1 00:00:00,120 --> 00:00:01,040 Speaker 1: Well, we'll come in. 2 00:00:02,520 --> 00:00:10,160 Speaker 2: To Dona Gets, sang you a conscious son, willow. 3 00:00:09,960 --> 00:00:16,880 Speaker 1: Bean, and if you want a little banging, ye I 4 00:00:17,040 --> 00:00:17,680 Speaker 1: come along. 5 00:00:18,320 --> 00:00:20,880 Speaker 2: Brian Cole Junior, a thirty year old white man from 6 00:00:20,920 --> 00:00:24,720 Speaker 2: the DC suburbs, is charged with transporting an explosive device 7 00:00:24,960 --> 00:00:28,440 Speaker 2: in interstate commerce. People on a boat in the middle 8 00:00:28,560 --> 00:00:33,200 Speaker 2: of the Caribbean carrying cocaine are not a direct threat 9 00:00:33,320 --> 00:00:36,159 Speaker 2: to the lives of our service members or Americans. Our 10 00:00:36,400 --> 00:00:40,560 Speaker 2: police officers will not coordinate with ICE or any federal 11 00:00:40,640 --> 00:00:43,640 Speaker 2: agency around immigration law enforcement work. 12 00:00:44,200 --> 00:00:50,839 Speaker 1: Freedom is back in style. Welcome to the Revolution, Come in. 13 00:00:52,320 --> 00:00:53,640 Speaker 2: To your ce. 14 00:00:55,040 --> 00:00:58,320 Speaker 1: Don Way gets and sank you a conscious sound. 15 00:01:00,160 --> 00:01:03,720 Speaker 2: The New Sean Hennity Show, more me I'm the scenes, 16 00:01:03,760 --> 00:01:09,800 Speaker 2: information on freaking news, and more boned inspired solutions for America. 17 00:01:11,040 --> 00:01:12,800 Speaker 2: All right, thank you, Scott Shannon, Thanks to all of 18 00:01:12,880 --> 00:01:15,880 Speaker 2: you for being with us. Right down our toll free 19 00:01:16,440 --> 00:01:18,240 Speaker 2: telephone number. You want to be a part of the program, 20 00:01:18,319 --> 00:01:20,480 Speaker 2: It's eight hundred and ninety four to one, Sean if 21 00:01:20,520 --> 00:01:24,000 Speaker 2: you want to join us. Well, we've been talking about 22 00:01:24,040 --> 00:01:27,760 Speaker 2: the lowest gas prices in five years, inflation way down. 23 00:01:27,880 --> 00:01:33,160 Speaker 2: Since Donald Trump has become president. We have talked about now. 24 00:01:33,800 --> 00:01:36,800 Speaker 2: You know, money's coming into the federal government again, a 25 00:01:36,880 --> 00:01:38,640 Speaker 2: lot of this is going to hit the bloodstream of 26 00:01:38,680 --> 00:01:43,440 Speaker 2: the economy starting in January, and that means trillions and 27 00:01:43,680 --> 00:01:47,640 Speaker 2: committed monies for manufacturing. And then, of course, you know, 28 00:01:47,800 --> 00:01:51,360 Speaker 2: gas prices five year low, although in California, I guess 29 00:01:51,360 --> 00:01:53,960 Speaker 2: you're paying close to five dollars a gallon for gasoline 30 00:01:54,000 --> 00:01:56,440 Speaker 2: still because they have the highest gas taxes in the country, 31 00:01:56,600 --> 00:02:00,320 Speaker 2: sales taxes in the country, highest property taxes in the country, 32 00:02:01,280 --> 00:02:04,040 Speaker 2: the highest poverty rate in the country, highest homeless rate 33 00:02:04,080 --> 00:02:06,040 Speaker 2: in the country, and the worst schools in the country. 34 00:02:06,080 --> 00:02:07,920 Speaker 1: But don't worry. Your governor is on it. 35 00:02:08,560 --> 00:02:12,520 Speaker 2: Your governor has been traveling the globe and going to uh, 36 00:02:13,160 --> 00:02:16,600 Speaker 2: you know, these global warming conferences or whatever you call them, 37 00:02:16,639 --> 00:02:21,200 Speaker 2: climate change conferences in Brazil. And he's busy podcasting, and 38 00:02:21,360 --> 00:02:25,399 Speaker 2: he's busy being tweety bird, governor tweety bird. Now he's 39 00:02:25,560 --> 00:02:30,000 Speaker 2: Governor AI putting out you know, videos of Donald Trump 40 00:02:30,560 --> 00:02:31,320 Speaker 2: and handcuffs. 41 00:02:32,040 --> 00:02:32,840 Speaker 3: This is this. 42 00:02:33,320 --> 00:02:36,519 Speaker 2: You know, he's still going to have to answer, why 43 00:02:36,720 --> 00:02:39,799 Speaker 2: was there no water in the fire hydrants? Well, we're 44 00:02:39,840 --> 00:02:42,799 Speaker 2: the fourth largest economy in the entire world. Well, You're 45 00:02:42,840 --> 00:02:45,400 Speaker 2: not gonna be if all these companies you keep chasing 46 00:02:45,440 --> 00:02:49,320 Speaker 2: them out. If it wasn't for big tech companies that 47 00:02:49,560 --> 00:02:53,840 Speaker 2: have for whatever reason, you know, started and stayed in California, 48 00:02:53,919 --> 00:02:58,000 Speaker 2: those companies, if they start leaving, it's over for California. 49 00:02:58,680 --> 00:03:00,919 Speaker 2: It really is, because you know, they are also leading 50 00:03:01,080 --> 00:03:04,400 Speaker 2: the country and migration out of that state, and it's 51 00:03:04,440 --> 00:03:06,560 Speaker 2: not going to be good. We have a new number 52 00:03:06,600 --> 00:03:11,200 Speaker 2: out today, big win for American workers. The US trade 53 00:03:11,360 --> 00:03:14,560 Speaker 2: deficit now has dropped to its lowest level also in 54 00:03:14,720 --> 00:03:18,000 Speaker 2: five years, like gas prices now lowest level in five years, 55 00:03:18,520 --> 00:03:22,320 Speaker 2: as US exports now in thank Donald Trump. Now, there 56 00:03:22,400 --> 00:03:25,440 Speaker 2: has been pain associated with this, which is why the 57 00:03:25,520 --> 00:03:29,200 Speaker 2: President stepped in taking some of the TERRORFF money and 58 00:03:29,400 --> 00:03:35,800 Speaker 2: giving it to hard working, well deserving American farmers. Because 59 00:03:36,360 --> 00:03:40,640 Speaker 2: as he went through this process of eliminating these you know, 60 00:03:40,800 --> 00:03:44,320 Speaker 2: America being ripped off in these unfair trade practices of 61 00:03:44,600 --> 00:03:47,360 Speaker 2: pretty much every country around the globe and negotiating new 62 00:03:47,440 --> 00:03:50,720 