1 00:00:00,280 --> 00:00:02,440 Speaker 1: All right, thank you Scott Shannon, and thanks to all 2 00:00:02,480 --> 00:00:04,720 Speaker 1: of you for being with us. Right down our toll 3 00:00:04,760 --> 00:00:08,119 Speaker 1: free a number, it is eight hundred nine to four one. 4 00:00:08,160 --> 00:00:08,440 Speaker 2: Shawn. 5 00:00:08,440 --> 00:00:10,360 Speaker 1: If you want to be a part of the program today, 6 00:00:10,400 --> 00:00:13,000 Speaker 1: we'll love to get to your calls, your comments, your 7 00:00:13,039 --> 00:00:20,000 Speaker 1: intuitive insight, your observations of life, etc. Excuse me, we'll 8 00:00:20,079 --> 00:00:23,079 Speaker 1: check in with simple man Billo Riley today. Also, Riley 9 00:00:23,280 --> 00:00:26,320 Speaker 1: Gains probably one of the greatest, if not the greatest 10 00:00:26,400 --> 00:00:29,800 Speaker 1: college swimmer of all time, and she's taken on this 11 00:00:29,960 --> 00:00:34,200 Speaker 1: issue of the Biden administration now pretty much eliminating title mind. 12 00:00:34,240 --> 00:00:39,199 Speaker 1: Title nine, if you don't know, allows an equal number 13 00:00:39,400 --> 00:00:44,680 Speaker 1: of slots, scholarships, etc. For female athletes as they allow 14 00:00:44,760 --> 00:00:49,720 Speaker 1: for male athletes, which is fair. And the problem now 15 00:00:49,760 --> 00:00:53,960 Speaker 1: has become is that Joe Biden now is saying that 16 00:00:54,080 --> 00:01:01,960 Speaker 1: states cannot have policies that don't allow trans or somebody 17 00:01:01,960 --> 00:01:05,640 Speaker 1: that was born biologically a man to compete in women's sports, 18 00:01:06,000 --> 00:01:07,640 Speaker 1: which is fundamentally unfair. 19 00:01:07,760 --> 00:01:08,800 Speaker 2: Caitlin Jenner's right. 20 00:01:09,240 --> 00:01:12,240 Speaker 1: I think she's been the most articulate now spoken incredible 21 00:01:12,240 --> 00:01:17,040 Speaker 1: on this of anybody out there. And Riley competed against 22 00:01:17,120 --> 00:01:20,039 Speaker 1: Leah Thomas for example, and her credit she. 23 00:01:21,680 --> 00:01:23,600 Speaker 2: Tied her she did really well. 24 00:01:24,120 --> 00:01:26,080 Speaker 1: But then they're on the podium and they said, but 25 00:01:26,080 --> 00:01:27,680 Speaker 1: we're going to give it to Lea Thomas. 26 00:01:28,400 --> 00:01:30,360 Speaker 2: I mean, what is that, you know? 27 00:01:30,640 --> 00:01:34,800 Speaker 1: And there is a biological component to this, you know, look, 28 00:01:34,840 --> 00:01:39,440 Speaker 1: for example, the physical size of Lea Thomas. And as 29 00:01:39,560 --> 00:01:43,000 Speaker 1: Kaitlin has articulated, you know, it's not a matter of 30 00:01:43,720 --> 00:01:48,200 Speaker 1: what your testosterone levels are at that age when you're swimming. 31 00:01:48,840 --> 00:01:51,640 Speaker 1: Let's say you have zero testosterone in your system or 32 00:01:51,680 --> 00:01:55,280 Speaker 1: if that's even possible. I don't know. Listen, biology was 33 00:01:55,280 --> 00:01:58,040 Speaker 1: not my topic. It was not my subject. My eyes 34 00:01:58,080 --> 00:02:02,040 Speaker 1: glazed over until they got to the sex part. Just kidding, 35 00:02:02,360 --> 00:02:09,079 Speaker 1: just kidding, joking. But the reality is it's an unfair advantage. Now, 36 00:02:09,120 --> 00:02:14,120 Speaker 1: maybe if they want to create a separate category, I 37 00:02:14,160 --> 00:02:18,320 Speaker 1: guess they have male sports female sports, and then maybe 38 00:02:18,480 --> 00:02:22,919 Speaker 1: just have transports and let trans athletes compete against other 39 00:02:23,000 --> 00:02:26,240 Speaker 1: trans athletes and let them do it that way. But 40 00:02:26,320 --> 00:02:32,840 Speaker 1: don't you can't say biologically physically that it's an equal 41 00:02:32,880 --> 00:02:37,960 Speaker 1: playing field. If somebody is biologically born a man competing 42 00:02:38,280 --> 00:02:41,920 Speaker 1: and went through puberty as a man and is physically 43 00:02:42,040 --> 00:02:45,360 Speaker 1: stronger as a result of it that that is in 44 00:02:45,440 --> 00:02:49,720 Speaker 1: any way fair to women that play sports. Now, in 45 00:02:49,760 --> 00:02:53,280 Speaker 1: the case of Riley Gaines, here's a young woman that 46 00:02:53,400 --> 00:02:55,560 Speaker 1: since she was four years old. I'll have her tell 47 00:02:55,600 --> 00:02:57,400 Speaker 1: her story later on in the program today. 48 00:02:58,000 --> 00:02:58,639 Speaker 2: A girl that. 49 00:02:58,800 --> 00:03:04,160 Speaker 1: Since she was four years old swam and started training 50 00:03:04,240 --> 00:03:07,800 Speaker 1: hard at a very young age. And she devoted so 51 00:03:07,919 --> 00:03:10,280 Speaker 1: much of her life, eighteen years of her life to 52 00:03:10,400 --> 00:03:14,200 Speaker 1: her sport, and it brought her to the highest level 53 00:03:14,680 --> 00:03:18,520 Speaker 1: in college athletics in terms of swimming, probably the best 54 00:03:18,600 --> 00:03:23,440 Speaker 1: college swimmer in the history of college swimming. And here 55 00:03:23,560 --> 00:03:26,560 Speaker 1: she is now, she's daring to speak out for what 56 00:03:26,720 --> 00:03:31,200 Speaker 1: is fundamentally fair, and she, you know, in San Francisco 57 00:03:31,360 --> 00:03:34,240 Speaker 1: is booed. She had to be literally locked down for 58 00:03:34,360 --> 00:03:37,520 Speaker 1: three hours because of these activists that don't believe in 59 00:03:37,560 --> 00:03:40,880 Speaker 1: free speech out there in that beautiful free city of 60 00:03:40,920 --> 00:03:44,440 Speaker 1: San Francisco. I thought they believed in peace and harmony 61 00:03:44,520 --> 00:03:47,800 Speaker 1: and love and hate. Ashbury and whatever happened to those days. 62 00:03:49,040 --> 00:03:52,360 Speaker 1: Look at San Francisco now it's a mess. I mean, 63 00:03:52,360 --> 00:03:56,480 Speaker 1: it's unbelievable. And even you know, Silicon Valley tech companies, 64 00:03:56,520 --> 00:03:59,320 Speaker 1: they're packing up their bags and they're leaving California. Because 65 00:03:59,320 --> 00:04:01,720 Speaker 1: they can't take it anymore either, you know, you go. 66 00:04:02,600 --> 00:04:09,280 Speaker 1: We've actually sent Lawrence Jones to Nancy Pelosi's neighborhood. So 67 00:04:09,400 --> 00:04:12,320 Speaker 1: Nancy Pelosi, in one direction lives in a gated community. 