1 00:00:04,040 --> 00:00:07,480 Speaker 1: It was actually Ian Bremer's Twitter feed where I came 2 00:00:07,520 --> 00:00:10,119 Speaker 1: across the meme of I'd like to cancel my subscription 3 00:00:10,160 --> 00:00:12,960 Speaker 1: to one. I've experienced the free seven day trial and 4 00:00:13,000 --> 00:00:17,200 Speaker 1: I'm not interested. I follow Ian Bremer's Twitter feed on 5 00:00:17,200 --> 00:00:19,279 Speaker 1: a fairly regular basis. We've had him on at the 6 00:00:19,480 --> 00:00:22,520 Speaker 1: in the January of a year for years now. As 7 00:00:22,640 --> 00:00:27,040 Speaker 1: usually he's got his Global Risk List out. I was 8 00:00:27,120 --> 00:00:30,360 Speaker 1: fascinated by something Ian Bremer um had a while back 9 00:00:30,480 --> 00:00:32,479 Speaker 1: on how there are a bunch of things that you 10 00:00:32,479 --> 00:00:34,640 Speaker 1: know we're likely going to happen anyway. They got sped 11 00:00:34,760 --> 00:00:37,560 Speaker 1: up because of the coronavirus, and one of them is 12 00:00:37,600 --> 00:00:41,920 Speaker 1: our crumbling relationship with China. But anyway, Ian Bremer is 13 00:00:42,120 --> 00:00:45,400 Speaker 1: indeed the president and founder of Eurasia Group of Political Research, 14 00:00:45,560 --> 00:00:49,240 Speaker 1: risk research and consulting firm that consults all over the globe. 15 00:00:49,240 --> 00:00:51,400 Speaker 1: And Ian joins us now a good morning or a 16 00:00:51,400 --> 00:00:54,600 Speaker 1: good day, sir, How are you ye? Happy to be 17 00:00:54,640 --> 00:00:58,400 Speaker 1: back with you guys. Thank you. It's it's always stimulating, 18 00:00:58,480 --> 00:01:02,320 Speaker 1: and I will say the Global List is incredibly thought 19 00:01:02,360 --> 00:01:05,199 Speaker 1: provoking this year, even by the standards of the previous years. 20 00:01:05,280 --> 00:01:08,720 Speaker 1: And we will get to that in a moment or two. Yeah, 21 00:01:08,760 --> 00:01:11,760 Speaker 1: I was fascinated by your take on a lot of 22 00:01:11,760 --> 00:01:14,520 Speaker 1: things that we're going to happen anyway over a long time, 23 00:01:14,600 --> 00:01:17,160 Speaker 1: got sped up by the coronavirus. Can you give us 24 00:01:17,160 --> 00:01:20,600 Speaker 1: an example a couple of those? Sure? I mean the 25 00:01:20,720 --> 00:01:25,520 Speaker 1: US China confrontation, the lack of trust, their growth, all 26 00:01:25,560 --> 00:01:29,280 Speaker 1: of that has been going on. The the disruptions that 27 00:01:29,360 --> 00:01:32,880 Speaker 1: have come from technology, both in terms of our lives 28 00:01:32,880 --> 00:01:35,200 Speaker 1: and social media and the polarization that comes from that, 29 00:01:35,280 --> 00:01:38,120 Speaker 1: but also in terms of people that aren't in the 30 00:01:38,160 --> 00:01:43,000 Speaker 1: knowledge economy, no longer having anything productive to contribute um 31 00:01:43,040 --> 00:01:47,280 Speaker 1: to capitalism, and the disenfranchisement that comes as a consequence 32 00:01:47,560 --> 00:01:51,560 Speaker 1: climate change, and and the move away from fossil fuels. 33 00:01:51,560 --> 00:01:54,279 Speaker 1: I mean, all of these things trends that were coming 34 00:01:54,600 --> 00:01:59,520 Speaker 1: accelerated dramatically on the back of coronavirus. One of the 35 00:01:59,560 --> 00:02:01,520 Speaker 1: topics we talked about a lot around here, and it's 36 00:02:01,600 --> 00:02:05,360 Speaker 1: it's difficult to predict, obviously, because change keeps coming. But 37 00:02:05,560 --> 00:02:09,160 Speaker 1: what's gonna happen to American cities, commercial real estate in 38 00:02:09,200 --> 00:02:11,639 Speaker 1: the wake of the COVID