WEBVTT 00:53.015 --> 01:00.730 I see no changes, wake up in the morning and I ask myself, it's like 01:39.361 --> 01:42.064 I let it go back to when we played as kids, but then it changed. 01:42.224 --> 01:43.126 That's the way it is. 01:43.506 --> 01:43.946 Come on. 01:44.047 --> 01:45.408 Come on. 01:45.789 --> 01:49.753 That's just the way it is. 01:50.114 --> 01:51.896 Things will never be the same. 02:07.369 --> 02:11.023 Things will never be the same That's just the way it is 02:17.136 --> 02:19.898 I see no changes, all I see is racist faces. 02:19.938 --> 02:21.839 Misplaced hate makes disgrace to racists. 02:21.979 --> 02:24.961 We under, I wonder what it takes to make this one better place. 02:24.981 --> 02:26.702 Let's erase the wasted. 02:26.722 --> 02:28.703 Take the evil out the people, they'll be acting right. 02:28.743 --> 02:30.845 Cause vote black and white and smoke a crack tonight. 02:31.085 --> 02:33.026 And the only time we chill is when we kill each other. 02:33.066 --> 02:35.347 It takes skill to be real time to heal each other. 02:35.427 --> 02:39.070 And although it seems evanescent, we ain't ready to see a black president. 02:39.170 --> 02:43.853 It ain't a secret or concealed a fact, our penitentiary's packed and it's filled with blacks. 02:43.873 --> 02:46.254 But some things will never change, try to show another 02:50.026 --> 02:52.608 That's just the way it is Things will never be the same 03:25.137 --> 03:27.617 Things will never be the same. 03:27.657 --> 03:32.598 That's just the way it is. 03:32.758 --> 03:33.659 Oh, yeah. 03:34.539 --> 03:36.759 We gotta make a change. 03:37.759 --> 03:40.380 It's time for us as a people to start making some changes. 03:40.940 --> 03:42.340 Let's change the way we eat. 03:42.660 --> 03:44.100 Let's change the way we live. 03:44.440 --> 03:46.261 And let's change the way we treat each other. 03:46.641 --> 03:51.322 You see, the old way wasn't working, so it's on us to do what we gotta do to survive. 03:51.902 --> 03:53.122 And still I see no changes. 04:21.992 --> 04:25.014 That's just the way it is Things will never be the same 04:55.650 --> 04:59.772 That's just the way it is. 05:00.173 --> 05:04.375 Things will never be the same. 05:04.495 --> 05:06.416 That's just the way it is. 05:06.596 --> 05:07.156 Oh yeah. 05:07.176 --> 05:10.418 Some things will never change. 05:32.391 --> 05:34.777 So let me see if I know how to do this. 05:34.797 --> 05:36.963 This should be good. 05:38.869 --> 05:40.390 Good morning, ladies and gentlemen. 05:40.590 --> 05:44.674 It is the 10th of September, 2024. 05:44.754 --> 05:46.715 I'm coming to you live from Pittsburgh, Pennsylvania. 05:46.835 --> 05:48.957 It is 10.51 in the morning here. 05:49.037 --> 05:50.458 I apologize for being late. 05:51.679 --> 05:55.903 I've got a lot of excuses to share with you, and it's an impromptu Biology 101. 05:56.003 --> 05:58.525 I titled it 101-3 Ruby Update and Twib Exercise. 06:03.188 --> 06:06.091 This is my way of just getting back into the groove of things. 06:06.111 --> 06:09.093 We had a little bit of a rough weekend because we had a bit of a scare. 06:10.514 --> 06:17.120 And so I wanted to share a little bit of that with you because it's still a sort of experience that I'm processing. 06:18.701 --> 06:20.903 And it's also kind of a very tiny 06:22.864 --> 06:23.605 I don't know how to say it. 06:23.665 --> 06:31.073 It's kind of a microcosm of where we've been over these last few years trying to, you know, rediscover the truth. 06:32.295 --> 06:38.862 And myself as a still feels like a very inexperienced and young father. 06:41.245 --> 06:42.326 And certainly as a 06:43.869 --> 06:53.773 as a partner, my wife and I, as a partnership, are still, you know, learning all the ropes of being parents together and working together as kids grow. 06:54.613 --> 07:08.319 It's a never-ending thing, you know, and it's not something I don't think anybody's an expert on except for maybe grandparents, and then really they're only experts on their kids and their time, and so it's really something that 07:09.048 --> 07:10.770 is an incredibly humbling experience. 07:10.830 --> 07:18.836 And actually, anybody that's owned a dog or a cat, I guess, I've never owned a cat, but I guess it happens with cats. 07:18.896 --> 07:31.827 I'm sure it must happen with horses and maybe even farmers that really care for their livestock, like cattle and stuff, feel the same way as well, although there's a lot of them then. 07:34.211 --> 07:48.336 I really can't stress enough how crazy it is, what I feel as though I've kind of discovered with regard to veterinary science, and in just one particular question in general. 07:50.476 --> 07:52.637 I don't know if this is out of focus or what's going on. 07:52.657 --> 07:56.438 I haven't really been looking at the screen here to see what it's finding. 07:56.478 --> 07:57.138 I think I look all right. 07:59.562 --> 08:01.425 So let me explain what's going on here, I guess. 08:01.465 --> 08:03.468 Maybe that's the most important thing to do first. 08:03.528 --> 08:04.870 Maybe I'll just blank this out. 08:06.712 --> 08:14.063 So we've got a dog named Ruby, and if Ruby wanted to come in here right now, Ruby could come in here, but I think she's just laying in the garage and feeling really... 08:15.279 --> 08:16.240 She's mama's dog. 08:16.301 --> 08:20.046 So, you know, when mama's gone, the Ruby doesn't really hang out. 08:20.666 --> 08:22.629 But Ruby wanted to come in here. 08:22.689 --> 08:23.911 Ruby could come in here. 08:23.971 --> 08:24.652 Ruby, come! 08:25.673 --> 08:26.614 But I don't think she will. 08:27.195 --> 08:30.940 Because she's sleeping in there and she's pretty hard to get off of that cold floor. 08:31.841 --> 08:34.382 Anyway, the point is that Ruby is nine. 08:35.163 --> 08:41.525 Ruby has not really been, per se, to the vet since 2016 when we got off the plane. 08:42.106 --> 08:51.750 The last reason she went to the vet was to check her titer for her rabies shot before she could fly into America, and so that was when she was one year and three months old. 08:53.010 --> 08:58.213 And since we've been in the United States, we will freely confess that we've never gone to a vet. 08:58.273 --> 09:05.596 Mostly because vets don't, the things that you hear about vets in America are very much true. 09:07.316 --> 09:10.638 They're not a place where you're taking a patient. 09:10.658 --> 09:12.579 You're not gonna get a lot of information. 09:13.599 --> 09:17.061 And there's, you know, this huge like chasm 09:18.501 --> 09:28.908 wide difference between the most informed vet tech and the most ill-informed vet tech, the most informed veterinarian and the most ill-informed veterinarian. 09:29.829 --> 09:44.178 And because this is a business, well there are other factors that are at play here and you can imagine that with pets not being people that there is a great deal more propensity for these kinds of 09:45.163 --> 09:49.707 other reasons and other motivations and other shortcuts to take over. 09:51.548 --> 09:54.791 And not, you know, I hate to say it like this, but patient care. 10:00.015 --> 10:04.178 So I'm just going to tell you the story the way that I was, I experienced it. 10:05.159 --> 10:06.700 And I hope you won't find it too boring. 10:08.105 --> 10:15.349 I don't know if I should switch over to the other camera and try to do something writing, but I just think it's interesting, maybe just fine to sit here and just talk about it. 10:16.129 --> 10:24.233 So Ruby, nine-year-old female, unfixed, unspayed, never had any puppies. 10:25.473 --> 10:26.614 And I'm a biologist. 10:26.654 --> 10:33.737 My wife is a biologist, albeit a plant biologist, plant physiologist, retired, if you will. 10:36.363 --> 10:37.964 You know, I thought I knew a lot about dogs. 10:38.005 --> 10:39.466 I thought I knew a lot about mammals. 10:39.526 --> 10:41.207 You know, I've been reading about them my whole life. 10:41.328 --> 10:43.389 I used to want to be a veterinarian way back when I was 12. 10:44.410 --> 10:49.495 And so it's just this thing, you know, I read James Harriot, all things, all creatures great and small. 10:49.515 --> 10:52.958 I mean, I thought about veterinarians as cool for a long time. 10:52.998 --> 10:54.540 I watched Dr. Pohl, the whole thing. 10:55.501 --> 11:12.254 And so what our primary strategy was here when she was sick was, you know, we wanted to go to a veterinarian that we could count on not to judge us for, you know, since 2016, not taking her anywhere for her eating raw meat, et cetera, et cetera, et cetera. 11:13.263 --> 11:15.245 So Ruby is pretty skinny. 11:15.346 --> 11:17.007 She's exactly 100 pounds. 11:17.108 --> 11:19.170 For as big as she is, that's pretty skinny. 11:20.131 --> 11:21.272 You know, you can feel her ribs. 11:21.292 --> 11:22.374 You can feel her spine. 11:23.395 --> 11:25.818 She can move around really nice when she gets excited. 11:25.858 --> 11:28.981 She's been a very, very, very healthy dog until this 11:29.722 --> 11:30.843 last estrus. 11:31.083 --> 11:48.915 So she, as most dogs do, if they are not fixed a couple times a year, it depends on the breed, will have this period of time where their behavior changes, they whine a little more, and they can drip from their genitals. 11:49.195 --> 11:56.680 And this dripping is not a large quantity, and it's something that the dog often cleans up after herself. 11:57.941 --> 11:58.801 And it's pretty normal. 12:01.624 --> 12:05.567 I mean, normal in the sense of this is how it works with a dog that you don't fix. 12:05.627 --> 12:08.469 And so some people make their dogs wear diapers. 12:08.509 --> 12:10.291 Some people just keep them in the garage. 12:10.331 --> 12:11.892 You know, there's lots of different solutions. 12:13.633 --> 12:16.456 My wife is pretty much, you know, treats our house like a barn. 12:16.496 --> 12:20.779 And so we just wear our shoes inside and, you know, Ruby comes in and out whatever door she wants. 12:20.819 --> 12:21.640 And so in this case, 12:22.260 --> 12:26.623 We try to keep her on her place and keep her clean and that kind of thing and encourage her to clean it up. 12:26.663 --> 12:35.088 And in general, after nine years, she's gotten very good at understanding that that's her job to clean that up if it's somewhere in the floor or whatever. 12:35.148 --> 12:36.289 But it's not perfect. 12:36.329 --> 12:42.473 And for a lot of people who aren't dogs, I guess, or dog people, people who aren't dogs, 12:42.893 --> 12:47.157 People who aren't dog people, this might sound like, oh my gosh, I can't believe you live like that. 12:47.197 --> 12:57.647 But if you live with a dog that's 100 pounds and has this much hair and everything, it's kind of a fact of life that a lot of what's in our house probably smells like her and we don't realize it anymore. 12:58.551 --> 13:04.136 People that aren't dog people probably come over and immediately know that like, oh my gosh, this dog dominates your life. 13:04.717 --> 13:06.959 But from our perspective, it's just the way it is. 13:07.019 --> 13:08.340 That's the way our house smells. 13:08.380 --> 13:09.861 That's the way the floor is. 13:09.921 --> 13:11.923 That's how often we have to vacuum and clean. 13:12.383 --> 13:19.129 That's why the vacuum needs to be cleaned regularly around the thing that spins too, because there's hair in there and yada, yada, yada. 13:19.990 --> 13:22.232 So we've been living with Ruby and other dogs. 13:22.372 --> 13:23.413 I had a Jack Russell. 13:23.473 --> 13:27.517 My wife had a Liam Berger mixed with a Brown Lab when we got married. 13:27.557 --> 13:37.465 And so then we had two dogs for the whole time that we had our first two boys until we basically lost them in the same six months or the same three months. 13:37.965 --> 13:39.387 They got old and decrepit. 13:40.296 --> 13:45.117 The big one died and then the little one we put down because she was getting blind and starting to walk into cabinets. 13:45.817 --> 13:47.298 And so Ruby is nine. 13:47.438 --> 13:48.198 She's healthy. 13:49.338 --> 13:50.259 She's unfixed. 13:50.599 --> 13:55.220 And I thought I understood most about mammals, but it turns out that I didn't. 13:56.500 --> 14:07.523 It turns out that dogs don't have a typical cycle like we imagine they might if we imagine that their cycle is similar to the females in our lives. 14:08.543 --> 14:10.084 Um, and I didn't know that. 14:10.544 --> 14:31.352 And in fact, what I find the first main point to make, um, that if I was writing something down, which I guess I could, um, is the, uh, the first thing I might write down is, is the idea. 14:31.833 --> 14:34.153 Um, what, uh, do I have here? 14:34.213 --> 14:37.495 Can I do this and then this? 14:38.615 --> 14:40.896 The first thing I might write down, and then this should work. 14:41.277 --> 14:41.457 Yeah. 14:42.037 --> 14:44.959 The first thing I write right down is the biology of female dogs. 14:45.019 --> 14:48.861 Now you might expect that if you were, sorry, I'll get bigger. 14:49.041 --> 14:56.265 If you were to walk into a vet office with a sick dog and you told them that you loved your dog, you took good care of her, you fed her raw meat. 14:57.646 --> 14:59.647 You know that they're very sensitive dogs. 14:59.667 --> 15:01.969 You take great care, you groom her and yada, yada, yada. 15:03.049 --> 15:03.810 And she's sick. 15:05.219 --> 15:15.802 You think one of the first things, if you said that, you know, we think that she has an infection of the uterus that the internet told us was called a pio metra or pio mitra. 15:15.882 --> 15:16.302 I don't know. 15:16.582 --> 15:19.582 They generally, I think it's pio mitra, but they shorten it to pio. 15:20.603 --> 15:22.763 Um, and so we, we want some help. 15:23.623 --> 15:33.706 Um, you would think that the, one of the first things that a vet would do would explain to you the, the whoops, the biology of the dog, but that's actually not what happened. 15:34.686 --> 15:34.786 Um, 15:36.434 --> 15:40.776 In fact, the first couple of vets that we talked to gave us no information about that. 15:40.836 --> 15:48.820 And the one that tried to give us information about that basically gave us the wrong information, or as far as we can tell now, in retrospect, the wrong information. 15:48.880 --> 15:58.645 Now, let me preface the whole long-winded story by saying that, of course, you can imagine that yours truly was reading like a madman once we realized what this was. 15:59.886 --> 16:04.949 I was trying to do my best to use my access to PubMed to figure out if I could teach myself 16:06.110 --> 16:12.679 what a pyometra was and whether it was treatable and what kinds there were and how people did it and yada, yada, yada. 16:13.600 --> 16:19.749 And what you find on the internet is that it's a deadly condition that can only be treated by surgery. 16:21.257 --> 16:25.498 You just have to take your dog in and the uterus has to come out. 16:26.499 --> 16:31.400 And this is an emergency surgery because dogs can die from pyometria. 16:31.420 --> 16:34.381 And I'm not at all arguing with that, of course. 16:34.421 --> 16:37.422 I'm not suggesting that that is not the case indeed. 