68 00:04:12,800 --> 00:04:15,240 Speaker 1: You know, she's very wealthy, multimillion dollar home. 69 00:04:15,760 --> 00:04:19,599 Speaker 2: A mile in the other direction is where her offices are. 70 00:04:20,320 --> 00:04:26,000 Speaker 1: In the middle is like a hell hole, homeless encampment 71 00:04:26,920 --> 00:04:30,640 Speaker 1: where people literally are shooting up in the streets, defecating 72 00:04:30,680 --> 00:04:32,560 Speaker 1: in the streets, urinating in the streets. 73 00:04:32,920 --> 00:04:34,839 Speaker 2: Needles are all over the place. 74 00:04:35,960 --> 00:04:38,640 Speaker 1: Why hasn't Nancy Pelosi gone to her neighbors and say, 75 00:04:38,680 --> 00:04:42,320 Speaker 1: we're going to donate a million bucks. She's wealthy, and 76 00:04:42,360 --> 00:04:44,880 Speaker 1: we're asking everyone to give what they can, and we 77 00:04:44,920 --> 00:04:47,719 Speaker 1: want to build a shelter that provides a place for 78 00:04:47,760 --> 00:04:50,720 Speaker 1: people to go to the bathroom, maybe offer some type 79 00:04:50,720 --> 00:04:53,480 Speaker 1: of addiction counseling to people that need it, maybe a 80 00:04:53,480 --> 00:04:55,880 Speaker 1: warm meal or two a day, place where they can 81 00:04:55,920 --> 00:04:58,280 Speaker 1: take a shower. I mean, if they're going to let 82 00:04:58,320 --> 00:05:00,640 Speaker 1: them be there, why don't they try to help them? 83 00:05:01,240 --> 00:05:03,480 Speaker 1: And I've said it many times before, and it's true. 84 00:05:03,920 --> 00:05:08,279 Speaker 1: Liberals are only generous with other people's money. They're not 85 00:05:08,360 --> 00:05:11,520 Speaker 1: generous with their own money, they really had that compassion 86 00:05:11,560 --> 00:05:13,960 Speaker 1: that they claim they have. They claim they have a 87 00:05:14,000 --> 00:05:17,200 Speaker 1: monopoly of compassion for the poor people in this country. 88 00:05:17,560 --> 00:05:21,640 Speaker 2: They do not. They claim they have a monopoly of compassion, 89 00:05:21,720 --> 00:05:23,000 Speaker 2: but minorities they do not. 90 00:05:24,279 --> 00:05:27,719 Speaker 1: Anyway, So uh, we'll check in what Riley gains. She's 91 00:05:27,760 --> 00:05:30,640 Speaker 1: been very courageous in speaking out the way she has. 92 00:05:31,320 --> 00:05:34,000 Speaker 1: There are very few athletes willing to do it because 93 00:05:34,040 --> 00:05:37,320 Speaker 1: of look at what she's going through. I mean, they 94 00:05:37,360 --> 00:05:41,320 Speaker 1: attacked her in San Francisco just for giving her opinion 95 00:05:42,080 --> 00:05:46,240 Speaker 1: that biolog people born biologically males should not be competing 96 00:05:46,560 --> 00:05:50,960 Speaker 1: in women's sports. That's what it is. Anyway, we had 97 00:05:50,960 --> 00:05:54,440 Speaker 1: the trifecta. You're not gonna believe I got to play 98 00:05:54,440 --> 00:05:57,960 Speaker 1: all this for you. We are living in a country, 99 00:05:58,200 --> 00:06:00,640 Speaker 1: you know what. And at the end of Donald Trump's 100 00:06:00,720 --> 00:06:03,760 Speaker 1: rallies when he now plays that music and he starts 101 00:06:03,760 --> 00:06:06,320 Speaker 1: saying we are nation in decline, I think that's how 102 00:06:06,360 --> 00:06:10,400 Speaker 1: he usually starts it. Well, he's right, we are now 103 00:06:10,440 --> 00:06:14,880 Speaker 1: a nation in decline. If you look at the economy. 104 00:06:15,080 --> 00:06:17,680 Speaker 1: I have nothing but horrible news to share with you 105 00:06:17,720 --> 00:06:20,719 Speaker 1: today because there's no good news out there, you know. 106 00:06:20,800 --> 00:06:25,200 Speaker 1: For example, we needed the Ninth Circuit Court of Appeals 107 00:06:25,240 --> 00:06:30,600 Speaker 1: to overturn California's natural gas band. I mean, it's unbelievable. 108 00:06:30,680 --> 00:06:34,760 Speaker 1: Pessimism about the Biden economy. This was on CNBC is 109 00:06:34,800 --> 00:06:38,400 Speaker 1: now at an all time high. Sixty nine percent of 110 00:06:38,400 --> 00:06:41,520 Speaker 1: the public now hoolds negative views about the economy, both 111 00:06:41,560 --> 00:06:44,479 Speaker 1: now and in the future, the highest percentage in the 112 00:06:44,600 --> 00:06:49,440 Speaker 1: survey seventeen year history. Most Americans don't feel their wages 113 00:06:49,800 --> 00:06:52,760 Speaker 1: allowed them to keep up with inflation. Only five percent 114 00:06:52,880 --> 00:06:56,440 Speaker 1: say that their household income is growing faster than inflation. 115 00:06:57,000 --> 00:07:00,719 Speaker 1: Twenty six percent say it's keeping pace. Sixty seven percent 116 00:07:01,320 --> 00:07:05,040 Speaker 1: report that they're falling behind and because of Biden inflation, 117 00:07:05,680 --> 00:07:09,000 Speaker 1: large majorities of Americans are now saying they have to 118 00:07:09,080 --> 00:07:13,440 Speaker 1: alter their spending habits and their lifestyles. They're changing because 119 00:07:13,440 --> 00:07:16,920 Speaker 1: they can't afford to do things anymore. Thanks Joe, eighty 120 00:07:16,960 --> 00:07:20,080 Speaker 1: one percent of respondents say they're taking some action, such 121 00:07:20,080 --> 00:07:24,160 Speaker 1: as spending less on entertainment, they're traveling less, or using 122 00:07:24,200 --> 00:07:28,720 Speaker 1: savings to pay for purchases. Three quarters of people working 123 00:07:28,720 --> 00:07:32,240 Speaker 1: class Americans they are weighing in saying that they're cutting 124 00:07:32,240 --> 00:07:35,920 Speaker 1: back on entertainment, eating out to economize due to inplation. 125 00:07:36,520 --> 00:07:40,200 Speaker 1: That compares with fifty four percent of upper middle class Americans. 126 00:07:40,440 --> 00:07:43,680 Speaker 1: And that's a big number. Two because even though they're 127 00:07:43,760 --> 00:07:46,880 Speaker 1: upper middle class, you know, you would think they'd have 128 00:07:46,920 --> 00:07:51,760 Speaker 1: more discretionary funds available than not. They don't have it anymore. 