1 00:00:00,200 --> 00:00:05,480 Speaker 1: Now here's a highlight from Coast to coast AM on iHeartRadio. 2 00:00:04,600 --> 00:00:07,360 Speaker 2: Petro Monar. One of the themes throughout your book is 3 00:00:07,400 --> 00:00:11,400 Speaker 2: that border security is big business. Tell us how big? 4 00:00:13,320 --> 00:00:15,560 Speaker 3: So this is one of the central puzzle pieces to 5 00:00:15,640 --> 00:00:17,840 Speaker 3: this story, for sure, and it's one that I think 6 00:00:18,040 --> 00:00:20,279 Speaker 3: I didn't really grasp the magnitude of. You know, we're 7 00:00:20,280 --> 00:00:25,239 Speaker 3: talking about a multi billion dollars border industrial complex, which 8 00:00:25,280 --> 00:00:27,640 Speaker 3: is what some colleagues call it. It's been estimated to 9 00:00:27,720 --> 00:00:30,920 Speaker 3: be around sixty eight to seventy billion dollars in the 10 00:00:30,960 --> 00:00:34,519 Speaker 3: coming years. Because it is indeed big business. There's so 11 00:00:34,640 --> 00:00:38,760 Speaker 3: many more innovations, technological interventions that are being proposed and 12 00:00:38,840 --> 00:00:41,879 Speaker 3: rolled out at different borders around the world, and companies 13 00:00:41,960 --> 00:00:45,080 Speaker 3: are cashing in. And again, this is not just the 14 00:00:45,240 --> 00:00:48,960 Speaker 3: US border industrial complex. We're talking about a kind of 15 00:00:48,960 --> 00:00:53,240 Speaker 3: global phenomenon where technologies are developed in one place, sold 16 00:00:53,280 --> 00:00:55,680 Speaker 3: to a second place, three purpose for a third place. 17 00:00:56,160 --> 00:00:59,200 Speaker 3: But overall, this kind of marketplace has grown up around 18 00:00:59,800 --> 00:01:01,640 Speaker 3: the area and use of technology. 19 00:01:03,040 --> 00:01:05,600 Speaker 2: Yeah, it's billions of dollars, and it's also, as you 20 00:01:06,280 --> 00:01:09,440 Speaker 2: report it throughout the book, it's an arena for experimentation, 21 00:01:09,560 --> 00:01:13,319 Speaker 2: what works and what doesn't and good gosh, they're trying 22 00:01:13,319 --> 00:01:16,200 Speaker 2: all kinds of different technologies. You write about AI and 23 00:01:16,200 --> 00:01:18,480 Speaker 2: how it's being used, share that with our listeners. 24 00:01:19,680 --> 00:01:23,120 Speaker 3: Sure so, AI or artificial intelligence is kind of one 25 00:01:23,120 --> 00:01:26,720 Speaker 3: of the latest manifestations is the way that technologies are 26 00:01:27,080 --> 00:01:29,440 Speaker 3: playing out at the border. You know, here we're talking 27 00:01:29,480 --> 00:01:32,759 Speaker 3: about things like things that sometimes can be a bit 28 00:01:32,840 --> 00:01:37,120 Speaker 3: hard to write about or talk about, algorithms visa triaging, 29 00:01:37,680 --> 00:01:41,480 Speaker 3: all sorts of machine learning interventions that have been introduced 30 00:01:41,560 --> 00:01:45,319 Speaker 3: to streamline immigration and refuge processing around the world, but 31 00:01:45,400 --> 00:01:48,240 Speaker 3: also other uses of AI. If I can just mention 32 00:01:48,400 --> 00:01:50,920 Speaker 3: two projects that to me like really stick out in 33 00:01:50,920 --> 00:01:55,840 Speaker 3: my mind, one being these proposed AI LIE detectors that 34 00:01:55,920 --> 00:01:58,680 Speaker 3: the European Union was playing around with a few years 35 00:01:58,720 --> 00:02:03,000 Speaker 3: ago through this project called Eye Border Control spelled small 36 00:02:03,000 --> 00:02:06,640 Speaker 3: Eye Border CTRL. I love the way that these projects 37 00:02:06,680 --> 00:02:09,000 Speaker 3: are named. Also, you know, you have your iPhone, your 38 00:02:09,000 --> 00:02:13,560 Speaker 3: iPad and your eyeborder control, and this project was basically 39 00:02:14,080 --> 00:02:17,520 Speaker 3: trying to use facial recognition or emotion recognition of your 40 00:02:17,560 --> 00:02:21,040 Speaker 3: faith to make a determination about whether or not you're 41 00:02:21,080 --> 00:02:23,640 Speaker 3: lying or not at the border and then being kind 42 00:02:23,680 --> 00:02:27,280 Speaker 3: of processed for secondary screening for me as a refugee 43 00:02:27,320 --> 00:02:29,720 Speaker 3: lawyer and as someone who used to represent people in court. 