1 00:00:03,960 --> 00:00:06,360 Speaker 1: Welcome back to a numbers game with Ryan Gardowski. This 2 00:00:06,480 --> 00:00:11,000 Speaker 1: episode today is unfortunately not on the happiest topic. For 3 00:00:11,080 --> 00:00:13,840 Speaker 1: a while, I had been hearing that there's this quiet 4 00:00:13,840 --> 00:00:16,520 Speaker 1: push to get President Trump to backpedal on his calls 5 00:00:16,520 --> 00:00:19,919 Speaker 1: for mass deportations. They were too cruel. It would hurt people, 6 00:00:20,120 --> 00:00:23,000 Speaker 1: or heard his reputation with Hispanic voters. It would sour 7 00:00:23,079 --> 00:00:26,000 Speaker 1: his poll numbers with American people, It would hurt the economy. 8 00:00:26,200 --> 00:00:29,080 Speaker 1: The constant fear of rotting fruit in the fields was 9 00:00:29,200 --> 00:00:32,000 Speaker 1: plagued politicians for decades. You know, no, no, no, you 10 00:00:32,000 --> 00:00:34,120 Speaker 1: can't take away our illegal labor. We need them. Think 11 00:00:34,120 --> 00:00:36,960 Speaker 1: of the lemons. All of those things were now haunting 12 00:00:37,000 --> 00:00:41,320 Speaker 1: President Trump. As if places like Japan were importing a 13 00:00:41,400 --> 00:00:45,520 Speaker 1: million Mexicans a year to pick rice patties, we absolutely 14 00:00:45,840 --> 00:00:49,480 Speaker 1: could not, under any circumstance lose our illegal labor. This 15 00:00:49,560 --> 00:00:52,680 Speaker 1: is what has been emphasized by Trump by a number 16 00:00:52,720 --> 00:00:57,120 Speaker 1: of sources, right from big agriculture, in the hospitality industry especially, 17 00:00:57,360 --> 00:01:00,480 Speaker 1: but the Chamber of Commerce has been very involved, and 18 00:01:00,520 --> 00:01:05,040 Speaker 1: according to several sources, it's been by both Senate Republicans 19 00:01:05,400 --> 00:01:09,200 Speaker 1: and some celebrities. A few days ago, I was on 20 00:01:09,240 --> 00:01:11,840 Speaker 1: a call with somebody who was very well tapped into 21 00:01:11,880 --> 00:01:15,880 Speaker 1: the White House, and he said to me in the conversation, 22 00:01:16,240 --> 00:01:18,319 Speaker 1: you know, it's not all Brooke Rowlinds. He actually said 23 00:01:18,319 --> 00:01:21,040 Speaker 1: it was not Brooke Rowlins at all. And the source 24 00:01:21,040 --> 00:01:23,080 Speaker 1: said to me, don't put too much blame on her. 25 00:01:23,120 --> 00:01:25,279 Speaker 1: And he was not a Brooke Rowins fan. The source 26 00:01:25,319 --> 00:01:29,240 Speaker 1: he said Joe Rogan had met with the President and 27 00:01:29,319 --> 00:01:32,679 Speaker 1: had emphasized the President that he should not be doing 28 00:01:32,720 --> 00:01:35,319 Speaker 1: these raids at construction sites, that these were just people 29 00:01:35,360 --> 00:01:37,440 Speaker 1: showing up for work and it would be harmful. And 30 00:01:37,480 --> 00:01:39,680 Speaker 1: I don't know if Joe Rogan has any like investments 31 00:01:39,720 --> 00:01:41,759 Speaker 1: in a construction business or anything like that, or it's 32 00:01:41,880 --> 00:01:43,640 Speaker 1: just because he saw the videos online. I have no 33 00:01:43,760 --> 00:01:46,640 Speaker 1: clue whatsoever. But Joe Rogan was the one sitting there 34 00:01:46,680 --> 00:01:49,840 Speaker 1: and saying that to Trump and leaving a very very 35 00:01:49,880 --> 00:01:52,040 Speaker 1: big impression. Now I had heard this, and then right 36 00:01:52,080 --> 00:01:55,160 Speaker 1: afterwards I went on the Vince Colignies radio show and 37 00:01:55,400 --> 00:01:56,840 Speaker 1: I said it up there, and I didn't say for 38 00:01:56,880 --> 00:01:58,480 Speaker 1: this podcast. I should have saved it for this podcast. 39 00:01:58,520 --> 00:02:02,040 Speaker 1: But I almost unbelievable. I couldn't believe that. I also 40 00:02:02,120 --> 00:02:05,600 Speaker 1: heard that his daughter Ivanka was also making calls to 41 00:02:05,640 --> 00:02:08,240 Speaker 1: sit there in Paul's deportations that they were too cruel. 42 00:02:08,600 --> 00:02:11,600 Speaker 1: President Trump said in a speech as well, I'm just 43 00:02:11,639 --> 00:02:14,160 Speaker 1: adding all the people together. So it's the Chamber of Commerce, 44 00:02:14,240 --> 00:02:18,160 Speaker 1: and it's the agriculture industry and the hospitality industry, and 45 00:02:18,280 --> 00:02:21,480 Speaker 1: Joe Rogan and Ivanka, he said. And this has been 46 00:02:21,520 --> 00:02:23,880 Speaker 1: wildly reported. So I do believe this is true that 47 00:02:23,960 --> 00:02:28,760 Speaker 1: Agricultural Secretary Broke Rollins, who has been for mass immigration 48 00:02:29,000 --> 00:02:32,679 Speaker 1: and amnesty for well over a decade, was giving him, 49 00:02:32,840 --> 00:02:35,280 Speaker 1: was giving him the word that we had to stop 50 00:02:35,320 --> 00:02:37,440 Speaker 1: these raids on farmers. We had to start these raids 51 00:02:37,440 --> 00:02:39,720 Speaker 1: on meat packing, packing industry, we had to stop the 52 00:02:39,800 --> 00:02:44,920 Speaker 1: raids on hotels and hospitality industry. According to Axios, Rollins 53 00:02:45,040 --> 00:02:47,880 Speaker 1: went to Trump without the knowledge of either Stephen Miller 54 00:02:48,120 --> 00:02:52,239 Speaker 1: or Susie Wilds, which infuriated the two. This is this 55 00:02:52,320 --> 00:02:56,080 Speaker 1: is how people, by the way, in Trump's orbit, or 56 00:02:56,120 --> 00:02:59,639 Speaker 1: who have access to Trump's orbit, get around the guardrails. 57 00:02:59,639 --> 00:03:02,360 Speaker 1: I tell you a little story. Last year, I was 58 00:03:02,400 --> 00:03:05,480 Speaker 1: twenty twenty four, So last year, early last year, someone 59 00:03:05,760 --> 00:03:08,239 Speaker 1: well known in politics. When you inane, you would have 60 00:03:08,280 --> 00:03:10,600 Speaker 1: definitely if you don't know who he is. You would 61 00:03:10,600 --> 00:03:13,919 Speaker 1: have heard him, heard of him. He wanted to get 62 00:03:14,040 --> 00:03:16,760 Speaker 1: his boyfriend, which no one knows that they were dating 63 00:03:16,760 --> 00:03:19,560 Speaker 1: at the time. His boyfriend an endorsement from Trump, who 64 00:03:19,639 --> 00:03:23,239 Speaker 1: was running for Congress. Allegedly they had had a meeting 65 00:03:23,440 --> 00:03:26,760 Speaker 1: just the two of them, and Trump got him all wild, 66 00:03:26,880 --> 00:03:30,000 Speaker 1: riled up, got him all angry at certain people, certain 67 00:03:30,040 --> 00:03:33,679 Speaker 1: people that were being backed by his boyfriend's opponent being 68 00:03:33,760 --> 00:03:38,840 Speaker 1: backed by other people in that race. Got Trump very angry, 69 00:03:39,200 --> 00:03:42,280 Speaker 1: and then made the pitch for the endorsement and got 70 00:03:42,320 --> 00:03:46,000 Speaker 1: Trump to post on truth Social immediately, because once it's 71 00:03:46,000 --> 00:03:48,800 Speaker 1: on truth Social, it's as good as gold. He's not 72 00:03:48,960 --> 00:03:53,200 Speaker 1: going to backpedal. This happens so often in Trump world 73 00:03:53,240 --> 00:03:55,640 Speaker 1: that I've heard of so many times in Trump were 74 00:03:56,160 --> 00:03:58,840 Speaker 1: either before he was president in twenty fifteen, then when 75 00:03:58,840 --> 00:04:01,160 Speaker 1: he was president the first term, then in the mid 76 00:04:01,280 --> 00:04:04,080 Speaker 1: years those four years he wasn't president, And still to 77 00:04:04,320 --> 00:04:06,760 Speaker 1: this day they know if they get him saying something 78 00:04:06,840 --> 00:04:09,960 Speaker 1: on the Internet, it is then of record, and then 79 00:04:10,000 --> 00:04:14,720 Speaker 1: to backpedal makes it so much harder. Did Rollins meet 80 00:04:14,760 --> 00:04:17,920 Speaker 1: with him privately without Susie and Stephen saying anything, and 81 00:04:17,960 --> 00:04:20,960 Speaker 1: then puts in the outand truth social I don't know 82 00:04:21,120 --> 00:04:23,919 Speaker 1: for a fact it's been reported in Axios, but it 83 00:04:24,200 --> 00:04:29,880 Speaker 1: follows the long history of how people work around any 84 00:04:30,480 --> 00:04:33,919 Speaker 1: you know, America first types that are in his orbit 85 00:04:34,880 --> 00:04:38,159 Speaker 1: and that try to promote the agenda that he ran 86 00:04:38,200 --> 00:04:41,919 Speaker 1: on in twenty sixteen and still today. According to that 87 00:04:42,000 --> 00:04:45,719 Speaker 1: same report in Acxio, Stephen Miller Rollins wanted to go further. 88 00:04:46,080 --> 00:04:51,239 Speaker 1: She wanted a visa basically for illegal farm labor to 89 00:04:51,320 --> 00:04:53,919 Speaker 1: get a visa if they went back to their home country, 90 00:04:53,960 --> 00:04:55,440 Speaker 1: if they did a backpedal, they went back to their 91 00:04:55,440 --> 00:04:57,839 Speaker 1: home country, they went to Mexico, El Salvador, Ecuador, whatever 92 00:04:58,000 --> 00:04:59,719 Speaker 1: got and then they came back to the country, they 93 00:04:59,760 --> 00:05:03,080 Speaker 1: would get a visa for legal status as if they're 94 00:05:03,080 --> 00:05:06,159 Speaker 1: a legal labor. Apparently Miller put a squash to that 95 00:05:06,520 --> 00:05:08,840 Speaker 1: and just made sure that that wasn't going to happen. 