129 00:07:52,160 --> 00:07:56,000 Speaker 1: Biden inflation per household is ten thousand dollars on average year. 130 00:07:56,880 --> 00:08:01,320 Speaker 1: Gas prices are about to skyrocket again because Opak after 131 00:08:01,320 --> 00:08:05,000 Speaker 1: they aligned with China and Russia and Iran, they have 132 00:08:05,080 --> 00:08:09,840 Speaker 1: now cut back one point three million barrels of oil 133 00:08:09,880 --> 00:08:13,560 Speaker 1: production a day. Eighty one percent of respondents say they've 134 00:08:13,640 --> 00:08:19,080 Speaker 1: taken some action, such as spending less on entertainment, traveling yes, less, 135 00:08:19,480 --> 00:08:21,600 Speaker 1: using savings to pay for purchases. 136 00:08:22,920 --> 00:08:24,240 Speaker 2: I mean, this is. 137 00:08:24,240 --> 00:08:28,840 Speaker 1: A dramatic shift for the American people. We can do better. 138 00:08:29,720 --> 00:08:32,640 Speaker 1: All of this is caused by Joe Biden's economic and 139 00:08:32,720 --> 00:08:36,280 Speaker 1: Joe Biden's energy policies. I mean, if you look at this, 140 00:08:36,520 --> 00:08:42,120 Speaker 1: sixty nine percent, it is a massive number. Ten thousand 141 00:08:42,200 --> 00:08:46,920 Speaker 1: dollars on average is what Biden inflation is costing Americans. 142 00:08:47,679 --> 00:08:51,200 Speaker 1: Two thirds of the country's living paycheck to paycheck, twenty 143 00:08:51,280 --> 00:08:54,439 Speaker 1: five percent of Americans can't afford to put enough food 144 00:08:54,520 --> 00:08:58,120 Speaker 1: on their table and survive. It's so bad. He has 145 00:08:58,200 --> 00:09:02,200 Speaker 1: put there's a who may this point? I forget of 146 00:09:02,240 --> 00:09:06,920 Speaker 1: the Wall Street Journal had on a guest, and I 147 00:09:06,960 --> 00:09:09,840 Speaker 1: forget the guy's name. I apologize for this, and he 148 00:09:09,920 --> 00:09:13,520 Speaker 1: actually said, you know, we was asked by market Watch, Bloomberg, 149 00:09:13,559 --> 00:09:17,520 Speaker 1: Wall Street Journal. He's putting out an urgent warning. According 150 00:09:17,559 --> 00:09:20,800 Speaker 1: to his research, Biden has now caused a new crisis 151 00:09:20,840 --> 00:09:24,959 Speaker 1: that could be bigger than the Black Monday collapse in 152 00:09:25,040 --> 00:09:27,520 Speaker 1: nineteen eighty seven, of the dot com crash in the 153 00:09:27,600 --> 00:09:30,719 Speaker 1: early two thousands, or the two thousand and eight financial 154 00:09:30,760 --> 00:09:36,280 Speaker 1: crisis combined. He's calling it Biden's forever recession, and that's 155 00:09:36,320 --> 00:09:41,520 Speaker 1: what's happening forever inflation too. He says, it's a new 156 00:09:41,559 --> 00:09:45,520 Speaker 1: economic disaster we've never seen before. It could devastate the 157 00:09:45,559 --> 00:09:50,240 Speaker 1: American economy, especially the financial markets, for the next ten years. 158 00:09:51,160 --> 00:09:53,840 Speaker 1: I mean, that's how bad this is. By the way, 159 00:09:53,840 --> 00:09:58,480 Speaker 1: the guy's name is Lewis Naviela. I can't pronounce it. 160 00:09:58,520 --> 00:10:00,880 Speaker 1: He gained notoriety for his earl warning is about the 161 00:10:00,880 --> 00:10:03,640 Speaker 1: two thousand dot com crash and the two thousand and 162 00:10:03,679 --> 00:10:07,120 Speaker 1: eight financial crash. He has a pretty good track record anyway. 163 00:10:07,120 --> 00:10:12,440 Speaker 1: He says, businesses are gonna fail, Retirement accounts will literally shrink. 164 00:10:13,840 --> 00:10:17,920 Speaker 1: The American dream of financial security will never become a 165 00:10:17,960 --> 00:10:21,560 Speaker 1: reality now for millions of Americans, he says. He says 166 00:10:21,600 --> 00:10:25,000 Speaker 1: there are critical moves that anyone can make to limit 167 00:10:25,040 --> 00:10:30,320 Speaker 1: the damage of this forever recession scenario that he's talking about. 168 00:10:30,960 --> 00:10:34,160 Speaker 1: And he published a brand new analysis explains everything you 169 00:10:34,240 --> 00:10:37,839 Speaker 1: need to know about it, and I you know, urgent 170 00:10:37,960 --> 00:10:40,680 Speaker 1: read it. We'll put it up on Hannity dot com 171 00:10:40,720 --> 00:10:42,360 Speaker 1: so you can, you know, take a look at it. 172 00:10:42,400 --> 00:10:46,000 Speaker 1: The Bank of America ceo says everything points to a 173 00:10:46,040 --> 00:10:50,640 Speaker 1: recession this year. Every smart person on Wall Street, the 174 00:10:50,679 --> 00:10:53,840 Speaker 1: most successful people on Wall Street, are all saying the 175 00:10:53,840 --> 00:10:57,640 Speaker 1: same thing. If you work on Wall Street and you're 176 00:10:57,720 --> 00:11:01,880 Speaker 1: Jamie Diamond and you run JP Morgan, or if you're 177 00:11:01,920 --> 00:11:06,720 Speaker 1: a CEO Bank of America, you're not a dope. You know, 178 00:11:06,840 --> 00:11:09,280 Speaker 1: maybe your politics don't agree with mine. That would make 179 00:11:09,320 --> 00:11:12,600 Speaker 1: you stupid, but you're not dumb. Maybe a little ignorant, 180 00:11:12,600 --> 00:11:13,240 Speaker 1: but not dumb. 181 00:11:14,160 --> 00:11:14,559 Speaker 2: Anyway. 182 00:11:14,640 --> 00:11:18,080 Speaker 1: More consumers are falling behind on payments. That was reported today. 183 00:11:19,280 --> 00:11:23,840 Speaker 1: Profits at Bank of America, JP Morgan, Chase, Walls, Fargo, 184 00:11:24,000 --> 00:11:28,000 Speaker 1: City Group. They did beat analyst forecasts as lending giants. 185 00:11:28,040 --> 00:11:31,560 Speaker 1: But you know what small banks are. We're hearing report 186 00:11:31,640 --> 00:11:34,640 Speaker 1: after a report that they're gonna just banking crisis is 187 00:11:34,679 --> 00:11:38,640 Speaker 1: gonna get far worse. I mean, that's why Americans are 188 00:11:38,679 --> 00:11:42,400 Speaker 1: not optimistic, you know. Now add on top of that 189 00:11:43,120 --> 00:11:45,760 Speaker 1: the narrative that I've now been pushing out there for 190 00:11:47,120 --> 00:11:49,720 Speaker 1: you know, the last couple of weeks, which is look 191 00:11:49,760 --> 00:11:53,040 Speaker 1: at China is on the March. Look at the number 192 00:11:53,120 --> 00:11:59,040 Speaker 1: of countries that want to end the American dollar being 193 00:11:59,080 --> 00:12:02,520 Speaker 1: the world's currents. See, they want that to go away. 194 00:12:03,400 --> 00:12:06,960 Speaker 1: They want America's currency to be replaced, the world currency 195 00:12:07,000 --> 00:12:09,720 Speaker 1: to be replaced, and not with the dollar. They don't 196 00:12:09,720 --> 00:12:14,440 Speaker 1: want to do. And look we see our allies jumping ship, Egypt, 197 00:12:14,480 --> 00:12:19,760 Speaker 1: Saudi Arabia, the UAE, you know, France, even with McCrone 198 00:12:19,880 --> 00:12:24,360 Speaker 1: siding with President Chi which was repulsive to me. Mortgage 199 00:12:24,360 --> 00:12:27,520 Speaker 1: demand from home buyers now dropped another ten percent. 