1 00:00:00,120 --> 00:00:01,040 Speaker 1: Well we'll come in. 2 00:00:02,520 --> 00:00:11,480 Speaker 2: To Dona Gets sang you a conscious son, willow Bean. 3 00:00:14,800 --> 00:00:16,880 Speaker 1: And if you want a little banging a y, 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 00:00:40,680 --> 00:00:43,640 Speaker 2: agency around immigration law enforcement work. 12 00:00:44,200 --> 00:00:50,720 Speaker 1: Fredom is back in style. Welcome to the Revolution, come 13 00:00:50,800 --> 00:00:57,160 Speaker 1: in to your ce don Way Gets and saying you a. 14 00:00:57,240 --> 00:01:03,120 Speaker 2: Conscious sound the New Sean Hennity Show, more me I'm 15 00:01:03,160 --> 00:01:08,039 Speaker 2: the Scenes, information on freaking news, and more boned inspired 16 00:01:08,200 --> 00:01:12,480 Speaker 2: solutions for America. All right, thank you, Scott Shannon, Thanks 17 00:01:12,520 --> 00:01:14,839 Speaker 2: to all of you for being with us. Right down 18 00:01:14,959 --> 00:01:17,600 Speaker 2: our toll free telephone number. You want to be a 19 00:01:17,680 --> 00:01:19,520 Speaker 2: part of the program, It's eight hundred and ninety four 20 00:01:19,680 --> 00:01:23,280 Speaker 2: one Sean if you want to join us. Well, we've 21 00:01:23,280 --> 00:01:26,279 Speaker 2: been talking about the lowest gas prices in five years, 22 00:01:26,480 --> 00:01:31,000 Speaker 2: inflation way down. Since Donald Trump has become president. We 23 00:01:31,680 --> 00:01:35,200 Speaker 2: have talked about. Now you know, money's coming into the 24 00:01:35,280 --> 00:01:37,680 Speaker 2: federal government again. A lot of this is going to 25 00:01:37,760 --> 00:01:41,240 Speaker 2: hit the bloodstream of the economy starting in January, and 26 00:01:41,800 --> 00:01:46,600 Speaker 2: that means trillions and committed monies for manufacturing. And then, 27 00:01:46,680 --> 00:01:50,360 Speaker 2: of course, you know, gas prices five year low, although 28 00:01:50,400 --> 00:01:52,720 Speaker 2: in California, I guess you're paying close to five dollars 29 00:01:52,800 --> 00:01:55,160 Speaker 2: a gallon for gasoline still because they have the highest 30 00:01:55,200 --> 00:01:57,960 Speaker 2: gas taxes in the country, sales taxes in the country, 31 00:01:58,400 --> 00:02:02,400 Speaker 2: highest property taxes in the country, the highest poverty rate 32 00:02:02,440 --> 00:02:04,680 Speaker 2: in the country, highest homeless rate in the country, and 33 00:02:04,720 --> 00:02:06,040 Speaker 2: 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 potis 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 --> 00:09:02,880 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 00:09:53,960 --> 00:09:57,040 Speaker 2: they're going to be eating the word affordability. It's going 159 00:09:57,080 --> 00:09:59,959 Speaker 2: to be shoved right up right down there Adams sha 160 00:10:00,040 --> 00:10:04,240 Speaker 2: sift throats. So we'll wait and see what happens. But 161 00:10:04,880 --> 00:10:08,000 Speaker 2: you know, net thirty four percent of owners raising, you know, 162 00:10:08,160 --> 00:10:12,360 Speaker 2: selling prices and that's getting under control too under Biden. 163 00:10:13,280 --> 00:10:17,280 Speaker 2: Pretty unbelievable. We have a lot of immigration news today. 164 00:10:19,280 --> 00:10:25,679 Speaker 2: The Transportation Secretary Sean Duffy has now yanked driver's licenses 165 00:10:25,720 --> 00:10:30,480 Speaker 2: of nearly ten thousand non English speaking truck drivers. He said, 166 00:10:30,679 --> 00:10:34,000 Speaker 2: we have now knocked ninety five hundred truck drivers at 167 00:10:34,080 --> 00:10:38,240 Speaker 2: a service for failing to speak our national language English. 