1 00:00:00,360 --> 00:00:03,160 Speaker 1: Welcome to his verdict with Senator Ted Cruz Ben Ferguson 2 00:00:03,240 --> 00:00:05,080 Speaker 1: with you is well, nice to have you with us, 3 00:00:05,120 --> 00:00:08,600 Speaker 1: and Senator I just want to know, have you ever 4 00:00:08,760 --> 00:00:12,560 Speaker 1: paid your dad forty nine thousand, nine hundred and ten 5 00:00:12,600 --> 00:00:15,480 Speaker 1: dollars in rent to live in his house at any 6 00:00:15,520 --> 00:00:17,360 Speaker 1: point in your life? I just think we should make 7 00:00:17,360 --> 00:00:19,640 Speaker 1: sure we get a good answer on this. I'd look 8 00:00:19,680 --> 00:00:22,360 Speaker 1: to be honest. I don't think I paid my dad 9 00:00:22,400 --> 00:00:24,480 Speaker 1: back the twenty bucks he lent me when I went 10 00:00:24,520 --> 00:00:27,800 Speaker 1: out as a fifteen year old, much less paying a 11 00:00:27,960 --> 00:00:30,960 Speaker 1: dollar of rent to either of my parents at any 12 00:00:30,960 --> 00:00:34,479 Speaker 1: point in my life. This story of Hunter Biden paying 13 00:00:34,479 --> 00:00:36,640 Speaker 1: this rent, and for people that don't know the story, 14 00:00:37,240 --> 00:00:41,080 Speaker 1: there is a document that apparently Hunter Biden filled out. 15 00:00:41,120 --> 00:00:43,440 Speaker 1: Marina Divine the Post she's also the author of Laptop 16 00:00:43,520 --> 00:00:46,600 Speaker 1: from Hell, put this out there. And now we're hearing 17 00:00:46,640 --> 00:00:50,040 Speaker 1: that the House Oversight Committee is going to probe investigating 18 00:00:50,040 --> 00:00:53,639 Speaker 1: these suspicious bank records concerning Hunter Biden's recorded forty nine 19 00:00:54,480 --> 00:00:56,920 Speaker 1: ten dollars in rent. The other thing that could be 20 00:00:56,960 --> 00:00:59,400 Speaker 1: a big problem for the president now is if you 21 00:00:59,440 --> 00:01:01,880 Speaker 1: look back his tax returns from the time when Hunter 22 00:01:01,920 --> 00:01:05,320 Speaker 1: Biden put this on official background check form for another 23 00:01:05,319 --> 00:01:09,839 Speaker 1: place and put the residence and put down his license number, 24 00:01:09,880 --> 00:01:13,880 Speaker 1: and everything was accurate on this piece of paper. Doesn't 25 00:01:13,920 --> 00:01:17,800 Speaker 1: match up with the President's tax returns of anybody paying 26 00:01:17,880 --> 00:01:20,880 Speaker 1: him forty nine thousand dollars a month for rent. That 27 00:01:20,920 --> 00:01:23,440 Speaker 1: could be a problem in so many different ways than 28 00:01:23,440 --> 00:01:26,880 Speaker 1: the president. Well, and let's explain this story because it 29 00:01:26,920 --> 00:01:30,680 Speaker 1: can be confusing and it's important to understand what happened. Look, 30 00:01:30,760 --> 00:01:34,360 Speaker 1: the punchline of this is that, based on what we 31 00:01:34,440 --> 00:01:38,119 Speaker 1: know now, there are two and I think only two possibilities. 32 00:01:38,160 --> 00:01:42,200 Speaker 1: One this is corruption or two this is dishonesty. Or 33 00:01:42,280 --> 00:01:44,399 Speaker 1: I suppose there's option three. It could be both, but 34 00:01:44,520 --> 00:01:47,720 Speaker 1: let's walk through what it is. So Hunter Biden filled 35 00:01:47,720 --> 00:01:51,760 Speaker 1: out a background screening request in California. He was applying 36 00:01:51,800 --> 00:01:54,760 Speaker 1: to get into a Sheshy residential area that he had 37 00:01:54,800 --> 00:01:57,880 Speaker 1: to fill out this background screening request. And I am 38 00:01:57,920 --> 00:02:01,480 Speaker 1: looking at it. I'm reading the background screening requests right now. 39 00:02:01,480 --> 00:02:07,760 Speaker 1: It's handwritten the name Robert Hunter Biden. It gives the 40 00:02:07,880 --> 00:02:13,680 Speaker 1: address it is his father's home in Wilmington, Delaware, and 41 00:02:14,600 --> 00:02:18,040 Speaker 1: it includes also his social Security number. It's blocked out, 42 00:02:18,160 --> 00:02:20,640 Speaker 1: but I'm told the last four digits that are not 43 00:02:20,720 --> 00:02:24,680 Speaker 1: blocked out are Hunter biden SoC security numbers. It also 44 00:02:24,720 --> 00:02:27,760 Speaker 1: includes his driver's license. Part of it's blocked out, but 45 00:02:27,800 --> 00:02:30,240 Speaker 1: I'm told the last three digits that are visible are 46 00:02:30,360 --> 00:02:33,880 Speaker 1: Hunter Biden's driver's license. All of this is handwritten, and 47 00:02:33,960 --> 00:02:39,119 Speaker 1: it says is current residence, and he indicates Number one, 48 00:02:39,200 --> 00:02:45,200 Speaker 1: it asks do you own lease or family friend? Now, 49 00:02:45,280 --> 00:02:49,040 Speaker 1: Hunter Biden indicates that he owns it. He does not 50 00:02:49,240 --> 00:02:52,720 Speaker 1: I believe in fact own the house that mom and 51 00:02:52,800 --> 00:02:55,360 Speaker 1: dad live in, but he claims he does. And by 52 00:02:55,400 --> 00:02:58,080 Speaker 1: the way, there's a box that says family friend. So 53 00:02:58,120 --> 00:03:00,440 Speaker 1: if he's saying I live with my dad, the obvious 54 00:03:00,480 --> 00:03:02,760 Speaker 1: box to check his family friend that it's my dad's house. 55 00:03:03,840 --> 00:03:07,920 Speaker 1: But he also puts there's a box that says monthly 56 00:03:08,360 --> 00:03:14,720 Speaker 1: rent and Hunter Biden handwrights forty nine thousand, nine hundred 57 00:03:14,760 --> 00:03:20,680 Speaker 1: and ten dollars. Now, this raises a gazillion questions all 58 00:03:20,720 --> 00:03:24,880 Speaker 1: at once. Number One, I think there is no reason 59 00:03:24,919 --> 00:03:28,960 Speaker 1: to doubt the accuracy of this document. If it were not, 60 00:03:29,080 --> 00:03:32,280 Speaker 1: in fact a real document handwritten by Hunter Biden, we 61 00:03:32,320 --> 00:03:34,400 Speaker 1: would expect the White House to be screaming that from 62 00:03:34,440 --> 00:03:37,520 Speaker 1: the Mountaintops. It has all the indisso on the face 63 00:03:37,560 --> 00:03:41,160 Speaker 1: of being something Hunter Biden filled out if it is 64 00:03:41,200 --> 00:03:43,720 Speaker 1: in fact accurate, and I don't believe they're going to 65 00:03:43,800 --> 00:03:45,800 Speaker 1: come back with an argument as a forgery. They're not 66 00:03:45,800 --> 00:03:52,440 Speaker 1: going to dispute that. Then he presumably was being dishonest 67 00:03:52,440 --> 00:03:55,040 Speaker 1: and lying when he said that Hunter Biden owns his 68 00:03:55,160 --> 00:04:00,120 Speaker 1: father's house, but he claimed that he was paying his 69 00:04:00,240 --> 00:04:03,600 Speaker 1: father forty nine, nine hundred and ten dollars a month. 