 Majority of the people just want to have a better quality of life. And a lot of the problems that we have today, especially now in our political environment, is talking about, let's say, automation. Or, oh, it's the rich people's fault or blah, blah, blah. Yeah, it's for votes. Everyone's blaming the fingers. For me, I view as... Obviously, there's always an educational problem. Education has to adapt. That's a place for everybody. But if we're talking about finances, if we're talking about the economy, if I'm talking about, for example, like real case studies, like my mom, right? Or my brother. Regardless of if my mom makes 60K or 80K a year, her buying power decreases every year and it decreases a lot. It's not like simply 2%. 2% is just inflation, right? You get all this quantitative easing and interest rates. Next thing you know, it's like fucking 7% maybe per year. So it's like, how is a person supposed to live? So if you look at the buying power, it's lost 70% since the 80s. The same dollar you had in 80 is worth 70% less today. And so where does this go? You see the trend line goes to zero. This is why I'm not too big of a favor of all these government handouts. I'm not against the government saying, fuck the government. I'm against the monetary system that we have. It doesn't help regular people. And so it's like, how do we increase buying power? How do we increase the ladies to buying power? If a person has more buying power, it helps the whole fucking economy. More people by real estate, more people will invest, more people will spend, but that's not the case. As we know, in North America, Canada, within North America, it's $400 savings. Average is a lot of people in dissavings also. Dissaving, yeah, average. Think about $400. That's a slim margin. You know, thank God we're in Canada. We have socialist healthcare system. Not the best, but I get a broken arm. I can go ER. Like ER is good. When it comes to social system, ER is good. Anything else? Not good. Not good. I give credit for ER. Like emergency related, like acute, like right now, I need to do it. Good. But preventative stuff or like, I remember I had some like pains and I need to go see a fuck. What's the doctor call for like the liver and everything? Neurologist. Neurologist. Neurologist. Neurologist. Yeah. And obviously it's not life threatening. It's not an issue. It's like eight month wait. I'm going to get the fuck. Wow. Yeah. Yeah. You know, they got to meet out like resources to like the most urgent things. It's pretty, it's pretty like calculate. I have some buddies that are doctors and they're not a waste that's happening in the system. I mean, I'm amazed when they tell me, well, so who comes and sees you? And he's like, 80% of the people are just there because they're bored and it's free. Really? Yeah. And one of the communities near here, I was like. Bored. As an American, I've driven myself to the hospital. I think three times with like fractures, like bike wreck. I mean, the whole thing is like, and I appreciate healthcare so much that I don't ever use it unless I have to even, I still think like, well, I want to conserve it for the people who actually need it. And I talked to my friends who are physicians and the things they tell me, I'm just like appalled. And so I'm not, I don't, not taking a political position on it, but I just think in terms of like caring about, if we're going to really care about the. You have a broken healthcare system. We're ranked pretty low when it comes to healthcare. And what domain? I'm fairly new in Canada. So what, is it like the quality of it? Yeah. It's a quality. Quality and time, time waiting for something. Who's good in the, in the realm of social. Is this UK good or? France, actually. France is good. They have a two tier system. They're socialist and private. So that's one of the trends in Canada, trying to people to push is more private. There's, was it male? Isn't there a male clinic here now that you could do private? Yeah. Listen, there's private, but it's not how you think it is. It's not like. It's like pay for play. It is, but it isn't. So there's your, there is a spectrum of what's allowed in private, right? There's a spectrum as opposed to United States is like, whatever the fuck you want to do. Walk. Yeah. Whatever you want to do. Basically. There's very strict laws of what is allowed privately in Canada. I mean, it really, really strict. Huh. And so if we want to make a much better and listen, dirty politics comes into play. Uh, blow to bureaucracy comes into play. Like there's a lot of factors for this. Let's sunk cost buys incentive models. People don't want to lose your position. Obviously, you don't seem to leave as a saying, like two biggest addictions is heroin and a fucking salary. So they got their, you know, fat ass salary. They don't want to lose their position. Yeah. It's like you're trying to kill like a virus or something. Uh, so ideally if you, I like to model everything in nature. Nature's the best sign as scientist. She's been here for what, six billion years. Quite some time. Yeah. Like on earth, but you know, Yeah, exactly. Right. Mother guy, let's say. Yeah. And nature's about competition