thing. We have multiple friends 39 00:02:11,639 --> 00:02:14,240 Speaker 1: and multiple industries to say, not only do we not 40 00:02:14,320 --> 00:02:20,480 Speaker 1: need office space anymore. We've seen our people's productivity surge. Yeah, 41 00:02:21,320 --> 00:02:23,360 Speaker 1: there are a lot of the CEOs I talked to 42 00:02:23,639 --> 00:02:28,359 Speaker 1: of big companies are all experimenting. So they will try 43 00:02:28,440 --> 00:02:31,000 Speaker 1: some hoteling and they don't you know, where you get 44 00:02:31,000 --> 00:02:33,119 Speaker 1: people to come, you know, in maybe two days, three 45 00:02:33,200 --> 00:02:36,680 Speaker 1: days a week. Uh. Some of them trying you know, 46 00:02:37,360 --> 00:02:39,840 Speaker 1: virtual completely with a bunch of their teams. But let's 47 00:02:39,919 --> 00:02:42,080 Speaker 1: keep in mind a couple of things. First of all, 48 00:02:42,280 --> 00:02:46,560 Speaker 1: if you're a big bank and um, you're virtual completely 49 00:02:46,760 --> 00:02:49,519 Speaker 1: and you lose big pieces of business to the guy 50 00:02:49,600 --> 00:02:51,520 Speaker 1: that is down the street and out hustling you and 51 00:02:51,600 --> 00:02:54,239 Speaker 1: sending his people in person, uh, you're not going to 52 00:02:54,320 --> 00:02:58,160 Speaker 1: be virtual for much longer. That's number one. Um. Number 53 00:02:58,160 --> 00:03:02,200 Speaker 1: two is uh, when your people are virtual and you 54 00:03:02,320 --> 00:03:05,000 Speaker 1: used to be in New York City, Uh, they may 55 00:03:05,000 --> 00:03:07,320 Speaker 1: be equally productive, but you will no longer be willing 56 00:03:07,320 --> 00:03:11,600 Speaker 1: to pay them New York City rates salaries. And if 57 00:03:11,639 --> 00:03:15,240 Speaker 1: someone can do their job as easily, um, an hour away, 58 00:03:15,880 --> 00:03:18,880 Speaker 1: they can probably do their job as easily in the Philippines, 59 00:03:19,919 --> 00:03:23,080 Speaker 1: in Brazil or in India. And I think we have 60 00:03:23,200 --> 00:03:27,600 Speaker 1: to understand that the disruption that is coming from the virtualization. 61 00:03:27,680 --> 00:03:30,320 Speaker 1: The disruption is coming from happening, and of course that's 62 00:03:30,320 --> 00:03:32,799 Speaker 1: going to transform commercial real estate, but I don't think 63 00:03:32,800 --> 00:03:35,080 Speaker 1: that's by anywhere close to the biggest thing that's coming. 64 00:03:35,120 --> 00:03:37,880 Speaker 1: We're talking before we get specifically to your riskless I 65 00:03:37,920 --> 00:03:39,600 Speaker 1: saw you tweet this yesterday, and I just want to 66 00:03:39,600 --> 00:03:41,920 Speaker 1: know what you meant you tweeted out. The business model 67 00:03:42,320 --> 00:03:47,000 Speaker 1: of social media companies is incompatible with a healthy civil society. 68 00:03:47,240 --> 00:03:52,520 Speaker 1: Explain that well, because the business model of social media 69 00:03:53,160 --> 00:03:58,400 Speaker 1: UM is to maximize uh, the eyeball attention that they 70 00:03:58,440 --> 00:04:03,760 Speaker 1: get in order to sell advertisements, and UM that means 71 00:04:03,800 --> 00:04:06,960 Speaker 1: and the way you do that is by productizing the 72 00:04:07,080 --> 00:04:10,160 Speaker 1: user you and me. And when when you do that, 73 00:04:10,520 --> 00:04:13,440 Speaker 1: the most effective way to do it is to polarize. 