1 00:00:00,160 --> 00:00:03,800 Speaker 1: Bitcoin just hit one hundred thousand, and now it's pulling back. 2 00:00:04,040 --> 00:00:06,720 Speaker 1: So is this the moment that everyone's been waiting for 3 00:00:07,160 --> 00:00:09,800 Speaker 1: or the one they've been fearing? But what if I 4 00:00:09,880 --> 00:00:11,800 Speaker 1: told you it's totally different. What if I told you 5 00:00:11,840 --> 00:00:14,960 Speaker 1: this isn't just another milestone, It's actually part of a 6 00:00:15,120 --> 00:00:19,840 Speaker 1: three hundred year pattern that predicts exactly what happens next. Now, 7 00:00:19,880 --> 00:00:23,160 Speaker 1: for the last three centuries, this pattern has repeated itself 8 00:00:23,400 --> 00:00:28,319 Speaker 1: five times, reshaping technology, wealth, and even the world. Now 9 00:00:28,360 --> 00:00:31,360 Speaker 1: bitcoin is following the same blueprint. But what it means 10 00:00:31,360 --> 00:00:34,640 Speaker 1: for the future is where things get truly shocking. So 11 00:00:34,720 --> 00:00:37,360 Speaker 1: in this video, I'm gonna break down this three hundred 12 00:00:37,440 --> 00:00:39,880 Speaker 1: year pattern. I'm gonna show you what it reveals about 13 00:00:39,920 --> 00:00:43,279 Speaker 1: bitcoin's next move and why this moment could define the 14 00:00:43,320 --> 00:00:46,559 Speaker 1: future of wealth creation, and give us a playbook for 15 00:00:46,640 --> 00:00:49,600 Speaker 1: how to navigate all of this. My name is Mark Moss. 16 00:00:49,600 --> 00:00:52,479 Speaker 1: I've been making videos on bitcoin for about eight years. 17 00:00:52,600 --> 00:00:55,920 Speaker 1: I coached thousands of investors on investing. I'm a partner 18 00:00:55,920 --> 00:00:58,680 Speaker 1: of a leading bitcoin venture capital fund called the Bitcoin 19 00:00:58,680 --> 00:01:02,040 Speaker 1: Opportunity Fund on the cvo of Matador, a new public 20 00:01:02,120 --> 00:01:05,240 Speaker 1: bitcoin company, and these models are what we use as 21 00:01:05,280 --> 00:01:08,520 Speaker 1: our guides, So stick around because what happens next might 22 00:01:08,600 --> 00:01:12,120 Speaker 1: surprise you and could even change everything. So let's go 23 00:01:14,319 --> 00:01:16,440 Speaker 1: all right, So we're gonna jump right into this and 24 00:01:16,520 --> 00:01:20,360 Speaker 1: we're gonna show you, using historical models where bitcoin goes 25 00:01:20,560 --> 00:01:23,520 Speaker 1: well into the future. So the first thing is has 26 00:01:23,560 --> 00:01:26,760 Speaker 1: bitcoin hit the ceiling or is this a new floor? 27 00:01:26,880 --> 00:01:30,080 Speaker 1: Now we hit one hundred thousand dollars and yes, it 28 00:01:30,120 --> 00:01:32,280 Speaker 1: has been pulling back at the time this recording depends 29 00:01:32,280 --> 00:01:34,920 Speaker 1: on when you're watching this, So is this a by 30 00:01:35,000 --> 00:01:37,520 Speaker 1: the dip moment or is it sell it short before 31 00:01:37,560 --> 00:01:40,040 Speaker 1: it goes out? Is one hundred thousand the top? And 32 00:01:40,160 --> 00:01:42,360 Speaker 1: really where does it go? Now? We have to understand 33 00:01:42,480 --> 00:01:46,640 Speaker 1: that when prices are going up, there's psychological levels. So 34 00:01:46,680 --> 00:01:50,120 Speaker 1: when bitcoin hit a thousand, that was a psychological level. 35 00:01:50,280 --> 00:01:52,360 Speaker 1: When it got to ten thousand, it was a level, 36 00:01:52,640 --> 00:01:55,160 Speaker 1: and now at one hundred thousand, it's a level. So 37 00:01:55,200 --> 00:01:57,280 Speaker 1: we want to know where does it go from here? 38 00:01:57,440 --> 00:02:00,560 Speaker 1: Is it too late, is it too expensive? Or are 39 00:02:00,600 --> 00:02:03,320 Speaker 1: we going much higher much faster. Well, there's a couple 40 00:02:03,360 --> 00:02:05,240 Speaker 1: of things we want to look at. So first of all, 41 00:02:05,280 --> 00:02:07,600 Speaker 1: as I said, right, depending on when you're watching this, 42 00:02:08,040 --> 00:02:11,000 Speaker 1: the price of bitcoin is pulling back from that level, 43 00:02:11,360 --> 00:02:13,680 Speaker 1: the psychological level of one hundred thousand. But I want 44 00:02:13,720 --> 00:02:16,400 Speaker 1: to show right we sat at this level. You have 45 00:02:16,440 --> 00:02:20,560 Speaker 1: to understand things move up and down, and now we're 46 00:02:20,600 --> 00:02:23,440 Speaker 1: in that same sort of a range. But remember this 47 00:02:23,480 --> 00:02:26,320 Speaker 1: is a psychological level, and then we'll use history to 48 00:02:26,360 --> 00:02:28,640 Speaker 1: see where we go. And one of the things that's 49 00:02:28,680 --> 00:02:32,120 Speaker 1: happening from the psychological level is Bloomberg, which makes the 50 00:02:32,160 --> 00:02:35,320 Speaker 1: Bloomberg terminal. You see me using charts from Bloomberg terminal 51 00:02:35,360 --> 00:02:38,000 Speaker 1: all the time. It's about twenty to thirty thousand a 52 00:02:38,160 --> 00:02:40,799 Speaker 1: month for a subscription to it to pull charts. This 53 00:02:40,840 --> 00:02:42,680 Speaker 1: is where I mean, if you're can afford thirty thousand 54 00:02:42,680 --> 00:02:45,520 Speaker 1: a month, this is where the institutional allocators play. And 55 00:02:45,600 --> 00:02:48,640 Speaker 1: you can see in the Bloomberg terminal it now shows 56 00:02:48,639 --> 00:02:52,080 Speaker 1: the bitcoin price as a percentage of one million, so 57 00:02:52,120 --> 00:02:55,960 Speaker 1: it's no longer showing eighty thousand or one hundred thousand, 58 00:02:56,000 --> 00:02:59,639 Speaker 1: it's now showing it as zero point one million. Of 59 