1 00:00:03,200 --> 00:00:05,960 Speaker 1: Welcome back to a Numbers Game podcast of Ryan Gerdowski. 2 00:00:06,200 --> 00:00:09,680 Speaker 1: Thank you all for being here again for this Thursday episode. 3 00:00:09,720 --> 00:00:12,720 Speaker 1: Before I bring up my main topic about the LA riots, 4 00:00:12,760 --> 00:00:14,440 Speaker 1: I want to talk with some quick numbers for my 5 00:00:14,480 --> 00:00:17,880 Speaker 1: audience to chew. On Tuesday was the primary in New 6 00:00:18,000 --> 00:00:20,959 Speaker 1: Jersey's governor's race. This is one of two governor's races 7 00:00:20,960 --> 00:00:24,200 Speaker 1: happening this year or the other in Virginia, Democratic Congssman 8 00:00:24,400 --> 00:00:27,440 Speaker 1: Mickey Cheryl was the victor and her party's primary. She 9 00:00:27,480 --> 00:00:30,520 Speaker 1: won thirty four percent in a record high election. Was 10 00:00:30,560 --> 00:00:34,160 Speaker 1: a very crowded feel full of very highly qualified Democrats, 11 00:00:34,400 --> 00:00:37,600 Speaker 1: while the former Republican nominee from twenty twenty one, Jack Chittarelli, 12 00:00:37,800 --> 00:00:40,879 Speaker 1: won the GOP primary, taking about sixty eight percent of 13 00:00:40,880 --> 00:00:44,520 Speaker 1: the vote, very impressive. Chittarelli won every county in the state. 14 00:00:44,560 --> 00:00:48,319 Speaker 1: He was easily the favorite. Ironically, it was a very 15 00:00:48,440 --> 00:00:50,720 Speaker 1: high turnout for his primary as well, even though he 16 00:00:50,840 --> 00:00:54,639 Speaker 1: basically had locked up the nomination weeks ago. Cheryl once 17 00:00:54,640 --> 00:00:57,000 Speaker 1: again had a packed feel full of opponents and she 18 00:00:57,160 --> 00:01:00,400 Speaker 1: was running basically second. In every single came counties she 19 00:01:00,440 --> 00:01:03,080 Speaker 1: won either first or second, so that's how she was 20 00:01:03,120 --> 00:01:06,480 Speaker 1: able to beat out everybody. There was pockets that it 21 00:01:06,560 --> 00:01:10,520 Speaker 1: supported a state senator in the south, in southern Jersey, 22 00:01:10,560 --> 00:01:14,240 Speaker 1: there was pockets that supported mayors over in the suburbs 23 00:01:14,240 --> 00:01:16,880 Speaker 1: of New York. So she managed to win. Where she 24 00:01:16,880 --> 00:01:20,720 Speaker 1: didn't win first place, she won second place everywhere, powering 25 00:01:20,760 --> 00:01:24,680 Speaker 1: her victory. So it's really exciting for both those campaigns. 26 00:01:24,840 --> 00:01:27,720 Speaker 1: Cheryl had also the backing of county parties, which in 27 00:01:27,800 --> 00:01:30,200 Speaker 1: New Jersey really means something because it's one of the 28 00:01:30,240 --> 00:01:34,000 Speaker 1: last few states that really has a machine infrastructure. And 29 00:01:34,040 --> 00:01:37,080 Speaker 1: she was also supported by a pack called Emily's List, 30 00:01:37,360 --> 00:01:41,240 Speaker 1: as well as several former Democratic governors of the state. Okay, 31 00:01:41,720 --> 00:01:44,320 Speaker 1: let me talk about the numbers of the state ahead 32 00:01:44,360 --> 00:01:46,760 Speaker 1: of the general election. And I'm going to talk about 33 00:01:46,760 --> 00:01:50,960 Speaker 1: this election again before November, but it's because it's, you know, 34 00:01:51,040 --> 00:01:53,120 Speaker 1: one of only two, so we're going to be talking 35 00:01:53,160 --> 00:01:56,240 Speaker 1: about it. Democrats sat up this race with an eight 36 00:01:56,400 --> 00:02:00,400 Speaker 1: hundred and twenty seven thousand person voter advantage. There's eight 37 00:02:00,480 --> 00:02:05,080 Speaker 1: hundred and twenty seven thousand more registered Democrats than Republicans 38 00:02:05,080 --> 00:02:08,520 Speaker 1: in the Garden State. So that strength means that they're 39 00:02:08,600 --> 00:02:11,840 Speaker 1: going in this as the favorite. They have the advantage 40 00:02:11,919 --> 00:02:14,959 Speaker 1: walking into this, but the strength of the Democratic Party 41 00:02:14,960 --> 00:02:17,679 Speaker 1: in New Jersey is not what it used to be. Obviously, 42 00:02:17,720 --> 00:02:21,560 Speaker 1: everyone was surprised that Trump managed to get within six 43 00:02:21,600 --> 00:02:24,240 Speaker 1: points of winning New Jersey and Chittarelli was in three 44 00:02:24,280 --> 00:02:27,480 Speaker 1: points of winning the governorship back in twenty twenty one. 45 00:02:28,680 --> 00:02:31,839 Speaker 1: Back in twenty twenty, right before the last governor's race, 46 00:02:31,880 --> 00:02:35,959 Speaker 1: Democrats had a one point zero two seven million, almost 47 00:02:36,120 --> 00:02:41,440 Speaker 1: one million, thirty thousand person voter advantage. They lost about 48 00:02:41,480 --> 00:02:46,240 Speaker 1: two hundred thousand net voters to Republicans since the last election, 49 00:02:46,320 --> 00:02:48,280 Speaker 1: and they only won the last election by eighty four 50 00:02:48,360 --> 00:02:51,600 Speaker 1: thousand votes. So why Republicans have a real chance to 51 00:02:51,639 --> 00:02:54,480 Speaker 1: win the Garden State for the first time since since 52 00:02:54,560 --> 00:02:57,360 Speaker 1: Chris Christie back in I think tw and nine twenty thirteen, 53 00:02:57,360 --> 00:03:01,639 Speaker 1: that was his reelectionlic have done a steady job at 54 00:03:01,680 --> 00:03:05,280 Speaker 1: decreasing democrats voter advantage every month for four years. For 55 00:03:05,440 --> 00:03:08,280 Speaker 1: every month for the last four years, there have been 56 00:03:08,320 --> 00:03:12,720 Speaker 1: more new registered Republicans regis Democrats. Since December twenty twenty, 57 00:03:12,800 --> 00:03:16,080 Speaker 1: Republicans have gained a net one hundred and seventy nine 58 00:03:16,160 --> 00:03:21,000 Speaker 1: thousand new registered voters, while Democrats have lost about seventy 59 00:03:21,120 --> 00:03:24,960 Speaker 1: three thousand voters. The other big thing in New Jersey 60 00:03:25,120 --> 00:03:27,480 Speaker 1: why this is different than the last government election is 61 00:03:27,680 --> 00:03:31,400 Speaker 1: there are more registered independents than Democrats in the state. 62 00:03:31,919 --> 00:03:35,400 Speaker 1: All told, the state has about two point five million independents, 63 00:03:35,720 --> 00:03:38,920 Speaker 1: two point four to five million Democrats, and one point 64 00:03:38,960 --> 00:03:43,280 Speaker 1: sixty two million Republicans. Whoever can win a broad selection 65 00:03:43,400 --> 00:03:46,640 Speaker 1: of independence wins the governor's mansion. And once again, I'll 66 00:03:46,680 --> 00:03:48,920 Speaker 1: be back about New Jersey later on the year. We'll 67 00:03:48,920 --> 00:03:51,120 Speaker 1: talk about polling data when it comes out. There's like 68 00:03:51,280 --> 00:03:53,920 Speaker 1: essentially no polling data right now, so I'll talk about 69 00:03:53,920 --> 00:03:55,520 Speaker 1: it as it comes out. As we have more information. 