1 00:00:00,000 --> 00:00:02,080 Speaker 1: Hello, and welcome to another episode of the Mark Mos Show, 2 00:00:02,080 --> 00:00:05,200 Speaker 1: where we're talking about the decentralized revolution, talking about the 3 00:00:05,200 --> 00:00:07,600 Speaker 1: way the world is changing. Of course we look at 4 00:00:07,600 --> 00:00:11,399 Speaker 1: it through the lens of politics, finance, and technology, and 5 00:00:11,400 --> 00:00:13,720 Speaker 1: of course that technology we look at is bitcoin and 6 00:00:13,760 --> 00:00:17,880 Speaker 1: the decentralized revolution that that is bringing us. And speaking 7 00:00:17,920 --> 00:00:21,520 Speaker 1: of bitcoin, it has been somewhat of a wild ride 8 00:00:22,320 --> 00:00:26,160 Speaker 1: and then it's been kind of boring at the same time. Now, 9 00:00:26,239 --> 00:00:31,080 Speaker 1: I often say that looking at the price is boring. Right, 10 00:00:31,280 --> 00:00:34,240 Speaker 1: There's so much going on with this brand new revolutionary technology, 11 00:00:34,479 --> 00:00:36,000 Speaker 1: and if all you're doing is focused on the on 12 00:00:36,040 --> 00:00:39,360 Speaker 1: the price of it, you're missing everything that's going on. 13 00:00:39,400 --> 00:00:41,720 Speaker 1: And of course with brand new technologies, we don't want 14 00:00:41,720 --> 00:00:43,360 Speaker 1: to look at the price. The price is distraction. We're 15 00:00:43,360 --> 00:00:45,600 Speaker 1: looking at the growth of the network, the development on 16 00:00:45,600 --> 00:00:50,680 Speaker 1: the network. But UM, I like to say that it's 17 00:00:50,720 --> 00:00:53,000 Speaker 1: sort of like this bait and switch where people come 18 00:00:53,040 --> 00:00:55,400 Speaker 1: in for the money, for the price of it, and 19 00:00:55,440 --> 00:01:00,319 Speaker 1: then they stay for the freedom aspect of it. UM. 20 00:01:00,360 --> 00:01:01,720 Speaker 1: And so when we're looking at the price of it, 21 00:01:01,800 --> 00:01:06,000 Speaker 1: we can see that um, the price, like I said, 22 00:01:06,040 --> 00:01:07,800 Speaker 1: has been wild and then it's been boring and then 23 00:01:07,800 --> 00:01:09,280 Speaker 1: it's been wild and has been bored. And what I 24 00:01:09,319 --> 00:01:13,000 Speaker 1: mean by that is that we saw bitcoin if if 25 00:01:13,000 --> 00:01:14,720 Speaker 1: it depends on what time frame you looking at, but 26 00:01:14,760 --> 00:01:18,559 Speaker 1: we can see Bitcoin has is down about right now 27 00:01:18,600 --> 00:01:24,040 Speaker 1: today about seventy from its previous all time high set 28 00:01:24,120 --> 00:01:27,600 Speaker 1: back in November of last year, over a year ago. Man, 29 00:01:27,760 --> 00:01:30,920 Speaker 1: it's been that long already. It's crazy. UM. So we 30 00:01:30,920 --> 00:01:34,720 Speaker 1: can see it's been down. It's about this year, UM. 31 00:01:34,760 --> 00:01:39,119 Speaker 1: And for many times throughout that decline, it's like stuck 32 00:01:39,160 --> 00:01:43,320 Speaker 1: in hold in a certain range. So uh, for example, 33 00:01:43,959 --> 00:01:48,000 Speaker 1: there was about you know, several months where it kind 34 00:01:48,040 --> 00:01:51,760 Speaker 1: of sat in this like forty dollar range, and then 35 00:01:51,800 --> 00:01:53,400 Speaker 1: there was like a few months where it sat in 36 00:01:53,440 --> 00:01:57,920 Speaker 1: it's like thirty thousand dollar range, UM, twenty dollar range. 37 00:01:58,160 --> 00:02:00,160 Speaker 1: We're starting to joke about it like, well, bit, it's 38 00:02:00,200 --> 00:02:02,800 Speaker 1: kind of like the stable coin UM. And now Bitcoin 39 00:02:02,960 --> 00:02:06,560 Speaker 1: is kind of sitting here in this next range, UM 40 00:02:06,600 --> 00:02:11,760 Speaker 1: sort of in this you know, sixteen range where it's apt. 41 00:02:12,800 --> 00:02:15,080 Speaker 1: And the reason why I say that is because we've 42 00:02:15,120 --> 00:02:20,440 Speaker 1: seen this year bad bad news happening throughout the cryptocurrency 43 00:02:20,600 --> 00:02:23,200 Speaker 1: market really and it started back. I mean obviously the 44 00:02:23,200 --> 00:02:26,560 Speaker 1: self started in November when the FED announced they would 45 00:02:26,560 --> 00:02:29,000 Speaker 1: start raising rates, which end of the kind of run 46 00:02:29,080 --> 00:02:34,680 Speaker 1: for risk on assets. So not just Bitcoin, but Facebook 47 00:02:34,960 --> 00:02:40,520 Speaker 1: and Tesla and Netflix and you know, Shopify and PayPal 48 00:02:40,760 --> 00:02:44,120 Speaker 1: and you know all of those, and so all of 49 00:02:44,160 --> 00:02:47,240 Speaker 1: us going assets started selling off. But then it triggered 50 00:02:47,240 --> 00:02:53,560 Speaker 1: off a gigantic domino effect inside the cryptocurrency space of 51 00:02:53,919 --> 00:02:58,320 Speaker 1: blow ups. And we're talking about Tera Luna, which in 52 00:02:58,400 --> 00:03:01,360 Speaker 1: the Celsius and Theros Capital and the bitcoin miners. And 53 00:03:01,400 --> 00:03:03,840 Speaker 1: it's been one after and after after another. And as 54 00:03:03,960 --> 00:03:07,480 Speaker 1: each of these big first hair lunas sixty billion dollars, 55 00:03:07,520 --> 00:03:10,880 Speaker 1: I mean, Boom gone, right, sixty billion gone. Then we 56 00:03:10,919 --> 00:03:13,440 Speaker 1: saw three years Capital and Celsius gone another I think 57 00:03:13,480 --> 00:03:17,080 Speaker 1: there's another thirty thirty billion gone. And now you know 58 00:03:17,200 --> 00:03:21,079 Speaker 1: FTX blew up, another ten billion gone. And each one 59 00:03:21,120 --> 00:03:24,040 Speaker 1: of these has caused more collapses, and we saw the 60 00:03:24,040 --> 00:03:26,720 Speaker 1: bitcoin and cryptocurrency price just continue drop and drop and 61 00:03:26,800 --> 00:03:29,240 Speaker 1: drop and drop and drop. Now the reason why I 62 00:03:29,320 --> 00:03:31,040 Speaker 1: kind of walk you through that again for a second 63 00:03:31,160 --> 00:03:37,080 Speaker 1: is because economics, you know, markets isn't as difficult as 64 00:03:37,120 --> 00:03:41,720 Speaker 1: meet people make it seem to be. Really, it's supply 65 00:03:41,760 --> 00:03:45,520 Speaker 1: and demand. If you have more demand than you have supply, 66 00:03:46,360 --> 00:03:48,520 Speaker 1: then prices go up. If you have less demand than supply, 67 00:03:48,560 --> 00:03:52,560 Speaker 1: prices go down. Pretty simple, um, And really, when do 68 00:03:53,120 --> 00:03:55,560 Speaker 1: prices stopped going down? People want to find out when 69 00:03:55,680 --> 00:03:58,960 Speaker 1: is the bottom or when's the top? Well, the bottom 70 00:03:59,200 --> 00:04:02,760 Speaker 1: price stopped going down when there's no more sellers left, 71 00:04:03,680 --> 00:04:06,240 Speaker 1: just like prices stopped going up when there's no more 72 00:04:06,240 --> 00:04:09,520 Speaker 1: buyers left. And so bitcoin seems to have found that 73 00:04:09,840 --> 00:04:14,520 Speaker 1: level of no more sellers left, and it's been sitting there, 74 00:04:14,960 --> 00:04:16,920 Speaker 1: and that's why it seems to be kind of sitting 75 00:04:16,960 --> 00:04:20,719 Speaker 1: at this level. We can see here though that UM 76 00:04:20,839 --> 00:04:26,000 Speaker 1: the largest cryptocurrency exchange Binance, who basically got into this 77 00:04:26,080 --> 00:04:28,080 Speaker 1: war with f t X and f t X lost. 78 00:04:28,400 --> 00:04:31,760 Speaker 1: Finance CEO says that deposits are starting to come back in, 79 00:04:32,480 --> 00:04:35,440 Speaker 1: but he sees a bumpy road ahead for the crypto firm. 80 00:04:35,480 --> 00:04:38,599 Speaker 1: And so what we can see is that everybody is 81 00:04:38,640 --> 00:04:42,120 Speaker 1: now shell shocked. Everybody's now waiting for the next exchange, 82 00:04:42,160 --> 00:04:43,919 Speaker 1: the blowp what's gonna be the next big blow up? 83 00:04:43,920 --> 00:04:47,360 Speaker 