Speaker 2: trade deals, you know that there was short term pain 63 00:03:50,840 --> 00:03:54,240 Speaker 2: and one area that got hit was you know, our 64 00:03:54,360 --> 00:03:57,520 Speaker 2: farmers got hit, some of our ranchers have got hit. 65 00:03:57,680 --> 00:04:01,320 Speaker 2: Textile industry people have gotten hit and the President now 66 00:04:01,400 --> 00:04:06,440 Speaker 2: working towards towards those specific industries to make sure they 67 00:04:06,480 --> 00:04:11,200 Speaker 2: get back on course. But I think it's another huge victory, 68 00:04:11,240 --> 00:04:13,320 Speaker 2: and it's really the best is yet to come. This 69 00:04:13,480 --> 00:04:18,240 Speaker 2: is only the beginning of what is coming. And America's 70 00:04:18,279 --> 00:04:22,080 Speaker 2: exports now hit a record high. And of course the 71 00:04:22,200 --> 00:04:25,520 Speaker 2: media complicit, as they are nothing but an extension of 72 00:04:25,560 --> 00:04:29,000 Speaker 2: all things Democratic Party will never talk about it. But 73 00:04:29,279 --> 00:04:35,040 Speaker 2: Reuters reporting US trade deficit unexpectedly. It's not unexpected, it's 74 00:04:35,080 --> 00:04:38,120 Speaker 2: just the have you not been watching what the president 75 00:04:38,200 --> 00:04:43,400 Speaker 2: is doing every day grief, you know, but unexpectedly narrowed 76 00:04:43,480 --> 00:04:46,680 Speaker 2: in September, touching the lowest level in more than five years. 77 00:04:46,720 --> 00:04:48,520 Speaker 2: They don't even want to give out the good news. 78 00:04:49,600 --> 00:04:53,040 Speaker 2: Now there's going to be a big debate. Republicans refuse 79 00:04:53,240 --> 00:04:57,000 Speaker 2: to double down on dumb, dumber and stupid, and that 80 00:04:57,200 --> 00:04:59,600 Speaker 2: is the failure of Obamacare. We'll get into this some 81 00:04:59,680 --> 00:05:03,400 Speaker 2: more detail later in the program. And what Democrats now 82 00:05:03,760 --> 00:05:08,720 Speaker 2: want to do. Remember, they own Obamacare, the Affordable Care Act, 83 00:05:09,120 --> 00:05:12,400 Speaker 2: they own it. They passed it through reconciliation by I 84 00:05:12,480 --> 00:05:17,080 Speaker 2: think a vote, and everything they promised has failed and 85 00:05:17,200 --> 00:05:21,600 Speaker 2: failed spectacularly. Millions will lose their doctors and plans, and 86 00:05:22,160 --> 00:05:25,440 Speaker 2: the average family didn't save twenty five hundred dollars a year. 87 00:05:25,920 --> 00:05:28,160 Speaker 2: We're paying between two hundred and twenty five percent to 88 00:05:28,240 --> 00:05:31,800 Speaker 2: three hundred percent more and prices are continuing to go up. 89 00:05:32,640 --> 00:05:36,760 Speaker 2: And why would we continue to fund a failed program? 90 00:05:37,320 --> 00:05:39,760 Speaker 2: And if it wasn't for Donald Trump in his first term, 91 00:05:40,360 --> 00:05:44,760 Speaker 2: remember there was the Obamacare mandate that was all designed, 92 00:05:44,839 --> 00:05:47,520 Speaker 2: as I said at the time we were debating Obamacare, 93 00:05:48,080 --> 00:05:52,560 Speaker 2: to funnel every American into a government run system. I mean, 94 00:05:52,600 --> 00:05:55,240 Speaker 2: after all, the government's done such a good job protecting 95 00:05:55,320 --> 00:05:58,400 Speaker 2: the money you paid in your whole working life in 96 00:05:58,640 --> 00:06:00,360 Speaker 2: Social Security, and they put. 97 00:06:00,240 --> 00:06:03,240 Speaker 1: It in a lot locked box. Oh that's right. 98 00:06:03,320 --> 00:06:06,640 Speaker 2: They rated that and they spent it and they squandered it, 99 00:06:06,880 --> 00:06:10,359 Speaker 2: and it's headed towards insolvency. And the same with Medicaid. 100 00:06:10,800 --> 00:06:12,520 Speaker 2: Now we see all the fraud and we'll get into 101 00:06:12,560 --> 00:06:15,200 Speaker 2: that as the program unfolds today. I mean, there's more 102 00:06:15,200 --> 00:06:17,640 Speaker 2: and more news coming out every day as it relates 103 00:06:17,680 --> 00:06:22,520 Speaker 2: to a Somalia community in Minnesota. And how all these people, 104 00:06:22,800 --> 00:06:25,119 Speaker 2: all these elected officials knew and they didn't do anything 105 00:06:25,160 --> 00:06:30,160 Speaker 2: about it. But the President and House and Senate Republicans 106 00:06:30,240 --> 00:06:33,159 Speaker 2: backing your proposal that would put as much as fifteen 107 00:06:33,240 --> 00:06:38,000 Speaker 2: hundred dollars directly into America's health savings accounts. Man Linda, 108 00:06:38,080 --> 00:06:42,039 Speaker 2: how long if I what year did that book Patient 109 00:06:42,200 --> 00:06:45,120 Speaker 2: Power by the Cato Institute come out that we've been 110 00:06:45,160 --> 00:06:49,120 Speaker 2: talking about healthcare savings accounts? And I'm not even saying 111 00:06:49,160 --> 00:06:51,560 Speaker 2: it's outdated. I think it's still a good idea. I've 112 00:06:51,560 --> 00:06:54,200 Speaker 2: always believed it's a good idea. But you also have 113 00:06:54,560 --> 00:06:59,440 Speaker 2: people like you know, doctor Josh Umber out of Wichita, Kansas, 114 00:06:59,520 --> 00:07:03,440 Speaker 2: and Atlas and those healthcare cooperatives that are now going national. 