1 00:00:01,800 --> 00:00:06,080 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio the George 2 00:00:06,160 --> 00:00:10,680 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty arm Strong 3 00:00:10,760 --> 00:00:17,520 Speaker 1: and Jetty and he Armstrong and Getty. 4 00:00:23,840 --> 00:00:26,000 Speaker 2: Shum and Hope get back up and remember who in 5 00:00:26,040 --> 00:00:29,200 Speaker 2: the hell we are? We're the Nined States of America. 6 00:00:29,200 --> 00:00:29,560 Speaker 2: Got it. 7 00:00:30,120 --> 00:00:34,200 Speaker 1: That's who we are. Well, good to have them back 8 00:00:35,920 --> 00:00:37,280 Speaker 1: some more time, Michael. 9 00:00:38,000 --> 00:00:40,000 Speaker 2: Hope, get back up and remember who in the hell 10 00:00:40,040 --> 00:00:42,959 Speaker 2: we are. We're the United States of America. 11 00:00:42,960 --> 00:00:44,519 Speaker 1: Got it. That's who we are. 12 00:00:45,280 --> 00:00:47,519 Speaker 3: That's how it was always the best when he'd wind up, 13 00:00:47,520 --> 00:00:50,080 Speaker 3: because I'm gonna nail it here. Oh my god, people 14 00:00:50,080 --> 00:00:52,120 Speaker 3: are gonna come to their feet and carry me around 15 00:00:52,120 --> 00:00:56,360 Speaker 3: this room. Here's that big applause, lying very nice States 16 00:00:56,360 --> 00:00:56,920 Speaker 3: of America. 17 00:00:56,920 --> 00:00:57,279 Speaker 1: Got it? 18 00:00:58,840 --> 00:01:00,959 Speaker 2: And Hope get back up. Remember who in the hell 19 00:01:01,000 --> 00:01:04,240 Speaker 2: we are? Where the United States of America? Got it. 20 00:01:04,840 --> 00:01:07,720 Speaker 4: So here's a warm scannering of applause. 21 00:01:07,840 --> 00:01:11,840 Speaker 3: Some sort of prize for being the most trans friendly 22 00:01:11,880 --> 00:01:15,640 Speaker 3: president in US grade keep mutilating those children from the 23 00:01:15,720 --> 00:01:18,400 Speaker 3: LGBTQ plus community, even though, as it pointed out in 24 00:01:18,440 --> 00:01:20,360 Speaker 3: The New York Times over the weekend, most of the 25 00:01:20,360 --> 00:01:22,720 Speaker 3: country was not near as far down the road as 26 00:01:22,720 --> 00:01:24,399 Speaker 3: he was, and it heard him more than helped him 27 00:01:24,400 --> 00:01:27,479 Speaker 3: in the entire party. Well, and then something leaked out 28 00:01:27,480 --> 00:01:29,600 Speaker 3: the other day. I've got it around here somewhere where the. 29 00:01:31,120 --> 00:01:34,800 Speaker 4: High placed official in his administration realized the activist group 30 00:01:34,880 --> 00:01:39,440 Speaker 4: duped us and they had way weaker evidence than they 31 00:01:39,600 --> 00:01:45,039 Speaker 4: told us. But we'd already committed to including gender appearance 32 00:01:45,120 --> 00:01:48,760 Speaker 4: or whatever as a protected trait, and we couldn't go back, 33 00:01:48,840 --> 00:01:51,520 Speaker 4: So we were kind of stuck. One more from the 34 00:01:51,640 --> 00:01:55,080 Speaker 4: c now old man praising his utterly incompetent press secretary. 35 00:01:55,240 --> 00:01:57,080 Speaker 2: Well, when I took office, I promised to have an 36 00:01:57,080 --> 00:01:59,920 Speaker 2: administration and look like America. 37 00:02:00,240 --> 00:02:01,080 Speaker 3: My promise. 38 00:02:05,600 --> 00:02:09,120 Speaker 1: Where you. 39 00:02:10,520 --> 00:02:12,880 Speaker 2: And not just for the commanding my press sectary. 40 00:02:12,960 --> 00:02:20,440 Speaker 4: Kareem, God, it sounds like you, said, Kareem abdul Japard. Perhaps, yeah, 41 00:02:20,480 --> 00:02:24,600 Speaker 4: she was perhaps the worst most incompetent press secretary in 42 00:02:24,639 --> 00:02:27,959 Speaker 4: the history of our country, laboring under Joe Biden and 43 00:02:28,080 --> 00:02:29,240 Speaker 4: Kamala Harris. 44 00:02:29,480 --> 00:02:32,640 Speaker 3: And once again you got to wonder why his wife 45 00:02:33,040 --> 00:02:37,680 Speaker 3: is trotting him out there to be that way in 46 00:02:37,720 --> 00:02:43,160 Speaker 3: front of crowds. Then who are you diehards in politics 47 00:02:43,160 --> 00:02:46,800 Speaker 3: who are willing to just you know, stand with somebody 48 00:02:46,880 --> 00:02:49,480 Speaker 3: or a party or whatever, no matter what's happening, they 49 00:02:49,480 --> 00:02:55,160 Speaker 3: just don't get it. Similar vain New York Times, very long, 50 00:02:55,280 --> 00:02:59,760 Speaker 3: detailed story about the immigration aspect of the Biden presidency. 51 00:02:59,800 --> 00:03:01,679 Speaker 3: And this will be the rough draft of history for 52 00:03:01,760 --> 00:03:02,959 Speaker 3: some book that nobody will. 53 00:03:02,840 --> 00:03:04,880 Speaker 1: Read someday about how they do this. 54 00:03:05,440 --> 00:03:09,840 Speaker 3: The headline being how Biden ignored warnings and lost America's faith. 55 00:03:09,639 --> 00:03:11,720 Speaker 1: In immigration, and that is exactly what happened. 56 00:03:11,919 --> 00:03:13,960 Speaker 3: This paragraph sums it all up, and then I'll get 57 00:03:13,960 --> 00:03:16,160 Speaker 3: into some of the details. I think we all remember 58 00:03:16,160 --> 00:03:20,480 Speaker 3: how this played out. First, they underestimated the scale of 59 00:03:20,560 --> 00:03:23,679 Speaker 3: migration that was coming. Second, they failed this is the 60 00:03:23,720 --> 00:03:26,400 Speaker 3: New York Times, by the way. Second, they failed to 61 00:03:26,400 --> 00:03:30,040 Speaker 3: appreciate the political reaction to that migration, believing that stronger 62 00:03:30,120 --> 00:03:34,520 Speaker 3: enforcement would alienate Latino and progressive voters and also that 63 00:03:34,560 --> 00:03:37,320 Speaker 3: a border surge would not be an important issue to voters. 64 00:03:37,640 --> 00:03:42,240 Speaker 3: Those calculations would later prove to be mistaken, with many voters, 65 00:03:42,400 --> 00:03:46,680 Speaker 3: including Latinos, citing immigration is a reason for supporting mister Trump. 66 00:03:46,680 --> 00:03:49,080 Speaker 3: In twenty twenty four, they were zero for three on 67 00:03:49,200 --> 00:03:52,600 Speaker 3: that it was a giant scale of people coming through, 68 00:03:52,800 --> 00:03:55,120 Speaker 3: people cared a lot. It was like the number one 69 00:03:55,160 --> 00:03:58,200 Speaker 3: issue until inflation hit. Then it became the number two issue. 70 00:03:58,480 --> 00:04:01,520 Speaker 3: And Latino's vote with Trump because they hated it as 71 00:04:01,600 --> 00:04:04,120 Speaker 3: much as everybody else did. How could you be so wrong? 72 00:04:04,240 --> 00:04:06,840 Speaker 3: It's because you were led by the Twitter crowd. The 73 00:04:06,880 --> 00:04:10,400 Speaker 3: Democratic Party will not be a successful party until they 74 00:04:10,520 --> 00:04:15,200 Speaker 3: finally learn that Twitter isn't real life. And I don't 75 00:04:15,200 --> 00:04:16,560 Speaker 3: know if there. 76 00:04:16,040 --> 00:04:18,000 Speaker 4: Yet or the only thing that saves them is the 77 00:04:18,000 --> 00:04:21,360 Speaker 4: incompetence of the Republican Party. It's the middle one that's 78 00:04:21,400 --> 00:04:23,119 Speaker 4: the most astounding swing and miss. 79 00:04:23,120 --> 00:04:24,360 Speaker 1: They didn't think. 80 00:04:24,279 --> 00:04:27,920 Speaker 4: Voters would react badly to a giant influx of illegal immigration. 81 00:04:28,320 --> 00:04:31,120 Speaker 4: They must be convinced of their own by their own 82 00:04:31,200 --> 00:04:36,520 Speaker 4: rhetoric that only right wing, racist xenophobes want coherent immigration policy. 83 00:04:36,760 --> 00:04:38,480 Speaker 1: What are you kidding? How could you miss that? 84 00:04:38,760 --> 00:04:40,559 Speaker 3: And The New York Times goes through his chief of staff, 85 00:04:40,560 --> 00:04:43,040 Speaker 3: all his top advisors, everybody were telling him over and over, look, 86 00:04:43,080 --> 00:04:44,760 Speaker 3: this is a giant issue for people, and this is 87 00:04:44,760 --> 00:04:47,080 Speaker 3: a disaster, and he just wouldn't. 88 00:04:46,680 --> 00:04:47,719 Speaker 1: Budge for whatever reason. 