00:02:59,680 --> 00:03:01,600 Speaker 1: the reason why this is important is because what's known 60 00:03:01,639 --> 00:03:04,080 Speaker 1: as unit bias. So a lot of people think that 61 00:03:04,120 --> 00:03:07,200 Speaker 1: bitcoin's too expensive, so I'll buy something cheaper like those 62 00:03:07,240 --> 00:03:10,240 Speaker 1: coin for example. The unit bias makes them think that 63 00:03:10,240 --> 00:03:13,119 Speaker 1: they should buy something cheaper. But now the unit bias 64 00:03:13,120 --> 00:03:17,560 Speaker 1: of allocators, institutional allocators now shows it as a fraction 65 00:03:17,760 --> 00:03:20,120 Speaker 1: of one million. What do you think that does to 66 00:03:20,160 --> 00:03:24,520 Speaker 1: the psychological level of these institutional allocators. The reason why 67 00:03:24,560 --> 00:03:26,880 Speaker 1: I point at that for a second is because a 68 00:03:26,880 --> 00:03:29,560 Speaker 1: lot of times when we're looking at macroeconomic pictures, we're 69 00:03:29,560 --> 00:03:32,320 Speaker 1: looking at what central bankers and policies will do. You 70 00:03:32,440 --> 00:03:34,560 Speaker 1: can't just look at the data. This is the gripe 71 00:03:34,600 --> 00:03:36,200 Speaker 1: that I have with a lot of the people that 72 00:03:36,240 --> 00:03:37,880 Speaker 1: are on YouTube, that I'm friends with, I speak at 73 00:03:37,880 --> 00:03:40,400 Speaker 1: conferences with that are very very smart, some of them 74 00:03:40,440 --> 00:03:43,080 Speaker 1: smarter than me, But they take out they don't take 75 00:03:43,120 --> 00:03:48,000 Speaker 1: into account the psychological level, the psychological reasons behind these. 76 00:03:48,000 --> 00:03:49,920 Speaker 1: They look at the data only, and you miss out 77 00:03:49,920 --> 00:03:53,760 Speaker 1: a big piece. Now, another big psychological piece that we 78 00:03:53,760 --> 00:03:56,520 Speaker 1: can talk about is Trump, who now wants to be 79 00:03:56,680 --> 00:03:58,720 Speaker 1: the bitcoin president. As a matter of fact, he tweeted 80 00:03:58,760 --> 00:04:01,840 Speaker 1: out congratulates in bitcoin on this one hundred thousand dollars level. 81 00:04:02,000 --> 00:04:05,320 Speaker 1: He said, you're welcome. So think about this from a 82 00:04:05,360 --> 00:04:09,760 Speaker 1: psychological level. Trump has now taken credit for the price 83 00:04:09,800 --> 00:04:11,880 Speaker 1: hitting that level. I don't give him credit for it, 84 00:04:11,960 --> 00:04:14,960 Speaker 1: but he's taking credit for it. So now psychologically he 85 00:04:15,040 --> 00:04:17,880 Speaker 1: doesn't want to let that fall. He wants bitcoin to 86 00:04:17,880 --> 00:04:21,760 Speaker 1: be his legacy making America great again. So where does 87 00:04:21,880 --> 00:04:25,480 Speaker 1: that take bitcoin? How do we put that into account? Now? 88 00:04:25,520 --> 00:04:26,920 Speaker 1: The last thing I want to say before I jump 89 00:04:26,920 --> 00:04:28,920 Speaker 1: in and show you the historical model that's been hit 90 00:04:28,960 --> 00:04:31,960 Speaker 1: three hundred times five times. Before I say that, I 91 00:04:32,040 --> 00:04:33,960 Speaker 1: want to just say one more thing about union bias, 92 00:04:34,000 --> 00:04:36,240 Speaker 1: and that is, if you think about bitcoin hitting one 93 00:04:36,279 --> 00:04:39,160 Speaker 1: hundred thousand or whatever, it's ninety five thousand today, is 94 00:04:39,200 --> 00:04:41,919 Speaker 1: it too late? And the question I would ask is 95 00:04:41,920 --> 00:04:45,480 Speaker 1: the problem that most amateur what we call the dumb money. 96 00:04:45,480 --> 00:04:47,720 Speaker 1: There's the smart money, which is institution allocators. There's a 97 00:04:47,760 --> 00:04:49,920 Speaker 1: dumb money, which includes you and I. What the dumb 98 00:04:49,920 --> 00:04:52,960 Speaker 1: money gets wrong is that most of those are looking 99 00:04:53,040 --> 00:04:55,560 Speaker 1: in the rear view mirror. So what do I mean 100 00:04:55,560 --> 00:04:57,640 Speaker 1: by that. Let's just use real estate for an example. 101 00:04:57,720 --> 00:05:00,599 Speaker 1: You know my real estate background. A lot of people 102 00:05:00,640 --> 00:05:02,640 Speaker 1: that I worked with, invested with, even my family had 103 00:05:02,640 --> 00:05:05,400 Speaker 1: bought a lot of properties in Florida going into the 104 00:05:05,440 --> 00:05:07,720 Speaker 1: twenty two thousand and five six two thousand and seven, 105 00:05:07,760 --> 00:05:10,160 Speaker 1: when the real estate market was taking off, of course, 106 00:05:10,200 --> 00:05:12,599 Speaker 1: that real estate market crash and the great financial crash 107 00:05:12,600 --> 00:05:15,720 Speaker 1: of two thousand and eight. The bottom of that market 108 00:05:15,839 --> 00:05:18,920 Speaker 1: happened around twenty eleven twenty twelve for most of most 109 00:05:18,960 --> 00:05:21,560 Speaker 1: of the US, so the bottom was set in which 110 00:05:21,640 --> 00:05:24,080 Speaker 1: was way cheaper than where it had been in two 111 00:05:24,120 --> 00:05:26,679 Speaker 1: thousand and five, two thousand and six, two thousand and seven, 112 00:05:26,880 --> 00:05:29,360 Speaker 1: So twenty twelve was the bottom, and then the price 113 00:05:29,360 --> 00:05:33,640 Speaker 1: started going back up again. By two fourteen, twenty fifteen, 114 00:05:33,720 --> 00:05:35,960 Speaker 1: Florida had started getting pretty good again. The prices were 115 00:05:35,960 --> 00:05:38,360 Speaker 1: pretty high, and a lot of investors, real estate investors 116 00:05:38,400 --> 00:05:40,640 Speaker 1: at the time, were saying, oh no, it's way too expensive. 