115 00:07:04,040 --> 00:07:06,640 Speaker 2: You pay fifty bucks a month unlimited care, twenty four 116 00:07:06,720 --> 00:07:10,360 Speaker 2: hour access to a doctor. It includes telemedicine, It includes 117 00:07:10,440 --> 00:07:15,600 Speaker 2: them negotiating directly with pharmaceutical prices. And you couple that 118 00:07:15,720 --> 00:07:20,600 Speaker 2: with catastrophic insurance and you're covered. God the catastrophic insurance 119 00:07:20,680 --> 00:07:22,880 Speaker 2: is the God forbid I have a heart attack or 120 00:07:23,400 --> 00:07:27,120 Speaker 2: a bad accident, or a stroke or something terrible. By 121 00:07:27,120 --> 00:07:32,240 Speaker 2: the way, Scott Bessant, the Treasury Secretary, Paul Governor's Hochel, 122 00:07:33,560 --> 00:07:38,680 Speaker 2: and Pritzker and Polis the Grinches who stole Christmas for 123 00:07:38,800 --> 00:07:43,520 Speaker 2: their state's refusal to conform to the President's July fourth 124 00:07:43,960 --> 00:07:47,480 Speaker 2: tax relief bill. Along with the illustration of the three 125 00:07:47,640 --> 00:07:52,120 Speaker 2: left wing governors depicted as Doctor Seuss Green holiday villain, 126 00:07:52,680 --> 00:07:55,920 Speaker 2: he said, thanks to at Potus, tis the season to 127 00:07:56,000 --> 00:07:59,280 Speaker 2: be jolly unless you're a taxpayer from New York, Colorado, Illinois, 128 00:07:59,320 --> 00:08:02,320 Speaker 2: or the District of Columbia. But millions of hard working 129 00:08:02,400 --> 00:08:06,000 Speaker 2: Americans you know that these three governors are the grinches 130 00:08:06,040 --> 00:08:09,880 Speaker 2: that stole Christmas, and courtesy of their Scrooge like tendencies, 131 00:08:10,480 --> 00:08:14,280 Speaker 2: American seniors, along with all workers who would benefit from 132 00:08:14,360 --> 00:08:18,360 Speaker 2: no tax on tips, overtime, and social security, will be 133 00:08:18,680 --> 00:08:22,720 Speaker 2: robbed of their tax relief that they deserve. The Christmas 134 00:08:22,760 --> 00:08:24,800 Speaker 2: season should be a time of great cheer, but due 135 00:08:24,840 --> 00:08:27,960 Speaker 2: to the Trump derangement syndrome, these governors and other radical 136 00:08:28,040 --> 00:08:32,040 Speaker 2: leftists have too many low and middle income households will 137 00:08:32,080 --> 00:08:36,199 Speaker 2: receive nothing but coal in their state stockings. And he 138 00:08:36,360 --> 00:08:40,800 Speaker 2: pointed out that the Department of Treasury you know's they're 139 00:08:40,960 --> 00:08:45,240 Speaker 2: rightly blasting these states because the President and his tax 140 00:08:45,280 --> 00:08:48,440 Speaker 2: cut bill is the most pro worker, pro family legislation 141 00:08:48,600 --> 00:08:51,840 Speaker 2: and a generation, the largest tax cut in history. Has 142 00:08:51,920 --> 00:08:54,520 Speaker 2: never been a president that put front and center in 143 00:08:54,679 --> 00:08:59,480 Speaker 2: tax cuts, hardworking Americans, working class Americans, no tax on 144 00:08:59,520 --> 00:09:02,920 Speaker 2: tips or overtime, and of course seniors that depend on 145 00:09:03,040 --> 00:09:07,600 Speaker 2: Social Security, and a blatant act of political obstructionism liberal 146 00:09:07,679 --> 00:09:12,199 Speaker 2: strongholds in these states deliberately of blocking their own residents 147 00:09:12,240 --> 00:09:17,440 Speaker 2: from receiving these historic benefits at the state level. He said, 148 00:09:17,480 --> 00:09:20,920 Speaker 2: it's a direct assault on the very families and working 149 00:09:21,920 --> 00:09:24,720 Speaker 2: that working liberal politicians claim the champion. 150 00:09:24,800 --> 00:09:25,599 Speaker 1: Liberals are full of it. 151 00:09:26,440 --> 00:09:29,240 Speaker 2: You know, I got an interesting chart from our friend 152 00:09:29,280 --> 00:09:34,319 Speaker 2: Steve Moore today on leash prosperity retirement account returns. If 153 00:09:34,360 --> 00:09:36,760 Speaker 2: you go to Trump's first term, they went up on 154 00:09:36,920 --> 00:09:41,040 Speaker 2: average twenty six two hundred dollars under Biden. They went 155 00:09:41,120 --> 00:09:44,640 Speaker 2: down twenty four eight hundred dollars under Trump two point zero. 156 00:09:45,480 --> 00:09:48,600 Speaker 2: And he's only been there eleven months. It went up 157 00:09:48,679 --> 00:09:53,280 Speaker 2: already twenty seven hundred dollars. I'm just telling you Democrats, 158 00:09:54,000 --> 00:09:57,040 Speaker 2: they're going to be eating the word affordability. It's going 159 00:09:57,080 --> 00:10:00,640 Speaker 2: to be shoved right up right down there, Adams sha throat. 160 00:10:02,520 --> 00:10:05,040 Speaker 2: So we'll wait and see what happens. But you know, 161 00:10:05,200 --> 00:10:08,439 Speaker 2: net thirty four percent of owners raising, you know, selling 162 00:10:08,520 --> 00:10:14,280 Speaker 2: prices and that's getting under control too under Biden. Pretty unbelievable. 163 00:10:15,160 --> 00:10:20,359 Speaker 2: We have a lot of immigration news today. The Transportation 164 00:10:20,760 --> 00:10:26,120 Speaker 2: Secretary Sean Duffy has now yanked driver's licenses of nearly 165 00:10:26,240 --> 00:10:30,719 Speaker 2: ten thousand non English speaking truck drivers. He said, we 166 00:10:30,840 --> 00:10:34,120 Speaker 2: have now knocked ninety five hundred truck drivers at a 167 00:10:34,240 --> 00:10:39,120 Speaker 2: service for failing to speak our national language English. He said, 168 00:10:39,160 --> 00:10:41,920 Speaker 2: this administration will always put you in your family and 169 00:10:42,040 --> 00:10:45,320 Speaker 2: your family safety first, and the federal government has now 170 00:10:45,440 --> 00:10:48,079 Speaker 2: taken several steps this year to crack down on non 171 00:10:48,200 --> 00:10:51,079 Speaker 2: English speaking truck drivers in the name of highway safety. 172 00:10:51,840 --> 00:10:53,960 Speaker 2: I mean that where have they been getting these Where 173 00:10:54,040 --> 00:10:57,160 Speaker 2: have illegals that don't speak English been getting driver's licenses 174 00:10:57,200 --> 00:11:00,880 Speaker 2: from states like Washington State in California? And what's happening. 