70 00:04:03,680 --> 00:04:05,480 Speaker 1: Now let's stop for a second. I want to ask 71 00:04:05,520 --> 00:04:09,640 Speaker 1: folks listening to this pod, have you ever paid fifty 72 00:04:09,680 --> 00:04:14,000 Speaker 1: thousand dollars a month in rent for anything? I certainly haven't. Yeah, 73 00:04:14,000 --> 00:04:17,359 Speaker 1: I've played a few, paid a few thousand, but fifty 74 00:04:17,400 --> 00:04:20,880 Speaker 1: grand a month, and and the thing says monthly rent. 75 00:04:20,920 --> 00:04:23,680 Speaker 1: It doesn't say annual rent. It says monthly rent. And 76 00:04:25,880 --> 00:04:28,440 Speaker 1: that is an astonishing figure. And then I want I 77 00:04:28,480 --> 00:04:30,880 Speaker 1: want you to wratch it up a little more. Have 78 00:04:31,040 --> 00:04:35,039 Speaker 1: you ever paid it to your father? If it is 79 00:04:35,080 --> 00:04:39,440 Speaker 1: the case that Joe Biden was extracting fifty grand a 80 00:04:39,560 --> 00:04:45,000 Speaker 1: month from his son, if that is true, as you noted, 81 00:04:46,000 --> 00:04:49,000 Speaker 1: that has apparently not indicated on Joe Biden's tax return, 82 00:04:49,040 --> 00:04:52,440 Speaker 1: so it raises real issues of criminality potentially on Joe 83 00:04:52,480 --> 00:05:00,719 Speaker 1: Biden's side. But number two, we know that RSMA, the 84 00:05:00,800 --> 00:05:05,880 Speaker 1: Ukrainian natural gas company that had Hunter Biden on the board, 85 00:05:05,920 --> 00:05:08,440 Speaker 1: at one period, it appears that paid him fifty thousand 86 00:05:08,440 --> 00:05:11,160 Speaker 1: a month. At another period it appears it paid him 87 00:05:12,200 --> 00:05:14,480 Speaker 1: eighty three thousand a month when it was paying him 88 00:05:14,480 --> 00:05:18,480 Speaker 1: fifty thousand a month. You know what, forty nine thousand, 89 00:05:18,560 --> 00:05:20,680 Speaker 1: nine hundred and ten dollars is really really close to, 90 00:05:21,440 --> 00:05:24,000 Speaker 1: really close to exactly what he was making from the 91 00:05:24,040 --> 00:05:27,920 Speaker 1: board of Barisma monthly. You know, it really is striking 92 00:05:28,000 --> 00:05:31,920 Speaker 1: If it is the case that Barisma, the Ukrainian natural 93 00:05:31,960 --> 00:05:34,719 Speaker 1: gas company, cut a check to Hunter Biden for fifty 94 00:05:34,760 --> 00:05:37,400 Speaker 1: grand a month, and then Hunter turned around and cut 95 00:05:37,400 --> 00:05:40,200 Speaker 1: a check for forty nine thousand, nine hundred and ten 96 00:05:40,240 --> 00:05:45,679 Speaker 1: dollars to daddy. You gotta ask what kind of dad 97 00:05:46,720 --> 00:05:51,920 Speaker 1: lets his poor drug addict son keep ninety dollars of it? Yeah, 98 00:05:52,000 --> 00:05:55,000 Speaker 1: Like it's one thing, we all know the phrase ten 99 00:05:55,040 --> 00:05:56,920 Speaker 1: percent for the big guy. This is a lot more 100 00:05:56,960 --> 00:05:59,800 Speaker 1: than ten percent, but it's a great way if you're 101 00:06:00,000 --> 00:06:04,320 Speaker 1: wanting to funnel money, launder money. Uh, this is how 102 00:06:04,360 --> 00:06:07,320 Speaker 1: you would pull this off. And look, you and I 103 00:06:07,440 --> 00:06:09,799 Speaker 1: have both probably done this a lot in our careers 104 00:06:10,200 --> 00:06:12,280 Speaker 1: when you see something that you think is to be 105 00:06:12,320 --> 00:06:14,960 Speaker 1: clear funneled money, laundered money. No, no, I wouldn't say 106 00:06:14,960 --> 00:06:18,000 Speaker 1: a lot, a lot, right there you go. But we 107 00:06:18,160 --> 00:06:20,640 Speaker 1: when we hear stories like this that you want to go, 108 00:06:20,839 --> 00:06:24,240 Speaker 1: there's no way you. I always look, and you're a 109 00:06:24,320 --> 00:06:28,000 Speaker 1: lawyer first and foremost in your career, you probably said, 110 00:06:28,040 --> 00:06:30,600 Speaker 1: all right, we'll hold on a second. If it maybe 111 00:06:30,600 --> 00:06:32,480 Speaker 1: it was an accent and he meant to put annual 112 00:06:32,520 --> 00:06:35,000 Speaker 1: rent of forty nine thousand, Is that the number that 113 00:06:35,080 --> 00:06:38,440 Speaker 1: matches up with Joe Biden's tax return, and it was 114 00:06:38,480 --> 00:06:41,080 Speaker 1: an accident, right, because you could technically do that, it 115 00:06:41,120 --> 00:06:44,080 Speaker 1: could be an accident. That number still doesn't match up. 116 00:06:44,560 --> 00:06:47,520 Speaker 1: And that's where it gets very interesting for me. Center 117 00:06:47,640 --> 00:06:50,120 Speaker 1: is the fact that, look, it's not like he accidentally 118 00:06:50,160 --> 00:06:52,000 Speaker 1: put in the annual rent, because I could have believe 119 00:06:52,040 --> 00:06:54,719 Speaker 1: a forty nine ten for the year to Daddy for 120 00:06:54,800 --> 00:06:56,640 Speaker 1: delivering his thousand dell where and say, now I gotta 121 00:06:56,640 --> 00:06:59,000 Speaker 1: pay something. But so you go to you go to 122 00:06:59,040 --> 00:07:02,760 Speaker 1: Joe Biden's sector return and they were public and again, 123 00:07:02,960 --> 00:07:04,920 Speaker 1: so we have them when he was the vice president. 