200 00:12:27,720 --> 00:12:31,520 Speaker 2: Why because interest rates are so high? What did I say? 201 00:12:31,520 --> 00:12:33,200 Speaker 2: What happens so many months ago? 202 00:12:33,679 --> 00:12:36,200 Speaker 1: I said new home construction would stop, it'd come to 203 00:12:36,280 --> 00:12:39,959 Speaker 1: a screeching halt. I said sale of pre existing homes 204 00:12:40,160 --> 00:12:43,080 Speaker 1: would come to a screeching halt. And then I said, 205 00:12:43,080 --> 00:12:45,640 Speaker 1: the next thing that's gonna happen is home values will 206 00:12:45,640 --> 00:12:49,480 Speaker 1: now deteriorate. And why are people not willing to move 207 00:12:49,520 --> 00:12:52,600 Speaker 1: at this point? Well, who wants to trade a two 208 00:12:52,640 --> 00:12:56,120 Speaker 1: point seven percent thirty year fixed rate mortgage for a 209 00:12:56,200 --> 00:12:59,040 Speaker 1: seven or eight percent thirty year fixed rate mortgage. Nobody 210 00:12:59,080 --> 00:13:01,760 Speaker 1: with a brain whatever want to do that. And then 211 00:13:01,800 --> 00:13:05,320 Speaker 1: you've got the EPA jumping all over everything that we own, 212 00:13:05,400 --> 00:13:08,600 Speaker 1: from our stoves to our air conditioners and forcing us 213 00:13:08,640 --> 00:13:12,840 Speaker 1: to buy electric cars. We can't afford that either, and 214 00:13:12,880 --> 00:13:17,240 Speaker 1: then we're literally now dependent. We have more energy resources 215 00:13:17,520 --> 00:13:21,760 Speaker 1: than the Middle East combined, and because we have unilaterally 216 00:13:21,800 --> 00:13:25,440 Speaker 1: disarmed on the energy front, it is killing our economy. 217 00:13:25,840 --> 00:13:29,080 Speaker 1: Instead of being an energy rich nation, we're now an 218 00:13:29,200 --> 00:13:33,280 Speaker 1: energy poor nation dependent on countries that hate our guts. 219 00:13:33,600 --> 00:13:35,000 Speaker 2: And it's still whether they. 220 00:13:35,000 --> 00:13:38,079 Speaker 1: Want to admit it or not, the climate alarmist religious cult, 221 00:13:38,480 --> 00:13:42,480 Speaker 1: it is still the lifeblood of the world's economy. What part, 222 00:13:42,840 --> 00:13:47,400 Speaker 1: How can you be this dumb? And now we've got China, Russia, Iran, 223 00:13:47,920 --> 00:13:52,600 Speaker 1: Saudi Arabia, Syria soon to be North Korea guaranteed, they're 224 00:13:52,600 --> 00:13:55,840 Speaker 1: now in a new alignment. This is the new We're 225 00:13:55,880 --> 00:13:59,120 Speaker 1: reconfiguring the world order right before our eyes. There is 226 00:13:59,160 --> 00:14:03,280 Speaker 1: a new access of evil that is emerging because Joe 227 00:14:03,320 --> 00:14:07,439 Speaker 1: Biden has abdicated his role and America's role as the 228 00:14:07,559 --> 00:14:10,559 Speaker 1: leader of not only the free world, but the entire world. 229 00:14:10,880 --> 00:14:12,680 Speaker 1: This is We're all going to pay the price for 230 00:14:12,760 --> 00:14:15,880 Speaker 1: all of this. Mark my words. Eight hundred nine point one, 231 00:14:15,920 --> 00:14:17,199 Speaker 1: Seawan or number you want to be a part of 232 00:14:17,200 --> 00:14:23,080 Speaker 1: the program right as we roll along, Sean Hannity Show, 233 00:14:23,120 --> 00:14:25,480 Speaker 1: eight hundred nine point one, Sean, if you want to 234 00:14:25,480 --> 00:14:29,200 Speaker 1: be a part of the program. By the way, thoughts prayers, 235 00:14:29,200 --> 00:14:32,200 Speaker 1: you saw this parking lot collapse in New York yesterday? 236 00:14:32,280 --> 00:14:35,480 Speaker 2: I mean, how scary is that? Unbelievable? 237 00:14:36,680 --> 00:14:41,800 Speaker 1: Biden's environmental official praised the COVID lockdowns for giving people 238 00:14:41,840 --> 00:14:44,120 Speaker 1: a better quality of life? 239 00:14:44,360 --> 00:14:45,840 Speaker 2: Are you kidding me? Now? 240 00:14:45,920 --> 00:14:50,760 Speaker 1: We just got in our hands judicial Watch records Freedom 241 00:14:50,800 --> 00:14:53,640 Speaker 1: of Information Act records, five hundred and fifty two pages 242 00:14:53,680 --> 00:14:58,840 Speaker 1: of them. That shows and gives great specificity and detail 243 00:14:59,520 --> 00:15:03,000 Speaker 1: where the the NIH money being funneled through the Eco 244 00:15:03,080 --> 00:15:07,720 Speaker 1: Health Alliance, what it went towards at the Wuhan Virology Lab. 245 00:15:08,560 --> 00:15:10,120 Speaker 2: When I explain this to you. 246 00:15:10,280 --> 00:15:13,640 Speaker 1: All of you should be very, very angry, and I 247 00:15:13,720 --> 00:15:16,280 Speaker 1: want answers from a guy by the name of doctor 248 00:15:16,520 --> 00:15:20,640 Speaker 1: Anthony Fauci, because a lot of it happened under his watch, 249 00:15:21,240 --> 00:15:24,480 Speaker 1: and there's no way he didn't have full knowledge of 250 00:15:24,560 --> 00:15:28,000 Speaker 1: all of this. After reading this today, he needs to 251 00:15:28,000 --> 00:15:38,200 Speaker 1: be questioned and frankly, should be taken further. The one 252 00:15:38,280 --> 00:15:42,960 Speaker 1: thing you can always count on, Sean Hannity is back 253 00:15:43,200 --> 00:15:46,240 Speaker 1: on the radio, all right, twenty five to the top 254 00:15:46,240 --> 00:15:48,840 Speaker 1: of the hour, eight hundred and ninety four one Shawn 255 00:15:48,840 --> 00:15:52,080 Speaker 1: our number. We'll check in with Riley Gaines and Bill 256 00:15:52,080 --> 00:15:55,760 Speaker 1: O'Reilly later in the program. Today, I want to remind 257 00:15:55,760 --> 00:15:58,560 Speaker 1: you of My Pillow has their massive closeout sales happening 258 00:15:58,640 --> 00:16:05,080 Speaker 1: right now on their all Season my Slippers. Look, my 259 00:16:05,760 --> 00:16:09,200 Speaker 1: Pillow customers keep making my slippers the number one selling 260 00:16:09,200 --> 00:16:10,080 Speaker 1: my Pillow product. 