175 00:11:01,200 --> 00:11:03,760 Speaker 2: They can't read, They can't read road signs, as we 176 00:11:03,920 --> 00:11:06,200 Speaker 2: learned in the case in Florida where three innocent people 177 00:11:06,320 --> 00:11:10,080 Speaker 2: were murdered and killed. The learned that guy couldn't speak 178 00:11:10,120 --> 00:11:14,080 Speaker 2: English and couldn't read road signs. One top counter terrorism 179 00:11:14,160 --> 00:11:19,760 Speaker 2: official telling Congress the Biden administration let eighteen thousand known 180 00:11:20,320 --> 00:11:23,680 Speaker 2: or suspected terrorists into the country. 181 00:11:24,800 --> 00:11:26,800 Speaker 1: Eighteen thousand. This is that we know of. 182 00:11:28,040 --> 00:11:31,600 Speaker 2: And remember we had people coming from over two hundred countries. 183 00:11:31,880 --> 00:11:34,240 Speaker 2: But of course they lied and said the borders closed 184 00:11:34,240 --> 00:11:35,160 Speaker 2: and the border secured. 185 00:11:35,280 --> 00:11:35,880 Speaker 1: The big lie. 186 00:11:36,040 --> 00:11:38,400 Speaker 2: And you know, we had video almost on a daily 187 00:11:38,520 --> 00:11:42,800 Speaker 2: basis of the opposite have happening. But the National counter 188 00:11:42,960 --> 00:11:47,360 Speaker 2: Terrorism Centers Director Joe Kent revealed the horrifying number at 189 00:11:47,360 --> 00:11:51,319 Speaker 2: a Thursday hearing. So far, he points out that the 190 00:11:51,720 --> 00:11:56,679 Speaker 2: NCTC has identified eighteen thousand known and suspected terrorists that 191 00:11:56,760 --> 00:12:01,600 Speaker 2: the Biden administration let into our country. And he specifically 192 00:12:01,720 --> 00:12:05,599 Speaker 2: referenced the Afghan whom Biden brought in that killed the 193 00:12:06,200 --> 00:12:10,800 Speaker 2: National guardswoman Sarah Beckstrom. And of course we have a 194 00:12:10,880 --> 00:12:13,480 Speaker 2: twenty four year old National guardsman, both of them from 195 00:12:13,520 --> 00:12:15,080 Speaker 2: West Virginia, clinging to life. 196 00:12:15,559 --> 00:12:16,040 Speaker 1: Thank god. 197 00:12:16,280 --> 00:12:18,800 Speaker 2: The latest news I heard is he's making good progress. 198 00:12:20,160 --> 00:12:23,960 Speaker 2: We have a new housing and urban development study finding 199 00:12:24,040 --> 00:12:28,839 Speaker 2: that Biden's illegals. Get this, this impacts every American that 200 00:12:29,040 --> 00:12:35,120 Speaker 2: Biden illegals have driven up housing costs below income Americans. Well, 201 00:12:35,160 --> 00:12:37,920 Speaker 2: wait a minute, I thought liberals had had a monopoly 202 00:12:38,000 --> 00:12:43,600 Speaker 2: of compassion. Anyway, record setting mass unvetted illegals between twenty 203 00:12:43,720 --> 00:12:48,800 Speaker 2: twenty one twenty three cases of worst case needs remained 204 00:12:48,960 --> 00:12:53,240 Speaker 2: elevated at eight point four to six million households, and 205 00:12:53,440 --> 00:12:56,080 Speaker 2: foreign born population in the US increased by more than 206 00:12:56,200 --> 00:12:59,959 Speaker 2: six million, the largest increase over such a short period 207 00:13:00,120 --> 00:13:03,439 Speaker 2: of time. And it goes on to say, you know, 208 00:13:03,559 --> 00:13:06,839 Speaker 2: it stands at more than fifty three million individuals making 209 00:13:06,920 --> 00:13:11,959 Speaker 2: up the highest share of the American population error are inborn. 210 00:13:13,000 --> 00:13:17,360 Speaker 2: What they're talking about this immigration's driven increase in households 211 00:13:17,400 --> 00:13:22,160 Speaker 2: contributed to a significant increase in housing demand, driving up 212 00:13:22,240 --> 00:13:25,440 Speaker 2: housing prices. Now, I do have you know, some good 213 00:13:25,600 --> 00:13:29,160 Speaker 2: news on this is that a lot of people now 214 00:13:29,480 --> 00:13:33,320 Speaker 2: that are in this country illegally, millions of them are 215 00:13:33,480 --> 00:13:36,600 Speaker 2: leaving in record numbers. So far, more than two point 216 00:13:36,720 --> 00:13:41,360 Speaker 2: five million have left because they're being incentivized. And by 217 00:13:41,400 --> 00:13:43,200 Speaker 2: the way, in the end, we're saving a lot of money. 218 00:13:43,240 --> 00:13:44,720 Speaker 2: I mean, you may think this is a bad idea. 219 00:13:44,800 --> 00:13:48,160 Speaker 2: I don't think it's a bad idea. They are self deporting, 220 00:13:48,720 --> 00:13:52,400 Speaker 2: they're getting transportation to the country that they belong in 221 00:13:52,520 --> 00:13:55,880 Speaker 2: that they came from illegally, and one thousand dollars to 222 00:13:56,080 --> 00:13:58,000 Speaker 2: self deport so we don't have to spend all the 223 00:13:58,040 --> 00:14:00,920 Speaker 2: money on law enforcement to do it now. We also 224 00:14:01,000 --> 00:14:04,280 Speaker 2: have an Obama appointed judge has ordered the immediate release 225 00:14:05,040 --> 00:14:09,880 Speaker 2: of the Democrat's favorite alleged wife beating gangbanger, illegal alien, 226 00:14:10,480 --> 00:14:13,200 Speaker 2: and here he is back in the news. Kilmar Abrego 227 00:14:13,320 --> 00:14:19,840 Speaker 2: Garcia thirty one page opinion Obama appointed judge District Judge Paula. 228 00:14:20,280 --> 00:14:24,240 Speaker 2: I can't pronounce her last name because Abrego Garcia has 229 00:14:24,320 --> 00:14:28,880 Speaker 2: been held in iced attention to effectuate third country removal 230 00:14:29,040 --> 00:14:33,960 Speaker 2: absence of lawful removal orders. Has requested relief as proper. Oh, 231 00:14:34,280 --> 00:14:36,480 Speaker 2: let's let let's let the guy back out in the country. 