1 00:00:03,240 --> 00:00:05,200 Speaker 1: Welcome to a numbers game of Ryan Groski. Thank you 2 00:00:05,200 --> 00:00:08,320 Speaker 1: guys for being here again. We have quite the podcast today. 3 00:00:08,400 --> 00:00:10,560 Speaker 1: On Wednesday we had Senator Tom Cotton and today we 4 00:00:10,560 --> 00:00:13,520 Speaker 1: have Missouri Senator Eric Schmith. That's very exciting. He has 5 00:00:13,560 --> 00:00:15,120 Speaker 1: a lot going on in Congress that I want to 6 00:00:15,160 --> 00:00:17,079 Speaker 1: go over before we talk about the intew. I have 7 00:00:17,120 --> 00:00:19,600 Speaker 1: some numbers to break for you guys today to discuss. 8 00:00:19,960 --> 00:00:23,119 Speaker 1: First there and then numbers and stories. First, there's a 9 00:00:23,160 --> 00:00:26,400 Speaker 1: story about an ICE agent killing an American citizen that 10 00:00:26,440 --> 00:00:29,200 Speaker 1: I want to address. This is a man named Keith 11 00:00:29,320 --> 00:00:32,000 Speaker 1: Porter Ju who was shot by an off duty ICE 12 00:00:32,040 --> 00:00:34,760 Speaker 1: officer and his daughter made a TikTok and when viral, 13 00:00:34,840 --> 00:00:38,080 Speaker 1: millions people have viewed it and Americans, feeling immense compassion, 14 00:00:38,080 --> 00:00:41,000 Speaker 1: have donated hundreds of thousands of dollars to his family. 15 00:00:41,479 --> 00:00:44,080 Speaker 1: Activists are now urging the LA Board of Police Commissions 16 00:00:44,080 --> 00:00:45,240 Speaker 1: to investigate his death. 17 00:00:45,360 --> 00:00:46,280 Speaker 2: So what happened? 18 00:00:46,760 --> 00:00:49,280 Speaker 1: Did an ICE agent just decide to execute a black 19 00:00:49,320 --> 00:00:51,800 Speaker 1: American because he was on a power trip. No, of 20 00:00:51,840 --> 00:00:55,320 Speaker 1: course not. According to ABC seven Los Angeles, Porter was 21 00:00:55,400 --> 00:00:58,280 Speaker 1: shooting a rifle. I believe it was an ar into 22 00:00:58,320 --> 00:01:01,240 Speaker 1: the air on New year's eve, the ICE agent who 23 00:01:01,320 --> 00:01:03,440 Speaker 1: lived in the same complex. I think it was an 24 00:01:03,480 --> 00:01:06,360 Speaker 1: apartment complex. That's would it suggests the story where the 25 00:01:06,360 --> 00:01:09,399 Speaker 1: man was shooting off the rifle in the air, confronted 26 00:01:09,480 --> 00:01:12,080 Speaker 1: him and told him to stop, porter them pointed the 27 00:01:12,160 --> 00:01:14,839 Speaker 1: gun at him, and that's when the ICE officer fired 28 00:01:14,880 --> 00:01:17,679 Speaker 1: at him, killing him. Look, the left is prepared to 29 00:01:17,760 --> 00:01:21,559 Speaker 1: tell you every horrible story that involves an ICE agent, 30 00:01:21,640 --> 00:01:25,120 Speaker 1: every person who makes a mistake, every single time anything 31 00:01:25,240 --> 00:01:29,640 Speaker 1: happens to anybody. But you have to really put numbers 32 00:01:29,680 --> 00:01:33,000 Speaker 1: into context. According to Pro Publica, which is a left 33 00:01:33,000 --> 00:01:36,560 Speaker 1: wing outlet, one hundred and seventy Americans have been detained 34 00:01:36,560 --> 00:01:40,600 Speaker 1: by ICE agents as of October. That's one hundred and 35 00:01:40,680 --> 00:01:44,679 Speaker 1: seventy out of hundreds of thousands encounters. That's not many. 36 00:01:45,480 --> 00:01:48,720 Speaker 1: That's probably lower than any police department in a major 37 00:01:48,760 --> 00:01:52,440 Speaker 1: city in the country in terms of having encounters with 38 00:01:52,440 --> 00:01:54,520 Speaker 1: innocent people. And by the way, any person who is 39 00:01:54,560 --> 00:01:58,960 Speaker 1: mistreated by any federal agent, but of certainly an ICE agent, 40 00:01:59,280 --> 00:02:02,040 Speaker 1: and they suffer injuries, they should get compensation. I'm not 41 00:02:02,080 --> 00:02:04,040 Speaker 1: saying that they shouldn't, not saying ICE agents shouldn't. The 42 00:02:04,080 --> 00:02:06,480 Speaker 1: government shouldn't compensate them for anything like that. They should 43 00:02:06,560 --> 00:02:08,360 Speaker 1: be able to sue and get them a compensation if 44 00:02:08,400 --> 00:02:11,760 Speaker 1: they were actually mistreated. They weren't blocking traffic, they weren't 45 00:02:11,800 --> 00:02:14,520 Speaker 1: trying to swing at an ICE agent or whatnot. But 46 00:02:14,600 --> 00:02:18,440 Speaker 1: the reason you're seeing the same videos being played over 47 00:02:18,520 --> 00:02:20,920 Speaker 1: and over again, the reason these people are going there 48 00:02:20,960 --> 00:02:24,120 Speaker 1: with cameras and they're having one or two agitators do 49 00:02:24,400 --> 00:02:28,239 Speaker 1: something to try to stop ICE agents while everyone films 50 00:02:28,240 --> 00:02:30,040 Speaker 1: it from every different angle, is because they want to 51 00:02:30,040 --> 00:02:32,400 Speaker 1: make sure that this is not pretty. They want to 52 00:02:32,440 --> 00:02:36,120 Speaker 1: make sure that this is negative looking because it's their 53 00:02:36,240 --> 00:02:39,520 Speaker 1: way to sit there and win on the issue immigration again. 54 00:02:39,720 --> 00:02:42,760 Speaker 1: They're hoping that this will lead to momentum to disband 55 00:02:42,840 --> 00:02:46,720 Speaker 1: ICE altogether, to spand immigration enforcement altogether. That's what they 56 00:02:46,760 --> 00:02:49,840 Speaker 1: want to do. They want to end in immigration enforcement. 57 00:02:49,840 --> 00:02:52,920 Speaker 1: We finally have a president who wants to enforce the law, 58 00:02:53,240 --> 00:02:55,680 Speaker 1: who wants to keep a campaign promise, who wants some 59 00:02:55,680 --> 00:02:59,919 Speaker 1: mass deportations winning right now accomplishing that task of removing 60 00:03:00,040 --> 00:03:03,160 Speaker 1: illegal aliens. The millions upon millions of illegal Lowans who 61 00:03:03,200 --> 00:03:07,000 Speaker 1: broke into our country, refused to buy by our laws, 62 00:03:07,040 --> 00:03:09,880 Speaker 1: refuse to learn our language, had anchor babies in this 63 00:03:09,919 --> 00:03:12,240 Speaker 1: country who had all the rights and the privileges and 64 00:03:12,240 --> 00:03:14,919 Speaker 1: the access to welfare that our ancestors fought for and 65 00:03:15,120 --> 00:03:17,920 Speaker 1: built and waited their turns for. If you're an illegal 66 00:03:18,160 --> 00:03:22,400 Speaker 1: immigrant and struggled over generations to achieve, those same illegal 67 00:03:22,480 --> 00:03:25,720 Speaker 1: aliens who work off the books and send money back 68 00:03:25,760 --> 00:03:30,720 Speaker 1: to their foreign country, they need to be deported. It 69 00:03:30,800 --> 00:03:33,120 Speaker 1: is up for this administration not to give up an 70 00:03:33,120 --> 00:03:36,960 Speaker 1: inch despite every negative video that you're going to see. 71 00:03:37,000 --> 00:03:37,800 Speaker 2: It is so. 72 00:03:37,680 --> 00:03:40,640 Speaker 1: Important right now, more than ever, when they're giving this 73 00:03:40,840 --> 00:03:44,880 Speaker 1: hyper emotional argument that we need to get completely back 74 00:03:44,920 --> 00:03:46,920 Speaker 1: away in the one year it's only been one year, 75 00:03:46,960 --> 00:03:49,080 Speaker 1: one year of enforcing immigration law, that we need to 76 00:03:49,120 --> 00:03:51,160 Speaker 1: back away from it. No, we need to stand with ice. 77 00:03:51,600 --> 00:03:53,040 Speaker 1: So sorry for going on a rant. I know a 78 00:03:53,080 --> 00:03:54,800 Speaker 1: lot of my audience doesn't like it. I mean, they 79 00:03:54,840 --> 00:03:56,240 Speaker 1: don't like when I get too emotional. I get it, 80 00:03:56,240 --> 00:03:57,960 Speaker 1: but I'm Italian. There's only so much I could do. 81 00:03:58,760 --> 00:04:01,000 Speaker 1: Speaking of immigration. There's another story that I want to 82 00:04:01,040 --> 00:04:03,600 Speaker 1: go over with you on right now. They're the Brooking Institute, 83 00:04:03,640 --> 00:04:06,120 Speaker 1: a left wing nonprofit report that for the first time 84 00:04:06,160 --> 00:04:08,920 Speaker 1: in half a century, more immigrants left the United States 85 00:04:08,960 --> 00:04:12,800 Speaker 1: then came net migration fell between ten thousand, a net 86 00:04:12,840 --> 00:04:15,320 Speaker 1: loss of ten thousand to two hundred and ninety five 87 00:04:15,360 --> 00:04:18,120 Speaker 1: thousand and twenty twenty five. This is according to economists 88 00:04:18,120 --> 00:04:21,599 Speaker 1: when the Eldeberg and Tara Watson, as well as can 89 00:04:22,080 --> 00:04:24,680 Speaker 1: Stan Viager. I think his last name is. You guys 90 00:04:24,720 --> 00:04:26,960 Speaker 1: know I can't pronounce name. I think it's Stan Vieger. 