1: Is there gonna be another big drop coming and so 84 00:04:47,920 --> 00:04:50,920 Speaker 1: everybody's looking for that, and so everyone thinks maybe Finance 85 00:04:51,000 --> 00:04:53,680 Speaker 1: is the next one, and Finance says that last week 86 00:04:53,680 --> 00:04:55,839 Speaker 1: the company issued a proof of reserves in which it 87 00:04:55,880 --> 00:04:58,159 Speaker 1: claims to have a reserved ratio of a hundred and 88 00:04:58,200 --> 00:05:02,279 Speaker 1: one percent, which means it has enough assets to cover 89 00:05:02,520 --> 00:05:08,160 Speaker 1: customer deposits. And they they they released their bitcoin custody 90 00:05:08,160 --> 00:05:11,360 Speaker 1: reserves which showed that they have all the bitcoin on 91 00:05:11,400 --> 00:05:14,080 Speaker 1: their books. So when ft X blew up, they had 92 00:05:14,680 --> 00:05:17,520 Speaker 1: believe it was one point four billion dollars worth of 93 00:05:17,520 --> 00:05:20,520 Speaker 1: bitcoin of their books, where I should say otherwise, customers 94 00:05:21,120 --> 00:05:24,359 Speaker 1: thought they owned one point four billion dollars worth of 95 00:05:24,360 --> 00:05:28,200 Speaker 1: bitcoin at ft X, and f t X had twenty 96 00:05:28,360 --> 00:05:32,160 Speaker 1: thousand dollars of bitcoin to cover the one point four 97 00:05:32,480 --> 00:05:37,400 Speaker 1: billion that it owed. But it looks here that UM 98 00:05:37,520 --> 00:05:40,880 Speaker 1: Finance has proven that they do have the custody of 99 00:05:40,920 --> 00:05:44,680 Speaker 1: those assets to fulfill that and so starting to bring 100 00:05:44,880 --> 00:05:48,560 Speaker 1: a little bit of UM, a little bit of stability 101 00:05:48,640 --> 00:05:50,760 Speaker 1: back to the back to the ecosystem. Now we can 102 00:05:50,760 --> 00:05:53,919 Speaker 1: see that UM there were some really big withdraws happening. 103 00:05:53,920 --> 00:05:56,320 Speaker 1: As a matter of fact of Dylan Leclair, who somebody 104 00:05:56,320 --> 00:05:59,080 Speaker 1: have had on the show before UM he posted that 105 00:05:59,400 --> 00:06:04,760 Speaker 1: we saw Seper thirteenth, the largest twenty four hour flow 106 00:06:05,040 --> 00:06:08,840 Speaker 1: of stable coins out of finance so outflowing out of Binance. 107 00:06:09,400 --> 00:06:12,840 Speaker 1: We saw two point one five billion dollars with the 108 00:06:12,839 --> 00:06:16,520 Speaker 1: stable coins pulled out, and we saw the largest amount 109 00:06:16,560 --> 00:06:20,479 Speaker 1: of bitcoin pulled out of Binance ever. Almost forty thousand 110 00:06:20,520 --> 00:06:23,800 Speaker 1: bitcoin were pulled from Binance at the exact same time 111 00:06:23,960 --> 00:06:27,599 Speaker 1: December thirteenth, and they were able to handle that and 112 00:06:27,640 --> 00:06:30,839 Speaker 1: that was good. C Z, the CEO of Finance, put 113 00:06:30,839 --> 00:06:32,640 Speaker 1: out a tweet. He said that we have we've seen 114 00:06:32,680 --> 00:06:35,960 Speaker 1: some of the withdraws today over a billion dollars. We've 115 00:06:35,960 --> 00:06:38,839 Speaker 1: seen this before. UM. Some days we have net withdraws, 116 00:06:38,960 --> 00:06:41,479 Speaker 1: some days we have net net deposits. This business as 117 00:06:41,560 --> 00:06:45,200 Speaker 1: usual for us. He said that. He said that however, 118 00:06:45,440 --> 00:06:48,440 Speaker 1: this wasn't the biggest. We've had much bigger than this before. 119 00:06:48,960 --> 00:06:51,400 Speaker 1: This was just a stress test and it worked out 120 00:06:51,440 --> 00:06:54,960 Speaker 1: for us. It's kind of calm in the markets, and 121 00:06:54,960 --> 00:06:57,039 Speaker 1: of course we didn't see the price of bitcoin drop. 122 00:06:57,760 --> 00:07:00,839 Speaker 1: Um crypto quant says that the unchained data and we 123 00:07:00,839 --> 00:07:03,280 Speaker 1: look at the flows of of of the coins going 124 00:07:03,320 --> 00:07:05,240 Speaker 1: in and out of Binance, it doesn't show any weird 125 00:07:05,320 --> 00:07:09,760 Speaker 1: behavior like f t X. It says that Binance differs 126 00:07:09,760 --> 00:07:12,480 Speaker 1: from the f t X Alameda and how clean the 127 00:07:12,560 --> 00:07:14,960 Speaker 1: reserves are, or to put another way, how they're not 128 00:07:15,040 --> 00:07:19,600 Speaker 1: reliant on the exchanges proprietary token BMB so BMB token 129 00:07:19,680 --> 00:07:21,559 Speaker 1: is sort of like f t X had their own 130 00:07:21,560 --> 00:07:27,440 Speaker 1: f t T token, but ft T backed everything was created, 131 00:07:27,480 --> 00:07:29,880 Speaker 1: all liquidity everything they had. Whereas what they're saying cryptic 132 00:07:29,920 --> 00:07:33,480 Speaker 1: quand says that B and B token is not for binance. 133 00:07:33,520 --> 00:07:36,000 Speaker 1: Cryptic quant says that a eight or eighty nine percent 134 00:07:36,040 --> 00:07:37,840 Speaker 1: of his reserves are clean, eight n percent of his 135 00:07:37,880 --> 00:07:41,080 Speaker 1: reserves are clean compared to fifty six percent few WABI 136 00:07:41,520 --> 00:07:47,280 Speaker 1: sixty six for bitfn X, for Cooke cooincent for crypto 137 00:07:47,360 --> 00:07:53,800 Speaker 1: com and okay x so um it's looking clean. It's 138 00:07:53,800 --> 00:07:57,320 Speaker 1: starting to calm down the market, and we can see 139 00:07:57,360 --> 00:08:00,400 Speaker 1: that bitcoins implied volatility for the amount that it goes 140 00:08:00,480 --> 00:08:04,920 Speaker 1: up and down is its lowest level since October when 141 00:08:04,920 --> 00:08:09,280 Speaker 1: it was just coming back from that horrible jush. And 142 00:08:09,320 --> 00:08:12,240 Speaker 1: so even though there's still fears of more contagion happening 143 00:08:12,440 --> 00:08:15,400 Speaker 1: like I said, and the macroeconomic pictures the market going 144 00:08:15,480 --> 00:08:18,720 Speaker 1: to crash, we can see that bitcoins annualized seven day 145 00:08:18,760 --> 00:08:22,240 Speaker 1: implied volatility. When we look at the options market, we 146 00:08:22,240 --> 00:08:25,560 Speaker 1: can see at the lowest level it's been in two years, 147 00:08:26,000 --> 00:08:31,080 Speaker 1: down to thirty eight point two percent. Volatility expectations will 148 00:08:31,120 --> 00:08:35,600 Speaker 1: continue to drop lower volatility is one of my favorite trades. 149 00:08:37,360 --> 00:08:40,280 Speaker 1: Um says this reporter feeling for coin desk. And so, 150 00:08:40,800 --> 00:08:44,800 Speaker 1: although all of this is bad, it looks like the 151 00:08:44,840 --> 00:08:47,840 Speaker 1: market has stopped or I should say, ran out of 152 00:08:47,920 --> 00:08:51,080 Speaker 1: sellers and no matter how much more bad news, well 153 00:08:51,080 --> 00:08:52,920 Speaker 1: I shouldn't say no matter how much we could still 154 00:08:52,920 --> 00:08:56,240 Speaker 1: see more. But so far it looks like the market 155 00:08:56,280 --> 00:08:59,400 Speaker 1: has absorbed as bad news or out of the sellers 156 00:09:00,080 --> 00:09:03,400 Speaker 1: and things. The volatility is at a two year low. 157 00:09:04,200 --> 00:09:06,640 Speaker 1: Maybe it's time to start building back up. Maybe not. 158 00:09:06,880 --> 00:09:08,960 Speaker 1: Time will tell. If you're just tune in, you're listening 159 00:09:09,000 --> 00:09:12,160 Speaker 1: to the Markma Show, we're talking about the Decentralized Revolution, 160 00:09:12,559 --> 00:09:15,440 Speaker 1: breaking down some of the latest breaking news, some of 161 00:09:15,440 --> 00:09:19,439 Speaker 1: the biggest news headlines happening throughout the space, to show 162 00:09:19,520 --> 00:09:22,080 Speaker 1: you how this world is changing and more importantly, how 163 00:09:22,160 --> 00:09:24,600 Speaker 1: you should be navigating this as we look at through 164 00:09:24,600 --> 00:09:26,719 Speaker 1: the lens of politics, finance, and technology. I'll be back 165 00:09:26,760 --> 00:09:28,680 Speaker 1: with more in a minute. Don't go away, I'll be 166 00:09:28,760 --> 00:09:30,960 Speaker 1: right back, all right, Welcome back. If you're just tune in, 167 00:09:31,000 --> 00:09:33,680 Speaker 1: you're listening to the Mark mo Show. We're talking about 168 00:09:34,080 --> 00:09:37,480 Speaker 1: the decentralized revolution, the way the world is changing as 169 00:09:37,559 --> 00:09:39,920 Speaker 1: we go from a unipolar world to a multipolar world. 