44 00:02:30,320 --> 00:02:33,560 Speaker 3: This is hugely problematic, right, because how can an AI 45 00:02:33,680 --> 00:02:37,799 Speaker 3: light detecture deal with differences in cross cultural communication, for example, 46 00:02:38,160 --> 00:02:40,799 Speaker 3: or even someone being nervous and not making eye contact 47 00:02:41,200 --> 00:02:43,240 Speaker 3: with you know, the avatar. 48 00:02:42,880 --> 00:02:43,480 Speaker 4: On the computer. 49 00:02:43,960 --> 00:02:47,600 Speaker 3: The humans struggle with these kind of determinations and making 50 00:02:47,639 --> 00:02:50,720 Speaker 3: all sorts of assumptions about human behavior, or what about 51 00:02:50,760 --> 00:02:52,799 Speaker 3: trauma and memory and the fact that we don't tell 52 00:02:52,840 --> 00:02:56,080 Speaker 3: stories in a linear way anyways. Again, human decision makers 53 00:02:56,080 --> 00:02:57,560 Speaker 3: struggle with this, and I've seen. 54 00:02:57,320 --> 00:03:00,760 Speaker 4: This again and again. How can an AI light it texture. 55 00:03:01,160 --> 00:03:04,480 Speaker 3: Even begins to get at some of these complexities of 56 00:03:05,919 --> 00:03:09,800 Speaker 3: human storytelling. Not to mention right that the traditional lighte textors, 57 00:03:09,960 --> 00:03:11,800 Speaker 3: the ones that go back and forth on paper, right 58 00:03:11,880 --> 00:03:14,760 Speaker 3: that you see on CSI and other shows, they're not 59 00:03:14,760 --> 00:03:17,839 Speaker 3: actually even admissible as evidence in a variety of jurisdictions 60 00:03:17,840 --> 00:03:20,399 Speaker 3: around the world because we know that they are not accurate, 61 00:03:20,960 --> 00:03:22,680 Speaker 3: and so why have we been playing around with AI 62 00:03:22,840 --> 00:03:26,240 Speaker 3: in these spaces. Another use of AI, though, is also 63 00:03:26,320 --> 00:03:29,320 Speaker 3: on the more kind of surveillance and security side of things, 64 00:03:29,760 --> 00:03:33,760 Speaker 3: by importing it into tools like drones that scan the 65 00:03:33,800 --> 00:03:37,520 Speaker 3: sky that are fully autonomous, different kinds of towers that 66 00:03:37,640 --> 00:03:41,480 Speaker 3: use AI power surveillance, and even robodogs, which is something 67 00:03:41,480 --> 00:03:44,120 Speaker 3: that the Department of Homeland Security announced when I was 68 00:03:44,120 --> 00:03:47,040 Speaker 3: in the Sonora a few years ago. These kind of 69 00:03:47,080 --> 00:03:51,560 Speaker 3: quadruped robotic machines that are military grade and that are 70 00:03:51,640 --> 00:03:55,640 Speaker 3: now joining this arsenal of border technologies and relying on. 71 00:03:55,600 --> 00:03:56,400 Speaker 4: AI to do it. 72 00:03:57,680 --> 00:04:01,120 Speaker 2: I mean, that's really a kind of intiating and orwellian 73 00:04:01,280 --> 00:04:04,120 Speaker 2: to have AI. I think you said, you wrote that 74 00:04:04,160 --> 00:04:07,880 Speaker 2: you had these AI towers along the Sonora border Arizona 75 00:04:07,920 --> 00:04:13,280 Speaker 2: and Mexico, and from those towers, AI is making decisions 76 00:04:13,320 --> 00:04:15,960 Speaker 2: about who gets in and who doesn't, and also would 77 00:04:15,960 --> 00:04:19,680 Speaker 2: be able to dispatch these robodogs that patrol the border. 78 00:04:19,720 --> 00:04:21,640 Speaker 2: That's pretty spooky. 