16:38.783 --> 16:47.766 What I am suggesting, however, is that there is a possibility that the default treatment 16:51.815 --> 17:05.406 strategy that most vet techs and in fact most veterinarians know as the rule is that when a dog is having a pyometra that they need to have, they need to be spayed. 17:06.793 --> 17:20.941 And what's extraordinary about this, of course, is that Ruby is a nine-year-old dog, so if you had insurance for a dog like this, it's even possible, or even likely, that the insurance would reject the whole idea. 17:21.001 --> 17:26.185 Number one, because she might die, and number two, because she's old, and if she's only expected to live to be 11, 17:27.265 --> 17:38.908 then doing a multi-thousand dollar surgery on this dog from the insurance company's perspective might not be risk-benefit rewarding enough to justify it. 17:38.928 --> 17:39.928 They might just deny it. 17:41.009 --> 17:44.349 And so what's interesting though is that this is not what happened to us. 17:44.409 --> 17:50.731 We heard a unanimous from multiple calls, like many calls, that there's only one thing to do. 17:51.843 --> 18:03.628 and that open or closed, which is something that they didn't distinguish between, explain the biology of at all, whether or not the pyometra was open or closed, didn't matter. 18:04.348 --> 18:07.409 She had to have her uterus out and pretty much immediately. 18:08.249 --> 18:09.330 There's nothing else you can do. 18:10.785 --> 18:16.629 And now, of course, after searching the internet, we found out that that's not the case at all, that there are plenty of things you can do. 18:17.129 --> 18:27.536 Of course, the default would not to be, in a similar situation, would not to be remove the uterus of a horse, or remove the uterus of a cow, or remove the uterus of, you see? 18:29.878 --> 18:38.844 And so, it very quickly became obvious that these people weren't really thinking, they were just getting mad at us for suggesting that there might be something else we could do. 18:40.865 --> 18:42.146 besides put your dog to sleep. 18:44.068 --> 18:47.371 And so this is pretty extraordinary already because we were really frustrated. 18:47.431 --> 18:51.074 We went to them with the idea that she can't. 18:52.202 --> 18:55.065 that Lienberger's really don't do well with narcotics. 18:55.165 --> 18:58.248 And so we're really worried about, we don't want to spay her. 18:58.368 --> 19:00.049 Can we just give her antibiotics? 19:00.129 --> 19:04.674 And is there a way to do a uterine lavage or something like this? 19:04.794 --> 19:07.256 Because maybe they do that in horses or in cattle. 19:07.816 --> 19:10.599 Can we give her, is there anything else that we can do? 19:10.659 --> 19:13.662 And the unequivocal answer was, of course not. 19:16.109 --> 19:44.798 And so what else was very interesting about this journey through what is pyrometra and what can be done about it were several lectures on YouTube or papers on PubMed and a general realization that there is no real good reason other than surgery can be quite successful in young dogs to compare a 19:47.302 --> 19:53.984 a spay in old age with a spay in a puppy because that's what's done a lot in America now. 19:54.004 --> 20:12.009 And in fact, if I recall correctly with my dog, Daisy, my little Jack Russell from way back when, when I was still in Chicago, that dog, I think was fixed early enough where essentially she never, never went through, I guess what we would call puberty, the full development with hormones and everything. 20:12.069 --> 20:15.110 I don't think happened in that dog because she was fixed very early. 20:16.127 --> 20:32.246 And the upsides of this, of course, are, in theory, she can never have a pyometra, which can kill her, and she will never have babies, and she will never have an unplanned pregnancy, and et cetera, et cetera, et cetera. 20:32.286 --> 20:32.967 That's the idea. 20:33.007 --> 20:33.848 That's what you're told. 20:34.429 --> 20:35.170 So do it early. 20:37.765 --> 20:46.570 And it's extraordinary now in retrospect to realize how I just went along with it when I was 20, whatever, and got Daisy as a puppy. 20:46.610 --> 20:48.951 And it just made, you know, whatever the vet says, okay, I do it. 20:49.011 --> 20:51.413 You know, I just want to walk the dog. 20:51.673 --> 21:02.119 And so it's an extraordinary journey that I think all of us are on now as the different layers of this illusion of, 21:03.286 --> 21:06.347 of high fidelity understanding is being broken. 21:06.507 --> 21:29.951 And what I find extraordinary is, although I'm sure there are lots of people who already knew this with regard to horses and dogs and veterinarians and whatever, because we just have not been going to the vet and because our dog is just healthy and we just feed her raw meat and worry about grooming her and keeping her clean and healthy. 21:31.854 --> 21:35.298 that we weren't aware of what's going on in America. 21:35.358 --> 21:42.446 But for example, the very first time that we were told what would happen if we spayed Ruby was between two and $6,000. 21:47.082 --> 21:54.929 Within two days of calling people, this number had already risen between 4 and 8K. 21:55.990 --> 22:07.600 And when we finally decided that something really might need to be done, because we went to a veterinarian who was supposed to be holistic and alternative, 22:08.300 --> 22:23.269 And she told us that there was no holistic alternative because she poked a swab inside of the dog and then looked at that under a scope or something and decided that alternative treatments were not appropriate for Ruby. 22:23.809 --> 22:24.909 that it was already too late. 22:25.650 --> 22:34.193 And in fact, our concern about the narcosis and the fact that the dog is very sensitive means that she can't do the surgery. 22:34.273 --> 22:46.597 And instead, we had to go to a specialty doctor that could have all the necessary equipment to cope with a dog that wasn't dealing with anesthesia or something like that. 22:47.018 --> 22:49.278 And so the cost went up to nine to $11,000. 22:51.772 --> 23:06.266 And so on Friday of last week, we were basically told that yes, Ruby could come in and they would evaluate whether they needed to do it right away, which would be more expensive, or where they could wait till Tuesday and it might cost between $9,000 and $11,000 to remove the uterus of a dog. 23:11.431 --> 23:28.886 And so the lucky thing is, is that the vet that we went to before we were told that she couldn't do it anymore, after we told her about whatever, and had this conversation about alternatives that were not appropriate for her, apparently, she gave us antibiotics. 23:31.064 --> 23:53.244 my wife had already started treating Ruby with a internet concoction that was composed of honey and turmeric, vitamin C, and by my request, a couple times she got ivermectin, which I thought would be kind of funny to add into the story because 23:53.823 --> 23:56.525 then everybody would blame her cure on ivermectin. 23:56.865 --> 24:04.790 But I'm not going to tell you that she didn't get it, but she didn't get it as much as she got, of course, she got antibiotics just like Joe Rogan did. 24:06.031 --> 24:09.513 And those antibiotics were two different kinds and she's still on them now. 24:10.053 --> 24:13.716 And so attributing any of her recovery to ivermectin as opposed to 24:14.336 --> 24:24.121 the raw honey, the turmeric, the vitamin C in large dose three times a day, and the antibiotics on two spectrums is kind of ridiculous, right? 24:24.201 --> 24:30.064 But if you wanted to, and if I wanted to, I could tell you that I gave my dog ivermectin and she's fine now. 24:32.765 --> 24:36.007 If I was being really honest, I would also have to tell you that I prayed a lot. 24:36.974 --> 24:39.597 And I prayed a lot for very specific things. 24:39.657 --> 24:47.485 Like if there was any way that they could spare my dog down here for a couple more years, I would really be grateful, even though I know I don't deserve it. 24:49.287 --> 24:57.155 So there's no way for me to sit here and tell you that that wasn't the reason why my dog is in the garage sleeping very soundly right now. 24:59.042 --> 25:08.030 So I just give you the list of things that we did to avoid the nine to $11,000 surgery that I guess they assume we have insurance for or something. 25:09.411 --> 25:21.421 Because you can go on YouTube right now and look this, this pile Mitra up and you can look in the comments from a couple of years ago and you can find quotes, 800, $1,200. 25:21.521 --> 25:22.062 Don't worry. 25:22.542 --> 25:25.305 Those, those surgeries, you can find a vet that will do it for $2,000. 25:29.625 --> 25:42.373 So we are entering a very dark world right now because it took us a very long time despite our best efforts to find anyone who understood the idea that a nine-year-old dog that's as healthy as a horse 25:43.607 --> 25:46.028 might be worthy of alternative treatments. 25:46.248 --> 25:56.012 And the crazy part about it is, is this biology apparently, according to our last vet, and now the one that we trust, you know, she's telling us what we want to hear. 25:56.072 --> 25:59.854 So maybe we're biased, but the biology was not explained correctly. 26:02.715 --> 26:07.297 So I'm just going to put a question mark up here because it's really like, they didn't tell us the biology of the dogs. 26:07.337 --> 26:11.179 They just said, no, it's surgery and surgery will cost, 26:13.462 --> 26:14.282 this much, right? 26:15.203 --> 26:16.564 So what's the real biology? 26:20.986 --> 26:24.188 Of course, the real biology is the open and closed PIOs, right? 26:24.248 --> 26:24.969 That's what that is. 26:25.529 --> 26:31.612 And open and closed PIOs is really interesting because again, the biology of dogs, I didn't understand it. 26:33.533 --> 26:37.376 And so what's cool about this is that I learned something again, and that's what it is. 26:37.556 --> 26:41.118 You just take responsibility for knowing and then you learn things all the time. 26:42.031 --> 26:47.533 And so in taking responsibility for knowing and understanding the biology that, shit, where did that go? 26:50.094 --> 27:05.881 Understanding the biology of my dog before I took her to a veterinarian so that I could protect her from ignorance, I still wasn't able to get where this vet got me, which I find got us, I should say, because it's me and Verla. 27:08.444 --> 27:15.606 Because what's so important to understand and what I think is so cool about this, and I'm wasting time or I'm wasting a lot of people's time, but I don't care. 27:15.626 --> 27:17.026 I'm trying to get back into the groove here. 27:17.767 --> 27:33.271 The idea of informed consent is that this vet felt very comfortable, almost obliged to educate us about what choices we were making, what choices were available to us in the context of us being the people that we were. 27:34.386 --> 27:46.930 So we had a real butting of heads at first because I've got a big mouth and that's a lot of the reasons why I don't make these phone calls because I very quickly can get into this, you know, attack mindset. 27:47.010 --> 27:51.872 I'm just not very good right now from the last four and a half years or so. 27:52.898 --> 28:02.325 And so one of the first things that this wonderful veterinarian said to us is that she hasn't had a rabies shot since she got off the plane. 28:02.345 --> 28:04.927 We're like, no, but we're not here to talk about vaccines. 28:04.947 --> 28:06.649 She's not getting any shots today. 28:07.469 --> 28:10.231 And you could see that at first she was very much 28:11.752 --> 28:12.893 not very happy with that. 28:12.933 --> 28:14.614 We didn't make eye contact at that point. 28:14.654 --> 28:19.657 And she just said, well, I'm just letting you know from a legal perspective that in Pennsylvania it's required. 28:19.717 --> 28:30.484 And so if it's not in her records and you have a problem and somebody, you know, the police come, for example, you just need to know that could be a very big problem, but let's not, we're not going to talk about that now. 28:30.544 --> 28:30.804 Indeed. 28:31.923 --> 28:47.914 Now, I don't remember the exact words, but she said the legal aspects of it, but then didn't say that, so, you know, take your dog out of here, or I'm judging you now or anything like that, but she totally brought it back to baseline again, which I also felt. 28:49.735 --> 28:59.342 And it was magical because I know for a fact, had I gone to any of these other places that Fearla had already been, this would have been an unmitigated disaster. 29:01.001 --> 29:19.377 because this woman never felt under threat by our knowledge, never felt under threat or worried that we were somehow crazy people, but instead respected us from the very beginning, evidence being the incredibly healthy, well-groomed, beautiful nine-year-old dog that's laying calmly on the floor. 29:21.499 --> 29:21.759 Anyway. 29:22.799 --> 29:29.941 What I found very exciting was that the real biology of this is much more complicated than open and closed. 29:30.961 --> 29:39.244 The other vets that we talked to told us that the danger was that she had an open pyometra and that if it closed, 29:39.744 --> 29:45.906 then she would have a very big problem because a closed pyometra is an infection inside of a closed uterus that can't drain. 29:46.326 --> 29:50.967 And so the pus fills the uterus until it eventually explodes or leaks into circulation. 29:51.427 --> 29:52.908 And then you have sepsis and you die. 29:53.408 --> 30:02.350 Not dissimilar to how I could have in theory died from the infection of my skin in my leg a few weeks ago, if I hadn't had antibiotics. 30:03.710 --> 30:04.831 And so this, 30:05.950 --> 30:10.592 pus-filled uterus is what a pyometra is. 30:11.353 --> 30:15.675 And the reason why it occurs in dogs is more complicated than I knew. 30:16.415 --> 30:22.938 And we had been and talked to multiple veterinarians who could not bring us to that understanding. 30:23.018 --> 30:28.221 So what's really interesting is that this understanding is also what underlies 30:31.488 --> 30:36.310 the ethical principle and argument for using alternative treatments to surgery. 30:36.370 --> 30:39.532 So what's the real biology of a pyometra? 30:39.572 --> 30:45.935 So if you, if you just think of a dog and the hind legs, okay. 30:46.275 --> 30:49.937 And then you think of the uterus, the uterus is something that if you could draw it in 30:50.965 --> 31:15.731 in shape it's just kind of like two horns and so if you were looking from above like this from from above from down then the two horns would be i believe something like this you know they're just they but they curve and because the uterus has you know some shape to it um then here's the opening out here and so this is not drawn right because there wouldn't be one on the bottom and one on the top they're like left and right 31:16.925 --> 31:22.206 But if you look from above, it would look like this in the back of the dog, and then here would be the tail, right? 31:22.707 --> 31:25.807 So this is the uterus, not drawn to scale or anything like that. 31:25.847 --> 31:32.429 They're about a centimeter and a half across in a healthy dog in Ruby. 31:32.469 --> 31:34.790 But because she has old dogs, she has some cysts. 