117 00:05:40,680 --> 00:05:44,040 Speaker 1: It's way too expensive. And I said too expensive compared 118 00:05:44,040 --> 00:05:46,920 Speaker 1: to what right our brains are comparing mechanisms. They were 119 00:05:46,960 --> 00:05:49,760 Speaker 1: looking in the rear view. Well, it was too expensive. 120 00:05:49,800 --> 00:05:51,839 Speaker 1: It was way more expensive than it was in twenty 121 00:05:51,880 --> 00:05:55,000 Speaker 1: twelve at the very bottom. It wasn't more expensive from 122 00:05:55,040 --> 00:05:56,719 Speaker 1: where it was in two thousand and eight at the peak, 123 00:05:56,960 --> 00:06:00,320 Speaker 1: and it certainly wasn't expensive compared to where it was 124 00:06:00,440 --> 00:06:04,400 Speaker 1: going as in like twenty twenty, twenty twenty one. But 125 00:06:04,560 --> 00:06:07,640 Speaker 1: it was too expensive compared to where it was. They 126 00:06:07,680 --> 00:06:09,920 Speaker 1: were looking in the rearview mirror. That's what a lot 127 00:06:09,960 --> 00:06:12,760 Speaker 1: of people get wrong about bitcoin. It's too expensive because 128 00:06:12,800 --> 00:06:14,599 Speaker 1: it used to be ten cents or thirty cents or 129 00:06:14,640 --> 00:06:17,279 Speaker 1: one thousand or ten thousand or fifty thousand, and now 130 00:06:17,360 --> 00:06:19,480 Speaker 1: it's one hundred thousand. You're looking in the rearview. What 131 00:06:19,520 --> 00:06:20,919 Speaker 1: we want to do is we want to look in 132 00:06:20,960 --> 00:06:23,279 Speaker 1: the windshields. You should be driving in the windshield now, 133 00:06:23,320 --> 00:06:26,479 Speaker 1: in your rearview. This is what venture capital investors do. 134 00:06:26,520 --> 00:06:28,239 Speaker 1: This is what we do in my venture capital fund. 135 00:06:28,640 --> 00:06:31,799 Speaker 1: We look at a brand new company, it's just starting, 136 00:06:31,880 --> 00:06:34,640 Speaker 1: maybe no revenues yet, and we try to think, in 137 00:06:34,680 --> 00:06:37,800 Speaker 1: the windshield, where will this be? How much could it 138 00:06:37,800 --> 00:06:39,719 Speaker 1: be in the future. We don't go, well, you just started, 139 00:06:39,800 --> 00:06:42,320 Speaker 1: it's worth nothing, so it's too expensive now. No, we're 140 00:06:42,320 --> 00:06:44,880 Speaker 1: looking at a forward looking and so let me show 141 00:06:44,920 --> 00:06:47,960 Speaker 1: you how we can use history to then project forward. Okay, 142 00:06:48,000 --> 00:06:49,440 Speaker 1: So the first thing we'll do is we'll go backwards 143 00:06:49,440 --> 00:06:51,880 Speaker 1: in history. Then we'll go forward into the windshield. Okay, 144 00:06:52,040 --> 00:06:55,400 Speaker 1: so three hundred years of data. It's pretty good. It's 145 00:06:55,440 --> 00:06:57,640 Speaker 1: pretty comprehensive. As a matter of fact, if you think 146 00:06:57,640 --> 00:07:00,960 Speaker 1: about it, and if we think about things in terms 147 00:07:00,960 --> 00:07:02,720 Speaker 1: of cycles, which I use a lot of, and when 148 00:07:02,720 --> 00:07:05,760 Speaker 1: you think in terms of technical analysis, we have things 149 00:07:05,800 --> 00:07:08,880 Speaker 1: that what we'd call maybe a triple top before breakout, 150 00:07:09,240 --> 00:07:11,960 Speaker 1: or sometimes there's a triple bottom before it falls down. 151 00:07:12,160 --> 00:07:15,160 Speaker 1: And what happens is each time it tests that level, 152 00:07:15,360 --> 00:07:18,720 Speaker 1: it builds up strength, It builds up energy for a 153 00:07:18,720 --> 00:07:21,840 Speaker 1: bigger move. Now, what happens is as it continues to 154 00:07:21,880 --> 00:07:25,600 Speaker 1: test and retest and retest, it builds confidence that will happen. 155 00:07:25,800 --> 00:07:27,720 Speaker 1: Let me give you an example. So most of you, 156 00:07:27,760 --> 00:07:30,239 Speaker 1: if you're watching this video, you probably already know about bitcoin. 157 00:07:30,320 --> 00:07:33,280 Speaker 1: You know that every four years there's a having cycle, 158 00:07:33,520 --> 00:07:36,000 Speaker 1: so that means the new supply bitcoin being added gets 159 00:07:36,000 --> 00:07:38,840 Speaker 1: cut in half every four years. Now, you can see 160 00:07:38,840 --> 00:07:41,920 Speaker 1: that we've had four of these having cycles so far, 161 00:07:42,200 --> 00:07:44,640 Speaker 1: the first Having cycle, second, third, fourth, and you can 162 00:07:44,680 --> 00:07:48,120 Speaker 1: see that each one leads to a big move up 163 00:07:49,120 --> 00:07:51,480 Speaker 1: because it's a supply shock, supply and demand. You cut 164 00:07:51,480 --> 00:07:54,280 Speaker 1: the supply in half, the price moves up. Now I 165 00:07:54,280 --> 00:07:56,320 Speaker 1: think there's something deeper. I think it has to do 166 00:07:56,360 --> 00:07:59,000 Speaker 1: with global liquidity cycles. We're not going to get into 167 00:07:59,000 --> 00:08:01,200 Speaker 1: that right now. Another video on that leave me a 168 00:08:01,240 --> 00:08:04,120 Speaker 1: comment down below, But about each every four years, the 169 00:08:04,120 --> 00:08:07,120 Speaker 1: supply gets cut in half, the price moves up. This 170 00:08:07,520 --> 00:08:12,560 Speaker 1: pattern has basically repeated every Having cycle now for four times. 