1 00:00:21,993 --> 00:00:25,923 S1: The idea that UBI reduces the need to work isn't new, 2 00:00:25,923 --> 00:00:29,283 S1: but recent studies show that it does not lead to 3 00:00:29,313 --> 00:00:33,003 S1: better jobs or more education. I think the issue here 4 00:00:33,003 --> 00:00:35,133 S1: is that certain people will spend free time and money 5 00:00:35,133 --> 00:00:38,403 S1: to better themselves, and certain people won't, and it's not 6 00:00:38,403 --> 00:00:41,583 S1: clear why that is. It's not clear what the actual 7 00:00:41,583 --> 00:00:46,323 S1: genius like factor is, but the way forward is basically 8 00:00:46,323 --> 00:00:49,023 S1: trying to figure out what that is and not believing 9 00:00:49,023 --> 00:00:51,933 S1: in fairy tales like giving away free money will make 10 00:00:51,933 --> 00:00:56,073 S1: everyone ambitious. It does not. And this reminds me of 11 00:00:56,103 --> 00:00:59,703 S1: a lesson that's very similar that I learned like 20 12 00:00:59,703 --> 00:01:03,603 S1: years of hiring people, which is exposing people to training 13 00:01:03,603 --> 00:01:09,093 S1: and encouragement makes the best people stand out, but it 14 00:01:09,093 --> 00:01:13,173 S1: does not turn everyone into the best people. And I've 15 00:01:13,173 --> 00:01:16,833 S1: known this because I tried because I tried for like 16 00:01:16,863 --> 00:01:20,973 S1: ten years with cohort after cohort where I would just 17 00:01:20,973 --> 00:01:23,463 S1: be like, oh, well, my training wasn't good enough. That's 18 00:01:23,463 --> 00:01:26,723 S1: why they didn't get it, or they were distracted or 19 00:01:26,723 --> 00:01:29,153 S1: they were busy or whatever. So I just keep hitting 20 00:01:29,153 --> 00:01:32,693 S1: him and keep dumping hours and hours and hours and 21 00:01:32,693 --> 00:01:35,843 S1: more training and more training and send them into more classes. 22 00:01:35,873 --> 00:01:38,033 S1: And you come back to them and you're like, hey, 23 00:01:38,033 --> 00:01:40,463 S1: what have you done? They're like, I don't know. I 24 00:01:40,463 --> 00:01:44,843 S1: didn't do anything. What should I do? And you're like, uh, no, no. 25 00:01:44,843 --> 00:01:46,973 S1: So you've you've got to figure out what you want 26 00:01:47,003 --> 00:01:49,163 S1: to do. You've got to I've given you all the training, 27 00:01:49,163 --> 00:01:54,143 S1: I've given you all the stuff and, uh, all the books. 28 00:01:54,143 --> 00:01:56,123 S1: And I gave you all the demos. I told you 29 00:01:56,123 --> 00:01:58,373 S1: how to set up the demos. I showed you how 30 00:01:58,373 --> 00:02:02,093 S1: to set up the tech, and, um, have you done 31 00:02:02,093 --> 00:02:05,363 S1: any of that? And they're like, no, what should I 32 00:02:05,363 --> 00:02:07,913 S1: do first? I don't I don't know how to do 33 00:02:07,913 --> 00:02:10,523 S1: any of that. Can you show me? And you're like, well, 34 00:02:10,553 --> 00:02:12,653 S1: I showed you four times. You want me to show 35 00:02:12,653 --> 00:02:14,243 S1: you a fifth time? Okay, sure. I'll show you a 36 00:02:14,243 --> 00:02:17,393 S1: fifth time. Show them a fifth time. Come back two 37 00:02:17,393 --> 00:02:21,473 S1: weeks later. Hey, how's it going? Going with what? With 38 00:02:21,473 --> 00:02:24,473 S1: the stuff we talked about last time. And they're like, 39 00:02:24,503 --> 00:02:26,573 S1: yeah I never got around to that. Like, I couldn't 40 00:02:26,573 --> 00:02:29,993 S1: find this one driver. Like, there was a driver down low, 41 00:02:30,013 --> 00:02:33,553 S1: but the driver download didn't work. It's like, okay, well, 42 00:02:33,553 --> 00:02:35,773 S1: did you research that? No. How would I do that? 43 00:02:35,803 --> 00:02:40,513 S1: Can you help me? That that ends up being like 44 00:02:40,813 --> 00:02:45,373 S1: 50 to 80% of everyone. Here's the alternative. Here's the 45 00:02:45,583 --> 00:02:51,823 S1: alternate version of a star. Okay. You're like, hey, um. Hey, everyone. 