168 00:10:38,760 --> 00:10:41,120 Speaker 2: He said, this administration will always put you in your 169 00:10:41,200 --> 00:10:45,040 Speaker 2: family and your family safety first. And the federal government 170 00:10:45,040 --> 00:10:47,640 Speaker 2: has now taken several steps this year to crack down 171 00:10:47,720 --> 00:10:50,199 Speaker 2: on non English speaking truck drivers in the name of 172 00:10:50,280 --> 00:10:53,120 Speaker 2: highway safety. I mean that where have they been getting 173 00:10:53,160 --> 00:10:56,199 Speaker 2: these Where have illegals that don't speak English been getting 174 00:10:56,240 --> 00:11:00,120 Speaker 2: driver's licenses from states like Washington State in California? And 175 00:11:00,240 --> 00:11:03,440 Speaker 2: what's happening. They can't read, They can't read road signs. 176 00:11:03,520 --> 00:11:05,480 Speaker 2: As we learned in the case in Florida where three 177 00:11:05,559 --> 00:11:09,440 Speaker 2: innocent people were murdered and killed. We learned that guy 178 00:11:09,480 --> 00:11:13,120 Speaker 2: couldn't speak English and couldn't read road signs. One top 179 00:11:13,240 --> 00:11:17,800 Speaker 2: counter terrorism official telling Congress the Biden administration let eighteen 180 00:11:18,120 --> 00:11:25,600 Speaker 2: thousand known or suspected terrorists into the country, eighteen thousand. 181 00:11:25,679 --> 00:11:26,800 Speaker 1: 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 --> 00:13:59,520 Speaker 2: money on law enforcement to do it. 224 00:14:00,400 --> 00:14:00,520 Speaker 1: Now. 225 00:14:00,559 --> 00:14:03,280 Speaker 2: We also have an Obama appointed judge has ordered the 226 00:14:03,360 --> 00:14:08,720 Speaker 2: immediate release of the Democrat's favorite alleged wife beating gangbanger, 227 00:14:08,960 --> 00:14:12,040 Speaker 2: illegal alien, and here he is back in the news. 228 00:14:12,240 --> 00:14:17,880 Speaker 2: Kilmar Abrego Garcia thirty one page opinion Obama appointed judge 229 00:14:18,480 --> 00:14:22,600 Speaker 2: District Judge Paula. I can't pronounce her last name because 230 00:14:22,800 --> 00:14:27,280 Speaker 2: Abrego Garcia has been held in iced attention to effectuate 231 00:14:27,520 --> 00:14:31,720 Speaker 2: third country removal absence of lawful removal orders. Has requested 232 00:14:31,800 --> 00:14:35,520 Speaker 2: relief as proper. Oh, let's let let's let the guy 233 00:14:35,600 --> 00:14:37,760 Speaker 2: back out in the country. His own wife accused him 234 00:14:37,920 --> 00:14:42,000 Speaker 2: of domestic abuse. His own wife, not like we have 235 00:14:42,120 --> 00:14:44,720 Speaker 2: to prove it, and she's been out there defending it. 236 00:14:46,800 --> 00:14:48,760 Speaker 2: By the way, we'll play this later in the program. 237 00:14:48,960 --> 00:14:52,920 Speaker 2: Remember Benny Thompson along with Liz Cheney, was on that, 238 00:14:53,160 --> 00:14:59,680 Speaker 2: you know, Prime Time Hollywood produced January sixth, Predetermined Outcome Hearings, 239 00:14:59,760 --> 00:15:02,440 Speaker 2: you know, the one where they would rather listen to 240 00:15:02,520 --> 00:15:05,640 Speaker 2: a hearsay witness talk about Oh, Donald Trump, I hear 241 00:15:06,280 --> 00:15:08,960 Speaker 2: tried to commandeer the beast that he was being driven 242 00:15:09,040 --> 00:15:11,920 Speaker 2: in that day. Except the only problem is the driver 243 00:15:12,280 --> 00:15:15,480 Speaker 2: of that very car said, that's not true. You know 244 00:15:15,600 --> 00:15:18,880 Speaker 2: they never played well. Now many of you will peacefully 245 00:15:18,960 --> 00:15:22,200 Speaker 2: and patriotically march to the Capitol so your voices will 246 00:15:22,240 --> 00:15:25,080 Speaker 2: be heard. I tell the American people the whole truth 247 00:15:25,600 --> 00:15:29,360 Speaker 2: if it defeats