170 00:09:39,960 --> 00:09:43,600 Speaker 1: Of course that's been led through bitcoin, the decentralized technology, 171 00:09:43,880 --> 00:09:48,640 Speaker 1: but it's changing the way that politics, finance, and technology works, 172 00:09:48,720 --> 00:09:51,680 Speaker 1: is changing the way that we organize ourselves. We talked 173 00:09:51,720 --> 00:09:55,040 Speaker 1: about the bitcoin, what's happening with bitcoin right before the break, 174 00:09:55,080 --> 00:09:58,560 Speaker 1: and now talk about maybe the biggest news that's going 175 00:09:58,600 --> 00:10:01,520 Speaker 1: on that you might not have heard about. And what 176 00:10:01,559 --> 00:10:04,200 Speaker 1: am I talking about. I'm talking about what's kind of 177 00:10:04,240 --> 00:10:07,080 Speaker 1: being called right now as the Twitter files. Now the 178 00:10:07,120 --> 00:10:12,280 Speaker 1: Twitter files could be some of the biggest news that 179 00:10:12,320 --> 00:10:16,520 Speaker 1: could literally reshape the face of the world, not just 180 00:10:16,600 --> 00:10:21,960 Speaker 1: the United States, but the world, and that nobody's talking about. 181 00:10:22,600 --> 00:10:27,440 Speaker 1: It's interesting. Now, Um, if you're listening to this show, 182 00:10:27,480 --> 00:10:29,480 Speaker 1: then I know you're a free thinker, so you've probably 183 00:10:29,480 --> 00:10:31,559 Speaker 1: seen it. I'm kind of preaching to the choir here, 184 00:10:31,600 --> 00:10:33,480 Speaker 1: but you know, there was those memes after the Ukraine 185 00:10:33,480 --> 00:10:36,319 Speaker 1: War that was like, I just think only the current thing, 186 00:10:37,480 --> 00:10:40,760 Speaker 1: and that's true. You think that your thoughts are your own, 187 00:10:40,800 --> 00:10:43,200 Speaker 1: but they're not right time and time and again we 188 00:10:43,280 --> 00:10:45,920 Speaker 1: found that to be true. And so whatever you see 189 00:10:45,960 --> 00:10:48,920 Speaker 1: on social media, on mainstream media, whatever gets you going 190 00:10:50,160 --> 00:10:55,120 Speaker 1: becomes the current thing. And that current thing that you're 191 00:10:55,160 --> 00:11:01,040 Speaker 1: being shown is typically manufactured to get to to elicit 192 00:11:01,080 --> 00:11:06,920 Speaker 1: a certain set of feelings and actions, and so it's 193 00:11:06,960 --> 00:11:10,480 Speaker 1: it's never more apparent than right here in the Twitter files. One. 194 00:11:10,720 --> 00:11:14,880 Speaker 1: The Twitter files shows us exactly how they use social 195 00:11:14,880 --> 00:11:19,920 Speaker 1: media and mainstream media too condition you for the current thing, um, 196 00:11:20,120 --> 00:11:22,559 Speaker 1: and it shows at the same time how the current 197 00:11:22,600 --> 00:11:26,040 Speaker 1: thing is being used. So you don't see how the 198 00:11:26,080 --> 00:11:29,640 Speaker 1: Twitter files are being used that way, So the Twitter 199 00:11:29,640 --> 00:11:32,040 Speaker 1: files exposes how it was being used that way. And 200 00:11:32,080 --> 00:11:33,760 Speaker 1: we can also see in real time how no one's 201 00:11:33,800 --> 00:11:36,280 Speaker 1: talking about the Twitter files because they don't want you 202 00:11:36,280 --> 00:11:38,319 Speaker 1: to know what the Twitter files anyway, So we can 203 00:11:38,320 --> 00:11:40,720 Speaker 1: see here Twitter files. Of course Fox News has been 204 00:11:40,760 --> 00:11:44,480 Speaker 1: talking about it. It's been all over Twitter. Now, just 205 00:11:44,520 --> 00:11:47,160 Speaker 1: a quick story about myself and Twitter. I didn't use 206 00:11:47,200 --> 00:11:51,600 Speaker 1: Twitter forever um January Now, I was on a Whah 207 00:11:51,640 --> 00:11:54,040 Speaker 1: who told the story before? I was on Oahu? And 208 00:11:54,040 --> 00:11:55,600 Speaker 1: I wake up seven in the morning, I get alert 209 00:11:55,600 --> 00:11:58,839 Speaker 1: on my phone and it says inbound missile alert, extreme danger. 210 00:11:58,920 --> 00:12:01,440 Speaker 1: This is not a test, um. And that was the 211 00:12:01,480 --> 00:12:03,760 Speaker 1: time when we were in this little war with North Korea, 212 00:12:04,040 --> 00:12:07,240 Speaker 1: and North Korea was like testing missiles over there, and 213 00:12:07,280 --> 00:12:08,959 Speaker 1: it was like, hey, there's an inbound missile er You're 214 00:12:08,960 --> 00:12:11,560 Speaker 1: gonna die, basically, and it was like it's not it's 215 00:12:11,600 --> 00:12:14,800 Speaker 1: not test, this is like imminent danger, it said, And Uh, 216 00:12:14,840 --> 00:12:16,840 Speaker 1: I went online. I turned on the TVs. There was 217 00:12:17,000 --> 00:12:19,920 Speaker 1: no news anywhere, like I'm I'm gonna die. There's like 218 00:12:19,920 --> 00:12:22,600 Speaker 1: a missile coming, Like what's going on? And there was nothing, 219 00:12:22,720 --> 00:12:24,720 Speaker 1: just like I couldn't fin anything about it. And my 220 00:12:24,760 --> 00:12:26,720 Speaker 1: business part of the time. He was on Twitter. He's like, well, 221 00:12:26,760 --> 00:12:27,960 Speaker 1: let me see what I can find on Twitter, and 222 00:12:27,960 --> 00:12:31,080 Speaker 1: he found all his information and so anyway, I've been 223 00:12:31,120 --> 00:12:33,880 Speaker 1: on Twitter ever since, and uh, it's it's it's just 224 00:12:33,920 --> 00:12:38,520 Speaker 1: the best way to get information, you know. Uh, mainstream 225 00:12:38,559 --> 00:12:41,400 Speaker 1: media whatever you wanna call that. Today, UM could tell 226 00:12:41,440 --> 00:12:43,160 Speaker 1: you they can gas light you, which they do all 227 00:12:43,160 --> 00:12:44,880 Speaker 1: the time, which I'm gonna talk about the lie to you, 228 00:12:45,200 --> 00:12:47,400 Speaker 1: and they'll say, hey, you know, uh this this this 229 00:12:47,440 --> 00:12:50,520 Speaker 1: protest is happening is over here in this country, um, 230 00:12:50,559 --> 00:12:53,000 Speaker 1: And someone from that country would just tweet and say, well, 231 00:12:53,040 --> 00:12:55,000 Speaker 1: I'm here right now in the square and there's no 232 00:12:55,040 --> 00:12:58,400 Speaker 1: protest here or vice versa. Right, I mean, whatever they 233 00:12:58,400 --> 00:13:01,000 Speaker 1: want to tell you is happening can instantly be proven 234 00:13:01,120 --> 00:13:06,920 Speaker 1: or disproven instantly. Grounds are boots on the ground journalism. 235 00:13:06,960 --> 00:13:09,440 Speaker 1: And uh, now you do have to be careful because 236 00:13:09,480 --> 00:13:12,160 Speaker 1: you know you could be watching fake information, So again 237 00:13:12,520 --> 00:13:16,559 Speaker 1: you have to practice critical thinking. But um, on Twitter, 238 00:13:17,240 --> 00:13:20,160 Speaker 1: where really this journalism is happening these days? You can 239 00:13:20,200 --> 00:13:22,200 Speaker 1: see the Twitter files all over the place. Fox News 240 00:13:22,240 --> 00:13:27,040 Speaker 1: talked about it, but CNN, ABC, NBC, CBS blackout. As 241 00:13:27,040 --> 00:13:29,880 Speaker 1: a matter of fact, CBS News, ABC News, NBC News 242 00:13:29,920 --> 00:13:34,040 Speaker 1: did not cover the story at all, and CNN only 243 00:13:34,120 --> 00:13:37,960 Speaker 1: mentioned it one time. So since last Friday, networks have 244 00:13:37,960 --> 00:13:40,280 Speaker 1: only discussed the Twitter files for a combined total of 245 00:13:40,320 --> 00:13:44,319 Speaker 1: fourteen minutes. Term Twitter files has only been used six 246 00:13:44,360 --> 00:13:48,160 Speaker 1: times on air over the same span of time. Now, this, 247 00:13:49,240 --> 00:13:51,920 Speaker 1: I'm not gonna say it's the biggest story right now 248 00:13:52,120 --> 00:13:54,800 Speaker 1: or of the year, but it's certainly in the running. 