261 00:16:10,080 --> 00:16:10,480 Speaker 2: That's it. 262 00:16:10,880 --> 00:16:12,320 Speaker 1: And I have a feeling you're gonna want to stock 263 00:16:12,400 --> 00:16:14,000 Speaker 1: up when you hear this offer, because right now, when 264 00:16:14,040 --> 00:16:16,520 Speaker 1: you go to my pillow dot com, you just click 265 00:16:16,600 --> 00:16:19,280 Speaker 1: on the Sean Hannity square and right now you get 266 00:16:19,280 --> 00:16:23,200 Speaker 1: there all season my Slippers for twenty five bucks now. 267 00:16:23,360 --> 00:16:25,720 Speaker 1: The regular price is one hundred and forty nine to 268 00:16:25,760 --> 00:16:28,160 Speaker 1: ninety eight. That means you save over one hundred and 269 00:16:28,200 --> 00:16:32,240 Speaker 1: twenty bucks. When you make this purchase, you're limited to 270 00:16:32,320 --> 00:16:35,560 Speaker 1: ten pairs of checkout my Slippers, you might recall has 271 00:16:35,600 --> 00:16:38,480 Speaker 1: their exclusive four level layer design that you're not gonna 272 00:16:38,520 --> 00:16:41,520 Speaker 1: find in any other slipper. The patented layers make the 273 00:16:41,560 --> 00:16:45,640 Speaker 1: slipper ultra comfortable, extremely durable. They help relieve stress on 274 00:16:45,680 --> 00:16:48,560 Speaker 1: your feet. You can wear them any place, anytime, anywhere. 275 00:16:48,720 --> 00:16:52,000 Speaker 1: They come in a ton of additional sizes, all new colors. 276 00:16:52,400 --> 00:16:57,240 Speaker 1: MyPillow dot Com, Sean Hannity Square, my pillow all season, 277 00:16:57,480 --> 00:16:58,200 Speaker 1: my slippers. 278 00:16:58,240 --> 00:16:59,000 Speaker 2: You're gonna love them. 279 00:16:59,120 --> 00:17:01,040 Speaker 1: Go to my pillow dot com, click on the Sean 280 00:17:01,080 --> 00:17:04,640 Speaker 1: Hannity Square or call eight hundred nine nine six zero 281 00:17:04,840 --> 00:17:07,320 Speaker 1: nine zero and just mention my name for this great deal. 282 00:17:07,400 --> 00:17:10,719 Speaker 1: All right now, I'm going to play for you the 283 00:17:10,760 --> 00:17:13,440 Speaker 1: stupidity of our government coming up in a minute here, 284 00:17:13,480 --> 00:17:16,040 Speaker 1: and then we'll tee that up for Bill O'Reilly in 285 00:17:16,080 --> 00:17:20,200 Speaker 1: the next hour. But I have in my hands a report. 286 00:17:20,240 --> 00:17:24,760 Speaker 1: We have it on Hannity dot com. Judicial Watch Now 287 00:17:25,320 --> 00:17:29,240 Speaker 1: has gotten five hundred and fifty two pages from the 288 00:17:29,440 --> 00:17:32,760 Speaker 1: US Department of Health and Human Services that include the 289 00:17:32,800 --> 00:17:38,920 Speaker 1: initial grant application and the annual reports to the NIH 290 00:17:39,000 --> 00:17:42,600 Speaker 1: from the Eco Health Alliance describing the aim of the 291 00:17:42,640 --> 00:17:45,320 Speaker 1: work that they were doing at the Wuhan Institute of 292 00:17:45,359 --> 00:17:50,000 Speaker 1: Virology in China to create quote, and I'm reading from 293 00:17:50,040 --> 00:17:57,359 Speaker 1: their paper here, mutant viruses to better predict the capability 294 00:17:57,960 --> 00:18:03,640 Speaker 1: of our coronaviruses to infect people. To better predict the 295 00:18:03,680 --> 00:18:09,320 Speaker 1: capacity of our coronaviruses to infect people. I don't even 296 00:18:09,400 --> 00:18:13,359 Speaker 1: like the way that reads, so it goes on. So 297 00:18:13,520 --> 00:18:16,160 Speaker 1: remember now I'm going to break it down year by year. 298 00:18:16,280 --> 00:18:19,879 Speaker 1: But these years are the Fauci years at the NIH. 299 00:18:20,160 --> 00:18:22,080 Speaker 1: Go back and see what year he actually started. So 300 00:18:22,119 --> 00:18:26,840 Speaker 1: I have that down pat Now Eco Health plan to sequence. 301 00:18:27,359 --> 00:18:33,240 Speaker 1: You've heard this before. The spike protein from coronaviruses obtained 302 00:18:33,280 --> 00:18:37,080 Speaker 1: from bats for the purpose of quote, creating mutants to 303 00:18:37,200 --> 00:18:43,120 Speaker 1: identify how significantly each would evolve to use ACE two, 304 00:18:43,400 --> 00:18:47,080 Speaker 1: which is explained as the receptor to gain entry into 305 00:18:47,160 --> 00:18:50,240 Speaker 1: human cells. I'm going slowly here because I want to 306 00:18:50,240 --> 00:18:53,760 Speaker 1: make sure everyone understands this now. Judicial Watch got the 307 00:18:53,880 --> 00:18:58,359 Speaker 1: records through the Freedom of Information Act request. They filed 308 00:18:58,400 --> 00:19:00,600 Speaker 1: this in December of twenty twenty one. It's taken a 309 00:19:00,640 --> 00:19:03,760 Speaker 1: while to get it, but we have it. And all 310 00:19:03,800 --> 00:19:07,439 Speaker 1: reports submitted by the Eco Health Alliance to the NIH 311 00:19:07,640 --> 00:19:13,080 Speaker 1: or their subagencies related to the NIH grant titled understanding 312 00:19:13,119 --> 00:19:17,520 Speaker 1: the risk of that coronavirus emergence during the term of 313 00:19:17,560 --> 00:19:21,879 Speaker 1: the grant. Now it starts at the beginning. It says 314 00:19:21,880 --> 00:19:26,280 Speaker 1: in the initial Application for Federal assistance, this was submitted 315 00:19:27,080 --> 00:19:30,679 Speaker 1: June fifth, twenty thirteen. When did Fauci started the NIH 316 00:19:30,880 --> 00:19:33,199 Speaker 1: nineteen eighty four and he was the head of the 317 00:19:33,280 --> 00:19:38,720 Speaker 1: NIH sector nineteen eighty four. Okay, so this covers Fauci's time. Now, 318 00:19:38,760 --> 00:19:44,359 Speaker 1: remember the original the initial application for federal assistance that 319 00:19:44,520 --> 00:19:46,880 Speaker 1: was submitted in June of twenty thirteen. 320 00:19:47,200 --> 00:19:48,240 Speaker 2: Let me remind you. 321 00:19:48,760 --> 00:19:52,600 Speaker 1: In twenty twelve, Fauci is quoted as saying he supported 322 00:19:52,680 --> 00:19:56,399 Speaker 1: gain of function research even if it would result in 323 00:19:56,480 --> 00:20:01,160 Speaker 1: a worldwide pandemic. That is critical to under standing why 324 00:20:01,240 --> 00:20:05,800 Speaker 1: this document now is critical? All right, So the initial 325 00:20:05,800 --> 00:20:08,960 Speaker 1: application for federal assistance that was submitted in June of 326 00:20:09,000 --> 00:20:13,080 Speaker 1: twenty thirteen by Eco Health Alliance. A section is titled 327 00:20:13,119 --> 00:20:17,960 Speaker 1: specific Aims, which notes the intention to create mutant bat 328 00:20:18,080 --> 00:20:25,399 Speaker 1: viruses and predict the capacity of our coronaviruses to infect people. 