91 00:04:27,160 --> 00:04:30,200 Speaker 1: From the American Enterprise INSTITO, which is a right of 92 00:04:30,279 --> 00:04:34,279 Speaker 1: center nonprofit, they say, our results suggest that net migration 93 00:04:34,480 --> 00:04:37,279 Speaker 1: likely range from negative two hundred ninety five thousand to 94 00:04:37,360 --> 00:04:40,600 Speaker 1: negative ten thy twenty twenty five. For twenty twenty six, 95 00:04:40,640 --> 00:04:43,680 Speaker 1: we project, I mean, I can't believe they said this 96 00:04:43,720 --> 00:04:46,000 Speaker 1: outll looud. We project the range will be negative nine 97 00:04:46,120 --> 00:04:48,480 Speaker 1: hundred and twenty five thousand to positive one hundred and 98 00:04:48,480 --> 00:04:50,800 Speaker 1: eighty five thousand. That is such a ridiculously large range. 99 00:04:50,800 --> 00:04:53,640 Speaker 1: I can't believe that they even bother righting it. So 100 00:04:53,680 --> 00:04:57,240 Speaker 1: they expect immigration population continue to decrease in twenty twenty six. 101 00:04:57,320 --> 00:04:59,039 Speaker 1: This flies in the face of by the way of 102 00:04:59,040 --> 00:05:02,279 Speaker 1: the CBO as Stamantha Congressional Budget Office estimate said that 103 00:05:02,320 --> 00:05:06,080 Speaker 1: we grew our immigration population by four hundred thousand that 104 00:05:06,120 --> 00:05:06,800 Speaker 1: was earlier this week. 105 00:05:06,880 --> 00:05:08,120 Speaker 2: I told you they projected that. 106 00:05:08,279 --> 00:05:11,680 Speaker 1: So we'll see by the end of the year when 107 00:05:11,720 --> 00:05:14,440 Speaker 1: the census comes out what the actual number is. They 108 00:05:14,480 --> 00:05:17,440 Speaker 1: believe that while the US imported two point seven million 109 00:05:17,440 --> 00:05:21,799 Speaker 1: immigrants through student and work and family reunification visas, about 110 00:05:21,839 --> 00:05:24,400 Speaker 1: two point eight two point nine million left on their own. 111 00:05:24,720 --> 00:05:26,600 Speaker 1: They either they were deported, or they left on their own, 112 00:05:26,680 --> 00:05:29,160 Speaker 1: or they had normal outflow, their visa expired and they 113 00:05:29,200 --> 00:05:31,320 Speaker 1: just went home. They also asked me that net outflow 114 00:05:31,400 --> 00:05:35,120 Speaker 1: migration will likely be around five hundred five hundred thousand 115 00:05:35,200 --> 00:05:37,520 Speaker 1: is the average for twenty twenty six. We'll see where 116 00:05:37,560 --> 00:05:40,080 Speaker 1: it goes. I mean they give a big, big range out. 117 00:05:40,279 --> 00:05:43,040 Speaker 1: This is a very big deal. Must deportation is working 118 00:05:43,080 --> 00:05:46,960 Speaker 1: not only to remove criminal aliens here, but also to 119 00:05:46,960 --> 00:05:49,880 Speaker 1: push people to do it voluntarily so we don't have 120 00:05:49,960 --> 00:05:54,080 Speaker 1: to and it stops more illegals from coming. There was 121 00:05:54,120 --> 00:05:57,279 Speaker 1: a story out of the BBC which most Americans probably 122 00:05:57,279 --> 00:05:59,440 Speaker 1: did not read, but it is the feel good story 123 00:05:59,520 --> 00:06:02,920 Speaker 1: of the higher ice and mass deportation efforts. The BBC 124 00:06:03,000 --> 00:06:05,520 Speaker 1: had a story about a man from Hondura's name Ilias 125 00:06:05,600 --> 00:06:09,760 Speaker 1: Padilla Elios Padilla. He planned to come to the US illegally. Yes, 126 00:06:09,800 --> 00:06:12,400 Speaker 1: he knew about the laws, and he says he doesn't care. 127 00:06:12,680 --> 00:06:16,040 Speaker 1: He planned on breaking the law, paying human smugglers, the 128 00:06:16,080 --> 00:06:18,719 Speaker 1: worst people of the planet, to bring to the United 129 00:06:18,760 --> 00:06:22,960 Speaker 1: States illegally. The BBC reported quote, now though his plans 130 00:06:22,960 --> 00:06:27,160 Speaker 1: are on hold, the images of undocumented immigrants, undocumented illegal immigrants, 131 00:06:27,160 --> 00:06:30,200 Speaker 1: but undocument immigrants in major US cities being dragged away 132 00:06:30,240 --> 00:06:33,560 Speaker 1: by immigration and Customs and enforcement agents, their risking zip 133 00:06:33,600 --> 00:06:36,680 Speaker 1: tide having deterred at least one would be immigrant in 134 00:06:36,720 --> 00:06:39,320 Speaker 1: Central America room traveling north. I want to improve my 135 00:06:39,360 --> 00:06:42,359 Speaker 1: life condition because we have very little here, Ilias explains 136 00:06:42,360 --> 00:06:45,040 Speaker 1: as he drove around the city. Take this line of work. 137 00:06:45,080 --> 00:06:47,080 Speaker 1: For example, an uber drive in the US makes in 138 00:06:47,120 --> 00:06:49,360 Speaker 1: an hour what I do in a day. Like most 139 00:06:49,440 --> 00:06:52,440 Speaker 1: Houndoran immigrants, Elias says, the main aim reaching the US 140 00:06:52,440 --> 00:06:56,200 Speaker 1: would be sending remittances home, sending money that he makes 141 00:06:56,240 --> 00:06:59,240 Speaker 1: off the books home to Honduras out of the US economy. 142 00:06:59,560 --> 00:07:01,280 Speaker 1: But I seee what Trump is doing and this made 143 00:07:01,320 --> 00:07:03,200 Speaker 1: me think twice. He admits, I'm going to wait to 144 00:07:03,200 --> 00:07:06,760 Speaker 1: see if the change in government here brings, referring to 145 00:07:06,800 --> 00:07:10,000 Speaker 1: the recent presidential elections in Honduras. Hopefully things will improve. 146 00:07:10,320 --> 00:07:12,360 Speaker 1: He finishes the article by saying that his plans are 147 00:07:12,360 --> 00:07:13,720 Speaker 1: on a hold and he's going to wait to see 148 00:07:13,760 --> 00:07:16,520 Speaker 1: if a Democrat becomes president in twenty twenty eight so 149 00:07:16,600 --> 00:07:19,840 Speaker 1: he can break the law. Yes, we are always just 150 00:07:20,000 --> 00:07:23,920 Speaker 1: one presidential election away from people breaking into our country. Okay, 151 00:07:24,200 --> 00:07:25,880 Speaker 1: last story I want to break to you guys, and 152 00:07:25,920 --> 00:07:28,040 Speaker 1: it's not an immigration I know that this podcast has 153 00:07:28,080 --> 00:07:31,120 Speaker 1: become very immigration centric and focused in the last couple 154 00:07:31,160 --> 00:07:32,760 Speaker 1: of days. I know that, and I know a lot 155 00:07:32,760 --> 00:07:35,400 Speaker 1: of people like immigration conversations. But I promise I will 156 00:07:35,400 --> 00:07:38,600 Speaker 1: diversify this podcast next weekend the week after. It's just 157 00:07:38,680 --> 00:07:41,640 Speaker 1: been the story in everyone's mind, especially with Somalia and 158 00:07:41,680 --> 00:07:44,920 Speaker 1: the Ice agents and the Minnesota. But there's an interesting story, 159 00:07:44,960 --> 00:07:47,520 Speaker 1: an interesting poll that just came out. It's a political story. 160 00:07:48,200 --> 00:07:52,200 Speaker 1: The most exciting race in the entire country for governor 161 00:07:52,280 --> 00:07:53,640 Speaker 1: is happening right now in Michigan. 162 00:07:53,720 --> 00:07:54,440 Speaker 2: A pole came out. 163 00:07:54,480 --> 00:07:57,680 Speaker 1: It was done by the Glenn Gareff Group and was 164 00:07:57,680 --> 00:07:59,920 Speaker 1: released by the Detroit News and they say, who do 165 00:07:59,920 --> 00:08:02,640 Speaker 1: you plan on voting for governor next year? Now they 166 00:08:02,720 --> 00:08:07,520 Speaker 1: don't know, I'll makes sense. The Michigan governor's race is 167 00:08:07,760 --> 00:08:11,320 Speaker 1: very very dicey because there aren't two candidates running, there 168 00:08:11,320 --> 00:08:15,080 Speaker 1: are three. It's likely going to be Republican John James, 169 00:08:15,160 --> 00:08:16,800 Speaker 1: who is in the polls in the Lee with thirty 170 00:08:16,800 --> 00:08:20,520 Speaker 1: four percent, Democrat Joscelyn Benson with thirty two percent, an 171 00:08:20,520 --> 00:08:24,920 Speaker 1: independent Mike Duggan with twenty six percent. So the Democrat 172 00:08:25,000 --> 00:08:27,760 Speaker 1: Jocelyn Benson is currently the Secretary of State. She has 173 00:08:27,760 --> 00:08:29,920 Speaker 1: a primary two opponents, but she is a big thirty 174 00:08:29,960 --> 00:08:32,400 Speaker 1: six point lead so far in the polls, about the 175 00:08:32,440 --> 00:08:35,720 Speaker 1: same size that Congressman John James, the Republican has against 176 00:08:35,760 --> 00:08:38,760 Speaker 1: former Attorney General Mike Cox and former Speaker Tom Leonard. 177 00:08:38,920 --> 00:08:41,480 Speaker 1: Then there's Mike Dugham. He is the former three term 178 00:08:41,520 --> 00:08:43,960 Speaker 1: mayor of Detroit, a former Democrat who's been endorsed by 179 00:08:44,000 --> 00:08:47,760 Speaker 1: both Republicans like former Representative Dave Trott and Democrats like 180 00:08:47,840 --> 00:08:50,240 Speaker 1: Marshall Bullocks. She's a member of the Michigan State Board 181 00:08:50,240 --> 00:08:54,240 Speaker 1: of Education. He's also received union support. The Detroit Chamber 182 00:08:54,280 --> 00:08:57,480 Speaker 1: of Commerce is supporting him, which typically supports Republicans, and 183 00:08:57,520 --> 00:09:00,600 Speaker 1: the executive chairman of the forda motor company that's a 184 00:09:00,640 --> 00:09:03,959 Speaker 1: big deal in Michigan. He's got millions of dollars cash 185 00:09:04,000 --> 00:09:05,840 Speaker 1: on hand and is already running in the general. He 186 00:09:05,880 --> 00:09:08,319 Speaker 1: doesn't have a primary like the Democrat and Republican do. 187 00:09:08,880 --> 00:09:11,880 Speaker 1: And the last time that Glenn Garret Grew polled this race, 188 00:09:12,120 --> 00:09:14,880 Speaker 1: which was months ago, but it was Dugan had twenty 189 00:09:14,880 --> 00:09:17,560 Speaker 1: two percent support. Now he is twenty six percent in 190 00:09:17,600 --> 00:09:20,439 Speaker 1: a poll that is a four percent margin of errors. 