89 00:04:47,920 --> 00:04:49,880 Speaker 3: So first we'll relive stuff, you know, and then get 90 00:04:49,920 --> 00:04:53,400 Speaker 3: to something I didn't know. It's worth knowing in case 91 00:04:53,400 --> 00:04:55,359 Speaker 3: you ever end up in an argument with somebody about this. 92 00:04:57,480 --> 00:05:01,920 Speaker 3: June fourth, twenty twenty four, so this is toward the 93 00:05:02,040 --> 00:05:05,280 Speaker 3: end of his presidency during the election. The damage had 94 00:05:05,320 --> 00:05:09,119 Speaker 3: already been done at that point. Joe Biden. Finally, five 95 00:05:09,200 --> 00:05:12,760 Speaker 3: months before election day, Biden reversed course on everything he'd 96 00:05:12,800 --> 00:05:16,479 Speaker 3: done so far and issued an order all but closing 97 00:05:16,520 --> 00:05:19,760 Speaker 3: the border to asylum applications, a move that was far 98 00:05:19,839 --> 00:05:22,760 Speaker 3: tougher than the proposals that he had rejected during the 99 00:05:22,760 --> 00:05:25,800 Speaker 3: first year of his office, and border encounters quickly fell, 100 00:05:26,080 --> 00:05:29,880 Speaker 3: of course they did. And we remember the commentary at 101 00:05:29,920 --> 00:05:32,240 Speaker 3: the time. You could have done this on day one 102 00:05:32,279 --> 00:05:35,039 Speaker 3: if you'd wanted, and you claimed you couldn't. You claimed 103 00:05:35,040 --> 00:05:36,800 Speaker 3: that only Congress could do it, and then look, all 104 00:05:36,800 --> 00:05:38,080 Speaker 3: of a sudden, you've done it yourself. 105 00:05:38,120 --> 00:05:40,080 Speaker 1: But so it was such a disaster. 106 00:05:40,200 --> 00:05:42,880 Speaker 3: In the middle of the election, looking like he might 107 00:05:42,920 --> 00:05:46,160 Speaker 3: lose to Trump, he finally closes the border. Why mister 108 00:05:46,200 --> 00:05:49,360 Speaker 3: Biden waited so long to effectively seal the borders become 109 00:05:49,400 --> 00:05:52,240 Speaker 3: one of the defining questions of his presidency. 110 00:05:52,279 --> 00:05:53,360 Speaker 1: Three weeks after. 111 00:05:53,200 --> 00:05:56,279 Speaker 3: Closing the border, the president had his famous debate with 112 00:05:56,320 --> 00:06:00,280 Speaker 3: Donald Trump that was three weeks later, ask why voters 113 00:06:00,279 --> 00:06:03,440 Speaker 3: should trust him to solve the crisis, Mister Biden flubbed it. 114 00:06:03,600 --> 00:06:06,520 Speaker 3: According to The New York Times, I'll reread this answer 115 00:06:07,320 --> 00:06:09,919 Speaker 3: what I've done since I've changed the law. What's happened, 116 00:06:10,279 --> 00:06:13,520 Speaker 3: said mister Biden, who had not changed the law. I've 117 00:06:13,600 --> 00:06:16,240 Speaker 3: changed it in a way that he claimed he changed 118 00:06:16,240 --> 00:06:18,599 Speaker 3: the law. The law was already there. They just enforced 119 00:06:18,600 --> 00:06:20,640 Speaker 3: the law that was already there. The New York Times 120 00:06:20,680 --> 00:06:22,920 Speaker 3: pointing that I've changed it in a way that now 121 00:06:22,920 --> 00:06:25,640 Speaker 3: you're in a situation where there are forty fewer people 122 00:06:25,680 --> 00:06:28,800 Speaker 3: coming across the border illegally. I'm going to continue to 123 00:06:28,839 --> 00:06:31,680 Speaker 3: move until we get the total ban on the total 124 00:06:31,720 --> 00:06:34,520 Speaker 3: initiative relative to what we're going to more with the 125 00:06:34,520 --> 00:06:39,000 Speaker 3: border patrol and more asylum officers. And that's when Boss 126 00:06:39,120 --> 00:06:42,600 Speaker 3: Trump unleashed his famous I really don't know what he 127 00:06:42,680 --> 00:06:44,520 Speaker 3: said at the end of that sentence. I don't think 128 00:06:44,560 --> 00:06:48,599 Speaker 3: he knows what he said either, Yeah, because it. 129 00:06:48,680 --> 00:06:51,320 Speaker 1: Was completely incomprehensible. That's right. 130 00:06:51,400 --> 00:06:58,000 Speaker 4: I always go back to the crazy uh abortion illegal 131 00:06:58,040 --> 00:07:02,039 Speaker 4: immigration rate own sisters nonsense. 132 00:07:02,080 --> 00:07:05,120 Speaker 3: I forgot about that one, just the rambling nonsense. I 133 00:07:05,160 --> 00:07:07,400 Speaker 3: won't read this again, but it made no sense. Trump 134 00:07:07,400 --> 00:07:09,400 Speaker 3: said that whole thing. He doesn't even know what he said, and, 135 00:07:09,440 --> 00:07:13,440 Speaker 3: as The New York Times says in a very good sentence. 136 00:07:13,760 --> 00:07:15,440 Speaker 1: Within a month, mister Biden left the. 137 00:07:15,480 --> 00:07:21,040 Speaker 3: Race after that, making their point. But here's the part 138 00:07:21,120 --> 00:07:23,800 Speaker 3: that I didn't know, because you often hear this. The 139 00:07:23,800 --> 00:07:28,720 Speaker 3: pushback has been the Congress had a plan to deal 140 00:07:28,720 --> 00:07:33,800 Speaker 3: with the immigration thing. Trump intervened, told Republicans not to 141 00:07:33,920 --> 00:07:37,080 Speaker 3: vote for it, which torpedoed it, and that putting Biden 142 00:07:37,080 --> 00:07:40,520 Speaker 3: in a situation where he had no choice. Okay, Democrats 143 00:07:40,520 --> 00:07:46,280 Speaker 3: blamed mister Trump for sinking the deal, but Senator Langford, Republican, 144 00:07:46,800 --> 00:07:50,560 Speaker 3: pointed to another culprit, the Biden administration's own foot dragging. 145 00:07:50,880 --> 00:07:54,440 Speaker 3: When negotiations had gained momentum the previous fall, because the 146 00:07:54,560 --> 00:07:56,800 Speaker 3: American people were all worked up about this and wanted 147 00:07:56,800 --> 00:08:00,240 Speaker 3: something done, the White House had refused to get involve 148 00:08:00,440 --> 00:08:05,400 Speaker 3: the Senate negotiations, according to Senator Chris Murphy, Democrat, and 149 00:08:05,520 --> 00:08:09,640 Speaker 3: Langford the Republican, both of them saying that Biden wouldn't 150 00:08:09,680 --> 00:08:14,040 Speaker 3: get involved. We don't want our fingerprints on these negotiations. 151 00:08:14,240 --> 00:08:17,760 Speaker 3: The White House had told Murphy and Langford. Only as 152 00:08:17,840 --> 00:08:21,080 Speaker 3: border crossings continued Despike did the administration relent. 153 00:08:21,160 --> 00:08:24,520 Speaker 1: Looking back, Langford said he believed the delay was critical. 154 00:08:24,640 --> 00:08:26,760 Speaker 3: If Biden had signed on sooner and the White House 155 00:08:26,760 --> 00:08:30,880 Speaker 3: got involved at that point before Trump did, it probably 156 00:08:31,240 --> 00:08:33,880 Speaker 3: could have had the momentum to pass and they could 157 00:08:33,880 --> 00:08:36,240 Speaker 3: have taken this off their plate as an issue. 158 00:08:36,559 --> 00:08:37,880 Speaker 1: But it got kicked down the. 159 00:08:37,920 --> 00:08:40,520 Speaker 3: Road to the point where mister Trump was the de 160 00:08:40,600 --> 00:08:43,959 Speaker 3: facto nominee at the beginning, when Biden was saying, we 161 00:08:44,000 --> 00:08:45,960 Speaker 3: don't want our fingerprints on this if you do it, 162 00:08:46,200 --> 00:08:50,319 Speaker 3: because they were so scared of the Wolkes and the 163 00:08:51,120 --> 00:08:55,000 Speaker 3: Latino community blowback at that site, believed that narrative. 164 00:08:55,080 --> 00:08:55,280 Speaker 1: Yeh. 165 00:08:55,320 --> 00:08:58,760 Speaker 3: At that point Trump had just announced and desantists looked 166 00:08:58,800 --> 00:09:00,520 Speaker 3: like a real threat, and it was isn't clear that 167 00:09:00,559 --> 00:09:02,840 Speaker 3: Trump had the nomination. He didn't have the power to 168 00:09:02,880 --> 00:09:05,760 Speaker 3: tell Republicans at that point. So is the Biden's fault 169 00:09:05,800 --> 00:09:08,800 Speaker 3: that that legislation never happened. They were too scared to 170 00:09:08,840 --> 00:09:11,320 Speaker 3: put their name on it and fight for it. Why 171 00:09:11,320 --> 00:09:13,520 Speaker 3: about that an interesting piece of history that I'd even 172 00:09:13,520 --> 00:09:16,559 Speaker 3: get involved in the conversation, right, I mean, that's a 173 00:09:16,640 --> 00:09:18,199 Speaker 3: level of paranoia right there. 