1 00:00:04,600 --> 00:00:07,680 Speaker 1: So the big question is this, how do investors like 2 00:00:07,880 --> 00:00:11,800 Speaker 1: us get access to the ideas, information, and most importantly, 3 00:00:12,039 --> 00:00:14,880 Speaker 1: the right people that give us the tools and information 4 00:00:14,960 --> 00:00:19,000 Speaker 1: we need to make informed and educated decisions to have success. 5 00:00:19,600 --> 00:00:22,360 Speaker 1: That is the question, and this podcast will give us 6 00:00:22,360 --> 00:00:25,480 Speaker 1: the answers. This is Mark Moss, your host. Let's get 7 00:00:25,520 --> 00:00:28,760 Speaker 1: this started. Hello, and welcome to another episode of the 8 00:00:28,800 --> 00:00:32,920 Speaker 1: Market Disruptors podcast. Today, I'm sitting down with Rob Biglione, 9 00:00:33,200 --> 00:00:36,199 Speaker 1: co founder and CEO of zen Labs, and we are 10 00:00:36,280 --> 00:00:41,080 Speaker 1: talking about their Privacy coin, privacy platform, and privacy overall, 11 00:00:41,159 --> 00:00:44,440 Speaker 1: the need for privacy. We're talking about what the US 12 00:00:44,520 --> 00:00:48,839 Speaker 1: government is talking about encryption, putting in backdoors, why privacy 13 00:00:48,960 --> 00:00:51,400 Speaker 1: is important, what that fight of encryption looks like, and 14 00:00:51,440 --> 00:00:53,199 Speaker 1: then we get into some other topics. Rob is a 15 00:00:53,240 --> 00:00:57,280 Speaker 1: pH d in economics, so we get into economics, Austrian economics, 16 00:00:57,320 --> 00:00:59,560 Speaker 1: and so much more. It's a great conversation with Rob, 17 00:00:59,760 --> 00:01:02,240 Speaker 1: and just go ahead and jump right into it. Hey, everyone, 18 00:01:02,280 --> 00:01:05,119 Speaker 1: welcome to another episode of the Market Disruptors Podcast. Today, 19 00:01:05,160 --> 00:01:07,679 Speaker 1: I am joined by Rob Biglione. He is the CEO, 20 00:01:07,800 --> 00:01:12,680 Speaker 1: co founder of zen Labs, Horizon Cryptocurrency, and he's got 21 00:01:13,200 --> 00:01:15,760 Speaker 1: a very good background before that as well. It's very interesting. 22 00:01:15,760 --> 00:01:17,959 Speaker 1: We're gonna dive into UM but let's get into it. 23 00:01:18,000 --> 00:01:21,160 Speaker 1: Welcome Rob Hey, thanks for having me appreciate it. Yes, 24 00:01:21,240 --> 00:01:23,320 Speaker 1: we've got a couple of conversations in the past. It's 25 00:01:23,319 --> 00:01:25,600 Speaker 1: always a pleasure to talk. So thanks. Thanks for coming 26 00:01:25,640 --> 00:01:28,280 Speaker 1: back on UM. So I've got to know you pretty 27 00:01:28,280 --> 00:01:30,560 Speaker 1: good over the past. But for people that are listening 28 00:01:30,560 --> 00:01:32,600 Speaker 1: for the first time, why don't you give us your background, 29 00:01:32,640 --> 00:01:34,240 Speaker 1: which I think is very interesting in kind of your 30 00:01:34,280 --> 00:01:36,960 Speaker 1: path into cryptocurrencies and what you're working on right now. 31 00:01:37,520 --> 00:01:40,160 Speaker 1: Totally So at my background, Actually, I started my career 32 00:01:40,480 --> 00:01:44,280 Speaker 1: as a physicist and mathematician working UH with the military. 33 00:01:44,319 --> 00:01:46,720 Speaker 1: So I was an Air Force officer, worked in Air 34 00:01:46,760 --> 00:01:50,200 Speaker 1: Force Space commander, working on satellites and intelligence systems and 35 00:01:51,040 --> 00:01:53,760 Speaker 1: rockets that launch them up. And from there I went 36 00:01:53,760 --> 00:01:55,920 Speaker 1: into the more of the operational side of the intelligence 37 00:01:55,960 --> 00:01:59,320 Speaker 1: world and actually parked myself in Afghanistan for a couple 38 00:01:59,320 --> 00:02:02,800 Speaker 1: of years doing initially a counter i E ed mission. 39 00:02:03,240 --> 00:02:06,520 Speaker 1: It was really quant a quant intel work, and then 40 00:02:06,640 --> 00:02:09,240 Speaker 1: started working with a bunch of different parts of the 41 00:02:09,240 --> 00:02:12,680 Speaker 1: military and a bunch of different missions over there UH, 42 00:02:12,680 --> 00:02:16,280 Speaker 1: and then from there I got lucky enough to have 43 00:02:16,360 --> 00:02:18,840 Speaker 1: the opportunity to go back to academia, so I left 44 00:02:18,880 --> 00:02:23,320 Speaker 1: that world, went back to from my PhD in financial economics, 45 00:02:23,560 --> 00:02:26,880 Speaker 1: and I had a very good departments that allowed me 46 00:02:27,040 --> 00:02:30,880 Speaker 1: to study bitcoin. I was studying asset pricing specifically, and 47 00:02:30,919 --> 00:02:33,440 Speaker 1: then they allowed me to actually look at bitcoin asset pricing, 48 00:02:33,520 --> 00:02:36,120 Speaker 1: so that was fun. Um. They hired me back as 49 00:02:36,160 --> 00:02:40,520 Speaker 1: an adjunct faculty member to teach bitcoin in boxing applications 50 00:02:40,560 --> 00:02:44,120 Speaker 1: and finance, and then I launched zen cash back into 51 00:02:44,320 --> 00:02:47,680 Speaker 1: the seventeen with my cocount row first Loose and we 52 00:02:47,760 --> 00:02:50,480 Speaker 1: ran that as an open um, you know, public boxing 53 00:02:50,520 --> 00:02:53,520 Speaker 1: system for a couple of years, and just recently in 54 00:02:53,560 --> 00:02:56,560 Speaker 1: this January, we launched an off shoot, basically a commercial 55 00:02:56,560 --> 00:02:59,920 Speaker 1: offshoot called Horizon Labs, which is really taking the base 56 00:03:00,240 --> 00:03:02,320 Speaker 1: protocol technology that we've created there and we can talk 57 00:03:02,360 --> 00:03:05,320 Speaker 1: about that, but bringing that to the commercial domain and 58 00:03:05,360 --> 00:03:08,120 Speaker 1: really just trying to get that next level exposure for 59 00:03:08,160 --> 00:03:11,720 Speaker 1: the tech and then the real economic use cases. So 60 00:03:11,960 --> 00:03:14,960 Speaker 1: um Horizons in which used to be zen cash, now 61 00:03:15,000 --> 00:03:18,880 Speaker 1: Horizon is a is a privacy coin right forked off 62 00:03:18,880 --> 00:03:22,640 Speaker 1: of z cash and z classic, etcetera. But you have 63 00:03:22,800 --> 00:03:26,560 Speaker 1: your privacy coin, and then you went on to become 64 00:03:26,720 --> 00:03:28,959 Speaker 1: more of a privacy protocol where you could build privacy 65 00:03:29,000 --> 00:03:32,320 Speaker 1: applications such as private messenger, private storage, etcetera. So it's 66 00:03:32,320 --> 00:03:34,640 Speaker 1: not what you're talking about taking that layer and putting 67 00:03:34,680 --> 00:03:37,440 Speaker 1: that out of Rising Labs. That's exactly right. So actually, 68 00:03:37,680 --> 00:03:40,680 Speaker 1: to be specific, we're we're a few months away now 69 00:03:40,720 --> 00:03:44,040 Speaker 1: from releasing an alpha of our side chain protocol. So 70 00:03:44,120 --> 00:03:45,800 Speaker 1: the way that we're looking at this, and really the 71 00:03:46,040 --> 00:03:51,360 Speaker 1: that pivot from a privacy coin to a platform is 72 00:03:51,520 --> 00:03:53,280 Speaker 1: via side chain. So the way we look at it 73 00:03:53,320 --> 00:03:55,280 Speaker 1: is we want to create a hub and spoke sort 74 00:03:55,320 --> 00:03:57,480 Speaker 1: of model where you have a very stable, secure main 75 00:03:57,560 --> 00:04:00,120 Speaker 1: chain and then you have all the applications of the 76 00:04:00,280 --> 00:04:03,120 Speaker 1: logic and business logic and anything that you want to 77 00:04:03,120 --> 00:04:05,480 Speaker 1: do bespoke, um, you can do on a side chain, 78 00:04:05,520 --> 00:04:06,960 Speaker 1: and you can have your own side chains. You can 79 00:04:07,000 --> 00:04:09,839 Speaker 1: have any number of side chains. Really that that part 80 00:04:09,920 --> 00:04:13,200 Speaker 1: is not really bounded um and then it doesn't the 81 00:04:13,640 --> 00:04:16,320 Speaker 1: stuff that happens on the sessions doesn't necessarily clog up 82 00:04:16,400 --> 00:04:18,479 Speaker 1: the main chain. All that goes to the main chain 83 00:04:18,520 --> 00:04:21,520 Speaker 1: is basically the security feature. In the fact that's consensus 84 00:04:21,520 --> 00:04:23,680 Speaker 1: on the side chains the met So this is our 85 00:04:23,839 --> 00:04:27,640 Speaker 1: our solution for skillability basically and really where I think 86 00:04:27,720 --> 00:04:30,400 Speaker 1: we will be industry leaders once we're release this because 87 00:04:31,080 --> 00:04:33,839 Speaker 1: it's a truly unfederated side chain system. And when we 88 00:04:33,839 --> 00:04:36,839 Speaker 1: talk about philosophy and you know, what we're doing later 89 00:04:36,839 --> 00:04:39,080 Speaker 1: in the show, we can talk about that, but I 90 00:04:39,080 --> 00:04:42,280 Speaker 1: think it's really important to be truly decentralized. And the 91 00:04:42,320 --> 00:04:45,880 Speaker 1: side chaine systems on the market to date have been centralized, 92 00:04:45,960 --> 00:04:48,600 Speaker 1: so those where you have to rely on trusted nodes 93 00:04:48,680 --> 00:04:54,000 Speaker 1: or trusted certifiers. Ours is truly decentralized, one where the 94 00:04:54,040 --> 00:04:55,800 Speaker 1: main chain doesn't even have to know what happens in 95 00:04:55,800 --> 00:04:58,880 Speaker 1: the side chain. No one approves or you know, authorizes 96 00:04:58,880 --> 00:05:01,560 Speaker 1: of the side chain to exist. It's just any aptive 97 00:05:01,600 --> 00:05:04,200 Speaker 1: offering and take our toolkit, launce there on blockchain is 98 00:05:04,200 --> 00:05:05,960 Speaker 1: the horizon side chain, and do whatever they want on 99 00:05:06,000 --> 00:05:09,680 Speaker 1: that chain and still retain the security properties of you know, 100 00:05:09,760 --> 00:05:13,480 Speaker 1: our public architecture. Interesting, so a lot of times we'll see, 101 00:05:13,480 --> 00:05:16,279 Speaker 1: like with Lightning for example, as a side chain of Bitcoin, 102 00:05:16,560 --> 00:05:20,480 Speaker 1: Lightning is more centralized and solutely yeah less, it's less 103 00:05:20,560 --> 00:05:24,280 Speaker 1: it's you know, it's less secure than the decentralized main chain. Um. 104 00:05:24,440 --> 00:05:27,920 Speaker 1: So typically I think of side chains is less less secure, right, Uh, 105 00:05:28,440 --> 00:05:30,440 Speaker 1: but you're saying there's a way that you guys can 106 00:05:30,480 --> 00:05:33,480 Speaker 1: keep a side chain but still keep its security or decentralization. 