171 00:08:12,720 --> 00:08:14,400 Speaker 1: When I ask people, do you think it's gonna happen 172 00:08:14,440 --> 00:08:16,880 Speaker 1: again a fifth time, most people would say yes, it's 173 00:08:16,880 --> 00:08:20,200 Speaker 1: happened four times, almost identical. Why wouldn't it continue to 174 00:08:20,240 --> 00:08:22,520 Speaker 1: happen on the fifth time? Okay, So that means there's 175 00:08:22,600 --> 00:08:25,080 Speaker 1: four times. That means the confidence of it happened at 176 00:08:25,080 --> 00:08:27,360 Speaker 1: fifth time is higher. Now if it happens ten times, 177 00:08:27,480 --> 00:08:30,840 Speaker 1: the confidence that happened another time is even higher. Right, Okay, 178 00:08:31,040 --> 00:08:33,160 Speaker 1: So let's take a look at this cycle that's happened 179 00:08:33,400 --> 00:08:36,760 Speaker 1: five times, and we're on our sixth time right now, 180 00:08:36,920 --> 00:08:38,880 Speaker 1: and you might say, well, there's pretty good chance it 181 00:08:38,960 --> 00:08:42,120 Speaker 1: repeats again, and I would say yes. So about every 182 00:08:42,240 --> 00:08:45,160 Speaker 1: fifty years, we have what I call this quantum leap, 183 00:08:45,480 --> 00:08:48,400 Speaker 1: this technological cycle that happens where the world moves in 184 00:08:48,440 --> 00:08:54,160 Speaker 1: this quantum leap. It's happened one, two, three, four, five times, 185 00:08:54,679 --> 00:08:57,880 Speaker 1: and it's now happening. It's six times more than the 186 00:08:57,880 --> 00:09:02,000 Speaker 1: Bitcoin Having cycle, and it's played out almost identical every 187 00:09:02,040 --> 00:09:04,680 Speaker 1: single time. And the beauty is that we can use 188 00:09:04,720 --> 00:09:08,679 Speaker 1: this historical cycle. So then overlay into the technology cycle 189 00:09:08,679 --> 00:09:11,240 Speaker 1: that we're having today. Now, one important piece is not 190 00:09:11,280 --> 00:09:14,280 Speaker 1: just about bitcoin. It's what I'm calling the decentralized revolution. 191 00:09:14,559 --> 00:09:17,719 Speaker 1: So it's a cluster of technology, several technologies that come 192 00:09:17,760 --> 00:09:19,960 Speaker 1: together to give us a new set of building blocks. 193 00:09:20,080 --> 00:09:24,600 Speaker 1: So we have bitcoin, we have AI, we have quantum computing. 194 00:09:24,840 --> 00:09:28,040 Speaker 1: All of that coming together could give us a new 195 00:09:28,080 --> 00:09:30,800 Speaker 1: set of building blocks. So now we're on the sixth one. 196 00:09:30,840 --> 00:09:33,240 Speaker 1: That's happened, all right, So let's take a look at 197 00:09:33,400 --> 00:09:37,040 Speaker 1: what this pattern is that unfolds and how repeatable, how 198 00:09:37,080 --> 00:09:40,000 Speaker 1: reliable this pattern is. So we have to understand that 199 00:09:40,040 --> 00:09:44,040 Speaker 1: there's four different phases inside of this fifty year cycle. 200 00:09:44,080 --> 00:09:46,720 Speaker 1: Now it's not exactly fifty years. It could be forty, 201 00:09:46,760 --> 00:09:49,160 Speaker 1: it could be seventy, but it's around that range. And 202 00:09:49,200 --> 00:09:52,080 Speaker 1: we know there's four phases into that. Now it sort 203 00:09:52,120 --> 00:09:56,000 Speaker 1: of looks like this. There's two stages and there's four periods. 204 00:09:56,040 --> 00:09:59,199 Speaker 1: And this is another term in technology, we'd call this diffusion. 205 00:09:59,360 --> 00:10:02,720 Speaker 1: So long for this technology to reach adoption, so we 206 00:10:02,840 --> 00:10:05,559 Speaker 1: have what's known as the big bang, and it goes 207 00:10:05,600 --> 00:10:09,080 Speaker 1: into the eruption phase is where this new technology storms 208 00:10:09,080 --> 00:10:11,240 Speaker 1: the scene. So to speak erupts. Then we have the 209 00:10:11,280 --> 00:10:14,320 Speaker 1: frenzy phase. Then we have what's called the synergy phase, 210 00:10:14,400 --> 00:10:16,800 Speaker 1: and then finally the maturity phase. Now it's important to 211 00:10:16,800 --> 00:10:20,520 Speaker 1: note that it takes over where one cycle is ending 212 00:10:21,280 --> 00:10:25,480 Speaker 1: the next one is beginning. So personal computers, telecom Internet 213 00:10:25,800 --> 00:10:28,160 Speaker 1: was the last cycle, the last fifty year cycle. I'm 214 00:10:28,160 --> 00:10:29,760 Speaker 1: going to show you more about that in a minute. 215 00:10:30,040 --> 00:10:33,880 Speaker 1: And what happened is that Internet, all of that started failing, 216 00:10:33,880 --> 00:10:36,080 Speaker 1: They started getting to centralized starts falling apart. So we 217 00:10:36,120 --> 00:10:38,200 Speaker 1: have the birth of a news system that will take 218 00:10:38,280 --> 00:10:41,679 Speaker 1: over that energy. But there's the eruption frenzy. Those are 219 00:10:41,720 --> 00:10:44,280 Speaker 1: two phases in the first part, and then we have 220 00:10:44,320 --> 00:10:46,559 Speaker 1: synergy and maturity the two phases in the last one. 221 00:10:46,600 --> 00:10:48,400 Speaker 1: And it always works this way, and then we'll have 222 00:10:48,679 --> 00:10:51,160 Speaker 1: the next big bang in the next cycle. We'll start 223 00:10:51,200 --> 00:10:54,240 Speaker 1: from there. Now, if I overlay this with time periods, 224 00:10:54,280 --> 00:10:56,280 Speaker 1: just so you can see what we're looking at. This 225 00:10:56,400 --> 00:10:58,920 Speaker 1: is twenty ten to twenty twenty, that's the first phase. 226 00:10:59,040 --> 00:11:02,040 Speaker 1: Twenty twenty to twenty thirty phase number two, twenty thirty 227 00:11:02,080 --> 00:11:04,680 Speaker 1: to number forty, phase number three, and twenty forty to 228 00:11:04,720 --> 00:11:07,920 Speaker 1: twenty fifty would be phase four. And that would complete 229 00:11:08,080 --> 00:11:11,640 Speaker 1: this fifty year cycle within this and you might recognize 230 00:11:11,679 --> 00:11:14,400 Speaker 1: this pattern right here if you're a technology person. I'm 231 00:11:14,440 --> 00:11:16,199 Speaker 1: going to come back to that in a minute, but 232 00:11:16,320 --> 00:11:19,959 Speaker 1: let me give you some examples of history. So remember 233 00:11:20,200 --> 00:11:23,600 Speaker 1: the last one started nineteen seventy one, and this was 234 00:11:23,679 --> 00:11:28,080 Speaker 1: the microprocessor, which brought personal computers, telecom and the internet. 