96 00:05:09,000 --> 00:05:14,560 Speaker 1: There's also pockets of establishment conservatives sitting there and pushing 97 00:05:14,600 --> 00:05:17,119 Speaker 1: this to him. Maybe not in phone calls in the meetings, 98 00:05:17,160 --> 00:05:19,200 Speaker 1: although they may be, but definitely in the media, because 99 00:05:19,200 --> 00:05:21,680 Speaker 1: I've seen them. People like Eric Bowling, who was on 100 00:05:21,800 --> 00:05:24,560 Speaker 1: Fox and was on Newsmax, who's has a relationship with 101 00:05:24,560 --> 00:05:28,320 Speaker 1: the president. Sean Spicer, his first press secretary, has been 102 00:05:28,360 --> 00:05:32,360 Speaker 1: on to Way constantly saying, this is the time Republicans 103 00:05:32,600 --> 00:05:36,080 Speaker 1: get to pass an amnesty. And the Senate Republicans who 104 00:05:36,120 --> 00:05:39,560 Speaker 1: for decades have been teetering up this idea of we're 105 00:05:39,560 --> 00:05:41,479 Speaker 1: going to get something, We're going to give something to 106 00:05:41,760 --> 00:05:43,480 Speaker 1: you know, the Chamber of Commerce, and to all of 107 00:05:43,520 --> 00:05:47,320 Speaker 1: our donors. The Lindsey Grahams, the Bill Cassidy's, the Tom Tillis's, 108 00:05:47,360 --> 00:05:51,360 Speaker 1: the James Langford's, they are all getting ready to go. 109 00:05:51,680 --> 00:05:54,800 Speaker 1: They are all saying, this is our moment, we can 110 00:05:54,920 --> 00:05:58,480 Speaker 1: do this, and they're not afraid of the Republican voters. 111 00:05:58,520 --> 00:06:01,120 Speaker 1: If Trump gives the okay, if Trump gives the okay 112 00:06:01,279 --> 00:06:03,160 Speaker 1: in a year, in three years and five years, Wheny're 113 00:06:03,200 --> 00:06:05,720 Speaker 1: running for re election and the deal is done, they 114 00:06:05,760 --> 00:06:07,080 Speaker 1: could sit there and tell the voters, I was just 115 00:06:07,080 --> 00:06:09,080 Speaker 1: falling orders. Do you hate the president? Now you don't 116 00:06:09,120 --> 00:06:10,560 Speaker 1: hate the president, so you can't aim me for doing 117 00:06:10,640 --> 00:06:14,000 Speaker 1: that for backpenlly on everything. Now, on the other side, 118 00:06:14,080 --> 00:06:16,040 Speaker 1: you have a lot of people like my friend Ann Coulter, 119 00:06:16,080 --> 00:06:18,640 Speaker 1: you have Laura Ingram, Jack so Big, Charlie Kirk, Steve 120 00:06:18,680 --> 00:06:21,720 Speaker 1: Bannon and Tucker Carlson sitting there and saying, this is 121 00:06:21,760 --> 00:06:23,839 Speaker 1: a warning sign. You can't do this. You have to 122 00:06:23,920 --> 00:06:28,000 Speaker 1: do mass deportations. You have to do what you promised. 123 00:06:28,279 --> 00:06:31,400 Speaker 1: President Trump, for his part, has been kind of all 124 00:06:31,440 --> 00:06:34,960 Speaker 1: over the issue. He's talked about pausing the raids, then 125 00:06:35,000 --> 00:06:39,320 Speaker 1: the administration restarted. Now he's talking about doing selective enforcement. 126 00:06:39,720 --> 00:06:42,840 Speaker 1: It's kind of a bit everywhere. Maybe he's floating an 127 00:06:42,839 --> 00:06:46,000 Speaker 1: idea to see what the most positive and negative reactions 128 00:06:46,040 --> 00:06:49,800 Speaker 1: will be. Now, for my knowledge, current agricultural deportations are 129 00:06:49,839 --> 00:06:52,479 Speaker 1: still ongoing. They haven't all been frozen. There was a 130 00:06:52,520 --> 00:06:56,080 Speaker 1: case just late last week where a marijuana farm, which 131 00:06:56,080 --> 00:06:58,760 Speaker 1: does count as agriculture, a marijuana farm, they head over 132 00:06:58,880 --> 00:07:01,599 Speaker 1: I think one hundred legal aliens working on it, including 133 00:07:01,680 --> 00:07:05,360 Speaker 1: children from my knowledge from what I've read, that were rated. 134 00:07:05,480 --> 00:07:07,600 Speaker 1: It was rated literally until last week. I know it's 135 00:07:07,600 --> 00:07:10,200 Speaker 1: a marijuana farm, but it still counts as agriculture. So 136 00:07:10,520 --> 00:07:14,000 Speaker 1: that did happen. And on June tenth, the Department of 137 00:07:14,240 --> 00:07:17,360 Speaker 1: Labor announced that President Trump had created the Office of 138 00:07:17,480 --> 00:07:21,880 Speaker 1: Immigration Policy, which was a quote red tape cutting one 139 00:07:21,920 --> 00:07:25,840 Speaker 1: stop shop to help employers get faster approval for temporary 140 00:07:25,880 --> 00:07:29,760 Speaker 1: work visas for non citizen labor. That would suggest to 141 00:07:29,920 --> 00:07:34,280 Speaker 1: me about trying to work within the system as it stands, right, 142 00:07:34,600 --> 00:07:37,320 Speaker 1: because what we have currently in our system is we 143 00:07:37,400 --> 00:07:40,160 Speaker 1: have in agricultural visa. It's the H two a visa. 144 00:07:40,320 --> 00:07:42,560 Speaker 1: It's a limitless visa. There's no caps to it. You 145 00:07:42,600 --> 00:07:45,120 Speaker 1: can It's one of the few visas like tourist visas, 146 00:07:45,400 --> 00:07:48,040 Speaker 1: that there are no caps. Endless amount of people can 147 00:07:48,040 --> 00:07:50,280 Speaker 1: come in and work in farms. It's not like there's 148 00:07:50,320 --> 00:07:54,120 Speaker 1: a set number. So if they're trying to make farmers 149 00:07:54,360 --> 00:07:56,840 Speaker 1: go through the legal system, and if I guess if 150 00:07:56,840 --> 00:07:59,320 Speaker 1: there's growth in the legal system, it will give a 151 00:07:59,360 --> 00:08:01,559 Speaker 1: sign to Trump, Look what I've given you an easy 152 00:08:01,560 --> 00:08:03,440 Speaker 1: way to get them. Maybe he's going to waive some 153 00:08:03,480 --> 00:08:06,880 Speaker 1: of the rules or fines or restrictions or not restrictions, 154 00:08:06,880 --> 00:08:09,960 Speaker 1: but like you know, forty five day, sixty day permit laws, whatever, 155 00:08:10,240 --> 00:08:12,920 Speaker 1: in order to sit there and get agricultural labor. But 156 00:08:12,960 --> 00:08:15,360 Speaker 1: it seems like he's sitting there and going to lean 157 00:08:15,520 --> 00:08:19,000 Speaker 1: more heavily into the current legal system. I don't think 158 00:08:19,000 --> 00:08:22,960 Speaker 1: an amnesty the way that Republican voters have thought about 159 00:08:22,960 --> 00:08:25,600 Speaker 1: it for years, which is citizenship is on the table. 160 00:08:25,920 --> 00:08:29,240 Speaker 1: But any time you do not enforce the laws, it 161 00:08:29,320 --> 00:08:32,240 Speaker 1: is an amnesty. If I was speeding, if I was 162 00:08:32,280 --> 00:08:35,240 Speaker 1: going forty in a twenty five or fifty five in 163 00:08:35,320 --> 00:08:37,880 Speaker 1: a forty or whatever, I would have every right to 164 00:08:37,880 --> 00:08:40,280 Speaker 1: get pulled over. Well, that's the thing about laws, And 165 00:08:40,280 --> 00:08:43,720 Speaker 1: this is why American people have so been so kicked 166 00:08:44,120 --> 00:08:48,360 Speaker 1: around about trusting the government. Is because there's one set 167 00:08:48,360 --> 00:08:51,360 Speaker 1: of rule for the working class, for the middle class, 168 00:08:51,360 --> 00:08:53,400 Speaker 1: for the upper middle class, and even for the lower 169 00:08:53,480 --> 00:08:55,960 Speaker 1: upper class, and then there's another set of rule for 170 00:08:56,360 --> 00:08:59,480 Speaker 1: the pe deities of the world, or the illegal immigrants 171 00:08:59,480 --> 00:09:02,080 Speaker 1: of the world, or the very very well connected of 172 00:09:02,080 --> 00:09:04,960 Speaker 1: the world, or the very very under well connected, as 173 00:09:05,040 --> 00:09:08,760 Speaker 1: long as the cheap labor they do helps the well connected. 174 00:09:09,040 --> 00:09:10,960 Speaker 1: It seems that way to a lot of people, which 175 00:09:11,000 --> 00:09:13,240 Speaker 1: is why you need to constantly enforce the law. And 176 00:09:13,280 --> 00:09:16,080 Speaker 1: here's the truth of it. Right when you apply for 177 00:09:16,160 --> 00:09:19,760 Speaker 1: a legal visa farm lab with visa an H two 178 00:09:19,800 --> 00:09:22,320 Speaker 1: a visa, there's all sorts of requirements, like you have 179 00:09:22,360 --> 00:09:24,920 Speaker 1: to pay a certain type of wage or prevailing wage. 180 00:09:25,040 --> 00:09:26,880 Speaker 1: You have to make sure that those wages won't hurt 181 00:09:26,880 --> 00:09:30,200 Speaker 1: American workers. You need to provide free housing for your workers. 