107 00:05:33,480 --> 00:05:36,720 Speaker 1: There absolutely like massively secure. So we're actually using an 108 00:05:36,760 --> 00:05:40,000 Speaker 1: interesting recursive snark technique for security and leveraging our thirty 109 00:05:40,000 --> 00:05:44,239 Speaker 1: thousand nodes basically are are super and secure notes system. 110 00:05:44,240 --> 00:05:46,520 Speaker 1: They have close to a third about thirty thousand nodes 111 00:05:46,600 --> 00:05:48,719 Speaker 1: right now like full nodes operating in the network, and 112 00:05:48,760 --> 00:05:52,320 Speaker 1: they will be basically a competitive marketplace for them to 113 00:05:52,320 --> 00:05:55,599 Speaker 1: be certifying nodes. So you'll have a massive note network 114 00:05:55,640 --> 00:05:58,840 Speaker 1: where basically, um, you know, all of these notes will 115 00:05:58,839 --> 00:06:02,039 Speaker 1: have the opportunity to act certifiers or forgers on on 116 00:06:02,080 --> 00:06:05,280 Speaker 1: the side chains and also actively hunting and sent to 117 00:06:05,320 --> 00:06:08,200 Speaker 1: byst the hunt for fraud uh and uncover fraud. So 118 00:06:08,240 --> 00:06:12,080 Speaker 1: it's actually extremely secure system. That's that's nice hybrid public 119 00:06:12,120 --> 00:06:16,919 Speaker 1: private architecture. Yeah. I remember you guys had suffered an attack, 120 00:06:17,360 --> 00:06:19,159 Speaker 1: um that you caught pretty quickly and you got really 121 00:06:19,160 --> 00:06:20,680 Speaker 1: in front of which I really thought that the way 122 00:06:20,680 --> 00:06:22,839 Speaker 1: you handled that was good, um, and you made some 123 00:06:22,920 --> 00:06:26,120 Speaker 1: updates to the system, so um, I believe if incorrect, 124 00:06:26,120 --> 00:06:28,720 Speaker 1: me if I'm wrong. But after that you had updated 125 00:06:28,760 --> 00:06:31,120 Speaker 1: system and even changed the way maybe the consensus work 126 00:06:31,200 --> 00:06:34,600 Speaker 1: so that even though um, your chain might be, let's 127 00:06:34,640 --> 00:06:37,559 Speaker 1: have less value than the Bitcoin main chain, it doesn't 128 00:06:37,560 --> 00:06:40,320 Speaker 1: make it easier to attack. That's exactly right. Yeah, So 129 00:06:40,480 --> 00:06:43,240 Speaker 1: what we did was we modified the macomotive consensus. So 130 00:06:43,279 --> 00:06:46,680 Speaker 1: instead of just being um, you know, I'll say, naively, 131 00:06:46,839 --> 00:06:50,160 Speaker 1: just the longest chain role you know, the most the 132 00:06:50,160 --> 00:06:53,719 Speaker 1: most proof of work, um, you know, dictating which which 133 00:06:54,640 --> 00:06:56,560 Speaker 1: branch of a chain gets to be the valid one, 134 00:06:56,680 --> 00:06:59,599 Speaker 1: we added a second check which basically provides a delayed 135 00:06:59,600 --> 00:07:03,000 Speaker 1: block penalty. So that so the attack vector for this 136 00:07:03,040 --> 00:07:05,400 Speaker 1: fift one percent attack thing is basically you would have 137 00:07:05,600 --> 00:07:08,760 Speaker 1: a neferious actor mining privately and then all of a 138 00:07:08,800 --> 00:07:11,400 Speaker 1: sudden dumping all of these box of devine privately into 139 00:07:11,440 --> 00:07:14,200 Speaker 1: the network and scooping the network into thinking that it 140 00:07:14,200 --> 00:07:16,480 Speaker 1: has the most accumulated pro for work, and then they 141 00:07:16,480 --> 00:07:18,520 Speaker 1: can execute double spends. And this happened to us. We 142 00:07:18,560 --> 00:07:21,920 Speaker 1: had a few double spends that were executed or basically, um, 143 00:07:21,960 --> 00:07:23,480 Speaker 1: you know, a hacker or whatever you wanna call this 144 00:07:23,560 --> 00:07:26,160 Speaker 1: type of criminal stole a few hundred thous dollars from 145 00:07:26,160 --> 00:07:28,760 Speaker 1: an exchange it lists that. Um. So it was a 146 00:07:28,840 --> 00:07:31,720 Speaker 1: terrible event, but not catastrophic. What it did was it 147 00:07:31,800 --> 00:07:34,320 Speaker 1: really kicked us into gear to try to solve this 148 00:07:34,360 --> 00:07:37,000 Speaker 1: problem for the industry and for us of course, so 149 00:07:37,160 --> 00:07:39,200 Speaker 1: we added this second check. So it's really a two 150 00:07:39,280 --> 00:07:42,800 Speaker 1: checks type of consensus. Now it makes us much more robust. 151 00:07:43,000 --> 00:07:46,640 Speaker 1: If you know, without it, then we are without it. Um. Now. 152 00:07:47,000 --> 00:07:49,600 Speaker 1: Not not to say like bitcoin is massively secure because 153 00:07:49,600 --> 00:07:51,880 Speaker 1: it has a ridiculous amount of per for work on there. 154 00:07:52,160 --> 00:07:55,960 Speaker 1: We have a miniscule amount of work, but our penalty function, 155 00:07:56,000 --> 00:07:59,720 Speaker 1: we can actually modulate that to be as escalated quickly 156 00:07:59,840 --> 00:08:01,800 Speaker 1: be on it to be and right now it's you know, 157 00:08:01,800 --> 00:08:03,800 Speaker 1: it seems to be more than sufficient to protect us. 158 00:08:04,640 --> 00:08:07,760 Speaker 1: Yeah that's good now. UM. I know, with new technologies 159 00:08:07,800 --> 00:08:10,480 Speaker 1: we can't really envision the future because they give us 160 00:08:10,560 --> 00:08:13,000 Speaker 1: new platforms to build new things off of. We can't imagine, 161 00:08:13,080 --> 00:08:15,560 Speaker 1: but um, as best as we can. What do you 162 00:08:15,600 --> 00:08:18,040 Speaker 1: see being done on these side changes at least now 163 00:08:18,160 --> 00:08:21,240 Speaker 1: or in the near future. Yeah, I mean, so there 164 00:08:21,240 --> 00:08:23,560 Speaker 1: there's a ton and actually are we we have a 165 00:08:23,600 --> 00:08:25,920 Speaker 1: go to market strategy we have a great strategy marketing 166 00:08:26,000 --> 00:08:28,360 Speaker 1: bad team, and they've already been carving out projects with 167 00:08:28,440 --> 00:08:31,320 Speaker 1: select design partners. So basically, right out of the gate, 168 00:08:31,360 --> 00:08:34,480 Speaker 1: once our alpha's released, you're gonna hear an announcement for 169 00:08:35,160 --> 00:08:38,600 Speaker 1: some key companies and projects that we're working on. Two 170 00:08:39,040 --> 00:08:41,760 Speaker 1: showcase the technology. So for instance, one of them is 171 00:08:42,120 --> 00:08:46,240 Speaker 1: a large digital invoicing company in Latin America looking at 172 00:08:46,520 --> 00:08:51,920 Speaker 1: um integrating cryptocurrency payments, looking to do things like factoring marketplaces. 173 00:08:51,920 --> 00:08:55,920 Speaker 1: So if their clients have receivables or payables these notes, 174 00:08:56,120 --> 00:08:59,240 Speaker 1: they can actually digitize them, you know, standardize them, make 175 00:08:59,280 --> 00:09:02,600 Speaker 1: them transparent, and put them into an auction marketplace environment. 176 00:09:02,640 --> 00:09:05,680 Speaker 1: So that's something we're looking at. By by doing that 177 00:09:05,679 --> 00:09:08,120 Speaker 1: side chain, they have their own token exactly, so they 178 00:09:08,160 --> 00:09:11,120 Speaker 1: have the token their own system. So basically, if if 179 00:09:11,160 --> 00:09:14,040 Speaker 1: their system becomes massively popular, it's theirs. They control it. 180 00:09:14,280 --> 00:09:18,840 Speaker 1: And then importantly, we provide our software developer toolkit provides 181 00:09:18,840 --> 00:09:21,600 Speaker 1: a basically a reference blockchain model and a whole bunch 182 00:09:21,600 --> 00:09:24,200 Speaker 1: of tools, but they can modify the consensus and at 183 00:09:24,200 --> 00:09:26,480 Speaker 1: any type of transaction type they want from there to 184 00:09:26,559 --> 00:09:31,040 Speaker 1: really make it very bespoken configurable to their needs. Okay, yeah, 185 00:09:31,080 --> 00:09:33,840 Speaker 1: so so that that's one of them. Um. So also 186 00:09:34,120 --> 00:09:37,360 Speaker 1: there's another projects looking at a factory marketplace seems to 187 00:09:37,360 --> 00:09:40,480 Speaker 1: be a pretty hot topic, and another auction environment looking 188 00:09:40,520 --> 00:09:43,880 Speaker 1: at a tokenization platform, looking at working with one of 189 00:09:43,920 --> 00:09:46,719 Speaker 1: the main maintainers for a version of hyper Ledger that 190 00:09:46,800 --> 00:09:48,920 Speaker 1: has an e v M UH and seeing if maybe 191 00:09:49,000 --> 00:09:51,880 Speaker 1: we can put in UH an e v M variant 192 00:09:51,920 --> 00:09:54,520 Speaker 1: of hyper Ledger running as a Horizon side chain. So 193 00:09:54,640 --> 00:09:56,840 Speaker 1: it just shows you the generalizability of it as long 194 00:09:56,880 --> 00:09:59,840 Speaker 1: as UM an a v M an Ethereum virtual machine, 195 00:10:00,080 --> 00:10:02,720 Speaker 1: so exactly right, So an Etherium virtual machine as a 196 00:10:02,720 --> 00:10:06,040 Speaker 1: side chain on the Horizon main chain exactly. And in 197 00:10:06,080 --> 00:10:08,439 Speaker 1: that sense, it means that any smart contract that was 198 00:10:08,480 --> 00:10:11,880 Speaker 1: written on Ethereum would be compatible to basically just kind 199 00:10:11,880 --> 00:10:15,000 Speaker 1: of ported over to work with US. Now wouldn't interact 200 00:10:15,160 --> 00:10:17,920 Speaker 1: with the you know, the Ethereum chain, but you're basically 201 00:10:17,960 --> 00:10:21,040 Speaker 1: replicating the same type of you know, infrastructure that then 202 00:10:21,040 --> 00:10:26,079 Speaker 1: they can build on us as an alternative. Okay, yeah, okay. Interesting. 