174 00:09:18,559 --> 00:09:23,080 Speaker 1: God, i'd say so weak, so incredibly weak. Man. 175 00:09:23,160 --> 00:09:25,520 Speaker 3: It's the opposite of Donald Trump, who, as we all know, 176 00:09:25,520 --> 00:09:27,720 Speaker 3: as a bull in a china shop. Donald Trump was 177 00:09:27,720 --> 00:09:30,200 Speaker 3: a mouse, and I mean Joe Biden was a mouse 178 00:09:30,240 --> 00:09:35,280 Speaker 3: in a china shop. So worried about ruffling any feathers whatsoever. Yeah, yeah, 179 00:09:35,360 --> 00:09:38,800 Speaker 3: what a miserable, incompetent president. Quick word from our friends 180 00:09:38,800 --> 00:09:39,600 Speaker 3: at Omaha Stakes. 181 00:09:39,600 --> 00:09:42,000 Speaker 4: They're putting out the full court press right now to 182 00:09:42,120 --> 00:09:44,920 Speaker 4: make sure your gifts get to your loved ones in 183 00:09:45,040 --> 00:09:48,600 Speaker 4: time for Christmas. 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You told your own 208 00:11:05,480 --> 00:11:08,640 Speaker 3: Democratic Senate leadership, we don't want our. 209 00:11:08,520 --> 00:11:12,920 Speaker 1: Fingerprints on this. Wow, that is so weak. 210 00:11:13,480 --> 00:11:16,840 Speaker 4: Well, they deserve to lose the election to a very 211 00:11:17,080 --> 00:11:23,040 Speaker 4: unpopular Donald Trump. Uh yeah, yeah, craziness. That is wild 212 00:11:23,360 --> 00:11:25,520 Speaker 4: political malpractice. 213 00:11:25,880 --> 00:11:26,640 Speaker 1: How do more. 214 00:11:26,679 --> 00:11:30,000 Speaker 3: People not understand that the successful presidents get stuff done 215 00:11:30,200 --> 00:11:35,240 Speaker 3: their way? Donald Trump, Barack Obama, George Bush. They do 216 00:11:35,320 --> 00:11:38,480 Speaker 3: what they want to do out loud and fight. 217 00:11:38,280 --> 00:11:38,839 Speaker 1: For it hard. 218 00:11:39,280 --> 00:11:43,160 Speaker 3: They're not super scared of what people in their own party, 219 00:11:42,960 --> 00:11:44,280 Speaker 3: and so they don't say anything. 220 00:11:44,760 --> 00:11:49,040 Speaker 4: But what was Biden's reputation is entire career. He was 221 00:11:49,080 --> 00:11:52,840 Speaker 4: a very glib, backslapping guy who would hold his finger 222 00:11:52,920 --> 00:11:54,760 Speaker 4: up in the air figure out which way the wind blows. 223 00:11:55,040 --> 00:11:57,960 Speaker 4: And he had no beliefs or character other than this 224 00:11:58,040 --> 00:12:01,439 Speaker 4: is what's popular right now. As president, he just continued 225 00:12:01,440 --> 00:12:03,000 Speaker 4: that groove. It's not that shocking. 226 00:12:04,240 --> 00:12:08,280 Speaker 3: Remember when I won that ten pound box of toffee 227 00:12:08,360 --> 00:12:12,280 Speaker 3: the other night, Oh yeah, Christmas concert homemade coffee, best 228 00:12:12,280 --> 00:12:15,000 Speaker 3: toffee ever read, were about five pounds through me and 229 00:12:15,040 --> 00:12:15,360 Speaker 3: the boys. 230 00:12:15,440 --> 00:12:16,680 Speaker 1: Pretty good effort over the weekend. 231 00:12:16,720 --> 00:12:19,920 Speaker 3: Eating five pounds of toffee between three three dudes. 232 00:12:20,280 --> 00:12:21,160 Speaker 1: That is impressive. 233 00:12:21,640 --> 00:12:25,280 Speaker 4: My sweet bride doesn't love to cook, but she loves 234 00:12:25,280 --> 00:12:28,160 Speaker 4: to bake. And back in the day, she loved to 235 00:12:28,240 --> 00:12:32,439 Speaker 4: make candy, and she would make peanut brittle that would 236 00:12:32,440 --> 00:12:34,040 Speaker 4: make you weep with joy. 237 00:12:34,200 --> 00:12:38,119 Speaker 1: I mean it was unpainted believably good. 238 00:12:37,960 --> 00:12:42,319 Speaker 4: Oh my god, and with joy and toffee and all 239 00:12:42,400 --> 00:12:44,000 Speaker 4: sorts of stuff like that. And it was a few 240 00:12:44,080 --> 00:12:46,960 Speaker 4: years into our marriage we came to a mutual agreement, 241 00:12:47,040 --> 00:12:48,239 Speaker 4: this has gotta stop. 242 00:12:49,000 --> 00:12:51,679 Speaker 3: That's the problem you get. We're gonna be toothless, and 243 00:12:51,720 --> 00:12:52,559 Speaker 3: eight hundred. 244 00:12:52,240 --> 00:12:57,040 Speaker 1: Pounds of Disney toothless. Please too much sugar. 245 00:12:57,120 --> 00:12:59,320 Speaker 3: Well, actually, you're actually gonna eat the teeth out of 246 00:12:59,360 --> 00:13:02,640 Speaker 3: your head. Quite a thing as a man rot him 247 00:13:02,720 --> 00:13:05,640 Speaker 3: right out of there in a first world country. Oh Joe, 248 00:13:05,800 --> 00:13:08,760 Speaker 3: no teeth, He just won't stop eating toffee and whatnot. 249 00:13:09,320 --> 00:13:11,680 Speaker 4: Does Joe have a meth problem. He's only got like 250 00:13:11,720 --> 00:13:14,959 Speaker 4: three teeth. No, it's peanut brittle. Actually, he's got a 251 00:13:15,000 --> 00:13:16,320 Speaker 4: peanut brittle problem. 252 00:13:16,360 --> 00:13:18,440 Speaker 3: But you know, thought he'd stopped after he lost the 253 00:13:18,440 --> 00:13:20,520 Speaker 3: first one to ten teeth. 254 00:13:20,880 --> 00:13:24,480 Speaker 1: Now his fingers are constantly sticky. He's always got a 255 00:13:24,480 --> 00:13:27,480 Speaker 1: big slab of it his hands. It's completely toothless at 256 00:13:27,520 --> 00:13:29,160 Speaker 1: this point. Now, I kind of has to match it 257 00:13:29,240 --> 00:13:33,839 Speaker 1: up with a spoon sweeking gum it coming up. 258 00:13:34,240 --> 00:13:38,880 Speaker 4: Ilhan Omar attempting to answer for the rampant theft of 259 00:13:38,920 --> 00:13:44,320 Speaker 4: the funds there in Minneapolis, plus America's welfare state just 260 00:13:44,880 --> 00:13:48,640 Speaker 4: gush his money. This is not an outlier. There is 261 00:13:48,679 --> 00:13:50,280 Speaker 4: a lesson to be learned here. I hope you can 262 00:13:50,320 --> 00:13:50,840 Speaker 4: stay with us. 263 00:13:51,280 --> 00:13:53,559 Speaker 2: We're the United States of America. 264 00:13:54,400 --> 00:13:55,079 Speaker 1: That's who we are. 265 00:14:00,000 --> 00:14:02,000 Speaker 5: We want to give all the glory to God. We're 266 00:14:02,000 --> 00:14:04,360 Speaker 5: never supposed to be his decision before the glory of God. 267 00:14:04,440 --> 00:14:07,360 Speaker 5: The great coach is great teams we have around us. 268 00:14:07,640 --> 00:14:09,839 Speaker 5: We were able to pull this dog. Whoever thought the 269 00:14:09,840 --> 00:14:12,400 Speaker 5: who's would be here? But now the Hoosiers are flipping champs. 270 00:14:12,480 --> 00:14:16,800 Speaker 1: Let's go woy I got's excited? Cheer up, would you? 271 00:14:17,120 --> 00:14:20,240 Speaker 3: That's Fernando Mendoza of the Indiana Hoosiers, are the number 272 00:14:20,320 --> 00:14:23,720 Speaker 3: one seed in the college football playoffs, as they named 273 00:14:23,720 --> 00:14:25,800 Speaker 3: the twelve teams after a whole bunch of big games 274 00:14:25,800 --> 00:14:26,320 Speaker 3: this weekend. 275 00:14:26,480 --> 00:14:31,320 Speaker 1: He goes on, you guys call. 276 00:14:31,240 --> 00:14:33,760 Speaker 6: Yourself a bunch of misfits who found. 277 00:14:33,520 --> 00:14:36,560 Speaker 1: The right home at Indiana? Why was this the right 278 00:14:36,560 --> 00:14:37,440 Speaker 1: place for this crew? 279 00:14:38,120 --> 00:14:40,440 Speaker 5: Is the right place for process orange? And we're going 280 00:14:40,520 --> 00:14:43,760 Speaker 5: day by days off at the line, the defense, the coaches, 281 00:14:43,800 --> 00:14:47,000 Speaker 5: special teams. We're all processes oranges to one goal. That's 282 00:14:47,040 --> 00:14:49,480 Speaker 5: our thing is we're brothers. We can track teams to 283 00:14:49,520 --> 00:14:52,320 Speaker 5: the defense because we know that we're gonna stick together and. 284 00:14:52,280 --> 00:14:53,600 Speaker 1: We're the strongest glue ever. 285 00:14:55,040 --> 00:14:58,000 Speaker 3: All right, can I earn a little of number one again? 286 00:14:58,040 --> 00:14:59,960 Speaker 3: The first clip again? That guy is he is a fighter. 287 00:15:00,400 --> 00:15:02,520 Speaker 5: You want to give all the glory to God. We're 288 00:15:02,560 --> 00:15:04,920 Speaker 5: never supposed to be the decision before the glory God, 289 00:15:05,000 --> 00:15:08,320 Speaker 5: the great coaches, great teams. I'm around us school. We 290 00:15:08,320 --> 00:15:10,600 Speaker 5: were able to pull this off. Whoever thought that it 291 00:15:10,600 --> 00:15:13,000 Speaker 5: would be here? But not the loss or flipping champs 292 00:15:13,040 --> 00:15:13,360 Speaker 5: let go. 293 00:15:14,120 --> 00:15:16,360 Speaker 1: That's after Indiana upset Ohio State. 