79 00:04:22,520 --> 00:04:23,240 Speaker 4: It is, isn't it. 80 00:04:23,279 --> 00:04:26,600 Speaker 3: There's something really kind of visceral about this kind of 81 00:04:26,600 --> 00:04:29,559 Speaker 3: technology if it makes us uncomfortable, and I think it should, 82 00:04:29,640 --> 00:04:33,640 Speaker 3: because it highlights again this kind of removal from the humans, 83 00:04:33,920 --> 00:04:36,359 Speaker 3: not only the human decision maker, but also the person 84 00:04:36,400 --> 00:04:39,120 Speaker 3: that's caught at the sharpest edges of this tech. And 85 00:04:39,160 --> 00:04:42,560 Speaker 3: it really is creating this surveillance drag net that is 86 00:04:42,640 --> 00:04:46,560 Speaker 3: sweeping across the border, and also making the border a 87 00:04:46,560 --> 00:04:50,599 Speaker 3: lot wider than just that one geographic location, right, because 88 00:04:50,640 --> 00:04:52,640 Speaker 3: I think we normally think of a border as a 89 00:04:52,680 --> 00:04:56,120 Speaker 3: wall or a path to cross or something physical, right, 90 00:04:56,520 --> 00:04:59,480 Speaker 3: But what technology is doing is pushing the border into 91 00:04:59,480 --> 00:05:03,040 Speaker 3: the sky through drones, through surveillance and other types of technologies, 92 00:05:03,400 --> 00:05:07,520 Speaker 3: but also widening it horizontally and geographically, because if you 93 00:05:07,600 --> 00:05:10,320 Speaker 3: have all these towers that are against creating this kind 94 00:05:10,360 --> 00:05:14,680 Speaker 3: of sweeping surveillance dragnest, it just disaggregates the border from 95 00:05:14,680 --> 00:05:18,320 Speaker 3: its location, and it makes everything be a border. Your 96 00:05:18,320 --> 00:05:20,800 Speaker 3: body becomes a border, right as somebody who's trying to 97 00:05:20,839 --> 00:05:21,880 Speaker 3: cross these spaces. 98 00:05:22,640 --> 00:05:24,880 Speaker 2: I think both of the political parties in this country 99 00:05:24,960 --> 00:05:28,000 Speaker 2: are in favor of a higher high tech border, cyber 100 00:05:28,040 --> 00:05:31,760 Speaker 2: border in essence greater use of that. Of course, Trump 101 00:05:31,839 --> 00:05:35,240 Speaker 2: and the Republicans have favored a physical wall. I think 102 00:05:35,240 --> 00:05:39,120 Speaker 2: the Biden folks have opted for the cyber border and 103 00:05:39,200 --> 00:05:44,680 Speaker 2: those technologies, but both have their consequences. As you noted 104 00:05:45,520 --> 00:05:50,280 Speaker 2: throughout the book, the cyber technology solutions to the border 105 00:05:50,680 --> 00:05:54,000 Speaker 2: have forced people into even more dangerous situations and more 106 00:05:54,000 --> 00:05:55,599 Speaker 2: of them end up dying as a result. 107 00:05:55,720 --> 00:05:59,960 Speaker 3: Right, Yeah, absolutely, George. I mean, and that's the thing 108 00:06:00,120 --> 00:06:03,440 Speaker 3: to remember, right, States and politicians say, well, we need 109 00:06:03,440 --> 00:06:06,640 Speaker 3: smart borders, we need more technology to prevent people from coming, 110 00:06:06,760 --> 00:06:09,440 Speaker 3: to deter them from even making their way to the 111 00:06:09,520 --> 00:06:13,200 Speaker 3: United States. But again, time and again, studies have proven 112 00:06:13,720 --> 00:06:19,279 Speaker 3: that people will continue to come, they will not be deterred. 113 00:06:19,680 --> 00:06:22,520 Speaker 3: What endst that happens is that they will take more 114 00:06:22,600 --> 00:06:25,320 Speaker 3: dangerous routes, leading to loss of life, as we've seen 115 00:06:25,320 --> 00:06:28,120 Speaker 3: in the Sonora in Greece and other parts of Europe. 116 00:06:30,400 --> 00:06:33,839 Speaker 2: You mentioned in the book about the use of biometrics, 117 00:06:34,160 --> 00:06:37,640 Speaker 2: also a little spooky in the ways that this technology 118 00:06:37,680 --> 00:06:42,640 Speaker 2: is being applied to border security people, especially because, as 119 00:06:42,680 --> 00:06:45,880 Speaker 2: you note, the data that's collected ends up getting sold 120 00:06:46,000 --> 00:06:48,960 Speaker 2: all over the place to government agencies, to other companies. 121 00:06:49,120 --> 00:06:51,320 Speaker 4: Right, that's right. 