232 00:14:36,520 --> 00:14:40,640 Speaker 2: His own wife accused him of domestic abuse. His own wife, 233 00:14:41,440 --> 00:14:43,840 Speaker 2: not like we have to prove it, and she's been 234 00:14:43,840 --> 00:14:47,720 Speaker 2: out there defending it. By the way, we'll play this 235 00:14:47,880 --> 00:14:51,720 Speaker 2: later in the program. Remember Benny Thompson, along with Liz Cheney, 236 00:14:52,560 --> 00:14:57,040 Speaker 2: was on that, you know, Prime Time Hollywood produced January sixth, 237 00:14:58,040 --> 00:15:01,760 Speaker 2: Predetermined Outcome Hearings, you know, the one where they would 238 00:15:01,840 --> 00:15:05,240 Speaker 2: rather listen to a hearsay witness talk about Oh, Donald Trump, 239 00:15:05,320 --> 00:15:08,360 Speaker 2: I hear tried to commandeer the beast that he was 240 00:15:08,440 --> 00:15:11,400 Speaker 2: being driven in that day. Except the only problem is 241 00:15:11,520 --> 00:15:14,280 Speaker 2: the driver of that very car said, that's not true. 242 00:15:15,320 --> 00:15:18,040 Speaker 2: You know they never played well. Now many of you 243 00:15:18,120 --> 00:15:21,480 Speaker 2: will peacefully and patriotically march to the Capitol so your 244 00:15:21,600 --> 00:15:24,480 Speaker 2: voices will be heard. I tell the American people the 245 00:15:24,520 --> 00:15:29,240 Speaker 2: whole truth if it defeats a political narrative. Anyway, He says, 246 00:15:29,320 --> 00:15:32,600 Speaker 2: the deliberate murder of the National Guard hero and the 247 00:15:33,000 --> 00:15:37,240 Speaker 2: injuries of another National Guard hero was an unfortunate accident. 248 00:15:37,320 --> 00:15:40,400 Speaker 2: Why do you hear me play that later in the show. Sure, 249 00:15:40,480 --> 00:15:44,080 Speaker 2: that's going to make you feel great. An unfortunate accident, 250 00:15:44,400 --> 00:15:47,600 Speaker 2: now that would be like cold blooded murder. I don't know, 251 00:15:47,880 --> 00:15:50,120 Speaker 2: just have a different view of how you define things. Right. 252 00:15:50,640 --> 00:15:53,160 Speaker 2: So I'm reading bright part today and that's where I 253 00:15:53,280 --> 00:15:58,080 Speaker 2: saw They quoted the Center for Immigration Studies that more 254 00:15:58,160 --> 00:16:02,280 Speaker 2: than eight and ten households headed by Somali refugees in 255 00:16:02,360 --> 00:16:07,120 Speaker 2: the state of Minnesota are on one or more forms 256 00:16:07,160 --> 00:16:11,160 Speaker 2: of American taxpayer funded welfare. The data is based on 257 00:16:11,280 --> 00:16:15,320 Speaker 2: ten years of data from the Census Bureaus American Community 258 00:16:15,440 --> 00:16:20,840 Speaker 2: Service that shows drastic disparities between native born American households 259 00:16:20,880 --> 00:16:26,400 Speaker 2: and Somali born households in Minnesota, where nearly eighty thousand 260 00:16:26,520 --> 00:16:34,000 Speaker 2: residents have Somalia ancestry compared to zero who had Somalian 261 00:16:34,040 --> 00:16:38,200 Speaker 2: ancestry in nineteen ninety. So this is a fairly new 262 00:16:38,280 --> 00:16:42,160 Speaker 2: phenomenon even in Minnesota, but it's now emerged into a 263 00:16:42,240 --> 00:16:45,960 Speaker 2: large voting block. In particular, the data shows that eighty 264 00:16:46,040 --> 00:16:50,640 Speaker 2: one percent of Minnesota households headed by Somali refugees are 265 00:16:50,880 --> 00:16:54,880 Speaker 2: on one or more forms of welfare, including twenty seven 266 00:16:54,920 --> 00:16:57,400 Speaker 2: percent that are on cash welfare, fifty four percent on 267 00:16:57,520 --> 00:17:01,440 Speaker 2: food stamps, seventy three percent this is what doctor Osso's 268 00:17:01,440 --> 00:17:05,159 Speaker 2: pointing out on this program on Medicaid. Now, if you 269 00:17:05,240 --> 00:17:11,440 Speaker 2: compare this welfare to Native born American residents of Minnesota, 270 00:17:11,440 --> 00:17:14,880 Speaker 2: it's only twenty one percent of whom are on one 271 00:17:15,119 --> 00:17:18,879 Speaker 2: or more welfare programs. And then it shows you the 272 00:17:19,680 --> 00:17:26,760 Speaker 2: growth in the Somali Somali population in Minnesota, and then 273 00:17:26,800 --> 00:17:33,040 Speaker 2: it shows the welfare rates in Minnesota by household, and 274 00:17:33,480 --> 00:17:37,679 Speaker 2: you see this massive disparity. For example, eighty nine percent 275 00:17:37,760 --> 00:17:42,000 Speaker 2: of Somali headed households with children in Minnesota are on 276 00:17:42,280 --> 00:17:46,840 Speaker 2: one or more forms of welfare, as are eighty six 277 00:17:46,920 --> 00:17:51,240 Speaker 2: percent on Medicaid. About sixty two percent of Somali households 278 00:17:51,320 --> 00:17:54,840 Speaker 2: with children in the state are on food stamps, twenty 279 00:17:54,920 --> 00:17:58,200 Speaker 2: three percent take cash welfare. Nearly every Somali household with 280 00:17:58,320 --> 00:18:03,960 Speaker 2: children receives some form of welfare, according to the SEA 281 00:18:04,560 --> 00:18:09,119 Speaker 2: Center for Immigration Services researcher Jason Richwind. 282 00:18:09,520 --> 00:18:11,080 Speaker 1: Now this is what Oz was saying. 283 00:18:11,520 --> 00:18:14,840 Speaker 2: He used the number eight and ten, So it's not 284 00:18:15,000 --> 00:18:19,080 Speaker 2: coming out of thin air here, and you know something 285 00:18:19,200 --> 00:18:22,159 Speaker 2: is going on. But if you look at you know 286 00:18:22,600 --> 00:18:26,040 Speaker 2: we now be as neck Ingrid said yesterday, you're probably 287 00:18:26,119 --> 00:18:30,320 Speaker 2: looking at the biggest between COVID fraud and this the 288 00:18:30,400 --> 00:18:34,880 Speaker 2: biggest fraud scandal in the history of the country. US 289 00:18:35,160 --> 00:18:40,440 Speaker 2: former US Acting Attorney Joseph Thompson described the scams as 290 00:18:40,640 --> 00:18:44,480 Speaker 2: schemes stacked upon schemes that drained tens and tens of 291 00:18:44,600 --> 00:18:48,680 Speaker 2: millions from medicaid. Scott Besson announced at the start of 292 00:18:48,720 --> 00:18:52,000 Speaker 2: the month that he'd opened an investigation into the mismanagement 293 00:18:52,080 --> 00:18:56,200 Speaker 2: of all this by Governor Walls and allowed what US 294 00:18:56,280 --> 00:19:01,240 Speaker 2: Attorney for the District of Minnesota Daniel called the largest 295 00:19:01,320 --> 00:19:05,360 Speaker 2: COVID nineteen fraud scheme in the country. And days later 296 00:19:05,440 --> 00:19:08,520 Speaker 2: the House Government Reform and Oversight Committee and we'll get 297 00:19:08,520 --> 00:19:10,679 Speaker 2: to James Comer in a minute, it said they're launching 298 00:19:10,720 --> 00:19:15,040 Speaker 2: their investigation into this widespread fraud, you know. And the 299 00:19:15,080 --> 00:19:17,480 Speaker 2: worst part of all of this is you had whistleblowers 300 00:19:17,760 --> 00:19:23,240 Speaker 2: that were warning governor walls about this, but obviously political considerations, 301 00:19:23,960 --> 00:19:26,600 Speaker 2: you know, were more important and were front and center. 