294 00:15:16,360 --> 00:15:18,680 Speaker 3: Although it was an upset and they were number one 295 00:15:18,760 --> 00:15:20,960 Speaker 3: ranked team I think when they won, so that's a 296 00:15:20,960 --> 00:15:21,600 Speaker 3: weird upset. 297 00:15:22,200 --> 00:15:26,360 Speaker 1: I just love Indiana. I think Ohio State was number one? 298 00:15:26,440 --> 00:15:27,000 Speaker 1: Was it okay? 299 00:15:27,080 --> 00:15:30,040 Speaker 3: Yeah, that guy was excited, though he is I wonder 300 00:15:30,040 --> 00:15:31,160 Speaker 3: if he always always that way. 301 00:15:31,640 --> 00:15:33,760 Speaker 4: Good for him, good for the very exciting. I've never 302 00:15:33,800 --> 00:15:37,320 Speaker 4: won a giant football championship, but I'd imagine it's quite 303 00:15:37,440 --> 00:15:38,160 Speaker 4: quite cheery. 304 00:15:38,840 --> 00:15:41,320 Speaker 3: Crazy thing about college football is, if you're old enough, 305 00:15:41,360 --> 00:15:44,440 Speaker 3: you remember this way back in the day, they didn't play, 306 00:15:44,600 --> 00:15:47,840 Speaker 3: They didn't have any games. I mean, they just the 307 00:15:48,480 --> 00:15:51,080 Speaker 3: writers would vote on who they thought they call it. 308 00:15:51,160 --> 00:15:53,480 Speaker 3: The champion was at the end of the season, right 309 00:15:53,960 --> 00:15:56,360 Speaker 3: after all the games. Just I think that was the 310 00:15:56,360 --> 00:15:56,800 Speaker 3: best team. 311 00:15:56,960 --> 00:15:59,880 Speaker 4: What and then there would be bitter disagreement from coast 312 00:15:59,880 --> 00:16:02,120 Speaker 4: to coast. Now we have a big playoff system, and 313 00:16:02,160 --> 00:16:04,160 Speaker 4: there's bitter disagreement from coast to coast. 314 00:16:04,280 --> 00:16:05,760 Speaker 1: Yeah yeah, yess yeah. 315 00:16:05,840 --> 00:16:08,600 Speaker 3: So Notre Dame didn't make the twelve and so they've 316 00:16:08,640 --> 00:16:10,600 Speaker 3: refused to play in any bowl game. They've just said 317 00:16:10,600 --> 00:16:13,200 Speaker 3: that we deserve to be But so whoever gets left out, 318 00:16:13,200 --> 00:16:13,760 Speaker 3: it's always going. 319 00:16:13,880 --> 00:16:17,880 Speaker 1: But at least if you have twelve teams, Yeah. 320 00:16:17,280 --> 00:16:21,280 Speaker 3: The top half dozen that absolutely deserved to be there 321 00:16:21,280 --> 00:16:23,400 Speaker 3: are going to make it. When you had people just 322 00:16:23,600 --> 00:16:25,880 Speaker 3: voting on who the best team was, that was crazy. 323 00:16:26,000 --> 00:16:28,160 Speaker 1: I can't believe that lasted as many years as it did. 324 00:16:29,120 --> 00:16:31,480 Speaker 1: Uh yeah, I agree. It was kind of silly and ridiculous. 325 00:16:31,520 --> 00:16:34,440 Speaker 4: Sothough, college football has now changed in so many different ways. 326 00:16:34,440 --> 00:16:36,160 Speaker 4: What it looks like in five years nobody knows. 327 00:16:36,200 --> 00:16:37,760 Speaker 1: But now have you heard that crowd there? 328 00:16:37,800 --> 00:16:39,640 Speaker 3: It sounded like there's plenty of people still showing up 329 00:16:39,680 --> 00:16:41,040 Speaker 3: the games and really enjoying it. 330 00:16:41,440 --> 00:16:44,000 Speaker 4: Oh heck yeah, absolutely, yeah. I watched some great college 331 00:16:44,000 --> 00:16:48,240 Speaker 4: football over the weekend. It's it's triple a NFL. The 332 00:16:48,280 --> 00:16:52,720 Speaker 4: college football is they happen to affiliate themselves with universities 333 00:16:52,960 --> 00:16:55,960 Speaker 4: for some reason, which is odd. It could be, you know, 334 00:16:56,160 --> 00:16:59,800 Speaker 4: auto manufacturing plants, or they might as well associate themselves 335 00:16:59,800 --> 00:17:03,800 Speaker 4: with the local meatpacking plant or something like that is 336 00:17:03,840 --> 00:17:04,600 Speaker 4: a university. 337 00:17:05,320 --> 00:17:06,679 Speaker 1: It's kind of quaint. 338 00:17:08,040 --> 00:17:11,199 Speaker 3: That's that's always been the whole college sports saying. I 339 00:17:11,280 --> 00:17:14,359 Speaker 3: like following college sports, but it being part of the 340 00:17:14,400 --> 00:17:21,159 Speaker 3: whole college thing, with the like intending pretending they're regular students, 341 00:17:21,200 --> 00:17:23,800 Speaker 3: and that hasn't been true for many, many many years. 342 00:17:24,280 --> 00:17:28,960 Speaker 1: Big matchup this weekend. The Microsoft Spartans are against the 343 00:17:29,640 --> 00:17:32,320 Speaker 1: you know, the Google Nitney Allons or whatever. 344 00:17:33,080 --> 00:17:36,240 Speaker 3: Why not if you're not in the premier sports, it's 345 00:17:36,440 --> 00:17:37,720 Speaker 3: you're just a student athlete. 346 00:17:37,800 --> 00:17:37,960 Speaker 1: No. 347 00:17:38,520 --> 00:17:41,800 Speaker 3: I mean, I had a bunch of babysitters when my 348 00:17:41,880 --> 00:17:45,720 Speaker 3: kids were little that were Division one swimmers at the 349 00:17:45,760 --> 00:17:48,520 Speaker 3: local college. And you know, you're not making any money 350 00:17:48,520 --> 00:17:50,879 Speaker 3: off of that, with any future being pro or anything. 351 00:17:50,920 --> 00:17:52,560 Speaker 3: You're just competing in a sport. 352 00:17:52,359 --> 00:17:53,639 Speaker 1: And going to school. 353 00:17:54,280 --> 00:17:57,000 Speaker 4: Made the point briefly last week want to hammer at home. 354 00:17:57,080 --> 00:18:00,719 Speaker 4: The takeaway from the giant Samali theft ring thing is 355 00:18:00,720 --> 00:18:03,600 Speaker 4: not an immigration conclusion. 356 00:18:03,080 --> 00:18:04,440 Speaker 1: Although that's part of it. 357 00:18:04,800 --> 00:18:07,920 Speaker 4: What we really need to capitalize on is people's awareness 358 00:18:07,960 --> 00:18:11,920 Speaker 4: that our welfare state just gush his money. Nobody even 359 00:18:12,200 --> 00:18:14,920 Speaker 4: cares more on that to come. Joe doesn't care about 360 00:18:14,960 --> 00:18:16,600 Speaker 4: the hungry. That's my takeaway. 361 00:18:16,840 --> 00:18:20,040 Speaker 1: Good takeaway, yep, Armstrong and Getty. 362 00:18:21,320 --> 00:18:24,479 Speaker 3: So a number of publications are making a really big 363 00:18:24,600 --> 00:18:30,719 Speaker 3: deal out of this Netflix, HBO, Warner Brothers thing and 364 00:18:30,760 --> 00:18:33,639 Speaker 3: how it's going to affect all of entertainment, and I 365 00:18:33,640 --> 00:18:35,520 Speaker 3: don't quite understand it, but we'll delve into that a 366 00:18:35,520 --> 00:18:36,160 Speaker 3: little bit later. 367 00:18:36,720 --> 00:18:39,160 Speaker 4: It will end movies and storytelling as we know them. 368 00:18:39,240 --> 00:18:42,760 Speaker 4: Jack also the stage, there will be no TV. Storytelling 369 00:18:42,800 --> 00:18:45,040 Speaker 4: will come to an end. Yes, something weird happens to 370 00:18:45,040 --> 00:18:48,320 Speaker 4: you at the grocery. Story will be unable to spin 371 00:18:48,400 --> 00:18:51,919 Speaker 4: that yarn. I'm afraid with this new merger anyway, this 372 00:18:52,000 --> 00:18:54,520 Speaker 4: is funny. Nelly Bowles in The New York Times, leading 373 00:18:54,600 --> 00:18:57,760 Speaker 4: us brilliantly into the I'm sorry she's in the free 374 00:18:57,760 --> 00:18:59,800 Speaker 4: press talking about the New York Times, leading us brilliantly 375 00:18:59,800 --> 00:19:03,680 Speaker 4: and the topic of ilhan Omar and rampant welfare fraud 376 00:19:03,680 --> 00:19:06,199 Speaker 4: and the rest of it. Nelly writes, the perfect New 377 00:19:06,280 --> 00:19:07,679 Speaker 4: York Times headline does exist. 378 00:19:07,720 --> 00:19:09,600 Speaker 1: We found it. This is a story from. 379 00:19:09,440 --> 00:19:11,240 Speaker 4: The end of November about a man who's a blue 380 00:19:11,240 --> 00:19:14,240 Speaker 4: collar worker in Minnesota. The other is an illegal immigrant 381 00:19:14,280 --> 00:19:18,719 Speaker 4: who stole his identity. Here's your headline. Two men, one identity. 