a political narrative. Anyway, he says, the 248 00:15:29,480 --> 00:15:33,440 Speaker 2: deliberate murder of the National Guard hero and the injuries 249 00:15:33,520 --> 00:15:37,440 Speaker 2: of another National Guard hero was an unfortunate accident. Why 250 00:15:37,480 --> 00:15:40,400 Speaker 2: do you hear me play that later in the show. Sure, 251 00:15:40,480 --> 00:15:44,080 Speaker 2: that's going to make you feel great. An unfortunate accident, 252 00:15:44,400 --> 00:15:47,600 Speaker 2: now that would be like cold blooded murder. I don't know, 253 00:15:47,880 --> 00:15:50,120 Speaker 2: just have a different view of how you define things. Right. 254 00:15:50,640 --> 00:15:53,160 Speaker 2: So I'm reading bright part today and that's where I 255 00:15:53,280 --> 00:15:58,080 Speaker 2: saw They quoted the Center for Immigration Studies that more 256 00:15:58,160 --> 00:16:02,280 Speaker 2: than eight and ten households headed by Somali refugees in 257 00:16:02,360 --> 00:16:07,120 Speaker 2: the state of Minnesota are on one or more forms 258 00:16:07,160 --> 00:16:11,160 Speaker 2: of American taxpayer funded welfare. The data is based on 259 00:16:11,320 --> 00:16:15,320 Speaker 2: ten years of data from the Census Bureaus American Community 260 00:16:15,440 --> 00:16:20,840 Speaker 2: Service that shows drastic disparities between native born American households 261 00:16:20,880 --> 00:16:26,400 Speaker 2: and Somali born households in Minnesota, where nearly eighty thousand 262 00:16:26,520 --> 00:16:34,000 Speaker 2: residents have Somalia ancestry compared to zero who had Somalian 263 00:16:34,040 --> 00:16:38,200 Speaker 2: ancestry in nineteen ninety. So this is a fairly new 264 00:16:38,280 --> 00:16:42,160 Speaker 2: phenomenon even in Minnesota, but it's now emerged into a 265 00:16:42,240 --> 00:16:45,960 Speaker 2: large voting block. In particular, the data shows that eighty 266 00:16:46,040 --> 00:16:50,640 Speaker 2: one percent of Minnesota households headed by Somali refugees are 267 00:16:50,880 --> 00:16:54,880 Speaker 2: on one or more forms of welfare, including twenty seven 268 00:16:54,920 --> 00:16:57,400 Speaker 2: percent that are on cash welfare, fifty four percent on 269 00:16:57,520 --> 00:17:01,440 Speaker 2: food stamps, seventy three percent this is what doctor Osso's 270 00:17:01,440 --> 00:17:05,159 Speaker 2: pointing out on this program on Medicaid. Now, if you 271 00:17:05,240 --> 00:17:11,440 Speaker 2: compare this welfare to Native born American residents of Minnesota, 272 00:17:11,440 --> 00:17:14,880 Speaker 2: it's only twenty one percent of whom are on one 273 00:17:15,119 --> 00:17:18,879 Speaker 2: or more welfare programs. And then it shows you the 274 00:17:19,680 --> 00:17:26,760 Speaker 2: growth in the Somali Somali population in Minnesota, and then 275 00:17:26,800 --> 00:17:33,040 Speaker 2: it shows the welfare rates in Minnesota by household, and 276 00:17:33,480 --> 00:17:37,679 Speaker 2: you see this massive disparity. For example, eighty nine percent 277 00:17:37,760 --> 00:17:42,000 Speaker 2: of Somali headed households with children in Minnesota are on 278 00:17:42,280 --> 00:17:46,840 Speaker 2: one or more forms of welfare, as are eighty six 279 00:17:46,920 --> 00:17:51,240 Speaker 2: percent on Medicaid. About sixty two percent of Somali households 280 00:17:51,320 --> 00:17:54,840 Speaker 2: with children in the state are on food stamps, twenty 281 00:17:54,920 --> 00:17:58,200 Speaker 2: three percent take cash welfare. Nearly every Somali household with 282 00:17:58,320 --> 00:18:03,960 Speaker 2: children receives some form of welfare, according to the SEA 283 00:18:04,560 --> 00:18:09,119 Speaker 2: Center for Immigration Services researcher Jason Richwind. 284 00:18:09,520 --> 00:18:11,080 Speaker 1: Now this is what Oz was saying. 