182 00:09:30,280 --> 00:09:33,240 Speaker 1: You need to provide subsized transportation to and from the 183 00:09:33,240 --> 00:09:35,520 Speaker 1: farm for your workers. It's not a lot of things, 184 00:09:35,760 --> 00:09:38,240 Speaker 1: but it's you know, it's something, it's something there. If 185 00:09:38,280 --> 00:09:40,280 Speaker 1: you go through the illegal way, you don't have to 186 00:09:40,280 --> 00:09:43,120 Speaker 1: provide anything. So when a meet someone working in the 187 00:09:43,120 --> 00:09:46,720 Speaker 1: meat pop boxing and packing industry gets his arm cut 188 00:09:46,760 --> 00:09:49,360 Speaker 1: off for unsafe safety standards and he's only got paid 189 00:09:49,400 --> 00:09:51,560 Speaker 1: five dollars an hour, Well when he goes to the 190 00:09:51,559 --> 00:09:54,600 Speaker 1: hospital for that, for the emergency room, who picks up 191 00:09:54,600 --> 00:09:55,000 Speaker 1: that bill? 192 00:09:55,280 --> 00:09:55,560 Speaker 2: You do? 193 00:09:55,760 --> 00:09:58,560 Speaker 1: The taxpayer? Does I do? Who picks up all the 194 00:09:58,600 --> 00:10:02,360 Speaker 1: bills for everything illegal aliens use? From the prisons that 195 00:10:02,400 --> 00:10:05,240 Speaker 1: many of them fill, to the schools their children go to, 196 00:10:05,520 --> 00:10:07,960 Speaker 1: From the roads that they use that fill with potholes. Eventually, 197 00:10:08,040 --> 00:10:10,520 Speaker 1: as they have wear and tear all of those things, 198 00:10:10,520 --> 00:10:12,920 Speaker 1: the car accidents you know that they end up getting 199 00:10:13,160 --> 00:10:16,040 Speaker 1: into sometimes. Who pays for all of it? We do. 200 00:10:16,440 --> 00:10:19,320 Speaker 1: That's what illegal immigration is. It is a form of 201 00:10:19,360 --> 00:10:23,440 Speaker 1: socialism where the profits are personalized and all the core 202 00:10:23,640 --> 00:10:27,440 Speaker 1: costs are socialized. The suckers sit there and pay for 203 00:10:27,600 --> 00:10:31,800 Speaker 1: every for these few corporations to get immensely immensely wealthy. Now, 204 00:10:31,920 --> 00:10:35,120 Speaker 1: it's also very important to remember that most illegal aliens 205 00:10:35,160 --> 00:10:39,000 Speaker 1: working in the US illegally are committing multiple felons, including 206 00:10:39,040 --> 00:10:41,360 Speaker 1: and most importantly, identity theft. It's the number one, and 207 00:10:41,440 --> 00:10:44,000 Speaker 1: document fraud is the number two. Probably let alone doing 208 00:10:44,040 --> 00:10:46,679 Speaker 1: the jobs like Americans otherwise would do in certain industries 209 00:10:47,000 --> 00:10:49,760 Speaker 1: or farm work that could be mechanized, that could machines 210 00:10:49,800 --> 00:10:53,600 Speaker 1: could produce more cheaply and produce larger quantities of food 211 00:10:53,640 --> 00:10:57,600 Speaker 1: that would actually decrease grocery prices. That they're doing, those 212 00:10:57,960 --> 00:11:01,640 Speaker 1: illegal aliens so often in or in a situation where 213 00:11:01,640 --> 00:11:05,360 Speaker 1: they provide fake information to farm worker, to farmers, to 214 00:11:05,679 --> 00:11:09,679 Speaker 1: a large corporations that own farms, to meat processing industries. 215 00:11:09,840 --> 00:11:13,120 Speaker 1: By relying on cheap foreign labor, you are allowing farmers 216 00:11:13,240 --> 00:11:17,319 Speaker 1: who otherwise would mechanize, to produce less food at the 217 00:11:17,360 --> 00:11:20,640 Speaker 1: greater costs to the American citizen. In the last few years, 218 00:11:20,640 --> 00:11:24,840 Speaker 1: here are a few examples of illegal aliens causing problems 219 00:11:24,880 --> 00:11:27,760 Speaker 1: for American citizens working on farms. They were working in 220 00:11:27,840 --> 00:11:31,679 Speaker 1: agriculture but using identity theft. A healthcare provider was forced 221 00:11:31,679 --> 00:11:36,000 Speaker 1: to deny medical necessary prescriptions to a victim in Pennsylvania 222 00:11:36,120 --> 00:11:38,400 Speaker 1: because his identity was stolen by someone working at the 223 00:11:38,400 --> 00:11:42,959 Speaker 1: Green Valley Foods. A disabled victim in Texas was unable 224 00:11:43,000 --> 00:11:46,120 Speaker 1: to work struggled to get their Social Security disability payments 225 00:11:46,240 --> 00:11:50,120 Speaker 1: because a different illegal alien was fraudtionently using their identities 226 00:11:50,280 --> 00:11:53,000 Speaker 1: at the Glen Valley Foods. Two illegal aliens committing to 227 00:11:53,200 --> 00:11:57,160 Speaker 1: at one industry, the IRS requested. A victim from Colorado 228 00:11:57,320 --> 00:12:00,200 Speaker 1: repaid more than five thousand dollars after their income was 229 00:12:00,240 --> 00:12:05,240 Speaker 1: falsely increased during an illegal alien using their stolen identity. 230 00:12:05,440 --> 00:12:07,280 Speaker 1: That also happened at Glen Valley Foods. By the way, 231 00:12:07,280 --> 00:12:09,720 Speaker 1: that's three in a row. A full time nursing student 232 00:12:09,720 --> 00:12:12,640 Speaker 1: in Missouri lost their college tuition assistance because it was 233 00:12:12,720 --> 00:12:16,800 Speaker 1: fraudulently reported that they earned too much money. The investigation 234 00:12:16,880 --> 00:12:19,839 Speaker 1: feel that an illegal alien was using their Social Security 235 00:12:19,920 --> 00:12:23,240 Speaker 1: number for employment, so they lost their college assistant. And 236 00:12:23,280 --> 00:12:26,200 Speaker 1: a victim in California was working for nearly fifteen years 237 00:12:26,480 --> 00:12:29,200 Speaker 1: to regain their identity after being financially damaged by an 238 00:12:29,200 --> 00:12:33,079 Speaker 1: illegal alien working in agriculture and they stole their identity. 239 00:12:33,360 --> 00:12:36,000 Speaker 1: That is the thing that no one talks about. All 240 00:12:36,040 --> 00:12:38,880 Speaker 1: these people are just you know, wonderfully here they're all 241 00:12:38,880 --> 00:12:41,760 Speaker 1: doing the work, and they're just you know, they're you know, 242 00:12:41,880 --> 00:12:44,480 Speaker 1: angels in the field doing everything for us. Yes, some 243 00:12:44,520 --> 00:12:46,440 Speaker 1: of them are, but a lot of using your identity 244 00:12:46,559 --> 00:12:49,560 Speaker 1: and stealing your identity. And it is important, it's important 245 00:12:49,600 --> 00:12:53,840 Speaker 1: that people get wise to the cost of cheap labor 246 00:12:54,040 --> 00:12:56,720 Speaker 1: is incredibly expensive to the average American. I know that 247 00:12:56,760 --> 00:12:58,400 Speaker 1: this may seem like minor, like the oh the look 248 00:12:58,400 --> 00:13:02,680 Speaker 1: of these handful of incidences, right these handful of incidences 249 00:13:02,679 --> 00:13:06,160 Speaker 1: that I just named from one industry, one company when 250 00:13:06,160 --> 00:13:08,680 Speaker 1: they were raided for legal aliens, and the victims that 251 00:13:08,679 --> 00:13:11,520 Speaker 1: were caused from one company. You might say this is 252 00:13:11,559 --> 00:13:14,000 Speaker 1: not everybody yet, But not everybody whose speeds is going 253 00:13:14,080 --> 00:13:16,160 Speaker 1: to hit a child or a pedestrian or another car. 254 00:13:16,360 --> 00:13:21,360 Speaker 1: Not everyone who sells marijuana laces them a fetanol, or 255 00:13:21,679 --> 00:13:24,880 Speaker 1: sells things without proper documentation that they are producing a 256 00:13:24,880 --> 00:13:28,280 Speaker 1: save product. Not everyone's going to hurt intentionally hurt somebody, 257 00:13:28,559 --> 00:13:32,280 Speaker 1: but people do get hurt when lawlessness is the accepted 258 00:13:32,280 --> 00:13:35,720 Speaker 1: status quo. I want to make one last point, especially 259 00:13:35,720 --> 00:13:37,760 Speaker 1: to Republicans right now, because I know I've gone on 260 00:13:37,800 --> 00:13:39,959 Speaker 1: a tie rate. I know that people are probably exhausted 261 00:13:39,960 --> 00:13:43,040 Speaker 1: of hearing me talk. But one last point, Republicans are 262 00:13:43,200 --> 00:13:46,319 Speaker 1: falling into a sense of false security. A poll was 263 00:13:46,360 --> 00:13:48,600 Speaker 1: released on Friday by Gallup and it found that the 264 00:13:48,600 --> 00:13:51,640 Speaker 1: percentage of Republicans who want immigration reduced fell from eighty 265 00:13:51,679 --> 00:13:54,280 Speaker 1: eight percent to forty eight percent, and those that want 266 00:13:54,280 --> 00:13:57,760 Speaker 1: our current numbers to maintain the same when from four 267 00:13:57,800 --> 00:14:01,360 Speaker 1: percent to thirty six percent. Is many people look at 268 00:14:01,360 --> 00:14:02,880 Speaker 1: what Trump has done on the border, and he's done 269 00:14:02,920 --> 00:14:05,840 Speaker 1: fantastic stuff on the border, five stars across the way, 270 00:14:05,880 --> 00:14:08,840 Speaker 1: one hundred percent of the report card, no arguments, nothing, 271 00:14:08,960 --> 00:14:10,640 Speaker 1: no problems. What he's done on the border. He's done 272 00:14:10,640 --> 00:14:12,800 Speaker 1: an incredible job and he deserves all the kudos. But 273 00:14:12,840 --> 00:14:15,280 Speaker 1: they look at that and they presume that the problem 274 00:14:15,280 --> 00:14:18,920 Speaker 1: with mass immigration is over, and it's not. Yes, illegal 275 00:14:19,000 --> 00:14:21,640 Speaker 1: immigration is down, but all the problems that are of 276 00:14:21,680 --> 00:14:25,760 Speaker 1: our current legal immigrationism they still exist. Nothing has changed, really, 277 00:14:25,800 --> 00:14:29,120 Speaker 1: nothing has changed. Congress has not stepped in. The President 278 00:14:29,120 --> 00:14:32,240 Speaker 1: has done mass changes to our legalmgracisms. He's tweaked here 279 00:14:32,240 --> 00:14:36,640 Speaker 1: and there, but the major points are all still currently going. 