382 00:19:18,920 --> 00:19:23,080 Speaker 4: They both paid the price. Oh wow, the blue collar 383 00:19:23,119 --> 00:19:25,640 Speaker 4: worker had to pay thousands of dollars to the IRS 384 00:19:25,760 --> 00:19:28,280 Speaker 4: tanks to the theft. The guy who stole his identity then 385 00:19:28,359 --> 00:19:31,160 Speaker 4: got in trouble for stealing his identity. I just love 386 00:19:31,240 --> 00:19:34,719 Speaker 4: that the framing is like two equally guilty men, you 387 00:19:34,800 --> 00:19:39,199 Speaker 4: decide who got it worse. Oh wow, they have the 388 00:19:39,200 --> 00:19:42,080 Speaker 4: same identity, But what is identity really? You're supposed to 389 00:19:42,119 --> 00:19:44,439 Speaker 4: read this and think, can't they just share? Who am 390 00:19:44,480 --> 00:19:48,320 Speaker 4: I to need my own Social Security number? Rude and selfish? 391 00:19:48,480 --> 00:19:52,200 Speaker 3: Well, that doesn't even sound like there's anybody did anything wrong. 392 00:19:52,280 --> 00:19:55,119 Speaker 1: It's just like an asteroid fell on two guys heads. 393 00:19:55,320 --> 00:19:57,560 Speaker 3: I mean, if something bad happened to two people just 394 00:19:57,560 --> 00:19:59,760 Speaker 3: out of nowhere, what an interesting story. 395 00:20:00,240 --> 00:20:03,399 Speaker 4: We'll get back to Nelly Bowles and theft from the 396 00:20:03,400 --> 00:20:07,520 Speaker 4: welfare state in general, after tipping our cap to America 397 00:20:07,680 --> 00:20:11,560 Speaker 4: hating Somali immigrant to ilhan Omar, who was making the 398 00:20:12,160 --> 00:20:17,760 Speaker 4: rounds trying to spin the Somali community. Not the entire community, certainly, 399 00:20:17,840 --> 00:20:21,160 Speaker 4: but the enormous theft of taxpayer funds within the Somali 400 00:20:21,160 --> 00:20:24,160 Speaker 4: community there in beautiful of Minneapolis St. 401 00:20:24,280 --> 00:20:26,800 Speaker 1: Paul. Here she is with Margaret Brennan. 402 00:20:27,080 --> 00:20:29,879 Speaker 7: The Binary Justice Department called it the largest COVID fraud 403 00:20:30,000 --> 00:20:34,000 Speaker 7: scheme in the country, and this was pocketing COVID era 404 00:20:34,080 --> 00:20:37,280 Speaker 7: welfare funds. More than a billion dollars in taxpayer money 405 00:20:37,320 --> 00:20:41,359 Speaker 7: that was stolen. It was pretty pretty shocking. All the 406 00:20:41,400 --> 00:20:45,280 Speaker 7: eighty seven people charged, all but eight are of Somali descent, 407 00:20:45,480 --> 00:20:49,600 Speaker 7: and that has added to the spotlight being put specifically 408 00:20:50,040 --> 00:20:54,399 Speaker 7: on your community. Why do you think this fraud was 409 00:20:54,400 --> 00:20:56,200 Speaker 7: allowed to get so widespread? 410 00:20:58,119 --> 00:21:01,040 Speaker 8: I want to say, you know, this so has an 411 00:21:01,119 --> 00:21:08,199 Speaker 8: impact on Somali's because we are also taxpayers in Minnesota. 412 00:21:09,080 --> 00:21:13,879 Speaker 8: We also could have benefited from the program and the 413 00:21:13,920 --> 00:21:18,520 Speaker 8: money that was stolen, and so it's been really frustrating 414 00:21:19,000 --> 00:21:23,560 Speaker 8: for people to not acknowledge the fact that we're you know, 415 00:21:23,640 --> 00:21:28,920 Speaker 8: we're also as as Minnesota as as taxpayers, really upset 416 00:21:29,160 --> 00:21:31,840 Speaker 8: and angry about the fraud that has occurred. 417 00:21:32,200 --> 00:21:35,159 Speaker 3: Good kay Margaret Brennan to ask the question, She asked, 418 00:21:35,240 --> 00:21:39,400 Speaker 3: I think I'm surprised she went that far toward pointing 419 00:21:39,400 --> 00:21:42,960 Speaker 3: out the Somali angle. Well, and I love ilhan Omar saying, hey, 420 00:21:43,119 --> 00:21:46,679 Speaker 3: we're the victims of this, right, We're the victims of 421 00:21:46,720 --> 00:21:50,359 Speaker 3: our theft. And of course again it's not the entire 422 00:21:50,359 --> 00:21:52,080 Speaker 3: and not everybody participated. 423 00:21:52,119 --> 00:21:55,200 Speaker 1: It was a number of people. But uh, and then 424 00:21:55,600 --> 00:21:58,080 Speaker 1: they get into a little more and see see how 425 00:21:58,160 --> 00:21:58,439 Speaker 1: you like. 426 00:21:58,480 --> 00:22:01,199 Speaker 4: Ilhan Omar's response is to the various questions ninety two. 427 00:22:01,280 --> 00:22:03,719 Speaker 7: Michael, one of the initial defenses by the organization at 428 00:22:03,720 --> 00:22:06,560 Speaker 7: the heart of the fraud Feeding our Future was to 429 00:22:06,560 --> 00:22:09,760 Speaker 7: claim the probe was due to racism. Do you think 430 00:22:09,920 --> 00:22:12,760 Speaker 7: that this was all about negligence or that it was 431 00:22:12,800 --> 00:22:15,879 Speaker 7: like political fear of alienating the Somali community. 432 00:22:16,400 --> 00:22:20,800 Speaker 8: So you have to remember that the women who let 433 00:22:20,880 --> 00:22:25,400 Speaker 8: the program is a Caucasian woman, and that was her 434 00:22:25,520 --> 00:22:30,040 Speaker 8: way of making sure that this would continue to happen 435 00:22:30,480 --> 00:22:34,879 Speaker 8: by using whatever rhetoric that was available to her. We 436 00:22:34,960 --> 00:22:38,480 Speaker 8: do know that when the money was stopped, they did 437 00:22:38,600 --> 00:22:43,840 Speaker 8: sue the age. Attorney General Keith Ellison defended the department 438 00:22:44,960 --> 00:22:49,639 Speaker 8: in that lawsuit. It was a judge that said it 439 00:22:49,760 --> 00:22:53,040 Speaker 8: should continue, that money should continue to go out. And 440 00:22:53,080 --> 00:22:56,280 Speaker 8: so this wasn't something that people were not looking at. 441 00:22:56,880 --> 00:23:00,000 Speaker 8: There was always those those alarms and we will continue 442 00:23:00,240 --> 00:23:03,359 Speaker 8: to understand where things might have gone wrong. As these 443 00:23:03,359 --> 00:23:08,800 Speaker 8: investigations continue, and as these fosters are prosecuted and sent 444 00:23:08,840 --> 00:23:09,160 Speaker 8: to jail. 445 00:23:09,920 --> 00:23:12,119 Speaker 4: Yeah, the alarms went off, and you and your people 446 00:23:12,200 --> 00:23:14,679 Speaker 4: silenced them over and over again by threatening, you know, 447 00:23:14,720 --> 00:23:16,840 Speaker 4: they would lose the Somali voter, you would call them 448 00:23:16,920 --> 00:23:20,840 Speaker 4: racists or what have you. It was a woman, Caucasian 449 00:23:20,880 --> 00:23:23,840 Speaker 4: woman running the scam, she points out. Okay, yeah, put 450 00:23:23,880 --> 00:23:26,720 Speaker 4: her in jail for a very very long time. And 451 00:23:26,760 --> 00:23:29,960 Speaker 4: then you got Tim Walls, who famously was on Meet 452 00:23:30,000 --> 00:23:33,399 Speaker 4: the Press last week and said this ninety three Michael, 453 00:23:33,640 --> 00:23:34,240 Speaker 4: we'll take it on. 454 00:23:34,400 --> 00:23:35,400 Speaker 1: We'll put folks in jail. 455 00:23:35,440 --> 00:23:37,440 Speaker 6: I don't care what your nationality is. I don't care 456 00:23:37,480 --> 00:23:40,359 Speaker 6: who your religion is, your color, if you're committing crimes. 457 00:23:40,359 --> 00:23:44,000 Speaker 6: These are programs that were meant to serve students with autism, 458 00:23:44,320 --> 00:23:48,240 Speaker 6: to housing, and to making sure people had enough to eat. 459 00:23:48,440 --> 00:23:52,320 Speaker 6: There's a reason Minnesota ranks as the top lowest childhood poverty, 460 00:23:52,400 --> 00:23:55,200 Speaker 6: best place for children to live. People are taking advantage 461 00:23:55,200 --> 00:23:57,200 Speaker 6: that they're going to prison, all. 462 00:23:57,160 --> 00:23:58,080 Speaker 1: Right, tamp on Tim. 463 00:23:58,160 --> 00:24:01,239 Speaker 4: So he also was asked, well, you take responsibility for 464 00:24:01,320 --> 00:24:05,119 Speaker 4: the rampant theft, and he said I'll take responsibility for 465 00:24:05,240 --> 00:24:06,600 Speaker 4: putting people in jail. 466 00:24:07,160 --> 00:24:11,040 Speaker 1: Here's the reporter following up with the governor. Tim, you said. 467 00:24:10,840 --> 00:24:14,080 Speaker 6: That you take responsibility for putting people in jail, but 468 00:24:14,240 --> 00:24:17,159 Speaker 6: all the fronts of arts in federal prostitutions. Why did 469 00:24:17,240 --> 00:24:21,000 Speaker 6: you say the prosecut I didn't erroneously say that we're 470 00:24:21,000 --> 00:24:23,440 Speaker 6: the ones that our agencies are bringing it up. We're 471 00:24:23,480 --> 00:24:25,680 Speaker 6: referring them over. This is how this works. We were 472 00:24:25,680 --> 00:24:27,440 Speaker 6: through it through the BCA. This is Drew Evans and 473 00:24:27,480 --> 00:24:30,720 Speaker 6: the superintendent BCA. These are Minnesota folks who work in 474 00:24:30,720 --> 00:24:33,120 Speaker 6: state government, who are the ones that are helping build 475 00:24:33,119 --> 00:24:34,200 Speaker 6: the case turn it over to. 476 00:24:34,160 --> 00:24:37,760 Speaker 1: The federal authorities. So that is totally false. That is 477 00:24:37,840 --> 00:24:38,520 Speaker 1: totally wrong. 