203 00:10:26,440 --> 00:10:28,920 Speaker 1: Um So you know when we talk about like bass 204 00:10:29,040 --> 00:10:31,559 Speaker 1: layers and then we add chains and layers and side 205 00:10:31,600 --> 00:10:33,880 Speaker 1: chains and all these different things on there, Um I 206 00:10:33,880 --> 00:10:39,160 Speaker 1: mean that's kind of how things scale. Um, what about like, 207 00:10:39,840 --> 00:10:43,480 Speaker 1: um using like side chain or some sort of like 208 00:10:43,559 --> 00:10:47,080 Speaker 1: horizon side chain to like add like a a privacy 209 00:10:47,160 --> 00:10:49,520 Speaker 1: layer on top of a bitcoin, like a side chain 210 00:10:49,520 --> 00:10:53,439 Speaker 1: of bitcoin. There's some sort of like interoperability like that. 211 00:10:53,440 --> 00:10:56,200 Speaker 1: That's interesting. That's a really interesting question. We honestly have 212 00:10:56,240 --> 00:10:59,320 Speaker 1: not thought about that. So that's that's something to consider. Yeah, 213 00:10:59,360 --> 00:11:01,559 Speaker 1: I mean it's you know, there's a whole bunch of 214 00:11:01,640 --> 00:11:03,520 Speaker 1: other stuff. What I like about the side chain model 215 00:11:03,600 --> 00:11:06,880 Speaker 1: is you can experiment with any type of system as 216 00:11:06,880 --> 00:11:09,160 Speaker 1: a side chain, and rather than the launster room blockchain 217 00:11:09,200 --> 00:11:12,400 Speaker 1: and figure out how you do this big big launching 218 00:11:12,440 --> 00:11:14,400 Speaker 1: and convince people to run your software, you can just 219 00:11:14,440 --> 00:11:17,560 Speaker 1: do it a small experiment on the side chain. Modify 220 00:11:17,720 --> 00:11:20,319 Speaker 1: the you know, the privacy features, modify the applications you 221 00:11:20,400 --> 00:11:25,360 Speaker 1: running their, modify consensus. Uh. It's an excellent experimental environment. Yeah. 222 00:11:25,400 --> 00:11:27,880 Speaker 1: You could almost like, uh, you know, I don't know, 223 00:11:27,920 --> 00:11:30,480 Speaker 1: maybe wrap wrap the wrap the bitcoin with us in 224 00:11:30,760 --> 00:11:33,520 Speaker 1: privacy coin and then uh and then add like a 225 00:11:33,559 --> 00:11:36,000 Speaker 1: privacy layer on top of the bitcoin network or something 226 00:11:36,040 --> 00:11:39,920 Speaker 1: like that. UM, I don't know, I've I often just 227 00:11:39,920 --> 00:11:42,080 Speaker 1: thought about like you know, obviously bitcoin is missing a 228 00:11:42,200 --> 00:11:44,880 Speaker 1: huge piece of that of privacy. It's a it's a 229 00:11:45,040 --> 00:11:47,560 Speaker 1: it's a big glaring hole that maybe they'll get to 230 00:11:47,600 --> 00:11:49,680 Speaker 1: at some point. But then there's a good solutions like 231 00:11:49,679 --> 00:11:52,480 Speaker 1: like uh like Horizon and I just wondered about that, 232 00:11:52,520 --> 00:11:54,360 Speaker 1: But I'm not I'm not the guy to figure that 233 00:11:54,400 --> 00:11:58,840 Speaker 1: out by any means. Uh, But I definitely understand that 234 00:11:58,880 --> 00:12:01,720 Speaker 1: the need for privacy. You know, from your background, you 235 00:12:01,760 --> 00:12:04,160 Speaker 1: were in the military, and I think you were working 236 00:12:04,200 --> 00:12:06,760 Speaker 1: on some sort of like encryption stuff there or some 237 00:12:06,840 --> 00:12:09,960 Speaker 1: sort of reconnaissance intelligence or something. Yeah, I mean definitely 238 00:12:10,000 --> 00:12:14,760 Speaker 1: encrypted systems, but really from the intelligence satellite perspective. Okay, 239 00:12:14,760 --> 00:12:18,520 Speaker 1: So but encryption, and so you understand you understand kind 240 00:12:18,559 --> 00:12:21,480 Speaker 1: of the need for that. Um, what do you think 241 00:12:21,520 --> 00:12:25,480 Speaker 1: about the need for privacy and the maybe the war 242 00:12:25,559 --> 00:12:28,679 Speaker 1: on privacy that we have today. I think maybe specifically 243 00:12:28,720 --> 00:12:34,040 Speaker 1: about um, you know, them calling for an end to encryption, right, 244 00:12:34,080 --> 00:12:37,480 Speaker 1: I mean, so trying to stay above the line with 245 00:12:37,559 --> 00:12:42,560 Speaker 1: the thinking is I I I've seen you know, the 246 00:12:42,679 --> 00:12:47,560 Speaker 1: downsides of um, you know, or I guess said, there's 247 00:12:47,559 --> 00:12:50,400 Speaker 1: a downside to people being able to hide and obfuscate, 248 00:12:50,559 --> 00:12:52,840 Speaker 1: you know, bad behavior, right, we all know that no 249 00:12:52,880 --> 00:12:55,480 Speaker 1: one's trying to argue against that. I think you would 250 00:12:55,520 --> 00:13:00,080 Speaker 1: be a big shame though, if regulators, um didn't I 251 00:13:00,120 --> 00:13:01,800 Speaker 1: take the time to understand what we're doing and all 252 00:13:01,840 --> 00:13:04,120 Speaker 1: of the social and economic good and value that comes 253 00:13:04,160 --> 00:13:07,920 Speaker 1: with actually allowing people, uh, you know, privacy, which is 254 00:13:07,960 --> 00:13:10,360 Speaker 1: kind of a shame or philosophically weird to say, allow 255 00:13:10,440 --> 00:13:12,400 Speaker 1: people to have privacy, because I think we have a 256 00:13:12,480 --> 00:13:14,640 Speaker 1: right to it to begin with, right, Um, So I 257 00:13:14,880 --> 00:13:18,520 Speaker 1: guess my my persecative is there are bad people out there, 258 00:13:18,600 --> 00:13:21,040 Speaker 1: and bad people can do bad things. We all know this, 259 00:13:21,240 --> 00:13:23,280 Speaker 1: and it would suck if they use their technology to 260 00:13:23,280 --> 00:13:25,760 Speaker 1: do it. They use cell phones, they use dollars, right, 261 00:13:25,800 --> 00:13:28,440 Speaker 1: they use all the tools that are currently exist. Uh. 262 00:13:28,480 --> 00:13:31,360 Speaker 1: And yet we know that cell phones, you know, and 263 00:13:31,480 --> 00:13:34,160 Speaker 1: encryption on cell phones is absolutely critical, and the abilities 264 00:13:34,200 --> 00:13:36,840 Speaker 1: for people to communicate with each other has unleashed quite 265 00:13:36,880 --> 00:13:39,800 Speaker 1: trillions of dollars with economic value and social good. So 266 00:13:40,480 --> 00:13:42,679 Speaker 1: I really hope regulators take their time to do their 267 00:13:42,720 --> 00:13:46,600 Speaker 1: due diligence and don't overreact and take you know, these 268 00:13:46,679 --> 00:13:50,560 Speaker 1: kind of like strong man examples of terrible scenarios and 269 00:13:50,600 --> 00:13:52,800 Speaker 1: try to destroy the intern industry would just be a disaster. 270 00:13:53,080 --> 00:13:56,000 Speaker 1: I think when they get into those hyped up examples 271 00:13:56,040 --> 00:13:57,960 Speaker 1: like you said, you know, like uh, I think it 272 00:13:58,040 --> 00:14:00,440 Speaker 1: was Obama you said, you know, if we can save 273 00:14:00,559 --> 00:14:04,559 Speaker 1: one life, really so we're going to destroy the entire 274 00:14:05,320 --> 00:14:08,840 Speaker 1: constitution and and and and start a civil war to 275 00:14:08,920 --> 00:14:12,120 Speaker 1: save one life, and then how many lives get destroyed 276 00:14:12,720 --> 00:14:15,600 Speaker 1: after weigh the good and the bad and and uh 277 00:14:15,679 --> 00:14:18,559 Speaker 1: and and it's almost like, um, you know, I could 278 00:14:18,600 --> 00:14:21,520 Speaker 1: whisper a secret to you, and how are they going 279 00:14:21,520 --> 00:14:23,240 Speaker 1: to regulate that? But because now I want to share 280 00:14:23,240 --> 00:14:25,880 Speaker 1: a secret with you over communication, now said it has 281 00:14:25,920 --> 00:14:29,880 Speaker 1: to be listened to, right exactly? You know, yeah, I 282 00:14:29,920 --> 00:14:33,000 Speaker 1: wouldna say. The argumentative technique is to come up with that. 283 00:14:33,480 --> 00:14:36,320 Speaker 1: You know that that micro example that just you know 284 00:14:36,440 --> 00:14:38,600 Speaker 1: is in your face. Look at this kid that was 285 00:14:38,720 --> 00:14:42,760 Speaker 1: killed from this you know, predator who used encryption somehow. 286 00:14:43,120 --> 00:14:45,920 Speaker 1: It's a horrible example and it just it listed at 287 00:14:45,960 --> 00:14:49,160 Speaker 1: list it's emotions. And then on the other hand, you said, hey, Constitution, 288 00:14:49,240 --> 00:14:51,520 Speaker 1: Bill of Rights, you can't do that, and this kind 289 00:14:51,520 --> 00:14:55,280 Speaker 1: of like abstract argument, and people just naturally flow towards 290 00:14:55,360 --> 00:14:59,960 Speaker 1: that emotional argument, and it's easy to forget you know that. Well, 291 00:15:00,120 --> 00:15:02,800 Speaker 1: if you violate human rights, and you violate the Constitution 292 00:15:02,800 --> 00:15:04,680 Speaker 1: and Bill of Rights, you can have a whole lot 293 00:15:04,760 --> 00:15:08,040 Speaker 1: more destruction that happens. I think, I think we can 294 00:15:08,040 --> 00:15:10,360 Speaker 1: see all the hot button issues, uh that that are 295 00:15:10,360 --> 00:15:14,440 Speaker 1: discussed politically have gone from um, logical arguments to emotional arguments. 296 00:15:14,760 --> 00:15:18,400 Speaker 1: So most of these things, uh, you know, I don't 297 00:15:18,440 --> 00:15:20,280 Speaker 1: even want to say, but you know, whether it be 298 00:15:20,400 --> 00:15:24,400 Speaker 1: guns or vaccines or whatever, Um, you can't have a 299 00:15:24,440 --> 00:15:27,360 Speaker 1: logical conversation, even climate change, you can't have a logical conversation. 