70 00:03:55,560 --> 00:03:57,360 Speaker 1: Maybe I can get some of the campaigns on I 71 00:03:57,360 --> 00:03:59,400 Speaker 1: would love to sit there and even here from Democrats 72 00:03:59,640 --> 00:04:02,000 Speaker 1: about they're feeling in the Garden State because they've definitely 73 00:04:02,000 --> 00:04:04,520 Speaker 1: lost traction in a state that they needed. Jersey ever 74 00:04:04,640 --> 00:04:07,520 Speaker 1: becomes a real swing state like the way Georgia is 75 00:04:07,600 --> 00:04:11,680 Speaker 1: or Nevada, and Republicans can win it. Democrats are in 76 00:04:11,720 --> 00:04:16,560 Speaker 1: trouble nationwide. Remember, Jersey has been a consistent Democrats states 77 00:04:16,560 --> 00:04:19,200 Speaker 1: since nineteen ninety two, but from nineteen sixty eight to 78 00:04:19,279 --> 00:04:22,240 Speaker 1: nineteen eighty eight it was a reliably Republican state. So 79 00:04:22,279 --> 00:04:25,080 Speaker 1: it's not like it's unheard of that they're a party 80 00:04:25,120 --> 00:04:29,440 Speaker 1: that their state would be in contention. Okay, So now 81 00:04:29,480 --> 00:04:31,200 Speaker 1: for the main topic of the show, I want to 82 00:04:31,240 --> 00:04:35,279 Speaker 1: talk about LA. At the height of the George Floyd riots, 83 00:04:35,320 --> 00:04:37,479 Speaker 1: it was known as the Summer of Love. Well, five 84 00:04:37,560 --> 00:04:40,240 Speaker 1: years later, summer twenty twenty five, it can be known 85 00:04:40,279 --> 00:04:43,000 Speaker 1: as the Summer of Ice. Anti immigration and force and 86 00:04:43,120 --> 00:04:46,800 Speaker 1: rights have broken out in several major cities, including New York, Atlanta, 87 00:04:46,880 --> 00:04:53,440 Speaker 1: San Diego, Minneapolis, Glendeal, Arizona, San Francisco, San Antonio, Austin, Dallas, Chicago, 88 00:04:53,600 --> 00:04:57,120 Speaker 1: and La. The riots in LA have set parts of 89 00:04:57,120 --> 00:04:59,240 Speaker 1: the city of blaze and have become the epicenter of 90 00:04:59,279 --> 00:05:02,320 Speaker 1: the anti immigrant riots in the country. It all began 91 00:05:02,360 --> 00:05:05,719 Speaker 1: on June sixth, when immigration officers executed a search warrant. 92 00:05:05,760 --> 00:05:09,440 Speaker 1: This is important because a federal judge from Los Angeles 93 00:05:09,480 --> 00:05:13,200 Speaker 1: gave the okay to federal ICE agents to conduct this search. 94 00:05:13,760 --> 00:05:17,599 Speaker 1: Why you don't hear the same conversations from the left 95 00:05:17,640 --> 00:05:21,280 Speaker 1: about this as you did from like Maryland, man was 96 00:05:21,680 --> 00:05:23,680 Speaker 1: all the courts were given the okay. There was no 97 00:05:23,760 --> 00:05:27,159 Speaker 1: abuse of power on the part or even accusations of 98 00:05:27,160 --> 00:05:30,880 Speaker 1: abuse of power on the part of Democrats. When it 99 00:05:30,880 --> 00:05:33,840 Speaker 1: came to the initial search warrant, judges gave the okay. 100 00:05:34,360 --> 00:05:37,279 Speaker 1: They said you could look into four businesses suspected of 101 00:05:37,400 --> 00:05:43,080 Speaker 1: hiring illegal aliens and most importantly, falsifying business records. Word 102 00:05:43,160 --> 00:05:46,400 Speaker 1: broke out across social media, alarming activists to the raids 103 00:05:46,440 --> 00:05:48,800 Speaker 1: and asking them to show up at home depots and 104 00:05:48,920 --> 00:05:52,880 Speaker 1: ambience stores to protest ICE, where they began throwing rocks 105 00:05:52,880 --> 00:05:55,320 Speaker 1: at federal agents and even throw a few rocks at 106 00:05:55,440 --> 00:05:57,680 Speaker 1: media outlets. Media outlets were getting pelted with rocks in 107 00:05:57,680 --> 00:06:01,040 Speaker 1: some of these videos. For the last few days, protesters 108 00:06:01,080 --> 00:06:04,080 Speaker 1: have shown up across downtown LA setting cars on fire, 109 00:06:04,160 --> 00:06:08,000 Speaker 1: especially self driving cars. I don't know if this is 110 00:06:08,000 --> 00:06:11,560 Speaker 1: because self driving cars are not programmed to I guess 111 00:06:11,600 --> 00:06:14,479 Speaker 1: they're maybe because they're programmed not to hit pedestrians, so 112 00:06:14,600 --> 00:06:16,920 Speaker 1: they don't even They just sit there and they're easy targets. 113 00:06:16,920 --> 00:06:17,240 Speaker 2: I don't know. 114 00:06:17,240 --> 00:06:20,600 Speaker 1: I'm just questioning that now thinking about this and attacking 115 00:06:20,640 --> 00:06:24,200 Speaker 1: police officers and ICE agents. The riots caused President Trump 116 00:06:24,200 --> 00:06:26,480 Speaker 1: to call in two thousand National guardsmen in another two 117 00:06:26,560 --> 00:06:30,120 Speaker 1: thousand troops. It's important to note that despite the chaos. 118 00:06:30,160 --> 00:06:34,240 Speaker 1: Every Democrat governor in the country condemned President Trump's action 119 00:06:34,320 --> 00:06:36,760 Speaker 1: for calling the National Guard, saying it was an abuse 120 00:06:36,800 --> 00:06:40,240 Speaker 1: of power. Congress on Maxine Waters, who's known as a 121 00:06:40,240 --> 00:06:42,720 Speaker 1: beacon of sanity in this country. So there was no 122 00:06:42,760 --> 00:06:46,200 Speaker 1: evidence of violence at all, even though there were tons 123 00:06:46,240 --> 00:06:48,200 Speaker 1: of videos everyone could watch of cars being set on 124 00:06:48,320 --> 00:06:51,560 Speaker 1: fire and law enforcement agents being forced to cower under 125 00:06:51,560 --> 00:06:55,240 Speaker 1: a bridgehile they were being pelted with concrete debris. Hundreds 126 00:06:55,279 --> 00:06:58,839 Speaker 1: of protesters have been arrested so far, several having guns, 127 00:06:58,880 --> 00:07:00,800 Speaker 1: one had an illegal, one an legal alien, and having 128 00:07:00,839 --> 00:07:04,159 Speaker 1: a Molotov cocktail he's preparing to throw at law enforcement. 129 00:07:04,520 --> 00:07:08,039 Speaker 1: One independent journalist, Cam Higbee, who I'm hoping to have 130 00:07:08,120 --> 00:07:10,600 Speaker 1: on the podcast about this, he's been in downtown LA 131 00:07:10,640 --> 00:07:13,440 Speaker 1: though this entire thing. He asked, mes that there's tens 132 00:07:13,480 --> 00:07:16,040 Speaker 1: of millions of dollars of damages, because when you have 133 00:07:16,160 --> 00:07:21,800 Speaker 1: left wing activists protesting, you eventually will have them rioting stores. 134 00:07:21,840 --> 00:07:24,960 Speaker 1: And they've broken into Apple stores, they set a parking 135 00:07:24,960 --> 00:07:29,120 Speaker 1: a lot of blaze. There have been many attacks on businesses, 136 00:07:29,520 --> 00:07:31,920 Speaker 1: not just on police officers, which of course they've got 137 00:07:31,960 --> 00:07:34,840 Speaker 1: to cause damage to the police equipment as well. This 138 00:07:35,000 --> 00:07:38,360 Speaker 1: is all part of President Trump's effort to make goodness 139 00:07:38,360 --> 00:07:42,240 Speaker 1: promise for mass deportation, which has scaled up significantly lately. 140 00:07:42,720 --> 00:07:45,120 Speaker 1: On June four, twenty twenty five, President Trump had his 141 00:07:45,320 --> 00:07:49,400 Speaker 1: single biggest day for deportations, around twenty two hundred arrests. 