 Africa and, and it took a decade or two for them to decide what 753 00:51:10,520 --> 00:51:13,080 the definition of AIDS actually is. 754 00:51:14,000 --> 00:51:14,760 So. So you had a. 755 00:51:14,880 --> 00:51:16,560 Virus different in different countries. 756 00:51:17,280 --> 00:51:20,000 Yes. You know, in in Africa they 757 00:51:20,200 --> 00:51:27,440 need, they needed something to blame all of the mining related 758 00:51:27,440 --> 00:51:30,760 illness so that the mining companies wouldn't have to pay 759 00:51:31,080 --> 00:51:35,120 disability. And, you know, so that's why, 760 00:51:35,440 --> 00:51:38,960 like, tuberculosis and other pulmonary conditions are 761 00:51:39,080 --> 00:51:43,200 emphasized in Africa compared to the US. 762 00:51:43,760 --> 00:51:47,000 So how can my audience follow your work? 763 00:51:47,840 --> 00:51:51,480 Well, I'm at Doctor Andrew Kaufman on all the social 764 00:51:51,480 --> 00:51:54,280 platforms, Instagram, YouTube, etcetera. 765 00:51:54,880 --> 00:52:00,160 And also Andrew kaufmanmd.com is a website where you can get 766 00:52:00,160 --> 00:52:05,280 access to my free protocol and and many free workshops and 767 00:52:05,280 --> 00:52:09,080 resources there. So definitely check that out if 768 00:52:09,080 --> 00:52:10,960 you want to learn more about natural health. 769 00:52:12,280 --> 00:52:14,800 I want to add a disclaimer because this always comes up. 770 00:52:14,920 --> 00:52:16,800 Oh, OK. So is he a virologist? 771 00:52:16,960 --> 00:52:20,200 And thank goodness you're not because if you were a 772 00:52:20,200 --> 00:52:25,040 virologist, you would be stuck within those parameters. 773 00:52:25,440 --> 00:52:28,800 And that's a problem, I think, with hyper specialization is 774 00:52:28,800 --> 00:52:33,240 that you you get forced into a lane and you cannot get out of 775 00:52:33,240 --> 00:52:35,000 that lane. So you have to argue as a 776 00:52:35,000 --> 00:52:36,760 virologist that viruses are real. 777 00:52:37,760 --> 00:52:41,680 Well, yeah, I mean, if I was a virologist, I would be now a 778 00:52:41,680 --> 00:52:45,560 former virologist. But once you once you realize 779 00:52:45,560 --> 00:52:47,560 the truth, it's like, what are you doing? 780 00:52:47,560 --> 00:52:50,680 You have to get out of there. But, you know, even though I 781 00:52:50,680 --> 00:52:55,880 never did virology research, I, I've been in the lab, I've done 782 00:52:55,880 --> 00:52:58,720 all the kinds of molecular stuff, you know, ran 783 00:52:58,720 --> 00:53:03,360 electrophoresis, southern blots, northern blots, PCRS, you know, 784 00:53:03,360 --> 00:53:10,080 all those kind of same techniques that are used, you 785 00:53:10,080 --> 00:53:12,520 know, in virology. I'm, I'm very familiar with how 786 00:53:12,520 --> 00:53:15,000 they work. So, you know, that's how I'm 787 00:53:15,000 --> 00:53:18,200 able to understand that research so thoroughly. 788 00:53:18,640 --> 00:53:21,960 But it, it's important, you know that that's a logic fallacy. 789 00:53:21,960 --> 00:53:24,720 Of course, it's called appeal to authority when, you know, you 790 00:53:24,720 --> 00:53:30,120 say only someone with a certain credential or status, you know, 791 00:53:30,120 --> 00:53:32,080 is capable of understanding something. 792 00:53:32,320 --> 00:53:37,200 And that's a trap, right? That's that's a big reason why 793 00:53:37,200 --> 00:53:40,640 we're all so ignorant about so many things is because we think, 794 00:53:40,960 --> 00:53:44,240 oh, I couldn't possibly understand about electricity. 795 00:53:44,240 --> 00:53:48,160 So I'll have to, you know, rely on an engineer or a physicist, 796 00:53:48,160 --> 00:53:50,880 or I couldn't possibly understand about nuclear energy 797 00:53:51,160 --> 00:53:55,360 or medicine or, you know, chemicals or whatever. 798 00:53:55,760 --> 00:54:00,080 And but the truth is, is, you know, we, we can all understand 799 00:54:00,080 --> 00:54:02,000 these things. So we just have to, you know, 800 00:54:02,000 --> 00:54:05,240 spend a little time and effort because the, you know, I think 801 00:54:05,240 --> 00:54:09,040 the biggest barrier is just the language that all the, you know, 802 00:54:09,040 --> 00:54:11,640 it's natural for people when they get expert in a certain 803 00:54:11,640 --> 00:54:15,360 field to develop your own terms because you've got unique, you 804 00:54:15,360 --> 00:54:18,240 know, concepts that you're talking about or unique tools 805 00:54:18,240 --> 00:54:19,920 that you use in your trade or whatever. 806 00:54:19,920 --> 00:54:24,480 So even, you know, Craftsman who are specialized, you know, like 807 00:54:24,480 --> 00:54:28,360 a glass blower has special terminology and you know, you 808 00:54:28,360 --> 00:54:30,880 wouldn't know what what they're talking about unless you take 809 00:54:30,880 --> 00:54:34,080 the time to learn that. So that's the big barrier. 810 00:54:34,760 --> 00:54:37,840 But it's important that we make the effort to understand these 811 00:54:37,840 --> 00:54:40,080 things no matter what. You know, even if we didn't 812 00:54:40,080 --> 00:54:42,520 graduate high school, that doesn't mean you can't 813 00:54:42,520 --> 00:54:46,320 understand how an experiment works or how the scientific 814 00:54:46,320 --> 00:54:49,280 method works. And I'm a huge proponent of 815 00:54:49,760 --> 00:54:55,000 becoming an autodidact and that once you are able to achieve 816 00:54:55,000 --> 00:54:59,320 that, then there's no barriers to what you can learn about and 817 00:54:59,320 --> 00:55:02,840 understand. Knowledge is open source. 818 00:55:03,400 --> 00:55:07,920 That's right. Andrew Kaufman, thank you for 819 00:55:07,920 --> 00:55:10,640 joining me in the trenches. Great to be here.