300 00:15:27,360 --> 00:15:29,440 Speaker 1: It's always an emotional one. And then you you can't 301 00:15:29,840 --> 00:15:33,240 Speaker 1: can't reason with with emotion, right, Yeah, exactly, No, I 302 00:15:33,240 --> 00:15:36,800 Speaker 1: completely agree, and and that's really a shame and it's insulting. Yeah, 303 00:15:36,840 --> 00:15:40,600 Speaker 1: it's insulting. Curious though, UM, what you think about this 304 00:15:40,640 --> 00:15:43,480 Speaker 1: attack on privacy, not from a philosophical level but from 305 00:15:43,560 --> 00:15:47,120 Speaker 1: being a US based company? H what does that look like? 306 00:15:47,280 --> 00:15:50,000 Speaker 1: Do you think? I mean, I'll just have you out 307 00:15:50,000 --> 00:15:52,080 Speaker 1: this with, Hey, we're US based companies, so we have 308 00:15:52,120 --> 00:15:54,520 Speaker 1: to comply with US law. We have no intention of 309 00:15:54,640 --> 00:15:59,000 Speaker 1: not doing that. But sometimes I don't I'm optimistic on it. 310 00:15:59,040 --> 00:16:01,800 Speaker 1: I don't think that these strawman arguments and kind of 311 00:16:01,800 --> 00:16:04,960 Speaker 1: doomsday scenarios that get pulled out out for you know, 312 00:16:05,280 --> 00:16:08,360 Speaker 1: pr opportunities. I don't think that they're gonna carry the 313 00:16:08,400 --> 00:16:10,360 Speaker 1: day and we're going to see destruction of privacy. I 314 00:16:10,360 --> 00:16:14,480 Speaker 1: don't think we'll ever see a backdoor on you know, iPhones, 315 00:16:14,600 --> 00:16:16,840 Speaker 1: or at least one is legislated, And of course there's 316 00:16:16,840 --> 00:16:19,040 Speaker 1: all those agencies that can do that with you know, 317 00:16:19,200 --> 00:16:21,880 Speaker 1: illegally without us knowing, and then hopefully we catch them. 318 00:16:22,480 --> 00:16:25,120 Speaker 1: M But you know, so I'm optimistic. I think that 319 00:16:25,440 --> 00:16:29,880 Speaker 1: it's pretty it's pretty well established that code is sort 320 00:16:29,920 --> 00:16:33,040 Speaker 1: of a kind of a freedom of speech element, and 321 00:16:33,080 --> 00:16:36,440 Speaker 1: you can't repress code, you can't try to violate the 322 00:16:36,440 --> 00:16:40,120 Speaker 1: mathematics of encryption. Sorry, just doesn't happen, right, So I 323 00:16:40,120 --> 00:16:43,920 Speaker 1: I I don't think we're gonna have this dystopian um outcome. 324 00:16:44,080 --> 00:16:47,280 Speaker 1: I really hope not. Yeah, I I would agree. I mean, 325 00:16:47,280 --> 00:16:50,280 Speaker 1: they're gonna basically have to blow up the Constitution, right, 326 00:16:50,280 --> 00:16:53,520 Speaker 1: I mean, yeah, exactly that that the argument will come 327 00:16:53,560 --> 00:16:55,920 Speaker 1: back down to the right to freedom of speech, and 328 00:16:55,920 --> 00:16:58,200 Speaker 1: and that's gonna be a very tough one for people 329 00:16:58,240 --> 00:17:01,400 Speaker 1: to swallow. Although it's been interesting to see what's happened 330 00:17:01,400 --> 00:17:05,040 Speaker 1: on the digital Uh like the three D printed gun front. Yeah, 331 00:17:05,640 --> 00:17:08,560 Speaker 1: trying to claim that freedom of speech as well. Yep, 332 00:17:09,600 --> 00:17:12,639 Speaker 1: but what about um, I mean that would be affecting 333 00:17:12,880 --> 00:17:17,600 Speaker 1: I guess US companies. But there's plenty of blockchain, cryptocurrency 334 00:17:17,680 --> 00:17:21,280 Speaker 1: encryption stuff going overseas then, right right, yeah, yeah, absolutely so. 335 00:17:21,400 --> 00:17:23,959 Speaker 1: In fact, what I view as an imperative for US 336 00:17:24,000 --> 00:17:26,120 Speaker 1: as a project and horizon and for the entire industry 337 00:17:26,160 --> 00:17:28,840 Speaker 1: is we have to decentralize, and we have to decentralize fast, 338 00:17:29,280 --> 00:17:31,639 Speaker 1: because you don't want single points of failure where it's 339 00:17:31,640 --> 00:17:34,760 Speaker 1: the US government says, hey, Rob, we're shutting you guys down. 340 00:17:35,240 --> 00:17:38,440 Speaker 1: Stop doing what you're doing, right, um, freeze money. I 341 00:17:38,840 --> 00:17:41,480 Speaker 1: mean if if you have points of failure and you 342 00:17:41,520 --> 00:17:43,760 Speaker 1: have humans in the loop, of course, um. You know, 343 00:17:43,840 --> 00:17:46,080 Speaker 1: let's not be cavalier about this. And too many people 344 00:17:46,080 --> 00:17:49,359 Speaker 1: in the industry have been cavalier about the government's ability to, 345 00:17:49,760 --> 00:17:52,080 Speaker 1: you know, stop these systems. And we can say, okay, 346 00:17:52,160 --> 00:17:56,159 Speaker 1: technically you can't ever stop bitcoin, right it's it's it 347 00:17:56,200 --> 00:17:58,280 Speaker 1: could be replicated by anyone with a computer, so you 348 00:17:58,320 --> 00:18:00,960 Speaker 1: can't technically stop it. But they can make our lives 349 00:18:01,000 --> 00:18:03,520 Speaker 1: hell and destroy a lot of lives, So we shouldn't 350 00:18:03,520 --> 00:18:05,760 Speaker 1: be cavalier, um, you know, and I really hope that 351 00:18:05,840 --> 00:18:08,600 Speaker 1: never comes down to that. Now, we are an international 352 00:18:08,680 --> 00:18:11,640 Speaker 1: organization and we are decentralizing, say our treasury, we want 353 00:18:11,640 --> 00:18:15,159 Speaker 1: to decentralized decision making with the voting system, right, decentralize 354 00:18:15,160 --> 00:18:17,560 Speaker 1: our note network from the tracking to the payments of it. 355 00:18:17,720 --> 00:18:20,800 Speaker 1: We want to just decentralize everything so we don't have 356 00:18:20,840 --> 00:18:23,240 Speaker 1: those constail here. And you know, I would love to 357 00:18:23,280 --> 00:18:25,760 Speaker 1: be able to just be one of many participants in 358 00:18:25,800 --> 00:18:29,040 Speaker 1: this UM ecosystem. We see the we can see the 359 00:18:29,480 --> 00:18:33,320 Speaker 1: contrast today now because of Facebook, right, Uh, they're being 360 00:18:33,440 --> 00:18:36,359 Speaker 1: brought before the US government to testify, but there's no 361 00:18:36,400 --> 00:18:40,320 Speaker 1: one from Bitcoin going to testify exactly. There's a glaring 362 00:18:40,440 --> 00:18:44,400 Speaker 1: difference that, uh that has become very obvious you know. So, um, 363 00:18:44,480 --> 00:18:47,040 Speaker 1: is that something that's in the roadmap for Horizon Labs 364 00:18:47,119 --> 00:18:50,199 Speaker 1: or absolutely? Yeah. Yeah, So with the whole side chain thing, 365 00:18:50,280 --> 00:18:53,320 Speaker 1: so we're going live within alpha in the end of 366 00:18:53,440 --> 00:18:57,080 Speaker 1: Q three slash early key four. We'll see how that goes, uh, 367 00:18:57,080 --> 00:18:59,000 Speaker 1: And the whole point of where one of the big 368 00:18:59,040 --> 00:19:01,359 Speaker 1: things that that allows us to do is we're building 369 00:19:01,400 --> 00:19:04,159 Speaker 1: a voting system on a side chain, so basically where 370 00:19:04,160 --> 00:19:08,040 Speaker 1: our treasury pool, we're democratizing and we'll have a way 371 00:19:08,040 --> 00:19:10,240 Speaker 1: for people to vote on how the resources are used 372 00:19:10,440 --> 00:19:12,800 Speaker 1: and how this what kinds of decisions are made as 373 00:19:12,800 --> 00:19:15,360 Speaker 1: an organization. And then we're also gonna have another side 374 00:19:15,400 --> 00:19:18,320 Speaker 1: chain that does our our no tracking payments and automating 375 00:19:18,320 --> 00:19:20,520 Speaker 1: all that. That's just the start. So we have to 376 00:19:20,560 --> 00:19:23,520 Speaker 1: decentralize fast because we know that you know, whether it's 377 00:19:23,760 --> 00:19:25,040 Speaker 1: in the US, and I don't think it will be 378 00:19:25,080 --> 00:19:26,600 Speaker 1: in the US, but the leg parts of the world 379 00:19:26,600 --> 00:19:31,000 Speaker 1: where what we're doing will be considered illegal, which is insane, right. 380 00:19:31,000 --> 00:19:33,720 Speaker 1: I mean, we're we're building technology, we're united people around 381 00:19:33,720 --> 00:19:37,160 Speaker 1: the world, We're giving people opportunity, and we're basically innovating, 382 00:19:37,320 --> 00:19:41,160 Speaker 1: you know, economically, technologically, socially, and I can see some 383 00:19:41,280 --> 00:19:44,480 Speaker 1: systems that are more repressive trying to stop that. And 384 00:19:44,680 --> 00:19:46,239 Speaker 1: you know, I don't want us to have points of 385 00:19:46,280 --> 00:19:50,440 Speaker 1: failure where they can go after this points of failure. Yeah, yeah, 386 00:19:50,520 --> 00:19:53,160 Speaker 1: I agree. I mean that's the problem with the financial 387 00:19:53,200 --> 00:19:55,840 Speaker 1: system as we know today is that it's permissioned. So 388 00:19:55,880 --> 00:19:58,000 Speaker 1: you have to have permission to join at and a 389 00:19:58,080 --> 00:20:00,639 Speaker 1: lot of people aren't aren't able to receive permission and 390 00:20:00,760 --> 00:20:03,240 Speaker 1: two billion adults on banked and so there's this this 391 00:20:03,600 --> 00:20:06,840 Speaker 1: exclusion and then of course there's a gap of equality 392 00:20:06,880 --> 00:20:10,680 Speaker 1: because people can't even get into the system and uh 393 00:20:10,840 --> 00:20:13,560 Speaker 1: through cryptocurrencies, whether that be stable coins or bitcoin or 394 00:20:13,600 --> 00:20:17,640 Speaker 1: whatever method they choose. Um, it's permission lists, but um, 395 00:20:17,720 --> 00:20:21,080 Speaker 1: definitely they don't want that and exactly, yeah, it's shocking. 