74 00:04:13,480 --> 00:04:15,280 Speaker 1: The most effective way to do it is to let 75 00:04:15,280 --> 00:04:17,479 Speaker 1: all the trolls on because you want to maximize the 76 00:04:17,480 --> 00:04:23,040 Speaker 1: eyeballs to have more disinformation that It's not that Facebook 77 00:04:23,520 --> 00:04:29,560 Speaker 1: UM doesn't care about disinformation on their site. Actually it's 78 00:04:29,680 --> 00:04:31,800 Speaker 1: kind of intrinsic to their business model. It's not the 79 00:04:31,839 --> 00:04:34,760 Speaker 1: Twitter doesn't care about trolls and bots on their site. 80 00:04:35,000 --> 00:04:37,440 Speaker 1: It's intrinsic to their business model. It actually drives a 81 00:04:37,440 --> 00:04:40,760 Speaker 1: lot more people. It drives a lot more eyeballs. So 82 00:04:41,640 --> 00:04:44,159 Speaker 1: you know, that doesn't mean that you can't continue to 83 00:04:44,240 --> 00:04:47,000 Speaker 1: have them, but it means either the business model needs 84 00:04:47,000 --> 00:04:49,760 Speaker 1: to change away from advertisement, you have to charge, you know, 85 00:04:49,800 --> 00:04:52,880 Speaker 1: a fee for subscription, which would make it very different 86 00:04:52,880 --> 00:04:56,239 Speaker 1: in terms of improving enhancing the user experiences the first 87 00:04:56,240 --> 00:04:59,279 Speaker 1: and foremost thing you're doing, and or you need to 88 00:04:59,320 --> 00:05:02,839 Speaker 1: regulate it. But the model as it exists right now 89 00:05:03,720 --> 00:05:09,320 Speaker 1: is antithetical to a healthy, functioning civil society, and we 90 00:05:09,360 --> 00:05:12,479 Speaker 1: are experiencing that in a very big way in the 91 00:05:12,560 --> 00:05:17,520 Speaker 1: United States. I personally truly believe that the vast majority 92 00:05:17,839 --> 00:05:24,240 Speaker 1: of people that rioted and and stormed the capital just 93 00:05:24,560 --> 00:05:29,800 Speaker 1: forty eight hours ago believed a number of things about 94 00:05:30,120 --> 00:05:33,719 Speaker 1: fundamental politics in the US that we're completely untrue. Oh, 95 00:05:33,960 --> 00:05:36,520 Speaker 1: the poor woman that got weaponized this information, the poor 96 00:05:36,560 --> 00:05:38,000 Speaker 1: woman that got shot dead. I don't know if you 97 00:05:38,040 --> 00:05:40,800 Speaker 1: went through her Twitter feed, but she mean heard her 98 00:05:41,120 --> 00:05:44,800 Speaker 1: news feed was different than mine, right, And it strikes 99 00:05:44,800 --> 00:05:48,080 Speaker 1: me in from your description that social media is pornographic 100 00:05:48,200 --> 00:05:52,279 Speaker 1: in the in the broader sense, not just sexual pornography pornography, 101 00:05:52,320 --> 00:05:57,359 Speaker 1: but ideological pornography, just constant conflict anger, that sort of thing, 102 00:05:57,360 --> 00:06:01,640 Speaker 1: because that's the most titilating. But having said that, and uh, 103 00:06:01,720 --> 00:06:06,159 Speaker 1: and having mentioned yesterday or the other day's craziness, I 104 00:06:06,200 --> 00:06:10,520 Speaker 1: know the Eurasia Group's top risk for one was already 105 00:06:10,680 --> 00:06:13,760 Speaker 1: the fact that about half the country rejects the president 106 00:06:13,839 --> 00:06:17,040 Speaker 1: of the United States. Um, how do you think that 107 00:06:17,200 --> 00:06:20,200 Speaker 1: recent events might have affected if you were rewriting the 108 00:06:20,279 --> 00:06:23,600 Speaker 1: risk list your description of that risk? Man? I mean 109 00:06:23,720 --> 00:06:26,320 Speaker 1: the pushback that that I got and we got in 110 00:06:26,400 --> 00:06:29,040 Speaker 1: the forty eight hours after we launched the risk report 111 00:06:29,480 --> 00:06:33,560 Speaker 1: was how can coronavirus not be number one? And my 112 00:06:33,680 --> 00:06:37,040 Speaker 1: response was pretty simple. I said, we've got vaccines for coronavirus, 113 00:06:37,160 --> 00:06:41,359 Speaker 