249 00:13:55,960 --> 00:13:58,360 Speaker 1: It's certainly in the running. It's certainly one that most 250 00:13:58,400 --> 00:14:01,960 Speaker 1: people should know about, and yet they don't even bring 251 00:14:02,000 --> 00:14:04,160 Speaker 1: it to you. See, it didn't cover the story for 252 00:14:04,280 --> 00:14:09,040 Speaker 1: three minutes only on December nine. Um M M MSNBC 253 00:14:09,240 --> 00:14:11,880 Speaker 1: spent two minutes on the story the same day, as 254 00:14:11,880 --> 00:14:14,040 Speaker 1: well as as well as five minutes on December eleven 255 00:14:14,120 --> 00:14:17,120 Speaker 1: and four minutes on December twelve. The Monday evening newcasts 256 00:14:17,120 --> 00:14:21,680 Speaker 1: were filled with discussions about Twitter, including criticisms of Musks 257 00:14:21,720 --> 00:14:24,720 Speaker 1: and the re release of Twitter Blue. However, the Twitter 258 00:14:24,800 --> 00:14:29,560 Speaker 1: files never came up on the networks. So no shortage 259 00:14:29,560 --> 00:14:33,000 Speaker 1: of talking about Twitter. Uh, no shortage of criticizing Musk 260 00:14:33,080 --> 00:14:36,840 Speaker 1: about how how how dangerous he is and how bad 261 00:14:36,880 --> 00:14:40,240 Speaker 1: he is for firing workers, how dare he fireworkers? And 262 00:14:40,560 --> 00:14:43,080 Speaker 1: you know how he messed things up with Twitter Blue 263 00:14:43,160 --> 00:14:45,600 Speaker 1: and this whole verification fiasco and what a day, what 264 00:14:46,040 --> 00:14:47,840 Speaker 1: a disaster all that is, And there's no shortage of 265 00:14:47,840 --> 00:14:53,280 Speaker 1: that content, but never one time talking about the Twitter files. 266 00:14:54,760 --> 00:14:58,240 Speaker 1: Um left left wing m M S NBC host medi 267 00:14:58,320 --> 00:15:01,080 Speaker 1: Hasan was the one pun and who offered a full 268 00:15:01,360 --> 00:15:04,320 Speaker 1: on air block to the story Sunday in which you 269 00:15:04,440 --> 00:15:07,480 Speaker 1: argue that the Twitter file showed no evidence of a 270 00:15:07,560 --> 00:15:12,240 Speaker 1: company bias against conservatives, no evidence of a company bias 271 00:15:12,240 --> 00:15:16,640 Speaker 1: against conservatives. Okay, so the good thing is is that 272 00:15:16,960 --> 00:15:20,720 Speaker 1: they released it all for you to go read. See, 273 00:15:20,920 --> 00:15:23,600 Speaker 1: you're an adult. Most likely, I'm guessing you're an adult. 274 00:15:23,640 --> 00:15:28,720 Speaker 1: Listen to this. You're an adult. You're smart, You're smarter 275 00:15:28,840 --> 00:15:32,120 Speaker 1: than they want you to be. You're smarter than they 276 00:15:32,120 --> 00:15:35,720 Speaker 1: tell you are. You can actually read information and judge 277 00:15:35,760 --> 00:15:39,800 Speaker 1: for yourself. So when you can read this person this name, 278 00:15:40,280 --> 00:15:45,720 Speaker 1: this government employee told this person at Twitter to censor 279 00:15:45,920 --> 00:15:49,520 Speaker 1: this person this Twitter account because of this reason for 280 00:15:49,600 --> 00:15:54,920 Speaker 1: no cause, you can determine for yourself if that had 281 00:15:54,960 --> 00:15:59,160 Speaker 1: any company bias. You can determine that the information is out. See. 282 00:15:59,240 --> 00:16:01,600 Speaker 1: That's how that's how it's supposed to be done through 283 00:16:01,680 --> 00:16:05,400 Speaker 1: open through transparency, and that's what Elon Musk has done, 284 00:16:05,400 --> 00:16:07,360 Speaker 1: which is why they hate him so much. You can 285 00:16:07,400 --> 00:16:09,240 Speaker 1: go read this, which I've gone and read a whole 286 00:16:09,280 --> 00:16:12,440 Speaker 1: bunch of it, but of course they don't want you 287 00:16:12,480 --> 00:16:15,000 Speaker 1: to read that. They'd rather just censor it. Now, what 288 00:16:15,280 --> 00:16:23,040 Speaker 1: happens through censorship is then speculation happens. You see, speculation happens. 289 00:16:23,080 --> 00:16:25,320 Speaker 1: So they're gonna say, oh, no, there's nothing to see here, 290 00:16:25,800 --> 00:16:28,560 Speaker 1: there's no bias at all, and then you're gonna start 291 00:16:28,560 --> 00:16:32,840 Speaker 1: to wonder about it. But you solve that through transparency, 292 00:16:32,880 --> 00:16:34,560 Speaker 1: which is of course what Elon Musk has done by 293 00:16:34,600 --> 00:16:39,160 Speaker 1: putting it up there. Now we can see that it's 294 00:16:39,240 --> 00:16:41,560 Speaker 1: kicked up when a can of worms for people paying 295 00:16:41,560 --> 00:16:45,000 Speaker 1: attention and some people who care, like x Twitter CEO 296 00:16:45,120 --> 00:16:48,720 Speaker 1: Jack Dorsey. He insists that there was no ill intent 297 00:16:49,000 --> 00:16:52,560 Speaker 1: or hidden agendas amid the fallout from Twitter. So we 298 00:16:52,600 --> 00:16:55,880 Speaker 1: can see that. Jack Dorsey he went and testified to 299 00:16:55,960 --> 00:17:02,800 Speaker 1: Congress in claiming that Twitter did not shadow balance band conservatives. 300 00:17:03,360 --> 00:17:06,240 Speaker 1: He said, they didn't and guess what he was telling 301 00:17:06,280 --> 00:17:11,359 Speaker 1: the truth, They didn't shadow ban, but that's because they 302 00:17:11,359 --> 00:17:15,199 Speaker 1: played a game of semantics. They didn't call it shadow banning. No, 303 00:17:15,680 --> 00:17:18,560 Speaker 1: Instead they just called it something different. So he said, no, 304 00:17:18,720 --> 00:17:21,240 Speaker 1: we didn't, we didn't shadow ban. What we did though, 305 00:17:21,240 --> 00:17:24,960 Speaker 1: it was virtual hiding. That's what we did or whatever 306 00:17:25,000 --> 00:17:27,880 Speaker 1: they called it. I forgetting off top of my head. Um. 307 00:17:27,920 --> 00:17:30,200 Speaker 1: So now he's saying, but now the evidence is out. 308 00:17:30,480 --> 00:17:33,480 Speaker 1: Now we can see Jack Dorsey had the information. Now 309 00:17:33,520 --> 00:17:35,880 Speaker 1: we can see exactly who the people that were there, 310 00:17:35,960 --> 00:17:38,240 Speaker 1: what they were doing, how were they were ranking raining 311 00:17:38,520 --> 00:17:42,119 Speaker 1: these accounts, and who they were doing it too. So 312 00:17:42,200 --> 00:17:43,680 Speaker 1: I want to cover some of that more. But then 313 00:17:43,760 --> 00:17:45,560 Speaker 1: I want to talk about how this is an even 314 00:17:45,600 --> 00:17:48,480 Speaker 1: bigger story because now, well we don't want to talk 315 00:17:48,480 --> 00:17:50,520 Speaker 1: about what's happening with the Twitter files. We do want 316 00:17:50,520 --> 00:17:53,840 Speaker 1: to talk about maybe we should shut down Twitter. That's 317 00:17:53,880 --> 00:17:56,080 Speaker 1: what the FDC wants. We're back with that mornament. You 318 00:17:56,080 --> 00:17:59,560 Speaker 1: listen to the markmas Show. I'm talking about the decentralized revolution. 319 00:18:00,080 --> 00:18:02,000 Speaker 1: Be back with that morning minute. Don't go away, We're back, 320 00:18:02,560 --> 00:18:04,160 Speaker 1: all right, Welcome back. If you just tune in, you're 321 00:18:04,160 --> 00:18:07,199 Speaker 1: listening to the Mark Moss Show. And we're talking about 322 00:18:08,480 --> 00:18:10,679 Speaker 1: as we always talk about the way the world is changing, 323 00:18:10,680 --> 00:18:12,640 Speaker 1: and I think this is one of the biggest stories. 