280 00:14:37,000 --> 00:14:40,040 Speaker 1: And it's like the people who right now immigration, people 281 00:14:40,040 --> 00:14:41,960 Speaker 1: who were concerned immigration last year and are less so 282 00:14:42,040 --> 00:14:44,040 Speaker 1: this year. You are like the people who are supposed 283 00:14:44,040 --> 00:14:45,560 Speaker 1: to go on a diet lose fifty pounds and he 284 00:14:45,600 --> 00:14:47,640 Speaker 1: lose the first ten and then immediately start binge eating 285 00:14:47,640 --> 00:14:50,920 Speaker 1: because you think you're doing the successful thing. We're on 286 00:14:51,080 --> 00:14:54,200 Speaker 1: the way, but we're not there yet, and the present's 287 00:14:54,200 --> 00:14:56,760 Speaker 1: do great things, but he's not there yet. We cannot 288 00:14:57,000 --> 00:14:58,200 Speaker 1: afford to backpedal. 289 00:14:58,240 --> 00:14:58,440 Speaker 3: Now. 290 00:14:58,640 --> 00:15:00,560 Speaker 1: Our guest today this episode has been fight against illegal 291 00:15:00,560 --> 00:15:04,080 Speaker 1: immigration for years. She knows the ins and outs on 292 00:15:04,120 --> 00:15:07,280 Speaker 1: what's going on, the soft amnesty and how it's affecting Americans. 293 00:15:07,440 --> 00:15:13,480 Speaker 1: Stay tuned with me on today's episode is Rosemary Janks 294 00:15:13,480 --> 00:15:17,120 Speaker 1: from the Immigration Accountability Project. Rosemary, thank you for being here. 295 00:15:17,120 --> 00:15:18,400 Speaker 3: My pleasure. Good to see Ryan. 296 00:15:18,640 --> 00:15:21,840 Speaker 1: Rosmie. What do you make of this pressure campaign on 297 00:15:21,880 --> 00:15:25,360 Speaker 1: the White House to stop immigration enforcement in agriculture and 298 00:15:25,400 --> 00:15:26,960 Speaker 1: on hospitality workers. 299 00:15:27,200 --> 00:15:30,160 Speaker 3: So, I mean, we have seen this repeatedly in the past, 300 00:15:30,240 --> 00:15:35,400 Speaker 3: where employers who rely on cheap illegal labor have lobbying 301 00:15:35,560 --> 00:15:39,160 Speaker 3: efforts to convince Congress or the White House whoever, to 302 00:15:39,280 --> 00:15:42,280 Speaker 3: allow them to keep their cheap illegal labor. I think 303 00:15:42,280 --> 00:15:44,920 Speaker 3: that the lobbying efforts are a little bit more desperate 304 00:15:45,040 --> 00:15:48,240 Speaker 3: this time. Around because they face a real risk and 305 00:15:48,280 --> 00:15:50,720 Speaker 3: they know that this is the first president we have 306 00:15:50,760 --> 00:15:53,120 Speaker 3: had in a very long time who is actually serious 307 00:15:53,160 --> 00:15:56,920 Speaker 3: about enforcing our immigration laws. And that means that they're 308 00:15:56,960 --> 00:16:00,360 Speaker 3: going to have to give up their illegal labor, which 309 00:16:00,400 --> 00:16:02,120 Speaker 3: is a good thing for America. It's a good thing 310 00:16:02,160 --> 00:16:04,360 Speaker 3: for American workers, it's a good thing for our economy. 311 00:16:04,520 --> 00:16:07,520 Speaker 3: But I do think that they are feeling kind of 312 00:16:07,560 --> 00:16:10,600 Speaker 3: desperate and trapped, and you know, again, that's a good 313 00:16:10,640 --> 00:16:12,040 Speaker 3: thing they should well. 314 00:16:12,200 --> 00:16:14,440 Speaker 1: One thing that drives me crazy, and I hope I 315 00:16:14,480 --> 00:16:17,720 Speaker 1: wish some nonprofit I'm not saying yours, but some nonprofit 316 00:16:17,800 --> 00:16:20,680 Speaker 1: study this. They always from about these rotted fruits in 317 00:16:20,720 --> 00:16:23,760 Speaker 1: the field, and they always say, you're going to disrupt 318 00:16:23,880 --> 00:16:27,680 Speaker 1: the food industry and the supply chain for food. I 319 00:16:27,680 --> 00:16:31,520 Speaker 1: would love one organization to study how much food is 320 00:16:31,600 --> 00:16:34,920 Speaker 1: produced by a farm that has a mechanized labor force 321 00:16:35,200 --> 00:16:39,160 Speaker 1: versus that of cheap labor, both illegal and illegally in 322 00:16:39,200 --> 00:16:41,760 Speaker 1: this country. It would be fascinating because I'm going to 323 00:16:41,840 --> 00:16:44,480 Speaker 1: guess that the mechanized force would probably be cheaper, more 324 00:16:44,520 --> 00:16:45,560 Speaker 1: efficient with more food. 325 00:16:45,680 --> 00:16:50,760 Speaker 3: Absolutely, and in fact, the Commission on Agricultural Immigration Reform 326 00:16:50,800 --> 00:16:52,360 Speaker 3: I think it was called that was created by the 327 00:16:52,440 --> 00:16:56,080 Speaker 3: nineteen eighty six amnesty bill. They actually studied what was 328 00:16:56,120 --> 00:16:59,880 Speaker 3: the impact of the amnesty, the agricultural worker amnesty and 329 00:17:00,040 --> 00:17:02,960 Speaker 3: nineteen eighty six, and they found that basically, once the 330 00:17:03,200 --> 00:17:07,560 Speaker 3: illegal ag workers got amnesty, they all left ag because, 331 00:17:07,640 --> 00:17:09,639 Speaker 3: you know, they went out to find other jobs because 332 00:17:09,640 --> 00:17:12,880 Speaker 3: they now had an entire national economy that they could 333 00:17:12,920 --> 00:17:17,720 Speaker 3: choose from. And so once again employers had to hire, well, 334 00:17:18,080 --> 00:17:21,280 Speaker 3: they decided they needed to hire illegal workers, just new 335 00:17:21,400 --> 00:17:23,960 Speaker 3: illegal workers. You know, we're in the twenty first century. 336 00:17:24,000 --> 00:17:28,879 Speaker 3: It is absurd that we are not employing technology to 337 00:17:29,480 --> 00:17:32,080 Speaker 3: harvest our food, to milk our cows, all of these 338 00:17:32,080 --> 00:17:35,720 Speaker 3: other things. We have the machines available, and you know what, 339 00:17:35,880 --> 00:17:38,880 Speaker 3: if you can't find enough American workers to go out 340 00:17:38,920 --> 00:17:41,520 Speaker 3: in the field and pick crops, you certainly can find 341 00:17:41,600 --> 00:17:44,399 Speaker 3: American workers who are willing to run the machines. It 342 00:17:44,480 --> 00:17:46,840 Speaker 3: takes a lot less labor, and it is you know, 343 00:17:46,920 --> 00:17:49,200 Speaker 3: we need to move into the twenty first century at 344 00:17:49,200 --> 00:17:53,360 Speaker 3: some point, and we should be incentivizing growers to do 345 00:17:53,520 --> 00:17:55,600 Speaker 3: just that. And the way you do that is to 346 00:17:55,640 --> 00:17:56,960 Speaker 3: increase the cost of labor. 347 00:17:57,080 --> 00:18:00,560 Speaker 1: And it's not even just cows being milt, which technologies 348 00:18:00,600 --> 00:18:02,959 Speaker 1: existed for a long time. We have robots that can 349 00:18:02,960 --> 00:18:05,480 Speaker 1: pict suhrawberries. We have robots that It's not like Japan 350 00:18:05,640 --> 00:18:08,520 Speaker 1: requires a million Mexicans every year in their rice patty fields. 351 00:18:08,760 --> 00:18:12,240 Speaker 1: They have joined the twenty first century, probably even before 352 00:18:12,240 --> 00:18:15,160 Speaker 1: the twenty first century began. We are kind of at 353 00:18:15,520 --> 00:18:19,560 Speaker 1: whims of this because of farmers, which are there are 354 00:18:19,560 --> 00:18:21,560 Speaker 1: fewer and fewer farmers, but they still control the same 355 00:18:21,640 --> 00:18:25,399 Speaker 1: level of power. It seems it you've been around the 356 00:18:25,480 --> 00:18:27,400 Speaker 1: h and around like around the hill for a very 357 00:18:27,400 --> 00:18:32,360 Speaker 1: long time. What is the reaction from congress Congressional Republicans been. 358 00:18:32,440 --> 00:18:35,720 Speaker 1: I've gotten calls from people both saying from some Republican 359 00:18:35,720 --> 00:18:38,280 Speaker 1: Congressmans like absolute and I will not pass any amnesty bill. 360 00:18:38,280 --> 00:18:41,080 Speaker 1: I don't care what it is. And then others staffers 361 00:18:41,080 --> 00:18:43,840 Speaker 1: who have told me it's all the usual suspects are 362 00:18:44,000 --> 00:18:44,880 Speaker 1: plotting already. 363 00:18:45,080 --> 00:18:48,920 Speaker 3: Yeah, well, I mean we've already had Republicans, at least 364 00:18:48,960 --> 00:18:53,440 Speaker 3: in name, introduced amnesty bills that include farm worker amnesties 365 00:18:53,520 --> 00:18:54,960 Speaker 3: like Maria Salazar. 366 00:18:55,119 --> 00:18:55,919 Speaker 1: It's just the worst. 367 00:18:57,240 --> 00:18:59,240 Speaker 3: And this is the problem. You know, first of all, 368 00:18:59,280 --> 00:19:02,480 Speaker 3: they don't understand what they're doing They don't understand the 369 00:19:02,520 --> 00:19:06,280 Speaker 3: impacts this has on Americans, and on especially poor Americans. 370 00:19:06,560 --> 00:19:11,480 Speaker 3: But also they don't grasp the fact that there are 371 00:19:11,640 --> 00:19:15,760 Speaker 3: alternatives to illegal labor. First of all, any grower, you know, 372 00:19:15,840 --> 00:19:18,800 Speaker 3: if that grower is at risk of having crops rotting 373 00:19:18,800 --> 00:19:21,200 Speaker 3: on the field, which is such a nonsense argument, then 374 00:19:21,200 --> 00:19:23,080 Speaker 3: they have to raise their rates, you know, they have 375 00:19:23,119 --> 00:19:26,720 Speaker 3: to raise the wages and attract American workers, even if seasonally. 376 00:19:27,119 --> 00:19:29,160 Speaker 3: I mean, I spent a summer in high school picking 377 00:19:29,200 --> 00:19:31,840 Speaker 3: green beans. It was a terrible job. I hated it, 378 00:19:31,920 --> 00:19:33,840 Speaker 3: but I did it. I showed up every day because 379 00:19:33,880 --> 00:19:36,520 Speaker 3: I got paid for it. You know, there are Americans. 