124 00:07:05,200 --> 00:07:07,840 Speaker 1: That number still doesn't match up and doesn't even come 125 00:07:07,880 --> 00:07:10,720 Speaker 1: close to the number they reported on his taxes, which 126 00:07:10,760 --> 00:07:13,280 Speaker 1: goes back to the issue of funneling money. If you 127 00:07:13,360 --> 00:07:15,800 Speaker 1: want to funnel money to your dad and you got 128 00:07:15,920 --> 00:07:18,400 Speaker 1: to give him some cash or your business dealings, this 129 00:07:18,440 --> 00:07:21,560 Speaker 1: would be a brilliant way of pulling this off well. 130 00:07:22,680 --> 00:07:24,880 Speaker 1: And this is where we just need more facts. I 131 00:07:24,920 --> 00:07:30,360 Speaker 1: don't want to jump to conclusions. The document, on its 132 00:07:30,400 --> 00:07:32,720 Speaker 1: face says this was the monthly rent, but there's a 133 00:07:32,800 --> 00:07:37,000 Speaker 1: weird coincidence, and that the number is exactly the same 134 00:07:37,920 --> 00:07:42,200 Speaker 1: as another document indicates was the deposit for an office 135 00:07:42,880 --> 00:07:47,160 Speaker 1: at a place called Swedenhouse forty nine, nine hundred and 136 00:07:47,160 --> 00:07:50,320 Speaker 1: ten dollars. That's a weird number. And the fact that 137 00:07:50,360 --> 00:07:54,080 Speaker 1: a one time deposit is the exact same number as 138 00:07:54,120 --> 00:07:58,320 Speaker 1: what Hunter Biden indicated was his monthly rent. It is possible. 139 00:07:58,360 --> 00:08:00,800 Speaker 1: So I'm going to give the most benign explanation this. 140 00:08:01,320 --> 00:08:03,800 Speaker 1: If the White House spendmeisters are looking for a store 141 00:08:03,840 --> 00:08:06,960 Speaker 1: to go with, this is probably the best one, which 142 00:08:07,040 --> 00:08:08,960 Speaker 1: is Hunter screwed up. He didn't know what he was doing. 143 00:08:10,200 --> 00:08:14,080 Speaker 1: The guy has serious substance abuse issues, So he filled 144 00:08:14,080 --> 00:08:16,440 Speaker 1: out a bunch of stuff and it's all nonsense and false. 145 00:08:16,480 --> 00:08:18,480 Speaker 1: And that might be true. I don't know if it 146 00:08:18,560 --> 00:08:22,360 Speaker 1: is or not. That's the most innocuous explanation because if 147 00:08:23,160 --> 00:08:25,640 Speaker 1: assuming this is a real document, and as I said, 148 00:08:25,640 --> 00:08:28,800 Speaker 1: the White House has not disputed that. If it is 149 00:08:28,840 --> 00:08:33,000 Speaker 1: the case that Hunter was paying mom and dad fifty 150 00:08:33,000 --> 00:08:36,880 Speaker 1: grand a month or just short of that to stay 151 00:08:36,920 --> 00:08:41,520 Speaker 1: in their house, that is corruption through and through. There's 152 00:08:41,520 --> 00:08:45,000 Speaker 1: no other explanation. Let's be clear. If fifty grand a 153 00:08:45,040 --> 00:08:51,880 Speaker 1: month went from Hunter to Joe Biden, in any operating 154 00:08:52,040 --> 00:08:56,880 Speaker 1: justice system, Joe Biden should be indicted. Well, right, And 155 00:08:57,120 --> 00:08:59,160 Speaker 1: why don't you say that again, because that's something I 156 00:08:59,200 --> 00:09:01,600 Speaker 1: don't believe that you've ever said before. And I want 157 00:09:01,600 --> 00:09:04,680 Speaker 1: to make sure that everybody understands why you're saying what 158 00:09:04,760 --> 00:09:09,720 Speaker 1: you just said. Okay, When Hunter Biden was on the 159 00:09:09,800 --> 00:09:13,880 Speaker 1: board of Barissma, Joe Biden was the sitting Vice President 160 00:09:13,920 --> 00:09:17,360 Speaker 1: of the United States. We've talked at great length on 161 00:09:17,400 --> 00:09:25,640 Speaker 1: this podcast about how Barissma took a drug using ne'er 162 00:09:25,679 --> 00:09:28,160 Speaker 1: do well, son of the Vice President, who spoke no 163 00:09:28,280 --> 00:09:30,600 Speaker 1: Ukrainian and knew nothing about natural gas, and put him 164 00:09:30,600 --> 00:09:32,559 Speaker 1: on the board and paid him at one point fifty 165 00:09:32,600 --> 00:09:35,240 Speaker 1: thousand a month, at another point eighty three thousand a month, 166 00:09:35,240 --> 00:09:39,079 Speaker 1: despite the fact that he had no useful skills other 167 00:09:39,160 --> 00:09:43,360 Speaker 1: than Daddy was vice president, didn't speak the language, and 168 00:09:43,400 --> 00:09:47,080 Speaker 1: didn't work in the industry. That screamed corruption on the 169 00:09:47,080 --> 00:09:50,880 Speaker 1: face of it. But this is the other piece that 170 00:09:51,040 --> 00:09:58,839 Speaker 1: makes it not just corrupt in the colloquial sense, but felonious. Look, 171 00:09:58,880 --> 00:10:04,160 Speaker 1: a bribe is when you pay a government official for 172 00:10:04,240 --> 00:10:06,920 Speaker 1: an official act. You know, you look at the old 173 00:10:06,960 --> 00:10:10,280 Speaker 1: old school style of putting fifty grand in a paper bag, 174 00:10:10,360 --> 00:10:13,720 Speaker 1: walking up to a government official and saying, here's fifty grand, 175 00:10:14,480 --> 00:10:16,960 Speaker 1: vote yes or no on the following thing. That's a bribe. 176 00:10:17,000 --> 00:10:19,920 Speaker 1: Remember abscam, Yeah, where they showed up with the briefcases 177 00:10:19,960 --> 00:10:23,800 Speaker 1: full of cash. In this case, you have a Ukrainian 178 00:10:24,920 --> 00:10:30,960 Speaker 1: company owned by a corrupt Ukrainian oligarch paying Hunter Biden 179 00:10:31,040 --> 00:10:33,840 Speaker 1: fifty grand a year. If he was turning around and 180 00:10:34,080 --> 00:10:38,280 Speaker 1: giving that directly to Daddy while Daddy was the sitting 181 00:10:38,360 --> 00:10:43,960 Speaker 1: vice president leading Obama's Ukraine policy. That is bribery, and 182 00:10:44,040 --> 00:10:47,360 Speaker 1: that is bribery that should come with real jail time. 183 00:10:47,440 --> 00:10:50,880 Speaker 1: Now we don't have all of those pieces, but we 184 00:10:51,000 --> 00:10:56,160 Speaker 1: have Hunter claiming he was giving his dad just under 185 00:10:56,200 --> 00:11:00,520 Speaker 1: fifty grand a year. If that is true, this the 186 00:11:00,720 --> 00:11:05,400 Speaker 1: evidence of Biden family corruption has jumped an order of 187 00:11:05,559 --> 00:11:08,400 Speaker 1: magnitude higher. All right, I want to get your take 188 00:11:08,400 --> 00:11:10,040 Speaker 1: on this center, but before we get to that, I 189 00:11:10,080 --> 00:11:11,600 Speaker 1: want to tell you about our good friends over at 190 00:11:11,640 --> 00:11:15,800 Speaker 1: Patriot Mobile. If you've got a cell phone, you need 191 00:11:15,840 --> 00:11:18,320 Speaker 1: to check out Patriot Mobile because every time you use 192 00:11:18,360 --> 00:11:21,520 Speaker 1: your phone, every time you send a text, and every 193 00:11:21,559 --> 00:11:25,800 Speaker 1: time you pay your bill, you will be supporting conservative 194 00:11:25,920 --> 00:11:29,560 Speaker 1: causes that we believe in. 