1: thank god. We don't have vaccines for polarization. In the 114 00:06:41,400 --> 00:06:47,640 Speaker 1: United States, all we have is more political pornography. All 115 00:06:47,680 --> 00:06:50,920 Speaker 1: we have is people getting more divided. And uh, and 116 00:06:50,960 --> 00:06:53,000 Speaker 1: I am disappointed with you guys that you threw out 117 00:06:53,080 --> 00:06:55,680 Speaker 1: that political pornography thing and you didn't actually go any 118 00:06:55,720 --> 00:06:59,360 Speaker 1: farther with the metaphor. Right, Usually you guys are good 119 00:06:59,440 --> 00:07:05,400 Speaker 1: for that any meet me for content than you want. Hardcore, 120 00:07:06,320 --> 00:07:10,280 Speaker 1: hardcore pornography not the kind of thing you want your 121 00:07:10,360 --> 00:07:13,920 Speaker 1: kids learning about. So you know. And I also do 122 00:07:14,040 --> 00:07:16,400 Speaker 1: think it is relevant that since we're getting back to 123 00:07:16,400 --> 00:07:19,640 Speaker 1: the social media stuff that um that the the executives 124 00:07:19,640 --> 00:07:22,440 Speaker 1: of these companies who want to maximize the time that 125 00:07:22,480 --> 00:07:24,880 Speaker 1: we all spend on them, they don't let their kids 126 00:07:24,920 --> 00:07:28,920 Speaker 1: on these devices. Yeah, that's interesting in that could anything 127 00:07:28,960 --> 00:07:34,840 Speaker 1: be more telling than that they absolutely no, Yeah problem? 128 00:07:34,920 --> 00:07:38,880 Speaker 1: Oh gosh, your your third risk? Climate net zero meets 129 00:07:39,000 --> 00:07:43,200 Speaker 1: g zero what Yeah? So I mean, I'll tell you, 130 00:07:43,240 --> 00:07:47,880 Speaker 1: I'm actually more optimistic right now about um, the planet 131 00:07:48,440 --> 00:07:52,520 Speaker 1: being able to address climate change than I ever have been, 132 00:07:53,000 --> 00:07:57,960 Speaker 1: uh in my life. The election, which because of coronavirus, 133 00:07:58,240 --> 00:08:00,080 Speaker 1: no more Trump, he would have been re elect that 134 00:08:00,160 --> 00:08:02,280 Speaker 1: if it wasn't for the pandemic, and I do you 135 00:08:02,320 --> 00:08:05,600 Speaker 1: could Biden massive focus on climate as a consequence, Kerry 136 00:08:05,720 --> 00:08:08,160 Speaker 1: is the most important appointment he has. All of the 137 00:08:08,160 --> 00:08:12,320 Speaker 1: European stimulus is oriented towards sustainability on the back of coronavirus. 138 00:08:12,360 --> 00:08:14,520 Speaker 1: That's a really big deal. The Chinese don't want to 139 00:08:14,520 --> 00:08:16,480 Speaker 1: be left out. Jes Paying moving in that direction. The 140 00:08:16,480 --> 00:08:20,600 Speaker 1: new Japanese Prime minister, same thing. We really are taking 141 00:08:20,680 --> 00:08:23,240 Speaker 1: steps that make it more possible that we don't have 142 00:08:23,360 --> 00:08:26,240 Speaker 1: three or four degrees centigrade of warming. That's a very 143 00:08:26,280 --> 00:08:29,240 Speaker 1: big deal. But that's that's the net zero piece. It's 144 00:08:29,560 --> 00:08:33,800 Speaker 1: less carbon into the atmosphere. But the G zero piece 145 00:08:34,840 --> 00:08:38,000 Speaker 1: is we are living in a world that's incredibly political 146 00:08:38,080 --> 00:08:41,400 Speaker 1: divided and doesn't have global leaderships got a G seven 147 00:08:41,480 --> 00:08:44,360 Speaker 1: or G twenty two zero? And so what it means, 148 00:08:44,679 --> 00:08:47,200 Speaker 1: I mean, for all of these years, you'd have people 149 00:08:47,360 --> 00:08:49,800 Speaker 1: saying that if we could just focus on climate, we'd 150 00:08:49,800 --> 00:08:52,800 Speaker 1: come together, right, we could all save the planet, will 151 00:08:52,840 --> 00:08:55,200 Speaker 1: save the whales, will plant the trees. That's not going 152 00:08:55,240 --> 00:08:57,360 Speaker 1: to happen. There's actually going to be a lot of 153 00:08:57,480 --> 00:09:02,240 Speaker 1: competition and confrontation or over climate, over who has the resources, 154 00:09:02,240 --> 00:09:08,120 Speaker 1: who gets the resources, who dominates the new technologies for energy? 