122 00:06:51,440 --> 00:06:55,480 Speaker 3: Yeah, data is big business. Something that my friend Miam Jamal, 123 00:06:55,560 --> 00:06:59,479 Speaker 3: who's a data rights activists in Kenya, Joey says, data 124 00:06:59,520 --> 00:07:01,799 Speaker 3: is a new old and I think that's a really 125 00:07:01,839 --> 00:07:04,800 Speaker 3: great way of thinking about it, because we need a 126 00:07:04,839 --> 00:07:07,680 Speaker 3: lot more data to power so many of these technologies 127 00:07:07,680 --> 00:07:10,120 Speaker 3: that have become part and parcel of our lives. And 128 00:07:10,160 --> 00:07:13,720 Speaker 3: it's something that philosopher Shoshana Zubov also talks about as 129 00:07:13,760 --> 00:07:17,560 Speaker 3: surveillance capitalism, the fact that we need more and more 130 00:07:17,640 --> 00:07:20,480 Speaker 3: data to power the world that we are currently in, 131 00:07:20,920 --> 00:07:24,320 Speaker 3: and biometrics are one manifestation of it, right, Biometrics that's 132 00:07:24,400 --> 00:07:27,760 Speaker 3: basically collecting data from your body, so it seems like 133 00:07:28,640 --> 00:07:31,440 Speaker 3: finger printing, iris scanning, even the. 134 00:07:31,360 --> 00:07:32,080 Speaker 4: Way you walk. 135 00:07:33,200 --> 00:07:37,080 Speaker 3: That can all form this kind of next manifestation of 136 00:07:37,160 --> 00:07:40,280 Speaker 3: data gathering that we've seen, and for example, refugue camps 137 00:07:40,280 --> 00:07:42,760 Speaker 3: are places where this happens a lot. Right, We see 138 00:07:42,800 --> 00:07:47,280 Speaker 3: the importation of iris scanning technology, finger printing, and other 139 00:07:47,320 --> 00:07:51,160 Speaker 3: types of biometrics that have become very normalized in humanitarian spaces, 140 00:07:52,040 --> 00:07:54,840 Speaker 3: again under the guise of needing more data. More data 141 00:07:54,920 --> 00:07:58,600 Speaker 3: is always better. That's the kind of animating conversation there. 142 00:08:00,400 --> 00:08:02,760 Speaker 2: Give me your sense about before we go much further, 143 00:08:02,800 --> 00:08:05,880 Speaker 2: about a physical wall here on the US border. It 144 00:08:05,920 --> 00:08:08,920 Speaker 2: was kicked around four years ago, and there were proposals 145 00:08:08,960 --> 00:08:13,360 Speaker 2: to build the across the entire border with Mexico. Give 146 00:08:13,360 --> 00:08:15,160 Speaker 2: me your sense of whether you think that would work. 147 00:08:15,240 --> 00:08:18,280 Speaker 2: Is it possible to secure the border in a physical sense. 148 00:08:20,000 --> 00:08:23,360 Speaker 3: So I've seen large parts of the wall in Arizona 149 00:08:24,000 --> 00:08:27,560 Speaker 3: where I've been working, and it's an interesting thing to witness. 150 00:08:27,600 --> 00:08:31,000 Speaker 3: You know, it's this huge, haulking piece of metal. You 151 00:08:31,000 --> 00:08:33,079 Speaker 3: can touch it, you can drive to it. It's rusty, 152 00:08:33,160 --> 00:08:34,800 Speaker 3: and the rust will kind of stain your hand for 153 00:08:34,840 --> 00:08:36,840 Speaker 3: the rest of the day as this kind of almost 154 00:08:36,880 --> 00:08:40,600 Speaker 3: like reminder of its physicality. But often it also just ends, 155 00:08:40,679 --> 00:08:43,640 Speaker 3: you know. I remember this particular moment in one piece 156 00:08:43,760 --> 00:08:46,480 Speaker 3: of the wall in Arizona where you can drive up 157 00:08:46,520 --> 00:08:49,560 Speaker 3: to it and kind of climb the hill and pop 158 00:08:49,640 --> 00:08:51,960 Speaker 3: your head over to the other side. To me, that 159 00:08:52,080 --> 00:08:56,040 Speaker 3: was such an important reminder that borders and walls are 160 00:08:56,240 --> 00:09:01,480 Speaker 3: really also a social construct. Right. Sometimes believe politicians that say, oh, well, 161 00:09:01,480 --> 00:09:03,440 Speaker 3: we're going to make this massive wall that's going to 162 00:09:03,600 --> 00:09:05,440 Speaker 3: you know, run from post to coast, as if that 163 00:09:05,520 --> 00:09:06,160 Speaker 3: would work. 164 00:09:06,080 --> 00:09:08,000 Speaker 4: But they actually don't work. 165 00:09:08,160 --> 00:09:11,160 Speaker 3: And if I can share an anecdote, I was actually 166 00:09:11,240 --> 00:09:14,560 Speaker 3: recently in Arizona again, just last month, almost maybe three 167 00:09:14,720 --> 00:09:19,400 Speaker 3: four weeks ago, and because I have this ethnographic apological 168 00:09:19,520 --> 00:09:21,160 Speaker 3: hat on always, I was