and it's about conserving energy. All right. And if we look at systems today, uh, I'm a big believer in game theoretical models. And so if we only have one model, there's no competition. There's no incentive to improve anything whatsoever. And so for me, it's like, why don't we have a two tier system? Let's have private and obviously people, private's going to be expensive. I'm not here telling you private's not going to be expensive. Of course it's going to be fucking expensive and people that want to pay will pay. It's, uh, two parties are consenting to a transaction. Uh, you know, most, most Canadians that are looking for an FM, fMRI or nephrologist that I had to do or some form of a non-emergency. Let's say tests, they'll go to Buffalo. You pay it a pocket, you get your results in 24 hours walking, literally. It's like, how much? I don't know a couple hundred bucks or whatever it is, right? Um, but imagine you had that here. You would create a more streamlined competition. And I see now there's even fMRI. So somebody just created one for like new, new fMRI machine for $400,000. That's like less than half. Yeah, yeah. Just saw it. Yeah. That trend, the trend of lower imaging technology used to work in, uh, in healthcare. And the invention in dentistry was they had, um, 3D volumetric tomography machines you could get in office for like 250,000. Now they're less, but like replacing basically a high radiation cat scanner. And so a doctor could, could lease or buy this thing that would give you like one thousandth of the radiation of a cat scanner. And now it's available to the public. So technology, I mean, to kind of bring back in like technology is the great disruptor and the great equalizer. And so, and so when you talk about nature, like there are people kind of on the fringes thinking about things and those, whether it's the innovator thought, I'm going to create this X-ray machine, whether it's the fMRI machine that's cheaper or the X-ray machine that's much lower radiation in terms of microceiver. It's in cost. Like that innovation is that competition you're talking about in crypto. Is that competition I'm talking about? Like all the things that you're talking about kind of rope all back in DNA sequencing was like $10,000 when it first came out roughly. Now it's, you know, 23 to do like a full, full gene. Well, they don't do full, full gene. Yeah. They do just like simple stuff. So it's like 199. I don't know. Haven't done it. Haven't done it yet. Should we just never related? My dad's from Romania. Where are you from? For former Yugoslavia. Okay. Probably not. But yeah, I'm wary of doing it. Yeah. I'm a little uncomfortable about it too. I listened to one of my favorite podcasts lately is Hidden Forces. And let me pull up the last one right now. I'll send it to you afterwards. The latest episode was with Kyle Bass. And he was talking about the Chinese companies that do like, he mentioned 23 and me, they do majority of the gene sequencing for all these companies. And so it's, they, they offshore to China. And they have all the data. Oh, that's comforting. Yeah, exactly. He like, he mentioned that public. Yeah. Yeah. Crazy. Yeah. And so for me, I'm like, and I've still haven't done it. And I literally just listened to this episode. So if you guys are wondering, go check out Hidden Forces podcast. I'm feeling you're never going to do it now. You could go to like a private lab, but like, Yeah. There's one in BC. In fact, the BC lab, I forget the name of it, but if they're fucking doing it, if they have the machinery there, I'll do it there. Yeah. That's no problem. And it won't be under my fucking legal name either. It'll be John Doe. I'll pay cash. Like I don't want my name attached to that. You're related to outpatient services, they say. Yeah. I like privacy. Yeah. Like my goal in the future, like another way to make healthcare better is to have more interrupability of healthcare. Like even as an Ontario resident, I, it's very difficult for me to take almost impossible to take my medical medications from the Ontario government and to go to BC. It's very hard. Hmm. Very, very hard. And so this is why, in fact, a lot of times why there is malpractice in medicine, well, in Canada per se is there's a, there's a dissidence between communication between practitioners and different places. So like you go to one place or hospital, they have this data on you, but that data isn't shared over here. It's like the example of the United States like CIA, FBI, you have all these different like agents, but no one fucking shares data. It's kind of similar. Like they're not sharing data. So you don't have a cohesive unity of data. Uh-huh. So EMR has been around for ever, but it still is like archaic as it was when it was proposed. Yeah. Super archaic. So, you know, maybe there's a blockchain solution, maybe there's something that can like share information better. It just, it's really confusing to me. Ideally what I would like to see in the future is, there's also testing too much creates like double negatives. It's not always good to test. There's too many variables, right? Testing can cause X-rays themselves are damaging. Yeah, yeah, yeah. And