155 00:09:08,360 --> 00:09:11,400 Speaker 1: I mean, you know, the United States has over the 156 00:09:11,480 --> 00:09:14,280 Speaker 1: last ten years worked hard to become energy independent in 157 00:09:14,360 --> 00:09:17,319 Speaker 1: oil and gas. Now that we're getting away from fossil 158 00:09:17,360 --> 00:09:20,280 Speaker 1: fuels and we're focusing on things like solar and wind 159 00:09:20,440 --> 00:09:23,760 Speaker 1: and the rare earth metals we need for electric vehicles 160 00:09:23,800 --> 00:09:27,280 Speaker 1: and their batteries. You know, who dominates all of that, China, 161 00:09:27,920 --> 00:09:30,000 Speaker 1: all of it, and they're putting a lot of money 162 00:09:30,040 --> 00:09:32,880 Speaker 1: in and this is actually going to drive much more 163 00:09:32,920 --> 00:09:36,160 Speaker 1: confrontation between the Americans and the Chinese. So you've got 164 00:09:36,200 --> 00:09:39,200 Speaker 1: NET zero, which is positive, You've got G zero, which 165 00:09:39,240 --> 00:09:42,520 Speaker 1: is negative, and they're coming together. You have US China 166 00:09:42,720 --> 00:09:46,000 Speaker 1: attentions as number four, and we can talk all day 167 00:09:46,000 --> 00:09:48,319 Speaker 1: about that. And I'm fascinated with that whole story. Jumping 168 00:09:48,320 --> 00:09:50,560 Speaker 1: around a little bit. I just wondered, you've got the 169 00:09:50,600 --> 00:09:53,800 Speaker 1: cyber tipping point um on here. I'm wondering, you know, 170 00:09:53,840 --> 00:09:56,520 Speaker 1: we had that big attack recently. At what point does 171 00:09:56,559 --> 00:09:59,840 Speaker 1: a big cyber attack start getting treated like a military 172 00:09:59,840 --> 00:10:05,079 Speaker 1: at tech and responded, uh, you know, in the same way. Well, 173 00:10:05,200 --> 00:10:09,679 Speaker 1: not when it involves only espionage, which involves the Russians 174 00:10:09,720 --> 00:10:14,120 Speaker 1: inside all of our institutions and stealing information. And part 175 00:10:14,120 --> 00:10:16,520 Speaker 1: of the reason for that is because we do that 176 00:10:16,559 --> 00:10:19,800 Speaker 1: to them. So that's already going on. And how good 177 00:10:19,840 --> 00:10:22,559 Speaker 1: at it? How good at it are we are? We are? 178 00:10:22,600 --> 00:10:24,679 Speaker 1: Are we better than everybody else? Or at least as 179 00:10:24,679 --> 00:10:29,120 Speaker 1: good as China and in uh, in Russia and everybody else. Well, 180 00:10:29,320 --> 00:10:31,640 Speaker 1: we never admit this stuff. But whenever you have the 181 00:10:31,679 --> 00:10:35,040 Speaker 1: conversations with the people that truly do understand it, um 182 00:10:35,080 --> 00:10:39,439 Speaker 1: inside the US government, they they certainly are not bashful 183 00:10:39,600 --> 00:10:43,000 Speaker 1: about American offensive capabilities. The problem is that we don't 184 00:10:43,000 --> 00:10:46,280 Speaker 1: have defensive capabilities, and that's being shown to be the 185 00:10:46,320 --> 00:10:48,840 Speaker 1: case on a daily basis. And we also don't have 186 00:10:48,920 --> 00:10:53,360 Speaker 1: much capability to deter um and so it's not like 187 00:10:53,520 --> 00:10:56,760 Speaker 1: you know, mutually assured destruction, where the American Soviets had 188 00:10:56,800 --> 00:11:00,360 Speaker 1: all the nukes, but we knew that if we used one, 189 00:11:00,400 --> 00:11:03,000 Speaker 1: it could blow up the world. I mean, here the Americans, 190 00:11:03,040 --> 00:11:08,320 Speaker 1: the Russians, the Chinese dominate cyber offensive capabilities, but we 191 00:11:08,360 --> 00:11:10,960 Speaker 1: can't prevent each other from using them against each other. 