142 00:07:50,120 --> 00:07:53,480 Speaker 1: Looking at these protests, it's obvious that some are protesters 143 00:07:53,520 --> 00:07:56,800 Speaker 1: aren't just illegal aliens, you know, seeing their family members 144 00:07:56,880 --> 00:08:00,200 Speaker 1: being rounded up and being upset. This is coming from 145 00:08:00,280 --> 00:08:03,120 Speaker 1: left wing activists who are planning and in my opinion, 146 00:08:03,320 --> 00:08:06,480 Speaker 1: arming some of these people with bricks and molotov cocktails 147 00:08:06,520 --> 00:08:09,200 Speaker 1: and other weapons. I like at least a few people 148 00:08:09,280 --> 00:08:12,400 Speaker 1: have been charged with illegal gun possession. The sight of 149 00:08:12,480 --> 00:08:15,880 Speaker 1: illegal aliens waving Mexican and Palestinian flags while they're be 150 00:08:15,960 --> 00:08:21,880 Speaker 1: demanding American law be skirted and ignoring American sovereignty is enraging, 151 00:08:22,680 --> 00:08:25,240 Speaker 1: and I can't help but think it emboldens Trump's face 152 00:08:25,320 --> 00:08:28,880 Speaker 1: into supporting mass deportations. If there's any wishy washy Republicans 153 00:08:28,880 --> 00:08:31,520 Speaker 1: out there, all they have to do is see a 154 00:08:31,640 --> 00:08:35,480 Speaker 1: massed illegal alien waving a Mexican flag on top of 155 00:08:35,480 --> 00:08:38,480 Speaker 1: a burned police car to get their blood boiling as 156 00:08:38,480 --> 00:08:40,840 Speaker 1: they hear CNN sit there and say these are mostly 157 00:08:40,880 --> 00:08:45,640 Speaker 1: peaceful protests. I can't imagine that is not enraging to 158 00:08:45,679 --> 00:08:49,880 Speaker 1: the average American, especially the average Republican and moderate Republicans 159 00:08:49,880 --> 00:08:52,199 Speaker 1: are the ones who are always willing to bend the 160 00:08:52,320 --> 00:08:56,360 Speaker 1: knee and to sit there and give in at the 161 00:08:56,360 --> 00:08:58,680 Speaker 1: demands of the left and sit there and say, maybe 162 00:08:58,679 --> 00:09:00,200 Speaker 1: they'll like us more than Mendi will like a more 163 00:09:00,200 --> 00:09:02,360 Speaker 1: iph We just do this. But I'm not on the 164 00:09:02,360 --> 00:09:05,559 Speaker 1: ground in LA, and I've not witnessed these protests personally, 165 00:09:05,800 --> 00:09:08,520 Speaker 1: or am I studying the protests specifically. But our next 166 00:09:08,559 --> 00:09:11,200 Speaker 1: guest is a journalist who's been following the rights very 167 00:09:11,280 --> 00:09:17,200 Speaker 1: very closely, So he's coming up next, I guess today 168 00:09:17,240 --> 00:09:19,880 Speaker 1: is Spencer Linquist. He's an investigative journalist for the Daily 169 00:09:19,880 --> 00:09:22,160 Speaker 1: Wire and he's been covering the rights in LA. Spencer, 170 00:09:22,160 --> 00:09:23,240 Speaker 1: thanks for being here. 171 00:09:23,400 --> 00:09:24,199 Speaker 2: Thanks for having me. 172 00:09:24,520 --> 00:09:28,480 Speaker 1: So my first question is there seems to be that 173 00:09:28,640 --> 00:09:32,360 Speaker 1: part of these riots, especially in Los Angeles, are organic. 174 00:09:33,480 --> 00:09:37,000 Speaker 1: You know, you see like the overweight Mexican illegal alien 175 00:09:37,040 --> 00:09:39,440 Speaker 1: throwing stuff at cop cars, and then there's some of 176 00:09:39,440 --> 00:09:42,760 Speaker 1: it that seems to be organized as far as the 177 00:09:42,840 --> 00:09:45,960 Speaker 1: leftist organizations in there and saying come here, you know, 178 00:09:46,760 --> 00:09:49,400 Speaker 1: to protest, ice agents and the police. What can you 179 00:09:49,400 --> 00:09:51,720 Speaker 1: tell me about the organizational aspects. 180 00:09:52,360 --> 00:09:55,000 Speaker 3: Yeah, so there's a wide range of different organizations that 181 00:09:55,000 --> 00:09:57,679 Speaker 3: are involved in these protests, and I had to report 182 00:09:57,720 --> 00:09:59,840 Speaker 3: earlier this week we're honed in on a couple of those, 183 00:10:00,000 --> 00:10:02,559 Speaker 3: and these are really radical organizations. You know, we're used 184 00:10:02,600 --> 00:10:05,360 Speaker 3: to seeing the communist groups, we're used to seeing Antifa, 185 00:10:05,720 --> 00:10:09,199 Speaker 3: were used to seeing groups that oftentimes openly call themselves Marxists. 186 00:10:09,520 --> 00:10:11,559 Speaker 3: But what I think is very interesting by this situation 187 00:10:12,040 --> 00:10:15,200 Speaker 3: is that it isn't just these standard left wing groups 188 00:10:15,200 --> 00:10:18,080 Speaker 3: that Americans have unfortunately become very familiar with over the 189 00:10:18,120 --> 00:10:20,800 Speaker 3: course of the last several years, you know, even since 190 00:10:21,160 --> 00:10:24,240 Speaker 3: twenty fifteen, twenty sixteen, when they really became active at 191 00:10:24,240 --> 00:10:26,400 Speaker 3: the start of the of the Trump era. What we're 192 00:10:26,400 --> 00:10:29,640 Speaker 3: seeing now is organizations that in effect really are calling 193 00:10:29,800 --> 00:10:34,080 Speaker 3: for Mexico to retake part of this country. That they're 194 00:10:34,080 --> 00:10:39,439 Speaker 3: calling for the southwestern states, Texas, New Mexico, California, Arizona 195 00:10:39,800 --> 00:10:44,040 Speaker 3: to really be retaken. And they're viewing this not in 196 00:10:44,120 --> 00:10:47,400 Speaker 3: the traditional just left right paradigm. They're seeing this actually 197 00:10:47,760 --> 00:10:51,120 Speaker 3: as a revenge really for the Mexican American War. That 198 00:10:51,240 --> 00:10:52,920 Speaker 3: is really the framing that a lot of these groups 199 00:10:52,960 --> 00:10:56,360 Speaker 3: have taken. So we looked at multiple organizations. One is 200 00:10:56,400 --> 00:11:00,160 Speaker 3: called a Centro Cso, another one is called Union in 201 00:11:00,320 --> 00:11:04,560 Speaker 3: del Barrio, and both of these organizations they have this symbol. 202 00:11:04,559 --> 00:11:09,280 Speaker 3: It's called Atslam and this comes from the Lazza movement. Larrazzo, 203 00:11:09,360 --> 00:11:13,280 Speaker 3: of course means the race. It is an openly racial movement, 204 00:11:13,320 --> 00:11:17,280 Speaker 3: an openly racially motivated movement, and this symbol. They actually 205 00:11:17,280 --> 00:11:20,640 Speaker 3: have a flag that we showed online, and it's a 206 00:11:20,679 --> 00:11:25,000 Speaker 3: flag of these lower States, these southwestern states, as their 207 00:11:25,040 --> 00:11:28,440 Speaker 3: own nation, as potentially part of Mexico. So we're seeing 208 00:11:28,480 --> 00:11:32,760 Speaker 3: these organizations again, these organizations that the American people really 209 00:11:32,800 --> 00:11:35,040 Speaker 3: aren't familiar with up until now. But these are all 210 00:11:35,120 --> 00:11:38,840 Speaker 3: kind of Chicano activist groups, Mexican activist groups, and what 211 00:11:38,880 --> 00:11:42,400 Speaker 3: they're doing really is they're engaging in activism in the 212 00:11:42,480 --> 00:11:46,400 Speaker 3: United States on behalf of not only their specific sectional, 213 00:11:46,520 --> 00:11:50,120 Speaker 3: factional ethnic interests, but potentially even on the base of 214 00:11:50,160 --> 00:11:53,120 Speaker 3: the national interests of foreign powers like Mexico. 215 00:11:53,679 --> 00:11:55,959 Speaker 1: You know what's so interesting about the Loraza movement. I 216 00:11:56,000 --> 00:11:57,240 Speaker 1: don't know if you know this, but you know that 217 00:11:57,280 --> 00:12:01,839 Speaker 1: the Castro brothers walking and it's the other congressman's name. 218 00:12:01,840 --> 00:12:06,360 Speaker 1: It's Joaquin Castro, and his brother's name is Julian Castro. 