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Well, you 212 00:12:38,160 --> 00:12:40,959 Speaker 1: look at the cash here, and I just want to 213 00:12:41,000 --> 00:12:43,120 Speaker 1: throw the numbers out there so people understand the basic 214 00:12:43,160 --> 00:12:47,319 Speaker 1: math here. If Hunter Biden's telling the truth, this would 215 00:12:47,320 --> 00:12:49,560 Speaker 1: a mean that he paid or as I would describe it, 216 00:12:49,640 --> 00:12:53,960 Speaker 1: funneled five hundred ninety four one hundred twenty dollars in 217 00:12:54,040 --> 00:12:57,120 Speaker 1: rent in the months after Biden departed his role as 218 00:12:57,120 --> 00:13:01,800 Speaker 1: the vice president and January of twenty seventeen. Also, when 219 00:13:01,880 --> 00:13:05,880 Speaker 1: it comes to these boxes in this document indicating he 220 00:13:05,960 --> 00:13:08,840 Speaker 1: owned the Delaware home where classified documents are being stored 221 00:13:08,880 --> 00:13:11,840 Speaker 1: at the time, that brings up center the other part 222 00:13:11,840 --> 00:13:14,439 Speaker 1: of the story here, and that creates a lot of 223 00:13:14,559 --> 00:13:16,640 Speaker 1: questions as that why was he paying rent at the 224 00:13:16,679 --> 00:13:20,800 Speaker 1: residence that he allegedly owned and he had access to 225 00:13:20,840 --> 00:13:24,880 Speaker 1: Apparently these classified documents based on what we know may 226 00:13:25,080 --> 00:13:27,840 Speaker 1: very well have dealt with Ukraine. That brings up the 227 00:13:27,880 --> 00:13:31,560 Speaker 1: special prosecutor aspect of this. And again to put it 228 00:13:31,600 --> 00:13:37,559 Speaker 1: back into perspective, President Joe Biden Center only listed nineteen thousand, 229 00:13:38,240 --> 00:13:43,800 Speaker 1: eight hundred dollars in rents rents plural received in twenty seventeen. 230 00:13:44,120 --> 00:13:47,520 Speaker 1: That is, according to his tax returns that year. The 231 00:13:47,559 --> 00:13:52,240 Speaker 1: president then listed no rents received in twenty eighteen, So 232 00:13:52,480 --> 00:13:55,880 Speaker 1: these are his tax returns. That's what he had out there, 233 00:13:56,280 --> 00:13:58,800 Speaker 1: Only that he got nineteen thousand, eight hundred rents received 234 00:13:58,800 --> 00:14:02,599 Speaker 1: in seventeen. His son claims he owns the house that 235 00:14:02,720 --> 00:14:06,120 Speaker 1: he's paying rent at and he would have had access 236 00:14:06,120 --> 00:14:09,360 Speaker 1: to the classified documents in the garage while he was 237 00:14:09,400 --> 00:14:11,400 Speaker 1: living there, while he was paying rent on the house. 238 00:14:11,400 --> 00:14:14,240 Speaker 1: He claims he owns. If there's anything that seems screwed 239 00:14:14,320 --> 00:14:16,920 Speaker 1: up but totally makes sense, it would be in the 240 00:14:17,000 --> 00:14:20,520 Speaker 1: Biden family based on now what we know, Well, you're right, 241 00:14:20,560 --> 00:14:23,480 Speaker 1: and you made an important clarification there that is worth noting. 242 00:14:23,560 --> 00:14:27,760 Speaker 1: On the face of this document it says current residence 243 00:14:27,800 --> 00:14:29,720 Speaker 1: and it gives a move in date and to move 244 00:14:29,760 --> 00:14:32,920 Speaker 1: out date, and the move in date it looks like 245 00:14:32,960 --> 00:14:36,240 Speaker 1: initially he wrote one twenty seventeen, and then it looks 246 00:14:36,240 --> 00:14:39,160 Speaker 1: like it's crossed out and turned to three twenty seventeen. 247 00:14:39,160 --> 00:14:43,080 Speaker 1: So let's assume it's March of twenty seventeen, and it 248 00:14:43,160 --> 00:14:47,120 Speaker 1: puts the move out date as February of twenty eighteen. 249 00:14:47,200 --> 00:14:50,480 Speaker 1: So on the face of this, these payments of monthly 250 00:14:50,560 --> 00:14:55,080 Speaker 1: rent started two months after Joe Biden stepped down as 251 00:14:55,200 --> 00:14:59,720 Speaker 1: vice president, so he wasn't technically being bribed as a 252 00:15:00,040 --> 00:15:03,840 Speaker 1: sitting vice president. But if it was the case that 253 00:15:03,880 --> 00:15:07,840 Speaker 1: he was being paid fifty grand a month, if this 254 00:15:07,960 --> 00:15:13,320 Speaker 1: was effectively money laundering from Ukrainian sources or elsewhere, then 255 00:15:13,760 --> 00:15:18,680 Speaker 1: it still raises a serious prospect. You can't bribe someone 256 00:15:18,760 --> 00:15:21,960 Speaker 1: after the fact, particularly if they had an expectation of 257 00:15:22,120 --> 00:15:27,320 Speaker 1: receiving that bribe. Now, what's confusing about this is that 258 00:15:28,360 --> 00:15:33,480 Speaker 1: this document has at the top it says current address, 259 00:15:33,560 --> 00:15:37,600 Speaker 1: and that's where he lists Joe Biden's home address, and 260 00:15:37,640 --> 00:15:40,760 Speaker 1: then it has below it it says current residence. Now 261 00:15:40,800 --> 00:15:42,720 Speaker 1: it's a strange document. I'm not sure what the difference 262 00:15:42,800 --> 00:15:47,240 Speaker 1: is between current address and current residence. And here Hunter 263 00:15:47,320 --> 00:15:51,440 Speaker 1: Biden has filled out something that says Owasco PC and 264 00:15:51,520 --> 00:15:55,040 Speaker 1: that's where he says it's forty nine, nine hundred and ten. 265 00:15:55,120 --> 00:15:59,360 Speaker 1: So it is possible there's some business address and that 266 00:15:59,440 --> 00:16:03,920 Speaker 1: money is not being paid to mom and dad. But 267 00:16:04,800 --> 00:16:09,240 Speaker 1: at the very minimum, a DOJ that gave a damn 268 00:16:09,240 --> 00:16:11,440 Speaker 1: and cared about the law would be investigating that and 269 00:16:11,480 --> 00:16:15,480 Speaker 1: figure out the answer to it. And even if the 270 00:16:15,520 --> 00:16:19,760 Speaker 1: Biden Department of Justice won't, I have every confidence that 271 00:16:19,800 --> 00:16:23,160 Speaker 1: the House of Representatives is going to investigate this thorough 272 00:16:23,680 --> 00:16:26,800 Speaker 1: how complicated? Senator, does this get from a standpoint off? 273 00:16:26,840 --> 00:16:30,320 Speaker 1: You have this investigation into Hunter Biden right in Delaware. 