192 00:11:11,480 --> 00:11:15,960 Speaker 1: And when it would become a war is not the 193 00:11:16,120 --> 00:11:19,160 Speaker 1: kind of attacks that you've seen in the last week's announced, 194 00:11:19,160 --> 00:11:21,520 Speaker 1: but rather you remember the attack on Ukraine a couple 195 00:11:21,520 --> 00:11:24,600 Speaker 1: of years ago. That was the reverse engineer, the not 196 00:11:24,640 --> 00:11:27,840 Speaker 1: Touch attack. There was a reverse engineered n S, a 197 00:11:28,120 --> 00:11:31,080 Speaker 1: malware piece of malware, and that was an espionage that 198 00:11:31,160 --> 00:11:34,840 Speaker 1: was actually going in and breaking critical infrastructuring Ukraine, and 199 00:11:34,880 --> 00:11:37,800 Speaker 1: then it got out of Ukraine and cost billions of 200 00:11:37,840 --> 00:11:40,760 Speaker 1: dollars of damage for companies like FedEx Europe and Marisk 201 00:11:40,800 --> 00:11:45,760 Speaker 1: and others. Um If that would happened at scale, I 202 00:11:45,840 --> 00:11:48,960 Speaker 1: think that could lead to escalation where a lot of 203 00:11:48,960 --> 00:11:51,640 Speaker 1: people could die. That's that, and that is certainly becoming 204 00:11:51,679 --> 00:11:54,480 Speaker 1: a greater danger over time because that Russian attack on 205 00:11:54,600 --> 00:11:58,000 Speaker 1: Ukraine wasn't meant to get outside of Ukraine. It just did. 206 00:11:58,480 --> 00:12:01,280 Speaker 1: And so the lack of determined and also means there's 207 00:12:01,320 --> 00:12:04,080 Speaker 1: a lot of danger when you're operating this stuff. Ian 208 00:12:04,080 --> 00:12:07,400 Speaker 1: Bremer is the president founder of your Asia Group. The 209 00:12:07,400 --> 00:12:11,160 Speaker 1: Global Risks List, for one is out. Even if I 210 00:12:11,240 --> 00:12:13,559 Speaker 1: were to go back to grad school number one, I'd 211 00:12:13,600 --> 00:12:15,640 Speaker 1: yell at the professors and call the Marxists and be 212 00:12:15,720 --> 00:12:20,040 Speaker 1: expelled immediately. But if somehow they tolerated me and kept 213 00:12:20,080 --> 00:12:23,560 Speaker 1: me there, I would love to study Central and South 214 00:12:23,600 --> 00:12:28,439 Speaker 1: America and and why it hasn't emerged as an economic 215 00:12:28,520 --> 00:12:30,839 Speaker 1: and political power. And I keep waiting for it. I 216 00:12:30,920 --> 00:12:33,199 Speaker 1: keep waiting for the US to really turn its attention 217 00:12:33,240 --> 00:12:36,800 Speaker 1: to our neighbors. UM. And I know that that Latin 218 00:12:36,960 --> 00:12:41,240 Speaker 1: America is on your list of risks. What's going on there? Well, 219 00:12:41,480 --> 00:12:44,079 Speaker 1: you know, it's not like Latin America is not growing 220 00:12:44,280 --> 00:12:48,560 Speaker 1: and a robust middle class across Latin America, particularly Brazil, 221 00:12:48,640 --> 00:12:52,720 Speaker 1: the largest economy, truly has been a success story. UM. 222 00:12:52,760 --> 00:12:56,679 Speaker 1: But a lot of mismanagement and a lot of frustration 223 00:12:56,880 --> 00:13:01,760 Speaker 1: as their middle classes get bigger, that their their services 224 00:13:01,840 --> 00:13:04,360 Speaker 1: aren't very