31:35.350 --> 31:40.951 And because she's never had a litter, the wall of the uterus is thicker than a younger dog. 31:41.631 --> 31:44.332 And what's really interesting is that unlike your 31:45.032 --> 31:54.298 your females, like we know best, our female humans, that shed their uterine wall every estrous cycle, every menstrual cycle. 31:54.818 --> 31:57.700 The wall of the uterus, the uterine lining is shed. 31:57.740 --> 32:03.844 And that's what the menstrual cycle is that from a man's perspective that we understand, right? 32:03.884 --> 32:06.866 That's the reason why you need to clean up. 32:08.407 --> 32:11.569 And that process doesn't happen in dogs. 32:13.103 --> 32:14.365 It's something that I didn't know. 32:15.908 --> 32:17.691 That process doesn't happen in dogs. 32:17.731 --> 32:19.635 It only happens when they give birth. 32:20.537 --> 32:24.524 And so a dog that has never given birth has had, and I don't know what the right 32:25.476 --> 32:27.396 right layer of the uterus is. 32:27.456 --> 32:35.398 But that uterus and uterine wall has been thickening and thickening every estrous cycle or every whatever cycle you would call it. 32:35.438 --> 32:36.498 Again, I'm not a veterinarian. 32:36.538 --> 32:41.039 I'm just an armchair biologist on the internet with a dog and with kids. 32:41.560 --> 32:47.981 And this infection, okay, it fills the whole uterus with pus. 32:48.081 --> 32:52.402 And if the cervix is closed, which it is closed all the time in a dog, 32:53.575 --> 32:54.336 It's always closed. 32:54.376 --> 32:56.759 The cervix only opens when you need to give birth. 32:58.281 --> 33:03.487 And so, if you get an infection in here, because again, you're, you have 33:05.614 --> 33:10.736 The cycle happens, you become more vulnerable to infection. 33:10.776 --> 33:23.520 And also, apparently, our veterinarian told us that there is something called a uterine milk, which is produced, which is like a highly nutritious substance, which is very favorable to bacterial growth. 33:24.060 --> 33:29.121 and also favorable to the deposition of any fertilized embryos or something like this. 33:29.201 --> 33:44.224 And it was only very cursorily explained, but suffice it to say that during this process, the uterus itself becomes more vulnerable to infection because it's a really warm and juicy and nutritious place. 33:44.904 --> 33:50.245 And usually that infection is actually infection of normal flora, 33:51.645 --> 33:55.726 E. coli that are present in the vaginal canal of the dog. 33:55.766 --> 34:08.490 And so again, I'm not going to draw all kinds of pictures here, but suffice it to say that I didn't know the anatomy of my dog and I didn't know where the cervix was and I didn't know what was on the outside and I didn't know where the urine ureter was and all this other stuff. 34:10.291 --> 34:16.533 But suffice it to say that this infection here, if it happens and it cannot come out, 34:17.568 --> 34:22.294 There's no way for it because there's no process by which this material comes out. 34:23.435 --> 34:29.282 Then the propensity for this to become a very serious infection and go to sepsis is very, it's very high. 34:30.126 --> 34:32.148 And so lots of dogs do die from this. 34:32.208 --> 34:42.237 And a closed pyometra is something where nothing is, you don't see any pus coming out, but the dog just has an incredibly swollen uterus. 34:42.537 --> 34:47.622 And then all these other symptoms, which can be vomiting and lots of drinking and panting and this kind of thing. 34:47.642 --> 34:48.643 And then you just take them to the hospital. 34:49.195 --> 34:50.336 the vet and you find this out. 34:50.736 --> 34:53.537 Ours was that there was pus coming out. 34:53.597 --> 35:00.280 So no more illustration other than that, but it was a quantity and we knew, and then we Googled it and we found out that it's an open pymetra. 35:00.821 --> 35:11.486 What our new vet told us, our latest vet, the one that we trust the most because she seems to also understand the biology, is that for some dogs, the cervix can open. 35:12.987 --> 35:17.931 And if it opens, then it will stay open until she goes through her next estrus. 35:17.971 --> 35:20.073 So this can drain out. 35:21.354 --> 35:31.102 And so the alternative treatment is to essentially use hormone to make her go through a kind of fake birth, if you will. 35:32.136 --> 35:48.804 And so I started this morning injecting her with a hormone that will make her have diarrhea and make her salivate and make her vomit a little bit or, you know, be nauseated and also cause the uterine wall to shed as if she was going to give a birth. 35:48.924 --> 35:54.567 This would be also the same process that you would use to get rid of a pregnancy in a dog that you didn't want. 35:55.868 --> 36:05.194 And so over the next seven days, we're going to try and use this to expel the infection and expel the extra material that can come out. 36:06.095 --> 36:10.658 And at the same time, she's going to be on antibiotics and this vet expects her to make it. 36:10.718 --> 36:18.783 Now, she also expects that there's a fairly high chance that on the following estrous cycle, we could have the exact same problem again. 36:18.803 --> 36:21.645 And so we may have to treat it again. 36:21.685 --> 36:24.287 We may have to make this choice again, but nevertheless, 36:27.249 --> 36:49.979 We are at the stage where somebody who gave us a swab with no ultrasound and no x-rays and no real lab tests told us that we had no alternative but an $11,000 surgery versus somebody who took the time to talk to us for an hour and 15 minutes, did a sonogram or a 36:51.920 --> 36:52.400 Is that what you call it? 36:52.480 --> 36:55.463 Ultrasound, excuse me, not sonogram, I guess it's ultrasound. 36:56.063 --> 37:02.328 Ultrasound and showed us that it was only one side of the uterus, showed us that it wasn't crazy distended yet at all. 37:04.009 --> 37:09.773 And that she expected Ruby to be fine this time around. 37:10.634 --> 37:15.698 And so it's an extraordinary place to be now because of course we have all of these 37:17.588 --> 37:20.129 this new level of understanding of how to care for our dog. 37:20.149 --> 37:36.675 We have a new level of understanding of the biology of our dog, but more importantly, we found this little tiny example of at least 20 professionals that I'm sure are in that job because they love animals. 37:36.775 --> 37:45.479 I'm sure they are in that job because they love biology that actually don't understand the biology of female dogs. 37:46.886 --> 38:04.795 that don't understand the biology of open and closed pyometras, that don't understand the possibility that the idea that I had, which was flush this uterus out, is not something that this vet that we talked to and now trust thought was a good idea. 38:05.015 --> 38:09.818 Even though she could tell us that she had a colleague actually that had done a 38:11.184 --> 38:17.806 a paper about going in through the abdomen and perfusing the uterus by making a hole in it. 38:18.286 --> 38:25.869 So you would, he would essentially go in through the abdomen and then make a hole right here and then perfuse out. 38:26.609 --> 38:28.790 And I guess you had to do it on both horns then. 38:29.330 --> 38:32.072 and then perfuse out with some kind of saline rinse. 38:32.533 --> 38:37.156 And apparently that worked, but that would be almost as invasive as doing the surgery. 38:37.176 --> 38:46.904 Well, not almost, but it would be similarly invasive because you'd still have to put the animal under, there would still be an incision and incisions in the uterus, and that would all have to go without infection. 38:48.525 --> 38:54.610 But nonetheless, this was an alternative treatment because again, you could maybe save the uterus so that this animal could breed again. 38:54.650 --> 38:56.292 And that's why we ended up going to this 38:58.792 --> 39:04.182 this person because I had this crazy idea that why can't we just rinse it out? 39:05.284 --> 39:11.236 Especially because this other vets told us that you can give her antibiotics, but the antibiotics won't go to her uterus anyway. 39:12.318 --> 39:15.700 And so, then my first thing was, well, why can't we get them to the uterus? 39:15.780 --> 39:16.560 I don't understand. 39:16.700 --> 39:23.604 And so, anyway, when we were talking about this, she told me this story about a paper that one of her colleagues had done. 39:24.304 --> 39:31.248 She had been in academia as a vet during COVID, and then that ended during COVID. 39:31.926 --> 39:40.373 And although she didn't give me any details, it did feel like as though one of the reasons why she left is because she was just tired of the students and the lack of thinking. 39:41.454 --> 39:44.116 And so she wasn't surprised with our story. 39:44.637 --> 39:46.278 She was surprised with the 9 to $11,000 quote. 39:49.420 --> 39:54.603 Her explanation of our dog and her biology was absolutely spectacular. 39:55.144 --> 39:59.986 She had a very talented vet tech that was following her around and doing a lot of the work. 40:00.286 --> 40:08.671 And when we left, I said, do yourself a favor and try to apprentice with this woman as long as they will physically allow you to do it. 40:10.232 --> 40:15.034 Because she wasn't a young lady, you know, she was as old, older than me, I would guess. 40:16.824 --> 40:20.148 And very, very, very, very, very knowledgeable. 40:21.590 --> 40:28.959 And what I really liked a lot was when she figured out or when we, you know, kind of let her know that we were doing a lot of the reading and that we weren't complete monkeys. 40:30.060 --> 40:34.746 She took it way farther than she needed to take it, and especially with regard to explaining 40:35.787 --> 40:38.388 the hormone that we're using now and the dangers of it. 40:38.448 --> 40:43.231 Like, you know, don't let your kids or yourself get poked by this needle, that kind of thing. 40:44.551 --> 40:47.252 It's really crazy though, ladies and gentlemen. 40:47.292 --> 40:52.255 It's absolutely crazy for me to humbly realize that, you know, what did I expect? 40:53.675 --> 40:54.636 What did I really expect? 40:54.656 --> 41:01.279 Did I think that I was going to go to a vet and I would get the informed consent that I can't get at my own pediatrician? 41:02.540 --> 41:03.961 course, I shouldn't have expected that. 41:04.001 --> 41:05.621 But that's kind of what I thought I would get. 41:06.602 --> 41:22.229 I kind of thought that my wife would would, upon searching for an alternative vet, that she would find somebody who would understand that not every answer is a knife, not every every nail needs a hammer or whatever the right analogy is. 41:22.309 --> 41:25.190 And wow, I mean, wow. 41:26.291 --> 41:30.112 It just kept going up the quote for what was necessary just kept going up. 41:30.152 --> 41:31.373 That was the only consistent 41:32.412 --> 41:33.132 sort of trend. 41:35.254 --> 41:40.837 And so the trick was here is that this is a hospital that deals with breeders. 41:40.937 --> 41:46.520 So we saw a guy there that had a whole bucket full of Persian cat kittens, which was really hilarious. 41:47.920 --> 41:49.541 Shout out to, what was his name? 41:49.681 --> 41:50.762 Smushed Face. 41:51.742 --> 41:52.703 Smushed Face 41:54.226 --> 41:57.353 Persians I think it's what it is smushed face Persians. 41:57.393 --> 42:04.249 I've never looked it up, but I'm Facebook apparently that's the dude They were really beautiful little cats and then there was also a lady that was bringing her new 42:05.390 --> 42:07.652 new puppy Dobermans in there. 42:08.213 --> 42:16.340 And so the reason why we went there, long story short, is because I had this idea that, you know, why can't we irrigate, you know, and I don't want to do it myself. 42:16.400 --> 42:18.282 Maybe we can find somebody who will do it. 42:18.803 --> 42:24.868 And so this vet was Reproductive Services, and so Phila kind of called and said, hey, we got this 42:25.549 --> 42:52.587 female and you know this is our story this is why we don't want to put her under the knife and we saw that you guys do this would do you have any could you help us and they just made an appointment an hour and a half later with this woman we were leaving feeling like a quadzillion dollars and it was because like the old adage goes you better have a mechanic you better have a lawyer you better have a doctor and if you've got a 42:54.234 --> 43:09.887 giant breed dog you better darn well be sure to have a vet you trust because otherwise on Friday already you know she could have been 50% likely dead on the table or a few days later from infection 43:13.826 --> 43:17.908 And we would have been down, you know, 10 grand or something like that, or in the debt, 10 grand. 43:17.948 --> 43:21.630 I mean, what kind of, what kind of choice is that to offer people? 43:21.690 --> 43:28.054 And, and I don't think it's actually very realistic from the perspective of, you know, what I can tell what I know. 43:30.375 --> 43:32.376 It's just extraordinary, you know, this, this. 43:35.202 --> 43:44.587 this very much is in sync with this idea that you can't expect informed consent from your pediatrician, you can't expect informed consent from your vet anymore. 43:45.208 --> 43:57.374 It is actually imperative that all of us take responsibility for understanding before we seek expert advice, before we seek help. 43:58.995 --> 44:02.197 And that is what I think right now makes books 44:03.513 --> 44:07.275 and primary literature and downloading things and printing things. 44:08.036 --> 44:09.737 Very, very, very important. 44:11.238 --> 44:15.100 Because the best way to educate yourself is to grab a book and read it. 44:16.501 --> 44:18.883 Go outside in the sun and read. 44:19.563 --> 44:23.646 Wake up in the morning, go out on the porch and read. 44:25.127 --> 44:26.488 None of us are doing it anymore. 44:26.628 --> 44:29.790 Well, I am, but none of us are doing it anymore. 44:29.950 --> 44:31.731 I have a very strict regiment of 44:32.668 --> 44:39.417 engaging with X for fun and for prodding to make sure that people have to keep working. 44:42.300 --> 44:51.792 And then after that, I'm really trying very hard to get into a ridiculously good habit of being present regularly here. 44:53.436 --> 45:01.498 But, you know, if you're a dog owner, you know what we were going through this weekend, you know what we were looking at, because everybody was telling us that it was time and it happened to happen right now. 45:01.558 --> 45:05.579 And if the longer you wait, the more likely it was to get very, very, very dangerous. 45:08.000 --> 45:18.623 And she was sick, you know, I mean, before she started taking the antibiotics and honey and turmeric and vitamin C and ivermectin, she was very sick and her nose was hot. 45:18.703 --> 45:22.764 Her ears were hot and she was huffing and, you know, wobbly and the whole thing. 45:23.479 --> 45:33.281 And now when V comes home from her class, Ruby will stand up and run out there and be as waggy as she was a year ago. 45:34.121 --> 45:45.844 So it's really extraordinary the luck that we've had, that my prayers were answered in the form of either a combination of 45:47.327 --> 45:55.651 natural antibiotics, and probiotics, and pharmaceuticals, and whatever, and prayer. 