380 00:19:36,600 --> 00:19:40,880 Speaker 3: Roughly thirty percent of current agricultural workers right now are 381 00:19:41,040 --> 00:19:45,960 Speaker 3: American citizens native born Americans. Another thirty percent are either 382 00:19:46,160 --> 00:19:51,800 Speaker 3: lawful permanent residents or temporary legal immigrants. So sixty percent 383 00:19:51,800 --> 00:19:54,879 Speaker 3: of the workforce is already legal. It's that last forty 384 00:19:54,920 --> 00:19:59,560 Speaker 3: percent that the farmers are basically just refusing to acknowledge. 385 00:19:59,640 --> 00:20:02,560 Speaker 3: And here's the problem. There are a lot of small 386 00:20:02,560 --> 00:20:06,480 Speaker 3: farmers and ranchers who are only using legal labor. So 387 00:20:06,600 --> 00:20:09,679 Speaker 3: what are we going to tell them? You're stupid because 388 00:20:09,720 --> 00:20:12,760 Speaker 3: you've been following the law. That's just crazy. You don't 389 00:20:12,840 --> 00:20:14,560 Speaker 3: reward people who broke the law. 390 00:20:14,760 --> 00:20:14,960 Speaker 2: Yeah. 391 00:20:14,960 --> 00:20:17,000 Speaker 1: I went to a farm one time and I was 392 00:20:17,000 --> 00:20:20,960 Speaker 1: like maybe twenty two, twenty two, twenty three, and all 393 00:20:21,080 --> 00:20:24,320 Speaker 1: the people who worked on the farm were not only Americans, 394 00:20:24,320 --> 00:20:26,560 Speaker 1: they were all white Americans. Now it was a food 395 00:20:26,600 --> 00:20:31,240 Speaker 1: to table farm that service mostly restaurants, but every single 396 00:20:31,280 --> 00:20:33,399 Speaker 1: one of them. I was actually surprised by it. I 397 00:20:33,480 --> 00:20:35,399 Speaker 1: was thinking I would see a different thing, and it 398 00:20:35,440 --> 00:20:38,280 Speaker 1: was a completely different thing, completely different than my opinion 399 00:20:38,320 --> 00:20:40,080 Speaker 1: based upon what the image that I had seen were. 400 00:20:41,119 --> 00:20:43,159 Speaker 1: And you could always mechanize, you could always go to 401 00:20:43,200 --> 00:20:45,600 Speaker 1: machines that replace them. I was going to ask you 402 00:20:46,000 --> 00:20:48,520 Speaker 1: specifically about well, I want to go and I want 403 00:20:48,520 --> 00:20:51,360 Speaker 1: to talk one one thing first. What you hear from 404 00:20:51,400 --> 00:20:54,280 Speaker 1: a lot of established Republicans these are like the Sean 405 00:20:54,359 --> 00:20:57,600 Speaker 1: Spicer has repe of these talking points at nauseum on 406 00:20:57,640 --> 00:21:00,160 Speaker 1: two Way. Eric Bowling was on two Ay Talk talking 407 00:21:00,160 --> 00:21:03,200 Speaker 1: about this. They put up this pipe dream, they put 408 00:21:03,240 --> 00:21:06,959 Speaker 1: up this what if scenario that is not based in 409 00:21:07,040 --> 00:21:09,240 Speaker 1: reality at all. And you've heard it's not just the 410 00:21:09,280 --> 00:21:11,560 Speaker 1: two of them. You hear all the time about what 411 00:21:11,720 --> 00:21:15,919 Speaker 1: if we just did this form of amnesty, right, and 412 00:21:15,960 --> 00:21:19,240 Speaker 1: I want you to talk about if this form of 413 00:21:19,280 --> 00:21:22,520 Speaker 1: amnesty has been trying in the past and unsuccessful, and 414 00:21:22,840 --> 00:21:25,760 Speaker 1: if it's possible now. So the first is what if 415 00:21:26,160 --> 00:21:29,960 Speaker 1: you only did an amnesty where it was for people 416 00:21:30,040 --> 00:21:32,280 Speaker 1: who did not commit a crime and had a job. 417 00:21:32,640 --> 00:21:36,720 Speaker 1: Is it possible for people to fraudulently produce job records 418 00:21:36,760 --> 00:21:39,439 Speaker 1: for years saying oh, yeah, I had a job, I 419 00:21:39,520 --> 00:21:41,679 Speaker 1: qualify Is that right? Does that happen? 420 00:21:41,920 --> 00:21:44,440 Speaker 3: Of course? And that was one of the biggest problems 421 00:21:44,440 --> 00:21:47,960 Speaker 3: with the nineteen eighty six amnesty, especially the agricultural worker 422 00:21:48,000 --> 00:21:50,680 Speaker 3: part of it was the fraud. I mean, we had 423 00:21:50,760 --> 00:21:53,840 Speaker 3: people who said that they picked watermelons from the trees 424 00:21:54,160 --> 00:21:57,960 Speaker 3: and they got amnesty. Their job was picking watermelons from 425 00:21:58,000 --> 00:22:00,800 Speaker 3: a tree. That's insane. We all so, by the way, 426 00:22:01,320 --> 00:22:05,240 Speaker 3: had one of the nineteen the World Trade Center bombers, 427 00:22:05,480 --> 00:22:10,040 Speaker 3: mackmood Abu Halima, was granted amnesty under that nineteen eighty 428 00:22:10,119 --> 00:22:13,959 Speaker 3: six amnesty bill. So you know, the vetting is crazy. 429 00:22:14,000 --> 00:22:15,159 Speaker 3: And here's the problem. 430 00:22:15,640 --> 00:22:18,600 Speaker 1: And that was for three million this is now and 431 00:22:18,680 --> 00:22:18,919 Speaker 1: it was. 432 00:22:20,440 --> 00:22:22,960 Speaker 3: One mosted one million, right, and then all of a 433 00:22:23,000 --> 00:22:25,960 Speaker 3: sudden there are two million extra illegal aliens that we 434 00:22:26,000 --> 00:22:29,000 Speaker 3: haven't accounted for who are applying for this amnesty. And 435 00:22:29,080 --> 00:22:33,680 Speaker 3: so the then I ins was completely overwhelmed with the applications. 436 00:22:33,720 --> 00:22:36,040 Speaker 3: And of course Congress doesn't understand any of that, and 437 00:22:36,080 --> 00:22:38,800 Speaker 3: so they set ridiculous parameters as to how long it's 438 00:22:38,800 --> 00:22:41,560 Speaker 3: supposed to take to approve the applications, so it becomes 439 00:22:41,600 --> 00:22:44,840 Speaker 3: a rubber stamp process. Vetting isn't done, and we end 440 00:22:44,920 --> 00:22:47,719 Speaker 3: up with terrorists with green cards. This guy got a 441 00:22:47,800 --> 00:22:51,520 Speaker 3: green card through this process, so you know, the fraud 442 00:22:51,600 --> 00:22:54,920 Speaker 3: is ridiculous. And then also Congress, in its infinite wisdom, 443 00:22:55,240 --> 00:22:58,280 Speaker 3: does stupid things like say that in order to prove 444 00:22:58,320 --> 00:23:00,720 Speaker 3: that you've been here for five years or ten years 445 00:23:00,800 --> 00:23:03,760 Speaker 3: or whatever, you can get an AFFI David from a 446 00:23:03,800 --> 00:23:04,840 Speaker 3: friend or a relative. 447 00:23:05,119 --> 00:23:07,840 Speaker 1: I'm sure those are all Wait, so wait, I talk 448 00:23:07,880 --> 00:23:09,760 Speaker 1: about the eighty six amnesty for just one. I know 449 00:23:09,840 --> 00:23:12,679 Speaker 1: this is not like what Trump's proposing, but this is 450 00:23:12,720 --> 00:23:15,600 Speaker 1: something that makes me scream at my television. I've turned 451 00:23:15,600 --> 00:23:18,000 Speaker 1: into my father. Want to hear people regurgitate this. And 452 00:23:18,040 --> 00:23:20,040 Speaker 1: maybe I'm wrong on the information. So if I am, 453 00:23:20,080 --> 00:23:21,800 Speaker 1: please correct me. But I don't think I am. The 454 00:23:21,840 --> 00:23:27,560 Speaker 1: eighty six amnesty federal judges were granting amnesty for years 455 00:23:28,119 --> 00:23:31,800 Speaker 1: past the quote unquote deadlines, and we're granting it to 456 00:23:31,960 --> 00:23:35,119 Speaker 1: people who were not even in the country at the 457 00:23:35,200 --> 00:23:38,120 Speaker 1: time when the amnesty was being discussed. Do I have 458 00:23:38,160 --> 00:23:38,760 Speaker 1: that correct? 459 00:23:38,840 --> 00:23:41,600 Speaker 3: Yes, one hundred percent. There were all kinds of lawsuits 460 00:23:41,640 --> 00:23:45,120 Speaker 3: about you know, well, my family wasn't here during the 461 00:23:45,400 --> 00:23:47,800 Speaker 3: amnesty and so now I need to be able to 462 00:23:47,800 --> 00:23:50,600 Speaker 3: bring my family in. I mean, there were literally hundreds 463 00:23:50,640 --> 00:23:53,160 Speaker 3: of thousands of illegal aliens who are allowed to come 464 00:23:53,200 --> 00:23:56,159 Speaker 3: in and claim that amnesty as family members of the 465 00:23:56,160 --> 00:23:59,960 Speaker 3: amnesty aliens or you know, people who first whatever reason 466 00:24:00,080 --> 00:24:03,440 Speaker 3: and didn't get to file their applications in time, probably 467 00:24:03,520 --> 00:24:06,760 Speaker 3: because they weren't here. So yeah, the judicial system ran 468 00:24:06,800 --> 00:24:07,399 Speaker 3: amok on that. 469 00:24:07,520 --> 00:24:11,639 Speaker 1: So this is what listeners and Republican regular Joe Schmoe 470 00:24:11,680 --> 00:24:15,600 Speaker 1: Republicans need to understand when they hear people saying we're 471 00:24:15,720 --> 00:24:18,680 Speaker 1: only going to do it for certain people who don't 472 00:24:18,680 --> 00:24:20,479 Speaker 1: have a criminal record and who have a job and 473 00:24:20,480 --> 00:24:25,000 Speaker 1: can learn English, a federal judge will overrule every one 474 00:24:25,080 --> 00:24:28,240 Speaker 1: of those requirements, including the penalties and back taxes they're 475 00:24:28,240 --> 00:24:31,399 Speaker 1: supposed to pay. Because it happened hundreds of thousands of 476 00:24:31,440 --> 00:24:34,440 Speaker 1: times during the eighty six amnesty. It will happen millions 477 00:24:34,480 --> 00:24:37,000 Speaker 1: of times. If you think that the woman