219 00:12:06,840 --> 00:12:10,240 Speaker 1: Julian was in the Obama and the Obama administration as 220 00:12:10,280 --> 00:12:16,960 Speaker 1: a housing an urban urban housing department. Their mother, Rosie, 221 00:12:17,559 --> 00:12:21,320 Speaker 1: was a central organizer with the Lazza movement. I think 222 00:12:21,360 --> 00:12:24,280 Speaker 1: back in the seventies, if I'm not mistaken, in his sixties. 223 00:12:24,320 --> 00:12:26,480 Speaker 1: So they go back a very very long time in this. 224 00:12:26,600 --> 00:12:29,079 Speaker 1: I haven't actually paid attention to what they've been saying 225 00:12:29,080 --> 00:12:35,319 Speaker 1: about it, but they are steeped in the entire Larazza effort. 226 00:12:35,559 --> 00:12:38,000 Speaker 1: And this has been dating back decades. This isn't a 227 00:12:38,040 --> 00:12:40,400 Speaker 1: new thing. I mean, it's not as well known, but 228 00:12:40,480 --> 00:12:42,240 Speaker 1: this is this is not a new thing. Do you 229 00:12:42,280 --> 00:12:44,480 Speaker 1: know anything about but the origin of the Loraza movement. 230 00:12:44,880 --> 00:12:47,360 Speaker 3: You know, I'm not too familiar with the specific backgrounds 231 00:12:47,360 --> 00:12:49,360 Speaker 3: of those congressmen, but I do know quite a bit 232 00:12:49,640 --> 00:12:53,560 Speaker 3: about this, the milieu really that that has fostered this 233 00:12:53,640 --> 00:12:56,479 Speaker 3: type of activism. I grew up in San Jose, California. 234 00:12:56,960 --> 00:12:59,040 Speaker 3: You know, it's an area where there's a really really 235 00:12:59,120 --> 00:13:02,079 Speaker 3: high immigrant popular and when I was covering protests there, 236 00:13:02,080 --> 00:13:05,000 Speaker 3: even just as a high schooler's eighteen nineteen going to 237 00:13:05,000 --> 00:13:07,559 Speaker 3: some of these protests, and we would see the brown Berets. 238 00:13:07,559 --> 00:13:09,920 Speaker 3: They'd be running security at a lot of these groups. 239 00:13:09,920 --> 00:13:12,880 Speaker 3: And that's some form of offshoot from the Lauraza movement. 240 00:13:12,920 --> 00:13:15,360 Speaker 3: It's you know, one of the factions within it. And 241 00:13:15,920 --> 00:13:19,560 Speaker 3: this again, this is an ethnically racially motivated group. These 242 00:13:19,600 --> 00:13:23,160 Speaker 3: aren't the typical organizations like just Antifa or some of 243 00:13:23,160 --> 00:13:26,520 Speaker 3: these other Marxist organizations. And what we're seeing right now 244 00:13:26,559 --> 00:13:29,480 Speaker 3: in Los Angeles is there's kind of this perfect storm 245 00:13:29,600 --> 00:13:32,560 Speaker 3: for these activists that they've been organizing for years on 246 00:13:32,600 --> 00:13:35,680 Speaker 3: the basis of this identity. And now you have mass immigration, 247 00:13:35,679 --> 00:13:38,920 Speaker 3: it's hidden apex. Now you have a foreign class within 248 00:13:39,080 --> 00:13:42,079 Speaker 3: the United States, particularly within Los Angeles, maybe more than 249 00:13:42,400 --> 00:13:45,640 Speaker 3: any other city in the country arguably, and there is 250 00:13:45,679 --> 00:13:49,800 Speaker 3: this marriage really between these organized forces, these highly ideological 251 00:13:49,880 --> 00:13:54,079 Speaker 3: forces like Union del Barrio and Centro Coso and various 252 00:13:54,120 --> 00:13:57,920 Speaker 3: other Larraza organizations. And then you also do just see 253 00:13:58,120 --> 00:14:01,320 Speaker 3: this organic sense. You've got people who are flying the 254 00:14:01,320 --> 00:14:03,880 Speaker 3: Mexican flag there. Of course, they don't have any form 255 00:14:03,920 --> 00:14:06,600 Speaker 3: of loyalty in the United States. This is something I 256 00:14:06,640 --> 00:14:09,480 Speaker 3: think that really puts to bed one of the big 257 00:14:09,520 --> 00:14:12,720 Speaker 3: sacred cows that the left is touted for really several decades, 258 00:14:12,720 --> 00:14:15,280 Speaker 3: and that is the idea that diversity is our greatest strength. 259 00:14:15,600 --> 00:14:18,280 Speaker 2: That's something that we've heard endlessly. The argument. 260 00:14:18,520 --> 00:14:21,120 Speaker 3: It's really ridiculous on his face, but it goes something 261 00:14:21,160 --> 00:14:23,480 Speaker 3: like this. The idea is that if you pack as 262 00:14:23,560 --> 00:14:26,920 Speaker 3: many differences as you can into the same political body, 263 00:14:27,000 --> 00:14:31,520 Speaker 3: as many different languages, racial and ethnic backgrounds, national origins, religions, 264 00:14:31,720 --> 00:14:34,360 Speaker 3: as many different cultures and customs, if you pack as 265 00:14:34,400 --> 00:14:37,840 Speaker 3: many different differences into the same political body, that somehow 266 00:14:37,920 --> 00:14:41,480 Speaker 3: that is going to result in a peaceful and prosperous society. 267 00:14:41,720 --> 00:14:43,280 Speaker 3: That's something that people on the right of well, we've 268 00:14:43,320 --> 00:14:46,040 Speaker 3: already been highly skeptical of. But what we're seeing now 269 00:14:46,200 --> 00:14:49,000 Speaker 3: in Los Angeles, I think really puts that to rest. 270 00:14:49,080 --> 00:14:51,280 Speaker 3: It really kills that sacred cow on the left. But 271 00:14:51,320 --> 00:14:53,800 Speaker 3: we've seen really in actuality. What happens is that we've 272 00:14:54,200 --> 00:14:57,640 Speaker 3: a fifth column that we've imported into this country. They're 273 00:14:57,760 --> 00:15:01,720 Speaker 3: waving the flags be foreign nation as they're attacking federal 274 00:15:01,760 --> 00:15:05,080 Speaker 3: law enforcement. Simply what's going on in Los Angeles Is 275 00:15:05,240 --> 00:15:07,600 Speaker 3: people are trying to enforce the law. These are laws 276 00:15:07,600 --> 00:15:09,320 Speaker 3: that have been on the books for years. Unfortunately, they 277 00:15:09,320 --> 00:15:13,560 Speaker 3: haven't been enforced with any seriousness until now. And what 278 00:15:13,560 --> 00:15:16,640 Speaker 3: we're seeing is the American government can't even enforce its 279 00:15:16,680 --> 00:15:20,720 Speaker 3: own laws without a foreign class really revolting against it 280 00:15:20,840 --> 00:15:22,160 Speaker 3: in one of our largest cities. 281 00:15:22,480 --> 00:15:24,320 Speaker 1: You know, it's always interesting that they throw in the 282 00:15:24,360 --> 00:15:27,240 Speaker 1: Palestine flag as well as the Mexican flag, because it's 283 00:15:27,280 --> 00:15:32,240 Speaker 1: what it essentially is is a anti colonial movement in 284 00:15:32,320 --> 00:15:35,640 Speaker 1: their version of colonialism. It's very a part of their 285 00:15:36,080 --> 00:15:42,320 Speaker 1: race Marxism ideology cross section. But there seems to be 286 00:15:42,360 --> 00:15:47,080 Speaker 1: a lot of people a lot of tactics that are 287 00:15:47,120 --> 00:15:50,880 Speaker 1: similar between the twenty twenty protests during the George Floyd 288 00:15:50,920 --> 00:15:53,880 Speaker 1: summer where there's just bricks everywhere and they're breaking up 289 00:15:53,920 --> 00:15:58,200 Speaker 1: concrete to throw them at police. They've rated Apple stores 290 00:15:58,240 --> 00:16:01,840 Speaker 1: and other stores, which you know, nothing says we support 291 00:16:01,880 --> 00:16:05,520 Speaker 1: illegal aliens like rating an Apple store. What have you 292 00:16:05,720 --> 00:16:09,680 Speaker 1: seen as far as attacks like violence goes, especially against 293 00:16:09,760 --> 00:16:12,240 Speaker 1: law enforcement. What are some tactics that have been used. 294 00:16:12,840 --> 00:16:15,160 Speaker 3: Yeah, we've seen really a range of different a range 295 00:16:15,200 --> 00:16:18,080 Speaker 3: of different violent actions. Of course, there's some pretty infamous 296 00:16:18,320 --> 00:16:21,360 Speaker 3: video now of you know, people throwing. 