285 00:18:11,520 --> 00:18:14,840 Speaker 2: He used the number eight and ten, So it's not 286 00:18:15,000 --> 00:18:19,080 Speaker 2: coming out of thin air here, and you know something 287 00:18:19,200 --> 00:18:22,159 Speaker 2: is going on. But if you look at you know 288 00:18:22,600 --> 00:18:26,040 Speaker 2: we now be as neck Ingrid said yesterday, you're probably 289 00:18:26,119 --> 00:18:30,320 Speaker 2: looking at the biggest between COVID fraud and this the 290 00:18:30,400 --> 00:18:34,880 Speaker 2: biggest fraud scandal in the history of the country. US 291 00:18:35,160 --> 00:18:40,440 Speaker 2: former US Acting Attorney Joseph Thompson described the scams as 292 00:18:40,640 --> 00:18:44,480 Speaker 2: schemes stacked upon schemes that drained tens and tens of 293 00:18:44,600 --> 00:18:48,680 Speaker 2: millions from medicaid. Scott Besson announced at the start of 294 00:18:48,720 --> 00:18:52,000 Speaker 2: the month that he'd opened an investigation into the mismanagement 295 00:18:52,080 --> 00:18:56,200 Speaker 2: of all this by Governor Walls and allowed what US 296 00:18:56,280 --> 00:19:01,240 Speaker 2: Attorney for the District of Minnesota Daniel called the largest 297 00:19:01,320 --> 00:19:05,360 Speaker 2: COVID nineteen fraud scheme in the country. And days later 298 00:19:05,440 --> 00:19:08,520 Speaker 2: the House Government Reform and Oversight Committee and we'll get 299 00:19:08,520 --> 00:19:10,679 Speaker 2: to James Comer in a minute, it said they're launching 300 00:19:10,720 --> 00:19:15,040 Speaker 2: their investigation into this widespread fraud, you know. And the 301 00:19:15,080 --> 00:19:17,480 Speaker 2: worst part of all of this is you had whistleblowers 302 00:19:17,760 --> 00:19:23,240 Speaker 2: that were warning governor walls about this, but obviously political considerations, 303 00:19:23,960 --> 00:19:26,600 Speaker 2: you know, were more important and were front and center. 304 00:19:27,320 --> 00:19:31,280 Speaker 2: And apparently all of this was known during the vetting 305 00:19:31,560 --> 00:19:35,439 Speaker 2: of Kamala Harrison our team, and they still picked this guy. Anyway, 306 00:19:35,480 --> 00:19:39,520 Speaker 2: it exploded now into the public consciousness this you know, 307 00:19:40,040 --> 00:19:44,320 Speaker 2: nonprofits siphoned hundreds of millions of dollars from child nutrition, medicaid, 308 00:19:44,640 --> 00:19:48,320 Speaker 2: housing programs. And you know, if you look at what 309 00:19:48,840 --> 00:19:50,880 Speaker 2: happened on November seven, we can go all the way 310 00:19:50,920 --> 00:19:54,920 Speaker 2: back to twenty sixteen. Beating our Future, the organization, according 311 00:19:54,960 --> 00:19:58,040 Speaker 2: to the DOJ, that was the mastermind behind a lot 312 00:19:58,119 --> 00:20:02,240 Speaker 2: of this and and again this is reported on boxnews 313 00:20:02,320 --> 00:20:05,760 Speaker 2: dot com and through the Minnesota Department of Education, they 314 00:20:05,920 --> 00:20:09,840 Speaker 2: denied the application to be a sponsor in the state's 315 00:20:09,960 --> 00:20:13,120 Speaker 2: child and adult care program, and the agency ultimately approved 316 00:20:13,160 --> 00:20:17,000 Speaker 2: the nonprofit. And then you know, you go on and 317 00:20:17,119 --> 00:20:21,280 Speaker 2: on through participation in the federal nutrition program. They received 318 00:20:21,320 --> 00:20:25,080 Speaker 2: three point four million in twenty nineteen. Then it begins 319 00:20:25,160 --> 00:20:29,840 Speaker 2: to grow exponentially during COVID monthly tax reimbursements for meals 320 00:20:29,880 --> 00:20:35,480 Speaker 2: snack counts balloon till by twenty eight hundred percent just 321 00:20:35,600 --> 00:20:40,800 Speaker 2: between twenty twenty and twenty twenty one. By April, you know, 322 00:20:40,960 --> 00:20:43,679 Speaker 2: they claim to have grown to the point that around 323 00:20:43,760 --> 00:20:47,640 Speaker 2: thirty two million dollars in reimbursements for twelve million meals 324 00:20:48,400 --> 00:20:52,560 Speaker 2: and snacks for a single month, and in total, you know, 325 00:20:52,880 --> 00:20:56,960 Speaker 2: they opened two hundred and fifty federal child nutrition sites 326 00:20:57,000 --> 00:21:00,320 Speaker 2: throughout the state of Minnesota, and the money just kept 327 00:21:00,359 --> 00:21:05,159 Speaker 2: flowing and it didn't stop, and concerns were stifled by 328 00:21:05,240 --> 00:21:09,240 Speaker 2: claims of discrimination. When in late twenty twenty the Minnesota 329 00:21:09,280 --> 00:21:15,359 Speaker 2: Department of Education began scrutinize scrutinizing the unlikely exponential growth, 330 00:21:16,440 --> 00:21:20,240 Speaker 2: you know, they sued. They were sued and arguing that 331 00:21:20,359 --> 00:21:24,280 Speaker 2: this was all based on discrimination. In early twenty twenty one, 332 00:21:24,359 --> 00:21:29,240 Speaker 2: the FBI alerted the Minnesota Department of Education to allegations 333 00:21:29,280 --> 00:21:37,280 Speaker 2: of kickbacks, fabricated invoices, fake meals, and of this particular organization. 334 00:21:37,440 --> 00:21:40,879 Speaker 2: On January twenty and twenty twenty two, federal agents executed 335 00:21:41,000 --> 00:21:45,919 Speaker 2: search warrants at the nonprofits offices associated vendors uncovering evidence 336 00:21:46,000 --> 00:21:51,760 Speaker 2: of shell companies, falsified records, widespread misuse of child nutrition funds. 337 00:21:52,160 --> 00:21:56,840 Speaker 2: The operation marked the first public confirmation of this criminal probe. 338 00:21:57,400 --> 00:22:00,960 Speaker 2: Then the fraud deepened when it got when they got 339 00:22:01,000 --> 00:22:03,159 Speaker 2: into what doctor Oz talked about, and that is the 340 00:22:03,280 --> 00:22:07,320 Speaker 2: housing and the autism expenditures. I mean, this is where 341 00:22:07,440 --> 00:22:10,920 Speaker 2: you know, we're now talking about real money here. Anyway, 342 00:22:11,040 --> 00:22:15,320 Speaker 2: one program, the seventy million Dollar Fraud, exposes how Democrats 343 00:22:15,359 --> 00:22:18,240 Speaker 2: built the system designed to be robbed, but launched in 344 00:22:18,320 --> 00:22:21,920 Speaker 2: twenty twenty, they saw their surge from two point six 345 00:22:22,040 --> 00:22:24,840 Speaker 2: million dollars a year to more than one hundred million 346 00:22:24,880 --> 00:22:26,480 Speaker 2: dollars a year by twenty twenty four. 347 00:22:27,680 --> 00:22:31,159 Speaker 1: I mean, when it comes to housing and autism, I'm sorry, 348 00:22:31,480 --> 00:22:32,720 Speaker 1: you don't grow by that much. 349 00:22:33,760 --> 00:22:37,280 Speaker 2: You know, state payments for autism services balloon from about 350 00:22:37,400 --> 00:22:41,400 Speaker 2: six million and twenty eighteen, doctor Os believes it's gone 351 00:22:41,440 --> 00:22:44,200 Speaker 2: as high as a four hundred million. How do you grow? 352 00:22:44,760 --> 00:22:50,280 Speaker 2: How does it possibly grow that exponentially? But you know, well, 353 00:22:50,400 --> 00:22:53,680 Speaker 2: we're going to see what happens. I guess in the end. Here, Now, 354 00:22:53,960 --> 00:22:59,040 Speaker 2: we told you yesterday about and I quoted the Minneapolis 355 00:22:59,040 --> 00:23:04,080 Speaker 2: Star Tribune, newspaper yesterday on this program, and this was 356 00:23:04,160 --> 00:23:09,040 Speaker 2: from July of twenty nineteen. They raised the question these 357 00:23:09,080 --> 00:23:11,840 Speaker 2: people say, oh, these are you know, asked right, we 358 00:23:11,880 --> 00:23:15,680 Speaker 2: can conspiracy people raising the quest, Well, not really, as 359 00:23:15,720 --> 00:23:21,240 Speaker 2: it relates to Congresswoman Omar's marital history and possible immigration fraud. 