like, I'm going to drive 169 00:09:21,200 --> 00:09:23,320 Speaker 3: down to the border wall and see what's changed since 170 00:09:23,360 --> 00:09:26,560 Speaker 3: the last year that I was there. And I was 171 00:09:26,559 --> 00:09:29,440 Speaker 3: there with my friends and journalist Todd Miller, who is 172 00:09:29,559 --> 00:09:32,559 Speaker 3: an Arizona journalist doing really amazing work in this area. 173 00:09:32,600 --> 00:09:35,560 Speaker 4: I urge used to check out his work too, And we. 174 00:09:35,440 --> 00:09:37,440 Speaker 3: Were standing there by the wall trying to see, you know, 175 00:09:37,600 --> 00:09:39,840 Speaker 3: some of the new smart wall additions and things that 176 00:09:39,880 --> 00:09:43,480 Speaker 3: have been changing. And there was a surveillance tower in 177 00:09:43,520 --> 00:09:45,280 Speaker 3: front of us as well that we could clearly see, 178 00:09:45,320 --> 00:09:49,200 Speaker 3: and usually the Customs and Border Patrol trucks were rumbling by. 179 00:09:50,040 --> 00:09:53,120 Speaker 3: And as we were looking towards the wall, some movement 180 00:09:53,200 --> 00:09:55,680 Speaker 3: caught my eye and there was a young man who 181 00:09:55,960 --> 00:09:58,320 Speaker 3: literally scaled the wall and jumped down in front of 182 00:09:58,320 --> 00:10:00,320 Speaker 3: our eyes and kind of shook himself off and ran 183 00:10:00,360 --> 00:10:04,800 Speaker 3: off into the neighborhood. And I've never seen it happen 184 00:10:04,880 --> 00:10:07,960 Speaker 3: in such close proximity before, and it was literally right 185 00:10:08,080 --> 00:10:13,240 Speaker 3: underneath a surveillance tower. I talked about this anecdote because to me, again, 186 00:10:13,320 --> 00:10:16,800 Speaker 3: it shows that you can have all the security and 187 00:10:16,840 --> 00:10:19,440 Speaker 3: all the surveillance in the world, but it doesn't actually 188 00:10:19,480 --> 00:10:22,360 Speaker 3: work right. People who are desperate will find a way. 189 00:10:22,240 --> 00:10:25,000 Speaker 4: To come anyways. So shouldn't then. 190 00:10:24,920 --> 00:10:27,120 Speaker 3: The conversation be about, well, how do we make sure 191 00:10:27,120 --> 00:10:30,760 Speaker 3: that we have a more fair and robust immigration system, 192 00:10:30,840 --> 00:10:32,800 Speaker 3: How can we support people, How can we also then 193 00:10:32,800 --> 00:10:35,200 Speaker 3: look at the root causes of migration right like we 194 00:10:35,200 --> 00:10:39,520 Speaker 3: were talking about before, and actually have those tough conversations 195 00:10:39,559 --> 00:10:42,560 Speaker 3: about supporting communities so that maybe people feel like they 196 00:10:42,559 --> 00:10:43,960 Speaker 3: don't have to come in these ways. 197 00:10:44,040 --> 00:10:44,240 Speaker 4: Right. 198 00:10:46,000 --> 00:10:49,360 Speaker 2: Of course, the situation on along the US Mexican border 199 00:10:49,520 --> 00:10:52,520 Speaker 2: is much different from what European countries are facing. And 200 00:10:53,000 --> 00:10:56,079 Speaker 2: you know, you have refugees from Syria and Iraq, and 201 00:10:56,480 --> 00:10:58,920 Speaker 2: as you write in the book, people coming from Turkey 202 00:10:59,200 --> 00:11:02,560 Speaker 2: trying to get into the EU and move around and 203 00:11:02,640 --> 00:11:05,360 Speaker 2: so much they can't build a physical wall that would 204 00:11:05,360 --> 00:11:08,520 Speaker 2: work because of the ocean, and people come across on boats. 