297 00:16:21,400 --> 00:16:24,120 Speaker 2: Blocks of concrete or rocks. 298 00:16:23,760 --> 00:16:26,120 Speaker 3: Even limescooters, which if you've ever rode one of those, 299 00:16:26,200 --> 00:16:29,560 Speaker 3: that they're pretty heavy, and these are our items are 300 00:16:29,600 --> 00:16:32,360 Speaker 3: getting tossed off the side of a highway overpass on 301 00:16:32,400 --> 00:16:35,040 Speaker 3: to cop cars. You know, it's almost miraculous that some 302 00:16:35,080 --> 00:16:39,040 Speaker 3: of these police weren't getting, you know, hit with these. 303 00:16:39,600 --> 00:16:41,600 Speaker 3: A lot of that damage was to the cars themselves. 304 00:16:41,600 --> 00:16:43,880 Speaker 3: You saw these windshields being broke, and of course there's 305 00:16:43,880 --> 00:16:45,680 Speaker 3: been these way moos that have been lit on fire. 306 00:16:46,040 --> 00:16:48,440 Speaker 3: So there's a number of different disruptive tactics and it 307 00:16:48,480 --> 00:16:51,960 Speaker 3: really is reminiscent of what we saw in the BLM 308 00:16:52,040 --> 00:16:54,640 Speaker 3: summer where there was riots all across the country. And 309 00:16:54,680 --> 00:16:56,760 Speaker 3: I think you're right to hone in on that form 310 00:16:56,760 --> 00:16:59,280 Speaker 3: of anti colonial rhetoric that they used. One of the 311 00:16:59,360 --> 00:17:02,640 Speaker 3: organizations that looked into Union del Barrio they speak that 312 00:17:02,720 --> 00:17:06,960 Speaker 3: exact language of anti colonialism, and really their overarching goal 313 00:17:07,440 --> 00:17:13,560 Speaker 3: is they call it Nuestra America New America, and what 314 00:17:13,560 --> 00:17:15,280 Speaker 3: they want to do is they it's a it's a 315 00:17:15,320 --> 00:17:19,119 Speaker 3: movement really across borders, and they want to reconquer the 316 00:17:19,240 --> 00:17:23,400 Speaker 3: United States for for indigenous people, that that is their movement, 317 00:17:23,720 --> 00:17:27,480 Speaker 3: and they say they're fighting back against European colonialism, fighting 318 00:17:27,520 --> 00:17:31,320 Speaker 3: back against the archetypal Anglo settler. So they're they're viewing 319 00:17:31,359 --> 00:17:35,560 Speaker 3: this in explicitly racial and ethnic terms, and mass migration, 320 00:17:36,000 --> 00:17:38,200 Speaker 3: it should be noted, is is really what they see 321 00:17:38,280 --> 00:17:42,119 Speaker 3: as their tool for reconquering the American Southwest and perhaps 322 00:17:42,160 --> 00:17:45,400 Speaker 3: beyond mass immigration, something that we've been told is a blessing. 323 00:17:45,440 --> 00:17:48,760 Speaker 3: It's something that apparently makes our country stronger, a fur 324 00:17:48,920 --> 00:17:52,240 Speaker 3: more secure. We've been told all these lies. These left 325 00:17:52,240 --> 00:17:56,119 Speaker 3: wing organizations view the first step in the reconquering of 326 00:17:56,200 --> 00:17:58,800 Speaker 3: America to be mass migration, and that's why they're fighting 327 00:17:58,840 --> 00:18:02,160 Speaker 3: against these deep ortations so hard, and in many cases 328 00:18:02,160 --> 00:18:03,840 Speaker 3: these protesters are fighting back violently. 329 00:18:04,320 --> 00:18:07,719 Speaker 1: Yeah, you know, it's so funny, is I wasn't super 330 00:18:07,760 --> 00:18:09,640 Speaker 1: political in my youth. I guess I kind of had 331 00:18:09,680 --> 00:18:11,720 Speaker 1: always a little bit of it. But then I in 332 00:18:11,760 --> 00:18:15,679 Speaker 1: two thousand and seven or six, I went on a 333 00:18:15,720 --> 00:18:18,399 Speaker 1: family vacation where there was like no I mean there 334 00:18:18,440 --> 00:18:19,960 Speaker 1: was barely an intern to begin with, but there was 335 00:18:20,000 --> 00:18:24,159 Speaker 1: like no television period, and I read a lot, and 336 00:18:24,200 --> 00:18:26,600 Speaker 1: I read one of pap Buchanan's books, and he was 337 00:18:26,680 --> 00:18:28,760 Speaker 1: mentioning I think it's the first reason I ever read 338 00:18:28,920 --> 00:18:32,080 Speaker 1: who mentioned any of this stuff. And it's just incredible 339 00:18:32,080 --> 00:18:34,640 Speaker 1: that it's been twenty something years later, and I think 340 00:18:34,640 --> 00:18:36,320 Speaker 1: the book was ten years old at the time, and 341 00:18:36,359 --> 00:18:41,240 Speaker 1: now it's really come to the forefront. I don't imagine 342 00:18:41,520 --> 00:18:45,320 Speaker 1: that this has broad support within the Latino community, though 343 00:18:45,920 --> 00:18:50,399 Speaker 1: mass deportations may be increasing. Is the goal here to 344 00:18:50,480 --> 00:18:53,800 Speaker 1: have like the goal for the Black Panthers was to 345 00:18:53,800 --> 00:18:58,080 Speaker 1: have a radical revolution, but they ever had humongously broad 346 00:18:58,119 --> 00:19:01,439 Speaker 1: support amongst the American in the left. They were never denounced, 347 00:19:01,480 --> 00:19:03,399 Speaker 1: but they were never only huge support. I guess this 348 00:19:03,520 --> 00:19:06,840 Speaker 1: so Soldier was denounced, but that was about it. The 349 00:19:07,000 --> 00:19:10,840 Speaker 1: Is the goal here to have broad support among the 350 00:19:10,920 --> 00:19:14,280 Speaker 1: Latino American community that is moving to the right fashion 351 00:19:14,280 --> 00:19:17,560 Speaker 1: in any other community, or is it just to have 352 00:19:18,119 --> 00:19:21,760 Speaker 1: just to really make a staple within progressivism and in 353 00:19:21,840 --> 00:19:24,040 Speaker 1: the Democratic Party is to say no, this is what 354 00:19:24,080 --> 00:19:27,320 Speaker 1: you're what your police are. Because I think maybe I'm wrong, 355 00:19:27,560 --> 00:19:30,920 Speaker 1: did anyone besides John Fetterman condemned this yet? I don't think. 356 00:19:31,000 --> 00:19:32,919 Speaker 1: I think John Vernermon was the only one as far 357 00:19:32,960 --> 00:19:35,920 Speaker 1: as I know, it could as far as democratic elected officials. 358 00:19:36,560 --> 00:19:39,960 Speaker 3: Yeah, that's that's the really the high profile democratic condemnation 359 00:19:40,040 --> 00:19:42,040 Speaker 3: that I've seen so far. When it comes to the 360 00:19:42,119 --> 00:19:44,240 Speaker 3: goals of these organizations, I really do think it is 361 00:19:44,280 --> 00:19:47,000 Speaker 3: the former you know. There there's there's even eclips of 362 00:19:47,040 --> 00:19:50,440 Speaker 3: them trying to speak with Hispanic members of law enforcement saying, 363 00:19:50,880 --> 00:19:52,240 Speaker 3: don't don't attack. 