274 00:16:30,720 --> 00:16:34,080 Speaker 1: You don't have a special prosecutor involved, But now it's 275 00:16:34,120 --> 00:16:37,880 Speaker 1: clear that Hunter Biden is claiming that he had access 276 00:16:37,920 --> 00:16:41,720 Speaker 1: and was living at the residence where these classified documents, 277 00:16:41,800 --> 00:16:44,960 Speaker 1: where we do have a special prosecutor involved, was that 278 00:16:45,040 --> 00:16:48,040 Speaker 1: he would have access to this. That would also mean 279 00:16:48,080 --> 00:16:49,800 Speaker 1: that there would probably be a lot of the people 280 00:16:49,880 --> 00:16:53,479 Speaker 1: that he was around, based on his laptop, shady individuals 281 00:16:53,760 --> 00:16:56,480 Speaker 1: who we know from his own pictures and his own 282 00:16:56,560 --> 00:16:59,040 Speaker 1: laptop and his own book, that he was meeting with 283 00:16:59,040 --> 00:17:00,960 Speaker 1: the worst people in the world in the United States 284 00:17:01,000 --> 00:17:03,760 Speaker 1: of America. They were coming here there were Russianoagarks that 285 00:17:03,840 --> 00:17:06,840 Speaker 1: were coming to America. There were people and people that 286 00:17:06,880 --> 00:17:09,120 Speaker 1: worked with the Chinese Communist Party and people that worked 287 00:17:09,119 --> 00:17:12,600 Speaker 1: with the intelligence community within the Chinese Communist Party that 288 00:17:12,680 --> 00:17:15,359 Speaker 1: we're coming and meeting with him in America. We also 289 00:17:15,440 --> 00:17:17,520 Speaker 1: know that he was meeting with people from Ukraine and 290 00:17:17,600 --> 00:17:20,400 Speaker 1: leaders in Ukraine that we're meeting with him here in America. 291 00:17:20,520 --> 00:17:24,480 Speaker 1: Imagine having these top secret documents where you're hanging out 292 00:17:24,920 --> 00:17:29,080 Speaker 1: and dealing with substance abuse issues. How do you not 293 00:17:29,200 --> 00:17:32,000 Speaker 1: look at that if you're a special prosecutor And does 294 00:17:32,040 --> 00:17:36,040 Speaker 1: the Delaware investigation into Hunter Biden have the ability to 295 00:17:36,040 --> 00:17:38,000 Speaker 1: start asking and connecting some of these dots? Are they're 296 00:17:38,040 --> 00:17:40,680 Speaker 1: just going to stay separate the entire time? So look, 297 00:17:40,720 --> 00:17:43,960 Speaker 1: they certainly have the ability. And this is where the 298 00:17:44,320 --> 00:17:50,160 Speaker 1: Special Counsel investigation into Joe Biden potentially could expand as well. 299 00:17:50,200 --> 00:17:53,200 Speaker 1: And we talked talked about previously on this podcast, how 300 00:17:53,560 --> 00:17:56,960 Speaker 1: I'm concerned that the special Counsel was Rob Rosenstein's right 301 00:17:57,000 --> 00:18:00,760 Speaker 1: hand was a protege of Chris Ray and Merritt Garland 302 00:18:00,800 --> 00:18:03,520 Speaker 1: put him in because he wanted a special counsel who 303 00:18:03,520 --> 00:18:05,840 Speaker 1: would protect the White House. I hope that's not the case, 304 00:18:06,560 --> 00:18:11,200 Speaker 1: but that given the behavior of the Biden DOJ, there 305 00:18:11,280 --> 00:18:16,160 Speaker 1: is reason to be deeply suspicious. I will say, when 306 00:18:16,240 --> 00:18:21,240 Speaker 1: it comes to the Hunter Biden issues, what we've discussed 307 00:18:21,240 --> 00:18:24,800 Speaker 1: at great length, it's not an issue of concern public 308 00:18:24,840 --> 00:18:28,520 Speaker 1: concern that Hunter Biden is a troubled soul with substance 309 00:18:28,560 --> 00:18:31,280 Speaker 1: abuse issues. There are a great many people in the 310 00:18:31,359 --> 00:18:34,040 Speaker 1: United States and on planet Earth that struggle with those. 311 00:18:35,040 --> 00:18:38,359 Speaker 1: What makes this a public concern is the connection that 312 00:18:38,440 --> 00:18:42,320 Speaker 1: Hunter Biden, by all appearances, had a business of selling 313 00:18:42,359 --> 00:18:45,639 Speaker 1: access to Daddy as a high government official, and not 314 00:18:45,760 --> 00:18:49,560 Speaker 1: just access to Daddy to say some run of the 315 00:18:49,600 --> 00:18:53,320 Speaker 1: mill corporate lobbyists in Washington. That happens a lot in Washington, 316 00:18:53,840 --> 00:18:59,960 Speaker 1: but selling access to Daddy to foreign nations, corrupt foreign oligarchs, 317 00:19:00,040 --> 00:19:04,879 Speaker 1: whether in Ukraine or Communist China, and cashing out in 318 00:19:04,920 --> 00:19:09,560 Speaker 1: the seven figures, cashing out in massive amounts. And you know, Ben, 319 00:19:09,640 --> 00:19:12,879 Speaker 1: early on when we started Verdict, one of the things 320 00:19:12,880 --> 00:19:16,199 Speaker 1: we talked about was the payments from Barisma. And actually 321 00:19:16,240 --> 00:19:19,640 Speaker 1: I got a call from someone who was previously a 322 00:19:19,760 --> 00:19:22,199 Speaker 1: very very senior official in the federal government. I'm going 323 00:19:22,240 --> 00:19:26,359 Speaker 1: to keep him anonymous, but he had an insight, and 324 00:19:26,440 --> 00:19:30,840 Speaker 1: he's someone who's known Joe Biden forty plus years. He said, look, 325 00:19:31,880 --> 00:19:34,199 Speaker 1: even if not a penny of this money made it 326 00:19:34,240 --> 00:19:38,240 Speaker 1: to Joe Biden, when a parent has a ne'er do 327 00:19:38,400 --> 00:19:42,520 Speaker 1: well child who's an adult child who's had enormous challenges, 