329 00:20:26,640 --> 00:20:29,800 Speaker 1: So that's what the initial grant is. To understand the 330 00:20:29,960 --> 00:20:34,800 Speaker 1: risk of what they call zoonotic. I don't know what 331 00:20:34,840 --> 00:20:41,200 Speaker 1: that means, do you no? Okay, coronaviruses emergence. We propose 332 00:20:41,320 --> 00:20:46,680 Speaker 1: to examine one the transmission dynamics of bat coronaviruses across 333 00:20:46,720 --> 00:20:51,520 Speaker 1: the human wildlife interface. Two, how this process is affected 334 00:20:51,520 --> 00:20:59,120 Speaker 1: by coronaviruses evolutionary potential and how it might force coronaviruses evolution. 335 00:20:59,760 --> 00:21:03,679 Speaker 1: Will assess the nature and the frequency of contact among 336 00:21:03,800 --> 00:21:08,359 Speaker 1: animals and people in two critical human animal interfaces. 337 00:21:09,840 --> 00:21:13,000 Speaker 2: That's zoonotic. You know what it means. What you just 338 00:21:13,040 --> 00:21:15,800 Speaker 2: said is diseases that can be spread between people and animals. 339 00:21:16,440 --> 00:21:20,400 Speaker 1: All right, So it says in two critical human animal interfaces, 340 00:21:20,400 --> 00:21:23,959 Speaker 1: live animal markets in China and people who are highly 341 00:21:24,000 --> 00:21:28,280 Speaker 1: exposed to bats in rural China. Specific aim number three 342 00:21:28,880 --> 00:21:35,879 Speaker 1: discuss the testing predictions for coronaviruses interspecies transmission. Now, this 343 00:21:36,040 --> 00:21:40,679 Speaker 1: is their initial ask here. Now we will test our 344 00:21:40,760 --> 00:21:44,840 Speaker 1: models and a whole host of ranges, and they will 345 00:21:44,840 --> 00:21:51,440 Speaker 1: say emergence potential experimentally using reverse genetics and that talks 346 00:21:51,480 --> 00:21:58,040 Speaker 1: about pseudo virus and receptor binding essays and virus infection 347 00:21:58,240 --> 00:22:02,320 Speaker 1: experiments in cell culture and humanized mice. Now, with bat 348 00:22:02,320 --> 00:22:07,320 Speaker 1: coronaviruses that were we've isolated and sequenced and using live 349 00:22:07,480 --> 00:22:13,320 Speaker 1: virus pseudovirus infection in cells of different origin or expressing 350 00:22:13,359 --> 00:22:18,240 Speaker 1: different receptor molecules, we will assess potential for each isolated 351 00:22:18,320 --> 00:22:23,280 Speaker 1: virus and those with receptor binding site sequence to spill over. 352 00:22:23,640 --> 00:22:28,000 Speaker 1: We will do this by sequencing the spike in other words, 353 00:22:28,320 --> 00:22:34,520 Speaker 1: receptor binding fusion protein genes from all of our Bat coronaviruses, 354 00:22:34,560 --> 00:22:39,040 Speaker 1: creating mutants that would be gain a function to identify 355 00:22:39,080 --> 00:22:43,359 Speaker 1: how significantly each would need to evolve to use ACE 356 00:22:43,400 --> 00:22:46,399 Speaker 1: two and all the different receptors that they list and 357 00:22:46,480 --> 00:22:51,359 Speaker 1: other potential covid or coronavirus receptors. Now, in continuing the 358 00:22:51,440 --> 00:22:55,760 Speaker 1: discussion the aims of the research, the report states in vitro, 359 00:22:56,280 --> 00:23:00,760 Speaker 1: in other words, outside of the body cell lines humanized model, 360 00:23:01,119 --> 00:23:05,439 Speaker 1: we have developed primary cell lines and transform cell lines 361 00:23:05,440 --> 00:23:10,680 Speaker 1: from nine bat species using Kidney's spleen, heart, brain, and intestines, 362 00:23:11,119 --> 00:23:15,119 Speaker 1: and we have used these for virus isolation, infection and 363 00:23:15,240 --> 00:23:20,280 Speaker 1: receptor molecule gene cloning. We also have a large number 364 00:23:20,280 --> 00:23:24,359 Speaker 1: of cell lines for humans, excuse me, from humans and 365 00:23:24,440 --> 00:23:29,040 Speaker 1: animals that we will use initially to infect his humanized 366 00:23:29,480 --> 00:23:33,159 Speaker 1: mouse model, and so on and so forth. It uses 367 00:23:33,200 --> 00:23:38,000 Speaker 1: the ACE two and sub subsequently to use other coronaviruses 368 00:23:38,040 --> 00:23:42,280 Speaker 1: we identify. The results will provide information about whether BAT 369 00:23:42,280 --> 00:23:47,720 Speaker 1: coronaviruses could use known bat and human ACE two, DPP 370 00:23:47,960 --> 00:23:52,879 Speaker 1: four or other coronavirus receptor to enter human cells and 371 00:23:52,960 --> 00:23:58,320 Speaker 1: allow us to determine critical receptor binding sites, viral host range, 372 00:23:58,680 --> 00:24:04,080 Speaker 1: and better predicted combat capacity of our coronaviruses to infect people. 373 00:24:05,440 --> 00:24:07,720 Speaker 2: This is all about coronaviruses. 374 00:24:08,400 --> 00:24:11,440 Speaker 1: I know it gets a little scientific, maybe a little complicated, 375 00:24:11,520 --> 00:24:16,600 Speaker 1: and I'm probably not the best person to deliver scientific news, 376 00:24:16,640 --> 00:24:20,399 Speaker 1: but is very clear what they're doing now. The Eco 377 00:24:20,440 --> 00:24:23,840 Speaker 1: Alliance got a three point three million dollar grant to 378 00:24:23,960 --> 00:24:29,760 Speaker 1: fund a project entitled Understanding the Risk of Coronavirus Emergence 379 00:24:30,400 --> 00:24:34,840 Speaker 1: that was originally from October twenty thirteen to September thirtieth, 380 00:24:34,880 --> 00:24:39,760 Speaker 1: twenty eighteen. The first project performance site location is the 381 00:24:39,800 --> 00:24:45,200 Speaker 1: Wuhan Institute of Virology. Three other Chinese sites follow East 382 00:24:45,320 --> 00:24:50,800 Speaker 1: China Normal University in Shanghai, Yunan Institute of Endemic Disease 383 00:24:50,840 --> 00:24:54,600 Speaker 1: Control and Prevention in Dali, and the Center for Disease 384 00:24:54,680 --> 00:24:58,679 Speaker 1: Control and Prevention in some other part of China that 385 00:24:58,760 --> 00:25:03,359 Speaker 1: I can't pronounce. On May twenty seventh, twenty fourteen, the 386 00:25:03,440 --> 00:25:07,840 Speaker 1: ANIH awarded the Eco Health Alliance three million, eighty six, 387 00:25:08,359 --> 00:25:12,040 Speaker 1: seven hundred and thirty five dollars for the understanding of 388 00:25:12,080 --> 00:25:15,040 Speaker 1: the risk of that coronavirus emergence. 