478 00:24:38,840 --> 00:24:42,000 Speaker 6: It is Minnesota's It is Minnesota's investigators. It is the 479 00:24:42,040 --> 00:24:45,120 Speaker 6: igs that are over there, Investigator Clark, that are doing 480 00:24:45,160 --> 00:24:50,040 Speaker 6: the things of putting people in jails, the federal laws 481 00:24:50,040 --> 00:24:52,600 Speaker 6: that they're they're choosing to do federal prosecutions. We will 482 00:24:52,600 --> 00:24:55,639 Speaker 6: prosecute on every single thing we can. In many cases 483 00:24:55,680 --> 00:24:58,000 Speaker 6: we get longer ones. Is your assertion is that we 484 00:24:58,119 --> 00:25:01,280 Speaker 6: don't have anything to do with the investigations. That is 485 00:25:01,320 --> 00:25:04,320 Speaker 6: totally false. We're the ones who brought it to them. 486 00:25:04,359 --> 00:25:06,920 Speaker 6: We're the ones who alerted the FBI. We're the ones 487 00:25:06,960 --> 00:25:09,720 Speaker 6: we turn these cases over every day, drug cases, human 488 00:25:09,760 --> 00:25:10,760 Speaker 6: trafficking cases. 489 00:25:11,440 --> 00:25:12,880 Speaker 1: We would prosecute them. 490 00:25:13,320 --> 00:25:15,439 Speaker 4: That's kind of interesting. Actually it didn't come off as 491 00:25:15,480 --> 00:25:17,639 Speaker 4: the LAMO I expected to. I hadn't heard that clip. 492 00:25:18,400 --> 00:25:22,200 Speaker 4: So getting back to Nelly Bowles, she mentions, the volume 493 00:25:22,200 --> 00:25:25,240 Speaker 4: of scams going on at any given time is truly staggering. 494 00:25:25,640 --> 00:25:28,760 Speaker 4: Houseways and Means Committee summary of a Government Accountability Office 495 00:25:28,760 --> 00:25:31,480 Speaker 4: investigation that came out last week. In twenty twenty three, 496 00:25:31,560 --> 00:25:35,199 Speaker 4: one single social security number was used on applications for 497 00:25:35,280 --> 00:25:38,560 Speaker 4: over one hundred and twenty five insurance policies. 498 00:25:38,720 --> 00:25:41,399 Speaker 1: Wow, and there's no computer that can catch that. 499 00:25:42,400 --> 00:25:45,960 Speaker 4: Totaled over twenty six thousand days of coverage, the equivalent 500 00:25:46,000 --> 00:25:47,600 Speaker 4: of seventy one years. 501 00:25:48,440 --> 00:25:50,160 Speaker 1: So not only does a computer. 502 00:25:49,880 --> 00:25:52,600 Speaker 3: Not catch wait a second, we've got a duplicate of 503 00:25:53,359 --> 00:25:55,359 Speaker 3: somebody having the same social Security number. 504 00:25:55,480 --> 00:25:58,560 Speaker 1: You can do it dozens and dozens and dozens of times, 505 00:25:59,000 --> 00:25:59,800 Speaker 1: right right. 506 00:26:00,000 --> 00:26:03,040 Speaker 4: And we saw the report last week that the GAO 507 00:26:03,800 --> 00:26:07,679 Speaker 4: was trying to get fake Obamacare, well fake humans approved 508 00:26:07,680 --> 00:26:10,240 Speaker 4: for Obamacare and whatever. It was twenty one out of 509 00:26:10,280 --> 00:26:12,760 Speaker 4: the twenty two were approved even though they submitted none 510 00:26:12,800 --> 00:26:15,000 Speaker 4: of the proof that was required for income. The fact 511 00:26:15,000 --> 00:26:17,200 Speaker 4: that they existed the rest of it, it's unbelievable. Kim 512 00:26:17,240 --> 00:26:21,760 Speaker 4: Strassel in The Journal wrote a great editorial about how 513 00:26:22,320 --> 00:26:27,879 Speaker 4: the Somali thing, the Minneapolis thing, is about immigration and 514 00:26:27,920 --> 00:26:31,680 Speaker 4: failure to assimilate and importing lots and lots of people 515 00:26:31,680 --> 00:26:36,000 Speaker 4: from an incredibly corrupt country. But it's more than that, 516 00:26:36,560 --> 00:26:41,400 Speaker 4: a story about the broken welfare system, she points out. 517 00:26:42,240 --> 00:26:44,399 Speaker 4: It's a story of a federal government that shovels more 518 00:26:44,440 --> 00:26:48,480 Speaker 4: than a trillion dollars annually into more than eighty major 519 00:26:48,720 --> 00:26:55,080 Speaker 4: anti poverty and countless minor programs, a system too complex 520 00:26:55,119 --> 00:26:58,119 Speaker 4: to ensure even basic integrity, and of a state that 521 00:26:58,240 --> 00:27:01,360 Speaker 4: preen does a model of social welfare its own lavish benefits, 522 00:27:01,440 --> 00:27:07,919 Speaker 4: drawing many immigrants and inviting plunder. I would agree the 523 00:27:08,000 --> 00:27:10,720 Speaker 4: US welfare debate is long centered on the failed outcomes 524 00:27:10,760 --> 00:27:13,879 Speaker 4: of overly generous government programs, the long term dependency, the 525 00:27:13,960 --> 00:27:17,240 Speaker 4: loss of dignity, the discouragement of work, the damage to 526 00:27:17,320 --> 00:27:21,080 Speaker 4: family structure. Rounds and rounds of these destructions, and she 527 00:27:21,560 --> 00:27:24,520 Speaker 4: brings up several historically and according to the Center for 528 00:27:24,560 --> 00:27:27,919 Speaker 4: Immigration Studies, the share of US born working men not 529 00:27:28,080 --> 00:27:31,600 Speaker 4: in the labor force was eleven percent in nineteen sixty. 530 00:27:31,640 --> 00:27:37,200 Speaker 4: It's now twenty two percent. Twenty two percent of working 531 00:27:37,280 --> 00:27:39,280 Speaker 4: age men are not in. 532 00:27:39,040 --> 00:27:39,960 Speaker 1: The labor force. 533 00:27:40,280 --> 00:27:45,679 Speaker 4: That's incredible, and she points out the Minnesota raises to 534 00:27:45,800 --> 00:27:49,480 Speaker 4: alarm level a separate need for a reset. The system itself, 535 00:27:49,520 --> 00:27:54,800 Speaker 4: the government machine is broken. It's heaving duplicative federal state programs, 536 00:27:54,800 --> 00:27:58,520 Speaker 4: a wash informs and bureaucracies in ancient mainframes. 537 00:27:58,520 --> 00:28:00,560 Speaker 1: Has already suffered Soviet stuff collapse. 538 00:28:00,760 --> 00:28:03,520 Speaker 4: The system serves more as a cash machine for criminals 539 00:28:03,640 --> 00:28:07,440 Speaker 4: than as a safety net for the needy. I thought 540 00:28:07,480 --> 00:28:11,080 Speaker 4: that was a great, great sentence. How do you separate 541 00:28:11,119 --> 00:28:14,240 Speaker 4: the wheat from the slime? And millions of overlapping self 542 00:28:14,280 --> 00:28:20,520 Speaker 4: attested applications for snap Wick unemployment insurance eitc all these acronyms. 543 00:28:20,560 --> 00:28:21,920 Speaker 1: I don't even know what half of them are. 544 00:28:22,080 --> 00:28:23,959 Speaker 3: I wish you could get lefties to care about this 545 00:28:24,040 --> 00:28:26,600 Speaker 3: sort of stuff, with the idea that, look, you're the 546 00:28:26,640 --> 00:28:28,360 Speaker 3: one that want to help the downtrodden. 547 00:28:28,400 --> 00:28:31,040 Speaker 1: There'd be a lot more money for the downtrodden. 548 00:28:30,520 --> 00:28:33,560 Speaker 3: If it wasn't being stolen from people who don't need it. 549 00:28:33,680 --> 00:28:38,280 Speaker 4: So true, they ought to be leading the hue and 550 00:28:38,360 --> 00:28:40,480 Speaker 4: cry for investigations and reform. 551 00:28:40,800 --> 00:28:43,800 Speaker 3: We are absolutely a wealthy enough country to take care 552 00:28:43,840 --> 00:28:47,480 Speaker 3: of every single person who's incapable of taking care of 553 00:28:47,520 --> 00:28:51,920 Speaker 3: themselves very easily, right, with housing and healthcare and food 554 00:28:51,960 --> 00:28:55,480 Speaker 3: and everything you need. If for whatever reason, you're born 555 00:28:55,600 --> 00:28:58,160 Speaker 3: this way or something happened to you, we can't support yourself. 