364 00:19:52,000 --> 00:19:52,919 Speaker 2: Your own community. 365 00:19:52,960 --> 00:19:56,920 Speaker 3: Don't you know, ethnically cleanse your own community, basically calling 366 00:19:56,920 --> 00:19:59,320 Speaker 3: them traders to their people. You know, I don't really 367 00:20:00,240 --> 00:20:03,720 Speaker 3: at being particularly successful. Of course, the Hispanic community is 368 00:20:03,760 --> 00:20:08,560 Speaker 3: not a monolith. It's more conservative in Texas, at least 369 00:20:08,600 --> 00:20:11,800 Speaker 3: relative to how liberal it is in California, you know, 370 00:20:11,840 --> 00:20:14,200 Speaker 3: So it certainly isn't a monolith, and I'm not sure 371 00:20:14,200 --> 00:20:16,399 Speaker 3: that they will be able to achieve that broad support, 372 00:20:16,640 --> 00:20:18,800 Speaker 3: but there has certainly been an undercurrent of this type 373 00:20:18,800 --> 00:20:22,520 Speaker 3: of organizing. I think the immediate goal of these groups 374 00:20:22,600 --> 00:20:26,040 Speaker 3: is to make deportations as painful as humanly possible. I 375 00:20:26,080 --> 00:20:28,720 Speaker 3: think they're trying to send a message to the administration, 376 00:20:28,800 --> 00:20:31,840 Speaker 3: to law enforcement that every time you try and enforce 377 00:20:31,840 --> 00:20:33,679 Speaker 3: the law, laws again that have been on the books 378 00:20:33,880 --> 00:20:37,000 Speaker 3: for years, laws that are broadly supported by Americans, that 379 00:20:37,040 --> 00:20:38,640 Speaker 3: we are going to make it painful for you, maybe 380 00:20:38,680 --> 00:20:41,120 Speaker 3: in the very literal sense of we're going to throw 381 00:20:41,119 --> 00:20:43,440 Speaker 3: a brick through your windshield, or we're going to pelt 382 00:20:43,480 --> 00:20:46,480 Speaker 3: your vehicles, or we're going to riot, or maybe just 383 00:20:46,680 --> 00:20:50,359 Speaker 3: politically costly. I think both those strategies are going to backfire. 384 00:20:50,720 --> 00:20:53,600 Speaker 3: The broad swath of the American public is not going 385 00:20:53,640 --> 00:20:54,760 Speaker 3: to like these scenes. 386 00:20:54,800 --> 00:20:56,480 Speaker 2: I don't think they've liked these scenes. 387 00:20:56,119 --> 00:21:00,440 Speaker 3: Of foreigners waving foreign flags on top of burn cars 388 00:21:00,440 --> 00:21:02,879 Speaker 3: one of America's largest cities, and the optics are very 389 00:21:02,920 --> 00:21:03,680 Speaker 3: bad for them. 390 00:21:04,280 --> 00:21:07,480 Speaker 1: So I've seen at least one or two cases of 391 00:21:07,600 --> 00:21:10,399 Speaker 1: maleotof cocktails being thrown, one by an illegal alien who 392 00:21:10,440 --> 00:21:13,480 Speaker 1: was arrested for throwing molotov cocktails at the police. There 393 00:21:13,520 --> 00:21:16,359 Speaker 1: was an instant where the LAPD was stuck underneath a 394 00:21:16,400 --> 00:21:20,880 Speaker 1: bridge and they were throwing bricks at them, and one 395 00:21:20,880 --> 00:21:23,040 Speaker 1: only goal alien, I think was at least handful of 396 00:21:23,080 --> 00:21:25,960 Speaker 1: illegal islands were caught with illegal guns. Has there been 397 00:21:26,080 --> 00:21:29,679 Speaker 1: any calls for explicit violence in the sense of like 398 00:21:29,760 --> 00:21:32,800 Speaker 1: let's kill a cop that you've seen anywhere, or is 399 00:21:32,840 --> 00:21:35,880 Speaker 1: it just like let's cause chaos. 400 00:21:36,520 --> 00:21:39,880 Speaker 3: I did see one speaker who is with Centro Cso 401 00:21:40,000 --> 00:21:41,440 Speaker 3: this is one of the one of the groups that 402 00:21:41,480 --> 00:21:44,080 Speaker 3: we featured in our report who is making some statements 403 00:21:44,119 --> 00:21:46,040 Speaker 3: that certainly could be perceived as. 404 00:21:45,960 --> 00:21:47,240 Speaker 2: Calls to cost of violence. 405 00:21:47,680 --> 00:21:50,160 Speaker 3: The individual was saying, we're going to take the fight 406 00:21:50,200 --> 00:21:53,520 Speaker 3: to them, We're not playing defense anymore, that when they 407 00:21:53,520 --> 00:21:55,360 Speaker 3: come to this city, they're going to realize that we're 408 00:21:55,359 --> 00:21:58,840 Speaker 3: not messing around anymore. You know, made some statements that 409 00:21:59,040 --> 00:22:01,440 Speaker 3: certainly did seem to appear like there was a call 410 00:22:01,520 --> 00:22:05,639 Speaker 3: to violence. You know, it is difficult to unless we 411 00:22:05,720 --> 00:22:09,120 Speaker 3: get actual, you know, more arrests, unless we get more footage. 412 00:22:09,160 --> 00:22:11,720 Speaker 3: It's difficult to say exactly the extent to which these 413 00:22:11,800 --> 00:22:14,880 Speaker 3: organizations are involved in the violence. But what I can 414 00:22:14,960 --> 00:22:17,440 Speaker 3: say is that there was one group that is affiliated 415 00:22:17,440 --> 00:22:17,880 Speaker 3: with both of. 416 00:22:17,840 --> 00:22:19,000 Speaker 2: These two organizations. 417 00:22:19,119 --> 00:22:21,680 Speaker 3: It was passing out goggles, it was passing out helmets, 418 00:22:21,920 --> 00:22:24,760 Speaker 3: passing out gloves, passing out really all of these items 419 00:22:24,800 --> 00:22:26,679 Speaker 3: that would be very useful if you're going up against 420 00:22:26,920 --> 00:22:29,880 Speaker 3: cops that are using tear gas or that of riot shields. 421 00:22:30,560 --> 00:22:34,480 Speaker 3: So there certainly arezations that, even if they are not 422 00:22:34,600 --> 00:22:37,720 Speaker 3: themselves explicitly by their own admission, involved in the violence, 423 00:22:38,200 --> 00:22:40,800 Speaker 3: do certainly seem to be facilitating a lot of violence 424 00:22:40,800 --> 00:22:41,359 Speaker 3: that we've seen. 425 00:22:41,800 --> 00:22:48,120 Speaker 1: Well, the goggles and helmets, they cost money. How are 426 00:22:48,119 --> 00:22:51,800 Speaker 1: they getting money? Is there someone financing these organizations? I 427 00:22:51,800 --> 00:22:54,000 Speaker 1: assume there would be, but I wouldn't know. You wouldn't 428 00:22:54,000 --> 00:22:55,720 Speaker 1: you know who they are or how they get their money 429 00:22:55,800 --> 00:22:58,840 Speaker 1: or are they multimillion other organizations? I have no idea. 430 00:22:59,320 --> 00:23:03,679 Speaker 3: Yeah, these SPECI organizations, these three, they're unofficial organizations, so 431 00:23:03,720 --> 00:23:06,240 Speaker 3: they're not nonprofits. They don't have you know, nine to 432 00:23:06,320 --> 00:23:09,200 Speaker 3: ninety forms from the IRS that we can go dig into. 433 00:23:09,520 --> 00:23:11,959 Speaker 3: So it's a lot more difficult really to to do 434 00:23:12,040 --> 00:23:14,800 Speaker 3: research into the into the financing of these groups. Oftentimes 435 00:23:14,800 --> 00:23:17,119 Speaker 3: they'll make calls out on social media that they'll say, 436 00:23:17,320 --> 00:23:20,679 Speaker 3: here's our venmo, here's our PayPal, here's our zel, you know, 437 00:23:20,760 --> 00:23:23,119 Speaker 3: send us some money. We're going to be, you know, 438 00:23:23,200 --> 00:23:26,720 Speaker 3: protesting tonight in Los Angeles. So it's really amorphous, you know. 439 00:23:26,760 --> 00:23:29,520 Speaker 3: In many cases, it's a lot more difficult to investigate 440 00:23:29,560 --> 00:23:31,000 Speaker 3: exactly where the money is coming from. 441 00:23:31,160 --> 00:23:33,479 Speaker 1: It's it's a lot of it's a lot of white 442 00:23:33,520 --> 00:23:36,199 Speaker 1: Libs in Williamsburg who are sending their parents' money to 443 00:23:36,320 --> 00:23:40,280 Speaker 1: like some Lazo race group it's really poetry when you 444 00:23:40,280 --> 00:23:41,960 Speaker 1: think about it. I'm sorry, go ahead and continue. 