good, that the kind of social contract that 225 00:13:04,440 --> 00:13:07,520 Speaker 1: a lot of people come to expect, whether it's you know, 226 00:13:07,600 --> 00:13:11,520 Speaker 1: good mass transit or effective policing or education that is 227 00:13:11,559 --> 00:13:15,400 Speaker 1: affordable and high quality, they don't have these things, and 228 00:13:15,720 --> 00:13:18,520 Speaker 1: coronavirus is making life a lot worse for them because 229 00:13:18,559 --> 00:13:20,680 Speaker 1: in the United States, we're going to roll out these 230 00:13:20,760 --> 00:13:24,360 Speaker 1: vaccines this year, and once we get ten percent of 231 00:13:24,360 --> 00:13:27,600 Speaker 1: the population vaccinated, our mortality rates going to go down 232 00:13:27,640 --> 00:13:30,400 Speaker 1: by that's going to happen by the end of first quarter. 233 00:13:30,440 --> 00:13:32,760 Speaker 1: That's a big deal. That doesn't happen in Latin America 234 00:13:32,800 --> 00:13:35,760 Speaker 1: until later in the year and in some cases next year, 235 00:13:36,240 --> 00:13:40,240 Speaker 1: so they're going to have big impact on that. Still, 236 00:13:40,400 --> 00:13:43,400 Speaker 1: like major new waves of coronavirus, a lot of people dying, 237 00:13:43,840 --> 00:13:46,000 Speaker 1: but they can't shut down the economies because they don't 238 00:13:46,040 --> 00:13:49,440 Speaker 1: have the fiscal flexibility to pay for lockdowns the way 239 00:13:49,440 --> 00:13:51,960 Speaker 1: we do in the United States or in Europe and Japan. 240 00:13:52,520 --> 00:13:55,560 Speaker 1: And so you know what happens when that occurs is 241 00:13:55,600 --> 00:13:58,199 Speaker 1: that the existing governments, whoever they are, left wing or 242 00:13:58,280 --> 00:14:01,320 Speaker 1: right wing, are blamed and so you get this whip 243 00:14:01,320 --> 00:14:06,120 Speaker 1: saw in anger on the streets spilling out that's happened 244 00:14:06,160 --> 00:14:09,080 Speaker 1: in the last year in Chilean and Peru could be 245 00:14:09,120 --> 00:14:11,319 Speaker 1: a lot broader across Latin America. And I was very 246 00:14:11,360 --> 00:14:14,600 Speaker 1: concerned that in Brazil. Just two days ago, the Brazilian 247 00:14:14,640 --> 00:14:17,720 Speaker 1: President Bolsonaro was pointing to what happened in the United 248 00:14:17,760 --> 00:14:21,000 Speaker 1: States in our capital and said, this could happen in Brazil. 249 00:14:21,080 --> 00:14:24,600 Speaker 1: And here's a guy that is absolutely prepared to weaponize 250 00:14:24,760 --> 00:14:28,920 Speaker 1: using social media disinformation and claim that he has won 251 00:14:28,960 --> 00:14:32,440 Speaker 1: the election if he doesn't. And you could easily see 252 00:14:32,440 --> 00:14:34,120 Speaker 1: what played out in the United States play out in 253 00:14:34,160 --> 00:14:37,880 Speaker 1: Brazil with a lot more violence, biggest economy in South America. 254 00:14:38,160 --> 00:14:41,680 Speaker 1: Welcome to Ian Bremer of Eurasia Group the Top Risks. 255 00:14:42,680 --> 00:14:45,360 Speaker 1: It's always fun. Let's talk against soon and we'll try 256 00:14:45,360 --> 00:14:48,760 Speaker 1: to be more outrageous and entertain you better. I appreciate 257 00:14:48,840 --> 00:14:53,520 Speaker 1: that gent call whatever. All right, thanks, I feel like 258 00:14:53,720 --> 00:14:56,320 Speaker 1: board the great Man. I got some comments on serious times, 259 00:14:56,360 --> 00:14:58,040 Speaker 1: damn it. I got some comments on some of that stup. 260 00:14:58,040 --> 00:15:00,320 Speaker 1: But we gotta take a break. Text Lin and five 261 00:15:00,400 --> 00:15:03,960 Speaker 1: k F T. C. Barnstrong and Jetty