389 00:25:15,880 --> 00:25:16,000 Speaker 2: Now. 390 00:25:16,160 --> 00:25:20,320 Speaker 1: An EcoHealth Alliance grant received by the NIHS on June fifth, 391 00:25:20,359 --> 00:25:25,119 Speaker 1: twenty thirteen, includes senior key personnel, by the way, including 392 00:25:25,240 --> 00:25:28,919 Speaker 1: and they mentioned people at the Wuhan Institute of Virology, 393 00:25:29,280 --> 00:25:34,119 Speaker 1: the Eco Health Alliance Chinese scientists. That's they're all listed 394 00:25:34,119 --> 00:25:38,200 Speaker 1: by name now. A section of the EcoHealth Alliance application 395 00:25:38,320 --> 00:25:43,159 Speaker 1: was entitled the Eco Alliance Budget Justification. It describes the 396 00:25:43,200 --> 00:25:46,680 Speaker 1: work to be done and conducted by EcoHealth Alliance scientists 397 00:25:46,680 --> 00:25:50,040 Speaker 1: in China. A research scientist will be hired at twelve 398 00:25:50,040 --> 00:25:54,800 Speaker 1: months time per year to provide direct assistance and oversight 399 00:25:54,840 --> 00:25:59,480 Speaker 1: of field activities in China, maintain equipment and logistics, coordinate 400 00:25:59,520 --> 00:26:03,879 Speaker 1: animal human sample shipments to the labs in China, and 401 00:26:04,160 --> 00:26:05,320 Speaker 1: to the United States. 402 00:26:05,880 --> 00:26:07,040 Speaker 2: See how deep this runs. 403 00:26:08,119 --> 00:26:12,960 Speaker 1: Once the institutional review boards for human sampling, we will 404 00:26:13,040 --> 00:26:19,200 Speaker 1: hire three medical officers from China's provincial CDC control as 405 00:26:19,280 --> 00:26:23,920 Speaker 1: consultants to work at these various facilities. These medical officers 406 00:26:23,960 --> 00:26:29,040 Speaker 1: will be responsible for approved human sampling as well as 407 00:26:29,119 --> 00:26:36,040 Speaker 1: maintaining coal chain and storage shipping samples. This has been 408 00:26:36,080 --> 00:26:40,840 Speaker 1: going on since twenty thirteen, the year after doctor Fauci 409 00:26:41,359 --> 00:26:45,159 Speaker 1: said he would support gain A function research even if 410 00:26:45,200 --> 00:26:48,520 Speaker 1: it resulted in a worldwide pandemic. All right, anyway, this 411 00:26:48,680 --> 00:26:52,320 Speaker 1: one doctor is going to oversee the coronavirus screening for 412 00:26:52,359 --> 00:26:55,200 Speaker 1: all samples in China, et cetera, et cetera. The budget 413 00:26:55,200 --> 00:26:58,720 Speaker 1: calculation for the year twenty fourteen fifteen, the grant was 414 00:26:58,760 --> 00:27:03,160 Speaker 1: allocated hundred and twenty eight thousand dollars, et cetera, et cetera. 415 00:27:03,720 --> 00:27:04,760 Speaker 2: Then a section of the. 416 00:27:04,680 --> 00:27:11,160 Speaker 1: Grant award titled Wuhan Institute of Virology Budget Justification subaward 417 00:27:11,960 --> 00:27:15,040 Speaker 1: discusses other direct costs, in other words, of getting other 418 00:27:15,040 --> 00:27:19,119 Speaker 1: ways to get money RNA extractions. We will be running 419 00:27:19,200 --> 00:27:23,879 Speaker 1: RNA extractions for one thousand bats per year in that 420 00:27:24,040 --> 00:27:27,840 Speaker 1: given year. DNA sequencing it goes on. In each year 421 00:27:27,880 --> 00:27:31,639 Speaker 1: of the project, DNA sequencing will perform thirty two hundred 422 00:27:31,680 --> 00:27:33,880 Speaker 1: samples at a cost of two dollars and ninety one 423 00:27:33,960 --> 00:27:37,359 Speaker 1: cents per reaction lab supplies. Then they put in the 424 00:27:37,400 --> 00:27:41,080 Speaker 1: type of lab supplies that they will have, including experiments 425 00:27:41,400 --> 00:27:45,840 Speaker 1: using pseudoviruses carrying the spike proteins, wild type or mutants, 426 00:27:46,200 --> 00:27:52,640 Speaker 1: or live viruses in sell lines or different origins, binding 427 00:27:52,680 --> 00:27:59,280 Speaker 1: affinity assays between the spike proteins and different cellular receptor molecules, 428 00:27:59,320 --> 00:28:03,600 Speaker 1: and humanized mouse experiments. Now the two year annual report 429 00:28:03,680 --> 00:28:11,160 Speaker 1: goes even further, testing predictions for coronaviruses interspecies transmission. In 430 00:28:11,200 --> 00:28:15,800 Speaker 1: that year, they will have humanized mice with human ace. 431 00:28:15,880 --> 00:28:20,439 Speaker 1: Two receptors will be infected in the lab and the 432 00:28:20,480 --> 00:28:27,720 Speaker 1: two rescued stars like coronaviruses to determine the tissue trophism 433 00:28:27,960 --> 00:28:32,760 Speaker 1: and pathology of the bat coronaviruses. And then it talks 434 00:28:32,800 --> 00:28:37,920 Speaker 1: about isolation of noble bat coronaviruses, et cetera, et cetera, 435 00:28:38,000 --> 00:28:41,840 Speaker 1: basically saying the same thing anyway, additional items they give 436 00:28:41,880 --> 00:28:44,600 Speaker 1: for year three, what they want, what they need, et cetera, 437 00:28:44,680 --> 00:28:50,040 Speaker 1: et cetera in year four. Their Annual Report budget period 438 00:28:50,760 --> 00:28:54,000 Speaker 1: June one, twenty eighteen to May thirty first, twenty nineteen, 439 00:28:54,480 --> 00:29:00,400 Speaker 1: submitted to the NIH by Eco Health Alliance on September sixteenth, 440 00:29:00,560 --> 00:29:04,280 Speaker 1: twenty twenty. In answer to the question how have the 441 00:29:04,360 --> 00:29:09,000 Speaker 1: results been disseminated to communities of interest? The report detailed 442 00:29:09,520 --> 00:29:14,200 Speaker 1: that the Wuhan Virology Lab director was brief of their findings, 443 00:29:14,240 --> 00:29:19,160 Speaker 1: among others, the Defense Advanced Research Projects Agencies, the National 444 00:29:19,360 --> 00:29:23,719 Speaker 1: Natural Science Foundation of China and Chinese Center for Disease 445 00:29:23,760 --> 00:29:27,400 Speaker 1: Control and Prevention, and the Chinese Academy of Sciences. So 446 00:29:27,440 --> 00:29:30,680 Speaker 1: we're giving them all the research