191 00:09:20,480 --> 00:09:24,040 Speaker 1: So this race is razor close so far. The one 192 00:09:24,120 --> 00:09:26,800 Speaker 1: advantage that the Democrats have going into this election is 193 00:09:26,800 --> 00:09:31,480 Speaker 1: there's a massive fifteen point enthusiasm gap strong Democrats eighty 194 00:09:31,559 --> 00:09:34,200 Speaker 1: seven percent of them say they're definitely voting, compared to 195 00:09:34,240 --> 00:09:37,400 Speaker 1: seventy two percent of strong Republicans. So John James running 196 00:09:37,400 --> 00:09:39,640 Speaker 1: this selection, really needs to get those numbers up. I 197 00:09:39,679 --> 00:09:41,480 Speaker 1: am going to try to do a deep dive in 198 00:09:41,480 --> 00:09:43,600 Speaker 1: this race. I would love to interview these candidates. This 199 00:09:43,760 --> 00:09:47,200 Speaker 1: is a very exciting race because it's not very often 200 00:09:47,240 --> 00:09:49,600 Speaker 1: you have a third party candidate with high name idea. 201 00:09:49,640 --> 00:09:52,480 Speaker 1: Dugan actually is the highest name idea of anybody running 202 00:09:52,840 --> 00:09:56,600 Speaker 1: a very high name id, millions of dollars cash on hand, 203 00:09:56,679 --> 00:10:00,760 Speaker 1: access to a ballad, support from both Republicans and Democrats, 204 00:10:00,800 --> 00:10:04,240 Speaker 1: and union members and business associates. I mean, Duggan is 205 00:10:04,400 --> 00:10:07,240 Speaker 1: really a different kind of beast as far as third 206 00:10:07,280 --> 00:10:10,839 Speaker 1: party candidates go. It's extremely extremely rare you have such 207 00:10:10,880 --> 00:10:13,559 Speaker 1: a person. I think probably not since Angus king Ram 208 00:10:13,640 --> 00:10:17,080 Speaker 1: for governor of Maine have you seen such a unicorn 209 00:10:17,160 --> 00:10:20,280 Speaker 1: type candidate. So it's worth watching. I don't really know 210 00:10:20,360 --> 00:10:21,880 Speaker 1: exactly what he would believe in, what he wants to 211 00:10:21,880 --> 00:10:24,400 Speaker 1: do for Michigan. I'm not endorsing him, certainly, but I 212 00:10:24,480 --> 00:10:26,760 Speaker 1: just think that it's a fascinating race from a political 213 00:10:26,840 --> 00:10:30,200 Speaker 1: animal standpoint, so we'll see how it goes. Next up 214 00:10:30,280 --> 00:10:33,559 Speaker 1: is my conversation with Senator Eric Schmidt Missouri. It is fascinating. 215 00:10:33,600 --> 00:10:39,560 Speaker 1: Stay tuned. That's coming up next. Senator Eric Schmid is 216 00:10:39,720 --> 00:10:41,800 Speaker 1: represent the grace of a Missouri in the US sentence 217 00:10:41,800 --> 00:10:43,800 Speaker 1: since twenty twenty three. Before that, he's served as the 218 00:10:43,800 --> 00:10:47,280 Speaker 1: state's attorney general and treasurer. A jack of old trades 219 00:10:47,360 --> 00:10:49,120 Speaker 1: for Missouri. Thank you for being. 220 00:10:49,040 --> 00:10:50,440 Speaker 2: Here, Senator. Great to be with you. 221 00:10:50,679 --> 00:10:52,200 Speaker 1: I can probably say as a New Yorker, I have 222 00:10:52,240 --> 00:10:54,560 Speaker 1: been to Saint Louis and to Missouri many times. I 223 00:10:54,640 --> 00:10:57,120 Speaker 1: was actually in a car crash and ended up in 224 00:10:57,160 --> 00:10:59,640 Speaker 1: East Saint Louis and so I've had experiences in that state, 225 00:10:59,679 --> 00:11:00,160 Speaker 1: but it's. 226 00:11:00,000 --> 00:11:01,320 Speaker 2: A wonderful place. 227 00:11:01,760 --> 00:11:04,679 Speaker 1: Senator, you're working on a bill that seems to be 228 00:11:04,960 --> 00:11:07,360 Speaker 1: so very common sense that it's almost baffling how it 229 00:11:07,360 --> 00:11:10,320 Speaker 1: doesn't have a universal support. Your bill would look to 230 00:11:10,360 --> 00:11:14,520 Speaker 1: expand denaturalization process for illegal aliens who commit fraud. Can 231 00:11:14,520 --> 00:11:16,640 Speaker 1: you tell my audience in detail about the bill. 232 00:11:17,280 --> 00:11:21,120 Speaker 3: Yeah, there's really not been an effective way to do 233 00:11:21,160 --> 00:11:23,920 Speaker 3: this until now. And I think the fraud that we're 234 00:11:23,920 --> 00:11:26,920 Speaker 3: seeing in Minneapolis and this one of the Somali strongholds 235 00:11:27,440 --> 00:11:30,240 Speaker 3: is not exclusive there. I mean it's happening in other places. 236 00:11:30,240 --> 00:11:32,440 Speaker 3: You're seeing it in Maine in other places. I think 237 00:11:32,480 --> 00:11:34,800 Speaker 3: calls for a real response, not just a lot, not 238 00:11:34,880 --> 00:11:36,760 Speaker 3: just talk. And so I think there's a few things 239 00:11:36,760 --> 00:11:39,199 Speaker 3: that should happen. One is there should be real prosecutions, 240 00:11:39,800 --> 00:11:41,920 Speaker 3: and I think you're seeing that. I think you're seeing 241 00:11:42,000 --> 00:11:45,440 Speaker 3: those investigations that will lead to prosecutions. Also, I think 242 00:11:45,480 --> 00:11:49,240 Speaker 3: there need to be reforms on the front end of 243 00:11:49,320 --> 00:11:52,600 Speaker 3: how you actually receive these dollars, right, not like just 244 00:11:52,679 --> 00:11:54,560 Speaker 3: a wink and a nod, but you actually have to 245 00:11:54,640 --> 00:11:57,760 Speaker 3: demonstrate that they're real people at a place like this 246 00:11:57,880 --> 00:12:01,000 Speaker 3: before dollars ever flow. I think got Vessons taking that 247 00:12:01,080 --> 00:12:04,160 Speaker 3: very seriously. Within the administration, there's probably some things we 248 00:12:04,160 --> 00:12:08,360 Speaker 3: can do legislatively there. But I think thirdly here is 249 00:12:08,640 --> 00:12:10,040 Speaker 3: if you're going to do this, if you're going to 250 00:12:10,120 --> 00:12:12,640 Speaker 3: come to this country, become a citizen and then you 251 00:12:12,720 --> 00:12:15,240 Speaker 3: engage in this kind of fraudulent activity, I'm sorry, you 252 00:12:15,240 --> 00:12:17,800 Speaker 3: don't get to be a citizen anymore. You're denaturalized and 253 00:12:17,840 --> 00:12:19,760 Speaker 3: you're sent back home where you came from. That's it, 254 00:12:19,840 --> 00:12:22,040 Speaker 3: and so I think we should take a really strong 255 00:12:22,480 --> 00:12:25,600 Speaker 3: position on this move it. So what the legislation would 256 00:12:25,600 --> 00:12:28,120 Speaker 3: do is a ten year look back basically, so that 257 00:12:28,160 --> 00:12:30,840 Speaker 3: if that fraud happened anytime within that period of time 258 00:12:31,120 --> 00:12:33,520 Speaker 3: of you being a citizen, you can be denaturalized and 259 00:12:33,600 --> 00:12:35,760 Speaker 3: like I said, sent back home. It would also include 260 00:12:35,800 --> 00:12:39,280 Speaker 3: other felonies, you know, violent crimes, things like that too. 261 00:12:39,600 --> 00:12:42,360 Speaker 3: I think it would add more meaning to what it 262 00:12:42,400 --> 00:12:44,560 Speaker 3: means to become a citizen here, as opposed to the 263 00:12:44,600 --> 00:12:47,679 Speaker 3: taxpayers getting ripped off like we've seen in Minnesota. 264 00:12:47,720 --> 00:12:49,480 Speaker 1: So it would look all the way back to twenty 265 00:12:49,559 --> 00:12:52,440 Speaker 1: fifteen basically, since our dear Bob administration. 266 00:12:52,600 --> 00:12:55,199 Speaker 2: Wow, okay, yeah, yeah. 267 00:12:55,240 --> 00:12:58,600 Speaker 1: Obviously this issue of fraud has been amplified because of 268 00:12:58,640 --> 00:13:04,240 Speaker 1: the Somalians in Minnesota. Now, this legislation that you introduced 269 00:13:05,280 --> 00:13:07,760 Speaker 1: is part of what we're seeing a lot of we're 270 00:13:07,800 --> 00:13:11,199 Speaker 1: about to introduce rather, a lot of Republicans are introducing 271 00:13:11,240 --> 00:13:14,520 Speaker 1: some kind of variations on this. Is there like real 272 00:13:15,240 --> 00:13:18,880 Speaker 1: energy within the party to actually get something done, something 273 00:13:19,000 --> 00:13:20,000 Speaker 1: past Yeah. 274 00:13:20,000 --> 00:13:21,720 Speaker 3: I was in the Oval Office last week and spoke 275 00:13:21,760 --> 00:13:24,240 Speaker 3: to the President about it directly. He's you know, the 276 00:13:24,280 --> 00:13:28,240 Speaker 3: White House is supportive, Steven Miller is supportive. So I 277 00:13:28,240 --> 00:13:33,120 Speaker 3: think this vehicle yeah, right, right, But I think that's 278 00:13:33,160 --> 00:13:36,880 Speaker 3: important because you know, if you want to have real momentum, 279 00:13:37,240 --> 00:13:38,880 Speaker 3: you got to have a lot of alignment, and you've 280 00:13:38,880 --> 00:13:40,960 Speaker 3: got to take advantage of the opportunities that you have 281 00:13:41,040 --> 00:13:43,240 Speaker 3: when you have a White House, a House and the Senate. 