445 00:23:42,000 --> 00:23:44,280 Speaker 2: No, that's that's absolutely right. I mean there's this uh. 446 00:23:44,960 --> 00:23:46,800 Speaker 3: I think it's a microcosm of what we see on 447 00:23:46,840 --> 00:23:48,639 Speaker 3: the left, one of their more effective strategies. 448 00:23:48,680 --> 00:23:50,920 Speaker 2: It's this high low coalition. Right. 449 00:23:50,920 --> 00:23:53,199 Speaker 3: You kind of have this mythos on the left that 450 00:23:53,560 --> 00:23:56,639 Speaker 3: you can have these mass movements, these mass calls for justice, 451 00:23:57,040 --> 00:24:00,719 Speaker 3: and that this type of mass mobilization really exchange at 452 00:24:00,760 --> 00:24:03,440 Speaker 3: the national political level. But what we actually see is 453 00:24:03,480 --> 00:24:05,119 Speaker 3: that these are the foot soldiers, and that there is 454 00:24:05,200 --> 00:24:08,560 Speaker 3: elite support that comes down from the top to bolster 455 00:24:08,640 --> 00:24:11,400 Speaker 3: the efforts of people, you know, who are down there 456 00:24:11,440 --> 00:24:14,080 Speaker 3: doing the street level activism and the street level rioting. 457 00:24:14,359 --> 00:24:17,639 Speaker 3: I think the most the biggest example of this is 458 00:24:17,840 --> 00:24:20,520 Speaker 3: Kamala Harris promoting that bail fund during one of the 459 00:24:20,520 --> 00:24:21,440 Speaker 3: BLM riots. 460 00:24:21,600 --> 00:24:22,600 Speaker 2: But we're even seeing it now. 461 00:24:22,600 --> 00:24:25,240 Speaker 3: You know, there is the National Immigrant Law Center and 462 00:24:25,720 --> 00:24:29,520 Speaker 3: they're passing out a guide telling illegal aliens, effectively, how 463 00:24:29,560 --> 00:24:31,880 Speaker 3: to protest safely. They're saying, leave your phones at home, 464 00:24:32,840 --> 00:24:36,240 Speaker 3: give whatever papers that you might have, you know two 465 00:24:36,280 --> 00:24:40,119 Speaker 3: loved ones, don't identify yourself. They're really handing out this 466 00:24:40,119 --> 00:24:43,159 Speaker 3: guide really to agitate foreign nationals who are present in 467 00:24:43,160 --> 00:24:45,560 Speaker 3: our country. But you do see this marriage between the 468 00:24:46,080 --> 00:24:48,719 Speaker 3: kind of scrappy street level people and some of these 469 00:24:48,800 --> 00:24:52,920 Speaker 3: organizations that certainly are more well funded and more official that. 470 00:24:52,840 --> 00:24:56,480 Speaker 1: Would make it easier to find them. Okay, last two questions, 471 00:24:56,560 --> 00:25:01,280 Speaker 1: What if anything has the administration could they do really 472 00:25:01,320 --> 00:25:03,840 Speaker 1: to crack down on organizations like this that are trying 473 00:25:03,880 --> 00:25:07,480 Speaker 1: to skirt the law like what have What could what 474 00:25:07,760 --> 00:25:11,640 Speaker 1: could the presidence administration or even local law enforcement due 475 00:25:11,640 --> 00:25:13,639 Speaker 1: to really crack down these organizations? 476 00:25:14,280 --> 00:25:16,040 Speaker 3: You know, the biggest thing in this that the Trump 477 00:25:16,040 --> 00:25:18,400 Speaker 3: administration has already done is to pull the funding from 478 00:25:18,440 --> 00:25:22,000 Speaker 3: these large organizations. There's one group called the Coalition for 479 00:25:22,119 --> 00:25:24,840 Speaker 3: Humane Immigrant Rights and they raked in i believe, tens 480 00:25:24,840 --> 00:25:27,560 Speaker 3: of millions of dollars from the Biden administration. They've been 481 00:25:27,600 --> 00:25:31,040 Speaker 3: involved in organizing these protests, and we wrote about them 482 00:25:31,040 --> 00:25:34,160 Speaker 3: back I believe in October of last year. The Trump 483 00:25:34,160 --> 00:25:37,520 Speaker 3: administration pulled their funding earlier this year, so that of 484 00:25:37,560 --> 00:25:38,520 Speaker 3: course is a big step. 485 00:25:39,040 --> 00:25:39,240 Speaker 2: You know. 486 00:25:39,240 --> 00:25:42,800 Speaker 3: Another another potential option that the administration or members of 487 00:25:42,840 --> 00:25:46,480 Speaker 3: Congress could have is to officially criminalize to a higher 488 00:25:46,520 --> 00:25:50,359 Speaker 3: degree a legal border crossing. You know, that is something 489 00:25:50,400 --> 00:25:53,320 Speaker 3: that not only would discourage legal immigration, but it could 490 00:25:53,320 --> 00:25:58,600 Speaker 3: also potentially give people, you know, more legal room to 491 00:25:58,960 --> 00:26:02,399 Speaker 3: prosecute who are in this country illegally and potentially to 492 00:26:02,400 --> 00:26:04,000 Speaker 3: prosecute those who are facilitating that. 493 00:26:04,800 --> 00:26:08,080 Speaker 1: It's always crazy whenever you hear oh, you know, the 494 00:26:08,119 --> 00:26:10,600 Speaker 1: Trump administration is doing X, Y and Z to stop 495 00:26:10,600 --> 00:26:13,240 Speaker 1: illegal immigration, and the natural impulse was, wait a second, 496 00:26:13,280 --> 00:26:15,679 Speaker 1: they have those they have the ability to do that anyway. 497 00:26:15,880 --> 00:26:19,760 Speaker 1: Of course, our tax dollars are being spent to bring 498 00:26:19,760 --> 00:26:25,119 Speaker 1: in illegal aliens. It's some mind boggling. Okay, last question, Spencer, 499 00:26:25,200 --> 00:26:27,119 Speaker 1: what are you working on and what pople go to 500 00:26:27,200 --> 00:26:29,040 Speaker 1: read more about your stuff the Daily Wire. 501 00:26:29,640 --> 00:26:33,520 Speaker 3: Yeah, I'm covering immigration really every day. This is the 502 00:26:33,880 --> 00:26:36,879 Speaker 3: seismic political issue of our time, both for America and 503 00:26:36,880 --> 00:26:39,880 Speaker 3: for Western civilization more broadly. So this is what I'm 504 00:26:39,880 --> 00:26:42,160 Speaker 3: digging into, this is what I'm spending my time researching 505 00:26:42,200 --> 00:26:44,760 Speaker 3: and investigating, and you can find it first and foremost 506 00:26:44,800 --> 00:26:47,000 Speaker 3: at The Daily Wire and also on Twitter. The name 507 00:26:47,040 --> 00:26:49,480 Speaker 3: is Spencer Linquist and you can keep up with some 508 00:26:49,520 --> 00:26:51,120 Speaker 3: of my investigations there as well. 509 00:26:51,440 --> 00:26:51,560 Speaker 2: Well. 510 00:26:51,600 --> 00:26:54,800 Speaker 1: Spencier, thanks on the podcast. I love reading your stuff, 511 00:26:54,800 --> 00:26:56,560 Speaker 1: so I'll keep checking it out and love to have 512 00:26:56,600 --> 00:26:57,520 Speaker 1: you backma on time. 513 00:26:57,960 --> 00:26:58,880 Speaker 2: Thank you very much, Rian. 514 00:26:59,240 --> 00:27:04,600 Speaker 1: Hey, we'll be right back after this time. Forward the 515 00:27:04,640 --> 00:27:07,240 Speaker 1: ask Me Anything segment of the podcast. Thank you so 516 00:27:07,359 --> 00:27:09,439 Speaker 1: much for your emails. I really enjoy getting them. I 517 00:27:09,480 --> 00:27:12,280 Speaker 1: read every single email. You can email me Ryan at 518 00:27:12,400 --> 00:27:16,560 Speaker 1: Numbers Gamepodcast dot com. That's Ryan at Numbers Game podcast 519 00:27:16,640 --> 00:27:18,919 Speaker 1: dot com. Ask me any question you want and I'll 520 00:27:18,960 --> 00:27:21,520 Speaker 1: try to bring you the data and the information that 521 00:27:21,600 --> 00:27:24,119 Speaker 1: you want to hear to find out what the numbers 522 00:27:24,160 --> 00:27:26,399 Speaker 1: are behind these narratives you hear from the mainstream media. 