45:56.252 --> 45:57.452 That's all I can really tell you. 45:58.693 --> 46:04.276 So keeping this going, the other thing that I wanted to do was look at this. 46:06.177 --> 46:07.157 Let me see if this works. 46:08.478 --> 46:13.000 Look at this video and the associated paper with this. 46:14.980 --> 46:20.541 switching gears here, I will... this would be this one, right? 46:20.581 --> 46:20.781 Yeah. 46:21.541 --> 46:29.303 I will say that on TWIV a couple days ago, they covered this article, which is an article about norovirus. 46:29.363 --> 46:35.364 If you're not familiar with norovirus, norovirus is a virus that they apparently find in the guts of children. 46:36.264 --> 46:40.465 And if we go down here, we can read that human noroviruses are the leading cause of 46:41.897 --> 46:42.717 I see you over there. 46:43.378 --> 47:00.005 Leading global cause of childhood diarrhea and acute gastroenteritis in all age groups attributed to a remarkable 685 million cases and the deaths of 50 to 200,000 young children each year. 47:00.025 --> 47:10.250 Those are some pretty extraordinary stats from a virus that essentially we don't even talk about before very, very, very recently. 47:11.007 --> 47:16.688 I heard about it a little bit when we were living in Norway, but only in the context of the daycare centers. 47:17.849 --> 47:22.430 There were a couple times they talked about how norovirus was going around the daycare centers. 47:22.450 --> 47:25.491 I have the feeling that this might be... Hey! 47:25.611 --> 47:26.531 Come here, Bebert! 47:27.251 --> 47:28.471 Hey! 47:28.631 --> 47:29.492 Come and say fajir. 47:30.232 --> 47:30.892 Hello, babe. 47:31.612 --> 47:32.052 How are you? 47:32.212 --> 47:33.293 Careful, don't trip on those. 47:33.993 --> 47:34.453 Hello, babe. 47:35.305 --> 47:37.346 This is the big, big happy dog. 47:38.587 --> 47:39.188 Here she is. 47:40.068 --> 47:40.749 Coming in here. 47:40.769 --> 47:41.529 Hutso, babe. 47:42.070 --> 47:43.030 I'm glad you came in here. 47:43.971 --> 47:47.434 Wanted to say hi, but I didn't want to call you in here, because you know you were sleeping and stuff. 47:48.174 --> 47:48.374 Yeah. 47:48.795 --> 47:49.515 Hutka down, babe. 47:53.438 --> 47:54.058 That's her. 47:54.078 --> 47:56.780 Oh, this feels good, huh? 47:58.862 --> 47:59.382 Ja, is he good? 48:08.482 --> 48:10.468 Don't trip over the books. 48:10.488 --> 48:10.829 Sorry, honey 48:17.642 --> 48:19.143 Yes, so what was I saying? 48:19.203 --> 48:19.643 Here we go. 48:21.424 --> 48:22.505 So anyway, norovirus. 48:22.545 --> 48:23.986 Yes, yes, yes, yes, that's right. 48:24.666 --> 48:28.068 What I want to watch is the idea of what's going on here. 48:28.128 --> 48:29.949 Now remember, we're going to go all the way back. 48:32.170 --> 48:34.852 This is Biology 101, right? 48:34.932 --> 48:45.498 So I want to recall again, if you don't mind, the idea that in Biology 101, which I've been trying to introduce over the last three programs, 48:46.938 --> 48:57.063 They typically introduce biology in terms of different layers of analysis, different levels of analysis. 48:57.583 --> 49:05.647 And they might go from genes, to RNA, to protein, to cells, to tissue, to organs, to organism, to population, ecosystems, biosphere. 49:06.227 --> 49:15.312 And then what I tried to explain over the last couple of days was that reductionist science and the strategy of using reductionist 49:17.071 --> 49:35.340 a strategy of a reductionism has propelled us into a level of false understanding that is based on selecting a few variables from a couple different levels of analysis and then telling a story about them. 49:35.380 --> 49:38.601 And what I tried to say to you is that I'm a PhD. 49:38.681 --> 49:41.863 I did my postdoc and stuff in the mouse and in rats. 49:42.762 --> 49:45.363 in the brain on channels. 49:46.183 --> 49:47.343 And so that was my thing. 49:47.403 --> 49:52.304 I was going to tell stories about the brain of mice and channels. 49:53.105 --> 50:07.028 So in SK channels, glutamate channels, GABA channels, whatever it was that I was going to talk about, that would have been my shtick for the remainder of my career, combining questions in a mouse brain about channels. 50:07.950 --> 50:20.813 and then trying to go all the way back to talk about how organisms work and how disease works and how dysregulation of the brain leads to disease or leads to Alzheimer's or Parkinson's or any of these things, right? 50:20.853 --> 50:21.613 That's the idea. 50:22.033 --> 50:36.396 Maybe even which channels involved in autism could be asked simply by taking a mouse, saying you're studying its brain and looking at a channel that might be involved in autism because its gene has been associated with autism. 50:37.728 --> 50:47.213 And so I tried to use an analogy of the exhaust of an automobile and correlating the heavy metal content or the temperature with the speed of the car. 50:47.734 --> 50:55.038 And you could be a biologist for a long time making those correlations and teach students how to do it and get grants and et cetera. 50:55.058 --> 51:05.584 And the same basic thing is done with the irreducible complexity of our own biology through a reductionist methodology. 51:06.345 --> 51:20.389 where a couple variables from a couple different levels of complexity are chosen and then monitored, and then correlation with outcome is misconstrued as understanding, misconstrued as insight. 51:24.350 --> 51:32.473 And so one of the things that is often missing from these investigations is not only the limitation of this reductionist 51:33.789 --> 51:47.918 strategy, but also the limitation of this one-dimensional description of the layers of complexity, because actually the layers of complexity change in their physical manifestation. 51:47.958 --> 52:02.989 The physics of them change as we move through these different, you know, what are basically arbitrary divisions in complexity or arbitrary divisions in analysis are not 52:03.874 --> 52:09.458 They're not equivalent physics in terms of size and in terms of time and in terms of scale. 52:10.719 --> 52:11.539 Which means what? 52:11.880 --> 52:13.701 You can't just be a biologist. 52:13.741 --> 52:15.602 You must also be a chemist. 52:16.102 --> 52:27.710 You must also be a physicist, at least insofar as understanding the limitations on biology placed on it by physics, the limitations of biology placed on it by chemistry. 52:28.411 --> 52:31.313 One must have these prerequisite understandings 52:32.779 --> 52:41.064 before you can usefully pursue even a rudimentary appreciation of this irreducible complexity. 52:41.164 --> 52:58.735 And the trick of Biology 101 at universities around the world right now is to suggest to the students, to make the students accept the idea that this reductionist selection, this reductionist philosophy has resulted in the progress 53:00.586 --> 53:02.807 of mankind's understanding of himself. 53:05.588 --> 53:06.108 That's wrong. 53:06.748 --> 53:08.869 Ruby, you're starting to do laps around here. 53:08.889 --> 53:10.089 I don't know what's going on. 53:10.129 --> 53:10.889 What's happening here? 53:10.909 --> 53:12.510 Why are you going back and forth all the time? 53:13.210 --> 53:15.511 You're starting to seem like you're very healthy. 53:16.331 --> 53:17.252 I don't know what's going on. 53:17.292 --> 53:18.752 You're sleeping all the time. 53:19.572 --> 53:22.874 Now you're freaking out, coming in here, bothering me. 53:22.894 --> 53:24.694 I'm trying to do some work. 53:25.354 --> 53:30.116 I can't do work if there's going to be some great big huff and puff bat dog coming in here all the time bothering me. 53:30.782 --> 53:31.522 You big troublemaker. 53:32.242 --> 53:32.623 Yeah, you. 53:33.203 --> 53:48.787 One of the very interesting side effects of the drug that I gave her today, the hormone that I gave her today, is apparently when she has puppies, if she were to have had puppies in this life, she would have dug a hole for them. 53:49.608 --> 53:55.049 Because I've never seen her dig like she dug this morning after that first injection. 53:55.109 --> 53:59.171 And I guess it's only going to get worse because the dose is supposed to ramp up over the next few days. 54:00.431 --> 54:00.611 Huh? 54:01.263 --> 54:03.303 Yeah, the third day is supposed to be the worst. 54:04.003 --> 54:12.745 So you have another injection tonight at seven o'clock, and then a little more tomorrow twice, and then a little more on Wednesday twice, and then it goes down again. 54:12.845 --> 54:15.105 So if we have a bad day, it's going to be Wednesday, huh? 54:15.806 --> 54:15.986 Yeah. 54:16.446 --> 54:17.006 Hutzo, babe. 54:17.706 --> 54:18.066 Hutzo. 54:19.326 --> 54:19.566 Yeah? 54:20.066 --> 54:20.386 Hutzo. 54:20.426 --> 54:21.287 Don't trip over the books. 54:22.107 --> 54:28.828 So yes, what I'm trying to express here is the idea that this separation 54:30.083 --> 54:33.135 this compartmentalization of our understanding that I've... 54:33.973 --> 54:48.038 you know, become aware of in myself in biology is compounded by the idea that comparatively few people enter biology with the requisite knowledge to appreciate that this is really an exercise in reverence. 54:48.098 --> 54:54.300 It's not an exercise in dominance or understanding or revelation. 54:54.841 --> 55:01.043 This is really a, it should be a humbling exercise in complexity appreciation. 55:02.233 --> 55:07.958 And if you have the requisite physics and chemistry, I think it's natural for biology to do that. 55:08.138 --> 55:20.068 And then it's natural to see the very necessary limitations on our ability to understand anything here when we can only reasonably hold on to a few handles at a time. 55:22.710 --> 55:24.532 Make sure you're not going in the street, Ruby. 55:26.764 --> 55:27.404 That's the problem. 55:27.464 --> 55:32.527 Now that she's healthy again, I have to pay more attention because she could walk across the street right now just to say hi to somebody. 55:33.668 --> 55:43.093 Okay, so what I want to do as an exercise here in the second part of the stream is to look at a TWiV episode, which, as I said, is discussing this paper. 55:43.153 --> 55:46.235 Now, what this paper tells you is crazy. 55:46.795 --> 55:50.898 What this paper tells you is something about bile acids. 55:51.744 --> 56:05.613 and the fact that bile acids and them being altered by the microbiome can change the relative infectivity of a virus and your ability to fight it or resist its infection. 56:06.193 --> 56:15.639 And so essentially, they're going to describe a relatively new set of gears that we didn't know existed before, as if it has no consequence. 56:18.757 --> 56:27.840 as if it has no consequence to their ever increasing appreciation for the irreducible complexity of immunology. 56:27.940 --> 56:32.841 Instead, before this stream, vaccines worked. 56:33.582 --> 56:35.562 Five years ago, vaccines worked. 56:36.563 --> 56:38.103 50 years ago, vaccines worked. 56:39.603 --> 56:43.785 And that truth remains constant, irrespective of what we learn. 56:44.887 --> 56:53.133 Irrespective of how much more understanding and appreciation we get for this, it doesn't matter. 56:53.834 --> 57:07.624 To them, it doesn't matter because vaccines work, antibodies are a correlate of immunity, and those truths are going to stay true no matter how complex the biology ever gets. 57:09.226 --> 57:11.767 Doesn't matter how many gears they find. 57:11.807 --> 57:17.750 It doesn't matter if they open the watch and out falls a whole army of miniature robots. 57:18.950 --> 57:19.531 Doesn't matter. 57:20.371 --> 57:26.293 They still are convinced that what they knew about the watch before they opened it is still true. 57:28.554 --> 57:33.197 Essentially, they've told you that it doesn't matter how much sand you put in this watch, it'll still run fine. 57:33.637 --> 57:38.739 And if the watch stops after you've put some sand in it, it has nothing to do with the sand that you put in there. 57:42.338 --> 57:54.466 And even if they opened this watch and found out that what they thought was in there is not in there, it's something completely different, they would still tell you that the sand doesn't do anything to how the watch works. 57:56.867 --> 58:08.675 And we are going to witness in real time a video where these virologists that have been unequivocally advocating for the vaccine schedule across the board all the time, every week, 58:09.494 --> 58:25.982 for four and a half years of the existing plandemic, but also in place early enough so that Vincent Racaniello could have and did host Peter Daszak for a discussion about zoonosis before the pandemic. 58:29.963 --> 58:36.626 And so listen carefully, I'm not going to play the whole thing, but I do have it queued up in the right place, where they will 58:38.134 --> 58:44.678 where they will show us this and you will be amazed at what these people are capable of. 58:44.738 --> 58:46.219 It's really very extraordinary. 58:48.220 --> 58:49.861 So this, I think, is where they start. 58:50.282 --> 58:59.528 And there actually is a little comment here where you can see some dismay because they're going to say that somewhere in the world they're rolling out an oral polio vaccine. 59:00.779 --> 59:06.762 from these people perspective, the oral polio vaccine is just dumb and that everybody should be injecting. 59:07.682 --> 59:09.844 And so I won't put that into context. 59:09.904 --> 59:14.066 I won't talk about that biology today, but I just want you to know that I think that's where this is queued up. 59:14.526 --> 59:18.088 There's a brief two minute thing about the polio vaccine. 59:18.148 --> 59:21.389 And this guy down here on the bottom is kind of like, oh no, oral polio. 59:21.469 --> 59:22.990 Why aren't these people smarter? 59:23.450 --> 59:25.351 And then they go on to the norovirus paper. 59:27.472 --> 59:28.413 Oops, that's this one. 59:30.390 --> 59:37.356 So this just in, CNN reports Israel agrees to pause fighting Gaza for polio vaccination. 59:39.137 --> 59:39.477 That's good. 59:39.878 --> 59:41.019 Yeah, this is very good. 59:41.679 --> 59:42.860 Humanitarian reasons. 59:42.880 --> 59:44.101 Maybe. 59:44.121 --> 59:53.409 It would be nice if they had dealt with some of the other issues that we had mentioned with some of the other infectious diseases and everything else. 59:54.149 --> 59:59.634 So 640,000 children are going to be immunized and apparently they're using OPV. 01:00:00.749 --> 01:00:01.650 NOPV2. 01:00:03.531 --> 01:00:08.053 So, you know, it's not ideal, but that's what they're going to do. 01:00:11.595 --> 01:00:11.895 Okay. 01:00:13.336 --> 01:00:17.759 Now, we have a paper that taught me more than I ever knew about bile acids in breast milk. 01:00:17.999 --> 01:00:18.459 Here we go. 01:00:18.479 --> 01:00:19.860 I know. 01:00:19.880 --> 01:00:24.262 I read this paper, and if I had had a chance, I would have spent some time with Steph Langel. 01:00:24.763 --> 01:00:25.423 Yes. 01:00:25.483 --> 01:00:28.825 I'm sure she could have provided a lot more insight. 01:00:29.412 --> 01:00:38.238 Actually, it's a mammoth study and very well written. 