360 00:23:22,000 --> 00:23:25,920 Speaker 2: During a deposition, Omar suggested she was unaware that she 361 00:23:26,720 --> 00:23:30,159 Speaker 2: violated tax law by filing a married jointly return with 362 00:23:30,280 --> 00:23:33,719 Speaker 2: the wrong husband. How do you put the wrong husband 363 00:23:34,720 --> 00:23:38,520 Speaker 2: on a tax return? But I went into great specificity 364 00:23:38,640 --> 00:23:44,080 Speaker 2: yesterday about what the Minneapolis Star Tribune reported in June 365 00:23:44,080 --> 00:23:47,960 Speaker 2: of twenty nineteen that given you know, all of these 366 00:23:48,040 --> 00:23:50,520 Speaker 2: new documents that were released at that time about the 367 00:23:50,600 --> 00:23:52,960 Speaker 2: marital history and whether or not she was once married 368 00:23:53,000 --> 00:23:56,879 Speaker 2: to a man quote possibly her own brother, their words, 369 00:23:56,960 --> 00:23:59,480 Speaker 2: not mine to skirt immigration laws. 370 00:24:00,080 --> 00:24:01,919 Speaker 1: Now, let's fast forward to today. 371 00:24:03,040 --> 00:24:06,800 Speaker 2: Justinthnews dot Com has pointed out and is quoting Tom 372 00:24:06,880 --> 00:24:12,160 Speaker 2: Homan as saying that he's investigating whether or not Congresswoman 373 00:24:12,240 --> 00:24:18,119 Speaker 2: Omar committed immigration fraud and is thereby in the country illegally. Now, 374 00:24:18,240 --> 00:24:20,639 Speaker 2: she first came to the US with her family in 375 00:24:20,680 --> 00:24:24,760 Speaker 2: the nineteen nineties. According to her Congressional Biography quote, we're 376 00:24:24,840 --> 00:24:27,640 Speaker 2: pulling the records, we're pulling the files home and said, 377 00:24:27,720 --> 00:24:31,240 Speaker 2: yet earlier this week, we're looking at it. I'm running 378 00:24:31,280 --> 00:24:34,159 Speaker 2: this down this week, and he said the DHS is 379 00:24:34,200 --> 00:24:39,720 Speaker 2: conducting an extensive, extensive review of visa fraud within Minnesota 380 00:24:39,800 --> 00:24:43,760 Speaker 2: Somali community, which comes after the Department claim fifty percent 381 00:24:43,840 --> 00:24:48,040 Speaker 2: of visas in Minnesota are fraudulent. That's just part one. 382 00:24:48,800 --> 00:24:51,560 Speaker 2: Then if you go to the New York Post, I 383 00:24:51,640 --> 00:24:57,439 Speaker 2: mean it gets even more interesting. Mystery is long swirled 384 00:24:58,160 --> 00:25:03,240 Speaker 2: around Congresswoman ow Ma wark marriage to Ahmed Elmi, who 385 00:25:03,640 --> 00:25:05,920 Speaker 2: to whom she was wed from two thousand and nine 386 00:25:05,960 --> 00:25:09,800 Speaker 2: to twenty and seventeen, which various politicians on the right 387 00:25:09,840 --> 00:25:13,320 Speaker 2: have called a sham. This guy Elmi left the US 388 00:25:13,840 --> 00:25:17,760 Speaker 2: long before he was officially divorced, and however, the Post 389 00:25:17,920 --> 00:25:20,840 Speaker 2: can now reveal he's been studying in the UK and 390 00:25:20,960 --> 00:25:24,679 Speaker 2: in South Africa. He had a child with her first husband, 391 00:25:24,800 --> 00:25:32,359 Speaker 2: Ahmed Persi, while legally married to Elmi. I know, this 392 00:25:32,480 --> 00:25:36,639 Speaker 2: guy's confusing, but stick with me. It's been speculated that 393 00:25:36,800 --> 00:25:38,960 Speaker 2: they may be siblings. Well, there's a way to figure 394 00:25:39,000 --> 00:25:41,760 Speaker 2: that out in this day and age of DNA Taurus 395 00:25:41,880 --> 00:25:45,480 Speaker 2: is indicated was actually Elmi who needed help with emigrating 396 00:25:45,520 --> 00:25:50,120 Speaker 2: to the US, and this Somali blogger community leader told 397 00:25:50,160 --> 00:25:52,560 Speaker 2: The Daily Mail in twenty twenty that he knew Omar 398 00:25:52,720 --> 00:25:56,240 Speaker 2: growing up, and he claimed that when Elmi blew into 399 00:25:56,359 --> 00:25:59,680 Speaker 2: town in the late two thousands, the future congresswoman introduced 400 00:25:59,760 --> 00:26:03,680 Speaker 2: him as her brother from London to members of the community. 