324 00:18:12,680 --> 00:18:15,639 Speaker 1: We're talking about what's happening with Twitter. Um, yeah, just 325 00:18:15,680 --> 00:18:18,560 Speaker 1: with Twitter period um, but specifically we're talking about the 326 00:18:18,640 --> 00:18:21,840 Speaker 1: Twitter files and Elon Musk. If you don't know, because 327 00:18:21,840 --> 00:18:25,720 Speaker 1: it's been a complete blackout, um, every mainstream media outlet 328 00:18:26,000 --> 00:18:29,880 Speaker 1: has been silent on this. CNN, ABC, NBC, CBS all 329 00:18:29,920 --> 00:18:33,240 Speaker 1: blacked out. Fox News covered a little bit, but basically 330 00:18:33,400 --> 00:18:37,760 Speaker 1: Elon Musk went back and pulled out all the data 331 00:18:37,800 --> 00:18:41,800 Speaker 1: files that Twitter had that showed who at what government 332 00:18:41,840 --> 00:18:46,680 Speaker 1: agency was telling who at Twitter to censor, who got 333 00:18:46,680 --> 00:18:48,680 Speaker 1: it all and then just released it all. Hey, look, 334 00:18:48,840 --> 00:18:52,280 Speaker 1: here's all the communication from the government telling Twitter, a 335 00:18:52,280 --> 00:18:58,440 Speaker 1: private company, to censor who private citizens. Yeah, it's illegal, 336 00:18:58,520 --> 00:19:01,760 Speaker 1: shouldn't be done. Um, and we're just gonna release all 337 00:19:01,800 --> 00:19:05,800 Speaker 1: the documentation, every email, every note. You can read, every 338 00:19:05,800 --> 00:19:09,360 Speaker 1: single word, full transparency. Said. He said, there's no way 339 00:19:09,400 --> 00:19:12,040 Speaker 1: for us to heal and move forward unless we do this, 340 00:19:13,640 --> 00:19:18,600 Speaker 1: and so he did. It's pretty amazing. Now, of course, Uh, 341 00:19:18,720 --> 00:19:23,880 Speaker 1: the government doesn't like this at all, and so it's 342 00:19:23,960 --> 00:19:27,520 Speaker 1: bad news for for for for Musk, it's bad news 343 00:19:27,520 --> 00:19:30,840 Speaker 1: for well, it's even more bad news because he was 344 00:19:30,880 --> 00:19:32,960 Speaker 1: the richest man in the world and he's not anymore. 345 00:19:33,000 --> 00:19:34,840 Speaker 1: And now now he's not the richest man in the world. 346 00:19:35,119 --> 00:19:38,040 Speaker 1: But it's even bigger than that because now they want 347 00:19:38,040 --> 00:19:41,639 Speaker 1: to come after him now. Regulators fire warning shots at 348 00:19:41,760 --> 00:19:46,199 Speaker 1: Musk's Twitter and tech companies. Samuel Levine, director of the 349 00:19:46,200 --> 00:19:49,840 Speaker 1: Consumer Protection Bureau at the Federal Trade Commission the FTC, 350 00:19:50,560 --> 00:19:53,640 Speaker 1: warnant companies such as Twitter that the government would not 351 00:19:53,800 --> 00:19:57,520 Speaker 1: hesitate to go to court over violations of agreements with 352 00:19:57,600 --> 00:20:02,240 Speaker 1: the FTC. Oh, so let's see here. So when Trump 353 00:20:02,320 --> 00:20:06,280 Speaker 1: was saying that, um, you know, people were getting uh, 354 00:20:06,359 --> 00:20:08,480 Speaker 1: if you remember Trump kind of went to war against 355 00:20:08,520 --> 00:20:11,840 Speaker 1: social media platforms. If you remember the time he was 356 00:20:12,000 --> 00:20:18,000 Speaker 1: threatening to take away, um their section to thirty. So 357 00:20:18,160 --> 00:20:20,240 Speaker 1: let me give you a little quick history lesson here. 358 00:20:20,720 --> 00:20:24,399 Speaker 1: So in the early days of the Internet and the 359 00:20:24,440 --> 00:20:29,120 Speaker 1: interwebs in the nineties, um, we started getting these things 360 00:20:29,160 --> 00:20:34,160 Speaker 1: called websites, and these websites would then start getting people 361 00:20:34,240 --> 00:20:37,120 Speaker 1: to post articles on them. You might remember those early days, 362 00:20:37,160 --> 00:20:41,840 Speaker 1: those infancy days, and um, what was happening is there 363 00:20:41,880 --> 00:20:45,240 Speaker 1: was a lot of there's a lot of figuring out 364 00:20:45,280 --> 00:20:48,680 Speaker 1: to do we'll call it over i P intellectual property. 365 00:20:48,960 --> 00:20:52,400 Speaker 1: And so if you remember the time, movie companies and 366 00:20:53,119 --> 00:20:57,320 Speaker 1: music companies and everyone was suing everybody, Wait, that's my content. 367 00:20:57,400 --> 00:20:58,760 Speaker 1: You can't use that there, you can't use that, you 368 00:20:58,760 --> 00:21:01,840 Speaker 1: didn't get permission, blah blah bla. All these lawsuits happening, 369 00:21:02,160 --> 00:21:04,800 Speaker 1: and so all these this this fledgling new industry that 370 00:21:04,880 --> 00:21:07,320 Speaker 1: was just barely getting up and going, this internet thing. 371 00:21:07,520 --> 00:21:09,680 Speaker 1: So someone build a little website. People would post stuff 372 00:21:09,680 --> 00:21:12,240 Speaker 1: on the website and then they get sued. And of course, 373 00:21:12,280 --> 00:21:13,920 Speaker 1: you know, this little guy with this little website, you 374 00:21:13,960 --> 00:21:16,600 Speaker 1: couldn't stand up against this, you know, movie company or 375 00:21:16,720 --> 00:21:21,000 Speaker 1: music company whatever. And so the government did something which 376 00:21:21,040 --> 00:21:25,840 Speaker 1: is pretty rare today. Back then, they actually wanted the 377 00:21:25,880 --> 00:21:29,240 Speaker 1: little guy to succeed. They actually wanted new technology to 378 00:21:29,280 --> 00:21:31,480 Speaker 1: have a chance to grow and flourish. And so they 379 00:21:31,520 --> 00:21:34,640 Speaker 1: passed a rule called section two thirty, and they said 380 00:21:34,680 --> 00:21:39,200 Speaker 1: that if this, um, if this website was a platform, 381 00:21:39,280 --> 00:21:42,160 Speaker 1: all right, and that meaning that was all it was, 382 00:21:42,160 --> 00:21:45,080 Speaker 1: was a place for people to go post content, then 383 00:21:45,119 --> 00:21:49,760 Speaker 1: they couldn't be held liable for what was on that platform. 384 00:21:49,800 --> 00:21:52,840 Speaker 1: So meaning that if somebody posted something on that platform, 385 00:21:52,920 --> 00:21:54,679 Speaker 1: like a like a video with a song in it, 386 00:21:54,760 --> 00:21:57,000 Speaker 1: and that song had um, you know, some I P 387 00:21:57,119 --> 00:22:00,199 Speaker 1: around it, they couldn't get sued for that. And if 388 00:22:00,480 --> 00:22:03,960 Speaker 1: if it wasn't for that act of the of Congress 389 00:22:04,240 --> 00:22:06,840 Speaker 1: and passing that law, the Internet may have never grown 390 00:22:06,920 --> 00:22:09,919 Speaker 1: to where it is today. All right, But that's what 391 00:22:10,000 --> 00:22:12,560 Speaker 1: section two thirty is. Now what happens is that's only 392 00:22:12,640 --> 00:22:15,760 Speaker 1: if they're neutral. If they don't control it once they 393 00:22:15,800 --> 00:22:18,919 Speaker 1: start to curate it, once they start to create the 394 00:22:18,920 --> 00:22:21,600 Speaker 1: content and manage the content. Now they're not exempt under 395 00:22:21,640 --> 00:22:24,160 Speaker 1: that anymore. Now they have to be responsible for it. 396 00:22:24,560 --> 00:22:26,600 Speaker 1: And so what Trump kept warning over and over is 397 00:22:26,640 --> 00:22:28,440 Speaker 1: like Hey, we're gonna repeal that. We're gonna repeal that, 398 00:22:28,480 --> 00:22:31,920 Speaker 1: which would then mean Twitter and uh, Instagram and Facebook 399 00:22:31,920 --> 00:22:38,520 Speaker 1: and YouTube, etcetera would then be liable for everything. Okay, um, 400 00:22:38,560 --> 00:22:41,159 Speaker 1: but again that's only if they allowed to happen. But 401 00:22:41,200 --> 00:22:43,439 Speaker 1: what we've seen now through the through the Twitter files 402 00:22:43,640 --> 00:22:47,040 Speaker 1: is that that's not the case at all. They're one 403 00:22:48,560 --> 00:22:51,800 Speaker 1: monitoring it, I mean not just monitrating, but but manipulating it, 404 00:22:51,960 --> 00:22:55,200 Speaker 1: managing etcetera. Which means that it does go against Section 405 00:22:55,240 --> 00:22:57,280 Speaker 1: to