with the 478 00:24:37,080 --> 00:24:41,320 Speaker 1: unpronounceable African name in California who just ruled you can't 479 00:24:41,359 --> 00:24:45,600 Speaker 1: profile someone for speaking Spanish on a job site to 480 00:24:45,600 --> 00:24:48,560 Speaker 1: deport them or to investigate their here illegally, would not 481 00:24:48,880 --> 00:24:52,080 Speaker 1: waive all those restrictions and granted for somebody who is 482 00:24:52,119 --> 00:24:55,000 Speaker 1: not even in the country. Now you're being lied to 483 00:24:55,320 --> 00:24:57,359 Speaker 1: because it happened before. I know. This is a tyrant 484 00:24:57,400 --> 00:24:59,000 Speaker 1: and I ran I know only do an interview, and 485 00:24:59,000 --> 00:25:02,359 Speaker 1: I don't get this like much. I want to drill 486 00:25:02,400 --> 00:25:04,480 Speaker 1: a hole in my head. But I hear it from 487 00:25:04,520 --> 00:25:08,040 Speaker 1: people forever that we're going to have this special We're 488 00:25:08,080 --> 00:25:11,360 Speaker 1: going to find the next Einstein among the thirty five 489 00:25:11,400 --> 00:25:13,960 Speaker 1: million legaliands, and only he's gonna get it and everyone 490 00:25:14,000 --> 00:25:16,840 Speaker 1: else is going to go home. It has never ever, ever, 491 00:25:17,080 --> 00:25:20,440 Speaker 1: ever happened. And liberal judges, who are hundreds of them 492 00:25:20,520 --> 00:25:23,159 Speaker 1: filled the courts will absolutely be like, now, wave them 493 00:25:23,200 --> 00:25:27,000 Speaker 1: all in and their family who are currently in Mozambique 494 00:25:27,080 --> 00:25:27,400 Speaker 1: right now. 495 00:25:27,480 --> 00:25:30,240 Speaker 3: Yeah, you're absolutely right. And here's one of the problems 496 00:25:30,280 --> 00:25:34,359 Speaker 3: that leads to this judicial excess is Congress. Of course, 497 00:25:34,640 --> 00:25:38,679 Speaker 3: Congress puts into these laws all kinds of waivers. You 498 00:25:38,720 --> 00:25:42,040 Speaker 3: can wave the criminal restrictions, you can wave the fees, 499 00:25:42,160 --> 00:25:44,760 Speaker 3: you can wave the you know, all sorts of things. 500 00:25:44,800 --> 00:25:46,679 Speaker 3: If they don't have proof of such and such, you 501 00:25:46,680 --> 00:25:49,560 Speaker 3: can wave that in the national interest or in the 502 00:25:49,560 --> 00:25:52,520 Speaker 3: public interest or whatever, and so everything gets waved. So 503 00:25:52,760 --> 00:25:54,560 Speaker 3: I mean, if you're a judge and you're looking at 504 00:25:54,560 --> 00:25:56,399 Speaker 3: the way the law is written in, it says you 505 00:25:56,400 --> 00:26:00,160 Speaker 3: can wave everything. Okay, Well, why wouldn't you wave everything? 506 00:26:00,440 --> 00:26:04,440 Speaker 3: You know, it's crazy that you cannot take a group 507 00:26:04,480 --> 00:26:08,520 Speaker 3: of illegal aliens, people who have not been vetted, people 508 00:26:08,840 --> 00:26:12,240 Speaker 3: who basically we ask them who are you, and they 509 00:26:12,280 --> 00:26:15,520 Speaker 3: tell us and we accept that as their identity. You know, 510 00:26:15,600 --> 00:26:18,359 Speaker 3: these are people who in most cases dump their documents 511 00:26:18,400 --> 00:26:20,680 Speaker 3: on the other side of the Rio grand before they 512 00:26:20,720 --> 00:26:23,160 Speaker 3: came in. We have no idea who they are. It's 513 00:26:23,200 --> 00:26:26,280 Speaker 3: why we keep finding criminals from their home countries, Like 514 00:26:26,320 --> 00:26:28,639 Speaker 3: they were convicted of crimes in the home countries. We 515 00:26:28,760 --> 00:26:31,000 Speaker 3: find them here and we had no idea that they 516 00:26:31,000 --> 00:26:35,280 Speaker 3: were wanted by whatever country. Because there's zero vetting. You 517 00:26:35,359 --> 00:26:37,920 Speaker 3: cannot vet people. You don't have any. 518 00:26:37,760 --> 00:26:41,320 Speaker 1: Data on right and the notion that we're going to 519 00:26:41,480 --> 00:26:47,440 Speaker 1: make ten to twenty million people into legal residents, non voters, 520 00:26:47,560 --> 00:26:50,160 Speaker 1: which is the other thing that Republicans say, will never 521 00:26:50,280 --> 00:26:53,280 Speaker 1: make them voters. They will never have the right to vote. No, 522 00:26:53,440 --> 00:26:57,200 Speaker 1: that's not true, because I guarantee the ACLU will bring 523 00:26:57,280 --> 00:26:59,760 Speaker 1: up a lawsuit day one. They have to have the 524 00:26:59,840 --> 00:27:04,080 Speaker 1: right to voute your disenfranchising them, which one hundred percent 525 00:27:04,400 --> 00:27:06,760 Speaker 1: a San Francisco judge is going to like absolutely grant 526 00:27:06,800 --> 00:27:08,760 Speaker 1: them the right to vote, and we will have districts 527 00:27:08,800 --> 00:27:12,880 Speaker 1: across the country suing until Kingdom come and their legal 528 00:27:13,680 --> 00:27:17,200 Speaker 1: legal American citizens thanks to the Birthright Citizenship Act, which, 529 00:27:17,280 --> 00:27:19,639 Speaker 1: by the way, even if Trump's lawsuit is successful, their 530 00:27:19,720 --> 00:27:22,200 Speaker 1: kids would still be citizens if they are legal residents. 531 00:27:22,359 --> 00:27:26,720 Speaker 1: Their children will be absolutely available to have every Medicaid, welfare, 532 00:27:26,840 --> 00:27:31,200 Speaker 1: Social Security, FOODSNAP program under the sun. The cost of 533 00:27:31,240 --> 00:27:34,679 Speaker 1: our welfare state will aiming to relast questions, I promise 534 00:27:34,760 --> 00:27:37,359 Speaker 1: I won't go on tires. I'll let you talk. Theirstion 535 00:27:37,600 --> 00:27:41,080 Speaker 1: is I'm sorry, this just rais me crazy. I'm not 536 00:27:41,320 --> 00:27:44,000 Speaker 1: like this normally, and on the podcasts in personal life, 537 00:27:44,000 --> 00:27:46,919 Speaker 1: I am this insufferable. But the the other thing was 538 00:27:47,080 --> 00:27:49,840 Speaker 1: one the English requirement, the idea that we're gonna have 539 00:27:49,840 --> 00:27:53,040 Speaker 1: an English crewman Rosemary for people who have not applied 540 00:27:53,040 --> 00:27:55,840 Speaker 1: for citizenship. Is the English requirement that is on this 541 00:27:55,960 --> 00:27:57,960 Speaker 1: Poston on the standard of the test to become our 542 00:27:58,320 --> 00:28:01,680 Speaker 1: is that waived currently for people. 543 00:28:02,240 --> 00:28:04,640 Speaker 3: It's waved for people over I think it's the age 544 00:28:04,640 --> 00:28:07,480 Speaker 3: of sixty five. It's waved for young people. So and 545 00:28:07,840 --> 00:28:11,400 Speaker 3: there are other possibilities of waivers for disability and so on, 546 00:28:11,480 --> 00:28:12,400 Speaker 3: so it can be waved. 547 00:28:12,480 --> 00:28:13,719 Speaker 1: Yes, yeah, so even that. 548 00:28:13,880 --> 00:28:18,800 Speaker 3: But even if it's not waived, it's a ridiculously simple test. 549 00:28:18,840 --> 00:28:21,240 Speaker 3: I mean, it's basically, can you say one sentence or 550 00:28:21,280 --> 00:28:23,879 Speaker 3: can you answer my question when I ask you what 551 00:28:23,960 --> 00:28:26,360 Speaker 3: your name is? And if you can answer, then you 552 00:28:26,400 --> 00:28:28,800 Speaker 3: know enough English to become a naturalized citizen. 553 00:28:29,040 --> 00:28:31,359 Speaker 1: I help my Auntsery for her citizenship test. She's been 554 00:28:31,359 --> 00:28:33,359 Speaker 1: in the country for a very long time, she's married, 555 00:28:33,440 --> 00:28:36,080 Speaker 1: had children or whatever, and I could not believe how 556 00:28:36,240 --> 00:28:38,200 Speaker 1: easy the questions were to begin with. I was like, 557 00:28:38,280 --> 00:28:40,960 Speaker 1: if you fail this, you, I mean, just shouldn't you 558 00:28:41,000 --> 00:28:43,840 Speaker 1: should be ejected? As my aunt I'm saying this, So 559 00:28:43,920 --> 00:28:47,840 Speaker 1: two last questions one there, I do not believe that 560 00:28:47,920 --> 00:28:53,120 Speaker 1: these farmers want their illegal labor to even get visas 561 00:28:53,320 --> 00:28:57,360 Speaker 1: because we have a limitless visa program for agriculture workers currently, 562 00:28:57,760 --> 00:28:59,760 Speaker 1: but there are requirements. You have to pay them a 563 00:28:59,760 --> 00:29:02,960 Speaker 1: lit wage or is there a provincial wage. You have 564 00:29:03,040 --> 00:29:07,400 Speaker 1: to provide housing, transportation, there's a lot of expenses illegally 565 00:29:07,640 --> 00:29:09,400 Speaker 1: lay in labor. You don't even have to put them 566 00:29:09,440 --> 00:29:11,320 Speaker 1: in safe working conditions. And when they go to the 567 00:29:11,320 --> 00:29:13,520 Speaker 1: hospital because they lost an arm and the meat packing plan, 568 00:29:13,800 --> 00:29:16,520 Speaker 1: who pays for it is the taxpayer. Do you get 569 00:29:16,520 --> 00:29:19,920 Speaker 1: any notion that they want even this legal STAIZI they 570 00:29:20,040 --> 00:29:21,240 Speaker 1: just don't want raids anymore. 