556 00:28:58,200 --> 00:29:00,800 Speaker 3: We got plenty of money if we didn't, if we 557 00:29:00,840 --> 00:29:03,360 Speaker 3: stopped giving it to people that are perfectly able bodied. 558 00:29:03,560 --> 00:29:06,400 Speaker 3: Starve the lazy, Buy the T shirt at the Armstrong 559 00:29:06,400 --> 00:29:09,800 Speaker 3: and you get a store. Starve the lazy. More on this. 560 00:29:09,840 --> 00:29:11,880 Speaker 3: I want to hammer it a little bit more. Excuse 561 00:29:11,920 --> 00:29:14,040 Speaker 3: me after a word from our friends at Prize Picks. 562 00:29:14,320 --> 00:29:17,440 Speaker 3: Holy cow, the NFL season is getting exciting. You got 563 00:29:17,440 --> 00:29:21,000 Speaker 3: all sorts of NBA action. It's starting to matter a 564 00:29:21,000 --> 00:29:23,200 Speaker 3: little bit. It's all happening at once. 565 00:29:24,120 --> 00:29:26,280 Speaker 4: It's the easiest, most fun way to get involved in 566 00:29:26,280 --> 00:29:28,440 Speaker 4: fantasy sports. The part I love about Prize Picks is 567 00:29:28,480 --> 00:29:30,400 Speaker 4: you don't like have a team, then your team sucks 568 00:29:30,400 --> 00:29:32,040 Speaker 4: and you have to wait till next season to play 569 00:29:32,040 --> 00:29:36,800 Speaker 4: more fantasy sports. You pick a lineup every week. Let 570 00:29:36,880 --> 00:29:39,240 Speaker 4: you play fantasy football every week, pick your favorite players 571 00:29:39,280 --> 00:29:41,280 Speaker 4: and win when they hit their projections every week, no 572 00:29:41,400 --> 00:29:42,160 Speaker 4: draft required. 573 00:29:42,240 --> 00:29:43,760 Speaker 1: How about the new early payouts thing. 574 00:29:43,760 --> 00:29:45,480 Speaker 3: If your lineup gets off to a hot start, you 575 00:29:45,600 --> 00:29:47,880 Speaker 3: got the option to cash out those winnings before the 576 00:29:47,880 --> 00:29:48,640 Speaker 3: game's even over. 577 00:29:51,120 --> 00:29:53,800 Speaker 4: Download the Prize Picks app today. Use that code armstrong 578 00:29:53,880 --> 00:29:55,760 Speaker 4: to get fifty dollars in lineups. After you play your 579 00:29:55,760 --> 00:29:58,680 Speaker 4: first five dollars lineup. That's the code armstrong. You get 580 00:29:58,760 --> 00:30:00,920 Speaker 4: fifty bucks in lineups to play around with and have 581 00:30:01,000 --> 00:30:05,360 Speaker 4: fun after you play just a five dollars lineup, and 582 00:30:05,440 --> 00:30:08,600 Speaker 4: again you combine, combine players from different sports if you 583 00:30:08,640 --> 00:30:11,280 Speaker 4: want to double and triple up on one player, different. 584 00:30:10,960 --> 00:30:13,520 Speaker 1: Stats, Prize picks. It's good to be right. 585 00:30:14,120 --> 00:30:17,360 Speaker 3: I would never actually do this, but I like playing 586 00:30:17,400 --> 00:30:21,320 Speaker 3: out the fantasy in my head. Of like, instead of 587 00:30:21,320 --> 00:30:23,280 Speaker 3: my kids going to college, just coach them up on 588 00:30:23,320 --> 00:30:25,520 Speaker 3: how to take advantage of various government programs. 589 00:30:26,040 --> 00:30:27,280 Speaker 1: Right, do that your whole life? 590 00:30:27,360 --> 00:30:29,280 Speaker 4: Lots of people, do you know I want to get 591 00:30:29,400 --> 00:30:30,840 Speaker 4: I don't want to rush through this because there's a 592 00:30:30,840 --> 00:30:32,479 Speaker 4: lot more really really good stuff. Why don't we take 593 00:30:32,480 --> 00:30:35,360 Speaker 4: a break and we'll come back and continue the discussion, 594 00:30:35,640 --> 00:30:41,520 Speaker 4: because Kim makes some absolute blockbuster home run ball points. 595 00:30:41,760 --> 00:30:44,080 Speaker 3: You know, do the reason you remembered you start out 596 00:30:44,080 --> 00:30:46,200 Speaker 3: as a nineteen year old instead of going to college. 597 00:30:46,360 --> 00:30:48,959 Speaker 3: Will your income is basically nothing. Maybe you're working at 598 00:30:48,960 --> 00:30:52,040 Speaker 3: a fast food joint. And then figure out all the 599 00:30:52,080 --> 00:30:56,280 Speaker 3: programs that you qualify for and that overlap, and see 600 00:30:56,280 --> 00:30:57,480 Speaker 3: how much you can get. 601 00:30:57,640 --> 00:30:58,880 Speaker 1: Well and fake it up too. 602 00:30:58,960 --> 00:31:02,120 Speaker 4: Invent identities and social security number of steel, people's identities, 603 00:31:02,200 --> 00:31:06,640 Speaker 4: medicale children, medical problems. Yeah, at place place, the money 604 00:31:06,960 --> 00:31:09,320 Speaker 4: truck will back up to your door every single week, 605 00:31:09,680 --> 00:31:10,560 Speaker 4: us suckers who. 606 00:31:10,400 --> 00:31:16,200 Speaker 1: Are paying for it all. Okay, more on the way, yo, 607 00:31:16,240 --> 00:31:18,920 Speaker 1: yo yo. How you doing? You got your Christmas shopping done? 608 00:31:18,960 --> 00:31:19,680 Speaker 1: No me neither. 609 00:31:19,800 --> 00:31:23,520 Speaker 4: No good Lord, has pointed out last segment by that 610 00:31:23,640 --> 00:31:28,880 Speaker 4: horrific New York Times headline. The left just seems to 611 00:31:29,120 --> 00:31:34,120 Speaker 4: think any seriousness about welfare reform is evil, or even 612 00:31:34,200 --> 00:31:37,720 Speaker 4: stopping fraud is somehow work in the wrong side of 613 00:31:37,720 --> 00:31:39,600 Speaker 4: the street, or they think. 614 00:31:39,400 --> 00:31:41,440 Speaker 3: It's a slippery slope that if you try to stop 615 00:31:41,440 --> 00:31:43,760 Speaker 3: fraud then you'll take the program away or something. I 616 00:31:43,760 --> 00:31:44,960 Speaker 3: don't children real starve. 617 00:31:45,200 --> 00:31:47,480 Speaker 4: Yeah, Kim Strassel makes the point in the journal that 618 00:31:47,880 --> 00:31:49,920 Speaker 4: how do you separate the wheat from the slime with 619 00:31:50,000 --> 00:31:55,920 Speaker 4: these zillions of overlapping programs. You don't, You're right checks 620 00:31:55,920 --> 00:31:58,440 Speaker 4: and the crooks know it is. Joe Thompson, lead prosecutor 621 00:31:58,440 --> 00:32:01,000 Speaker 4: in the big Minnesota cases, is said, quote, this isn't 622 00:32:01,040 --> 00:32:03,680 Speaker 4: just a few criminals exploiting the system. This is a 623 00:32:03,720 --> 00:32:07,160 Speaker 4: system that's begging to be exploited. As one of the 624 00:32:07,160 --> 00:32:10,880 Speaker 4: people involved in it said, yeah, we had our hands 625 00:32:10,920 --> 00:32:12,959 Speaker 4: in the cookie jar, and they just kept refilling the 626 00:32:13,000 --> 00:32:17,640 Speaker 4: cookie jar. And then she points out that even the 627 00:32:17,680 --> 00:32:21,000 Speaker 4: government auditors are numb to fraud and bug eyed at 628 00:32:21,040 --> 00:32:24,760 Speaker 4: the scams that sucked through Joe Biden's COVID dollars, your 629 00:32:24,880 --> 00:32:27,520 Speaker 4: COVID dollars. And she goes into a list of just 630 00:32:27,560 --> 00:32:31,960 Speaker 4: the rampant theft and people getting rich, and man, Democrat, 631 00:32:32,040 --> 00:32:35,640 Speaker 4: It's Minnesota is the new outrage, partly because it's Democrat. 632 00:32:35,680 --> 00:32:37,800 Speaker 4: Democrats have long pitched the state as a model of 633 00:32:37,840 --> 00:32:41,920 Speaker 4: a successful, generous Swedish style social welfare state financed by 634 00:32:42,000 --> 00:32:45,280 Speaker 4: high taxes, much as California pitched itself is the future 635 00:32:45,320 --> 00:32:46,120 Speaker 4: of green energy. 636 00:32:46,280 --> 00:32:49,320 Speaker 1: How's that going? But then she gets to a point. 637 00:32:49,440 --> 00:32:51,920 Speaker 4: This is a moment Republicans might be shouting from the 638 00:32:51,960 --> 00:32:54,440 Speaker 4: rooftops that Minnesota proves how right they were to have 639 00:32:54,480 --> 00:32:56,880 Speaker 4: included in the tax reform bill a slate of anti 640 00:32:57,000 --> 00:32:59,480 Speaker 4: fraud reforms to medicate and food stamps. But they also 641 00:32:59,520 --> 00:33:01,800 Speaker 4: might seize on this scandal to take the government fraud 642 00:33:01,880 --> 00:33:04,920 Speaker 4: argument much further, to explain that this no longer is 643 00:33:04,960 --> 00:33:07,680 Speaker 4: a situation that can be corrected with more due diligence. 