thirty. Now I'm not an attorney, that's just the 406 00:22:57,320 --> 00:23:00,959 Speaker 1: way I interpret it. But here we have UM. Now, 407 00:23:01,640 --> 00:23:06,800 Speaker 1: because Musk has taken over Twitter and wants to allow 408 00:23:07,119 --> 00:23:10,639 Speaker 1: transparency to rebuild trust, which is the only way you 409 00:23:10,640 --> 00:23:14,520 Speaker 1: get trust is having transparency. Um. They don't like that. 410 00:23:15,359 --> 00:23:17,800 Speaker 1: And now the regulators are firing warning shots at them, 411 00:23:17,800 --> 00:23:21,800 Speaker 1: and the Samuel Levine of the FTC says that now 412 00:23:22,280 --> 00:23:26,280 Speaker 1: if they don't comply, um, then they're going to shut 413 00:23:26,320 --> 00:23:30,000 Speaker 1: them down. Now, what are these violations of agreements with 414 00:23:30,040 --> 00:23:34,320 Speaker 1: the FTC? What are those? Twitter's privacy policies must comply 415 00:23:34,720 --> 00:23:39,199 Speaker 1: with a consent decree issued by the FTC mandating that 416 00:23:39,320 --> 00:23:41,680 Speaker 1: users being made aware of all the ways in which 417 00:23:41,720 --> 00:23:44,840 Speaker 1: their data is used by the company, according to Axios, 418 00:23:46,280 --> 00:23:48,160 Speaker 1: So now this is now they're getting to some privacy 419 00:23:48,200 --> 00:23:53,520 Speaker 1: policies and uh Elon must says that hey, the company, 420 00:23:53,720 --> 00:23:57,639 Speaker 1: the company should collaborate with advertised because they want to 421 00:23:57,680 --> 00:24:01,800 Speaker 1: have the best user experience that you and have. This 422 00:24:01,880 --> 00:24:05,000 Speaker 1: is you know, these are these are These are very 423 00:24:05,119 --> 00:24:11,640 Speaker 1: messy situations where it's like, look, I personally would maybe 424 00:24:11,800 --> 00:24:15,800 Speaker 1: rather pay a monthly fee to be on Twitter, um, 425 00:24:15,840 --> 00:24:18,840 Speaker 1: then have to look at ads. You might rather look 426 00:24:18,880 --> 00:24:20,159 Speaker 1: at it a couple of ads on your feet and 427 00:24:20,240 --> 00:24:23,480 Speaker 1: have to pay at all. Um, A lot of times 428 00:24:23,480 --> 00:24:27,760 Speaker 1: I might rather just look at ads, right, But I 429 00:24:27,800 --> 00:24:31,199 Speaker 1: would rather look at ads that were kind of curated 430 00:24:31,280 --> 00:24:34,560 Speaker 1: for me versus ads that were curated for my seventy 431 00:24:34,560 --> 00:24:39,320 Speaker 1: eight year old grandmother for example. Right. And as an advertiser, 432 00:24:39,400 --> 00:24:41,560 Speaker 1: I would also rather have my ads show up for 433 00:24:41,720 --> 00:24:44,359 Speaker 1: my demographic And so of course there's gonna be some 434 00:24:44,440 --> 00:24:51,119 Speaker 1: targeting there now, Um, that seems to be a problem. 435 00:24:51,160 --> 00:24:54,680 Speaker 1: Now Levine is trying to pick a piece of that 436 00:24:54,800 --> 00:24:57,080 Speaker 1: to see, is trying to pick a piece that they 437 00:24:57,240 --> 00:25:03,040 Speaker 1: know that probably Twitter it's gonna have a hard time 438 00:25:03,040 --> 00:25:06,520 Speaker 1: winning with or or or complying with. You see how 439 00:25:06,520 --> 00:25:09,639 Speaker 1: they do this, and it's not just them. This goes 440 00:25:09,760 --> 00:25:14,399 Speaker 1: even deeper. We can see it actually goes into not 441 00:25:14,560 --> 00:25:19,000 Speaker 1: just the FTC. Where is this another article here? I'll 442 00:25:19,000 --> 00:25:21,480 Speaker 1: come back to that in a minute, But think about 443 00:25:21,480 --> 00:25:23,800 Speaker 1: this for a minute. I came across this article this 444 00:25:23,840 --> 00:25:27,800 Speaker 1: week called the United States of Fascist America. You remember 445 00:25:27,920 --> 00:25:31,280 Speaker 1: they were calling Donald Trump a fascist? But what is 446 00:25:31,320 --> 00:25:35,760 Speaker 1: a fascist? Is a fascist? Far right? What is far right? 447 00:25:36,119 --> 00:25:40,360 Speaker 1: I mean? These labels, labels to me are ridiculous. All right? 448 00:25:41,280 --> 00:25:47,520 Speaker 1: What is fascist? Well? Fascist? According to the fascist Mussolini 449 00:25:48,000 --> 00:25:54,400 Speaker 1: from Italy um or per Wikipedia, let's start there. Per Wikipedia, 450 00:25:54,560 --> 00:25:59,119 Speaker 1: fascism is a far right authoritarian ultra nationalist political ideology 451 00:25:59,160 --> 00:26:04,800 Speaker 1: and movement care actorized by a dictorial leader, a central autocracy, 452 00:26:05,000 --> 00:26:09,600 Speaker 1: militarism forcible suppression of opposition, belief in national social hierarchy 453 00:26:11,119 --> 00:26:14,280 Speaker 1: for the perceived good of the nation and race. Okay, 454 00:26:14,680 --> 00:26:17,080 Speaker 1: He says the definition is mostly correct except for the 455 00:26:17,119 --> 00:26:21,639 Speaker 1: first words, claiming fascialism. Fascism is far right. Hitler was 456 00:26:21,680 --> 00:26:25,120 Speaker 1: considered a fascist, but his party, contrary to the political 457 00:26:25,119 --> 00:26:29,320 Speaker 1: science experts disguise as journalists, were far left. The Nazi 458 00:26:29,400 --> 00:26:35,640 Speaker 1: Party is the national nationalist socialist Germans Workers Party, so 459 00:26:35,640 --> 00:26:38,560 Speaker 1: socialist which is supposed to be left. You see how 460 00:26:38,560 --> 00:26:42,240 Speaker 1: stupid this is? So what what? What really is the difference? 461 00:26:42,400 --> 00:26:50,040 Speaker 1: They're both authoritarians now. The most famous fascist Benito Mussolini. 462 00:26:50,280 --> 00:26:55,800 Speaker 1: He clarified, quote Fascism should be rightly be called corporatism, 463 00:26:56,280 --> 00:27:00,159 Speaker 1: as it's the merger of corporate and government power in 464 00:27:00,400 --> 00:27:04,680 Speaker 1: quote that's for mussel leaning. So fascism should be corporatism 465 00:27:04,800 --> 00:27:07,719 Speaker 1: or the merger of corporate and government power, sort of 466 00:27:07,760 --> 00:27:13,200 Speaker 1: like when these government powers teamed up with Twitter staff 467 00:27:13,520 --> 00:27:17,760 Speaker 1: to push their ideology and their policies. Sort of like that. 468 00:27:19,000 --> 00:27:20,600 Speaker 1: If you're just tuning in to listen to the markma Show, 469 00:27:20,600 --> 00:27:22,800 Speaker 1: we're talking about what's happening with Twitter and now it's 470 00:27:22,840 --> 00:27:24,119 Speaker 1: changing the world as we know it. I'll be back 471 00:27:24,160 --> 00:27:25,919 Speaker 1: with more in a minute. Don't go away, all right, 472 00:27:25,960 --> 00:27:27,639 Speaker 1: Welcome back. If you just tune in, you were listening 473 00:27:27,680 --> 00:27:29,399 Speaker 1: to the Mark Moa show where we talk about the 474 00:27:29,440 --> 00:27:31,960 Speaker 1: decentralized revolution, of course, talking about the way the world 475 00:27:32,040 --> 00:27:36,359 Speaker 1: is changing, and it is changing fast. One of the 476 00:27:36,400 --> 00:27:39,000 Speaker 1: things that's happening that's really changing it fast is of 477 00:27:39,040 --> 00:27:41,200 Speaker 1: course the way we communicate, and so we're talking about, 478 00:27:41,600 --> 00:27:45,959 Speaker 1: um maybe the biggest communication platform, Twitter, and it's been 479 00:27:46,000 --> 00:27:50,399 Speaker 1: a NonStop piece of conversation because of course, uh, you know, 480 00:27:51,400 --> 00:27:54,160 Speaker 1: craziest centric, richest man in the world, Elon Musk wanted 481 00:27:54,160 --> 00:27:56,360 Speaker 1: to buy it and set it free. He said, right, 482 00:27:56,400 --> 00:27:59,840 Speaker 1: we wanted to allow free speech to happen. And that 483 00:28:00,160 --> 00:28:03,720 Speaker 1: created some quite of a some some quite a controversy here. 484 00:28:04,440 --> 00:28:06,480 Speaker 1: Never would have imagined that so many people would be 485 00:28:06,560 --> 00:28:10,760 Speaker 1: mad about people having free speech. It's very weird. I 486 00:28:10,800 --> 00:28:13,120 Speaker 1: still don't get it. But you know, back to kind 487 00:28:13,119 --> 00:28:16,560 Speaker 1: of what's going on here, we're talking about the biggest story. 