328 00:19:43,040 --> 00:19:46,560 Speaker 1: that can be enormously expensive to that parent having to 329 00:19:46,680 --> 00:19:49,560 Speaker 1: deal with all of the challenges that adult child has. 330 00:19:50,800 --> 00:19:55,160 Speaker 1: And so this this former senior government official said, it's 331 00:19:55,200 --> 00:19:57,520 Speaker 1: a massive benefit to Joe Biden to just take the 332 00:19:57,600 --> 00:20:01,400 Speaker 1: burden of Hunter Biden off his hands, say hey, we'll 333 00:20:01,440 --> 00:20:03,800 Speaker 1: give him an income stream so you, Joe don't have 334 00:20:03,840 --> 00:20:07,920 Speaker 1: to cover that. So that's an indirect way those millions 335 00:20:07,920 --> 00:20:12,639 Speaker 1: of dollars benefited Joe Biden. But if this application is accurate, 336 00:20:13,520 --> 00:20:16,680 Speaker 1: then we're not just dealing with an indirect benefit. We're 337 00:20:16,760 --> 00:20:21,600 Speaker 1: dealing with Hunter Biden basically becomes the bagman taking effectively 338 00:20:21,640 --> 00:20:28,080 Speaker 1: foreign money and delivering it to dad. This needs serious investigation. 339 00:20:28,359 --> 00:20:34,040 Speaker 1: And if we had a functioning press corps, every question 340 00:20:35,280 --> 00:20:37,720 Speaker 1: at the White House Press briefing tomorrow should be about this, 341 00:20:37,880 --> 00:20:39,960 Speaker 1: would be about it. It It wouldn't even be up for debate. 342 00:20:40,000 --> 00:20:42,880 Speaker 1: But they're deliberately protecting this White House at all costs. 343 00:20:44,359 --> 00:20:48,560 Speaker 1: They are the Praetorian Guard. They are the defenders and 344 00:20:48,600 --> 00:20:51,200 Speaker 1: the propagandists. And in fact, some of the early stories 345 00:20:51,200 --> 00:20:54,000 Speaker 1: on this are already you know, they begin with, you know, 346 00:20:54,080 --> 00:21:00,240 Speaker 1: Republicans pounce, that's their favorite thing. Look his own sons, 347 00:21:00,280 --> 00:21:02,040 Speaker 1: he's paying him fifty grand a month, or he was 348 00:21:02,040 --> 00:21:08,200 Speaker 1: paying him fifty grand a month like that. There are 349 00:21:08,240 --> 00:21:11,360 Speaker 1: two and only two options. That was a lie. And 350 00:21:11,359 --> 00:21:13,360 Speaker 1: we'll see if the White House goes there and says, oh, 351 00:21:13,440 --> 00:21:17,040 Speaker 1: that's our story. Hunter Biden was just lying, or if 352 00:21:17,080 --> 00:21:21,000 Speaker 1: he wasn't lying, that is corrupt. I believe there is 353 00:21:21,359 --> 00:21:28,880 Speaker 1: zero innocent explanation for Hunter Biden paying his father fifty 354 00:21:28,880 --> 00:21:32,160 Speaker 1: grand a month in quote unquote rent. So if those 355 00:21:32,200 --> 00:21:36,399 Speaker 1: payments happen, we're talking serious criminal activity. If they didn't, 356 00:21:36,720 --> 00:21:40,080 Speaker 1: if Hunter lied, we need to demonstrate that with clear 357 00:21:40,119 --> 00:21:42,800 Speaker 1: and real evidence. Well, it's exactly like you said earlier, 358 00:21:42,840 --> 00:21:45,320 Speaker 1: and James Comers said this on the House side quote. 359 00:21:45,320 --> 00:21:48,360 Speaker 1: Many questions must be answered about the Biden's family influence 360 00:21:48,400 --> 00:21:52,800 Speaker 1: peddling and President Biden's mishandling and classified documents for his 361 00:21:52,920 --> 00:21:55,800 Speaker 1: time as Vice president. And I think Comer said those 362 00:21:55,840 --> 00:21:59,440 Speaker 1: two things together on purpose, saying these two are interconnected. 363 00:21:59,480 --> 00:22:03,159 Speaker 1: Now you can't take them apart because the family members 364 00:22:03,160 --> 00:22:05,920 Speaker 1: were at the residence during the time these classified documents there. 365 00:22:05,920 --> 00:22:08,679 Speaker 1: And if you can connect these two, then Matt, we 366 00:22:08,800 --> 00:22:11,440 Speaker 1: might actually start to get some real answers here. Thank 367 00:22:11,440 --> 00:22:13,879 Speaker 1: goodness that we, as you've said many times, that the 368 00:22:13,960 --> 00:22:17,359 Speaker 1: Republicans got back control the House, because finally somebody's gonna 369 00:22:17,359 --> 00:22:18,919 Speaker 1: look at this. Lord knows, it's not going to be 370 00:22:18,960 --> 00:22:23,159 Speaker 1: the media. Which brings me, Senator to another amazing story 371 00:22:23,240 --> 00:22:27,120 Speaker 1: that's getting barely any attention, and that is that the 372 00:22:27,280 --> 00:22:34,199 Speaker 1: US has been overcounting COVID deaths. Before I play this 373 00:22:34,240 --> 00:22:36,879 Speaker 1: audio from CNN with doctor Wynn, who used to be 374 00:22:36,960 --> 00:22:40,359 Speaker 1: over at planned parenthood, that you know, the US been 375 00:22:40,359 --> 00:22:44,719 Speaker 1: overcounting COVID deaths and hospitalizations. Shocker there, I say it, sarcasticley, 376 00:22:44,760 --> 00:22:47,080 Speaker 1: Are you surprised at all by this? Because I was not. 377 00:22:47,280 --> 00:22:49,280 Speaker 1: It was like to me, I'm like, yep, of course 378 00:22:49,320 --> 00:22:51,840 Speaker 1: that's what they were doing. Yeah. No, look, I think 379 00:22:51,880 --> 00:22:53,760 Speaker 1: it's clearly right. But go ahead and play the audio 380 00:22:53,800 --> 00:22:56,960 Speaker 1: because the shocker is seeing CNN say this out loud. Yeah, 381 00:22:57,000 --> 00:22:59,600 Speaker 1: and and I'll set this up for everybody listening. This 382 00:22:59,680 --> 00:23:04,040 Speaker 1: is doctor Wynn admitting to Don Lemon and Poppy Harlowe 383 00:23:04,119 --> 00:23:06,440 Speaker 1: and whoever the other host is on their new new 384 00:23:06,480 --> 00:23:09,200 Speaker 1: morning show that no one watches. And I you got 385 00:23:09,200 --> 00:23:12,000 Speaker 1: to say, Ben, the fact that you worked at CNN 386 00:23:12,080 --> 00:23:15,280 Speaker 1: for years was just demonstrated by that, because I certainly 387 00:23:15,320 --> 00:23:17,320 Speaker 1: couldn't name who the people were she were talking to. 388 00:23:17,440 --> 00:23:19,719 Speaker 1: And I'm betting you're one of six people on planet 389 00:23:19,720 --> 00:23:21,920 Speaker 1: Earth that could. Yeah, I know, I got two three. 