396 00:20:21,119 --> 00:20:23,119 Speaker 1: But you know what I do think that what I 397 00:20:23,160 --> 00:20:25,520 Speaker 1: love about this technology and other things that that I 398 00:20:25,880 --> 00:20:28,679 Speaker 1: participate in, like C setting, is we have to make 399 00:20:28,720 --> 00:20:31,320 Speaker 1: governments compete with each other and view us as as 400 00:20:31,440 --> 00:20:34,439 Speaker 1: customers instead of subjects. And then as soon as they 401 00:20:34,440 --> 00:20:37,919 Speaker 1: start viewing their role as providing useful services, uh, and 402 00:20:37,920 --> 00:20:40,399 Speaker 1: that we have many options, then I think that you know, 403 00:20:40,480 --> 00:20:42,480 Speaker 1: they'll start competing with each other to do better a 404 00:20:42,520 --> 00:20:46,440 Speaker 1: better job. And you see this in a way like jurisdictions. Think, 405 00:20:46,600 --> 00:20:48,960 Speaker 1: think about that that that you just said, because I 406 00:20:49,000 --> 00:20:52,080 Speaker 1: know you're I know you're deep into the libertarian philosophy, 407 00:20:52,160 --> 00:20:53,680 Speaker 1: so you can get this. But think about what you 408 00:20:53,760 --> 00:20:56,800 Speaker 1: just said where they should look at us as customers 409 00:20:56,840 --> 00:21:01,680 Speaker 1: instead of subjects. Yeah, yeah, there's deep it but but 410 00:21:01,680 --> 00:21:05,760 Speaker 1: but but the government is servants of the people. It 411 00:21:05,840 --> 00:21:08,800 Speaker 1: was supposed to be. But feel that way, right, right, 412 00:21:08,800 --> 00:21:12,080 Speaker 1: But so we're going from wishing that their subjects or servants, 413 00:21:12,080 --> 00:21:14,240 Speaker 1: but to now at least just at least treat us 414 00:21:14,280 --> 00:21:17,040 Speaker 1: as customers. Yeah. No, that's that's just lip service. I mean, 415 00:21:17,040 --> 00:21:19,680 Speaker 1: go into a government agency and try to get something done, 416 00:21:19,720 --> 00:21:23,040 Speaker 1: and then are you really their boss? Of course not No, no, 417 00:21:23,080 --> 00:21:25,479 Speaker 1: I don't it's not yeah exactly, but no. But this 418 00:21:25,520 --> 00:21:28,520 Speaker 1: is the line that's used, which is very misleading, is 419 00:21:28,560 --> 00:21:31,520 Speaker 1: we don't control government. There is a very small subset 420 00:21:31,600 --> 00:21:33,600 Speaker 1: of people, say a few hundred, you know, at the 421 00:21:33,600 --> 00:21:35,960 Speaker 1: first level of control, and then you have thousands at 422 00:21:35,960 --> 00:21:39,560 Speaker 1: the next level of control, and there are our bosses. Right, 423 00:21:39,600 --> 00:21:41,840 Speaker 1: So it's not the other way around. No matter what 424 00:21:41,880 --> 00:21:44,200 Speaker 1: can of rhetoric there is. I think it should flip 425 00:21:44,200 --> 00:21:49,879 Speaker 1: back around, right, Yeah, exactly. I was. I was in 426 00:21:50,200 --> 00:21:52,639 Speaker 1: l A with Max Kaiser and he was he was 427 00:21:52,720 --> 00:21:55,439 Speaker 1: he was talking to a small group and they were 428 00:21:55,440 --> 00:21:58,400 Speaker 1: talking about these increasing regulations and whatnot, and he just 429 00:21:59,000 --> 00:22:01,160 Speaker 1: basically the same converse station and he just said, look, 430 00:22:01,240 --> 00:22:04,280 Speaker 1: the Second Amendment was put into place to protect against 431 00:22:04,280 --> 00:22:07,520 Speaker 1: tyranny and if you don't think your government is representing 432 00:22:07,520 --> 00:22:09,879 Speaker 1: you is a tyrannical and then maybe you should think 433 00:22:09,880 --> 00:22:11,360 Speaker 1: about that. And he just kind of left it like that, 434 00:22:11,440 --> 00:22:14,840 Speaker 1: you know, not advocating for anything obviously, but just something 435 00:22:14,880 --> 00:22:16,800 Speaker 1: to think about, you know. But we should have the 436 00:22:16,920 --> 00:22:18,840 Speaker 1: right to change the government. But now we'd like it 437 00:22:18,880 --> 00:22:21,840 Speaker 1: if they could just look at as customers. UM. But 438 00:22:21,960 --> 00:22:24,040 Speaker 1: I think that actually goes into something that we talked 439 00:22:24,040 --> 00:22:26,560 Speaker 1: about before we started recording, where you would you would 440 00:22:26,680 --> 00:22:28,280 Speaker 1: you had said you had gone from New York to 441 00:22:28,320 --> 00:22:31,879 Speaker 1: California to Texas, and I'm in California and and those 442 00:22:31,920 --> 00:22:35,600 Speaker 1: two states are the highest tax states in in the nation. 443 00:22:36,400 --> 00:22:39,040 Speaker 1: I'm stuck in one of them. But you left to 444 00:22:39,080 --> 00:22:40,720 Speaker 1: go to a lower tech state. We were talking about 445 00:22:40,760 --> 00:22:43,040 Speaker 1: going to Puerto Rico, which is a behaven because it 446 00:22:43,119 --> 00:22:46,320 Speaker 1: can bring taxes down very, very low. And just the 447 00:22:46,320 --> 00:22:49,200 Speaker 1: fact that UM, as a customer, we would go where 448 00:22:49,240 --> 00:22:52,400 Speaker 1: we're treated best, exactly. Yeah, And there's a reason why 449 00:22:52,520 --> 00:22:55,359 Speaker 1: so with Horizon Labs. In January, we lost Horizon Labs. 450 00:22:55,800 --> 00:22:58,640 Speaker 1: And there's a reason why we chose Austin, Texas as 451 00:22:58,680 --> 00:23:03,399 Speaker 1: our headquarters because they don't have repressive taxation. You know, 452 00:23:03,480 --> 00:23:05,960 Speaker 1: it's it's a botching hub. It's emerging as a blotching hub. 453 00:23:06,359 --> 00:23:08,760 Speaker 1: You have key talent there, but people are moving there 454 00:23:08,800 --> 00:23:12,159 Speaker 1: and relocating from you know, Silicon Valley traditional areas to 455 00:23:12,400 --> 00:23:15,159 Speaker 1: Austin and to other parts of Texas and in states 456 00:23:15,200 --> 00:23:18,040 Speaker 1: like that that are actually trying to attract people instead 457 00:23:18,080 --> 00:23:21,280 Speaker 1: of you know, repel them. So it's it's that concept, 458 00:23:21,320 --> 00:23:23,399 Speaker 1: like do we see it within the United States? You 459 00:23:23,400 --> 00:23:25,600 Speaker 1: have states competing with each other. You see it with 460 00:23:25,800 --> 00:23:29,400 Speaker 1: you know, internationally, countries start competing with each other, right, Um, 461 00:23:29,440 --> 00:23:30,680 Speaker 1: so I want to see more of that. I just 462 00:23:30,720 --> 00:23:33,000 Speaker 1: want to see competition. You know. I'm not a fan 463 00:23:33,080 --> 00:23:37,119 Speaker 1: of you know, uh, you know, replacing governments or rebellions 464 00:23:37,119 --> 00:23:39,080 Speaker 1: and stuff like that, because you know, the reality is 465 00:23:39,200 --> 00:23:43,080 Speaker 1: you and I may disagree with a government, and you know, 466 00:23:43,800 --> 00:23:45,800 Speaker 1: the rest of the population doesn't disagree with them. They 467 00:23:45,800 --> 00:23:48,240 Speaker 1: actually like that government, and then what what percentage you 468 00:23:48,240 --> 00:23:50,600 Speaker 1: gets to impose its will on the other percentage? Right? 469 00:23:50,960 --> 00:23:52,919 Speaker 1: I just don't like scenarios like that. They seem to 470 00:23:52,920 --> 00:23:56,240 Speaker 1: be like win lose, which is why, which is why 471 00:23:56,240 --> 00:24:00,080 Speaker 1: the answer is less government, right, yeah, exactly, and everment Ever, 472 00:24:00,119 --> 00:24:03,720 Speaker 1: men should be out of everyday decision. So, um, then 473 00:24:03,840 --> 00:24:06,879 Speaker 1: instead of fifty fifty split, it should be like the 474 00:24:06,920 --> 00:24:08,640 Speaker 1: majority of people don't have a problem with government because 475 00:24:08,640 --> 00:24:11,080 Speaker 1: they're not really affecting my life that much, right Exactly. 476 00:24:11,240 --> 00:24:13,199 Speaker 1: I'm a big believer in, you know, the set of 477 00:24:13,200 --> 00:24:15,760 Speaker 1: things the government does being as small as possible, because 478 00:24:15,880 --> 00:24:18,800 Speaker 1: then you have the least ability for to violate people's 479 00:24:18,880 --> 00:24:23,560 Speaker 1: rights and then to basically cause such discontent. So it's 480 00:24:23,600 --> 00:24:26,280 Speaker 1: it's a different scenario because people that have discontent with 481 00:24:26,280 --> 00:24:28,840 Speaker 1: the small government just wants to get something from government, 482 00:24:29,080 --> 00:24:31,680 Speaker 1: you know, whether it's for themselves or for others. Maybe 483 00:24:31,680 --> 00:24:34,840 Speaker 1: they feel like they're being philanthropic by taking your money 484 00:24:34,840 --> 00:24:37,280 Speaker 1: and giving it to someone else, but that's not real, 485 00:24:37,960 --> 00:24:43,360 Speaker 1: you know, philanthropy. So I can't said the word. Yeah, 486 00:24:43,400 --> 00:24:46,640 Speaker 1: I'm curious how you came to have that viewpoint being 487 00:24:46,680 --> 00:24:51,040 Speaker 1: a PhD in economics financial economics, because it seems like, 488 00:24:51,160 --> 00:24:53,159 Speaker 1: and I'm not I'm not a PhD in economics, so 489 00:24:53,200 --> 00:24:55,040 Speaker 1: you can correct me if I'm wrong, But it seems 490 00:24:55,080 --> 00:24:57,360 Speaker 1: like from all the people that I know that are 491 00:24:57,440 --> 00:25:01,439 Speaker 1: masters or whatnot in economics, Um, really teach in the 492 00:25:01,680 --> 00:25:05,000 Speaker 1: school system is kind of exact opposite of what we're 493 00:25:05,000 --> 00:25:07,720 Speaker 1: talking here, right, So they teach that, um, we should 494 00:25:07,760 --> 00:25:10,240 Speaker 1: be able to control the market, and we should have 495 00:25:10,359 --> 00:25:15,840 Speaker 1: centrally planned uh policies to control the market versus personal um, 496 00:25:15,880 --> 00:25:19,879 Speaker 1: you know, responsibility. So yeah, I think there's there's a 497 00:25:19,920 --> 00:25:23,480 Speaker 1: couple of biases or behavioral biases that that play themselves 498 00:25:23,480 --> 00:25:27,240 Speaker 1: out in academia. One is, uh, academics really like to 499 00:25:27,280 --> 00:25:30,160 Speaker 1: feel smart, right, you know, like basically we go through 500 00:25:30,160 --> 00:25:32,360 Speaker 1: out our lives is like the top of our classes 501 00:25:32,440 --> 00:25:34,919 Speaker 1: that are high school and college and all that, and 502 00:25:34,920 --> 00:25:36,960 Speaker 1: we go into academia because we're good at it and 503 00:25:37,000 --> 00:25:39,200 Speaker 1: we're always we've always been told our whole lives, you're 504 00:25:39,240 --> 00:25:41,800 Speaker 1: so smart, right, And they kind of get off on that, 505 00:25:42,240 --> 00:25:46,520 Speaker 1: and then it manifests such that we tend to gravitate 506 00:25:46,520 --> 00:25:51,440 Speaker 1: towards theories that have tractable solutions, like tractable but also complex, 507 00:25:51,480 --> 00:25:53,919 Speaker 1: because it's it's a nice feeling to be able to 508 00:25:53,960 --> 00:25:57,640 Speaker 1: solve like a second order differential equation and have attractable results. 