205 00:11:08,840 --> 00:11:12,040 Speaker 2: There have been absolute tragedies that you document in your book. 206 00:11:12,360 --> 00:11:15,120 Speaker 2: Talk a little bit about that that frontier and how 207 00:11:15,160 --> 00:11:16,720 Speaker 2: wild it gets and how deadly it is. 208 00:11:18,240 --> 00:11:18,480 Speaker 4: Yeah. 209 00:11:18,480 --> 00:11:21,720 Speaker 3: Absolutely, I mean, there are definitely similarities to what happens 210 00:11:21,720 --> 00:11:26,120 Speaker 3: along the US Mexico corridor. But Europe does have a 211 00:11:26,240 --> 00:11:29,600 Speaker 3: very kind of unique manifestation. And all of this precisely 212 00:11:29,640 --> 00:11:32,400 Speaker 3: because of the watery border, right, so, the Mediterranean Sea 213 00:11:32,559 --> 00:11:35,960 Speaker 3: and the agency that separates Europe from the Middle East 214 00:11:36,120 --> 00:11:39,160 Speaker 3: and North Africa, and people have been crossing into European 215 00:11:39,240 --> 00:11:45,160 Speaker 3: territory for decades now, using usually small boats. And you know, 216 00:11:45,360 --> 00:11:48,960 Speaker 3: during for example, the twenty fifteen twenty sixteen start of 217 00:11:49,000 --> 00:11:52,320 Speaker 3: the Syria crisis and the rest you know, the war 218 00:11:52,360 --> 00:11:54,520 Speaker 3: that was happening there, and of course numbers of people 219 00:11:54,559 --> 00:11:57,600 Speaker 3: coming into Europe, a lot of people were landing on 220 00:11:57,720 --> 00:12:01,439 Speaker 3: Greek islands, and then that resulted in the creation of. 221 00:12:01,280 --> 00:12:03,679 Speaker 4: The so called hotspots quote unquote. 222 00:12:03,320 --> 00:12:06,120 Speaker 3: Or islands that were then taking on large numbers of 223 00:12:06,200 --> 00:12:08,960 Speaker 3: people and building these massive refugee camps as a result. 224 00:12:09,600 --> 00:12:10,240 Speaker 4: But what has. 225 00:12:10,120 --> 00:12:13,760 Speaker 3: Happened also, and there's been thousands of deaths every year 226 00:12:13,840 --> 00:12:20,240 Speaker 3: documented people who take these treacherous routes. Oftentimes the boats 227 00:12:20,280 --> 00:12:24,839 Speaker 3: either sink on their own or in really problematic instances, 228 00:12:24,920 --> 00:12:30,560 Speaker 3: there's actually been documented cases where coastguards or even the 229 00:12:30,600 --> 00:12:34,400 Speaker 3: European Border Force which is called frontechs have been implicated 230 00:12:34,480 --> 00:12:38,480 Speaker 3: in what people sometimes called pushback operations. So instead of 231 00:12:38,520 --> 00:12:42,080 Speaker 3: allowing people to land on European territory or even assisting 232 00:12:42,120 --> 00:12:46,080 Speaker 3: them in search and rescue operations, they either leave them 233 00:12:46,120 --> 00:12:49,080 Speaker 3: there to drown, or they push them back towards Libyan 234 00:12:49,160 --> 00:12:52,520 Speaker 3: or North African territory. And there's unfortunately been thousands of 235 00:12:52,559 --> 00:12:56,680 Speaker 3: deaths that have happened along the water waterfront of Europe too, 236 00:12:57,000 --> 00:12:59,160 Speaker 3: not to mention the land borders as well, because there's 237 00:12:59,200 --> 00:13:03,040 Speaker 3: also crossings that happen, you know, between the land border, 238 00:13:03,080 --> 00:13:06,440 Speaker 3: for example, between Greece and Turkey, and other types of 239 00:13:06,520 --> 00:13:08,280 Speaker 3: roots as well. 240 00:13:08,760 --> 00:13:11,320 Speaker 2: You know, we have, as you document in the book 241 00:13:11,360 --> 00:13:15,040 Speaker 2: as the walls of Eyes. There are these vigilante groups 242 00:13:15,040 --> 00:13:18,000 Speaker 2: on the US Mexico border that patrol it. They grab 243 00:13:18,040 --> 00:13:20,199 Speaker 2: a bunch of guns, they get their jeeps and patrol 244 00:13:20,240 --> 00:13:23,200 Speaker 2: out there at night and in essence take the law 245 00:13:23,240 --> 00:13:27,080 Speaker 2: in their own hands. That same thing happens in Europe too, right. 246 00:13:28,160 --> 00:13:29,400 Speaker 4: Yeah, that's right, that's right. 247 00:13:29,520 --> 00:13:32,679 Speaker 3: You know we've heard, you know, similar instances of this 248 00:13:32,800 --> 00:13:36,679 Speaker 3: happening along the Greek Turkey border, the land border that 249 00:13:36,720 --> 00:13:39,600 Speaker 3: I just mentioned, and also along the Balkon route as 250 00:13:39,640 --> 00:13:42,680 Speaker 3: people are trying to make their way into Germany, the 251 00:13:42,720 --> 00:13:47,280 Speaker 3: Netherlands or other parts of northern and western Europe. So definitely, 252 00:13:48,240 --> 00:13:51,760 Speaker 3: I mean, it's a phenomenon that we've observed also with 253 00:13:51,920 --> 00:13:54,959 Speaker 3: the kind of arising far right sentiments and this kind 254 00:13:54,960 --> 00:13:58,720 Speaker 3: of anti migration movement that I think is a worldwide 255 00:13:58,760 --> 00:14:03,679 Speaker 3: phenomenon for sure, where local communities feel like they have. 256 00:14:03,679 --> 00:14:05,360 Speaker 4: To take matters into their own hands. 