282 00:13:43,559 --> 00:13:45,760 Speaker 3: And so I think that's what our intention is to 283 00:13:45,800 --> 00:13:50,199 Speaker 3: push this strongly, hopefully as a standalone bill and push 284 00:13:50,320 --> 00:13:53,400 Speaker 3: I just think we have to continue. There's been so 285 00:13:53,640 --> 00:13:57,120 Speaker 3: much discussion, and we might talk about some of these 286 00:13:57,120 --> 00:14:01,400 Speaker 3: other things too about illegal immigration, and rightfully, so, I 287 00:14:01,400 --> 00:14:04,320 Speaker 3: mean twenty million people came here illegally in a four 288 00:14:04,360 --> 00:14:07,640 Speaker 3: year period, President Trump has effectively closed the border. We 289 00:14:07,760 --> 00:14:09,960 Speaker 3: for the first time in fifty years, have a negative 290 00:14:09,960 --> 00:14:11,880 Speaker 3: net migration, which I think is a good thing. We're 291 00:14:11,880 --> 00:14:15,040 Speaker 3: deporting people, and what you're seeing now is native born 292 00:14:15,040 --> 00:14:19,239 Speaker 3: Americans are actually getting jobs as opposed to foreign born individuals, 293 00:14:19,280 --> 00:14:21,280 Speaker 3: which was all the job growth you saw in Biden's 294 00:14:21,280 --> 00:14:24,160 Speaker 3: for you. So all those things are positive, But we 295 00:14:24,240 --> 00:14:26,840 Speaker 3: have to do something about legal immigration and the abuses 296 00:14:26,880 --> 00:14:28,680 Speaker 3: that we've seen with legal immigration. And this is just 297 00:14:28,840 --> 00:14:30,720 Speaker 3: one part of it. So if you're gonna come here 298 00:14:30,760 --> 00:14:32,760 Speaker 3: and go through the process and lie and then commit 299 00:14:32,800 --> 00:14:35,480 Speaker 3: fraud and rip off taxpayers, you don't be good to 300 00:14:35,520 --> 00:14:36,560 Speaker 3: be a citizen anymore. 301 00:14:36,960 --> 00:14:39,000 Speaker 1: So what you know, what a lot of people are 302 00:14:39,080 --> 00:14:42,160 Speaker 1: curious about and they just don't know, is what is 303 00:14:42,200 --> 00:14:46,080 Speaker 1: the working relationship like between Republicans and Democrats In the 304 00:14:46,080 --> 00:14:48,640 Speaker 1: SID there's only one hundred of you. You obviously work 305 00:14:48,680 --> 00:14:51,000 Speaker 1: together for a longer periods of time in House members, 306 00:14:51,720 --> 00:14:53,800 Speaker 1: Do you guys talk to one another or are they 307 00:14:53,920 --> 00:14:57,120 Speaker 1: are any Democrats or even pro immigration willing to have 308 00:14:57,200 --> 00:14:58,520 Speaker 1: this kind of conversation? 309 00:15:00,000 --> 00:15:03,080 Speaker 3: I would well, I think that there are some issues 310 00:15:04,000 --> 00:15:06,560 Speaker 3: where you can work with Democrats on and a lot 311 00:15:06,560 --> 00:15:09,640 Speaker 3: of those issues are ones that I would say haven't 312 00:15:09,680 --> 00:15:13,280 Speaker 3: been as clear, don't have as clearly defined partisan lines 313 00:15:13,400 --> 00:15:17,040 Speaker 3: right wrong or indifferent right like. So let's take like 314 00:15:17,080 --> 00:15:21,360 Speaker 3: a crypto thing or in il in college sports like 315 00:15:21,400 --> 00:15:23,720 Speaker 3: those kinds of things, or you know, where it's not 316 00:15:24,680 --> 00:15:28,360 Speaker 3: really or daylight savings time like let's say whatever, you know, 317 00:15:28,560 --> 00:15:31,320 Speaker 3: things like that. Those are different kind of coalitions, some 318 00:15:31,360 --> 00:15:34,520 Speaker 3: of which are geographics, some of which you know, water issues. 319 00:15:34,560 --> 00:15:37,000 Speaker 3: You know, those don't necessarily break down red. 320 00:15:36,920 --> 00:15:37,800 Speaker 2: Jersey, blue Jersey. 321 00:15:38,200 --> 00:15:40,760 Speaker 3: I would say though that really as relates to immigration, 322 00:15:40,960 --> 00:15:43,080 Speaker 3: it probably falls in the camp that it's really hard 323 00:15:43,120 --> 00:15:45,600 Speaker 3: to find a lot of Democrats who are willing to 324 00:15:45,640 --> 00:15:48,960 Speaker 3: go down the road of the kind of reform Republicans 325 00:15:48,960 --> 00:15:51,480 Speaker 3: would want. A good example of this was, you know, 326 00:15:51,560 --> 00:15:55,080 Speaker 3: I guess it's two years ago now. It really kind 327 00:15:55,120 --> 00:15:57,400 Speaker 3: of was a fig leaf to get more money to Ukraine. 328 00:15:57,440 --> 00:16:00,520 Speaker 3: But there was this kind of quote unquote bipartisan negotiation 329 00:16:00,680 --> 00:16:04,840 Speaker 3: on immigration reform, and it was a bad deal, and 330 00:16:04,920 --> 00:16:07,800 Speaker 3: Chris Murphy was was kind of stringing our folks along. 331 00:16:08,480 --> 00:16:10,440 Speaker 3: It was a bad deal, would have made the problem worse. 332 00:16:10,800 --> 00:16:13,080 Speaker 3: And my contention was at the time because when I 333 00:16:13,080 --> 00:16:16,320 Speaker 3: was Attorney General, we sued, we had the Title forty 334 00:16:16,320 --> 00:16:18,320 Speaker 3: two lawsuit, we had to remain in Mexico lawsuit, and 335 00:16:18,360 --> 00:16:20,200 Speaker 3: we'd won for a while. So I knew what the 336 00:16:20,240 --> 00:16:23,080 Speaker 3: Democrats DNA was on this, which is they just they 337 00:16:23,120 --> 00:16:24,440 Speaker 3: don't believe in borders anymore. 338 00:16:24,480 --> 00:16:25,080 Speaker 2: That's the truth. 339 00:16:25,200 --> 00:16:29,360 Speaker 3: Like the core Democrat base now is an open borders crowd, 340 00:16:30,000 --> 00:16:32,760 Speaker 3: and that's why you're seeing this reaction to Ice. They 341 00:16:32,760 --> 00:16:35,360 Speaker 3: don't actually think we should enforce our immigration laws. So 342 00:16:35,400 --> 00:16:38,000 Speaker 3: that's a big gap. That's a funny, big gap. 343 00:16:37,840 --> 00:16:39,680 Speaker 1: Between what we want to do and where they're at. Yeah, 344 00:16:39,680 --> 00:16:42,040 Speaker 1: it's so funny. On Twitter, you'll see I'm say we 345 00:16:42,040 --> 00:16:44,320 Speaker 1: can enforce our immigration laws. That iced Okay, Well is 346 00:16:44,320 --> 00:16:46,520 Speaker 1: it the police? Is it the National Guard? Is that 347 00:16:46,600 --> 00:16:47,280 Speaker 1: the military? 348 00:16:47,760 --> 00:16:50,440 Speaker 3: You know they send a social worker in, you know, 349 00:16:51,640 --> 00:16:54,400 Speaker 3: to deconflict or you know, to de escalate or whatever 350 00:16:54,440 --> 00:16:58,640 Speaker 3: the BS is. It's just ridiculous. And by the way, 351 00:16:58,680 --> 00:17:01,480 Speaker 3: this is a pretty big shift. I mean you're seeing 352 00:17:01,480 --> 00:17:04,639 Speaker 3: stuff online now, things that even Obama said, certainly Bill Clinton, 353 00:17:05,000 --> 00:17:06,879 Speaker 3: these guys deported millions of people. 354 00:17:07,400 --> 00:17:08,640 Speaker 2: This wasn't controversial. 355 00:17:09,200 --> 00:17:13,119 Speaker 3: It's only controversial now because they have become radicalized, Like 356 00:17:13,359 --> 00:17:16,960 Speaker 3: there's this really weird whether it's a pure power play 357 00:17:17,040 --> 00:17:21,720 Speaker 3: for votes, or it's this weird toxic empathy, whatever it is, 358 00:17:22,280 --> 00:17:24,040 Speaker 3: something has changed pretty dramatically. 359 00:17:24,080 --> 00:17:26,520 Speaker 1: The people who were Orange Man bad that is. 360 00:17:26,600 --> 00:17:28,879 Speaker 3: Yeah, well, yeah, absolutely, Yeah. It's a reaction to Trump. 361 00:17:28,920 --> 00:17:32,040 Speaker 3: Everything's a reaction to Trump. And by the way, I 362 00:17:32,040 --> 00:17:33,879 Speaker 3: think that's one of the reasons they haven't hit rock 363 00:17:33,920 --> 00:17:37,760 Speaker 3: bottom yet as a party, because they really don't stand 364 00:17:37,800 --> 00:17:41,320 Speaker 3: for anything except opposing what Trump is for, and that's 365 00:17:41,400 --> 00:17:43,720 Speaker 3: not a great way to build a movement. 366 00:17:44,200 --> 00:17:47,040 Speaker 1: So yeah, there was a Washington Post poll right in 367 00:17:47,080 --> 00:17:49,639 Speaker 1: twenty fifteen in Obama's president I'm building a border wall, 368 00:17:49,920 --> 00:17:52,000 Speaker 1: and it got like something like forty five or fifty 369 00:17:52,040 --> 00:17:54,439 Speaker 1: percent of Democrats support, and then Trump proposed it like 370 00:17:54,680 --> 00:17:56,240 Speaker 1: a couple months later when announced is running, and it 371 00:17:56,280 --> 00:17:58,680 Speaker 1: felt like eleven and like it was literally just a 372 00:17:58,760 --> 00:18:01,960 Speaker 1: knee dark reaction. You also have another bill that you 373 00:18:02,119 --> 00:18:05,159 Speaker 1: put out that I'm massively in favor for, which is 374 00:18:05,200 --> 00:18:08,600 Speaker 1: taxing remittances for my audience, immigrants both legal and illegals, 375 00:18:08,760 --> 00:18:11,520 Speaker 1: over eighty five billion dollars out of the US economy 376 00:18:11,560 --> 00:18:14,440 Speaker 1: in remittances to foreign countries every year. Only one state 377 00:18:14,880 --> 00:18:17,520 Speaker 1: so far taxes it, which is just the state of Oklahoma. 