509 00:25:57,720 --> 00:25:59,600 Speaker 1: And not everyone in the world can do this kind 510 00:25:59,600 --> 00:26:02,600 Speaker 1: of stuff, but you can and you have attractable result there. 511 00:26:02,640 --> 00:26:04,400 Speaker 1: So it's a nice thing because then then the next 512 00:26:04,440 --> 00:26:07,919 Speaker 1: thing is the biases they like to everyone likes to 513 00:26:07,920 --> 00:26:11,760 Speaker 1: feel important, right, and it basically lass hundred years, probably 514 00:26:11,800 --> 00:26:14,600 Speaker 1: since Kan's and maybe a little bit before that, UM 515 00:26:14,720 --> 00:26:20,159 Speaker 1: economists and academics started getting more influencing government because the 516 00:26:20,240 --> 00:26:23,000 Speaker 1: things that they were telling government, we can control this, 517 00:26:23,160 --> 00:26:25,959 Speaker 1: we can you know, overcome these problems that they kind 518 00:26:25,960 --> 00:26:29,199 Speaker 1: of self identify in the market, UM by giving you 519 00:26:29,240 --> 00:26:31,760 Speaker 1: more power. Of course, politicians are gonna love that. Yeah, 520 00:26:32,000 --> 00:26:34,560 Speaker 1: give me the theory that justifies that I have more power, 521 00:26:34,920 --> 00:26:39,400 Speaker 1: of course. But true science though, and you know, so 522 00:26:39,800 --> 00:26:42,520 Speaker 1: I know in the libertarian world and anarcho capitalists where 523 00:26:42,520 --> 00:26:44,000 Speaker 1: all that that kind of you know I live in 524 00:26:44,040 --> 00:26:47,240 Speaker 1: you probably live in is um. There's this big academic 525 00:26:47,320 --> 00:26:49,440 Speaker 1: dashing that goes on, and I think it's gone too far, 526 00:26:49,800 --> 00:26:52,200 Speaker 1: like very very much too far by people that don't 527 00:26:52,200 --> 00:26:56,120 Speaker 1: really understand what goes on in academia and true academics 528 00:26:56,280 --> 00:26:59,119 Speaker 1: is true science where we do have a scientific method 529 00:26:59,200 --> 00:27:01,439 Speaker 1: and we have Dad and his processes and techniques to 530 00:27:01,680 --> 00:27:05,600 Speaker 1: evaluate hypotheses. Now, there's too many, too many academics that 531 00:27:05,760 --> 00:27:09,680 Speaker 1: violate these fundamental premises and they impose their opinions under 532 00:27:09,720 --> 00:27:13,680 Speaker 1: the guys of academic credibility, like Paul Krug for instance, 533 00:27:13,880 --> 00:27:16,760 Speaker 1: he's not an economist anymore. He was an economist and 534 00:27:16,800 --> 00:27:20,000 Speaker 1: now he's just basically a social commentator on the left. 535 00:27:20,359 --> 00:27:25,000 Speaker 1: But he's using his creditis that's when you reach the top, right, yeah, right, so, 536 00:27:25,400 --> 00:27:27,080 Speaker 1: and that's a shame, and I think that that does 537 00:27:27,119 --> 00:27:30,680 Speaker 1: a big disservice to the world of science. Right but true, 538 00:27:30,720 --> 00:27:33,960 Speaker 1: like true, academia should be just based science. Uh. And 539 00:27:34,040 --> 00:27:37,639 Speaker 1: it's just really unfortunate. But there are amazing guys that 540 00:27:38,119 --> 00:27:41,080 Speaker 1: you know, like John Cochrane for instance, my my favorite economist, 541 00:27:41,600 --> 00:27:44,000 Speaker 1: finance professor out of University of Chicago. Now I think 542 00:27:44,000 --> 00:27:47,680 Speaker 1: he's at the Hoover Institute. But the guy, the guy's brilliant. 543 00:27:47,720 --> 00:27:50,119 Speaker 1: He wrote all the you know, or some phenomenal books 544 00:27:50,119 --> 00:27:52,960 Speaker 1: and that surpricing. But he's a real scientist and he's 545 00:27:53,080 --> 00:27:55,119 Speaker 1: the kind of example that I look up to. But 546 00:27:55,160 --> 00:27:58,919 Speaker 1: it isn't science is a science is not like fact. 547 00:27:59,040 --> 00:28:02,440 Speaker 1: Science is some thing that's an evolving learning stage. Right. 548 00:28:02,440 --> 00:28:06,240 Speaker 1: We're constantly testing and learning exactly. It's a process. And 549 00:28:06,280 --> 00:28:08,680 Speaker 1: so you want to talk about economics as a science, 550 00:28:08,720 --> 00:28:12,040 Speaker 1: but we don't have controlled studies, no, no, no, Yeah, 551 00:28:12,040 --> 00:28:16,960 Speaker 1: the studies are are very very very much uncontrolled. I 552 00:28:16,960 --> 00:28:18,760 Speaker 1: think there are some control studies or not, but they're 553 00:28:18,840 --> 00:28:21,960 Speaker 1: very limited because the range of what you you should 554 00:28:21,960 --> 00:28:25,680 Speaker 1: extrapolate the results to be is very narrow. Um. But yeah, 555 00:28:25,760 --> 00:28:28,480 Speaker 1: I agree, especially in social systems, their complex systems, So 556 00:28:28,480 --> 00:28:30,200 Speaker 1: we shouldn't be so arrogant. I think that we really 557 00:28:30,280 --> 00:28:33,800 Speaker 1: understand human behavior so thoroughly that we can predict everything. 558 00:28:34,240 --> 00:28:36,480 Speaker 1: Uh and then and have you have you dived into 559 00:28:36,480 --> 00:28:39,320 Speaker 1: the Austrian economics, then you've I'm a huge fan. That's 560 00:28:39,320 --> 00:28:41,680 Speaker 1: where I came from. Actually, so that was you know that, 561 00:28:41,800 --> 00:28:43,920 Speaker 1: that was where I came from before I went into academia. 562 00:28:44,000 --> 00:28:47,240 Speaker 1: And I still very much love love and you know 563 00:28:47,360 --> 00:28:50,040 Speaker 1: the premises. I think Austrian economics to me is more 564 00:28:50,040 --> 00:28:53,320 Speaker 1: of a philosophy than it is necessarily economic science. It 565 00:28:53,400 --> 00:28:56,120 Speaker 1: provides a great um framework, but it is like a 566 00:28:56,160 --> 00:28:59,840 Speaker 1: hundred year old you know, economic tool tool set, and 567 00:29:00,080 --> 00:29:02,480 Speaker 1: there are there are more modern tools as well. Would 568 00:29:02,520 --> 00:29:06,120 Speaker 1: you say though? The big difference is that with Austrian 569 00:29:06,160 --> 00:29:10,320 Speaker 1: it's more about human incentives, like personal incentives versus um 570 00:29:10,800 --> 00:29:14,959 Speaker 1: traditional economics or kinsing economics being more like master planned 571 00:29:14,960 --> 00:29:19,040 Speaker 1: and controlled totally totally. Yeah, So Austrians probably more micro 572 00:29:19,240 --> 00:29:21,920 Speaker 1: and Kaanging is more macro, and I definitely think macro 573 00:29:22,000 --> 00:29:24,920 Speaker 1: is more voodoo science because it treats it treats economics 574 00:29:24,960 --> 00:29:27,760 Speaker 1: like physics and it's not. Uh, you know, so I'm 575 00:29:27,880 --> 00:29:30,480 Speaker 1: much more of a believer in at the human level. Now. 576 00:29:30,520 --> 00:29:33,280 Speaker 1: One thing that Austrian economics doesn't have, although maybe there's 577 00:29:33,280 --> 00:29:37,320 Speaker 1: a huge overlap, is the behavioral economics stuff that came 578 00:29:37,360 --> 00:29:40,800 Speaker 1: about basically from uh, you know, from the economen in 579 00:29:40,840 --> 00:29:44,360 Speaker 1: diversity experiments that they started doing the sixties and seventies. Uh, 580 00:29:44,400 --> 00:29:47,160 Speaker 1: and then some of those papers really blew open this 581 00:29:47,200 --> 00:29:49,880 Speaker 1: whole you know, sub field of economics that I think 582 00:29:50,160 --> 00:29:53,320 Speaker 1: maps in a way back to Austrian school of thought 583 00:29:53,320 --> 00:29:57,120 Speaker 1: where we're actually looking at human humans as non standard 584 00:29:57,120 --> 00:30:00,120 Speaker 1: economic agents, you know, because you know, if you want 585 00:30:00,160 --> 00:30:04,040 Speaker 1: tractable you know, second order differential equation solutions, you need 586 00:30:04,480 --> 00:30:08,000 Speaker 1: uniform economic agents, and we're not all uniform. We don't 587 00:30:08,040 --> 00:30:10,960 Speaker 1: have all the same utility functions that are easily mappable 588 00:30:11,000 --> 00:30:13,320 Speaker 1: and tractable. Right. So I'm a big fan of where 589 00:30:13,360 --> 00:30:16,720 Speaker 1: economics is going. Although the problem, there's a downside to 590 00:30:16,800 --> 00:30:20,239 Speaker 1: that is you have some some academics that use this 591 00:30:20,320 --> 00:30:24,520 Speaker 1: as like a toolkit to advocate for more control from government, 592 00:30:24,640 --> 00:30:27,000 Speaker 1: which I think is the exact wrong outcome from it. 593 00:30:27,080 --> 00:30:29,479 Speaker 1: They basically say it's like a market for lemons. As 594 00:30:29,520 --> 00:30:32,440 Speaker 1: as an example, you see this, you know, okay, nice 595 00:30:32,480 --> 00:30:35,760 Speaker 1: theory that says that you should never have a secondary 596 00:30:35,800 --> 00:30:38,680 Speaker 1: marketplace basically for used cars. No one should ever buy 597 00:30:38,680 --> 00:30:41,520 Speaker 1: a used car because the previous owner or the current 598 00:30:41,520 --> 00:30:44,240 Speaker 1: owner knows more about the car's condition than you. There's 599 00:30:44,240 --> 00:30:47,640 Speaker 1: an information asymmetry, and therefore you guys can't agree on 600 00:30:47,680 --> 00:30:50,520 Speaker 1: a price. This is the academic arguments, a famous art 601 00:30:50,680 --> 00:30:54,720 Speaker 1: you know, a journal article. Obviously false. We have secondary 602 00:30:54,720 --> 00:30:58,120 Speaker 1: markets for everything, right, so obviously false. But if you 603 00:30:58,160 --> 00:31:00,640 Speaker 1: were to just take this theory in blind apply it 604 00:31:00,960 --> 00:31:03,040 Speaker 1: without context, I think you'd be completely wrong. And I 605 00:31:03,080 --> 00:31:06,200 Speaker 1: think this is where unfortunately, a lot of policy guidance 606 00:31:06,200 --> 00:31:08,800 Speaker 1: has gone well. It seems like in that analogy, but 607 00:31:08,840 --> 00:31:11,760 Speaker 1: also the other policies that I hear, it always leaves 608 00:31:11,800 --> 00:31:14,720 Speaker 1: out the human incentive part. And I think humans have 609 00:31:14,800 --> 00:31:17,240 Speaker 1: this innate ability. I have little kids and I see 610 00:31:17,240 --> 00:31:19,960 Speaker 1: them on the playground and they're already change trading their 611 00:31:19,960 --> 00:31:22,680 Speaker 1: bologna sandwich for the chips, like we have this, we 612 00:31:22,760 --> 00:31:26,480 Speaker 1: have this like innate ability or desire to trade and 613 00:31:26,520 --> 00:31:29,840 Speaker 1: to uh and do property and and uh. You know, 614 00:31:29,880 --> 00:31:32,320 Speaker 1: everybody wants to preach equality, but at the end of 615 00:31:32,320 --> 00:31:34,640 Speaker 1: the day, some people just are more motivated than other. 