302 00:19:27,320 --> 00:19:31,280 Speaker 2: And apparently all of this was known during the vetting 303 00:19:31,560 --> 00:19:35,439 Speaker 2: of Kamala Harrison our team, and they still picked this guy. Anyway, 304 00:19:35,480 --> 00:19:39,520 Speaker 2: it exploded now into the public consciousness this you know, 305 00:19:40,040 --> 00:19:44,320 Speaker 2: nonprofits siphoned hundreds of millions of dollars from child nutrition, medicaid, 306 00:19:44,640 --> 00:19:48,320 Speaker 2: housing programs. And you know, if you look at what 307 00:19:48,840 --> 00:19:50,880 Speaker 2: happened on November seven, we can go all the way 308 00:19:50,920 --> 00:19:54,920 Speaker 2: back to twenty sixteen. Beating our Future, the organization, according 309 00:19:54,960 --> 00:19:58,040 Speaker 2: to the DOJ, that was the mastermind behind a lot 310 00:19:58,119 --> 00:20:02,240 Speaker 2: of this and and again this is reported on boxnews 311 00:20:02,320 --> 00:20:05,760 Speaker 2: dot com and through the Minnesota Department of Education, they 312 00:20:05,920 --> 00:20:09,840 Speaker 2: denied the application to be a sponsor in the state's 313 00:20:09,960 --> 00:20:13,120 Speaker 2: child and adult care program, and the agency ultimately approved 314 00:20:13,160 --> 00:20:17,000 Speaker 2: the nonprofit. And then you know, you go on and 315 00:20:17,119 --> 00:20:21,280 Speaker 2: on through participation in the federal nutrition program. They received 316 00:20:21,320 --> 00:20:25,080 Speaker 2: three point four million in twenty nineteen. Then it begins 317 00:20:25,160 --> 00:20:29,840 Speaker 2: to grow exponentially during COVID monthly tax reimbursements for meals 318 00:20:29,880 --> 00:20:35,480 Speaker 2: snack counts balloon till by twenty eight hundred percent just 319 00:20:35,600 --> 00:20:40,800 Speaker 2: between twenty twenty and twenty twenty one. By April, you know, 320 00:20:40,960 --> 00:20:43,679 Speaker 2: they claim to have grown to the point that around 321 00:20:43,760 --> 00:20:47,640 Speaker 2: thirty two million dollars in reimbursements for twelve million meals 322 00:20:48,400 --> 00:20:52,560 Speaker 2: and snacks for a single month, and in total, you know, 323 00:20:52,880 --> 00:20:56,960 Speaker 2: they opened two hundred and fifty federal child nutrition sites 324 00:20:57,000 --> 00:21:00,320 Speaker 2: throughout the state of Minnesota, and the money just kept 325 00:21:00,359 --> 00:21:05,159 Speaker 2: flowing and it didn't stop, and concerns were stifled by 326 00:21:05,240 --> 00:21:09,240 Speaker 2: claims of discrimination. When in late twenty twenty the Minnesota 327 00:21:09,280 --> 00:21:15,359 Speaker 2: Department of Education began scrutinize scrutinizing the unlikely exponential growth, 328 00:21:16,440 --> 00:21:20,240 Speaker 2: you know, they sued. They were sued and arguing that 329 00:21:20,359 --> 00:21:24,280 Speaker 2: this was all based on discrimination. In early twenty twenty one, 330 00:21:24,359 --> 00:21:29,240 Speaker 2: the FBI alerted the Minnesota Department of Education to allegations 331 00:21:29,280 --> 00:21:37,280 Speaker 2: of kickbacks, fabricated invoices, fake meals, and of this particular organization. 332 00:21:37,440 --> 00:21:40,879 Speaker 2: On January twenty and twenty twenty two, federal agents executed 333 00:21:41,000 --> 00:21:45,919 Speaker 2: search warrants at the nonprofits offices associated vendors uncovering evidence 334 00:21:46,000 --> 00:21:51,760 Speaker 2: of shell companies, falsified records, widespread misuse of child nutrition funds. 335 00:21:52,160 --> 00:21:56,840 Speaker 2: The operation marked the first public confirmation of this criminal probe. 336 00:21:57,400 --> 00:22:00,960 Speaker 2: Then the fraud deepened when it got when they got 337 00:22:01,000 --> 00:22:03,159 Speaker 2: into what doctor Oz talked about, and that is the 338 00:22:03,280 --> 00:22:07,320 Speaker 2: housing and the autism expenditures. I mean, this is where 339 00:22:07,440 --> 00:22:10,920 Speaker 2: you know, we're now talking about real money here. Anyway, 340 00:22:11,040 --> 00:22:15,320 Speaker 2: one program, the seventy million Dollar Fraud, exposes how Democrats 341 00:22:15,359 --> 00:22:18,240 Speaker 2: built the system designed to be robbed, but launched in 342 00:22:18,320 --> 00:22:21,920 Speaker 2: twenty twenty, they saw their surge from two point six 343 00:22:22,040 --> 00:22:24,840 Speaker 2: million dollars a year to more than one hundred million 344 00:22:24,880 --> 00:22:26,480 Speaker 2: dollars a year by twenty twenty four. 345 00:22:27,680 --> 00:22:31,159 Speaker 1: I mean, when it comes to housing and autism, I'm sorry, 346 00:22:31,480 --> 00:22:32,720 Speaker 1: you don't grow by that much. 347 00:22:33,760 --> 00:22:37,280 Speaker 2: You know, state payments for autism services balloon from about 348 00:22:37,400 --> 00:22:41,400 Speaker 2: six million and twenty eighteen, doctor Os believes it's gone 349 00:22:41,440 --> 00:22:44,200 Speaker 2: as high as a four hundred million. How do you grow? 350 00:22:44,760 --> 00:22:50,280 Speaker 2: How does it possibly grow that exponentially? But you know, well, 351 00:22:50,400 --> 00:22:53,680 Speaker 2: we're going to see what happens. I guess in the end. Here, Now, 352 00:22:53,960 --> 00:22:59,040 Speaker 2: we told you yesterday about and I quoted the Minneapolis 353 00:22:59,040 --> 00:23:04,080 Speaker 2: Star Tribune, newspaper yesterday on this program, and this was 354 00:23:04,160 --> 00:23:09,040 Speaker 2: from July of twenty nineteen. They raised the question these 355 00:23:09,080 --> 00:23:11,840 Speaker 2: people say, oh, these are you know, asked right, we 356 00:23:11,880 --> 00:23:15,680 Speaker 2: can conspiracy people raising the quest, Well, not really, as 357 00:23:15,720 --> 00:23:21,240 Speaker 2: it relates to Congresswoman Omar's marital history and possible immigration fraud. 