257 00:14:06,120 --> 00:14:08,560 Speaker 2: The move to far right sentiment in Europe and in 258 00:14:08,600 --> 00:14:12,200 Speaker 2: this country, I mean, to some degree, is fueled to 259 00:14:12,240 --> 00:14:16,200 Speaker 2: a large extent by migration, by large numbers of people 260 00:14:16,640 --> 00:14:18,840 Speaker 2: coming into the country, trying to get into the country, 261 00:14:19,320 --> 00:14:20,480 Speaker 2: the same in Europe. 262 00:14:20,800 --> 00:14:21,200 Speaker 1: Correct. 263 00:14:22,840 --> 00:14:26,440 Speaker 3: I'm not sure if I would necessarily agree with that characterization, 264 00:14:26,600 --> 00:14:32,000 Speaker 3: because of course migration maybe is a factor in these conversations, 265 00:14:32,040 --> 00:14:36,200 Speaker 3: but I think in fact fueled buy politics and the 266 00:14:36,200 --> 00:14:41,880 Speaker 3: weaponization of communities that have been marginalized for many, many years. 267 00:14:42,360 --> 00:14:45,120 Speaker 3: I think migration is an easy scapegoat for politicians. This 268 00:14:45,240 --> 00:14:47,120 Speaker 3: is something that we're seeing it again and again, not 269 00:14:47,200 --> 00:14:49,480 Speaker 3: just in the US or Canada, but also in the EU. 270 00:14:50,080 --> 00:14:53,280 Speaker 3: You just went through elections right at the European Parliament 271 00:14:53,440 --> 00:14:55,640 Speaker 3: two or three weeks ago, and there was a massive 272 00:14:55,720 --> 00:14:58,160 Speaker 3: swing to the right, for sure, and one of the 273 00:14:58,240 --> 00:15:02,880 Speaker 3: key themes was kind of instrumentalizing or using migration as 274 00:15:02,880 --> 00:15:06,080 Speaker 3: a way to swing voters to your side, right, but 275 00:15:06,440 --> 00:15:10,680 Speaker 3: without actually looking at what people in Europe in this 276 00:15:10,760 --> 00:15:16,640 Speaker 3: case need, right jobs, stability, answers to the environmental crisis. 277 00:15:16,640 --> 00:15:17,280 Speaker 4: That's happening. 278 00:15:18,280 --> 00:15:21,120 Speaker 3: It's just it's easier to blame migration, right, because it 279 00:15:21,200 --> 00:15:22,880 Speaker 3: is something that a lot of people have very strong 280 00:15:22,920 --> 00:15:23,600 Speaker 3: feelings about. 281 00:15:25,600 --> 00:15:28,000 Speaker 2: You're calling from Germany, you're in Berlin. Can you give 282 00:15:28,000 --> 00:15:29,800 Speaker 2: me a sense of what it's like there on the ground. 283 00:15:29,840 --> 00:15:32,440 Speaker 2: I mean, you know, if there are tendencies and we 284 00:15:32,520 --> 00:15:34,440 Speaker 2: read about it every once in a while, that there 285 00:15:34,480 --> 00:15:38,640 Speaker 2: are stories here about Germans leaning towards the far right 286 00:15:38,720 --> 00:15:42,080 Speaker 2: and extremist groups rising. We know where that has led 287 00:15:42,120 --> 00:15:45,680 Speaker 2: in German history before. It's not a good place, correct. 288 00:15:46,360 --> 00:15:48,480 Speaker 3: Yeah, definitely, And I mean this has been a trend 289 00:15:49,120 --> 00:15:52,200 Speaker 3: for a few years now in Germany with the rise 290 00:15:52,280 --> 00:15:55,240 Speaker 3: of the sort of neo far right parties, but around 291 00:15:55,240 --> 00:15:59,760 Speaker 3: Europe as well. Greached another example other euro contentions to 292 00:16:00,600 --> 00:16:02,280 Speaker 3: But I will also say, you know, there's a lot 293 00:16:02,320 --> 00:16:05,880 Speaker 3: of deep conversations that are also being had all along 294 00:16:05,880 --> 00:16:08,880 Speaker 3: the political spectrum where you know, people are scared of 295 00:16:09,200 --> 00:16:12,080 Speaker 3: the rise of the