390 00:23:22,000 --> 00:23:24,400 Speaker 1: That's like, that's I mean, that's that's MVP all Star 391 00:23:24,480 --> 00:23:27,359 Speaker 1: status if you're if you're counting in sports books. But 392 00:23:27,359 --> 00:23:31,360 Speaker 1: but you listen to these this conversation, and you can 393 00:23:31,400 --> 00:23:35,040 Speaker 1: tell it's cringeworthy for all of them. Listen to Don 394 00:23:35,119 --> 00:23:38,320 Speaker 1: Lemon set up, and then listen to Doctor Wind's response 395 00:23:38,640 --> 00:23:42,760 Speaker 1: talk about her op ed. Doctor, thank you so much. Listen, 396 00:23:43,200 --> 00:23:45,399 Speaker 1: And I know that you don't want to and we 397 00:23:45,400 --> 00:23:48,080 Speaker 1: don't want to underplay the risk of COVID. After three years, 398 00:23:48,119 --> 00:23:50,760 Speaker 1: it is still a leading cause of death in this country. 399 00:23:51,160 --> 00:23:54,000 Speaker 1: The story I just read about the number of deaths increasing. 400 00:23:54,200 --> 00:23:57,439 Speaker 1: Can you explain end infections? Can you explain why you 401 00:23:57,480 --> 00:24:02,680 Speaker 1: believe COVID deaths are being overcounted. I think it's important 402 00:24:02,680 --> 00:24:05,359 Speaker 1: for us to be intellectually honest in this case, and 403 00:24:05,440 --> 00:24:09,760 Speaker 1: that includes recognizing that circumstances have changed. At the beginning 404 00:24:09,760 --> 00:24:12,440 Speaker 1: of the pandemic, we had a situation where there were 405 00:24:12,520 --> 00:24:16,560 Speaker 1: many people dying from COVID pneumonia, including healthy young people 406 00:24:16,600 --> 00:24:19,879 Speaker 1: were dying because of severe shortness of breath, difficulty breathing, 407 00:24:19,920 --> 00:24:22,880 Speaker 1: they were hospitalized because of it. Then, as a result 408 00:24:23,000 --> 00:24:25,960 Speaker 1: of vaccines and as a result of a lot of 409 00:24:25,960 --> 00:24:28,920 Speaker 1: people getting COVID and having some level of immunity to it, 410 00:24:29,240 --> 00:24:32,760 Speaker 1: we're seeing far fewer cases of that kind of severe 411 00:24:32,840 --> 00:24:37,359 Speaker 1: COVID and severe COVID pneumonias specifically, and yet hospitals are 412 00:24:37,400 --> 00:24:41,239 Speaker 1: still routinely testing everyone who's getting admitted for COVID, and 413 00:24:41,280 --> 00:24:44,720 Speaker 1: so we're seeing many people who are hospitalized with COVID, 414 00:24:45,040 --> 00:24:47,440 Speaker 1: and I think it's important to separate out who is 415 00:24:47,480 --> 00:24:50,480 Speaker 1: being hospitalized because of it, because there are a lot 416 00:24:50,480 --> 00:24:53,640 Speaker 1: of people who are still very concerned about their risk 417 00:24:53,680 --> 00:24:57,000 Speaker 1: from COVID, and we need to give them the most 418 00:24:57,080 --> 00:24:59,840 Speaker 1: accurate data possible so that they could better gauge their 419 00:25:00,800 --> 00:25:03,200 Speaker 1: There are people who are still not resuming enjoy dining 420 00:25:03,320 --> 00:25:05,680 Speaker 1: or going to the gym or socializing, and I think 421 00:25:05,680 --> 00:25:08,400 Speaker 1: we have to give them the most accurate reporting possible. 422 00:25:08,880 --> 00:25:12,320 Speaker 1: I mean, that's one hell of an answer. We're fearmongering 423 00:25:12,480 --> 00:25:16,760 Speaker 1: still yet then we're telling you that we're overcounting COVID 424 00:25:16,800 --> 00:25:22,400 Speaker 1: desks and overcounting hospitalizations, which means the death tracker before 425 00:25:22,480 --> 00:25:27,280 Speaker 1: the presidential election was all propaganda, so you wouldn't vote 426 00:25:27,320 --> 00:25:31,439 Speaker 1: for Donald Trump. Look that there are a number of 427 00:25:31,480 --> 00:25:34,359 Speaker 1: things that that scream out from that. Number one, what 428 00:25:34,520 --> 00:25:39,920 Speaker 1: she's saying is obviously and indisputably correct. Number two, it 429 00:25:40,000 --> 00:25:43,840 Speaker 1: was obviously and indisputably correct two years ago at the 430 00:25:43,880 --> 00:25:47,960 Speaker 1: height of the pandemic, when CNN was engaged in their 431 00:25:48,040 --> 00:25:52,000 Speaker 1: pandemic porn every minute of the day, screaming that we're 432 00:25:52,040 --> 00:25:55,000 Speaker 1: all going to die from this. It was true then, 433 00:25:55,320 --> 00:25:58,719 Speaker 1: and by the way, lots of people, including you, including me, 434 00:25:59,040 --> 00:26:04,000 Speaker 1: were making that point then. As I said on this podcast, 435 00:26:04,440 --> 00:26:06,320 Speaker 1: there was a meme I saw online that I thought 436 00:26:06,359 --> 00:26:12,040 Speaker 1: was particularly funny, which is woman eaten by great white 437 00:26:12,080 --> 00:26:17,680 Speaker 1: shark dies of COVID. It showed just how absurd it 438 00:26:17,880 --> 00:26:21,399 Speaker 1: was that every death you're at a car wreck COVID 439 00:26:21,520 --> 00:26:24,119 Speaker 1: killed you. You stub your toe and get an infected 440 00:26:24,920 --> 00:26:28,960 Speaker 1: ingrown toenail. COVID killed you. Whatever it was, they wanted 441 00:26:29,000 --> 00:26:32,080 Speaker 1: to blame it on COVID. You're ninety eight years old 442 00:26:32,119 --> 00:26:34,560 Speaker 1: and dying of old age and you've got COVID. COVID 443 00:26:34,640 --> 00:26:36,760 Speaker 1: killed you. Mind you that you presumably weren't going to 444 00:26:36,840 --> 00:26:39,720 Speaker 1: live forever. Otherwise it was COVID. Well, we had, I mean, 445 00:26:39,720 --> 00:26:42,360 Speaker 1: we had whistleblowers. We had I'll give you a great example. 