358 00:23:22,000 --> 00:23:25,920 Speaker 2: During a deposition, Omar suggested she was unaware that she 359 00:23:26,720 --> 00:23:30,159 Speaker 2: violated tax law by filing a married jointly return with 360 00:23:30,280 --> 00:23:33,719 Speaker 2: the wrong husband. How do you put the wrong husband 361 00:23:34,720 --> 00:23:38,520 Speaker 2: on a tax return? But I went into great specificity 362 00:23:38,640 --> 00:23:44,080 Speaker 2: yesterday about what the Minneapolis Star Tribune reported in June 363 00:23:44,080 --> 00:23:47,960 Speaker 2: of twenty nineteen that given you know, all of these 364 00:23:48,040 --> 00:23:50,520 Speaker 2: new documents that were released at that time about the 365 00:23:50,600 --> 00:23:52,960 Speaker 2: marital history and whether or not she was once married 366 00:23:53,000 --> 00:23:56,879 Speaker 2: to a man quote possibly her own brother, their words, 367 00:23:56,960 --> 00:24:01,399 Speaker 2: not mine to skirt immigration laws. Now, let's fast forward 368 00:24:01,440 --> 00:24:06,040 Speaker 2: to today. Justinthnews dot Com has pointed out and is 369 00:24:06,160 --> 00:24:10,879 Speaker 2: quoting Tom Homan as saying that he's investigating whether or 370 00:24:10,920 --> 00:24:15,879 Speaker 2: not Congresswoman Omar committed immigration fraud and is thereby in 371 00:24:15,960 --> 00:24:19,560 Speaker 2: the country illegally. Now, she first came to the US 372 00:24:19,840 --> 00:24:22,320 Speaker 2: with her family in the nineteen nineties. According to her 373 00:24:22,400 --> 00:24:26,480 Speaker 2: Congressional Biography quote, we're pulling the records, we're pulling the 374 00:24:26,560 --> 00:24:30,119 Speaker 2: files home and said, yet earlier this week, we're looking 375 00:24:30,200 --> 00:24:33,000 Speaker 2: at it. I'm running this down this week, and he 376 00:24:33,080 --> 00:24:37,960 Speaker 2: said the DHS is conducting an extensive, extensive review of 377 00:24:38,119 --> 00:24:42,280 Speaker 2: visa fraud within Minnesota Somali community, which comes after the 378 00:24:42,359 --> 00:24:46,040 Speaker 2: Department claim fifty percent of visas in Minnesota are fraudulent. 379 00:24:47,040 --> 00:24:49,520 Speaker 2: That's just part one. Then if you go to the 380 00:24:49,680 --> 00:24:53,240 Speaker 2: New York Post, I mean it gets even more interesting. 381 00:24:55,440 --> 00:25:00,880 Speaker 2: Mystery is long swirled around Congresswoman ow Ma wark marriage 382 00:25:00,960 --> 00:25:04,880 Speaker 2: to Ahmed Elmi, who to whom she was wed from 383 00:25:04,920 --> 00:25:08,639 Speaker 2: two thousand and nine to twenty and seventeen, which various 384 00:25:08,720 --> 00:25:11,920 Speaker 2: politicians on the right have called a sham. This guy 385 00:25:12,000 --> 00:25:15,760 Speaker 2: Elmi left the US long before he was officially divorced, 386 00:25:16,600 --> 00:25:19,840 Speaker 2: and however, the Post can now reveal he's been studying 387 00:25:19,960 --> 00:25:23,040 Speaker 2: in the UK and in South Africa. He had a 388 00:25:23,200 --> 00:25:30,119 Speaker 2: child with her first husband, Ahmed Persi, while legally married 389 00:25:30,200 --> 00:25:34,040 Speaker 2: to Elmi. I know, this guy's confusing, but stick with me. 390 00:25:34,840 --> 00:25:38,280 Speaker 2: It's been speculated that they may be siblings. Well, there's 391 00:25:38,280 --> 00:25:39,840 Speaker 2: a way to figure that out in this day and 392 00:25:39,880 --> 00:25:43,520 Speaker 2: age of DNA Chaurus is indicated was actually Elmi who 393 00:25:43,600 --> 00:25:47,880 Speaker 2: needed help with emigrating to the US, and this Somali 394 00:25:48,000 --> 00:25:51,720 Speaker 2: blogger community leader told The Daily Mail in twenty twenty 395 00:25:51,840 --> 00:25:54,480 Speaker 2: that he knew Omar growing up, and he claimed that 396 00:25:54,520 --> 00:25:57,920 Speaker 2: when Elmi blew into town in the late two thousands, 397 00:25:57,960 --> 00:26:02,199 Speaker 2: the future congresswoman introduced him as her brother from London 398 00:26:02,320 --> 00:26:05,680 Speaker 2: to members of the community. So you have some witnesses 399 00:26:05,880 --> 00:26:07,920 Speaker 2: that are on the record. Again, I don't have any 400 00:26:08,000 --> 00:26:11,320 Speaker 2: clue what's true and what's not true, but it certainly 401 00:26:11,400 --> 00:26:12,520 Speaker 2: warrants an investigation. 