571 00:29:21,280 --> 00:29:24,239 Speaker 3: Yeah, no, that's absolutely right. They don't want enforcement. They 572 00:29:24,240 --> 00:29:26,560 Speaker 3: want to continue with the status quo. I mean the 573 00:29:26,600 --> 00:29:30,040 Speaker 3: status quo is basically they have slaves and you know, 574 00:29:30,520 --> 00:29:33,640 Speaker 3: or at least indentured servants who can't do anything about it. 575 00:29:33,680 --> 00:29:36,520 Speaker 3: They can't complain because then you know, the employer consider, well, 576 00:29:36,560 --> 00:29:39,200 Speaker 3: I'm gonna call eyes if you complain. But yeah, I mean, 577 00:29:39,240 --> 00:29:43,040 Speaker 3: that's exactly what they want, and that is exactly the 578 00:29:43,040 --> 00:29:46,880 Speaker 3: opposite of what they should get. You know, the H 579 00:29:46,960 --> 00:29:50,480 Speaker 3: two A program, the legal guest worker visa for agriculture, 580 00:29:50,720 --> 00:29:53,920 Speaker 3: that thing has exploded. I mean it clearly works. It 581 00:29:53,960 --> 00:29:56,480 Speaker 3: went from like thirty I think somewhere around thirty seven 582 00:29:56,960 --> 00:30:00,800 Speaker 3: and twenty fourteen to three hundred and eight five thousand 583 00:30:00,880 --> 00:30:05,200 Speaker 3: visas issued last year, So there are farmers using it, 584 00:30:05,440 --> 00:30:08,760 Speaker 3: So it obviously works. Is it bureaucratic? Do they have 585 00:30:08,840 --> 00:30:12,000 Speaker 3: to provide extra things? Yes? But guess what these. 586 00:30:11,800 --> 00:30:13,680 Speaker 1: Are the people picking a food? 587 00:30:14,400 --> 00:30:15,160 Speaker 3: Right? Right? 588 00:30:15,960 --> 00:30:18,080 Speaker 1: But were you talk about this minimal? 589 00:30:18,400 --> 00:30:21,960 Speaker 3: If you think about any workforce in the United States 590 00:30:22,000 --> 00:30:26,560 Speaker 3: where it is important to have a legal, identifiable workforce, 591 00:30:26,920 --> 00:30:30,800 Speaker 3: don't you think picking our food is that industry. I mean, 592 00:30:30,840 --> 00:30:34,840 Speaker 3: this is potentially a national security issue. This is our food. 593 00:30:34,880 --> 00:30:37,520 Speaker 3: And all these Democrats saying, oh, well, you can't take 594 00:30:37,560 --> 00:30:39,960 Speaker 3: away the people who are picking the food. You can 595 00:30:40,040 --> 00:30:42,560 Speaker 3: if they're not here legally. We need to know who 596 00:30:42,560 --> 00:30:44,880 Speaker 3: they are. We need to know that they don't have, 597 00:30:45,360 --> 00:30:48,840 Speaker 3: you know, bad intentions for whatever they're doing. I mean, 598 00:30:49,000 --> 00:30:51,760 Speaker 3: with the number of illegal aliens that came over in 599 00:30:51,800 --> 00:30:55,280 Speaker 3: the last four years, we have no idea who those 600 00:30:55,320 --> 00:30:57,959 Speaker 3: people are, where they are are they working on farms? 601 00:30:58,040 --> 00:31:01,640 Speaker 3: I don't know, do you? And we have got to 602 00:31:01,640 --> 00:31:02,440 Speaker 3: get a grip on this. 603 00:31:02,720 --> 00:31:04,560 Speaker 1: There was a case in my last question. There was 604 00:31:04,600 --> 00:31:07,720 Speaker 1: a case in Omaha, Nebraska, just like a couple of 605 00:31:07,760 --> 00:31:10,800 Speaker 1: weeks ago, where they rated a meat packing plant and 606 00:31:11,200 --> 00:31:13,800 Speaker 1: the stories the day after the raid were, well, this 607 00:31:13,960 --> 00:31:16,320 Speaker 1: is upsetting our farms and we won't have this meat 608 00:31:16,320 --> 00:31:18,520 Speaker 1: and prices are going to explode and they'll never fill 609 00:31:18,560 --> 00:31:20,960 Speaker 1: these jobs again. And I think within a week Americans 610 00:31:21,000 --> 00:31:22,800 Speaker 1: that applied for every one of those jobs, wages had 611 00:31:22,800 --> 00:31:25,239 Speaker 1: gone up, safety genders have gone up. Can you explain this? 612 00:31:25,360 --> 00:31:26,840 Speaker 1: And this is not the only time this has happened. 613 00:31:26,880 --> 00:31:31,160 Speaker 1: It happened in Chicago around a bakery a black woman. Yeah. 614 00:31:31,360 --> 00:31:34,000 Speaker 1: Can you explain some examples of this where the prices 615 00:31:34,000 --> 00:31:36,840 Speaker 1: did not explode Americans did feel the job. I mean, 616 00:31:36,840 --> 00:31:38,720 Speaker 1: if you know any of many examples, but this one 617 00:31:38,760 --> 00:31:42,920 Speaker 1: included where this fear mongering over the idea of the 618 00:31:43,040 --> 00:31:47,440 Speaker 1: lazy American is so preposterously you know, it's like it's 619 00:31:47,520 --> 00:31:50,360 Speaker 1: fear porn of the lazy American who just will not 620 00:31:50,520 --> 00:31:53,440 Speaker 1: do anything as if you know, our history as a 621 00:31:53,520 --> 00:31:55,960 Speaker 1: nation has been built off the backs of bumps. 622 00:31:56,240 --> 00:31:58,600 Speaker 3: Yeah. Well, and that's one of the things that the 623 00:31:58,640 --> 00:32:03,600 Speaker 3: Commission on Agriculture Reform found is that the largest cost 624 00:32:03,960 --> 00:32:08,120 Speaker 3: for food production is actually transportation. It's getting the strawberries 625 00:32:08,160 --> 00:32:11,000 Speaker 3: from California to the supermarkets on the East Coast. It's 626 00:32:11,000 --> 00:32:14,280 Speaker 3: not labor. So if you could snap your fingers and 627 00:32:14,400 --> 00:32:18,640 Speaker 3: replace all of the illegal aliens with legal workers at 628 00:32:18,680 --> 00:32:22,120 Speaker 3: the wages that they would demand, you would potentially increase 629 00:32:22,160 --> 00:32:24,160 Speaker 3: the cost of ahead of lettuce by a nickel. Are 630 00:32:24,200 --> 00:32:27,560 Speaker 3: Americans willing to pay a nickel to have a legal 631 00:32:27,800 --> 00:32:31,160 Speaker 3: workforce picking their food? I think they probably. 632 00:32:30,920 --> 00:32:33,560 Speaker 1: Are, so, I mean, I mean, I know you don't 633 00:32:33,560 --> 00:32:35,520 Speaker 1: know these numbers, and I don't know them either, but 634 00:32:35,520 --> 00:32:37,840 Speaker 1: I'm just throwing an idea there. So basically, if the 635 00:32:37,880 --> 00:32:40,160 Speaker 1: government were to create like a bullet train type in 636 00:32:40,240 --> 00:32:42,280 Speaker 1: like China has, as parts of the EU have, that 637 00:32:42,400 --> 00:32:46,240 Speaker 1: could transport stuff very quickly between coasts, that would do 638 00:32:46,360 --> 00:32:49,479 Speaker 1: far more to reduce the cost of food than an 639 00:32:49,520 --> 00:32:50,520 Speaker 1: illegal workforce. 640 00:32:50,760 --> 00:32:53,000 Speaker 3: Well, I think what President Trump has done with the 641 00:32:53,040 --> 00:32:56,240 Speaker 3: cost of energy is doing far more to reduce the 642 00:32:56,240 --> 00:33:00,320 Speaker 3: cost of food than the labor supply over will. But 643 00:33:00,400 --> 00:33:03,360 Speaker 3: you know the other thing is by local agriculture, you know, 644 00:33:03,440 --> 00:33:07,480 Speaker 3: buy local food products that reduces the costs and increases 645 00:33:07,480 --> 00:33:08,040 Speaker 3: the quality. 646 00:33:08,360 --> 00:33:10,920 Speaker 1: Right, Well, Rosemary Jenks, where can people go to learn 647 00:33:10,920 --> 00:33:12,960 Speaker 1: more about the Immigration Accountability Project. 648 00:33:13,120 --> 00:33:17,280 Speaker 3: We're at iaproject dot org on the Internet, and all 649 00:33:17,320 --> 00:33:19,760 Speaker 3: of our social media is linked from our homepage there 650 00:33:19,880 --> 00:33:23,360 Speaker 3: IA project dot org. We have all kinds of resources, 651 00:33:23,400 --> 00:33:27,760 Speaker 3: including the every single immigration vote of every member of 652 00:33:27,800 --> 00:33:30,960 Speaker 3: Congress is on our member accountability page, so you can 653 00:33:30,960 --> 00:33:34,600 Speaker 3: find out how your representative or senator votes and how 654 00:33:34,600 --> 00:33:37,600 Speaker 3: that differs, perhaps from what they say on the campaign trip. 655 00:33:37,800 --> 00:33:40,080 Speaker 1: That's so Greg, I wonder my I did. I ran 656 00:33:40,200 --> 00:33:42,320 Speaker 1: Brandon Gills race the last show's a GC so I 657 00:33:42,360 --> 00:33:43,400 Speaker 1: think he's one of the better ones. 658 00:33:43,440 --> 00:33:44,960 Speaker 3: But he's fantastic. 659 00:33:45,240 --> 00:33:48,120 Speaker 1: He's great. I will thank you for being here and 660 00:33:48,600 --> 00:33:50,680 Speaker 1: hopefully we'll have you on again soon, and please check 661 00:33:50,720 --> 00:33:52,480 Speaker 1: out the Immigration Accountability Project. 662 00:33:52,600 --> 00:33:54,920 Speaker 2: Thanks Ryan, you're listening to It's a Numbers Game with 663 00:33:55,000 --> 00:34:00,920 Speaker 2: Ryan Grodowsky. We'll be right back after this message. Now 664 00:34:00,960 --> 00:34:03,200 Speaker 2: it's time for the Ask Me Anything segment or the show. 665 00:34:03,240 --> 00:34:04,840 Speaker 2: I want you do part of the Ask Me Anything 666 00:34:04,920 --> 00:34:08,640 Speaker 2: segment by emailing me ryanat Numbers Gamepodcast dot com. That's 667 00:34:08,719 --> 00:34:11,520 Speaker 2: Ryan plural and Numbers Gamepodcast dot com. I will get 668 00:34:11,560 --> 00:34:14,520 Speaker 2: to your emails. I know I'm backlogged a few for. 669 00:34:14,480 --> 00:34:16,359 Speaker 1: A few days but I will absolutely get to your 670 00:34:16,880 --> 00:34:21,680 Speaker 1: questions on the air. This one comes from Rafael Castilla. 