488 00:28:18,200 --> 00:28:19,560 Speaker 1: I don't know. I don't know if it's the biggest 489 00:28:19,560 --> 00:28:21,800 Speaker 1: story of the year, over the decade. It's it's a 490 00:28:21,840 --> 00:28:25,159 Speaker 1: big story. Maybe it's not that big because most of 491 00:28:25,240 --> 00:28:27,080 Speaker 1: us already kind of knew it was happening. But now 492 00:28:27,119 --> 00:28:28,879 Speaker 1: we have the smoking gun, and that smoking gun is 493 00:28:28,920 --> 00:28:31,760 Speaker 1: the Twitter files, where basically Elon Musk has got basically 494 00:28:31,800 --> 00:28:34,679 Speaker 1: gone back in and pulled all the files like the 495 00:28:34,760 --> 00:28:38,280 Speaker 1: email correspondence and all these types of things and released 496 00:28:38,280 --> 00:28:40,880 Speaker 1: them that hey, everyone look at it, gave them to 497 00:28:40,920 --> 00:28:44,920 Speaker 1: a couple of a couple of reporters Matt Taibe and 498 00:28:45,080 --> 00:28:47,600 Speaker 1: a couple others, and said, hey, here, you go through 499 00:28:47,640 --> 00:28:50,239 Speaker 1: them first. Um, and now they're all publisher I want 500 00:28:50,280 --> 00:28:51,320 Speaker 1: to go read and you can go read all these 501 00:28:51,320 --> 00:28:55,000 Speaker 1: files for yourself. Um. You know, it helps to have 502 00:28:55,040 --> 00:28:56,680 Speaker 1: the reporters go through it first and kind of filter 503 00:28:56,800 --> 00:28:59,440 Speaker 1: some of the more important stuff out for you. They 504 00:28:59,520 --> 00:29:01,120 Speaker 1: got weeks and weeks to spend on this, you and 505 00:29:01,160 --> 00:29:05,360 Speaker 1: I mostly don't. However, Um, what has come out has 506 00:29:05,400 --> 00:29:09,800 Speaker 1: been nothing short of shocking, because even myself kind of 507 00:29:09,840 --> 00:29:11,520 Speaker 1: working in this space and kind of knowing about how 508 00:29:11,560 --> 00:29:15,239 Speaker 1: bad this was, it's even worse. It's even worse than 509 00:29:15,280 --> 00:29:17,240 Speaker 1: we thought it was going to be. And um, like 510 00:29:17,320 --> 00:29:19,040 Speaker 1: I was kind of hinting to this, this article that 511 00:29:19,080 --> 00:29:22,640 Speaker 1: I read talking about the United States of Fascist America 512 00:29:23,040 --> 00:29:27,760 Speaker 1: and the most fascist leader, Benito Mussolini. He said that 513 00:29:27,800 --> 00:29:31,920 Speaker 1: fascism should rightly be called corporatism. That's a merger between 514 00:29:31,920 --> 00:29:35,360 Speaker 1: corporate and government power. Now, I recently wrote a book, 515 00:29:35,520 --> 00:29:37,840 Speaker 1: a bestseller book. By the way, if you don't have it, 516 00:29:38,000 --> 00:29:42,480 Speaker 1: I recommend you go get it. It's called The Uncommunist Manifesto. 517 00:29:42,520 --> 00:29:45,360 Speaker 1: Of course, it's a play on the original Communist Manifesto 518 00:29:45,400 --> 00:29:47,960 Speaker 1: by Carl Marks. It's on Amazon. We had a bestseller, 519 00:29:48,640 --> 00:29:50,600 Speaker 1: but man, we could sure you use some more sales. 520 00:29:50,840 --> 00:29:52,640 Speaker 1: I'd love to get that back, that that book out 521 00:29:52,640 --> 00:29:55,080 Speaker 1: to you. We've you know, priced it very cheap. We're 522 00:29:55,080 --> 00:29:56,560 Speaker 1: just trying to get the information out there. Check it 523 00:29:56,560 --> 00:29:59,680 Speaker 1: out on Amazon. But in that book, we basically broke 524 00:29:59,720 --> 00:30:05,240 Speaker 1: down all the different what we call phantom versions of capitalism. UM. 525 00:30:05,240 --> 00:30:07,760 Speaker 1: In the original Commics Manifesto book, Karl Marx wrote all 526 00:30:07,800 --> 00:30:11,000 Speaker 1: the different versions of communism. So we wrote all the 527 00:30:11,000 --> 00:30:14,720 Speaker 1: different versions of what we call capitalism, which are not 528 00:30:14,800 --> 00:30:18,120 Speaker 1: capitalism at all, but they're confused with capitalism, one of 529 00:30:18,160 --> 00:30:21,680 Speaker 1: which we broke down as being corporate um. And basically 530 00:30:21,720 --> 00:30:25,080 Speaker 1: it's a merger of corporate and government power or what 531 00:30:25,280 --> 00:30:27,080 Speaker 1: good old Klaus Schwab from the World like a MC 532 00:30:27,160 --> 00:30:33,280 Speaker 1: forum calls public private partnership. In my best German accent, 533 00:30:33,320 --> 00:30:36,160 Speaker 1: that's not very good, but you know, he talks about 534 00:30:36,160 --> 00:30:38,440 Speaker 1: this public private partnership, and that's exactly what this is. 535 00:30:38,720 --> 00:30:43,120 Speaker 1: Public being the government, private being the corporations coming together 536 00:30:43,720 --> 00:30:46,880 Speaker 1: and working together. And that's exactly what we've seen here. 537 00:30:46,960 --> 00:30:50,480 Speaker 1: That's where America is. We have corporate and government power, 538 00:30:50,600 --> 00:30:55,520 Speaker 1: merging into a totalitarian behemoth crushing any and all discent. 539 00:30:56,920 --> 00:31:00,880 Speaker 1: Worse than just crushing descent, they never even allow it 540 00:31:00,960 --> 00:31:02,720 Speaker 1: to grow, which, of course is their their whole plan 541 00:31:02,840 --> 00:31:07,880 Speaker 1: first place. Right. If they can train you what to 542 00:31:08,080 --> 00:31:11,480 Speaker 1: think from the time of your kid using AI, they 543 00:31:11,480 --> 00:31:14,200 Speaker 1: can manipulate your social media feed, which Facebook is admitted 544 00:31:14,240 --> 00:31:18,200 Speaker 1: to doing. Since by the way, if they can manipulate 545 00:31:18,240 --> 00:31:20,920 Speaker 1: your social media feed, they can induce, you know, feelings 546 00:31:20,960 --> 00:31:24,200 Speaker 1: of anger and peacefulness and and and scare you things 547 00:31:24,240 --> 00:31:27,600 Speaker 1: like that, they can start to change the way you think. Um. 548 00:31:27,680 --> 00:31:30,520 Speaker 1: They can show you enough of one ideology to scare you, 549 00:31:30,560 --> 00:31:32,440 Speaker 1: and then and show you why it's bad, and show 550 00:31:32,480 --> 00:31:35,120 Speaker 1: another ideology of why it's good. They can start to 551 00:31:35,200 --> 00:31:37,880 Speaker 1: change the way you think. That's why I said earlier, Um, 552 00:31:38,800 --> 00:31:41,000 Speaker 1: you think that you're free to think, but you're not. 553 00:31:41,080 --> 00:31:44,240 Speaker 1: Most of the thoughts that you have are not yours. Um. 554 00:31:44,280 --> 00:31:46,440 Speaker 1: There's this test that was done. I don't have all 555 00:31:46,480 --> 00:31:48,560 Speaker 1: the exact details. I'm kind of spitting off the cuff here, 556 00:31:49,120 --> 00:31:52,000 Speaker 1: but it was they did these tests where they went 557 00:31:52,080 --> 00:31:54,880 Speaker 1: up to people and they'd say, here, hold on, we 558 00:31:55,080 --> 00:31:57,160 Speaker 1: hold this cup for me and answer a couple of questions, 559 00:31:57,760 --> 00:32:00,440 Speaker 1: and they'd give someone a hot cup of like tea 560 00:32:00,520 --> 00:32:03,760 Speaker 1: or a coffee and um, then they'd asked them they'd read, uh, 561 00:32:03,960 --> 00:32:06,360 Speaker 1: they'd read a little bit of a of a story, 562 00:32:06,840 --> 00:32:09,280 Speaker 1: and they'd say, this, this person that you've read here, 563 00:32:10,640 --> 00:32:13,520 Speaker 1: the main character in this story. Would you consider them 564 00:32:13,560 --> 00:32:16,560 Speaker 1: to be a warm character or a cold character? And 565 00:32:16,600 --> 00:32:19,320 Speaker 1: the people holding the warm cup of coffee would say 566 00:32:19,360 --> 00:32:21,000 Speaker 1: that they were a warm character. And then they would 567 00:32:21,160 --> 00:32:22,920 Speaker 1: do the exact, same exact thing, but they'd give them 568 00:32:22,960 --> 00:32:25,000 Speaker 1: a cold cup to hold, and they'd ask them the 569 00:32:25,040 --> 00:32:27,520 Speaker 1: same exact question. They'd say and the response would say 570 00:32:27,560 --> 00:32:29,240 Speaker 1: they were a cold person. And so you can see 571 00:32:29,240 --> 00:32:32,840 Speaker 1: how even your own thoughts could be manipulated by other 572 00:32:33,000 --> 00:32:35,800 Speaker 1: subject subject matter that might be around you at that time. 573 00:32:36,160 --> 00:32:39,560 Speaker 1: And so by by manipulating your feeds what you can see, 574 00:32:39,560 --> 00:32:41,760 Speaker 1: what you can't see, the context, and what you see 575 00:32:41,800 --> 00:32:43,560 Speaker 1: it in, they can start to change this. And so 576 00:32:43,840 --> 00:32:46,760 Speaker 1: it's not just about crushing in the and all descent. 