01:00:38.938 --> 01:00:42.801 When I started out, I know nothing about any of this stuff. 01:00:42.821 --> 01:00:44.522 Well, I know a little bit about noroviruses. 01:00:45.022 --> 01:00:51.867 But when I started out, I thought, I looked at the graphical abstract and I thought, this is going to be tough. 01:00:52.407 --> 01:00:54.669 But I got a little ways into it and I kind of got the drift. 01:00:55.545 --> 01:00:55.985 and it was good. 01:00:56.245 --> 01:00:58.586 So this is cell health and microbe. 01:00:58.666 --> 01:01:07.049 Metabolic immaturity and breast milk bile acid metabolites are central determinants of heightened newborn vulnerability to norovirus diarrhea. 01:01:07.169 --> 01:01:22.034 We have three co-first authors, Amy Piper, Joyce Morales-Aparicio, Zhang Zhang Hu, and a senior author, a former colleague of Rich's at the University of Florida Gainesville, Stephanie Karst, and our 01:01:23.007 --> 01:01:23.968 immune co-hosts. 01:01:24.068 --> 01:01:26.009 Steph Langell is on this paper as well. 01:01:26.049 --> 01:01:35.474 We have people from UF Gainesville, UNC, Chapel Hill, University of Illinois, Case Western Reserve, the Jesse Brown VA in Chicago, and Emory. 01:01:35.834 --> 01:01:40.637 So it's not really about the biology at all, of course, and that's what this is all about too. 01:01:40.777 --> 01:01:41.777 I was in that system. 01:01:41.837 --> 01:01:44.679 I know exactly what's it about, the position of your authorship 01:01:45.359 --> 01:01:48.261 in that line matters in those circles. 01:01:48.361 --> 01:01:57.408 And so just getting mentioned as a co-author, getting mentioned as a co-first author, these are all important for keeping those people locked in. 01:01:58.809 --> 01:02:00.751 Because that's the game they're currently playing. 01:02:01.611 --> 01:02:04.433 So this is maximum dopamine for all those people. 01:02:04.613 --> 01:02:11.038 Getting mentioned on TWIV, would it be the equivalent, I guess, of getting mentioned on JC on a Bike in neurobiology back in 2020. 01:02:13.228 --> 01:02:13.969 Stop lying! 01:02:14.410 --> 01:02:25.546 So I think this is going to be very interesting because again, Vincent Racaniello is about to say that he knows nothing about bile acids, knew nothing about breast milk, apparently knows nothing. 01:02:27.003 --> 01:02:37.453 about a whole interaction between bile and digestion and the microbiome and taurine and creatine. 01:02:38.034 --> 01:02:39.315 And it's like, wait, what? 01:02:39.555 --> 01:02:39.995 And who? 01:02:40.916 --> 01:02:43.959 And I guess I just didn't know that all these gears were there. 01:02:44.500 --> 01:02:45.721 I guess I just didn't know. 01:02:45.961 --> 01:02:46.862 Isn't that crazy? 01:02:49.278 --> 01:02:57.166 But then he'll go right back to assuming that all the biology, or right back to telling you that all the biology that he has told you up until now is 100% right. 01:02:57.687 --> 01:03:01.211 He's 100% right about everything to do with viruses. 01:03:03.203 --> 01:03:09.965 because he knows nothing about digestion or the microbiome or bile or anything like that. 01:03:10.565 --> 01:03:13.406 And there are all kinds of viruses in the gut. 01:03:13.466 --> 01:03:25.189 I think actually poliovirus is also in the gut, but he knows nothing about bile and knows nothing about lipid absorption and nothing. 01:03:26.130 --> 01:03:31.113 Nothing about how bio and its products are altered by the microbiome. 01:03:31.153 --> 01:03:31.753 Knows nothing. 01:03:32.514 --> 01:03:34.855 But he's supposed to be an expert on polio. 01:03:35.215 --> 01:03:40.178 He's the guy who figured out how to make an infectious clone of the polio virus. 01:03:40.198 --> 01:03:44.041 You know, a synthetic construct you could make mass quantities of. 01:03:46.662 --> 01:03:49.064 Him and David Baltimore are the people that figured that out. 01:03:53.446 --> 01:03:54.627 That's what we're talking about here. 01:04:00.882 --> 01:04:01.603 Hold on one second. 01:04:05.026 --> 01:04:05.647 Oh, she's home. 01:04:07.429 --> 01:04:08.450 Mom is home. 01:04:09.170 --> 01:04:10.552 So the dog is running around. 01:04:10.592 --> 01:04:11.152 Here we go. 01:04:11.172 --> 01:04:12.994 Oops, that's this one. 01:04:14.315 --> 01:04:15.837 School of Medicine. 01:04:16.918 --> 01:04:19.761 So here's the summary, the executive summary. 01:04:20.762 --> 01:04:21.603 Neuroviruses are small 01:04:24.460 --> 01:04:34.067 icosahedral plus-strand RNA viruses constructed similar to poliovirus, a nice protein shell with a plus-strand RNA inside. 01:04:34.428 --> 01:04:36.649 Non-envelope, tough as nails. 01:04:36.729 --> 01:04:37.390 Tough as nails. 01:04:37.410 --> 01:04:41.053 You just, you know, they pass through your intestinal tract. 01:04:41.073 --> 01:04:46.237 You eat them and they go into your intestine, they cause diarrhea, and then they're shed in copious amounts, and that's how... 01:04:46.917 --> 01:04:50.459 Other people get them and they cause vomiting and diarrhea. 01:04:50.800 --> 01:05:00.766 So it sounds like... In newborns, they're more... It would sound like to me that the primary thing that's weird is that the way that you get norovirus is that you get other people's poop in your mouth. 01:05:02.488 --> 01:05:03.608 Isn't that what it sounds like? 01:05:04.009 --> 01:05:06.270 If they replicate in your gut, then how do they get out? 01:05:10.113 --> 01:05:11.534 It sounds a lot like polio. 01:05:13.495 --> 01:05:16.137 You know, you just have to stop getting other people's poop in your mouth. 01:05:18.137 --> 01:05:27.515 which is why sanitation, water treatment were so vital to understanding what happened with polio. 01:05:27.555 --> 01:05:30.741 That's why also DDT is an interesting story. 01:05:34.045 --> 01:05:40.348 And I think we can figure out a lot if we started to think about placebo as being useful in all contexts, all the time. 01:05:40.428 --> 01:05:45.131 If you want to create an illusion of something, placebo would be one of the best ways to do it. 01:05:45.171 --> 01:05:50.454 Let's say, for example, you wanted to argue that malaria was building up a resistance to something. 01:05:51.875 --> 01:05:56.037 Maybe you could just, you know, not put that something out there anymore. 01:05:57.264 --> 01:06:08.569 Because one of the things they told us, the reasons why they stopped using DDT was because insects were building up a tolerance, a resistance to it, a resistance to a chemical. 01:06:09.589 --> 01:06:16.812 Like if you treated ponds with gasoline, that there would become gasoline resistant mosquito larvae. 01:06:18.993 --> 01:06:20.333 That's the essential argument. 01:06:20.393 --> 01:06:26.136 The DDT, a poison like DDT, you can actually get resistant mosquitoes to it. 01:06:26.954 --> 01:06:33.237 Well, if you wanted to make an argument that something that was working wasn't working anymore, maybe one of the ways to do it would be to stop using it. 01:06:35.117 --> 01:06:39.199 What I'm only suggesting is that this is a narrative that no one has ever considered. 01:06:41.200 --> 01:06:46.322 And it's always a narrative that could be used against us from a national security perspective. 01:06:48.436 --> 01:06:54.040 If you wanted people to believe that you had made a nuclear weapon and dropped it, would you need to drop a nuclear bomb? 01:06:54.140 --> 01:06:55.901 Really ask yourself, would you need to? 01:06:56.502 --> 01:07:07.409 Independent of whether you actually could make one, would you really need to drop one to convince somebody that you had if you had an illusion of consensus that would lie about it? 01:07:08.370 --> 01:07:10.852 Wittingly or unwittingly, no, you wouldn't need to. 01:07:10.912 --> 01:07:16.776 You could make a gigantic bomb, a regular gigantic bomb, nobody knows, 01:07:18.268 --> 01:07:22.229 what 10,000 tons of TNT looks like. 01:07:22.309 --> 01:07:27.871 Nobody knows what a great big hydrogen bomb or a great big whatever neutron bomb looks like. 01:07:29.591 --> 01:07:35.753 And so you make a great big fire bomb and you put some radioactive material in it and you claim that it was a nuclear bomb. 01:07:35.993 --> 01:07:38.073 I'm not suggesting that I know. 01:07:39.574 --> 01:07:43.255 What I'm suggesting to you is, is that in almost all cases, 01:07:44.926 --> 01:07:59.031 There is a very parsimonious and easy way where normal physics, normal chemistry, and lying could be used to create something that mankind would have a real hard time creating with physics and chemistry. 01:08:02.033 --> 01:08:13.357 We have a current example right now of gain-of-function research and an RNA pandemic where a biology that I believe is impossible is being 01:08:14.676 --> 01:08:30.064 coercively taught to our children through media and through social media and through our own naivety because these people have agreed to lie about the potential that RNA can have if it is stitched together in the right way by the right people with the right motives. 01:08:31.525 --> 01:08:42.891 Instead of these people explaining to you that the main danger is that we can make kilograms of this stuff using all of the standard equipment that pharmaceuticals use to make biologics. 01:08:45.219 --> 01:08:59.489 And so we could start transfecting and transforming humans all around the world and tell everybody it was virology and even use the wonderful bonus that there's these sequences around and then tell everybody openly what sequences we're tracking. 01:09:05.314 --> 01:09:12.059 So we're really in a situation now where this breakthrough threshold of understanding can occur. 01:09:13.055 --> 01:09:16.437 And it can occur because these people are so trapped. 01:09:18.078 --> 01:09:36.028 These people are so trapped by a lifetime in exactly the same way that I was trapped by a lifetime of dedication to these small, focused questions that, as William Briggs would point out in his course, are an assumption based on an assumption based on an assumption. 01:09:36.048 --> 01:09:37.269 And then here's where you're testing. 01:09:39.707 --> 01:09:43.430 And so these people with the no virus thing, they're not wrong about isolation. 01:09:43.470 --> 01:09:45.032 They're not wrong about purification. 01:09:45.072 --> 01:09:47.714 I think they're wrong about transfection and transformation. 01:09:48.174 --> 01:09:49.956 And I think they're ignoring it on purpose. 01:09:50.016 --> 01:09:51.357 And I don't understand why. 01:09:52.218 --> 01:09:58.744 Because transformation and transfection are the way that the illusion of virology is created. 01:09:58.944 --> 01:10:04.909 Yes, the false isolation and the false purification are also part of it. 01:10:06.274 --> 01:10:34.242 But if you don't take that to the necessary conclusion that because RNA can't pandemic, because RNA is only detected as a shadow in nature, and that these people are lying about what they find in bat caves and what they find in their laboratories, but the only real thing they can do is produce quantities of pure DNA and pure RNA that they can then study as a transformation or a transfection product or result, 01:10:37.096 --> 01:10:41.677 And we don't acknowledge that part, we just focus on the no virus part. 01:10:41.717 --> 01:10:44.838 We are playing the same game that these people play. 01:10:46.958 --> 01:10:54.440 When they talk about how, I didn't know anything about bio, and I didn't know anything about bio acids, and all this stuff is new to me, but that doesn't matter. 01:10:54.980 --> 01:11:01.702 I still understand immunology well enough to know that vaccines work, and they work as well as airplanes can fly and wheels can roll. 01:11:03.826 --> 01:11:06.849 Even though I don't know jack about the microbiome. 01:11:06.869 --> 01:11:07.510 I don't know jack. 01:11:07.530 --> 01:11:14.897 I haven't even thought about the idea that if there's a microbiome that interacts with us, then what about all the bacteriophages that interact with our microbiome? 01:11:14.917 --> 01:11:26.388 And how would we differentiate between the effects of a bacteriophage moving through our microbiome and expressing a protein that our body reacts to versus a viral protein or a bacterial protein? 01:11:26.408 --> 01:11:27.249 How do we tell the difference? 01:11:31.127 --> 01:11:36.132 These people just assume that everything that they know, assume, assume, assume, assume, assume, assume, those are all true. 01:11:36.192 --> 01:11:42.618 And so now we've got to add this new data that I know to the assumptions that I already are not willing to question. 01:11:44.980 --> 01:12:04.646 And so instead of revising the model of the world that they have with regard to RNA pandemics and RNA viruses and positive stranded viruses and negative stranded viruses, once they found out that there was a RNA dependent RNA polymerase in our own cells and say, well, then maybe we're wrong about these things. 01:12:04.706 --> 01:12:11.208 And maybe these signals, the endogenous, you know, homolog of these signals is more important than we ever imagined. 01:12:13.166 --> 01:12:14.146 They don't say any of it. 01:12:14.367 --> 01:12:41.479 They can't get there because they are as trapped as I was and as trapped as all the other biologists are who still haven't realized that transfection and transformation in healthy humans was always criminally negligent from the very beginning and that they themselves could have known and spoke out and saved potentially thousands if not millions of lives around the world had the rollout effectively been stopped by any one of us 01:12:42.250 --> 01:12:46.655 that spoke up, but it wasn't because there were too few speaking up. 01:12:47.476 --> 01:13:04.233 And more importantly, there are still too few today speaking up with the right words, with the right argument that shows that both sides are guilty, that both sides have people that have been collaborating to make sure we don't get out. 01:13:05.256 --> 01:13:23.649 And that's why I've been so harsh on Robert Malone and Meryl Nass and CHD and these people who, despite years of interacting with me, have still not come to realize that the most important thing that nobody understands is that we can make kilograms of DNA and kilograms of RNA. 01:13:24.049 --> 01:13:27.912 We can stitch it together and we can put it anywhere we want to and claim to have found it. 01:13:29.076 --> 01:13:53.109 And that if any of those proteins were bioactive, immunogenic, that the symptomology created by that transformation or that transfection could be misconstrued as the presence of a virus simply because we have people that are willing to say that a spike protein is a coronavirus, that an end protein is a coronavirus, or that the PCR detected equivalent is a coronavirus. 01:13:53.809 --> 01:13:56.131 And yes, the no virus people are wrong about that. 01:13:56.311 --> 01:13:58.392 I mean, right about that, that that's a lie. 01:14:00.179 --> 01:14:10.525 The no-virus people also seem to be incapable of saying that all virology that has any reproducibility starts with synthetic DNA and RNA. 01:14:12.046 --> 01:14:14.007 Like the SARS Urbani strain. 