671 00:34:21,760 --> 00:34:24,160 Speaker 1: I hope I'm pronouncing your last name correctly, Rafael, I 672 00:34:24,480 --> 00:34:26,480 Speaker 1: never do, but I hope so, he says, Hi, Ryan, 673 00:34:26,480 --> 00:34:29,480 Speaker 1: I've listened to your podcast since the inception. I especially 674 00:34:29,520 --> 00:34:32,040 Speaker 1: enjoyed your episode with Alex Thompson. Thank you so much 675 00:34:32,080 --> 00:34:34,400 Speaker 1: for that. My question for day is to campaign finance. 676 00:34:34,520 --> 00:34:37,920 Speaker 1: Are there any politicians you consider most efficient users of 677 00:34:38,000 --> 00:34:40,680 Speaker 1: campaign resources? The prerequisite being that they are able to 678 00:34:40,760 --> 00:34:43,839 Speaker 1: raise sufficient funds and their race, but predominant they're able 679 00:34:43,880 --> 00:34:47,160 Speaker 1: to extract high payoffs for ad spence and other expenses. 680 00:34:47,200 --> 00:34:50,280 Speaker 1: My interest is aptitude of the person and their judgment 681 00:34:50,320 --> 00:34:53,400 Speaker 1: on who they hire, rather than the source of their funding. Basically, 682 00:34:53,440 --> 00:34:56,520 Speaker 1: I want the opposite of Bloomberg's one billion dollars just 683 00:34:56,520 --> 00:34:59,720 Speaker 1: to win American in Samoa. Thank you, Rafael. Okay, great question. 684 00:35:00,200 --> 00:35:03,479 Speaker 1: So here is First of all, Rafael, thank you for listening. Truly, 685 00:35:03,600 --> 00:35:05,640 Speaker 1: from the bottom of my heart. I'm always amazed that 686 00:35:05,680 --> 00:35:08,920 Speaker 1: people listen, so I'm very grateful when you're looking at 687 00:35:09,000 --> 00:35:12,880 Speaker 1: how campaign spending goes. There's a law on the books 688 00:35:13,040 --> 00:35:16,799 Speaker 1: that campaigns and candidates get a certain rate that is 689 00:35:17,000 --> 00:35:21,120 Speaker 1: lower than super packs or even other things like they 690 00:35:21,120 --> 00:35:22,879 Speaker 1: can't get their rates jacked up. So when it comes 691 00:35:22,920 --> 00:35:26,880 Speaker 1: to ad spends per dollar, right, they're all at the 692 00:35:26,920 --> 00:35:29,279 Speaker 1: same level, and unless they book at the very very 693 00:35:29,440 --> 00:35:32,879 Speaker 1: end when things are increased, but they're basically at the 694 00:35:32,920 --> 00:35:35,960 Speaker 1: same level. The packs have to pay more, though, And 695 00:35:36,040 --> 00:35:39,160 Speaker 1: I think that when you're looking at I'm assuming you're 696 00:35:39,160 --> 00:35:41,080 Speaker 1: talking about Congress, by the way, because the president has 697 00:35:41,080 --> 00:35:42,920 Speaker 1: been just Trump for the last twelve years, and I 698 00:35:43,160 --> 00:35:45,280 Speaker 1: you know, I could go into tires at Ronda Santa's 699 00:35:45,320 --> 00:35:48,800 Speaker 1: or Nikki Haley or whatever, but it's not really pertainable, 700 00:35:48,840 --> 00:35:50,440 Speaker 1: and I haven't paid that much attention to what the 701 00:35:50,440 --> 00:35:52,120 Speaker 1: Democrats have done. So I'm going to assume you're talking 702 00:35:52,120 --> 00:35:54,279 Speaker 1: about House and Republicans in Congress. When it comes to 703 00:35:54,320 --> 00:35:57,880 Speaker 1: House and Republicans in Congress, there's two separate kinds of 704 00:35:58,120 --> 00:36:01,200 Speaker 1: House members. Right. There's something called the frontline members. Those 705 00:36:01,200 --> 00:36:05,320 Speaker 1: are like want of Scamani or Ken Calvallet or Mike Lawler. 706 00:36:05,640 --> 00:36:08,960 Speaker 1: Those are people who are very very competitive seats that 707 00:36:09,000 --> 00:36:11,040 Speaker 1: they need a massive amount of investments. And then there's 708 00:36:11,239 --> 00:36:14,440 Speaker 1: like Marjorie Taylor Green or Harriet Haberman or Ronnie Jackson. 709 00:36:14,640 --> 00:36:17,520 Speaker 1: Those are districts that Democrats can't win even in a 710 00:36:17,600 --> 00:36:22,600 Speaker 1: landslide election. So House members in very safe districts will, oftentimes, 711 00:36:22,719 --> 00:36:26,560 Speaker 1: especially after the primary season is over, give a lot 712 00:36:26,600 --> 00:36:30,440 Speaker 1: of their money to frontline members who are in danger 713 00:36:30,480 --> 00:36:32,640 Speaker 1: of losing. The person who did this the most was 714 00:36:32,719 --> 00:36:35,960 Speaker 1: Kevin McCarthy. Kevin McCarthy gave in his last cycle when 715 00:36:35,960 --> 00:36:37,759 Speaker 1: he was running for speaker, when he might have been 716 00:36:37,760 --> 00:36:39,799 Speaker 1: the speaker I think was running for speaker, he gave 717 00:36:39,880 --> 00:36:44,000 Speaker 1: two million dollars of campaign funds to endangered Republicans. The 718 00:36:44,080 --> 00:36:48,640 Speaker 1: leadership Reuplican leadership generally gives a lot of money. Steve Scalise, 719 00:36:48,719 --> 00:36:51,960 Speaker 1: Tom Emmer, and Elis Stefanik gave another combined two million, 720 00:36:52,160 --> 00:36:54,520 Speaker 1: and that doesn't include their leadership funds. That's just their 721 00:36:54,680 --> 00:36:58,640 Speaker 1: campaigns giving money to frontline members because they're safe. The 722 00:36:58,680 --> 00:37:02,160 Speaker 1: way you kind of angle yourself as a future leader 723 00:37:02,320 --> 00:37:06,239 Speaker 1: or member of leadership is by raising money for endangered Republicans, 724 00:37:06,280 --> 00:37:08,920 Speaker 1: either in the primary process and getting on board early, 725 00:37:09,360 --> 00:37:11,560 Speaker 1: or in the general election when they're in very tough 726 00:37:11,600 --> 00:37:14,279 Speaker 1: and competitive districts which there are fewer and fewer of 727 00:37:14,360 --> 00:37:16,919 Speaker 1: them as far as incumbents. I went through a lot 728 00:37:16,960 --> 00:37:18,640 Speaker 1: of the twenty of the last the one hundred and 729 00:37:18,680 --> 00:37:22,120 Speaker 1: eighteenth Congress is filing data when I saw this question. 730 00:37:22,280 --> 00:37:26,280 Speaker 1: As far as the incumbents who spend most efficiently, people 731 00:37:26,320 --> 00:37:29,040 Speaker 1: in the House that I saw, like Congressman Gary Palmer 732 00:37:29,080 --> 00:37:32,240 Speaker 1: from Alabama and Greg stu from Florida were very efficient 733 00:37:32,239 --> 00:37:35,680 Speaker 1: with their spending, but they also are in very uncompetitive seats, 734 00:37:35,760 --> 00:37:38,279 Speaker 1: so that might have been the reason. I did a 735 00:37:38,360 --> 00:37:41,799 Speaker 1: quick look at people's burn rates. That's how much you 736 00:37:41,840 --> 00:37:44,240 Speaker 1: spend versus how much you bring in in any given 737 00:37:44,239 --> 00:37:47,920 Speaker 1: election cycle. The cost of fundraising is one of the 738 00:37:48,000 --> 00:37:50,440 Speaker 1: highest burn rate parts of it, but there's other parts 739 00:37:50,480 --> 00:37:53,279 Speaker 1: like staff and ads and whatnot. I want to see 740 00:37:53,280 --> 00:37:55,719 Speaker 1: who had the most efficient burn rate. The people who 741 00:37:55,760 --> 00:37:59,640 Speaker 1: were basically not overspending, especially they were not in hard districts. 742 00:38:00,080 --> 00:38:02,680 Speaker 1: People in hard districts a little leeway. But the people 743 00:38:02,680 --> 00:38:05,440 Speaker 1: that I saw who had great burn rates and were 744 00:38:05,480 --> 00:38:08,839 Speaker 1: spending money very efficiently was Andy Barr from Kentucky, At 745 00:38:08,880 --> 00:38:12,160 Speaker 1: Fallon from Texas, Chuck Fleischmann from Tennessee, and Drew Garbarino 746 00:38:12,200 --> 00:38:15,200 Speaker 1: from New York. Beth ban Dyed from Texas actually Hintson 747 00:38:15,280 --> 00:38:17,719 Speaker 1: from Iowa and Darryl Isislol from Carol call those with 748 00:38:17,760 --> 00:38:19,919 Speaker 1: who in me. I looked at their stuff and I said, Wow, 749 00:38:19,920 --> 00:38:24,040 Speaker 1: they're actually spending money very very very efficiently. I don't 750 00:38:24,040 --> 00:38:27,080 Speaker 1: know the specific ad rates for certain people from certain 751 00:38:27,160 --> 00:38:29,880 Speaker 1: frontline members, so it's hard to get into that, but 752 00:38:29,920 --> 00:38:32,360 Speaker 1: I was able to really dig into those kind of 753 00:38:32,360 --> 00:38:35,400 Speaker 1: safe in combents and give you a really astute assessment. 754 00:38:35,520 --> 00:38:38,000 Speaker 1: I hope that answered your question. Money in politics is 755 00:38:38,120 --> 00:38:40,200 Speaker 1: very interesting to a lot of people, and I always 756 00:38:40,239 --> 00:38:44,120 Speaker 1: say your first dollar matters a lot more than your 757 00:38:44,200 --> 00:38:48,279 Speaker 1: one billionth dollar. It has a diminishing effect. So that's 758 00:38:48,360 --> 00:38:49,799 Speaker 1: kind of where I lay on it. I hope that 759 00:38:49,800 --> 00:38:51,920 Speaker 1: answer your question. I found that question really interesting. Was 760 00:38:51,920 --> 00:38:54,280 Speaker 1: a very very smart question, Raphael. Thank you an for listening. 761 00:38:54,480 --> 00:38:57,080 Speaker 1: Thank you all for listening. Please like and subscribe to 762 00:38:57,080 --> 00:38:59,759 Speaker 1: this podcast in the iHeartRadio app, Apple podcast wherever you 763 00:38:59,760 --> 00:39:01,600 Speaker 1: get your podcast, and I will see you next time.