235 00:11:28,080 --> 00:11:31,920 Speaker 1: So so the microprocess was the first one. Nineteen seventy one, 236 00:11:31,960 --> 00:11:35,480 Speaker 1: the birth of the microprocessor with Intel. Now what's important 237 00:11:35,520 --> 00:11:37,760 Speaker 1: is if you map this from an investor standpoint, a 238 00:11:37,800 --> 00:11:41,440 Speaker 1: price level standpoint, you map this technology cycle over with 239 00:11:41,480 --> 00:11:43,800 Speaker 1: the price you see Intel here, and what you see 240 00:11:43,920 --> 00:11:46,600 Speaker 1: for the first cycle, first part of the cycle, first 241 00:11:46,600 --> 00:11:54,080 Speaker 1: twenty years, Intel price went up twenty three thousand percent 242 00:11:54,200 --> 00:11:58,640 Speaker 1: in price. Twenty three thousand percent in price. Now that 243 00:11:58,679 --> 00:12:01,920 Speaker 1: went up so cross, so much, so crazy that everyone 244 00:12:01,920 --> 00:12:03,840 Speaker 1: looked at the Intaeil said that's got to be a bubble. 245 00:12:04,120 --> 00:12:06,880 Speaker 1: It's so expensive. There's no way it can go from here. 246 00:12:07,080 --> 00:12:09,120 Speaker 1: I need to go find the next microprocessor. I need 247 00:12:09,160 --> 00:12:11,760 Speaker 1: to find a cheaper microprocessor. Because it went up twenty 248 00:12:11,760 --> 00:12:14,560 Speaker 1: three thousand percent. I missed out. Oh always me, I 249 00:12:14,640 --> 00:12:17,240 Speaker 1: never catch these, et cetera, et cetera. But what happened 250 00:12:17,360 --> 00:12:20,920 Speaker 1: is that was phase one. A small business owner, are 251 00:12:20,960 --> 00:12:23,760 Speaker 1: you buried in all types of work keeping you from 252 00:12:23,840 --> 00:12:26,360 Speaker 1: the real thing that makes you money? Well that's where 253 00:12:26,520 --> 00:12:28,600 Speaker 1: just Works comes in. They're the all in one platform 254 00:12:28,640 --> 00:12:31,719 Speaker 1: that supports small business growth. 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So visit justworks 262 00:12:57,679 --> 00:13:01,600 Speaker 1: dot com slash podcast to join thousands of small businesses 263 00:13:01,600 --> 00:13:04,760 Speaker 1: that trust Just Works to take care of payroll, benefits, 264 00:13:04,920 --> 00:13:10,719 Speaker 1: compliance and more. Again that's just Works dot com slash podcast. 265 00:13:11,360 --> 00:13:17,040 Speaker 1: In phase two, right here, it went up another twenty 266 00:13:17,080 --> 00:13:21,240 Speaker 1: six thousand percent. So everyone sat on the sidelines. Oh 267 00:13:21,280 --> 00:13:23,400 Speaker 1: I missed out, it's too late, it's too expensive. Why 268 00:13:23,440 --> 00:13:25,800 Speaker 1: didn't I get in earlier? And it went up even 269 00:13:25,920 --> 00:13:29,880 Speaker 1: more twenty six thousand percent. Now I can show you 270 00:13:29,920 --> 00:13:32,080 Speaker 1: example after example and I'm gonna show you some more. 271 00:13:32,280 --> 00:13:36,560 Speaker 1: It wasn't just Intel, it wasn't just microprocessors. As a 272 00:13:36,559 --> 00:13:39,120 Speaker 1: matter of fact, like I said, the microprocessor brought us 273 00:13:39,160 --> 00:13:43,200 Speaker 1: the boom of the computer and telecom and all of 274 00:13:43,200 --> 00:13:46,120 Speaker 1: those we can see here Apple. So then the microprocessor 275 00:13:46,160 --> 00:13:49,720 Speaker 1: brought us personal computers. Now, Apple went up one point 276 00:13:50,080 --> 00:13:53,880 Speaker 1: five million percent one point five million percent in this 277 00:13:53,920 --> 00:13:56,720 Speaker 1: first phase. And again everyone said, oh I missed it, 278 00:13:56,720 --> 00:13:59,160 Speaker 1: it's too late. Why didn't I buy it? I always 279 00:13:59,160 --> 00:14:01,960 Speaker 1: miss these things, and they sat on the sidelines. And 280 00:14:01,960 --> 00:14:04,640 Speaker 1: then Apple went into phase two and went up another 281 00:14:05,040 --> 00:14:09,600 Speaker 1: fifty thousand percent from there, an enormous amount. And so 282 00:14:09,679 --> 00:14:13,599 Speaker 1: what happens is you can see these cycles are dependable, reliable. 283 00:14:13,760 --> 00:14:17,120 Speaker 1: Microsoft I believe, went up about was it thirty forty 284 00:14:17,200 --> 00:14:19,920 Speaker 1: thousand percent in phase one, phase two, went up over 285 00:14:20,040 --> 00:14:23,600 Speaker 1: a million percent in phase two. Well, everyone sat on 286 00:14:23,640 --> 00:14:27,160 Speaker 1: the sidelines, thinking that they missed it, that it's too expensive, 287 00:14:27,680 --> 00:14:31,560 Speaker 1: not realizing that these things move in cycles. That makes sense, 288 00:14:31,840 --> 00:14:34,280 Speaker 1: all right. So now that you understand that, you've seen 289 00:14:34,320 --> 00:14:37,920 Speaker 1: the historical relation to that, let's overlay this and look 290 00:14:37,960 --> 00:14:40,920 Speaker 1: at where we are in this new age of decentralization 291 00:14:41,040 --> 00:14:43,200 Speaker 1: and bitcoin, et cetera. Okay, so the first thing you 292 00:14:43,200 --> 00:14:46,280 Speaker 1: have to understand is that there's again four phases and 293 00:14:46,320 --> 00:14:49,800 Speaker 1: we can overlay them with phase one twenty ten or 294 00:14:49,840 --> 00:14:53,160 Speaker 1: twenty twenty being this eruption phase, and really it's the 295 00:14:53,200 --> 00:14:56,640 Speaker 1: age of retail. So there's the very first part of 296 00:14:56,240 --> 00:15:00,120 Speaker 1: the technology of diffusion where just the true believers, the 297 00:15:00,160 --> 00:15:03,120 Speaker 1: early adopters, the tinkers, the nerds, if you will, they 298 00:15:03,160 --> 00:15:05,920 Speaker 1: all start to come to play. It's a very small 299 00:15:05,960 --> 00:15:09,400 Speaker 1: piece that's retail. But what happens is in phase two, 300 00:15:09,760 --> 00:15:14,000 Speaker 1: as we move from the first phase into phase two, 301 00:15:15,160 --> 00:15:17,800 Speaker 1: it's now called the frenzy phase. Now this is where 302 00:15:17,840 --> 00:15:20,600 Speaker 1: we start getting wider adoption, where a lot more people coming. 