on this. Among the 447 00:29:30,720 --> 00:29:36,360 Speaker 1: accomplishments that they listed, experimentation done in a whole organism 448 00:29:36,440 --> 00:29:40,600 Speaker 1: infection with SARS and COVID with variants and spike proteins 449 00:29:40,720 --> 00:29:45,640 Speaker 1: in human ACE two expressing mice. All of this was 450 00:29:45,680 --> 00:29:48,760 Speaker 1: done in the lab, All of it paid for by you. 451 00:29:49,840 --> 00:29:53,120 Speaker 1: Now I don't have time to get into any more now. 452 00:29:53,280 --> 00:29:57,480 Speaker 1: Judicial Watch also uncovered a substantial amount of information in 453 00:29:57,560 --> 00:30:04,880 Speaker 1: terms of HHS emails of then Director Francis Collins, showing 454 00:30:04,880 --> 00:30:09,680 Speaker 1: a British physicians groups recommended use of ivermectin to prevent 455 00:30:09,720 --> 00:30:14,600 Speaker 1: and treat COVID nineteen. That's interesting, heavily redacted HHS records 456 00:30:14,600 --> 00:30:17,800 Speaker 1: showing just two days prior to the FDA approval of 457 00:30:17,880 --> 00:30:22,840 Speaker 1: the Peiser vaccine, a discussion was held between the US 458 00:30:22,840 --> 00:30:27,600 Speaker 1: and UK health regulators regarding COVID shots, and with the regulators, 459 00:30:27,960 --> 00:30:31,160 Speaker 1: they've got all this from Maderna, the same thing. They 460 00:30:31,280 --> 00:30:35,240 Speaker 1: had heavily redacted reports from the FDA regarding the booster shots. 461 00:30:35,560 --> 00:30:41,040 Speaker 1: They got HHS records detailing internal discussions about myocarditis and 462 00:30:41,080 --> 00:30:45,240 Speaker 1: the COVID vaccine. And they uncovered HHS records detailing the 463 00:30:45,280 --> 00:30:50,120 Speaker 1: extensive media plan for a Biden administration propaganda campaign push 464 00:30:50,440 --> 00:30:55,000 Speaker 1: for the vaccine. And they revealed previously redacted locations of 465 00:30:55,040 --> 00:31:00,360 Speaker 1: COVID nineteen vaccine testing facilities in Shanghai, China. The FDA 466 00:31:00,440 --> 00:31:03,360 Speaker 1: to claimed the name and location of the testing facilities 467 00:31:03,600 --> 00:31:07,760 Speaker 1: were protected by the Confidential Commercial Information of the Freedom 468 00:31:07,840 --> 00:31:11,920 Speaker 1: of Information Act. NIH record showing an FBI inquiry into 469 00:31:11,920 --> 00:31:17,200 Speaker 1: the NIH's controversial coronavirus bat grand to the Wuhun Institute 470 00:31:17,200 --> 00:31:21,640 Speaker 1: of Rology. In other words, they knew. I'll give you 471 00:31:21,680 --> 00:31:24,720 Speaker 1: more details later tonight, but I am telling you they knew. 472 00:31:25,520 --> 00:31:29,000 Speaker 1: They knew all of it, and that means we were 473 00:31:29,040 --> 00:31:32,320 Speaker 1: lied to and this was all paid for with your 474 00:31:32,360 --> 00:31:33,120 Speaker 1: tax dollars. 475 00:31:33,600 --> 00:31:35,880 Speaker 2: I know it's not the most riveting hour of radio. 476 00:31:36,040 --> 00:31:40,680 Speaker 1: However, this is the most damning thing I've ever seen 477 00:31:40,720 --> 00:31:43,400 Speaker 1: in my life in terms of being lied to all 478 00:31:43,440 --> 00:31:49,080 Speaker 1: of us about everything regarding coronaviruses, gain a function, research 479 00:31:49,560 --> 00:31:53,840 Speaker 1: about the shots that they were given, the vaccines they 480 00:31:53,840 --> 00:31:56,240 Speaker 1: were given, and all the questions they had, and how 481 00:31:56,280 --> 00:31:57,440 Speaker 1: this all came into being. 482 00:31:57,840 --> 00:31:59,320 Speaker 2: It should outrage everybody. 483 00:31:59,680 --> 00:32:03,160 Speaker 1: Never listen to your government, and thank god we never 484 00:32:03,200 --> 00:32:05,160 Speaker 1: gave into the pressure to tell people what to do 485 00:32:05,200 --> 00:32:08,280 Speaker 1: with their bodies. All right, Inflation on the rise, talk 486 00:32:08,360 --> 00:32:12,400 Speaker 1: market volatile. Protecting your retirement savings, that's a challenge now 487 00:32:12,440 --> 00:32:15,240 Speaker 1: to whether today's economic uncertainty are friends at the Phoenix 488 00:32:15,280 --> 00:32:19,640 Speaker 1: Capital Group, they recommend diversification of your investments right now now. 489 00:32:19,680 --> 00:32:23,600 Speaker 1: They recommend high value US oil and gas investments with 490 00:32:23,720 --> 00:32:26,360 Speaker 1: a yield that ranges from eight percent to twelve percent 491 00:32:26,440 --> 00:32:29,640 Speaker 1: ap wide paid monthly, a better rate of return than 492 00:32:29,680 --> 00:32:33,880 Speaker 1: any bank or cd no middlemen. Both Regulation A plus 493 00:32:34,200 --> 00:32:37,560 Speaker 1: and by the way, regulation decorp bonded offerings with different 494 00:32:37,560 --> 00:32:40,880 Speaker 1: maturities qualifications rates and by the way, they have a 495 00:32:40,960 --> 00:32:43,560 Speaker 1: nine percent apy starting at five thousand dollars. 496 00:32:43,600 --> 00:32:44,360 Speaker 2: Now here's the deal. 497 00:32:44,880 --> 00:32:49,120 Speaker 1: Download the Phoenix Capital Group's free Investor Guide. Download it 498 00:32:49,160 --> 00:32:54,600 Speaker 1: at PHX Phxohannity dot com. Now, before you make any 499 00:32:54,640 --> 00:32:58,760 Speaker 1: investment decision, you got to consider and review all risks involved. 500 00:32:58,800 --> 00:33:01,920 Speaker 1: That means talking to your own financial advisor. But anyway, 501 00:33:02,000 --> 00:33:04,120 Speaker 1: check it out. You'll get their free investor Guide today 502 00:33:04,200 --> 00:33:15,479 Speaker 1: PHX on Hannity dot com. Sean Hannity on Hannity nine 503 00:33:15,560 --> 00:33:18,840 Speaker 1: Eastern when we come back, All things simple man Bill O'Reilly. 504 00:33:19,720 --> 00:33:22,320 Speaker 1: Later on in the program, Riley Gaines is going to 505 00:33:22,440 --> 00:33:25,520 Speaker 1: join us what they did to her when she was speaking. 506 00:33:25,920 --> 00:33:30,080 Speaker 1: She's speaking out against competing as a top swimmer, against 507 00:33:31,000 --> 00:33:34,240 Speaker 1: trans athletes, in other words, biological men that become women 508 00:33:34,360 --> 00:33:35,560 Speaker 1: competing in women's sports. 509 00:33:35,600 --> 00:33:36,120 Speaker 2: Straight ahead,