378 00:18:17,640 --> 00:18:20,400 Speaker 1: How would your bill address this? What's the tax rate? 379 00:18:20,520 --> 00:18:21,399 Speaker 1: What would that look like? 380 00:18:21,960 --> 00:18:23,879 Speaker 2: Well, we were able to get successfully. 381 00:18:23,920 --> 00:18:25,879 Speaker 3: There was a lot of pushback, even though you and 382 00:18:25,920 --> 00:18:27,119 Speaker 3: I are on the same page, there was a lot 383 00:18:27,119 --> 00:18:28,960 Speaker 3: of pushback on this, but we were able to get 384 00:18:29,000 --> 00:18:31,199 Speaker 3: in the in the working class tax cut this summer 385 00:18:31,240 --> 00:18:34,159 Speaker 3: for the first time ever a remittance tax. It's one percent. 386 00:18:34,359 --> 00:18:37,919 Speaker 3: It's something it should be higher than that, because, I mean, 387 00:18:37,960 --> 00:18:39,680 Speaker 3: my contention is was a couple of reasons. There's a 388 00:18:39,720 --> 00:18:43,840 Speaker 3: fairness argument that's involved. But secondly, all these things that 389 00:18:43,880 --> 00:18:47,280 Speaker 3: are kind of a magnet for more, you know, people 390 00:18:47,320 --> 00:18:51,080 Speaker 3: to come here illegally or abuse the legal process. Right, 391 00:18:51,280 --> 00:18:53,840 Speaker 3: this is one of those magnets. It's in Mexico, by 392 00:18:53,880 --> 00:18:55,800 Speaker 3: the way, they don't like this at all because they 393 00:18:55,840 --> 00:18:58,000 Speaker 3: know a lot of their revenue that comes into their 394 00:18:58,880 --> 00:19:01,760 Speaker 3: into the into their count to spend in their economy 395 00:19:01,800 --> 00:19:04,159 Speaker 3: comes from the United States. I think it's like forty 396 00:19:04,200 --> 00:19:11,480 Speaker 3: percent of households in Somalia get you know, remittance dollars 397 00:19:11,520 --> 00:19:14,679 Speaker 3: from somewhere else, like in the country of Somalia. So 398 00:19:15,119 --> 00:19:17,680 Speaker 3: this diaspora that's around the world is sending money. The 399 00:19:17,720 --> 00:19:19,840 Speaker 3: amount of money that comes back to Somali is bigger 400 00:19:19,840 --> 00:19:23,880 Speaker 3: than their national budget. So you know, I just think that, look, 401 00:19:24,800 --> 00:19:27,560 Speaker 3: we ought to take away some of these weird incentives, 402 00:19:27,560 --> 00:19:29,520 Speaker 3: and a remittance tax is one way to do it. 403 00:19:29,520 --> 00:19:32,160 Speaker 1: It's almost certain I would I would guarantee that more 404 00:19:32,280 --> 00:19:35,480 Speaker 1: money goes from Minnesota to Somalia than to the Minnesota 405 00:19:35,480 --> 00:19:38,040 Speaker 1: tax dollars from from Somalians in Minnesota. Yeah. 406 00:19:38,160 --> 00:19:41,159 Speaker 3: Yeah, especially if you consider the fact that it's like 407 00:19:41,280 --> 00:19:43,720 Speaker 3: some crazy number of seventy plus percent or in some 408 00:19:43,760 --> 00:19:49,360 Speaker 3: sort of government benefits there Somali immigrants to Minneapolis or Minnesota. 409 00:19:49,400 --> 00:19:52,119 Speaker 3: It's one of the reasons why besn't the treasury sector, 410 00:19:52,160 --> 00:19:53,399 Speaker 3: I think is taking this seriously too. 411 00:19:53,480 --> 00:19:54,840 Speaker 2: He's saying that we're. 412 00:19:54,720 --> 00:19:57,800 Speaker 3: Gonna you can't you can't move remittance dollars out if 413 00:19:57,840 --> 00:19:58,960 Speaker 3: you're on public assistance. 414 00:19:59,080 --> 00:20:00,239 Speaker 2: I think that's a good reform too. 415 00:20:00,640 --> 00:20:03,119 Speaker 1: Now I question this all the time, how do you 416 00:20:03,359 --> 00:20:07,719 Speaker 1: how do you work around crypto and other non traditional 417 00:20:07,800 --> 00:20:11,280 Speaker 1: banking and monetary transactions. Is there a way? I don't 418 00:20:11,280 --> 00:20:13,040 Speaker 1: know if that's an answer, but is there a way? 419 00:20:13,119 --> 00:20:15,840 Speaker 3: No, that's a fair question because actually in the debate 420 00:20:15,880 --> 00:20:18,760 Speaker 3: about remittance text, if you were pushing back on it. 421 00:20:19,320 --> 00:20:22,600 Speaker 3: What I did here was Okay, if you get to 422 00:20:22,680 --> 00:20:25,280 Speaker 3: a certain number, and I don't know exactly what that 423 00:20:25,359 --> 00:20:29,240 Speaker 3: number is, like percentage wise, money might then start moving 424 00:20:30,520 --> 00:20:34,480 Speaker 3: a different way. And so maybe there is this balancing 425 00:20:34,520 --> 00:20:38,159 Speaker 3: of what you can actually tax, you know, uh, and 426 00:20:38,520 --> 00:20:40,840 Speaker 3: that percentage then will be lower than maybe what you 427 00:20:40,880 --> 00:20:44,240 Speaker 3: and I would want. But you're capturing more dollars because 428 00:20:44,240 --> 00:20:47,120 Speaker 3: it's not moving to crypto or something else. So it's 429 00:20:47,119 --> 00:20:49,919 Speaker 3: a fair it's a fair discussion point. And uh, I 430 00:20:49,960 --> 00:20:54,320 Speaker 3: don't pretend to know exactly where that perfect Uh you 431 00:20:54,359 --> 00:20:56,920 Speaker 3: know where the why access meets the X acts. I 432 00:20:56,960 --> 00:21:00,000 Speaker 3: don't know exactly, but I do think from a policy perspective, 433 00:21:00,040 --> 00:21:02,960 Speaker 3: we should do something here, and I think we're taking steps. 434 00:21:03,240 --> 00:21:05,280 Speaker 1: You know, you've spent a lot of time talking and 435 00:21:05,359 --> 00:21:07,760 Speaker 1: thinking about immigration, and you've gotten a lot of heat 436 00:21:07,720 --> 00:21:10,280 Speaker 1: from Progresses. Mother Jones said you were the most dangerous 437 00:21:10,280 --> 00:21:11,280 Speaker 1: man in the US Senate. 438 00:21:13,400 --> 00:21:16,520 Speaker 2: I thought that is now framed in my office headline. 439 00:21:17,440 --> 00:21:20,080 Speaker 1: I would be proud of that, as someone has been 440 00:21:20,080 --> 00:21:21,360 Speaker 1: called a lot of things by lefties. 441 00:21:21,400 --> 00:21:26,240 Speaker 2: But what is if? What if you. So I have 442 00:21:26,240 --> 00:21:26,840 Speaker 2: two questions. 443 00:21:26,920 --> 00:21:30,119 Speaker 1: One is how many legal immigrants do you think should 444 00:21:30,119 --> 00:21:33,080 Speaker 1: come to the US every year? And just give me 445 00:21:33,119 --> 00:21:35,879 Speaker 1: a ballpark if you have that number in your head. 446 00:21:36,359 --> 00:21:39,840 Speaker 1: And what is your vision for a functional immigration policy, 447 00:21:39,840 --> 00:21:42,240 Speaker 1: because you can't have a twenty first century conny with 448 00:21:42,280 --> 00:21:44,760 Speaker 1: a mid twentieth century immigration policy. 449 00:21:45,280 --> 00:21:47,400 Speaker 3: Yeah, and I think that what happened in the back 450 00:21:47,440 --> 00:21:51,720 Speaker 3: half of the twentieth century has proven to be not 451 00:21:51,800 --> 00:21:53,920 Speaker 3: a wise decision. So I don't know exactly what the 452 00:21:54,000 --> 00:21:57,320 Speaker 3: number is, but certainly too many right now. You put 453 00:21:57,359 --> 00:22:00,119 Speaker 3: me in the camp of saying what we saw all 454 00:22:00,160 --> 00:22:04,000 Speaker 3: over the last four years should inform how we handle 455 00:22:04,040 --> 00:22:06,199 Speaker 3: these issues moving forward. And so I said, you know, 456 00:22:06,240 --> 00:22:09,720 Speaker 3: from the illegal immigration perspective that's gotten so much of 457 00:22:09,760 --> 00:22:12,600 Speaker 3: the attention, and rightfully so, because there were so many 458 00:22:12,680 --> 00:22:15,520 Speaker 3: And that was the point. And the Democrats take on 459 00:22:15,600 --> 00:22:19,879 Speaker 3: all of this was make the problem so big that 460 00:22:19,960 --> 00:22:24,000 Speaker 3: the only real solution then is amnesty. That's their play, like, 461 00:22:24,080 --> 00:22:26,240 Speaker 3: if you really want to boil it down, was you 462 00:22:26,320 --> 00:22:28,680 Speaker 3: make it big enough that the only thing you could 463 00:22:28,720 --> 00:22:30,680 Speaker 3: do then is throw your hands up and say, well, 464 00:22:30,760 --> 00:22:34,160 Speaker 3: I guess I don't know path the citizenship for everybody, 465 00:22:34,240 --> 00:22:36,280 Speaker 3: and that's the wrong way to do it. So I 466 00:22:36,280 --> 00:22:39,120 Speaker 3: think we have a president now that's very seriously committed 467 00:22:39,200 --> 00:22:45,520 Speaker 3: and I support this to meet mass migration with mass deportations. Okay, 468 00:22:45,760 --> 00:22:48,600 Speaker 3: that's what's happening right now, and it's a shock to 469 00:22:48,640 --> 00:22:51,399 Speaker 3: the system of that has been put up not just 470 