01:14:15.908 --> 01:14:18.770 That's the real place they need to take the tree down. 01:14:19.951 --> 01:14:20.491 But they don't. 01:14:21.598 --> 01:14:32.406 They take it down with the semantics, with the isolation and the purification, which means they're still essentially playing in the same arena of magic because the whole thing is an enchantment of words. 01:14:34.007 --> 01:14:50.240 And the uniform and universal agreement to use those words and agree that sometimes they don't make sense, but we use those words anyway, like vaccine, like immunize, like disease, like virus, 01:14:54.721 --> 01:14:57.703 Let's keep going because this is really interesting when he actually says it. 01:14:58.324 --> 01:14:58.804 Severe. 01:14:59.245 --> 01:15:00.466 So people want to know why. 01:15:00.526 --> 01:15:10.534 In this paper, they show that the metabolic immaturity of newborns and the presence of bile acids in breast milk 01:15:12.208 --> 01:15:16.634 are some reasons why newborns are more vulnerable. 01:15:16.674 --> 01:15:26.568 Now, we're talking about mice here mainly, but they do try and extend it to humans whenever they can because there are some data in humans that are sort of congruent with what they find in mice. 01:15:27.429 --> 01:15:28.471 So, the idea would be 01:15:30.123 --> 01:15:32.724 Maybe you could, and they do this experimentally. 01:15:32.764 --> 01:15:36.146 They target maternal and neonatal bile acid metabolism. 01:15:36.166 --> 01:15:38.747 They can protect newborns from a norovirus disease. 01:15:39.208 --> 01:15:56.276 So you're gonna learn a lot about bile acids and what they do and a little bit about breast milk, which we all say is great and is great, but there's one negative here, as you will see, and it can make, at least in mice, norovirus disease worse. 01:15:56.998 --> 01:16:00.782 Maybe in a community where there is a... In mice! 01:16:00.802 --> 01:16:01.363 Here we go! 01:16:01.423 --> 01:16:04.846 So in mice, breast milk can make norovirus infection work. 01:16:05.267 --> 01:16:06.027 Stop lying! 01:16:06.168 --> 01:16:06.648 Here we go. 01:16:07.128 --> 01:16:09.591 Terrible norovirus epidemic. 01:16:10.011 --> 01:16:12.073 You could also use that to help... That's right. 01:16:12.734 --> 01:16:18.440 And so just to bring this home for those of you 01:16:20.069 --> 01:16:25.472 who are unfamiliar with this, this is the cruise ship virus. 01:16:26.272 --> 01:16:35.297 And even if you've never been on a cruise, if you've stayed up all night throwing up with your kids, you've had this disease. 01:16:35.697 --> 01:16:37.838 Everybody gets this eventually. 01:16:37.898 --> 01:16:41.240 It's the most common now that rotavirus 01:16:41.980 --> 01:16:45.583 is basically suppressed with vaccination. 01:16:45.983 --> 01:16:50.307 It is the most common cause of gastroenteritis, right? 01:16:50.467 --> 01:16:57.333 Known among the cognoscenti as the two bucket disease. 01:16:58.334 --> 01:16:59.915 So these are all just nonsense. 01:16:59.955 --> 01:17:05.960 He's regurgitating the introduction of the paper, claiming that it's a common thing known now, blah, blah, blah, blah, blah. 01:17:06.400 --> 01:17:09.723 And then he gives credit to Paul Offit for getting rid of rotavirus. 01:17:09.983 --> 01:17:10.283 It is 01:17:11.403 --> 01:17:13.304 Nothing short of extraordinary, of course. 01:17:13.384 --> 01:17:24.790 Remember, the reason why we're doing this is because we want to get back to this idea that these people are kind of picking and choosing a couple layers of analysis. 01:17:24.830 --> 01:17:26.691 In this case, we're going to talk about mice. 01:17:27.591 --> 01:17:31.653 And we're going to talk about the gut microbiome as it relates to bile acids. 01:17:31.713 --> 01:17:33.174 And we're going to measure a couple of those. 01:17:33.214 --> 01:17:33.654 That's it. 01:17:34.295 --> 01:17:34.935 Nothing more. 01:17:35.555 --> 01:17:36.816 It's all going to be proxies. 01:17:38.194 --> 01:17:42.762 And we don't know, you know, this is a mouse model of human disease. 01:17:42.782 --> 01:17:45.466 It's really, really extraordinary what's happening here. 01:17:46.628 --> 01:17:46.909 Okay. 01:17:50.347 --> 01:18:00.171 I'm thinking of various humorous posters around Stephanie's lab saying, no two-bucket disease here. 01:18:00.671 --> 01:18:01.712 So there's no vaccine. 01:18:01.852 --> 01:18:04.373 There are vaccines being worked on, but we don't have one yet. 01:18:04.393 --> 01:18:05.333 We don't have antivirals. 01:18:05.373 --> 01:18:08.655 So if someone is vomiting with diarrhea, you have to keep them hydrated. 01:18:09.537 --> 01:18:12.539 And you can't just give them water, right, because they're losing electrolytes. 01:18:12.559 --> 01:18:15.060 So you have to do like Pedialyte or something like that. 01:18:15.140 --> 01:18:20.903 And, you know, in some many countries it's possible, but in many countries it's not. 01:18:21.283 --> 01:18:22.283 So babies die. 01:18:22.323 --> 01:18:24.044 There are 685 million cases a year. 01:18:24.064 --> 01:18:24.865 Unbelievable. 01:18:24.885 --> 01:18:26.826 50,000 to 200,000 deaths in young children every year. 01:18:32.403 --> 01:18:33.644 So this is a big problem. 01:18:34.264 --> 01:18:42.689 Now, we know that the gut microbiome is important in regulating enteric virus infections of all sorts. 01:18:43.430 --> 01:18:47.152 And in particular, so it's not just the bacteria, but it's their metabolites that do this. 01:18:48.052 --> 01:18:50.554 And that's what we're going to talk about in part in this paper. 01:18:50.614 --> 01:18:57.298 So neuroviruses bind a specific metabolite called a bile acid. 01:18:58.078 --> 01:18:59.300 Okay, here we go. 01:18:59.320 --> 01:19:02.826 I don't know anything about ballast, but I'm going to tell you what the authors say. 01:19:03.047 --> 01:19:11.821 Well, I also think that people should be aware that that's relatively new information. 01:19:13.254 --> 01:19:16.716 You know, I think 2018 is the earliest paper they cite about that. 01:19:17.577 --> 01:19:20.879 For a long time, this was something that was not really known. 01:19:22.119 --> 01:19:28.943 And there are some difficulties working with norovirus in the lab that contribute to that. 01:19:29.023 --> 01:19:36.127 And so, you can also realize that we're just now figuring out what to do about this two-bucket disease. 01:19:36.907 --> 01:19:41.090 Yeah, as a matter of fact, let me elaborate a little bit on this model. 01:19:42.251 --> 01:19:43.292 Brianne triggered this. 01:19:45.193 --> 01:19:47.755 You cannot grow the human virus in the laboratory. 01:19:48.135 --> 01:19:51.458 What we know about the human virus and its infection 01:19:52.860 --> 01:19:59.750 was learned by infecting volunteers with the virus. 01:20:01.552 --> 01:20:08.301 So, this mouse model is not, it's cool. 01:20:09.082 --> 01:20:18.305 in that it's not like, ordinarily when we talk about mouse models, we're talking about taking a human virus or a virus from some other animal and sticking it in a mouse. 01:20:18.705 --> 01:20:22.166 No, this is a mouse norovirus. 01:20:22.326 --> 01:20:29.968 So it's what I would call a, well, I don't know what to call it, but it's the host and the virus are 01:20:32.208 --> 01:20:35.349 It's a natural virus of this host of mice. 01:20:35.369 --> 01:20:43.532 Okay, and so he's not even really saying it a very Very coyly in the sense of you know, it's a mouse model. 01:20:43.573 --> 01:20:49.795 This is a mouse gut virus We don't even they're not even gonna bother to differentiate where the virus replicates. 01:20:49.835 --> 01:20:53.196 They don't care The assumption is it replicates in the mouse? 01:20:54.116 --> 01:20:58.258 It could be a bacteriophage for all they know It's very tough 01:20:59.437 --> 01:21:00.799 It's the cruise ship virus. 01:21:01.700 --> 01:21:03.542 And this is a mouse model of it. 01:21:03.622 --> 01:21:05.764 So there is a mouse equivalent virus. 01:21:06.465 --> 01:21:09.529 And the idea is that this is specific for mice. 01:21:09.569 --> 01:21:13.053 This is a mouse specific homologue of our own system. 01:21:14.334 --> 01:21:15.596 And they do that a lot. 01:21:16.036 --> 01:21:17.558 You know what else they did it a lot with? 01:21:17.638 --> 01:21:18.039 Yeast. 01:21:19.554 --> 01:21:25.141 Like when they found mechanisms in yeast that caused cell division or reorganization of the DNA. 01:21:25.161 --> 01:21:28.244 And then they looked for homologs of those genes in humans and found them. 01:21:28.805 --> 01:21:34.852 Then they portrayed that as, look, see, we understand cell division in yeast and the same mechanisms are used in you. 01:21:35.253 --> 01:21:38.417 And so, you know, it's basically your yeast only stuck together. 01:21:40.486 --> 01:21:42.407 There were Nobel prizes given away for that. 01:21:42.487 --> 01:21:54.176 In fact, the idea of prions is almost exclusively based on yeast biology and this idea that the homologue of what's happening in yeast is prions in humans. 01:21:57.378 --> 01:22:10.087 And so make no mistake about it, ladies and gentlemen, these people are trapped inside of this layer upon layer upon layer of assumption which starts, actually starts here at the genes to proteins 01:22:12.216 --> 01:22:19.139 to cells, to tissues, and this assumption that right down here at the bottom is all you need to know. 01:22:21.080 --> 01:22:28.463 And that if this can be correlated with something up here, then you understand the something up here because you understand that it's related to this. 01:22:29.544 --> 01:22:40.249 These are considered first causes, even though they might just be exhaust or the heavy metal content of the exhaust of the car. 01:22:41.983 --> 01:22:44.385 Now, obviously, I don't think that that's the case. 01:22:44.546 --> 01:23:00.201 But what I'm trying to suggest is that the correlation between observations at this level and observations at this level have been misconstrued as high-fidelity understanding that makes us only about 10 years away from ending disease and being able to upload our consciousness. 01:23:00.261 --> 01:23:01.702 And those are lies. 01:23:02.622 --> 01:23:10.350 that Elon Musk tells, that Kurtzweiler tells, that Fauci tells, that Daisak tells, that Robert Malone tells. 01:23:10.470 --> 01:23:20.160 And Robert Malone has been telling himself lies like that since he trained with these people in the retrovirus age, trained with people like Murray Gardner and 01:23:21.060 --> 01:23:43.640 and Gallo and Baltimore, all the same people that are responsible for defining virology as outside of us, hiding exosomal communication, the small packet genetic communication that occurs locally in the brain and probably systemically between the gut and the brain and between the immune system and all healthy and diseased tissues. 01:23:45.759 --> 01:23:57.667 And that's probably why that dude that was taking like $50,000 a month from the Communist Party in China from Harvard was working on nanosignaling, nanotechnology that could read nanosignals. 01:23:57.827 --> 01:24:11.517 Because the only way to usefully probe what's going on inside of our bodies at this packet level of communication genetically with RNA and DNA would be able to be able to kind of sample it all in real time. 01:24:13.351 --> 01:24:27.398 not very dissimilar to the new technology that's going rampant right now, the nanopore sequencing, where we don't need to use PCR with known amplicons and known primers to amplify a known sequence in order to sequence something anymore. 01:24:27.899 --> 01:24:32.201 In theory, we can just dump all the sequences through and see what comes out the other end in the reader. 01:24:35.834 --> 01:25:03.808 The trouble is these high throughput, high fidelity sequencing technologies have never been applied to virology because if they were, then the infectious cycle and the illusion that gets created when they use transformation and transfection and cell culture to create the illusion of virology, that illusion would be broken if they actually applied with any integrity, these sequencing technologies to probe what's happening. 01:25:03.828 --> 01:25:04.869 Let me give you an example. 01:25:06.178 --> 01:25:20.784 Imagine that these intrepid biologists decided that they really wanted to investigate the fidelity of the infectious cycle in an experiment like that avian flu enriching bullshit in ferrets. 01:25:22.805 --> 01:25:35.210 They did that in the Netherlands, where supposedly a ferret in one cage gave a sickness to the ferret in the next cage, and by the time they got to the 12th ferret, the avian flu was aerosolized and dangerous or some shit. 01:25:36.584 --> 01:25:48.409 Now, the funny thing is, is that they never bothered to characterize the changes that happened in that virus, even though they knew that most likely if it's going to be aerosolized and there are certain expectations, what would change? 01:25:50.110 --> 01:25:51.211 What proteins changed? 01:25:52.331 --> 01:26:02.536 What sequence changed that allowed it to go from being not so aerosolized to aerosolized or not so deadly to deadly or not so specific for ferrets for specific for ferrets. 01:26:03.598 --> 01:26:15.650 And why don't we have a sequence from every animal seeing as now we can sequence these things in real time using nanopore sequencing where we don't need primers and we don't need to know what we're looking for. 01:26:15.710 --> 01:26:16.851 We can just throw it all through. 01:26:20.034 --> 01:26:25.337 Why haven't we looked at the spike protein and how it's changed and how the physiology of it would change? 01:26:25.777 --> 01:26:43.326 If Robert Malone is able to make an x-ray crystallography model of any protein that he wants to so that he can screen the entire catalog of FDA pharmaceuticals and nutraceuticals against that model, then why can't we make a model of the spike protein so we can see how it's changing and whether or not these HIV inserts are still there or not? 01:26:44.227 --> 01:26:46.228 Whether they're still causing extra damage or not? 01:26:48.390 --> 01:27:01.357 Why don't we use the EpiVax technology that was developed by Robert Malone and the people at EpiVax to look at the spike protein, to look for epitopes that might be dangerous or immunogenic in particular. 01:27:01.918 --> 01:27:13.164 Why is it that all of these technologies exist and they can be on Robert Malone's resume, but they never need to be talked about when he's in front of a camera, when somebody could ask him a useful question, when somebody is going to write a book. 01:27:21.087 --> 01:27:34.874 Sometimes this gets a little pushback because there are some differences between, or some people talk of differences between the disease in mice and the human disease. 01:27:35.035 --> 01:27:35.595 There's no difference. 01:27:35.615 --> 01:27:43.299 There are a number of different strains and they focus on a strain here that I think is very closely mimics the human disease. 01:27:45.379 --> 01:27:48.384 Right, so we're talking about marine norovirus here. 01:27:48.504 --> 01:27:50.107 Yes, mouse norovirus. 01:27:50.307 --> 01:27:56.338 I mean, when you interview the mice, they have the same complaints that people with norovirus have, so I guess it pretty well mimics the disease. 01:27:57.056 --> 01:27:59.238 All right, so they bind bile acids. 01:27:59.278 --> 01:28:01.960 So let's talk a little bit about bile acids. 