401 00:26:04,480 --> 00:26:07,240 Speaker 2: So you have some witnesses that are on the record. Again, 402 00:26:07,280 --> 00:26:10,640 Speaker 2: I don't have any clue what's true and what's not true, 403 00:26:10,720 --> 00:26:12,520 Speaker 2: but it certainly warrants an investigation. 404 00:26:12,680 --> 00:26:13,159 Speaker 1: I'll say that. 405 00:26:14,320 --> 00:26:18,320 Speaker 2: Then, a marriage certificate reviewed by The Post showed that 406 00:26:18,440 --> 00:26:21,760 Speaker 2: Omar and Elmi were married February twelve, two thousand and nine. 407 00:26:22,359 --> 00:26:25,840 Speaker 2: That wedding, held by a Christian minister, despite Omar being Muslim, 408 00:26:25,960 --> 00:26:29,600 Speaker 2: was legally recognized under US law, would have given Elmy 409 00:26:29,640 --> 00:26:33,439 Speaker 2: a pathway to apply for a green card. Anyway, They 410 00:26:33,520 --> 00:26:35,680 Speaker 2: describe it as the odd couple wed in o nine, 411 00:26:35,760 --> 00:26:39,520 Speaker 2: but Omar continue to have children with her first husband. Now, 412 00:26:39,680 --> 00:26:42,600 Speaker 2: does that sound a little suspicious to you? Sound suspicious 413 00:26:42,680 --> 00:26:46,720 Speaker 2: to me. However, marriage fraud is a serious federal crime, 414 00:26:46,840 --> 00:26:49,680 Speaker 2: punishable up to five years in prison and a two 415 00:26:49,720 --> 00:26:54,240 Speaker 2: hundred and fifty thousand dollars crime. Now back to James Comer, 416 00:26:54,359 --> 00:26:57,000 Speaker 2: House Oversight Committee Chairman. He said he is willing to 417 00:26:57,200 --> 00:27:03,000 Speaker 2: subpoena the Minnesota Governor Timmy Walls tamp tim over this 418 00:27:03,280 --> 00:27:06,040 Speaker 2: Froud scheme in his state. What did he know, when 419 00:27:06,080 --> 00:27:08,879 Speaker 2: did he know it? And what about the whistleblowers that 420 00:27:08,960 --> 00:27:11,520 Speaker 2: apparently were telling him that this was all going on? 421 00:27:11,760 --> 00:27:13,720 Speaker 2: And he didn't want to lift a finger and alienate 422 00:27:14,280 --> 00:27:17,280 Speaker 2: a voting base in the state. By the way, a 423 00:27:17,359 --> 00:27:21,440 Speaker 2: new g GAO analysis found that fifty eight dead people 424 00:27:21,560 --> 00:27:25,720 Speaker 2: were now getting Obamacare's subsidies. But anyway, the House Minority 425 00:27:25,760 --> 00:27:28,680 Speaker 2: whipped Tom Emmer has called Congressman Omar one of the 426 00:27:28,760 --> 00:27:32,720 Speaker 2: most duplicitest con artists I've ever seen. I mean, this 427 00:27:32,920 --> 00:27:37,320 Speaker 2: is beginning to crescendo. Doesn't it sound like Linda I hope. 428 00:27:37,160 --> 00:27:39,960 Speaker 3: To God all of these people and her at the 429 00:27:40,000 --> 00:27:41,000 Speaker 3: start go to prison. 430 00:27:42,359 --> 00:27:44,359 Speaker 1: I just don't know what's true and not true. We 431 00:27:44,440 --> 00:27:49,040 Speaker 1: do know this that and Oz's con put. 432 00:27:48,960 --> 00:27:50,000 Speaker 3: Down the wrong husband. 433 00:27:50,440 --> 00:27:54,640 Speaker 2: Really, let's just start with that site could have been well, 434 00:27:55,160 --> 00:27:56,240 Speaker 2: that's very judgmentally. 