303 00:15:20,720 --> 00:15:23,480 Speaker 1: It's been proven out by the true believers, the early adopters, 304 00:15:23,640 --> 00:15:25,600 Speaker 1: and now everybody else wants to jump in and get 305 00:15:25,600 --> 00:15:28,320 Speaker 1: a piece of the pie. And this is really illustrated 306 00:15:28,320 --> 00:15:32,600 Speaker 1: through the institutional phase. So right now you know the institutions, 307 00:15:32,640 --> 00:15:36,360 Speaker 1: the wall streets, the ETFs, the black Rocks, and yes, 308 00:15:36,400 --> 00:15:39,680 Speaker 1: even the governments, the sovereigns are starting to come into 309 00:15:39,720 --> 00:15:42,640 Speaker 1: this institutional phase, which is why it's a frenzy, which 310 00:15:42,640 --> 00:15:44,920 Speaker 1: is why it's starting to move so fast. Okay, Now 311 00:15:44,960 --> 00:15:47,760 Speaker 1: if we take that and we overlay it with another chart, 312 00:15:47,920 --> 00:15:50,200 Speaker 1: so we can understand this a little bit better. We 313 00:15:50,240 --> 00:15:52,480 Speaker 1: have the same chart now, but now I've put something 314 00:15:52,560 --> 00:15:54,960 Speaker 1: called an S curve onto ear. An S curve is 315 00:15:54,960 --> 00:15:58,640 Speaker 1: a tool that we can use to measure adoption of technology, 316 00:15:58,800 --> 00:16:01,160 Speaker 1: but you can use it to measure the things like viruses, 317 00:16:01,200 --> 00:16:04,000 Speaker 1: even things like that, And it's a way to measure 318 00:16:04,080 --> 00:16:07,960 Speaker 1: how fast adoption could get through a society. So basically, 319 00:16:08,000 --> 00:16:09,560 Speaker 1: the way it works is the time it takes to 320 00:16:09,600 --> 00:16:13,600 Speaker 1: go from zero to ten percent adoption is the same 321 00:16:13,600 --> 00:16:15,720 Speaker 1: amount of time it takes to go from ten percent 322 00:16:16,200 --> 00:16:19,800 Speaker 1: to ninety percent adoption. All right, that's the way this move. 323 00:16:19,880 --> 00:16:23,160 Speaker 1: So now we overlay the four different phases of the 324 00:16:23,160 --> 00:16:26,600 Speaker 1: fifty year cycle, and we overlay it with an S curve. 325 00:16:26,680 --> 00:16:29,400 Speaker 1: And what we see is that while this part of 326 00:16:29,440 --> 00:16:32,640 Speaker 1: the move, again with Intel and Apple and even with Bitcoin, 327 00:16:32,960 --> 00:16:35,600 Speaker 1: everybody thinks they missed out. Oh my gosh, it moves 328 00:16:35,600 --> 00:16:37,160 Speaker 1: so much, I wish I would have bought it before, 329 00:16:37,280 --> 00:16:39,840 Speaker 1: So they sat on the sidelines. We can see why 330 00:16:39,880 --> 00:16:42,880 Speaker 1: the second part of the move is the biggest part 331 00:16:42,960 --> 00:16:45,480 Speaker 1: of the move, the frenzy. It's where the institutions, where 332 00:16:45,480 --> 00:16:47,240 Speaker 1: the sovereigns where they come in. And I've put some 333 00:16:47,320 --> 00:16:50,480 Speaker 1: green lines here show and illustrate this how big of 334 00:16:50,520 --> 00:16:53,960 Speaker 1: this move. It's instead of moving linear, it starts to 335 00:16:54,080 --> 00:16:57,400 Speaker 1: move parabolic. You can see that move right there, and 336 00:16:57,440 --> 00:16:59,560 Speaker 1: that's why everyone thinks where this red line is they've 337 00:16:59,560 --> 00:17:02,360 Speaker 1: missed out. But the biggest move is here. Remember Phase 338 00:17:02,400 --> 00:17:06,880 Speaker 1: one is retail, you and I, and sure billions, hundreds 339 00:17:06,920 --> 00:17:10,199 Speaker 1: of billions of dollars came into the space. Certainly we 340 00:17:10,240 --> 00:17:12,639 Speaker 1: saw it go up. But now with the frenzy phase, 341 00:17:12,680 --> 00:17:15,800 Speaker 1: with the institutions and the sovereigns, we're talking about trillions 342 00:17:15,800 --> 00:17:18,760 Speaker 1: of dollars much bigger. The move in front of us 343 00:17:18,840 --> 00:17:20,840 Speaker 1: is going to be much bigger than most people can 344 00:17:20,880 --> 00:17:25,560 Speaker 1: even imagine. Okay, now where does that put us at 345 00:17:25,560 --> 00:17:27,960 Speaker 1: the end of this phase two? Now we can go 346 00:17:28,000 --> 00:17:31,040 Speaker 1: to phase three in phase four, and that's for another video. 