01:28:01.980 --> 01:28:14.350 They're made in the liver from cholesterol, and then they're joined to either taurine or glycine, and then we call them conjugated primary bile acids. 01:28:15.290 --> 01:28:17.532 So he's learning biology for the first time. 01:28:17.612 --> 01:28:23.617 Bile acids are made in the liver, stored in the bile ducts, and secreted when needed. 01:28:24.482 --> 01:28:46.216 They have a lot to do with the absorption or lack of absorption of vitamin A. You can find a nutritionist on X that's Garrett, somebody or other that talks a lot about vitamin A toxicity and the idea that at one point in time, we may have been short vitamin A, but now they put it in so much food, they put it in everywhere that it's become to the point where, you know, you can get toxic from it. 01:28:46.836 --> 01:28:51.459 And in fact, his argument is, is that, you know, vitamin A is in pretty good quantity in your liver. 01:28:51.499 --> 01:28:52.920 So what do we need it more for? 01:28:53.527 --> 01:28:56.909 There's no shortage if it's available in the liver all the time. 01:28:57.909 --> 01:29:02.951 Now, I don't know to what extent he's right about this, but a lot of what I read from him seems very good. 01:29:03.372 --> 01:29:05.933 What I find very interesting is what they just said here. 01:29:05.953 --> 01:29:08.454 I'm going to go back so you can hear it one more time and then I'll play it. 01:29:08.534 --> 01:29:13.096 And then they're joined to either taurine or glycine. 01:29:13.256 --> 01:29:15.697 So either joined to taurine or glycine. 01:29:15.737 --> 01:29:16.798 I think I said creatine. 01:29:16.818 --> 01:29:17.358 Sorry about that. 01:29:17.838 --> 01:29:19.159 So taurine or glycine. 01:29:19.239 --> 01:29:20.960 Taurine is a very, 01:29:21.984 --> 01:29:23.561 abundant component in 01:29:24.799 --> 01:29:26.860 in Red Bull. 01:29:27.581 --> 01:29:46.953 So I find myself wondering, because in biology and in our own pattern integrity, there are nearly countless examples of feedback mechanisms by which the presence of one component of that mechanism regulates the metabolism of another so that the right concentrations are present all the time. 01:29:47.554 --> 01:29:53.598 And so I find myself wondering if you're drinking a lot of Red Bull and taking in a lot of taurine, if that affects anything about how 01:29:54.398 --> 01:29:58.461 Bile production and nutrient absorption would change. 01:29:59.682 --> 01:30:06.706 And how that would affect bile secretion and the interaction of these bile acids with your microbiome. 01:30:06.726 --> 01:30:12.490 Listen again as, listen as he continues to explain his rudimentary understanding that he learned a couple days ago. 01:30:13.134 --> 01:30:17.460 and then we call them conjugated primary bile acids. 01:30:17.961 --> 01:30:25.672 They're stored in the gallbladder, which many of you have lost years ago, right? 01:30:26.133 --> 01:30:27.014 And then when you eat, 01:30:28.611 --> 01:30:33.913 the bile acids come out of your gallbladder into the duodenum to help with digestion. 01:30:34.874 --> 01:30:37.795 In particular, help with digestion with fatty stuff. 01:30:37.995 --> 01:30:38.555 Fatty stuff. 01:30:38.575 --> 01:30:48.119 Which is why if you lost your gallbladder and you go out and have a Big Mac, you might have trouble shortly down the road. 01:30:48.599 --> 01:30:48.779 Right. 01:30:50.600 --> 01:30:54.683 So once, so do you feel like you have informed consent now? 01:30:55.423 --> 01:30:58.505 I kind of feel like I'm at a standard vet office at this stage. 01:30:58.545 --> 01:31:02.468 They didn't explain Jack mostly because they don't get it either. 01:31:05.109 --> 01:31:08.031 They freely admit they're just kind of reading a description. 01:31:08.071 --> 01:31:08.591 They don't know. 01:31:08.752 --> 01:31:11.233 And don't forget, it helps you digest fatty stuff. 01:31:11.273 --> 01:31:14.215 So the next time you eat a big Mac, you better hope you have a gallbladder. 01:31:17.585 --> 01:31:32.676 Once the bile acids, these conjugated primary bile acids, get into the intestinal lumen, the bacteria there, your microbiome, metabolize them into unconjugated primary and secondary bile acids. 01:31:34.485 --> 01:31:44.072 They make what are called microbial conjugated bile acids, and these are reabsorbed, but most of these are reabsorbed across the intestinal epithelium and go back to the liver. 01:31:44.812 --> 01:31:46.033 Something sounds familiar here. 01:31:46.053 --> 01:31:47.154 You're going to recycle them, right? 01:31:47.574 --> 01:31:50.196 And this is called the anterohepatic circulation. 01:31:50.916 --> 01:31:59.262 You go back in the liver, and then, of course, it's going to be reconjugated to taurine or glycine and stored in the- So are taurine and glycine being excreted then? 01:32:01.164 --> 01:32:09.347 gene conjugated to the bile acid, the bile acid goes to the microbiome, the microbiome unconjugates them, and then they're reabsorbed? 01:32:10.687 --> 01:32:13.668 Do they reabsorb and bring something else with them? 01:32:16.329 --> 01:32:17.489 Is it a feedback loop? 01:32:18.330 --> 01:32:20.790 Could extra taurine in your gut change that? 01:32:24.792 --> 01:32:27.953 I wouldn't be surprised if one or more of these people actually drank Red Bull. 01:32:28.629 --> 01:32:29.169 gallbladder. 01:32:29.550 --> 01:32:30.810 So it's recycled, right? 01:32:31.711 --> 01:32:36.834 And this transport is mediated by a transporter in the intestine. 01:32:36.854 --> 01:32:40.177 It's called the apical sodium dependent bile acid transporter. 01:32:40.217 --> 01:32:43.519 That's going to play a role in this story as well. 01:32:44.279 --> 01:32:46.061 The paper is open access. 01:32:46.421 --> 01:32:47.622 It's funny that you mentioned that. 01:32:47.722 --> 01:32:51.424 And it's funny that you mentioned that in the chat, because I've been thinking about this a lot. 01:32:51.464 --> 01:32:54.586 If vitamin A were a mystery scam, what would it be? 01:32:55.467 --> 01:32:57.949 And in the history of measles, that's what I've 01:32:58.909 --> 01:33:08.873 discovered what Yong In-sef, I don't know what your real name is there, but the one in green, he says Gates loves vitamin A, that's all you need to know. 01:33:08.973 --> 01:33:14.995 It would be interesting to think of the idea that vitamin A in detriment 01:33:20.635 --> 01:33:24.177 can cause a rise in disease because of immune weakness or whatever. 01:33:25.018 --> 01:33:30.362 And vitamin A in abundance can be toxic. 01:33:30.562 --> 01:33:39.128 Now, the only question is whether there is any place or any population where you have a deficiency. 01:33:39.288 --> 01:33:41.749 And in history, at least, we were told that we did. 01:33:41.809 --> 01:33:45.332 And one of the things that you needed to add vitamin A for was measles. 01:33:45.372 --> 01:33:46.432 So it's a good chat 01:33:48.018 --> 01:33:54.421 Graphical abstract, once you sort of get a little bit of a grip on this, is quite good. 01:33:55.261 --> 01:33:59.383 I found myself referring back to it all the time to make sure I was still on the right road. 01:33:59.803 --> 01:34:00.003 Yes. 01:34:00.123 --> 01:34:04.665 So the idea is that these bile acids are made by the liver, help us with digestion. 01:34:05.005 --> 01:34:10.927 However, the microbes in our GI tract can change them, but we can recycle them and change them back. 01:34:11.447 --> 01:34:11.627 Right. 01:34:14.540 --> 01:34:21.962 It's been shown that interaction with conjugated bio- And she says that we can recycle them and change them back and doesn't understand. 01:34:22.042 --> 01:34:34.564 So she seems to make it feel like that's an antagonistic relationship between the microbiome that unconjugates these bile acids and then we have to take them back in and re-conjugate them. 01:34:34.604 --> 01:34:38.945 And so it's like a push and pull between two antagonists. 01:34:39.045 --> 01:34:41.966 She doesn't even imagine that it could be a symbiotic thing. 01:34:42.987 --> 01:34:54.621 a feedback between our microbiome and our liver to make sure that we continue to safely absorb lipid-based nutrients without absorbing any toxins or something like that. 01:34:54.641 --> 01:34:58.105 I mean, it's weird because you can hear their 01:34:59.969 --> 01:35:06.271 their portrayal of the interaction with the microbiome as non-symbiotic. 01:35:06.491 --> 01:35:07.252 It's separate. 01:35:07.432 --> 01:35:14.895 It's almost always potentially antagonistic, and that's a real fundamental flaw in their basic model. 01:35:16.155 --> 01:35:19.336 Change them, but we can recycle them and change them back. 01:35:19.836 --> 01:35:20.056 Right. 01:35:21.157 --> 01:35:26.799 Now, it's been shown that interaction with conjugated bile acids 01:35:28.314 --> 01:35:29.135 is proviral. 01:35:29.195 --> 01:35:35.059 It helps virus replication for both human and marine noroviruses in vitro in cultured cells. 01:35:35.499 --> 01:35:44.646 And there are a number of mechanisms in vitro viral action with conjugated bile acids is proviral. 01:35:44.706 --> 01:35:47.628 It helps virus replication for both human and marine. 01:35:47.748 --> 01:35:53.893 So conjugated bile acids, which we produce are proviral. 01:35:55.273 --> 01:35:57.374 pro-norovirus infection. 01:35:57.434 --> 01:36:07.076 So what he is actually going to tell you is that our interaction with our microbiome actually protects us from what they call a norovirus infection. 01:36:12.358 --> 01:36:18.880 And so they are now adding a whole nother layer to the enterovirus infection model. 01:36:19.926 --> 01:36:33.272 that has to do with the chemical interaction of bile acids and the microbiome, generalizing across that microbiome as if it's just one bacterial with one enzyme that does this. 01:36:35.153 --> 01:36:44.977 That it's one bacteria with one protein on the outside that we just ignore some very simplistic model, rather than finally acknowledging that, you know, I've been a 01:36:45.549 --> 01:36:57.677 I've been a polio vaccine and polio virus expert since I can remember, and I never thought for even a second about the gut microbiome and the fact that the polio virus might interact with the gut microbiome. 01:36:57.717 --> 01:37:04.142 It's never even, I never even, it never even dawned on me, but instead he's completely arrogant. 01:37:05.323 --> 01:37:09.466 I don't know anything about bile acids, but I'm going to tell you what the authors wrote. 01:37:10.541 --> 01:37:14.963 And even though I don't know anything about bio-acids, I know everything about the watch still. 01:37:15.563 --> 01:37:20.145 I'm still the foremost authority on vaccines going back to polio. 01:37:20.305 --> 01:37:29.610 I'm still Earth's virology professor, even so confident in his position as an authority figure on this biology. 01:37:30.290 --> 01:37:47.634 that he is free, absolutely free to admit that he doesn't know jack shit about bile acids or their role in digestion or immunity or the selectivity of the gut. 01:37:48.134 --> 01:37:48.694 Nothing. 01:37:49.235 --> 01:37:50.675 He knows nothing about it. 01:37:52.674 --> 01:37:58.920 But now he's going to tell you that these authors have discovered that it's central to norovirus infection, but that doesn't matter to me. 01:37:59.501 --> 01:38:13.535 I just studied polioviruses and enteroviruses, but I don't care that it's only since 2018 that we've known anything or cared at all about whether or not there are microbiomas involved in this biology at all. 01:38:19.580 --> 01:38:22.061 noroviruses in vitro in cultured cells. 01:38:22.522 --> 01:38:32.807 And there are a number of mechanisms, but one of them, certain bile acids can inhibit infection in an interferon-dependent manner. 01:38:33.347 --> 01:38:36.349 So that's one of the mechanisms. 01:38:36.569 --> 01:38:40.271 Interferon-dependent manner, but interferon is produced by cells. 01:38:42.199 --> 01:38:44.421 He's not gonna tell us where the interferon comes from. 01:38:44.481 --> 01:38:45.902 The authors might not have even looked. 01:38:45.962 --> 01:38:58.553 Remember, this is a reductionist analysis where they're gonna take a mouse model, and they're gonna take a couple proxy measurements of the virus being there in the PCR or some bullshit like that. 01:38:59.073 --> 01:39:05.138 And then they're also gonna look at the bile acids and say that they can measure them or not, and they can add them back or not. 01:39:05.859 --> 01:39:10.143 And adding them back causes a change in the other variable, and so then they must be related. 01:39:11.158 --> 01:39:15.582 Just like when the car goes faster, there's more heavy metals in the exhaust, so they must be related. 01:39:16.642 --> 01:39:21.486 The exhaust must be an indicator of how fast the car is going, just like this. 01:39:22.387 --> 01:39:23.748 It's the same nonsense. 01:39:23.968 --> 01:39:26.450 This signal indicates that signal is real. 01:39:28.312 --> 01:39:38.060 And it is the exact same kind of pseudo logic that William Briggs has been talking about in his uncertainty class, but in real terms. 01:39:38.959 --> 01:39:47.265 And the real terms are chosen using a reductionist analogy for analysis, or a reductionist strategy for analysis. 01:39:51.628 --> 01:40:00.134 And this process seems to occur for different viruses, and so it's maybe a general principle. 01:40:01.455 --> 01:40:07.760 It may be a general principle that he doesn't know, didn't know existed before right now. 01:40:08.760 --> 01:40:13.223 in this stream, but he's Earth's virology professor. 01:40:14.444 --> 01:40:21.189 Earth's expert on oral polio vaccine versus intramuscular injected polio vaccine. 01:40:22.110 --> 01:40:23.111 He is the expert. 01:40:24.092 --> 01:40:26.874 He calls himself Earth's virology professor. 01:40:27.614 --> 01:40:36.461 The role of bile acids and the microbiome in conjugation and unconjugation, reconjugation of bile acids 01:40:37.108 --> 01:40:47.075 could be critical and generally very important in understanding all enteroviruses, but who gives a shit, because I've been the expert for 40 years already. 01:40:48.256 --> 01:40:54.540 This doesn't change anything for him, even if it's a whole nother layer of complexity, or maybe four. 01:40:57.222 --> 01:41:00.344 Created bile acids promote neurovirus infection, 01:41:01.263 --> 01:41:09.929 And the ones that are generated by microbes, the ones that they deconjugate, they activate an antiviral response and inhibit infection. 01:41:11.270 --> 01:41:16.654 One mechanism may be interferon, and this can determine susceptibility. 01:41:18.015 --> 01:41:21.037 Okay, so that's- So it's gotten infinitely more complex than it was. 01:41:22.836 --> 01:41:26.759 It means that rotavirus is not really solved the way that he says it's solved. 01:41:26.819 --> 01:41:29.280 It means that polio is not really solved the way he says it's solved. 01:41:29.340 --> 01:41:32.502 It means that they didn't know jack about enteroviruses. 