577 00:32:47,240 --> 00:32:50,800 Speaker 1: It's about preventing descent from ever happening in the first place. 578 00:32:51,640 --> 00:32:54,360 Speaker 1: It's powerful. And then if they can prevent if I'm 579 00:32:54,400 --> 00:32:56,840 Speaker 1: ever stopping in the first happening, in the first place, 580 00:32:56,880 --> 00:32:59,800 Speaker 1: and then if it does start to break out wherever, 581 00:32:59,800 --> 00:33:03,200 Speaker 1: they can isolate it and then they could crush it. 582 00:33:03,280 --> 00:33:06,840 Speaker 1: Imagine how powerful that would be. I think, for example, 583 00:33:06,920 --> 00:33:09,640 Speaker 1: the recent Twitter file revelations we're talking about here, the 584 00:33:09,680 --> 00:33:12,160 Speaker 1: federal government took control of the big tech and social 585 00:33:12,200 --> 00:33:17,240 Speaker 1: media giants to control free speech and dissent. And it 586 00:33:17,320 --> 00:33:20,480 Speaker 1: wasn't just about you know, the Biden campaign pressuring Twitter 587 00:33:21,160 --> 00:33:24,320 Speaker 1: the FBI, as we know now. Mark Zuckerberg went on 588 00:33:24,400 --> 00:33:27,880 Speaker 1: Joe Rogan and said this, The FBI had weekly meetings 589 00:33:28,160 --> 00:33:31,760 Speaker 1: with social media corporations to warn them of things like 590 00:33:31,880 --> 00:33:35,560 Speaker 1: Russian interference, you know, hack and league operations and all 591 00:33:35,560 --> 00:33:39,240 Speaker 1: these different things which we know now we're never true. 592 00:33:40,880 --> 00:33:42,880 Speaker 1: So then on top of it, not only has the 593 00:33:42,880 --> 00:33:47,960 Speaker 1: federal government been actively influencing social media platforms to show us, 594 00:33:48,360 --> 00:33:51,960 Speaker 1: but they've been doing it based off of lies, off 595 00:33:52,000 --> 00:33:56,280 Speaker 1: of false information. The result, well, the result is we 596 00:33:56,320 --> 00:33:59,400 Speaker 1: get social media suppression. Now we get suppression of the 597 00:33:59,480 --> 00:34:01,800 Speaker 1: Hunter Biden laptop story, which a year ago I would 598 00:34:01,800 --> 00:34:03,840 Speaker 1: have gotten kicked off of the Internet for even saying 599 00:34:03,880 --> 00:34:08,839 Speaker 1: that to you, which is insane. Now we know that 600 00:34:08,880 --> 00:34:12,799 Speaker 1: it would have likely altered the presidential election outcome. Specifically, 601 00:34:12,880 --> 00:34:16,600 Speaker 1: polls that were done said six team per cent of 602 00:34:16,680 --> 00:34:19,480 Speaker 1: voters would have voted differently if the story would not 603 00:34:19,560 --> 00:34:22,319 Speaker 1: have been suppressed by big tech. Now, if people had 604 00:34:22,360 --> 00:34:24,320 Speaker 1: known it, had known about the story and known it 605 00:34:24,400 --> 00:34:27,399 Speaker 1: had been suppressed by big tech, then it probably would 606 00:34:27,400 --> 00:34:30,279 Speaker 1: have been even a bigger swing in voters. And we're 607 00:34:30,280 --> 00:34:33,360 Speaker 1: talking about an election that had about a fifty thousand 608 00:34:33,520 --> 00:34:37,800 Speaker 1: person vote a swing. Do you think that had anything 609 00:34:37,840 --> 00:34:42,480 Speaker 1: to do with the outcome? An interference with an election? Now, 610 00:34:42,600 --> 00:34:45,800 Speaker 1: teams of Twitter employees were building blacklists that we we 611 00:34:46,080 --> 00:34:48,080 Speaker 1: now know through these these files that have come out. 612 00:34:48,239 --> 00:34:53,000 Speaker 1: They're building blacklists that prevent disfavored tweets from trending, actively 613 00:34:53,120 --> 00:34:56,800 Speaker 1: limiting the visibility of entire accounts and even trending topics. 614 00:34:56,800 --> 00:35:01,319 Speaker 1: So like Charlie Kirk, for example, on on Twitter, he's 615 00:35:01,360 --> 00:35:05,879 Speaker 1: a Christian um you know, podcast host that talks about 616 00:35:05,920 --> 00:35:12,120 Speaker 1: political issues, and his account was it was not shadow band, 617 00:35:12,680 --> 00:35:14,600 Speaker 1: it was whatever they called it, it was something else, 618 00:35:14,920 --> 00:35:16,960 Speaker 1: but it was actively put on blacklist. It was actually 619 00:35:17,000 --> 00:35:19,759 Speaker 1: put on list to not allow it to trend, not 620 00:35:19,840 --> 00:35:22,399 Speaker 1: allow it to be found in searches. It just wasn't 621 00:35:22,400 --> 00:35:26,080 Speaker 1: called shadow band visibility visibility filtering, that's what they called 622 00:35:26,120 --> 00:35:31,319 Speaker 1: it VF. I mean the fact that these people can 623 00:35:31,360 --> 00:35:34,000 Speaker 1: go in front of a of a of a congressional 624 00:35:34,800 --> 00:35:39,440 Speaker 1: committee under oath and be asked a direct question, are 625 00:35:39,480 --> 00:35:42,520 Speaker 1: you doing shadow banning? And they say no, And that's 626 00:35:42,560 --> 00:35:44,040 Speaker 1: not a lie because they're not doing shadow ban and 627 00:35:44,040 --> 00:35:46,520 Speaker 1: they're actually doing invisibility filtering. Isn't it the same thing? 628 00:35:47,600 --> 00:35:50,920 Speaker 1: Oh man, that's the world that we're in. We can 629 00:35:50,960 --> 00:35:53,560 Speaker 1: see that Elon must now shows that US political candidates 630 00:35:53,560 --> 00:35:57,359 Speaker 1: were blacklisted while running for office, literally while they're running 631 00:35:57,400 --> 00:36:00,560 Speaker 1: for office, they were they were blacklisted, and the other 632 00:36:00,560 --> 00:36:04,239 Speaker 1: political parties of the other political party den not for 633 00:36:04,360 --> 00:36:07,799 Speaker 1: the not for the Twitter files. So look, this is 634 00:36:07,840 --> 00:36:10,000 Speaker 1: the This is a This is a big deal because 635 00:36:10,640 --> 00:36:15,239 Speaker 1: what happens when we take the largest communication platform and 636 00:36:15,320 --> 00:36:20,719 Speaker 1: we open it back up. What happens, um does it 637 00:36:20,840 --> 00:36:23,680 Speaker 1: start to reshape the world because we have open and 638 00:36:23,719 --> 00:36:27,880 Speaker 1: transparent communication. I think it does. And that's why I 639 00:36:27,880 --> 00:36:30,680 Speaker 1: think this is one of the biggest things happening right 640 00:36:30,719 --> 00:36:33,759 Speaker 1: now in the world in the decentralized revolution, because when 641 00:36:33,760 --> 00:36:38,319 Speaker 1: we break truth open, the world's going to change. You've 642 00:36:38,320 --> 00:36:41,280 Speaker 1: been listened to The Markma Show, talking about the decentralized Revolution, 643 00:36:41,480 --> 00:36:44,120 Speaker 1: looking at through the lens of politics, finance, and technology. 644 00:36:44,520 --> 00:36:45,240 Speaker 1: Thanks for listening.