347 00:17:31,200 --> 00:17:32,440 Speaker 1: But where does that put us at the end of 348 00:17:32,480 --> 00:17:36,080 Speaker 1: phase two which will be somewhere around twenty thirty? So 349 00:17:36,480 --> 00:17:38,679 Speaker 1: is it too late for bitcoins? Should I short it? 350 00:17:38,680 --> 00:17:40,280 Speaker 1: Should I sell it? Should I get out of it? 351 00:17:40,400 --> 00:17:42,720 Speaker 1: Will it keep going up? Should I go hunt for 352 00:17:42,800 --> 00:17:45,359 Speaker 1: some smaller coins? They're going to be more explosive. Is 353 00:17:45,400 --> 00:17:48,000 Speaker 1: it going to boom or bust? Well, remember, we can 354 00:17:48,359 --> 00:17:51,280 Speaker 1: measure the slope, so when we look at that S curve, 355 00:17:51,600 --> 00:17:53,959 Speaker 1: it helps us understand where that's going. But what we 356 00:17:53,960 --> 00:17:56,320 Speaker 1: want to do is we want to look at some historical numbers, 357 00:17:57,080 --> 00:17:59,320 Speaker 1: and then we want to look at some growth drivers, 358 00:17:59,800 --> 00:18:02,200 Speaker 1: and then we want to project that into the forward. 359 00:18:02,440 --> 00:18:04,320 Speaker 1: This is what a venture capital would do if you're 360 00:18:04,359 --> 00:18:07,399 Speaker 1: investing in new technologies like Uber and Airbnb. This is 361 00:18:07,440 --> 00:18:09,320 Speaker 1: what you would do. Is how we do it. Okay, 362 00:18:09,359 --> 00:18:11,280 Speaker 1: so we measured the slope. I showed you that it 363 00:18:11,320 --> 00:18:15,359 Speaker 1: goes nonlinear but instead parabolic. So we understand that that 364 00:18:15,400 --> 00:18:18,560 Speaker 1: means the growth, the rate of growth should change. Okay, 365 00:18:18,600 --> 00:18:20,679 Speaker 1: So we want to look at the historical numbers and 366 00:18:20,720 --> 00:18:23,920 Speaker 1: then we want to understand the drivers of these numbers. 367 00:18:24,000 --> 00:18:25,560 Speaker 1: So let me show you a couple of things. First 368 00:18:25,600 --> 00:18:28,680 Speaker 1: of all, I've talked about this before. So bitcoin is 369 00:18:28,720 --> 00:18:31,199 Speaker 1: not competing as a new technology, it's not competing as 370 00:18:31,240 --> 00:18:34,920 Speaker 1: a payment network. It's competing against the store of value 371 00:18:34,960 --> 00:18:39,000 Speaker 1: assets value itself. So we look at assets that are 372 00:18:39,040 --> 00:18:42,639 Speaker 1: store by assets like gold, collectibles, equities, real estate, bonds, money, 373 00:18:42,680 --> 00:18:46,280 Speaker 1: et cetera. So if I was pitching on Uber or Airbnb, 374 00:18:46,600 --> 00:18:50,400 Speaker 1: we would say, well, Airbnb is competing against hotels. So 375 00:18:50,480 --> 00:18:53,320 Speaker 1: the hotel industry is this big, the total addressable market 376 00:18:53,320 --> 00:18:56,280 Speaker 1: the TAM. If I could take x percentage, five percent, 377 00:18:56,359 --> 00:18:59,400 Speaker 1: ten percent from the TAM of the hotel market, it'd 378 00:18:59,440 --> 00:19:03,320 Speaker 1: be worth this much. Uber disrupting taxis, limos, vans, et cetera. 379 00:19:03,800 --> 00:19:07,680 Speaker 1: So Bitcoin is taking value. It's disrupting all these store 380 00:19:07,720 --> 00:19:09,760 Speaker 1: value assets. It'll take a little bit from gold, a 381 00:19:09,760 --> 00:19:12,560 Speaker 1: little bit from collectibles, equities, et cetera. Now, this is 382 00:19:12,560 --> 00:19:15,480 Speaker 1: from twenty twenty to where I project things to be 383 00:19:15,560 --> 00:19:18,800 Speaker 1: a twenty thirty. Let's just start here. The money supply 384 00:19:19,000 --> 00:19:22,040 Speaker 1: was ninety five trillion dollars in twenty twenty, and I 385 00:19:22,119 --> 00:19:25,000 Speaker 1: projected to be somewhere around two hundred and five trillion, 386 00:19:25,359 --> 00:19:30,520 Speaker 1: which is eight percent growth throughout the decade. Now eight 387 00:19:30,560 --> 00:19:32,640 Speaker 1: percent is a little bit low. Now the reason why 388 00:19:32,760 --> 00:19:34,879 Speaker 1: is not only do we have historical numbers, but we 389 00:19:34,960 --> 00:19:37,280 Speaker 1: also look at the growth of this. So the government, 390 00:19:37,400 --> 00:19:40,320 Speaker 1: the United States government, the US dollar, the reserve currency 391 00:19:40,320 --> 00:19:43,320 Speaker 1: the world. The CBO is the Congressional Budget Office. They 392 00:19:43,480 --> 00:19:46,159 Speaker 1: give us these numbers. They project out where we'll be 393 00:19:46,240 --> 00:19:49,000 Speaker 1: through the next thirty years by twenty fifty four. Now, 394 00:19:49,160 --> 00:19:51,760 Speaker 1: currently the money supply the FED balance sheet is growing 395 00:19:51,800 --> 00:19:55,439 Speaker 1: by thirteen percent a year, so I've only put eight percent. 396 00:19:55,480 --> 00:19:57,560 Speaker 1: I'm undershooting this a little bit to give us a 397 00:19:57,560 --> 00:20:01,120 Speaker 1: little bit of conservative numbers. Bonds hundred trillion and twenty twenty, 398 00:20:01,119 --> 00:20:03,320 Speaker 1: I project them to grow by five percent a year 399 00:20:03,359 --> 00:20:06,040 Speaker 1: to four eighty eight. Now, if you understand this, I 400 00:20:06,040 --> 00:20:07,679 Speaker 1: talk about this all the time. When the money supply 401 00:20:07,760 --> 00:20:11,320 Speaker 1: goes up, real estate in equities are basically perfect proxies 402 00:20:11,320 --> 00:20:13,520 Speaker 1: for those. So I put them going up by eight percent. 