402 00:26:12,680 --> 00:26:13,159 Speaker 1: I'll say that. 403 00:26:14,320 --> 00:26:18,320 Speaker 2: Then, a marriage certificate reviewed by The Post showed that 404 00:26:18,440 --> 00:26:21,760 Speaker 2: Omar and Elmi were married February twelve, two thousand and nine. 405 00:26:22,359 --> 00:26:25,840 Speaker 2: That wedding, held by a Christian minister, despite Omar being Muslim, 406 00:26:25,960 --> 00:26:29,600 Speaker 2: was legally recognized under US law, would have given Elmy 407 00:26:29,640 --> 00:26:33,439 Speaker 2: a pathway to apply for a green card. Anyway, They 408 00:26:33,520 --> 00:26:35,680 Speaker 2: describe it as the odd couple wed in o nine, 409 00:26:35,760 --> 00:26:39,520 Speaker 2: but Omar continue to have children with her first husband. Now, 410 00:26:39,680 --> 00:26:42,600 Speaker 2: does that sound a little suspicious to you? Sound suspicious 411 00:26:42,680 --> 00:26:46,720 Speaker 2: to me. However, marriage fraud is a serious federal crime, 412 00:26:46,840 --> 00:26:49,680 Speaker 2: punishable up to five years in prison and a two 413 00:26:49,720 --> 00:26:54,240 Speaker 2: hundred and fifty thousand dollars crime. Now back to James Comer, 414 00:26:54,359 --> 00:26:57,000 Speaker 2: House Oversight Committee Chairman. He said he is willing to 415 00:26:57,200 --> 00:27:03,000 Speaker 2: subpoena the Minnesota Governor Timmy Walls tamp tim over this 416 00:27:03,280 --> 00:27:06,040 Speaker 2: fraud scheme in his state. What did he know, when 417 00:27:06,080 --> 00:27:08,879 Speaker 2: did he know it? And what about the whistleblowers that 418 00:27:08,960 --> 00:27:11,520 Speaker 2: apparently were telling him that this was all going on? 419 00:27:11,760 --> 00:27:13,720 Speaker 2: And he didn't want to lift a finger and alienate 420 00:27:14,280 --> 00:27:17,280 Speaker 2: a voting base in the state. By the way, a 421 00:27:17,359 --> 00:27:21,440 Speaker 2: new g GAO analysis found that fifty eight dead people 422 00:27:21,560 --> 00:27:25,720 Speaker 2: were now getting Obamacare's subsidies. But anyway, the House Minority 423 00:27:25,760 --> 00:27:28,680 Speaker 2: whipped Tom Emmer has called Congressman Omar one of the 424 00:27:28,760 --> 00:27:32,720 Speaker 2: most duplicitest con artists I've ever seen. I mean, this 425 00:27:32,920 --> 00:27:37,320 Speaker 2: is beginning to crescendo. Doesn't it sound like Linda I hope. 426 00:27:37,160 --> 00:27:39,960 Speaker 3: To God all of these people and her at the 427 00:27:40,000 --> 00:27:41,000 Speaker 3: start go to prison. 428 00:27:42,359 --> 00:27:44,359 Speaker 1: I just don't know what's true and not true. We 429 00:27:44,440 --> 00:27:49,040 Speaker 1: do know this that and Oz's con put. 430 00:27:48,960 --> 00:27:53,240 Speaker 3: Down the wrong husband. Really, let's just start with that site. 431 00:27:53,920 --> 00:27:56,240 Speaker 1: Could have been well, that's very judgmentally. 432 00:27:56,359 --> 00:27:59,240 Speaker 3: Can you imagine if anybody else did that? You saorry, 433 00:27:59,320 --> 00:28:01,480 Speaker 3: wrong husband's wrong name. 434 00:28:02,760 --> 00:28:04,680 Speaker 2: Why why are you being so hurtful? Why are you 435 00:28:04,720 --> 00:28:07,840 Speaker 2: being so it could have been an honest mistake? Why 436 00:28:07,880 --> 00:28:09,920 Speaker 2: aren't you giving an honest. 437 00:28:09,640 --> 00:28:10,800 Speaker 3: Bone in that woman's body? 438 00:28:10,840 --> 00:28:11,520 Speaker 1: Give me a break? 439 00:28:11,840 --> 00:28:14,200 Speaker 2: Well, come on, I mean everyone puts down you could 440 00:28:14,280 --> 00:28:16,919 Speaker 2: easily make the mistake. I don't know, remember who I'm 441 00:28:16,960 --> 00:28:17,280 Speaker 2: married to? 442 00:28:17,600 --> 00:28:20,600 Speaker 3: Insane? So common sense has left the building. 443 00:28:20,600 --> 00:28:23,600 Speaker 1: No, no, no, I mean no, no, no, you're being judgmental. 444 00:28:23,960 --> 00:28:27,160 Speaker 3: You damn right, well, you damn right. 445 00:28:28,480 --> 00:28:32,400 Speaker 2: I mean, how is that possible that you'd put down 446 00:28:32,520 --> 00:28:36,720 Speaker 2: the wrong husband or the wrong wife? It doesn't matter. 447 00:28:37,840 --> 00:28:41,080 Speaker 2: I mean, if this doesn't warrant a full complete investigation, 448 00:28:41,240 --> 00:28:43,840 Speaker 2: I don't know what does. And the amount of money, 449 00:28:44,720 --> 00:28:47,840 Speaker 2: as Nute said yesterday, we're talking about the largest ever 450 00:28:48,520 --> 00:28:52,920 Speaker 2: in American history in terms of actual fraud. How do 451 00:28:53,040 --> 00:28:57,120 Speaker 2: you have eighty percent of children, according to OZ, that 452 00:28:57,560 --> 00:29:01,200 Speaker 2: are now autistic in just. 453 00:29:01,280 --> 00:29:02,320 Speaker 1: This one community. 454 00:29:03,440 --> 00:29:09,200 Speaker 2: Somebody had to be orchestrating, organizing, educating people into how 455 00:29:09,240 --> 00:29:11,080 Speaker 2: to get the most out of the system, don't you 456 00:29:11,240 --> 00:29:13,320 Speaker 2: think I mean common sense? 457 00:29:13,760 --> 00:29:14,480 Speaker 1: Yeah? I think so. 458 00:29:15,080 --> 00:29:15,280 Speaker 3: Yeah. 459 00:29:16,280 --> 00:29:20,440 Speaker 2: Now, when when you file I don't know, some application 460 00:29:20,960 --> 00:29:23,000 Speaker 2: and you have to put your husband's name down. I 461 00:29:23,120 --> 00:29:26,040 Speaker 2: would find it perfectly acceptable if you omitted Anthony. 462 00:29:26,720 --> 00:29:29,360 Speaker 3: Absolutely, what day is it? Who's my husband today? Let's see, 463 00:29:29,440 --> 00:29:31,560 Speaker 3: let's get my rolldecks out and see who my husband is. 464 00:29:31,720 --> 00:29:33,760 Speaker 1: I don't know who's your do you have? Who is 465 00:29:33,840 --> 00:29:34,240 Speaker 1: the husband? 466 00:29:35,200 --> 00:29:37,680 Speaker 3: Day is Anthony? It changes? It's crazy. 467 00:29:38,520 --> 00:29:41,360 Speaker 2: Well, is it possible that somebody could accidentally forget that? 468 00:29:41,520 --> 00:29:42,640 Speaker 2: Maybe you're being judgmental. 469 00:29:43,160 --> 00:29:45,800 Speaker 3: I'll tell you what if that's being judgmental, ding ding ding. 470 00:29:45,960 --> 00:29:46,600 Speaker 3: You gotta win it. 471 00:29:48,520 --> 00:29:51,360 Speaker 1: It is the most obscene thing I've heard. It's ridiculous. 472 00:29:51,640 --> 00:29:55,200 Speaker 3: It's ridiculous. It drives me insane. Just everybody can see 473 00:29:55,280 --> 00:29:56,320 Speaker 3: what it is. Just stop. 474 00:29:56,960 --> 00:29:59,440 Speaker 1: You can't make this, Adam Schiff up. You really can't.