46 00:02:51,823 --> 00:02:55,603 S1: So check this out. This is a class about. And 47 00:02:55,603 --> 00:02:57,793 S1: you see a hand go up. Hey, look, I read 48 00:02:57,793 --> 00:03:01,183 S1: the whole document. Um, I looked forward in the class. 49 00:03:01,183 --> 00:03:04,543 S1: I've got this thing running, but there's an error. Um, 50 00:03:04,573 --> 00:03:07,633 S1: so I fixed it, and I stood up a different version, 51 00:03:07,633 --> 00:03:10,693 S1: and it's running. Can I show you? And you're like, okay, 52 00:03:10,693 --> 00:03:13,993 S1: so you basically read everything, jumped ahead in the class, 53 00:03:13,993 --> 00:03:16,783 S1: built something. It didn't work, but you fixed it, and 54 00:03:16,783 --> 00:03:19,723 S1: now you're running a different version and you want to 55 00:03:19,723 --> 00:03:21,433 S1: show it to me now. But I just started my 56 00:03:21,433 --> 00:03:25,963 S1: first sentence of the class and they're like, oh yeah, sorry. Yeah. 57 00:03:25,993 --> 00:03:30,943 S1: Please continue. Sorry. I was just excited The difference between 58 00:03:30,943 --> 00:03:36,003 S1: these two things are so insane. Okay. And what I've 59 00:03:36,003 --> 00:03:40,323 S1: learned after all these years is that if you're trying 60 00:03:40,323 --> 00:03:44,793 S1: to build a star team and you're trying to build 61 00:03:44,823 --> 00:03:48,873 S1: like a group of the best people, what you want 62 00:03:48,903 --> 00:03:52,953 S1: to do is throw help and throw training and throw 63 00:03:52,953 --> 00:03:58,683 S1: encouragement to a massive group of people and not judge, 64 00:03:58,683 --> 00:04:03,573 S1: not prejudge, not do anything. You have no idea. You 65 00:04:03,573 --> 00:04:06,573 S1: have no idea. It's not people who wear yellow shirts. 66 00:04:06,573 --> 00:04:10,563 S1: It's not people from Idaho. It's not people from Mississippi. 67 00:04:10,593 --> 00:04:15,273 S1: You have no idea what the criteria are like background, 68 00:04:15,273 --> 00:04:19,743 S1: ethnic group, you education, background. Are they educated? Do they 69 00:04:19,743 --> 00:04:23,013 S1: have a PhD? Do they have two master's degrees? Are 70 00:04:23,013 --> 00:04:26,913 S1: they still in high school? You don't know. And that's 71 00:04:26,913 --> 00:04:29,733 S1: the smartest thing you could possibly realize is that you 72 00:04:29,733 --> 00:04:34,023 S1: have no idea. You have no idea who's going to 73 00:04:34,233 --> 00:04:39,803 S1: just be kind of, like, complete, Completely inert and just 74 00:04:39,803 --> 00:04:43,643 S1: unable to learn and unwilling to learn and unable to 75 00:04:43,673 --> 00:04:49,103 S1: absorb any amount of effort that you give. Versus some 76 00:04:49,103 --> 00:04:55,253 S1: random person who doesn't think much of themselves and are 77 00:04:55,253 --> 00:05:01,703 S1: unassuming and quiet and they just absolute sponge. Absolute murderer. 78 00:05:01,733 --> 00:05:06,473 S1: Like the the craziest, best IT person you've ever found. 79 00:05:06,743 --> 00:05:10,133 S1: And suddenly they just can't shut up about everything. It's like, oh, 80 00:05:10,133 --> 00:05:13,403 S1: and I did this and I read everything. All those 81 00:05:13,403 --> 00:05:16,133 S1: books that you recommended. And then I went and downloaded 82 00:05:16,133 --> 00:05:18,413 S1: this and I oh, but I changed it. And I 83 00:05:18,413 --> 00:05:20,873 S1: want to show you this thing, and you're just like, 84 00:05:20,903 --> 00:05:24,203 S1: Holy crap. They were sitting right next to the other 85 00:05:24,203 --> 00:05:27,653 S1: person who I gave the same exact training. This is 86 00:05:27,653 --> 00:05:33,863 S1: a lesson, incredibly powerful lesson. And to bring it back 87 00:05:33,863 --> 00:05:38,363 S1: to this article, I believe the same thing is true 88 00:05:38,393 --> 00:05:42,453 S1: with UBI. The same thing is true with social Programs. 89 00:05:42,453 --> 00:05:46,473 S1: The same thing is true with all these different things. 