01:41:33.363 --> 01:41:37.205 If enteroviruses are indeed anything like they claim they are. 01:41:39.707 --> 01:41:47.572 They didn't know about a crucial mechanism of regulation, a crucial mechanism 01:41:49.051 --> 01:41:52.854 of facilitation of their apparent phenomenon that they are an expert in. 01:41:54.275 --> 01:42:04.924 And now they have a new layer of complexity and he shrugs it off as if he's reading a newspaper about what happened in the Cubs game because baseball still exists and all the rules are still the same. 01:42:05.344 --> 01:42:06.705 It's not that way at all. 01:42:06.985 --> 01:42:08.446 It's not just a new champion. 01:42:09.707 --> 01:42:14.211 It's not just that the Cubs have finally won the World Series, but baseball is still baseball. 01:42:16.596 --> 01:42:26.623 It is that they didn't know jack about enteroviruses, had anything to do with bile acids, had anything to do with the microbiome unconjugating bile acids. 01:42:26.643 --> 01:42:35.029 Now they know that it could be one of the general mechanisms by which these entities that they purport to be experts in might operate. 01:42:35.049 --> 01:42:37.410 It's no big deal though, it's cool. 01:42:38.131 --> 01:42:43.755 Just have to add a little color over here in the cartoon and then our cartoon is basically still valid. 01:42:44.685 --> 01:42:45.425 Stop lying! 01:42:53.910 --> 01:42:57.172 Bile acids, conjugated and unconjugated, right? 01:42:57.893 --> 01:42:58.533 And their effect. 01:42:58.593 --> 01:43:06.778 So conjugated bile acids help neuroviruses, and unconjugated do not. 01:43:08.439 --> 01:43:08.699 OK. 01:43:09.179 --> 01:43:14.162 Now, the other important part here is that bile acids are different in neonates and adults. 01:43:16.863 --> 01:43:18.889 First of all, the genes are regulated. 01:43:19.431 --> 01:43:22.600 They're off or low at birth, and then they go up. 01:43:24.011 --> 01:43:26.692 The bacteria are not all there at the beginning, right? 01:43:26.712 --> 01:43:27.412 They're low at birth. 01:43:27.452 --> 01:43:28.552 They steadily increase. 01:43:29.212 --> 01:43:30.733 Enterohepatic cycling, right? 01:43:30.773 --> 01:43:34.154 The cycling of bile acids is diminished in neonates. 01:43:34.354 --> 01:43:49.077 And so what they're going to miss here, and I'm just preparing you for what I'm hearing, what they're going to miss here is that the immune system of a neonate and the immune system of a breastfeeding baby, the immune system of a young toddler, the immune system of a young 01:43:51.278 --> 01:44:20.585 adolescent and a young teenager, the immune system is ever interacting with the gut microbiome, ever building a tolerance to the gut microbiome and the proteins that are produced there, ever building an interaction that includes the exchange of bile acids that are conjugated and unconjugated and the recycling of them to facilitate the absorption of and digestion of lipid-based nutrients and chemicals that the body needs. 01:44:22.577 --> 01:44:47.032 And enteroviruses, according to these people, are a part of that system that heretofore we didn't understand nearly as well as we used to because we didn't understand this key aspect of how they are moving around, how they get where they're going, and how the production of bile acids and the interaction and processing of those by the gut microbiome sort of feed back on this. 01:44:50.034 --> 01:44:56.981 And they still talk as though the rotavirus vaccine works, the polio vaccine works, because we understand it. 01:44:58.363 --> 01:45:09.174 Even though we didn't know about this huge thing, you know, the engine in the beginning, in the front of the car that has all these pistons in it, that's attached to this driveshaft, that's attached to the wheels. 01:45:11.291 --> 01:45:26.328 You've been telling me for 40 years that the exhaust vapor that's coming out the back of the car and the correlation between the metals and the temperature tells me something I know about the speed and power of the car, but that's not true at all. 01:45:28.050 --> 01:45:32.274 It's whether or not this part is connected to that part and this part is running or not. 01:45:34.230 --> 01:45:45.352 They are ignoring the fact that they have been pointing to the tailpipe for 20 years and pointing to their firm understanding about how these viruses replicate when they knew nothing about it. 01:45:47.873 --> 01:45:51.394 They knew nothing about at least three layers of how this works. 01:45:52.294 --> 01:45:55.474 And they're still not being specific enough because they're still in a mouse. 01:45:56.215 --> 01:46:02.956 They're still talking about the microbiome as if it's a thing instead of a flora, a bouquet of things. 01:46:04.645 --> 01:46:06.666 as if the microbiome can just be sequenced. 01:46:09.007 --> 01:46:12.729 Oh wait, Sabine Hazan will tell you that it can just be sequenced. 01:46:13.329 --> 01:46:14.029 Stop lying! 01:46:25.325 --> 01:46:31.228 get maternal bile acids, and the maternal bile acids are conjugated. 01:46:31.908 --> 01:46:37.911 And remember, the conjugated bile acids can potentiate virus infection. 01:46:39.497 --> 01:46:48.123 So you have host bile acids, which potentiate virus replication, and you have microbial that modulate it. 01:46:48.143 --> 01:46:51.666 This is an interesting little push-pull here that's going on, right? 01:46:51.706 --> 01:46:54.948 Except it's a push-pull that involves the symbiotic. 01:46:55.028 --> 01:47:02.113 It's not push-pull at all, because the bacteria have nothing to unconjugate if we don't produce the bile acid. 01:47:04.415 --> 01:47:07.317 And since all that bile acid that we produce is conjugated, you see? 01:47:09.215 --> 01:47:19.319 So the bacteria are actually just doing their job, doing what they do as part of this symbiotic relationship where bile acids are used to absorb things. 01:47:21.740 --> 01:47:25.502 It's an extraordinary thing because they're also used to detoxify. 01:47:27.303 --> 01:47:37.007 And so you can see a very clever thing where they're just kind of hinting at it, but not really telling you that taurine, and what did they say, glycine, 01:47:39.096 --> 01:47:42.879 are conjugated to these and then the unconjugation occurs in the bacteria. 01:47:42.899 --> 01:47:44.480 Where does the taurine and the glycine go? 01:47:48.023 --> 01:47:50.205 What else can be conjugated to bile acids? 01:47:50.245 --> 01:47:52.347 Could we get rid of toxins with bile acids? 01:47:55.309 --> 01:47:56.850 And so where are we here now? 01:47:56.951 --> 01:48:04.617 We are again, firmly inside of the trap because with reductionist biology, 01:48:06.616 --> 01:48:15.821 where you focus on a few variables and the rest is assumptions, then these assumptions are never tested. 01:48:15.901 --> 01:48:21.765 The parts of the model of your understanding of reality that are here, our assumptions are never tested. 01:48:23.366 --> 01:48:34.072 And we have the false sense of security that these limited reductionist investigations are buttressing 01:48:35.478 --> 01:48:39.121 the assumptions upon which the investigation is based. 01:48:39.722 --> 01:49:03.562 In other words, exactly what Matthew Briggs has been trying to explain to us, that we get into the logic over here, and we assume that the realistic and real mathematical logic that we do over here is providing edifying observations for the assumptions that we are making over here, when that is an absolutely false 01:49:05.367 --> 01:49:08.888 but it is the basis for progress in academia. 01:49:10.368 --> 01:49:26.691 It is the basis for progress in academia, where a reductionist model and a reductionist experiment and observations made in that context are falsely used to create an illusion of understanding over here. 01:49:28.291 --> 01:49:33.372 A reductionist model of mouse and the brain and autism can be used 01:49:34.520 --> 01:49:49.392 to pretend that the assertion that genes can cause autism at the population level has been supported by a reductionist investigation involving a mouse model of autism and SK channels in the brain. 01:49:50.713 --> 01:49:51.214 Can you see it? 01:49:53.447 --> 01:50:18.844 And the same thing is being done here, where a reductionist model of digestion and a reductionist model of enterovirus is being falsely edified by another observation of complexity instead of going, well, now our understanding of enteroviruses in general is even on shakier ground than it was a couple months ago. 01:50:20.618 --> 01:50:23.739 These people do the same exercise. 01:50:23.939 --> 01:50:32.020 This reductionist experiment provides edifying data for our assumptions about enteroviruses. 01:50:35.921 --> 01:50:42.623 And now you see how much work we have to do, because we could do this every day with every paper in biology in almost every field. 01:50:43.763 --> 01:50:47.984 We could take the reductionist model that they are testing 01:50:48.956 --> 01:51:13.998 with very rigorous logic and very rigorous p-values and demonstrate how these p-values and the very rigorous logic used to apply them does not result in edifying observations which support these assumptions around which the experiment was designed. 01:51:17.270 --> 01:51:18.591 I think that's the clip, Jeff. 01:51:19.452 --> 01:51:21.974 I think that's the thing that we need to say. 01:51:22.034 --> 01:51:23.616 That's the thing we need to understand. 01:51:23.676 --> 01:51:28.961 That's the thing that the next years of my work are going to be dedicated to. 01:51:29.628 --> 01:51:43.814 trying to get young people to be able to understand, young biologists to understand that this framework can be as malevolently applied as it can be reverently applied. 01:51:44.474 --> 01:51:48.416 And up until now, Biology 101 has been applied malevolently. 01:51:49.181 --> 01:52:02.263 to give you the false sense of fidelity and a false sense of understanding that almost everything is done, that almost all problems are solved, because one or two of these layers of analysis is paramount. 01:52:03.484 --> 01:52:17.246 And we do not understand any level of analysis, especially the genetic one, in such a way to call it paramount or to understand what it really does with respect to the rest of our understanding of our own pattern integrity. 01:52:18.922 --> 01:52:45.475 Now, I wanna revisit pattern integrities again on Thursday because there's been some confusion because I seem to imply that there's no real division of pattern integrity here, but there absolutely is a division of pattern integrity at organism, at the individual organism that takes in energy, produces waste, repairs itself, grows and develops, 01:52:46.385 --> 01:52:51.448 matures, all of these words and processes can only be found in a pattern integrity. 01:52:52.029 --> 01:52:54.010 So the weather is not a pattern integrity. 01:52:55.271 --> 01:52:57.112 Chemistry is not a pattern integrity. 01:52:57.152 --> 01:52:58.293 Those are something different. 01:52:58.333 --> 01:52:59.714 Those are more fundamental. 01:53:00.274 --> 01:53:12.102 A pattern integrity is something that exists on top of chemistry and physics to sustain itself, to grow, and to replicate itself. 01:53:13.704 --> 01:53:15.084 It's not the same thing as 01:53:16.980 --> 01:53:20.963 a chemical reaction or a physical law. 01:53:21.824 --> 01:53:23.445 And so be very, very aware. 01:53:23.505 --> 01:53:30.650 I'm not suggesting that you can't delineate what a pattern integrity is in the context of Earth's biology. 01:53:31.171 --> 01:53:38.256 A pattern integrity is an organism, is a living thing, and a living thing does certain things that non-pattern integrities do not. 01:53:40.788 --> 01:53:43.070 And so I hope this wasn't a complete waste of time. 01:53:43.571 --> 01:53:48.516 I know I rambled a lot about the dog and I know I rambled a lot about this stuff with regard to Twiv. 01:53:49.056 --> 01:53:49.797 But I did have... 01:53:50.544 --> 01:53:57.010 In my mind, at least, in my imagination, I thought I had a good message today and I don't know if I hit it out or not, but that's where we are. 01:53:57.571 --> 01:53:58.332 That's what we're doing. 01:53:59.373 --> 01:54:03.036 This has been Giga Ohm Biological. 01:54:03.076 --> 01:54:07.700 This has been Biological 101, Biology 101 underscore three. 01:54:08.661 --> 01:54:11.344 We're talking about understanding life as a pattern integrity. 01:54:12.004 --> 01:54:14.247 And I will be on at... 01:54:15.808 --> 01:54:16.849 Wow, that's really close. 01:54:17.949 --> 01:54:20.191 I'll see how PeerTube is doing. 01:54:20.231 --> 01:54:32.598 I might make it 1414 to do the third installment of the Uncertainty class of William Briggs after I get some lunch and drink some water and that kind of thing. 01:54:33.038 --> 01:54:34.218 Thanks very much for joining me. 01:54:34.299 --> 01:54:35.039 Thanks for being here. 01:54:35.889 --> 01:54:39.870 Thanks for having the patience over the weekend and the faith that I would come back. 01:54:40.311 --> 01:54:43.312 And thanks for praying for my dog if you did indeed do that. 01:54:44.112 --> 01:54:50.114 I think a lot of people must have because the turnaround was nothing short of miraculous. 01:54:50.254 --> 01:54:51.174 That's how I would say it. 01:54:51.294 --> 01:54:52.635 So, thanks very much. 01:54:53.375 --> 01:54:58.477 I appreciate all of you in an unimaginable way. 01:55:01.018 --> 01:55:01.778 Thanks, thanks, thanks. 01:55:02.318 --> 01:55:03.579 I'll see you guys again tomorrow. 01:55:06.035 --> 01:55:08.076 I'm not sure what I'm going to do tomorrow, but I'll have something. 01:55:08.116 --> 01:55:10.898 I got a whole laundry list of things to do. 01:55:11.058 --> 01:55:12.679 Actually, I think I know what I'm going to do tomorrow. 01:55:12.699 --> 01:55:22.264 Tomorrow I'm going to do a Charlie Rose show with Jeffrey Sachs and Peter Hotez. 01:55:23.084 --> 01:55:30.686 and a Nobel Prize winner that Mark Kulak of Housatonic ITS, Housatonic Live, posted on all of his channels. 01:55:32.047 --> 01:55:40.229 It's a really interesting show that I dare you to watch before we review it tomorrow in a study hall to see if you find what I found. 01:55:41.249 --> 01:55:42.530 I think it'll be really interesting. 01:55:42.570 --> 01:55:42.990 I know Mark 01:55:44.030 --> 01:55:46.492 Will be very curious as to what I found in that video. 01:55:46.552 --> 01:55:49.113 So anyway Thanks for being here. 01:55:49.293 --> 01:55:54.216 Thanks for supporting the stream If you want to support you go to get home biological comm and find a way to support it. 01:55:54.756 --> 01:56:01.620 Thank you very much Steven C Thank you very much Carrie Girl rocks. 01:56:02.280 --> 01:56:02.961 We got you. 01:56:03.561 --> 01:56:04.301 Thank you very much. 01:56:04.381 --> 01:56:07.383 Thanks Jeff from Earth Thanks, Greg 01:56:09.404 --> 01:56:09.764 I don't know. 01:56:09.804 --> 01:56:14.748 Thank you for the people that support this stream with little donations and small ones. 01:56:15.929 --> 01:56:20.372 My whole family will be eternally grateful and I hope that I'm making you all proud. 01:56:20.713 --> 01:56:23.355 And again, I'll see you later on this afternoon and then again tomorrow. 01:56:24.415 --> 01:56:25.876 Just trying to build up the momentum. 01:56:26.577 --> 01:56:28.358 And thank you very much. 01:56:28.719 --> 01:56:31.881 Stream.GigaOM.Bio if you want to share the videos afterward. 01:56:32.441 --> 01:56:32.982 See you later. 01:56:33.082 --> 01:56:35.604 Vitamin A is an interesting story. 01:56:37.585 --> 01:56:38.606 Anyway, see you guys again.