far right, and in a way 296 00:16:12,160 --> 00:16:14,680 Speaker 3: it's sad that seemed to have to get to this point, 297 00:16:14,800 --> 00:16:17,240 Speaker 3: but it also I think it's a hopeful time and 298 00:16:17,320 --> 00:16:19,520 Speaker 3: it's a very generative time because people are having these 299 00:16:19,520 --> 00:16:22,600 Speaker 3: conversations about well, this is scary, But how do we 300 00:16:22,640 --> 00:16:24,720 Speaker 3: build a different world. How do we actually think about 301 00:16:24,720 --> 00:16:27,480 Speaker 3: these things again from a community based perspective, from a 302 00:16:27,480 --> 00:16:30,960 Speaker 3: person oriented perspective, how do we come together and try 303 00:16:30,960 --> 00:16:34,120 Speaker 3: and push for a different way of governing or talking 304 00:16:34,160 --> 00:16:36,640 Speaker 3: about these issues. I'm seeing that those frends as well, 305 00:16:36,800 --> 00:16:38,640 Speaker 3: which is hopeful, you know. 306 00:16:38,680 --> 00:16:39,400 Speaker 4: I think it can. 307 00:16:39,320 --> 00:16:42,680 Speaker 3: Get very depressing, very fast doing this work and seeing 308 00:16:42,760 --> 00:16:43,800 Speaker 3: the manifestations of it. 309 00:16:44,040 --> 00:16:46,480 Speaker 4: But I will say there's also cause for hope. 310 00:16:47,480 --> 00:16:50,400 Speaker 2: Well, I haven't heard that before. I haven't heard that 311 00:16:50,440 --> 00:16:53,640 Speaker 2: from anyone, that there's cause for hope, because it's so 312 00:16:54,200 --> 00:16:56,280 Speaker 2: it is a depressing issue. I think about the people 313 00:16:56,360 --> 00:16:58,520 Speaker 2: that die out there and you will walk hundreds of 314 00:16:58,560 --> 00:17:01,560 Speaker 2: miles and then they're turn away after they get here, 315 00:17:01,760 --> 00:17:04,159 Speaker 2: or the people who die on boats trying to get 316 00:17:04,240 --> 00:17:09,320 Speaker 2: into Europe, and gosh, these are heartbreaking stories and emotions. 317 00:17:09,359 --> 00:17:11,520 Speaker 2: As I said at the beginning of our conversation, runs 318 00:17:11,560 --> 00:17:15,840 Speaker 2: so hot on this issue. People who think we can't 319 00:17:15,840 --> 00:17:17,840 Speaker 2: have a country without a border, and I think there's 320 00:17:17,920 --> 00:17:19,800 Speaker 2: a lot of sympathy for that position. 321 00:17:21,960 --> 00:17:26,840 Speaker 3: You know, It's a position that I can definitely understand, 322 00:17:26,960 --> 00:17:29,600 Speaker 3: especially given again the kind of competing crisis that we 323 00:17:29,680 --> 00:17:34,960 Speaker 3: are all living through. I think it's also, though, it's 324 00:17:35,040 --> 00:17:38,040 Speaker 3: time that we maybe think beyond some of these structures 325 00:17:38,080 --> 00:17:40,359 Speaker 3: and these ideas that we kind of hold dear and 326 00:17:40,520 --> 00:17:44,399 Speaker 3: have to ask why, right, Because borders are a social constructs. 327 00:17:44,400 --> 00:17:47,080 Speaker 3: You know, They're not as immutable as we like to 328 00:17:47,119 --> 00:17:50,120 Speaker 3: think they are. Right, and in North America in particular, right, 329 00:17:50,400 --> 00:17:53,720 Speaker 3: I mean, borders have been drawn and re drawn many times. 330 00:17:54,080 --> 00:17:59,600 Speaker 4: You around the world as well. I think it's important to. 331 00:17:59,680 --> 00:18:03,520 Speaker 3: Not take even kind of concepts like this that seems 332 00:18:03,520 --> 00:18:07,520 Speaker 3: so intractable as something that is static, you know, I 333 00:18:07,560 --> 00:18:09,760 Speaker 3: do think we actually can rethink them. I'm thinking in 334 00:18:09,760 --> 00:18:12,720 Speaker 3: particular of a recent book that came out by a 335 00:18:12,760 --> 00:18:15,960 Speaker 3: colleague of mind, John Washington, called The Case for Open Borders. 336 00:18:16,600 --> 00:18:19,880 Speaker 1: Listen to more Coast to Coast AM every weeknight at 337 00:18:19,880 --> 00:18:23,160 Speaker 1: one am Eastern, and go to Coast to coastam dot 338 00:18:23,160 --> 00:18:23,960 Speaker 1: com for more