90 00:05:46,473 --> 00:05:49,383 S1: So the whole trick and we're going to get a 91 00:05:49,383 --> 00:05:52,923 S1: little broad here. The whole trick is to make sure 92 00:05:52,923 --> 00:05:58,923 S1: that no one's at a disadvantage, okay. Cause trauma because 93 00:05:58,923 --> 00:06:04,893 S1: they're hungry. Because they can't afford coverage. Right. Because there 94 00:06:04,893 --> 00:06:09,403 S1: are stars all throughout this entire population. This these 8 95 00:06:09,403 --> 00:06:12,813 S1: billion people that we have. There are stars who you 96 00:06:12,813 --> 00:06:15,153 S1: will never know if they're a star because they can't 97 00:06:15,153 --> 00:06:19,143 S1: make it to your class because they're working seven jobs 98 00:06:19,293 --> 00:06:22,683 S1: and they got an ant and a dog and a 99 00:06:22,683 --> 00:06:27,033 S1: and a parent and a girlfriend or a boyfriend who 100 00:06:27,033 --> 00:06:31,923 S1: is sick. And so they're over here juggling and they're 101 00:06:31,923 --> 00:06:35,823 S1: another Einstein, they're another von Neumann. And you will never 102 00:06:35,823 --> 00:06:39,573 S1: know because they got screwed. They got screwed by luck 103 00:06:40,803 --> 00:06:44,553 S1: So the goal and now we're going really broad. The 104 00:06:44,583 --> 00:06:47,393 S1: goal is to build a society in which nobody is 105 00:06:47,393 --> 00:06:50,903 S1: screwed in that way. And when they do get messed 106 00:06:50,903 --> 00:06:54,623 S1: over in that way, we help them. We help them 107 00:06:54,623 --> 00:06:59,153 S1: get back into this, remove the obstacles so that everyone 108 00:06:59,153 --> 00:07:01,853 S1: has the opportunity to be one of these stars to 109 00:07:01,883 --> 00:07:08,483 S1: stand out. But we should not think that everyone who 110 00:07:08,483 --> 00:07:14,603 S1: gets exposed to the opportunities is necessarily going to be 111 00:07:14,603 --> 00:07:18,323 S1: one of those stand out people. So if we see variation, 112 00:07:18,533 --> 00:07:20,963 S1: which is probably going to look a lot like a 113 00:07:20,963 --> 00:07:23,543 S1: bell curve, right, you're going to have most people in 114 00:07:23,543 --> 00:07:28,313 S1: the middle. Um, when you see that variation, you should 115 00:07:28,343 --> 00:07:31,583 S1: be like, yep, that's exactly what we expect to see. 116 00:07:32,003 --> 00:07:34,883 S1: Most people in the middle, some people who don't want 117 00:07:34,913 --> 00:07:37,733 S1: to do anything despite any training, and some people who 118 00:07:37,733 --> 00:07:42,353 S1: could just hear the first word and write a book. Right. 119 00:07:42,353 --> 00:07:47,903 S1: That's just expected. Now, I would say that there's some 120 00:07:47,903 --> 00:07:50,353 S1: nuance here in the sense that, like, okay, if we 121 00:07:50,353 --> 00:07:56,293 S1: can identify that grit and self-discipline and I don't know, 122 00:07:56,293 --> 00:07:59,503 S1: something that we could try to put into culture, something 123 00:07:59,503 --> 00:08:02,983 S1: we could try to put into education systems, something that 124 00:08:02,983 --> 00:08:06,163 S1: we could try to put into training, something we could 125 00:08:06,163 --> 00:08:10,993 S1: try to put into parental education if we could find 126 00:08:10,993 --> 00:08:13,903 S1: those tokens and just like, make sure they're part of 127 00:08:13,903 --> 00:08:18,523 S1: the training and that helps lift everyone or some number 128 00:08:18,523 --> 00:08:22,903 S1: of people, that'll be fantastic. But it has to start 129 00:08:22,903 --> 00:08:28,363 S1: with realizing there's going to be a distribution and that's 130 00:08:28,363 --> 00:08:33,703 S1: going to be based on meritocracy, which is good. However, 131 00:08:33,703 --> 00:08:38,263 S1: the whole purpose of society and liberal society, or liberal 132 00:08:38,413 --> 00:08:43,723 S1: liberal approach to building a society is making sure that 133 00:08:43,723 --> 00:08:52,033 S1: everyone can enter into the meritocracy funnel without disadvantage. That's 134 00:08:52,033 --> 00:08:54,223 S1: that's the goal. That's the trick.