616 00:31:34,640 --> 00:31:36,920 Speaker 1: Some people want to work harder than other something and 617 00:31:36,920 --> 00:31:39,920 Speaker 1: and uh and there's incentive there and so um when 618 00:31:40,000 --> 00:31:43,480 Speaker 1: these these macroeconomic policies don't take that into consideration, and 619 00:31:43,560 --> 00:31:46,320 Speaker 1: they they almost work against a lot of that incentives 620 00:31:46,320 --> 00:31:49,360 Speaker 1: from from my from my standpoint. And even that car example, 621 00:31:49,440 --> 00:31:51,880 Speaker 1: as you say, um, I may have an incentive to 622 00:31:51,920 --> 00:31:54,440 Speaker 1: save money, and I may have an incentive to save 623 00:31:54,480 --> 00:31:56,360 Speaker 1: money because I know more about cars than you do 624 00:31:56,440 --> 00:31:58,440 Speaker 1: and I have an edge, right, and so you just 625 00:31:58,600 --> 00:32:03,760 Speaker 1: you just you can't that away from people. Yeah, and 626 00:32:03,840 --> 00:32:05,520 Speaker 1: you know one other things that they're out there is 627 00:32:05,720 --> 00:32:09,520 Speaker 1: there's uh utility to freedom, all right. I value freedom. 628 00:32:09,680 --> 00:32:12,360 Speaker 1: So even if you were to just mathematically proved to 629 00:32:12,400 --> 00:32:15,080 Speaker 1: me that you know, eating sugars that actually don't eat 630 00:32:15,080 --> 00:32:17,480 Speaker 1: a lot of sugar, but say like eating eating fat 631 00:32:17,600 --> 00:32:19,640 Speaker 1: is bad, you you go and prove it. You have 632 00:32:19,640 --> 00:32:23,520 Speaker 1: some theory us evidence. If you take away my right 633 00:32:23,680 --> 00:32:26,920 Speaker 1: to eat a cheeseburger, I'll be pissed even if I 634 00:32:26,960 --> 00:32:30,520 Speaker 1: know that it's not necessarily bad, but it's completely disproproportionate 635 00:32:30,560 --> 00:32:32,800 Speaker 1: because maybe it gives me some value right now. And 636 00:32:32,920 --> 00:32:34,680 Speaker 1: I know I'm not gonna eat a hamburger every meal 637 00:32:34,720 --> 00:32:36,040 Speaker 1: for the rest of my life, which would be a 638 00:32:36,080 --> 00:32:39,280 Speaker 1: short life, right, But freedom has value, and to just 639 00:32:39,360 --> 00:32:42,440 Speaker 1: impose people on people, you know, the will of the 640 00:32:43,560 --> 00:32:46,160 Speaker 1: I don't know. The Ivory Tower is a terrible idea. 641 00:32:46,480 --> 00:32:48,560 Speaker 1: Even if they're right, which I don't think they are, 642 00:32:49,160 --> 00:32:51,080 Speaker 1: so well, they can't. They can't be They can't be 643 00:32:51,160 --> 00:32:53,440 Speaker 1: right for everybody. I might be okay dying at forty 644 00:32:53,520 --> 00:32:55,240 Speaker 1: years old if I can eat a cheeseburger every day, 645 00:32:55,360 --> 00:32:58,320 Speaker 1: and that's my right exactly. I love cheeseburgers that much, 646 00:32:58,360 --> 00:32:59,600 Speaker 1: and I don't need to live to eighties, So I'm 647 00:32:59,600 --> 00:33:01,160 Speaker 1: gonna eat an every day and and to forty, And 648 00:33:01,240 --> 00:33:03,400 Speaker 1: who are you to tell me that I can't. I 649 00:33:03,440 --> 00:33:06,440 Speaker 1: think I think it's a philosophical argument that, um, you 650 00:33:06,520 --> 00:33:10,560 Speaker 1: can't make somebody's life better by taking away their choices 651 00:33:10,920 --> 00:33:13,360 Speaker 1: or forcing them to do things they don't want to do, right, right, 652 00:33:13,560 --> 00:33:16,000 Speaker 1: I'm very much opposed to that absolutely. I would love 653 00:33:16,040 --> 00:33:18,520 Speaker 1: for them to say, hey, we can help you. Here, 654 00:33:18,640 --> 00:33:20,480 Speaker 1: here's the plan, here's why it's bad, and try to 655 00:33:20,480 --> 00:33:24,840 Speaker 1: reason with me education exactly. But you know, I think 656 00:33:24,880 --> 00:33:26,520 Speaker 1: it goes. I think it just goes from a win 657 00:33:26,600 --> 00:33:30,200 Speaker 1: win into a win lose deal. But I think there's 658 00:33:30,240 --> 00:33:33,160 Speaker 1: also a stark difference in you know, Austrians believe in 659 00:33:33,320 --> 00:33:38,280 Speaker 1: saving and deploying that capital versus Austin traditional economics believes 660 00:33:38,280 --> 00:33:40,760 Speaker 1: and spending for capital. Right, and so that's a big 661 00:33:40,800 --> 00:33:44,280 Speaker 1: difference totally. And I think the reason why that's important 662 00:33:44,320 --> 00:33:46,920 Speaker 1: to understand right now is I believe what bitcoin is 663 00:33:46,960 --> 00:33:50,360 Speaker 1: doing is it's changing that narrative because we've never really 664 00:33:50,360 --> 00:33:54,040 Speaker 1: had a deflationary currency before. And I know this personally 665 00:33:54,080 --> 00:33:56,480 Speaker 1: because I own bitcoin, and I know because I talked 666 00:33:56,480 --> 00:33:58,720 Speaker 1: to other people a bitcoin. But it changes the way 667 00:33:58,720 --> 00:34:00,680 Speaker 1: I think about spending. So might dollars. I have no 668 00:34:00,720 --> 00:34:03,920 Speaker 1: problem spending my dollars yep, Oh, two thousand bucks last 669 00:34:03,920 --> 00:34:05,640 Speaker 1: week and went to Texas with my daughter. Sure dropped 670 00:34:05,680 --> 00:34:07,160 Speaker 1: too grand we on a trip together. No big deal. 671 00:34:07,240 --> 00:34:09,200 Speaker 1: Those are my dollars. They're worth less next month. Anyway. 672 00:34:09,480 --> 00:34:14,200 Speaker 1: My bitcoin, I'm not selling that for anything, right, and so, um, 673 00:34:14,239 --> 00:34:16,040 Speaker 1: and that's where we should be, right, we should be 674 00:34:16,040 --> 00:34:18,759 Speaker 1: in that saving mindset deploying capital. And so that's a 675 00:34:18,760 --> 00:34:21,080 Speaker 1: big difference, right, I completely agree with you on that. 676 00:34:21,120 --> 00:34:23,359 Speaker 1: I really don't know where the nonsense of you know, 677 00:34:23,520 --> 00:34:26,600 Speaker 1: perpetual deficits and perpetual inflation came from. I think it's 678 00:34:26,600 --> 00:34:30,120 Speaker 1: just insanity. Um. Now you can see why it's supplied 679 00:34:30,200 --> 00:34:32,839 Speaker 1: because it's really useful for politicians. Why would they ever 680 00:34:32,840 --> 00:34:35,440 Speaker 1: want to live within a budget? Politicians are too creative 681 00:34:35,480 --> 00:34:37,560 Speaker 1: to live within a budget. They want obviously they want 682 00:34:37,560 --> 00:34:39,399 Speaker 1: to spend more than they have right now because they're 683 00:34:39,440 --> 00:34:42,479 Speaker 1: not responsible for paying it. So of course they're gonna 684 00:34:42,520 --> 00:34:46,840 Speaker 1: gravitate to any theory that tries to pseudo justify that 685 00:34:46,840 --> 00:34:51,520 Speaker 1: that nonsense. But it's not sustainable. No, But it's human nature. Yeah, 686 00:34:51,680 --> 00:34:53,520 Speaker 1: human nature is always gonna want to push it as 687 00:34:53,520 --> 00:34:55,040 Speaker 1: long as you can push it until you can't push 688 00:34:55,040 --> 00:34:59,040 Speaker 1: it anymore. Exactly. So, Um, you're not an economist, but 689 00:34:59,080 --> 00:35:03,919 Speaker 1: you are a PhD in economics. Uh. But so, I mean, 690 00:35:04,040 --> 00:35:06,680 Speaker 1: right now, we have this system where we have uh, 691 00:35:06,960 --> 00:35:09,640 Speaker 1: we have this system that whatever you want to call 692 00:35:09,680 --> 00:35:12,919 Speaker 1: it kenzie in or modern whatever, where we're building debt. 693 00:35:13,000 --> 00:35:14,640 Speaker 1: We're spending money we don't have. In the next couple 694 00:35:14,680 --> 00:35:16,080 Speaker 1: of years, we wont be able to cover the debt 695 00:35:16,440 --> 00:35:19,640 Speaker 1: the interest on the debt um And now we have 696 00:35:19,680 --> 00:35:23,239 Speaker 1: this other system that's creating this deflationary currency. Uh, and 697 00:35:23,280 --> 00:35:25,440 Speaker 1: we're starting to see the this, you know, the stink 698 00:35:25,480 --> 00:35:28,440 Speaker 1: differences of that. All the developed world, not just the 699 00:35:28,480 --> 00:35:30,959 Speaker 1: United States but the whole West at least, but most 700 00:35:30,960 --> 00:35:34,520 Speaker 1: of the world is in the same economic situation where 701 00:35:34,520 --> 00:35:38,040 Speaker 1: we're spending spending spending. Is there a way out? I mean, 702 00:35:38,080 --> 00:35:41,120 Speaker 1: once they've gone down this path, there's really no way, 703 00:35:41,320 --> 00:35:44,479 Speaker 1: Like you have to continue down the path, right, there's 704 00:35:44,520 --> 00:35:46,160 Speaker 1: no way I mean there. I mean, I guess you 705 00:35:46,200 --> 00:35:47,880 Speaker 1: could wake up tomorrow and just change your mind, but 706 00:35:47,960 --> 00:35:50,239 Speaker 1: that's likely not going to happen. So the reason that 707 00:35:50,280 --> 00:35:53,720 Speaker 1: hasn't collapsed yet is because theoretically, they say, hey, growth 708 00:35:53,719 --> 00:35:56,480 Speaker 1: will catch up and we'll be able to grow ourselves 709 00:35:56,520 --> 00:35:58,759 Speaker 1: out of our problems, grow ourselves out of the debt. 710 00:35:58,920 --> 00:36:01,560 Speaker 1: Right so far hasn't happened. We've seen a lot of 711 00:36:01,600 --> 00:36:05,320 Speaker 1: growth around the world, but that actually incentivizes politicians to 712 00:36:05,360 --> 00:36:08,560 Speaker 1: spend even more. So you know, if they just spent 713 00:36:08,719 --> 00:36:11,360 Speaker 1: less than we're growing, you know, and we got into 714 00:36:11,480 --> 00:36:13,960 Speaker 1: less that per year, and then we were growing, would 715 00:36:14,000 --> 00:36:17,600 Speaker 1: eventually be able to theoretically work ourselves out of it. Um, 716 00:36:17,640 --> 00:36:20,880 Speaker 1: But I just don't see right now. The incentives are 717 00:36:20,920 --> 00:36:23,680 Speaker 1: not there for politicians, so I wouldn't expect at anytime soon. 718 00:36:23,920 --> 00:36:26,560 Speaker 1: I think we need more competitive governance, really, and this 719 00:36:26,600 --> 00:36:28,160 Speaker 1: is why I'm such a fan of things like c 720 00:36:28,320 --> 00:36:32,120 Speaker 1: setting and cryptocurrencies, because we can vote with our our 721 00:36:32,239 --> 00:36:34,879 Speaker 1: our money, now we can vote with our feet. These 722 00:36:34,880 --> 00:36:37,600 Speaker 1: are really empowering things. There's never been a better time 723 00:36:37,640 --> 00:36:40,440 Speaker 1: to be alive than today. Yeah, I believe we're in 724 00:36:40,440 --> 00:36:42,880 Speaker 1: a very transitional period that you know, maybe a hundred 725 00:36:42,960 --> 00:36:44,960 Speaker 1: years from now they will have this period written about 726 00:36:45,000 --> 00:36:49,600 Speaker 1: in history books, where, um, what the heck were they thinking? Like, no, 727 00:36:49,719 --> 00:36:52,600 Speaker 1: I totally agree it was a fifty year they did. 728 00:36:52,719 --> 00:36:55,520 Speaker 1: Like what the heck? Have you ever seen that video 729 00:36:55,600 --> 00:36:59,000 Speaker 1: of like an alien comes to Earth and uh, some 730 00:36:59,000 --> 00:37:02,640 Speaker 1: some encount terms his first human and the humans said, 731 00:37:02,920 --> 00:37:04,480 Speaker 1: do you want me to take you to our leader? 732 00:37:04,880 --> 00:37:07,680 Speaker 1: And the aliens like, what's a what's a leader? Like? 733 00:37:07,680 --> 00:37:09,880 Speaker 1: Where does they lead? Where do they lead you? You know? 734 00:37:10,120 --> 00:37:13,480 Speaker 1: And it's just really cool video it's like a cartoon. 735 00:37:13,520 --> 00:37:16,360 Speaker 1: I highly recommended because it's a huge parody of I 736 00:37:16,360 --> 00:37:18,919 Speaker 1: think a hundred years from now people will look back 737 00:37:19,040 --> 00:37:21,400 Speaker 1: on today. I think we're savages, Like, how can we 738 00:37:21,440 --> 00:37:23,399 Speaker 1: live this way? How could we let people exploit each 739 00:37:23,440 --> 00:37:26,400 Speaker 1: other this way? And by exploit, I mean really exploit, 740 00:37:26,480 --> 00:37:30,359 Speaker 1: not these like weird fantasy terms of unexploiting you because 741 00:37:30,400 --> 00:37:33,160 Speaker 1: I'm getting I'm making money. No, No, I'm talking about 742 00:37:33,440 --> 00:37:36,160 Speaker 1: people actually taking you know, taking us and putting us 743 00:37:36,160 --> 00:37:40,000 Speaker 1: in cages for smoking pot or you know, violating people's 744 00:37:40,080 --> 00:37:43,680 Speaker 1: human rights, are stealing from people, like systematically through through 745 00:37:43,960 --> 00:37:47,200 Speaker 1: unfair taxes and stuff like that. That that's real exploitation. 746 00:37:47,440 --> 00:37:49,120 Speaker 1: And I think this will be looking back on is 747 00:37:49,120 --> 00:37:53,400 Speaker 1: barbaric and completely unnecessary. I agree. And to think that 748 00:37:53,440 --> 00:37:58,040 Speaker 1: we have no um, no standard unit of account for 749 00:37:58,160 --> 00:38:00,640 Speaker 1: wealth or value or whatever you want to call that, 750 00:38:00,840 --> 00:38:03,920 Speaker 1: which really I think stems you know, at the at 751 00:38:03,920 --> 00:38:06,560 Speaker 1: the base of all these problems. But um, yeah, good 752 00:38:06,560 --> 00:38:09,160 Speaker 1: stuff and interesting. We could we could talk about that forever, 753 00:38:09,239 --> 00:38:12,120 Speaker 1: but kind of we're kind of running out of time. 754 00:38:12,560 --> 00:38:14,439 Speaker 1: But um, I love I love what you're doing, Rob, 755 00:38:14,480 --> 00:38:17,040 Speaker 1: I love I love the information that you're putting out, um, 756 00:38:17,120 --> 00:38:20,120 Speaker 1: and I love what Horizon Labs is doing to increase privacy, 757 00:38:20,160 --> 00:38:22,040 Speaker 1: which I think is uh is a big piece we 758 00:38:22,040 --> 00:38:24,879 Speaker 1: didn't really get into. But from from a philosophical level, 759 00:38:24,960 --> 00:38:28,880 Speaker 1: the privacy is such a big piece of an entire society. 760 00:38:29,440 --> 00:38:31,320 Speaker 1: You can't just maybe tell me in a couple of sentences, 761 00:38:31,320 --> 00:38:34,000 Speaker 1: why why you think privacy is so important to a society. 762 00:38:34,680 --> 00:38:36,600 Speaker 1: I mean, privacy is at the heart of everything. I mean, 763 00:38:37,120 --> 00:38:38,640 Speaker 1: it's almost so big of a question I don't know 764 00:38:38,640 --> 00:38:41,240 Speaker 1: how to answer. You know, how do you answer something 765 00:38:41,239 --> 00:38:45,040 Speaker 1: like that, because, uh, you know, if you don't have privacy, 766 00:38:45,160 --> 00:38:47,440 Speaker 1: you really don't have the ability to have any kind 767 00:38:47,440 --> 00:38:49,600 Speaker 1: of freedom. Right. Um. You know, we can say you 768 00:38:49,640 --> 00:38:52,719 Speaker 1: have freedom, but the second some authority doesn't like what 769 00:38:52,760 --> 00:38:55,280 Speaker 1: you're doing, it doesn't like what you're saying, uh, doesn't 770 00:38:55,280 --> 00:38:57,399 Speaker 1: like what you're doing with your money, right, then then 771 00:38:57,440 --> 00:38:59,560 Speaker 1: they could do whatever they want to you. So, you know, 772 00:38:59,800 --> 00:39:02,040 Speaker 1: it's starts if you believe in freedom and you believe 773 00:39:02,080 --> 00:39:04,000 Speaker 1: that human beings have a right to their own lives. 774 00:39:04,040 --> 00:39:06,880 Speaker 1: I think you have to believe in privacy. And it's 775 00:39:06,920 --> 00:39:09,520 Speaker 1: not about having something to hide, It's about having the 776 00:39:09,600 --> 00:39:13,200 Speaker 1: freedom to have your own thoughts and um to people 777 00:39:13,200 --> 00:39:15,400 Speaker 1: who think they have nothing to hide. The problem is 778 00:39:15,400 --> 00:39:17,759 Speaker 1: is that there's someone on both sides of the aisle. 779 00:39:17,760 --> 00:39:20,279 Speaker 1: So it doesn't matter what debate you're on, pro life, 780 00:39:20,280 --> 00:39:23,439 Speaker 1: for a choice, Democrat, Republican, whatever, there's gonna be somebody 781 00:39:23,440 --> 00:39:26,400 Speaker 1: on the opposite side. And uh, and really it comes 782 00:39:26,440 --> 00:39:28,719 Speaker 1: and it's more than just the decisions. It's uh, it's 783 00:39:28,760 --> 00:39:31,880 Speaker 1: the thought and then it's the creativity that comes from that. Ye. 784 00:39:32,360 --> 00:39:34,360 Speaker 1: So so anyway, I think it's a huge piece and 785 00:39:34,400 --> 00:39:36,200 Speaker 1: I love it and and and that's why I really 786 00:39:36,239 --> 00:39:39,040 Speaker 1: like the project and follow along? So where do people 787 00:39:39,040 --> 00:39:41,360 Speaker 1: follow along? To learn more about Horizon and Horizon Labs 788 00:39:41,360 --> 00:39:44,560 Speaker 1: and yourself. So our website, Horizon dot global is the 789 00:39:44,600 --> 00:39:47,080 Speaker 1: one stop shop for everything. But then please join our 790 00:39:47,239 --> 00:39:49,680 Speaker 1: join our discord, join our telegram groups, you know, come 791 00:39:49,719 --> 00:39:52,719 Speaker 1: to our Reddit page, participate, see what's going on, and 792 00:39:53,000 --> 00:39:55,360 Speaker 1: we're always up there. I definitely encourage our team to 793 00:39:55,360 --> 00:39:57,959 Speaker 1: be very active with the community so you can reach 794 00:39:57,960 --> 00:40:02,000 Speaker 1: out to us directly. Please do cool All right, good stuff. 795 00:40:02,000 --> 00:40:04,000 Speaker 1: Thanks so much for the conversation, Rob, I look forward 796 00:40:04,000 --> 00:40:07,520 Speaker 1: to it again sometime. Thank you, Mark, appreciate it. Hey, 797 00:40:07,600 --> 00:40:10,520 Speaker 1: if you like this, episode of the Market Disruptors Podcast. 798 00:40:10,640 --> 00:40:13,080 Speaker 1: Please help us take this to the top of the 799 00:40:13,120 --> 00:40:16,000 Speaker 1: podcast charts. Just please do me a favor and rate, 800 00:40:16,080 --> 00:40:19,400 Speaker 1: review and subscribe. Taking fifteen seconds to just leave a 801 00:40:19,480 --> 00:40:22,000 Speaker 1: quick review goes a long way and helping us reach 802 00:40:22,040 --> 00:40:25,160 Speaker 1: more people and disrupt more markets. I really appreciate you 803 00:40:25,200 --> 00:40:27,400 Speaker 1: listening and I'll see you next time on the Market 804 00:40:27,400 --> 00:40:28,400 Speaker 1: Disruptors Podcast.