also there's stuff like white coat syndrome, just a very act of going, seeing a doctor skews tests because you're just anxious and nervous. And so what I would like to see in the future, ideally is my dream would be a Star Trek tech where we have in-home units. So saliva, urine, the whole nine yards. Right? Let's say a unit like this. Yeah, yeah. Okay. That unit has my data. This is a node. It's not related to my name. Let's call me like, I'm a number, like number 12 or number 10. And it's encrypted, whatever encryption we want to use, like P2P encryption or whatever. And as a node, it's connected to an oracle. And the oracle is taking other nodes' information. And we can have some form of machine learning within these oracles that are doing pattern recognition. So let's say I'm using this machine on a quarterly basis, like a full thing. It can be like, let's say it does a Dutch test, it does all these metabolites of hormones. So like a panel. Like a panel, like beyond a full comprehend. I mean like full hormonal panel, cortisol panel, everything. Like we'll look at like top markers that matters. Maybe like you would come and do heart rate variability for that. Your devices communicate with that. Exactly. You could centralize healthcare. You know, I have like an aura ring that I wear. It shows my heart rate variability, my sleeping stuff. So we do this data aggregation. Yeah, yeah. And so basically let's say I do it every quarter for like the big panel, but on like a daily basis, taking like small markers, like heart rate variability, my oxygen, et cetera. And then we have this Oracle encrypted. I'm a number, but it's collecting a bigger reference sample pool of seeing patterns between other types of stuff. And let's say it sees something. It's preventative. I'm not looking for repair. Fuck repair medicine. I want preventative medicine. I don't want repair medicine. I don't want it before it's too late. I want early, early detection. Yeah, yeah. And so see something. It's like, oh, number 10 node, you know, it comes back to me. Ding, ding, ding, ding. We see this all or whatever. And it doesn't tell you like, well, we got the fucking super protocol for you. What it does is we've located in this neighborhood practitioners. So go pay attention. And then this can become like lead generation for the practitioners to them. Cause my wife's a doctor. I see it all the time, automatically just sitting there, seeing what she has to do. It's like, they spend a fucking lot of time just to test bullshit. Yeah. And they shouldn't. Yeah. Doctors as more should be on the human side of things. Ideally. Tests should be for robots at the end of the day. People are bad at analyzing data. And now there are a lot of people who are, they might be out of business like radiologists. Like you see that machine learning for analyzing. Yeah. I had this conversation. So my wife's cousin, he's an ER doctor. Yeah. And he, it's funny. We're just out a couple of days ago and he had pitched a similar idea to one you just mentioned, which I should probably not mention publicly, but it was like similar thought pattern. Yeah. Of like, hey, there's, he sees, just the amount of waste is really bothersome. And I think he's, you know, he's a smart guy and he was thinking technology and in a similar mechanism that you had described could solve some other problems that he sees on a regular basis that that is just bad for everybody that they're, that they're handled the way they're currently measuring. Yes. So I think that the fact that you're in parallel thinking with someone who, who is a doctor now sees people like in near death situations on a daily basis. Like, I imagine your wife is like a family practitioner where she's not seeing people like, you know, so, so there's like convergent thinking is telling me that the technology is there. We're all pointing in the same direction. I think someone is going to crack it. I'm sure people are working on it. And so I could definitely set you up with him. He's, he's again, he's a very entrepreneurial dude and he has like ready solutions. He's like, I see this every single day and this is me insane. And this would be a way to solve it. In the United States, they can do much better than we can over here. Unfortunately, in Canada, we have a high regulatory hurdle with our socialist, socialist health care system. It's like worse than like the FDA, like, or like the MAD, or like the medical system. A couple of reasons. One, it's a small country. Two, it's like the amount of capital and regulatory mental punishment you have to go through. It's not really worth it for Canada. Like it's easier. Not even as a pilot. Like it'd be like not somewhere with piling needs somewhere that's like a little more permissive. And a little bit more private because I have to somehow fit within our system. It can't be totally private. Like right now. Like you as like right now there's, there's very stringent laws of who's allowed to have access to your medical files. There should be. I mean, no, totally. But even you as an individual having access for them, there's for the longest time this change lately. It's really good that it changed. Like for example, LifeLabs