644 00:33:07,920 --> 00:33:10,080 Speaker 4: It is the size and scope of the morass that 645 00:33:10,120 --> 00:33:14,040 Speaker 4: is enabling fraud. The argument we need to move many 646 00:33:14,160 --> 00:33:17,960 Speaker 4: people off government dependency, not just for moral and societal reasons, 647 00:33:18,080 --> 00:33:21,240 Speaker 4: but because government has an obligation to taxpayers and the 648 00:33:21,280 --> 00:33:25,240 Speaker 4: truly needy. Your point, Jack, to right size and return 649 00:33:25,280 --> 00:33:28,040 Speaker 4: to a system that can function, one that is lean 650 00:33:28,080 --> 00:33:30,560 Speaker 4: efficient and able to focus its dollars on the actual 651 00:33:30,600 --> 00:33:34,760 Speaker 4: mission temporary assistance in most cases. In a perfect world, 652 00:33:34,800 --> 00:33:36,960 Speaker 4: we tear down the maze we've added to for a 653 00:33:37,040 --> 00:33:40,040 Speaker 4: century and replace it with a central clearinghouse for short 654 00:33:40,120 --> 00:33:43,960 Speaker 4: term government support, able to interact efficiently with states. 655 00:33:44,320 --> 00:33:46,560 Speaker 1: Dennis, why not reimagine the government? 656 00:33:46,800 --> 00:33:49,719 Speaker 3: Dennis Miller's old line was always I'm all for helping 657 00:33:49,760 --> 00:33:51,360 Speaker 3: the helpless, not the clueless. 658 00:33:52,240 --> 00:33:52,480 Speaker 1: Right. 659 00:33:52,960 --> 00:33:54,920 Speaker 4: Her final point, all around us is evidence that the 660 00:33:54,960 --> 00:33:57,480 Speaker 4: current structure is failing and pass the date of fixing. 661 00:33:57,840 --> 00:34:02,080 Speaker 4: You know, it's funny there is an utter lack of 662 00:34:03,840 --> 00:34:09,719 Speaker 4: courage or like ambition in Congress. And it's ironic because 663 00:34:09,760 --> 00:34:12,480 Speaker 4: the government is super gigantic and there are trillions of 664 00:34:12,520 --> 00:34:16,320 Speaker 4: dollars washing around, But the great. 665 00:34:16,680 --> 00:34:18,160 Speaker 1: Taste is for the status quo. 666 00:34:19,480 --> 00:34:21,880 Speaker 4: How eft up would a system have to be that 667 00:34:22,000 --> 00:34:24,360 Speaker 4: Congress would say we got to step in and do it. 668 00:34:24,440 --> 00:34:27,160 Speaker 4: Kim Trossel is suggesting, we've got to totally tear this 669 00:34:27,160 --> 00:34:28,279 Speaker 4: thing down to the studs. 670 00:34:28,040 --> 00:34:28,640 Speaker 1: And rebuild it. 671 00:34:29,080 --> 00:34:31,799 Speaker 4: I mean, if it's not eft up enough now for that, 672 00:34:32,040 --> 00:34:33,360 Speaker 4: will it ever be? Probably not. 673 00:34:33,480 --> 00:34:36,279 Speaker 3: I guess apparently it's easy enough to demagogue that they're 674 00:34:36,320 --> 00:34:40,280 Speaker 3: trying to, you know, take the food out of hungry kids' 675 00:34:40,320 --> 00:34:43,840 Speaker 3: mouths to help billionaires, that it stops anything from getting 676 00:34:43,880 --> 00:34:47,440 Speaker 3: What I don't understand is why the left fights raining 677 00:34:47,480 --> 00:34:48,520 Speaker 3: in the fraud like they do. 678 00:34:48,640 --> 00:34:49,680 Speaker 1: Like I said, I don't get it. 679 00:34:49,719 --> 00:34:53,280 Speaker 3: I don't think you'd want the extra money for other things. 680 00:34:53,880 --> 00:34:56,239 Speaker 4: Yeah, well, you've got two groups on the left. You 681 00:34:56,239 --> 00:34:59,399 Speaker 4: have sincere lefty voters who I think would be with 682 00:34:59,440 --> 00:35:03,919 Speaker 4: you completely. But then you've got the professional leftists. Yeah, 683 00:35:04,080 --> 00:35:08,000 Speaker 4: the money goes somewhere, The money goes to someone right, 684 00:35:08,120 --> 00:35:12,120 Speaker 4: and they are never going to allow reform of the 685 00:35:12,120 --> 00:35:15,279 Speaker 4: welfare state because they're profiting so mightily from it. Well, 686 00:35:15,280 --> 00:35:18,440 Speaker 4: that's why you wish the Republicans would get the balls 687 00:35:18,480 --> 00:35:21,759 Speaker 4: to just lay this out and explain it. And much 688 00:35:21,880 --> 00:35:24,319 Speaker 4: like the Biden administration, I think it was our two 689 00:35:24,360 --> 00:35:27,800 Speaker 4: we were talking about this missed by one thousand miles 690 00:35:27,880 --> 00:35:31,400 Speaker 4: what the public's real attitude was about immigration. If you 691 00:35:31,520 --> 00:35:38,319 Speaker 4: had an eloquent, powerful Republican person or party explaining how 692 00:35:38,360 --> 00:35:42,320 Speaker 4: screwed up the system was and how we can feed 693 00:35:42,360 --> 00:35:45,120 Speaker 4: it and clothe and take care of everybody who really 694 00:35:45,239 --> 00:35:45,839 Speaker 4: deserves it. 695 00:35:45,920 --> 00:35:47,640 Speaker 1: In fact, we'll do it better. 696 00:35:47,360 --> 00:35:49,440 Speaker 4: Than we're doing it right now. But we need to 697 00:35:49,480 --> 00:35:50,880 Speaker 4: reform the system completely. 698 00:35:51,080 --> 00:35:52,040 Speaker 1: You think that would get. 699 00:35:51,920 --> 00:35:55,080 Speaker 3: Pretty good support on the right end the left. Also, 700 00:35:55,120 --> 00:35:58,239 Speaker 3: there's so much money slashing around. That gets to one 701 00:35:58,239 --> 00:36:00,600 Speaker 3: of my pet arguments that I don't know if people 702 00:36:00,600 --> 00:36:03,759 Speaker 3: are aware of when the whole argument around income inequality, 703 00:36:04,160 --> 00:36:09,000 Speaker 3: that they never count how many benefits the lower end gets, right, 704 00:36:09,080 --> 00:36:10,919 Speaker 3: if you have somebody that makes two hundred thousand dollars 705 00:36:10,960 --> 00:36:12,640 Speaker 3: a year, maybe they get to keep I don't know, 706 00:36:12,680 --> 00:36:14,360 Speaker 3: one hundred and ten of it after taxes. 707 00:36:14,400 --> 00:36:16,040 Speaker 1: If you have somebody that makes fifty. 708 00:36:15,719 --> 00:36:18,319 Speaker 3: Thousand dollars a year, they get to another fifty or 709 00:36:18,400 --> 00:36:22,200 Speaker 3: more of government money. So they've got around one hundred 710 00:36:22,200 --> 00:36:24,640 Speaker 3: thousand dollars to live with. But if you look at 711 00:36:24,680 --> 00:36:27,480 Speaker 3: the original numbers, that person makes four times as much 712 00:36:27,520 --> 00:36:31,399 Speaker 3: money as that person. Why would somebody be that dishonest 713 00:36:31,520 --> 00:36:34,160 Speaker 3: or make a mistake that enormous because they're. 714 00:36:33,960 --> 00:36:35,879 Speaker 1: Profiting from it. Yeah, because you can keep it going. 715 00:36:36,400 --> 00:36:39,239 Speaker 4: It's like the homeless industrial complex in California is a 716 00:36:39,239 --> 00:36:42,880 Speaker 4: great example that we've had the displeasure to witness up 717 00:36:42,920 --> 00:36:47,000 Speaker 4: close and personal. The money just pours into various coffers 718 00:36:47,040 --> 00:36:50,840 Speaker 4: and organizations and individuals and all, and they will always, always, always, 719 00:36:50,880 --> 00:36:54,600 Speaker 4: always vote for the person, you know, spraying hosing them 720 00:36:54,640 --> 00:36:57,360 Speaker 4: down with the money. Saying I have the giant welfare 721 00:36:57,400 --> 00:36:58,960 Speaker 4: industrial complex. 722 00:36:58,560 --> 00:37:01,880 Speaker 3: I have zero, I mean zero, not even one percent, 723 00:37:02,040 --> 00:37:05,120 Speaker 3: zero percent belief that in my lifetime will ever really 724 00:37:05,160 --> 00:37:09,360 Speaker 3: tackle this whole waste, fraud and abuse in our social 725 00:37:09,440 --> 00:37:10,600 Speaker 3: net problem. 726 00:37:11,200 --> 00:37:13,480 Speaker 4: Well, speaking of Caldy Unicorney a good Armstrong in geddy 727 00:37:13,520 --> 00:37:15,560 Speaker 4: dot com. He hit the superstore, get your ruin, the 728 00:37:15,760 --> 00:37:17,960 Speaker 4: entire country, Newsome twenty twenty eight t. 729 00:37:18,000 --> 00:37:20,200 Speaker 1: Shirt, and starve the lazy. 730 00:37:21,120 --> 00:37:22,400 Speaker 3: More on the way if you miss a segment of 731 00:37:22,440 --> 00:37:26,880 Speaker 3: the podcast, Armstrong and Getty on demand Armstrong and Getty