435 00:27:56,359 --> 00:27:59,200 Speaker 3: Can you imagine if anybody else did that? You sorry, 436 00:27:59,320 --> 00:28:02,520 Speaker 3: wrong husband's wrong name? Sorry? 437 00:28:02,760 --> 00:28:04,680 Speaker 2: Why why are you being so hurtful? Why are you 438 00:28:04,720 --> 00:28:07,840 Speaker 2: being so It could have been an honest mistake? Why 439 00:28:07,880 --> 00:28:09,920 Speaker 2: aren't you giving an honest. 440 00:28:09,640 --> 00:28:10,800 Speaker 3: Bone in that woman's body? 441 00:28:10,840 --> 00:28:11,520 Speaker 1: Give me a break? 442 00:28:11,840 --> 00:28:14,200 Speaker 2: Well, come on, I mean everyone puts down you could 443 00:28:14,280 --> 00:28:16,919 Speaker 2: easily make the mistake. I don't know, remember who I'm 444 00:28:16,960 --> 00:28:17,280 Speaker 2: married to? 445 00:28:17,600 --> 00:28:20,600 Speaker 3: Insane? So common sense has left the building. 446 00:28:20,600 --> 00:28:23,600 Speaker 1: No, no, no, I mean no, no, no, you're being judgmental. 447 00:28:23,960 --> 00:28:27,160 Speaker 3: You damn right, well, you damn right. 448 00:28:28,480 --> 00:28:32,400 Speaker 2: I mean, how is that possible that you'd put down 449 00:28:32,520 --> 00:28:36,720 Speaker 2: the wrong husband or the wrong wife? It doesn't matter. 450 00:28:37,800 --> 00:28:41,080 Speaker 2: I mean, if this doesn't warrant a full complete investigation, 451 00:28:41,240 --> 00:28:43,840 Speaker 2: I don't know what does. And the amount of money, 452 00:28:44,720 --> 00:28:47,840 Speaker 2: as Nute said yesterday, we're talking about the largest ever 453 00:28:48,520 --> 00:28:52,920 Speaker 2: in American history in terms of actual fraud. How do 454 00:28:53,040 --> 00:28:57,120 Speaker 2: you have eighty percent of children, according to OZ, that 455 00:28:57,560 --> 00:29:01,200 Speaker 2: are now autistic in just. 456 00:29:01,280 --> 00:29:02,320 Speaker 1: This one community. 457 00:29:03,440 --> 00:29:09,200 Speaker 2: Somebody had to be orchestrating, organizing, educating people into how 458 00:29:09,240 --> 00:29:11,080 Speaker 2: to get the most out of the system, don't you 459 00:29:11,240 --> 00:29:13,320 Speaker 2: think I mean common sense? 460 00:29:13,760 --> 00:29:14,520 Speaker 1: Yeah? I think so. 461 00:29:15,080 --> 00:29:15,280 Speaker 3: Yeah. 462 00:29:16,280 --> 00:29:20,440 Speaker 2: Now, when when you file I don't know, some application 463 00:29:20,960 --> 00:29:23,000 Speaker 2: and you have to put your husband's name down. I 464 00:29:23,120 --> 00:29:26,040 Speaker 2: would find it perfectly acceptable if you omitted Anthony. 465 00:29:26,720 --> 00:29:29,360 Speaker 3: Absolutely, what day is it? Who's my husband today? Let's see, 466 00:29:29,440 --> 00:29:31,560 Speaker 3: let's get my rolldecks out and see who my husband is. 467 00:29:31,720 --> 00:29:33,760 Speaker 1: I don't know who's your do you have? Who is 468 00:29:33,840 --> 00:29:34,240 Speaker 1: the husband? 469 00:29:35,200 --> 00:29:37,680 Speaker 3: Day is Anthony? It changes? It's crazy. 470 00:29:38,520 --> 00:29:41,360 Speaker 2: Well, is it possible that somebody could accidentally forget that? 471 00:29:41,520 --> 00:29:42,640 Speaker 2: Maybe you're being judgmental. 472 00:29:43,160 --> 00:29:45,800 Speaker 3: I'll tell you what if that's being judgmental, ding ding ding. 473 00:29:45,960 --> 00:29:46,600 Speaker 3: You gotta win it. 474 00:29:48,520 --> 00:29:51,360 Speaker 1: It is the most obscene thing I've heard. It's ridiculous. 475 00:29:51,640 --> 00:29:55,200 Speaker 3: It's ridiculous. It drives me insane. Just everybody can see 476 00:29:55,280 --> 00:29:55,640 Speaker 3: what it is. 477 00:29:55,840 --> 00:29:58,720 Speaker 1: Just stop. You can't make this, Adam Schiff up. You 478 00:29:58,840 --> 00:29:59,440 Speaker 1: really can't.