00:22:51,440 --> 00:22:54,760 Speaker 3: by Democrats, but some Republicans who were perfectly happy with 471 00:22:54,880 --> 00:22:59,680 Speaker 3: importing low wage workers to you know, displace working class 472 00:22:59,680 --> 00:23:02,080 Speaker 3: of a Maria in places that I grew up and so 473 00:23:02,160 --> 00:23:04,800 Speaker 3: I think, and then getting to the second point of 474 00:23:04,800 --> 00:23:07,840 Speaker 3: it on from the legal perspective, the legal immigration side, 475 00:23:07,960 --> 00:23:10,399 Speaker 3: let's just say two programs in particular that are that 476 00:23:10,520 --> 00:23:13,119 Speaker 3: vastly need to be performed or eliminated. The h H 477 00:23:13,200 --> 00:23:17,920 Speaker 3: one B program, which is sold as, hey, this gets 478 00:23:17,960 --> 00:23:20,000 Speaker 3: some of the best, the best around the world people 479 00:23:20,040 --> 00:23:22,160 Speaker 3: we don't have in this country, and let's get them 480 00:23:22,160 --> 00:23:24,560 Speaker 3: here to do jobs that we don't have enough people for. 481 00:23:24,680 --> 00:23:27,119 Speaker 3: That's been a lie. That's just not true. When you 482 00:23:27,160 --> 00:23:33,000 Speaker 3: see companies like Microsoft laying off thousands of workers and 483 00:23:33,160 --> 00:23:36,480 Speaker 3: replacing them through the H one B program of foreign workers. 484 00:23:36,720 --> 00:23:39,800 Speaker 3: The only difference between those workers is the foreign workers 485 00:23:39,840 --> 00:23:43,600 Speaker 3: are more compliant because they're here as guests essentially and 486 00:23:43,640 --> 00:23:46,719 Speaker 3: can be sent away if they're not compliant and they're cheaper. 487 00:23:47,480 --> 00:23:49,840 Speaker 3: That's I'm not interested in that. Then that's that's a 488 00:23:49,880 --> 00:23:53,439 Speaker 3: program that has been widely abused. And then the OPT program, 489 00:23:53,440 --> 00:23:57,040 Speaker 3: which is effectively a way for universities become visa mills 490 00:23:57,880 --> 00:24:01,119 Speaker 3: and they bring in foreign students and guess what the 491 00:24:01,200 --> 00:24:04,560 Speaker 3: university's benefit because they pay full freight, they pay a 492 00:24:04,640 --> 00:24:07,040 Speaker 3: higher tuition number, but they come in and then they're 493 00:24:07,080 --> 00:24:09,439 Speaker 3: able to work on that visa for a year or 494 00:24:09,480 --> 00:24:11,800 Speaker 3: two years if it's a STEM program. But guess what, 495 00:24:11,880 --> 00:24:15,720 Speaker 3: the employer doesn't have to pay taxes, right, And that's 496 00:24:15,760 --> 00:24:19,800 Speaker 3: the use. So you're displacing American students and you're displacing 497 00:24:19,800 --> 00:24:22,720 Speaker 3: American workers. And I just don't think that we've thought 498 00:24:22,760 --> 00:24:26,040 Speaker 3: about this kind of in this way in a very 499 00:24:26,080 --> 00:24:28,560 Speaker 3: long time in this country. And so part of what 500 00:24:28,600 --> 00:24:30,119 Speaker 3: I'm doing is tried up. And you, I know you 501 00:24:30,119 --> 00:24:33,040 Speaker 3: are too sort to move that debate along because I 502 00:24:33,040 --> 00:24:35,240 Speaker 3: think we've been lied to. We've been lied to by 503 00:24:35,240 --> 00:24:39,879 Speaker 3: people who've benefited from the system, this kind of managerial 504 00:24:39,920 --> 00:24:44,760 Speaker 3: elite that has no real sympathy or empathy for people 505 00:24:44,880 --> 00:24:47,960 Speaker 3: whose jobs in the name of you know, globalism or 506 00:24:48,119 --> 00:24:51,600 Speaker 3: quote unquote free trade, their jobs were sent to China. 507 00:24:52,440 --> 00:24:54,439 Speaker 3: And then when they were looking the double whammy. Then 508 00:24:54,440 --> 00:24:56,720 Speaker 3: when they were looking for jobs after those jobs, when 509 00:24:56,720 --> 00:25:00,280 Speaker 3: somewhere else they're met with a flood of leag or 510 00:25:00,320 --> 00:25:03,240 Speaker 3: illegal immigrants that undercut their wages. That's not good for America. 511 00:25:03,280 --> 00:25:05,240 Speaker 3: That's not good for Americans. And so we talk about 512 00:25:05,240 --> 00:25:08,360 Speaker 3: America first. That's what I mean is taking on those 513 00:25:08,440 --> 00:25:08,960 Speaker 3: kinds of issues. 514 00:25:08,960 --> 00:25:10,600 Speaker 1: Well, I mean, in nineteen sixty five, when they did 515 00:25:10,600 --> 00:25:13,480 Speaker 1: their Immigration Act, everything they predicted what happened did not happen. 516 00:25:13,840 --> 00:25:15,760 Speaker 1: Numbers were wildly larger, and I would ask, I would 517 00:25:15,760 --> 00:25:17,080 Speaker 1: say one other thing to you is just look at 518 00:25:17,160 --> 00:25:20,080 Speaker 1: chain migration. You know, there's a conversation happening about Indian 519 00:25:20,119 --> 00:25:22,760 Speaker 1: immigration right now. We have such successful and successful in 520 00:25:22,760 --> 00:25:26,080 Speaker 1: Indian immigrants in this country compared to the nation of India, obviously, 521 00:25:26,119 --> 00:25:28,439 Speaker 1: but that's because chain migration has not hit yet. When 522 00:25:28,440 --> 00:25:31,280 Speaker 1: people are bringing over their deadbeat second cousins and entire 523 00:25:31,400 --> 00:25:34,040 Speaker 1: villages like they did with Mexico. The first Mexican immigrants 524 00:25:34,080 --> 00:25:36,800 Speaker 1: were very successful and it was a down you know, 525 00:25:37,119 --> 00:25:40,240 Speaker 1: downward trend because of chain migration to famerlyifcation. 526 00:25:40,400 --> 00:25:40,560 Speaker 2: Yeah. 527 00:25:40,600 --> 00:25:43,240 Speaker 1: I one, I have one other question to ask you 528 00:25:43,400 --> 00:25:46,639 Speaker 1: the you know you were attorney general. A big problem 529 00:25:46,640 --> 00:25:50,960 Speaker 1: for this administration to successfully carry out their immigrations has 530 00:25:51,000 --> 00:25:54,760 Speaker 1: been district court judges. Right, They've been really trying hard 531 00:25:55,040 --> 00:25:57,680 Speaker 1: to sit there and stop the administration. And obviously there's 532 00:25:57,720 --> 00:26:00,280 Speaker 1: a big you know, there's a stop gap based by 533 00:26:00,280 --> 00:26:04,200 Speaker 1: the Supreme Court and by higher court judges, but nonprofits 534 00:26:04,200 --> 00:26:08,199 Speaker 1: ability to district shop and shop for liberal judges who 535 00:26:08,240 --> 00:26:11,680 Speaker 1: will judge just as I what says now I thank 536 00:26:11,760 --> 00:26:15,440 Speaker 1: the name Joonesburg or Goensburg, Bodsburg Bosburg. 537 00:26:17,920 --> 00:26:19,520 Speaker 2: Is there is there. 538 00:26:19,400 --> 00:26:22,760 Speaker 1: Anything that the legislature can do to try to bring 539 00:26:22,760 --> 00:26:25,360 Speaker 1: in because it doesn't feel like we're having equal branches 540 00:26:25,400 --> 00:26:28,520 Speaker 1: of government At some point, it feels like these district 541 00:26:28,600 --> 00:26:31,560 Speaker 1: court judges are equal to the President of the United States, 542 00:26:31,600 --> 00:26:32,360 Speaker 1: which is insane. 543 00:26:33,080 --> 00:26:35,040 Speaker 3: Yeah, So a lot to unpack there. So let's take 544 00:26:35,080 --> 00:26:40,000 Speaker 3: like the broadest lens here in zoom out one. What 545 00:26:40,040 --> 00:26:43,359 Speaker 3: you saw early on in the Trump administration Trump to 546 00:26:43,480 --> 00:26:48,600 Speaker 3: forty seven was that they were doing these nationwide injunctions. 547 00:26:48,840 --> 00:26:51,880 Speaker 3: So you'd have one district court judge have an injunction 548 00:26:51,920 --> 00:26:54,439 Speaker 3: that would affect the entire government or the entire foreign 549 00:26:54,440 --> 00:26:56,199 Speaker 3: policy of the United States of America. So you have 550 00:26:56,240 --> 00:26:59,040 Speaker 3: some district court judge in New Mexico that's deciding the 551 00:26:59,080 --> 00:27:03,679 Speaker 3: foreign policy. That's it's totally ridiculous. To the Supreme Court's credit, 552 00:27:04,880 --> 00:27:07,879 Speaker 3: about seven months ago, they weighed in and said, we 553 00:27:08,000 --> 00:27:09,879 Speaker 3: see the abuse on these station one in junctions. The 554 00:27:09,880 --> 00:27:13,240 Speaker 3: district courts were limiting basically your authority to the issues 555 00:27:13,320 --> 00:27:15,639 Speaker 3: and the parties in front of you. So that is 556 00:27:15,640 --> 00:27:18,080 Speaker 3: a big win. But early on that was getting a 557 00:27:18,080 --> 00:27:20,919 Speaker 3: lot of attention, and rightfully so, because it was at 558 00:27:21,000 --> 00:27:24,960 Speaker 3: least temporarily blocking some of Trump's big initiatives. So that 559 00:27:25,000 --> 00:27:28,560 Speaker 3: one has been kind of that's a good result. So 560 00:27:28,640 --> 00:27:32,560 Speaker 3: what do you do now? You see real abuse in 561 00:27:33,240 --> 00:27:36,520 Speaker 3: the randomness of these assignments, and so like when I 562 00:27:36,600 --> 00:27:39,760 Speaker 3: was Attorney general in Missouri, you know when you go 563 00:27:39,840 --> 00:27:43,040 Speaker 3: to the appellet court there's a bunch of different judges 564 00:27:43,040 --> 00:27:45,719 Speaker 3: that go on a three judge panel. Well, there can 565 00:27:45,760 --> 00:27:48,760 Speaker 3: be abuse if that's not random. Who you know who 566 00:27:48,880 --> 00:27:51,280 Speaker 3: ends up on the panel, and then the random assignment 567 00:27:51,320 --> 00:27:54,040 Speaker 3: of cases to particular judges. And so I do think 568 00:27:54,080 --> 00:27:55,919 Speaker 3: there's there's some reform that needs to happen. We've got 569 00:27:55,960 --> 00:27:58,320 Speaker 3: some legislation to make sure it's truly random, that this 570 00:27:58,400 --> 00:28:01,760 Speaker 3: is not being not being rigged. But for somebody like Boseberg, 571 00:28:01,840 --> 00:28:05,399 Speaker 3: in particular Bosberg, I've called for his impeachment, and I 572 00:28:05,400 --> 00:28:07,439 Speaker 3: don't say that lightly. You're not going to hear me. 573 00:28:07,640 --> 00:28:11,440 Speaker 3: It's like, impeach everybody. But this guy in particular gave 574 00:28:11,480 --> 00:28:14,120 Speaker 3: a speech to a bunch of judges before he ever 575 00:28:14,160 --> 00:28:15,879 Speaker 3: had a case from Trump, saying, this guy isn't going 576 00:28:15,960 --> 00:28:17,560 Speaker 3: to follow the law. He's not going to listen to 577 00:28:17,600 --> 00:28:20,639 Speaker 3: court cases. That's wildly inappropriate for a judge to say. 578 00:28:21,119 --> 00:28:24,520 Speaker 3: Later that week, then while he's on vacation, he somehow 579 00:28:24,960 --> 00:28:28,879 Speaker 3: gets the turn the planes around case that out to 580 00:28:28,920 --> 00:28:31,240 Speaker 3: be investigated. There's just the odds of him getting these 581 00:28:31,320 --> 00:28:33,680 Speaker 3: number of high profile cases when he's not the assignment 582 00:28:33,800 --> 00:28:37,040 Speaker 3: judge that day is just it's not possible. But he 583 00:28:37,119 --> 00:28:39,280 Speaker 3: was getting these cases, and then the Supreme Court slapp 584 00:28:39,320 --> 00:28:41,560 Speaker 3: him down and said you had no jurisdiction to tell 585 00:28:41,560 --> 00:28:43,760 Speaker 3: those planes to turn around. Yet he still wants to 586 00:28:43,800 --> 00:28:47,200 Speaker 3: have these weird contempt hearings for Justice Department lawyers. So 587 00:28:47,680 --> 00:28:50,000 Speaker 3: there's a lot of abuse that's happening. I would say, 588 00:28:50,400 --> 00:28:55,240 Speaker 3: like you put all that in one pot. The truth is, though, 589 00:28:55,520 --> 00:28:58,480 Speaker 3: that as these cases by and large have made their 590 00:28:58,480 --> 00:29:01,520 Speaker 3: way from those district courts, cases with some temporary losses 591 00:29:01,520 --> 00:29:03,680 Speaker 3: along the way, as they've made their way to the 592 00:29:03,720 --> 00:29:07,600 Speaker 3: appellate cases, whether it's personnel and programming decisions or even 593 00:29:07,600 --> 00:29:10,440 Speaker 3: on the immigration front, President Trump and they get to 594 00:29:10,440 --> 00:29:12,880 Speaker 3: the Supreme Court, by and large has been pretty successful. 595 00:29:13,080 --> 00:29:16,040 Speaker 3: Their record is pretty successful. But there's certainly a frustration 596 00:29:16,120 --> 00:29:18,600 Speaker 3: when you see that district court judge and a temporary 597 00:29:18,600 --> 00:29:21,560 Speaker 3: restraining order for something that makes total sense and looks legal, 598 00:29:21,920 --> 00:29:23,920 Speaker 3: and you're like, why is that happening? Well, you have 599 00:29:23,960 --> 00:29:26,880 Speaker 3: a radical judge that Biden put in at the end 600 00:29:26,920 --> 00:29:29,520 Speaker 3: of his term and it's a temporary roadblock. 601 00:29:29,640 --> 00:29:30,480 Speaker 2: Is I guess the best. 602 00:29:30,280 --> 00:29:32,800 Speaker 1: Way to discisy excuse my ignorance, But who picks the 603 00:29:32,840 --> 00:29:35,480 Speaker 1: court cases and who would assign a judge a court case? 604 00:29:35,480 --> 00:29:35,880 Speaker 2: I don't know. 605 00:29:36,080 --> 00:29:38,080 Speaker 3: Yeah, So if you're coming in like for a let's 606 00:29:38,080 --> 00:29:42,840 Speaker 3: say something bad is going to happen as well, let's 607 00:29:42,840 --> 00:29:45,440 Speaker 3: just take when I was Attorney General and you would 608 00:29:45,480 --> 00:29:48,280 Speaker 3: file a case like we sued China, we sued. We 609 00:29:48,360 --> 00:29:52,080 Speaker 3: sued on the vaccine mandates. You're going to randomly get 610 00:29:52,120 --> 00:29:55,880 Speaker 3: assigned to judge. That's how it's supposed to work, especially 611 00:29:55,880 --> 00:29:59,040 Speaker 3: on what's in an emergency docket. So like there's one 612 00:29:59,080 --> 00:30:02,040 Speaker 3: assignment judge that day and that's where the case goes. 613 00:30:02,360 --> 00:30:05,760 Speaker 3: What Boseberg was doing, it appears as chief Judge was 614 00:30:05,880 --> 00:30:08,360 Speaker 3: manipulating that process. So he got a lot of high 615 00:30:08,400 --> 00:30:11,520 Speaker 3: profile cases not the assignment judge for that day. 616 00:30:11,840 --> 00:30:13,560 Speaker 2: So that is some abuse that can happen there. 617 00:30:13,720 --> 00:30:16,440 Speaker 3: And then also like for example, this is a lot 618 00:30:16,480 --> 00:30:18,680 Speaker 3: in the weeds, and so hopefully everybody's not falling asleep 619 00:30:18,720 --> 00:30:18,880 Speaker 3: with this. 620 00:30:18,960 --> 00:30:21,480 Speaker 2: But now this is interesting. Yeah, but like. 621 00:30:21,440 --> 00:30:23,920 Speaker 3: Let's say when I was Attorney General, the Eighth Circuit 622 00:30:23,960 --> 00:30:26,920 Speaker 3: is pretty conservative. There's all but one of the members 623 00:30:26,960 --> 00:30:29,719 Speaker 3: on that Court of Appeals is a Republican appointee. There 624 00:30:29,720 --> 00:30:33,120 Speaker 3: was only one Democrat. Somehow on all of our really 625 00:30:33,160 --> 00:30:36,440 Speaker 3: politically sensitive cases. The one Democrat ended on a three 626 00:30:36,520 --> 00:30:40,760 Speaker 3: judge panel. That's statistically impossible. And so we've raised that issue. 627 00:30:40,760 --> 00:30:42,720 Speaker 3: And now that clerk who was in charge of that's 628 00:30:42,760 --> 00:30:43,280 Speaker 3: been fired. 629 00:30:44,600 --> 00:30:45,080 Speaker 2: Are doing this. 630 00:30:45,560 --> 00:30:48,320 Speaker 3: Yeah, so in some of the staff that's there that 631 00:30:48,400 --> 00:30:49,800 Speaker 3: works for that clerk, you know what I mean, the 632 00:30:49,840 --> 00:30:51,840 Speaker 3: clerks tied to the one Democrat judge. There's some of 633 00:30:51,840 --> 00:30:55,600 Speaker 3: that stuff that's there, and really the judiciary has to 634 00:30:55,640 --> 00:30:59,720 Speaker 3: police itself to fix this or that's when we come 635 00:30:59,720 --> 00:31:02,200 Speaker 3: in on something like impeachment with Bosberg. So we're actually 636 00:31:02,200 --> 00:31:07,520 Speaker 3: calling for the lead judge and the DC Circuit to 637 00:31:07,600 --> 00:31:11,320 Speaker 3: discipline Bosberg. But you know, if they don't do that 638 00:31:11,360 --> 00:31:13,160 Speaker 3: and it doesn't look like they're making any movement on it, 639 00:31:13,200 --> 00:31:16,080 Speaker 3: we should impeach Bosberg because it can't. Impeachment can't just 640 00:31:16,080 --> 00:31:18,640 Speaker 3: be a scarecrow. It shouldn't be used in every instance, 641 00:31:18,640 --> 00:31:20,240 Speaker 3: and it shouldn't be used, by the way, just because 642 00:31:20,240 --> 00:31:23,680 Speaker 3: you disagree with an opinion. But when you see a 643 00:31:23,760 --> 00:31:26,080 Speaker 3: judge who's no longer wearing a black robe and is 644 00:31:26,080 --> 00:31:29,040 Speaker 3: wearing a blue jersey, it's time to do something about it. 645 00:31:29,600 --> 00:31:31,960 Speaker 1: Senator, Where can people go to read more about what 646 00:31:32,000 --> 00:31:34,880 Speaker 1: you're working on, legislation you're doing, and anything that's going on, 647 00:31:34,960 --> 00:31:36,360 Speaker 1: especially to Missouri listeners. 648 00:31:36,480 --> 00:31:40,080 Speaker 3: Yeah, so I'm pretty active on social media. Eric underscore 649 00:31:40,120 --> 00:31:43,280 Speaker 3: Schmidt shmi TT. That's my personal we also official Senate 650 00:31:44,200 --> 00:31:47,080 Speaker 3: Senate our sen Eric Smith's a Senator Eric Schmidt, and 651 00:31:47,120 --> 00:31:49,840 Speaker 3: then Facebook, Instagram. We're pretty active and we try to 652 00:31:49,880 --> 00:31:51,480 Speaker 3: keep people informed. We try to keep it a little 653 00:31:51,520 --> 00:31:54,120 Speaker 3: light too, so it's not all not all business all 654 00:31:54,160 --> 00:31:57,240 Speaker 3: the time, but we've got some pretty good threads, good content. 