is a popular lab over here. You would have to walk in to your doctor or walk back to LifeLabs to get your results. You can't like get a phone. Phone technically it's not in the scope. Security reasons phones aren't allowed. Even these cell fax days, some fucking doctor's office will not use email. They use fax because they consider more secure. I'm like, who the f... Where did you get this shit from? I'm like, you know, maybe just a carrier pigeon. Yeah, the better way to do it. Or like smoke signal. I'm not kidding. Fax, man. Fucking fax is insane. And so just recently, not too long ago, it was like, oh, thank you. Now I have email to receive my stuff. And so we're in the Stone Ages over here. And I think the only way that I see going back to using nature as an example, there's a great saying from, whether his name was Gall, that's called Gall's Law, where no complex organism, every valve from another complex organism, there is an evolutionary pathway where it's like simple organism or a single cellular, the multi cellular, then the cells get together, then it makes tissue and so forth and so forth. There's like a hierarchical level. It's not like, oh, boom, there we go. We got this thing. And this can be applied to anything. It's like, you can't just make a startup over nine to have a billion dollar company. You know what I mean? There's a process, right? Definitely. And so we can't just come in and be like, healthcare system changed. So ideally what would make sense where it's like, is there like a small town that we can run a pilot as you mentioned? You know, I don't want to give away the secret sauce of this person because he works very hard on these things, but I would mention that there are foreign countries that have databases that are much more welcoming and permissive for these kinds of things. For that crack, that would be like, so you have the software side and you have the hardware side. And then you have the regulatory side. So we were just talking about this and thinking, how would you launch something that would be, let's say stick with your example of preventive medicine? Yes. Like those are pretty difficult. I mean, just forget the regulatory for a second. Forget the hardware, just the software of like machine. There's also a lot of hype around AI. And I think you know this, but I feel like whenever you hear that word. Too much hype. It's not AI to begin with. I mean, it's funny. AI is what people have on slides when they're trying to pitch AI to somebody. Of course. Like even economists, we use regression all the time. That's in machine learning, but we don't like give it a sexy name. We just call it like, you know, ordinary least squares or panel date or time series, but like the public is like so enamored with this idea of AI. Like it's loops or it's, you know, other functions. I think when you sit down and tell people what, when people say AI today, so anyone listening whenever anybody's saying AI today probably 99.99% of time it's machine learning. Okay, but what that, what is that? The most algorithms that you see online or ML is literally just pattern recognition. That's all it is. It goes from filter one to filter two and down the line it goes. Recognizing logic. Recognizing patterns. Yeah. There you go. So yeah, it doesn't have wisdom, but it has the ability to move large amounts of data. Yes. That a human mind would not be able to look at like 20 million piece of data. Like you have, you know, put that on AWS and they can do that like split second. So I don't think AI is the penultimate solution. It is a tool. And going back to the radiologist thing, I asked him the same thing. I said, what about radiologists? Are they going to lose their jobs? He said, well, those that don't use technology are going to lose their jobs, which is true about anything. And so I think that we embrace technology versus trying to fight it. Like if it's better than human judgment, we should use it and be aware of its flaws, but we need to incorporate those things. I mean, but things, that's just what people are like that. Whatever it is, they're resisting forward movement and whatever it is because they're afraid or they're suspicious or whatever. And once those grounds are addressed, then I think that there's potential for things to evolve. The regulatory side, I think that if something's like political suicide, it's not going to happen regardless of how good it is for the public. I agree. I agree. And who's, you know, if all it takes is one screw up. I mean, look at what's happening with autonomous vehicles. Like how many people have gotten killed by autonomous vehicles? Like there was the one accident. Like I think it was in, it was in Texas. How do people get murdered every single day by people? Like your benchmark for perfection. A year is one million. I think it's like a million people die a year of car accidents. Our benchmark is inappropriate when we're looking at technology. People think zero is the appropriate number of mistakes, but like that's not the right number. The right number is what's the current best thing that the current system can do. And if we're doing a thousand times better than that with AI or autonomous,