523 00:27:26,920 --> 00:27:29,960 Speaker 1: This email comes from Cheryl Dunn. Dearest Ryan, there's a 524 00:27:30,000 --> 00:27:32,800 Speaker 1: story that came out at the time of me writing 525 00:27:32,840 --> 00:27:36,199 Speaker 1: this Wednesday about a federal immigration rate on a Nebraskan 526 00:27:36,280 --> 00:27:39,480 Speaker 1: meat production plant. The owner of the plans data that 527 00:27:39,520 --> 00:27:42,200 Speaker 1: he used everify and verified over seventy employees that turn 528 00:27:42,240 --> 00:27:45,960 Speaker 1: out to have stolen US identities to get employed. If 529 00:27:46,000 --> 00:27:48,600 Speaker 1: we can't rely on e verified to secure the job market, 530 00:27:48,640 --> 00:27:51,399 Speaker 1: what can we do? So what Cheryl's talking about is 531 00:27:51,440 --> 00:27:53,840 Speaker 1: that there was an ice rate in Omaha at the 532 00:27:53,880 --> 00:27:58,119 Speaker 1: Glenn Valley Food Plant where, according to Congressman Don bacon. 533 00:27:58,200 --> 00:28:00,399 Speaker 1: Seventy five to eighty people were detained for being in 534 00:28:00,440 --> 00:28:04,120 Speaker 1: the country illegally, according to Glenn Valley Food Plant. They 535 00:28:04,119 --> 00:28:06,680 Speaker 1: said that they used to Everify in the hiring process. 536 00:28:06,760 --> 00:28:10,160 Speaker 1: Everify is supposed to allow employers to figure out who 537 00:28:10,160 --> 00:28:12,840 Speaker 1: you can and cannot hire illegally or illegally, you know, 538 00:28:12,880 --> 00:28:15,399 Speaker 1: in this country, with their status is I called my 539 00:28:15,440 --> 00:28:18,240 Speaker 1: friends at the Center for Immigration Studies after reading this email. 540 00:28:18,320 --> 00:28:21,359 Speaker 1: I asked them, how how could these this many people 541 00:28:21,560 --> 00:28:24,720 Speaker 1: thwart Everify and get away with it? This is it's 542 00:28:24,760 --> 00:28:27,080 Speaker 1: not one person, it's a lot of people. And they 543 00:28:27,160 --> 00:28:31,040 Speaker 1: said it was statistically improbable that everify was actually being 544 00:28:31,160 --> 00:28:35,560 Speaker 1: used correctly in this case that they were that they 545 00:28:35,560 --> 00:28:38,720 Speaker 1: were kind of, you know, saying they were using without 546 00:28:38,720 --> 00:28:42,360 Speaker 1: actually thoroughly using it. I researched information from DHS and 547 00:28:42,400 --> 00:28:45,360 Speaker 1: they said everifies accuracy rate as the twenty eighteen was 548 00:28:45,440 --> 00:28:49,480 Speaker 1: ninety eight point eight eight percent for work authorized individuals 549 00:28:49,560 --> 00:28:54,760 Speaker 1: and ninety four percent accuracy for final non confirmations. The 550 00:28:55,000 --> 00:28:58,240 Speaker 1: reporting shows that there was very very few cases of 551 00:28:58,320 --> 00:29:02,960 Speaker 1: people really being able to get away with not being employed. 552 00:29:03,280 --> 00:29:07,520 Speaker 1: The only way that this actually happened where was seventy 553 00:29:07,520 --> 00:29:10,000 Speaker 1: five to eighty people. Is if they were all using 554 00:29:10,080 --> 00:29:13,479 Speaker 1: stolen IDs, which if they are that many people in 555 00:29:13,600 --> 00:29:17,960 Speaker 1: one single location getting stolen ideas stolen driver's licenses or 556 00:29:18,440 --> 00:29:23,160 Speaker 1: doctor's driver's licenses using real numbers, then there's obviously a 557 00:29:23,320 --> 00:29:27,360 Speaker 1: larger operation going on that is producing these driver's licenses. 558 00:29:27,360 --> 00:29:29,640 Speaker 1: Once again, I asked my friends who were in the 559 00:29:29,680 --> 00:29:32,200 Speaker 1: know about this. They said, it's likely that that everify 560 00:29:32,320 --> 00:29:34,520 Speaker 1: was not actually being carried out as they as it's 561 00:29:34,560 --> 00:29:37,160 Speaker 1: supposed to, and that they were trying they're trying to 562 00:29:37,160 --> 00:29:41,560 Speaker 1: save face now if it if it was being carried out, 563 00:29:41,800 --> 00:29:45,040 Speaker 1: and it's just that there is an operation of people 564 00:29:45,160 --> 00:29:49,600 Speaker 1: illegally producing and manufacturing driver's licenses in Omaha. Like Omaha 565 00:29:49,680 --> 00:29:53,600 Speaker 1: is a big city, but it's not Chicago. It's because 566 00:29:54,000 --> 00:29:56,680 Speaker 1: that there's some other operation going on that the federal 567 00:29:56,680 --> 00:29:59,800 Speaker 1: government needs to look at and investigate. Because ev verifce 568 00:29:59,840 --> 00:30:04,120 Speaker 1: work very good in Florida. Florida has a huge, hugely 569 00:30:04,320 --> 00:30:08,520 Speaker 1: large amount of you verify, I think what the terminology was, 570 00:30:08,520 --> 00:30:11,280 Speaker 1: but application is being processed through you verify. I think 571 00:30:11,280 --> 00:30:13,640 Speaker 1: Florida is now the number one state under Governor Desantas. 572 00:30:14,000 --> 00:30:16,400 Speaker 1: So it does work when it's being used correctly. I 573 00:30:16,440 --> 00:30:18,360 Speaker 1: just don't know if it's being used correctly, and if 574 00:30:18,360 --> 00:30:21,840 Speaker 1: there is, if it is an illegal system where they're 575 00:30:21,880 --> 00:30:25,080 Speaker 1: producing fake driver's licenses, I think that's a separate obstacle 576 00:30:25,080 --> 00:30:27,600 Speaker 1: to take. But as far as we're seeing in Florida, 577 00:30:27,800 --> 00:30:31,680 Speaker 1: when you verify is being used properly, it's actually working. 578 00:30:32,200 --> 00:30:35,760 Speaker 1: So I think that I think that more of this 579 00:30:35,800 --> 00:30:38,680 Speaker 1: is about saving face for the plant, for the Glenn 580 00:30:38,800 --> 00:30:41,560 Speaker 1: Valley Food Plant than it is about if the system 581 00:30:41,600 --> 00:30:44,719 Speaker 1: is flawed. That's my answer. Hope you guys like it. 582 00:30:44,800 --> 00:30:46,880 Speaker 1: Come back on Monday. We have a great show prepare 583 00:30:46,920 --> 00:30:49,320 Speaker 1: for you guys, and I will see you next week. 584 00:30:49,360 --> 00:30:51,880 Speaker 1: If you like this podcast, please like and subscribe on 585 00:30:51,920 --> 00:30:55,000 Speaker 1: the iHeartRadio app, Apple podcast, wherever you get your podcast. 586 00:30:55,200 --> 00:30:57,120 Speaker 1: Give me a five star review if you're feeling generous. 587 00:30:57,160 --> 00:30:59,080 Speaker 1: It really helps the show out and I will see 588 00:30:59,120 --> 00:30:59,760 Speaker 1: you next week.