403 00:20:13,800 --> 00:20:16,119 Speaker 1: Real estate goes to seven hundred trillion, Equities goes to 404 00:20:16,160 --> 00:20:19,240 Speaker 1: two hundred and five trillion, Gold goes from eleven point 405 00:20:19,280 --> 00:20:21,520 Speaker 1: five right now, I think we're about fourteen to fifteen, 406 00:20:21,760 --> 00:20:24,919 Speaker 1: it goes to twenty trillion, and I project bitcoins it 407 00:20:25,000 --> 00:20:28,760 Speaker 1: started at five hundred and thirty billion or point five trillion, 408 00:20:28,800 --> 00:20:32,280 Speaker 1: twenty twenty, we'll get to twenty one trillion market cap, 409 00:20:32,480 --> 00:20:35,000 Speaker 1: which is only a fifty percent growth rate. Now, when 410 00:20:35,040 --> 00:20:38,800 Speaker 1: I say only fifty percent per year right now, the 411 00:20:38,880 --> 00:20:41,120 Speaker 1: last four to five years it's been going up about 412 00:20:41,160 --> 00:20:44,119 Speaker 1: sixty percent, So I project it will slow down a 413 00:20:44,160 --> 00:20:46,159 Speaker 1: little bit going into the rest of the decade and 414 00:20:46,359 --> 00:20:48,920 Speaker 1: end up at about twenty one trillion market cap. Now, 415 00:20:49,359 --> 00:20:52,240 Speaker 1: to put this into some perspective for us, that means 416 00:20:52,520 --> 00:20:55,600 Speaker 1: total store value assets go up to about one point 417 00:20:55,680 --> 00:21:00,159 Speaker 1: six almost one point seven quadrillion by that time. At 418 00:21:00,200 --> 00:21:03,840 Speaker 1: that point, bitcoin has only captured one point twenty five 419 00:21:03,920 --> 00:21:07,760 Speaker 1: percent of the store of value assets. It's about on 420 00:21:07,880 --> 00:21:10,280 Speaker 1: par with gold. Now, what does that look like a 421 00:21:10,280 --> 00:21:12,440 Speaker 1: lot of people think that in order to get there, 422 00:21:12,840 --> 00:21:15,400 Speaker 1: that you know, the dollar has to die, all these 423 00:21:15,440 --> 00:21:17,720 Speaker 1: assets have to die. That's not the case. If we 424 00:21:17,760 --> 00:21:19,639 Speaker 1: look at the store of value assets, we see real 425 00:21:19,760 --> 00:21:22,160 Speaker 1: estate is the largest store valo as at seven hundred trillion, 426 00:21:22,200 --> 00:21:25,120 Speaker 1: bonds four hundred eighty trillion, equities two hundred trillion, money 427 00:21:25,119 --> 00:21:27,280 Speaker 1: two hundred and five trillion, And at this point, by 428 00:21:27,320 --> 00:21:31,040 Speaker 1: twenty thirty, gold and bitcoin are basically about the same 429 00:21:31,119 --> 00:21:35,840 Speaker 1: size twenty twenty one trillion. So Bitcoin has grown by 430 00:21:35,880 --> 00:21:38,680 Speaker 1: taking a little bit of value from each one of these, 431 00:21:38,920 --> 00:21:40,800 Speaker 1: but none of them are dead, nor is the dollar. 432 00:21:41,080 --> 00:21:42,720 Speaker 1: A lot of people think, we alleah, when bitcoin's worth 433 00:21:42,760 --> 00:21:44,800 Speaker 1: one million dollars, then what's the dollar worth? How much 434 00:21:44,840 --> 00:21:47,440 Speaker 1: is the tank of gas. It doesn't mean the dollar dies. 435 00:21:47,720 --> 00:21:49,760 Speaker 1: It means that it pulls value from each of those 436 00:21:49,800 --> 00:21:53,560 Speaker 1: now only taking one percent one and a quarter percent, 437 00:21:53,640 --> 00:21:56,800 Speaker 1: Now is that realistic? Remember, if I think like a 438 00:21:56,880 --> 00:22:00,639 Speaker 1: venture capitalist, we would say what markets are we disrupting? 439 00:22:00,720 --> 00:22:06,040 Speaker 1: Remember Uber and Airbnb are disrupting van taxi rides or hotels? 440 00:22:06,440 --> 00:22:08,960 Speaker 1: Now we would project at what percentage do we think 441 00:22:09,080 --> 00:22:12,320 Speaker 1: is realistic to capture over what period of time? And 442 00:22:12,359 --> 00:22:15,320 Speaker 1: so we'd say, well, how much do I think bitcoin 443 00:22:15,359 --> 00:22:18,840 Speaker 1: can pull from those others? Is one percent realistic? Well? 444 00:22:19,119 --> 00:22:21,920 Speaker 1: What did Airbnb and Uber do? Well, we know that 445 00:22:22,200 --> 00:22:26,000 Speaker 1: in the first ten years Uber and Airbnb launched. Within 446 00:22:26,040 --> 00:22:28,600 Speaker 1: the first ten years, they were able to capture take 447 00:22:29,040 --> 00:22:32,120 Speaker 1: ten percent of their market shares, ten percent in less 448 00:22:32,119 --> 00:22:36,680 Speaker 1: than ten years. Now we're projecting Bitcoin by twenty thirty 449 00:22:37,000 --> 00:22:40,280 Speaker 1: to only get one and a quarter percent, which I 450 00:22:40,280 --> 00:22:43,199 Speaker 1: think seems pretty low. I think it's a conservative estimate. Now, 451 00:22:43,200 --> 00:22:45,120 Speaker 1: where does it be in twenty go, in twenty forty 452 00:22:45,160 --> 00:22:48,200 Speaker 1: and twenty fifty that's for another video. But then again, 453 00:22:48,240 --> 00:22:50,320 Speaker 1: think about this, So back to the question, is it 454 00:22:50,359 --> 00:22:54,240 Speaker 1: too late? Is bitcoin too expensive? Too expensive compared to what? 455 00:22:55,119 --> 00:22:57,159 Speaker 1: Too expensive compared to where it was when it was 456 00:22:57,200 --> 00:23:00,080 Speaker 1: ten cents one thousand dollars or ten thousand or or 457 00:23:00,160 --> 00:23:02,320 Speaker 1: is it too expensive compared to where it is going 458 00:23:02,359 --> 00:23:04,480 Speaker 1: to be in twenty thirty, twenty forty and twenty fifty. 459 00:23:04,800 --> 00:23:07,200 Speaker 1: If I believe as I do, it'll be worth one 460 00:23:07,240 --> 00:23:10,119 Speaker 1: million and twenty thirty. But I can buy it today 461 00:23:10,400 --> 00:23:14,399 Speaker 1: for only one hundred thousand. Sounds very cheap, But let 462 00:23:14,440 --> 00:23:16,639 Speaker 1: me know what you think. Put it down the scription 463 00:23:16,760 --> 00:23:18,639 Speaker 1: down below, in the comments down below, mine of them 464 00:23:18,800 --> 00:23:20,359 Speaker 1: you think if you want to release the other videos 465 00:23:20,359 --> 00:23:22,639 Speaker 1: for twenty forty and twenty fifty, leave me a comment 466 00:23:22,720 --> 00:23:24,840 Speaker 1: and let me know. And that's what I got, all right, 467 00:23:24,840 --> 00:23:26,760 Speaker 1: to your success. I'm out,