655 00:31:57,640 --> 00:31:59,400 Speaker 3: People can follow us and then of course they can 656 00:31:59,440 --> 00:32:01,360 Speaker 3: go to the you know, my senate web page. 657 00:32:01,360 --> 00:32:01,600 Speaker 2: Two. 658 00:32:01,800 --> 00:32:03,720 Speaker 1: All right, thank you coming coming on this podcast. I 659 00:32:03,720 --> 00:32:04,479 Speaker 1: really appreciate it. 660 00:32:04,520 --> 00:32:04,960 Speaker 2: Anytime. 661 00:32:08,240 --> 00:32:10,120 Speaker 1: Now it's time for the ask Me Anything segment. If 662 00:32:10,120 --> 00:32:12,280 Speaker 1: you want a part of the Ask Me Anything segment, 663 00:32:12,360 --> 00:32:15,240 Speaker 1: email me Ryan at Numbers Game Podcast dot com. That's 664 00:32:15,280 --> 00:32:18,400 Speaker 1: Ryan at numbers Plural gamepodcast dot com. I actually went 665 00:32:18,440 --> 00:32:20,280 Speaker 1: through all the emails. We've got nothing in the dockets. 666 00:32:20,280 --> 00:32:22,360 Speaker 1: So if you email me after this episode, I will 667 00:32:22,400 --> 00:32:24,000 Speaker 1: absolutely be able to get to it next week. I 668 00:32:24,040 --> 00:32:26,640 Speaker 1: look forward to hearing from you. It's a really interesting 669 00:32:26,680 --> 00:32:28,680 Speaker 1: and important thing. And some guys, some people ask the 670 00:32:28,680 --> 00:32:31,800 Speaker 1: most fascinating question. This question comes from my buddy Greg 671 00:32:31,840 --> 00:32:34,640 Speaker 1: and New Jersey's ring me before Greg writes, I'm glad 672 00:32:34,640 --> 00:32:36,600 Speaker 1: you do a podcast on Minni Apple is shooting, and 673 00:32:36,600 --> 00:32:40,000 Speaker 1: I wanted to compare the Republican response, especially Jdevance's response, 674 00:32:40,040 --> 00:32:42,840 Speaker 1: which I believe is completely dehumanizing from someone that calls 675 00:32:42,880 --> 00:32:45,600 Speaker 1: himself a Christian as a proud supporter of ICE and 676 00:32:45,640 --> 00:32:47,920 Speaker 1: Trump's removal across the country. I also want to say 677 00:32:47,920 --> 00:32:50,640 Speaker 1: that I love the woman who was killed, the mother 678 00:32:51,000 --> 00:32:53,640 Speaker 1: I guess, Renee Good, and I love the ICE officers 679 00:32:53,640 --> 00:32:55,040 Speaker 1: around the country, and I hope they are safe and 680 00:32:55,040 --> 00:32:57,080 Speaker 1: the protesters are safe as well. I can love some 681 00:32:57,200 --> 00:32:59,400 Speaker 1: like Ashley Babbitt and the officer who killed her on 682 00:32:59,440 --> 00:33:02,720 Speaker 1: January six. If we learn anything from Charlie Kirk's life 683 00:33:03,160 --> 00:33:07,520 Speaker 1: is life and love is the only response to division 684 00:33:07,680 --> 00:33:09,960 Speaker 1: in that we have in our country. That's I mean, 685 00:33:10,000 --> 00:33:11,040 Speaker 1: that's very profound. 686 00:33:11,080 --> 00:33:11,360 Speaker 2: Greg. 687 00:33:11,600 --> 00:33:15,200 Speaker 1: As far as you know, look, I said on this podcast, 688 00:33:15,200 --> 00:33:17,080 Speaker 1: we should pray for rene soul. If you are a 689 00:33:17,160 --> 00:33:20,160 Speaker 1: Christian and you're catholic ing me, I think it's very 690 00:33:20,240 --> 00:33:22,400 Speaker 1: important to look at her as a mom as to 691 00:33:22,760 --> 00:33:25,239 Speaker 1: someone say, Okay, I don't know how you ended up 692 00:33:25,280 --> 00:33:26,760 Speaker 1: in this place. I don't know how you ender this 693 00:33:26,800 --> 00:33:28,720 Speaker 1: place in your life. I never knew you, but I 694 00:33:28,760 --> 00:33:33,280 Speaker 1: can feel compassion and sympathy certainly for your loved ones 695 00:33:33,720 --> 00:33:37,000 Speaker 1: and hope that somebody learns from your life and doesn't 696 00:33:37,000 --> 00:33:40,440 Speaker 1: make the same mistake. I didn't read Jadvance's comments, so 697 00:33:40,480 --> 00:33:42,680 Speaker 1: I don't know what he exactly said. I've been been 698 00:33:42,760 --> 00:33:46,600 Speaker 1: a very busy week, but I will say that when 699 00:33:46,600 --> 00:33:50,920 Speaker 1: it comes to these sorts of high profile deaths where 700 00:33:50,960 --> 00:33:54,680 Speaker 1: a political football is in the middle of it, people 701 00:33:54,880 --> 00:33:57,440 Speaker 1: do lose their sense of humanity. We saw that with 702 00:33:57,560 --> 00:33:59,520 Speaker 1: Charlie Kirk, we saw that with Ashley Babbit, we saw 703 00:33:59,520 --> 00:34:04,360 Speaker 1: that with George And there are moments where politics has 704 00:34:04,440 --> 00:34:06,440 Speaker 1: to not be the most important thing in your life. 705 00:34:06,480 --> 00:34:09,880 Speaker 1: And if you feel like you are losing your sense 706 00:34:09,960 --> 00:34:13,759 Speaker 1: of humanity when politics is just red team, blue team 707 00:34:13,800 --> 00:34:17,080 Speaker 1: and you can see people behind it, it is important 708 00:34:17,120 --> 00:34:19,160 Speaker 1: to take a step back. I will say this, and 709 00:34:19,200 --> 00:34:20,840 Speaker 1: I don't like talking about religion that much because I 710 00:34:20,840 --> 00:34:23,320 Speaker 1: don't want to sound preachy. This is my own experience. 711 00:34:23,360 --> 00:34:26,239 Speaker 1: I'm not telling anyone else what to say, do or believe. Right, 712 00:34:27,120 --> 00:34:29,440 Speaker 1: there are times I have very negative thoughts and very 713 00:34:29,480 --> 00:34:33,040 Speaker 1: bad thoughts about people. And it is only when I 714 00:34:33,280 --> 00:34:36,399 Speaker 1: really take a step back and think of everybody as 715 00:34:36,920 --> 00:34:41,239 Speaker 1: being a spiritual creature, someone who has a soul, someone 716 00:34:41,239 --> 00:34:43,440 Speaker 1: that was made in the image and likeness of God 717 00:34:44,480 --> 00:34:47,920 Speaker 1: is seen as an equal in his eyes that it 718 00:34:48,080 --> 00:34:51,279 Speaker 1: takes me takes a step back from my ugliness, from 719 00:34:51,320 --> 00:34:53,719 Speaker 1: my personal ugliness, where I sit there and say that's 720 00:34:53,760 --> 00:34:55,879 Speaker 1: not what you should think. You're not made to think 721 00:34:55,960 --> 00:34:59,480 Speaker 1: like that, and I can breathe take a step back 722 00:34:59,560 --> 00:35:02,000 Speaker 1: and see someone else in the same footing as me, 723 00:35:02,239 --> 00:35:03,960 Speaker 1: who I just happened to disagree with or I think 724 00:35:03,960 --> 00:35:07,000 Speaker 1: made a bad decision. That's perfectly I think, healthy normal 725 00:35:07,120 --> 00:35:10,360 Speaker 1: when we see somebody who and on both sides of 726 00:35:10,360 --> 00:35:13,040 Speaker 1: the aisle, we see it's a lot with a lot 727 00:35:13,080 --> 00:35:15,560 Speaker 1: with leftists who I don't think have personal religion. But 728 00:35:15,880 --> 00:35:18,200 Speaker 1: we see this with some right wingers too, who maybe 729 00:35:18,239 --> 00:35:21,480 Speaker 1: have personal religion and they don't necessarily exercise it in 730 00:35:21,480 --> 00:35:25,080 Speaker 1: a healthy way. That they can't there's so much hate 731 00:35:25,120 --> 00:35:28,680 Speaker 1: and violent ugliness in those kinds of conversations that they 732 00:35:28,760 --> 00:35:31,640 Speaker 1: can't let any of that go, and they say the 733 00:35:31,680 --> 00:35:34,560 Speaker 1: worst kinds of things about people. So if you find 734 00:35:34,600 --> 00:35:39,960 Speaker 1: yourself in really having deeply negative thoughts about somebody, I 735 00:35:40,000 --> 00:35:42,879 Speaker 1: think that in those moments, it is the most important time, 736 00:35:42,920 --> 00:35:45,560 Speaker 1: even though it is sometimes the hardest time to take 737 00:35:45,600 --> 00:35:49,400 Speaker 1: that breath and to realize them as a child of 738 00:35:49,440 --> 00:35:51,160 Speaker 1: God and as a creature, even if they don't see 739 00:35:51,200 --> 00:35:53,520 Speaker 1: themselves like that. Even if they don't see you like that, 740 00:35:53,640 --> 00:35:56,040 Speaker 1: even if they think of you as their enemy, your 741 00:35:56,080 --> 00:35:58,040 Speaker 1: fellow American is not your enemy. They may be your 742 00:35:58,080 --> 00:36:01,719 Speaker 1: political adversary, but they're never your enemy, and it is 743 00:36:01,800 --> 00:36:04,720 Speaker 1: important to sit there and to remember that in those moments. 744 00:36:04,719 --> 00:36:07,160 Speaker 1: So Greg, thank you for this question, and thank you 745 00:36:07,200 --> 00:36:08,719 Speaker 1: for making me think about it because I think it 746 00:36:08,760 --> 00:36:09,360 Speaker 1: is important. 747 00:36:09,560 --> 00:36:11,080 Speaker 2: Thank you guys for listening to this podcast. 748 00:36:11,160 --> 00:36:13,360 Speaker 1: If you like this podcast, please like and subscribe on 749 00:36:13,400 --> 00:36:15,680 Speaker 1: the iHeartRadio app, Apple podcast YouTube. 750 00:36:15,840 --> 00:36:18,440 Speaker 2: Wherever you get this podcast, please watch it on YouTube. 751 00:36:18,440 --> 00:36:20,839 Speaker 1: I'm so excited that this YouTube channel is growing and 752 00:36:20,880 --> 00:36:23,080 Speaker 1: I will talk to you guys next week. 753 00:36:23,239 --> 00:36:24,040 Speaker 2: Have a great weekend.