446 00:26:42,359 --> 00:26:46,040 Speaker 1: In my hometown of Memphis is Saint you Children's Research 447 00:26:46,080 --> 00:26:49,680 Speaker 1: Hospital and Laban are two great children's hospitals, and they 448 00:26:49,840 --> 00:26:54,360 Speaker 1: categorized some kids that passed away as COVID deaths. When 449 00:26:54,400 --> 00:26:56,760 Speaker 1: the parents came out and said to the media, this 450 00:26:56,840 --> 00:27:01,520 Speaker 1: was too several years ago. Now, my child died of cancer, 451 00:27:02,440 --> 00:27:06,480 Speaker 1: did not die of COVID. We knew they were terminal, 452 00:27:07,200 --> 00:27:10,399 Speaker 1: and they died of the cancer that weakened their body. 453 00:27:10,840 --> 00:27:13,520 Speaker 1: And then they categorize their deaths COVID. And people are 454 00:27:13,560 --> 00:27:16,560 Speaker 1: asking questions, why are they doing this? Why are they 455 00:27:16,600 --> 00:27:19,040 Speaker 1: acting like even when a child's dying of cancer, which 456 00:27:19,080 --> 00:27:22,960 Speaker 1: is horrific enough, are you politicizing the reason for death 457 00:27:22,960 --> 00:27:24,919 Speaker 1: on their deaths, it is yep, We're gonna chalk that 458 00:27:24,920 --> 00:27:27,760 Speaker 1: one up to COVID as well. Well. One element of 459 00:27:27,760 --> 00:27:33,680 Speaker 1: it was that there were significant financial incentives to category 460 00:27:33,760 --> 00:27:38,080 Speaker 1: huge hospitalizations or deaths as coming from COVID, And so 461 00:27:39,280 --> 00:27:40,960 Speaker 1: I got to ask you the question I have to 462 00:27:40,960 --> 00:27:43,000 Speaker 1: ask you because everybody else listening right now is asking 463 00:27:43,040 --> 00:27:47,840 Speaker 1: the same thing. The financial incentive center. Was that money 464 00:27:47,880 --> 00:27:51,159 Speaker 1: being paid by the insurance companies or was that coming 465 00:27:51,200 --> 00:27:55,040 Speaker 1: through the government or both? Because was this a money 466 00:27:55,080 --> 00:27:59,359 Speaker 1: grab from for tax dollars by categorizing it as COVID 467 00:28:00,119 --> 00:28:03,679 Speaker 1: it was tax dollars. And to blame is both the 468 00:28:03,720 --> 00:28:09,720 Speaker 1: administration and Congress who in response to COVID. Look, when 469 00:28:10,200 --> 00:28:14,560 Speaker 1: the COVID pandemic began, it was reasonable to be concerned 470 00:28:14,560 --> 00:28:17,040 Speaker 1: and if you were very elderly, if you were very vulnerable, 471 00:28:17,040 --> 00:28:20,400 Speaker 1: if you had cancer, if your immune system was compromised, 472 00:28:21,000 --> 00:28:25,320 Speaker 1: that could be very dangerous. But what happened is the 473 00:28:25,400 --> 00:28:31,120 Speaker 1: media and the Democrats took what was a reasonable concern 474 00:28:31,880 --> 00:28:34,520 Speaker 1: for people that were very vulnerable and from the beginning, 475 00:28:34,520 --> 00:28:37,800 Speaker 1: we should have focused on protecting the very vulnerable, and 476 00:28:37,840 --> 00:28:42,000 Speaker 1: they used it as an excuse to restrict everybody else 477 00:28:42,040 --> 00:28:44,960 Speaker 1: to restrict young healthy people to go after kids. It 478 00:28:45,200 --> 00:28:48,800 Speaker 1: never made sense. If you were ninety eight years old 479 00:28:48,840 --> 00:28:53,120 Speaker 1: and had cancer immune issues, yes you should have been protected, 480 00:28:53,880 --> 00:28:56,760 Speaker 1: but they deliberately cooked the books. And the thing that 481 00:28:56,880 --> 00:29:02,760 Speaker 1: is so remarkable about CNN saying this is doctor Leanna Wynn. 482 00:29:03,800 --> 00:29:06,840 Speaker 1: She knew that then. It's not that these people are stupid. 483 00:29:06,880 --> 00:29:09,480 Speaker 1: They knew it then. But if you said it there 484 00:29:09,600 --> 00:29:11,960 Speaker 1: and she was just seen in medical analysts back then 485 00:29:12,120 --> 00:29:16,120 Speaker 1: making a killing, going on TV five times a day 486 00:29:16,480 --> 00:29:18,880 Speaker 1: telling you that you're going to kill grandma and die 487 00:29:19,000 --> 00:29:21,840 Speaker 1: if you don't get the vaccine which will protect you 488 00:29:21,880 --> 00:29:24,000 Speaker 1: from ever getting COVID, when they knew that was a lie. 489 00:29:24,320 --> 00:29:27,560 Speaker 1: And if you don't over saying what she just said 490 00:29:27,640 --> 00:29:31,720 Speaker 1: right now, CNN treated you as a crazy tinfoil hat 491 00:29:31,720 --> 00:29:36,720 Speaker 1: wearing COVID denier. If you made the obvious point that 492 00:29:36,800 --> 00:29:38,880 Speaker 1: someone killed it a car wreck that has COVID didn't 493 00:29:38,880 --> 00:29:41,800 Speaker 1: die from COVID, that that was treated as, oh, you 494 00:29:41,880 --> 00:29:45,080 Speaker 1: crazy people, you know, you know. And by the way, 495 00:29:45,120 --> 00:29:49,920 Speaker 1: that's the kind of thing Twitter was suppressing. Twitter was 496 00:29:50,040 --> 00:29:53,440 Speaker 1: deep platforming at the request of the federal government. This 497 00:29:53,480 --> 00:29:55,440 Speaker 1: is where the Twitter files comes into it. This is 498 00:29:55,480 --> 00:30:01,280 Speaker 1: all it was a propaganda effort from big tech, from 499 00:30:01,320 --> 00:30:06,320 Speaker 1: big government, from the Democrats, from the corrupt corporate media, 500 00:30:06,440 --> 00:30:10,760 Speaker 1: and the consequences have been utterly devastating for the country. 501 00:30:10,840 --> 00:30:13,760 Speaker 1: And I don't know how CNN can get up and say, hey, 502 00:30:13,800 --> 00:30:15,600 Speaker 1: you know, we've been lying to you for three years, 503 00:30:15,600 --> 00:30:17,719 Speaker 1: but now we're not. Hey, all's good. No one remembers 504 00:30:17,680 --> 00:30:22,040 Speaker 1: that it's easy because Don Lemon said, quote, let's bring 505 00:30:22,640 --> 00:30:26,560 Speaker 1: in doctor Wyn to talk about her op ed doctor, 506 00:30:26,680 --> 00:30:29,520 Speaker 1: thank you so much. I don't want to, you know, again, 507 00:30:29,600 --> 00:30:32,440 Speaker 1: we don't want to underplay the risk of COVID. After 508 00:30:32,480 --> 00:30:34,920 Speaker 1: three years, it's still a leading cause of death in 509 00:30:34,960 --> 00:30:36,800 Speaker 1: this country. We just got rid of the death counters 510 00:30:36,840 --> 00:30:39,680 Speaker 1: on TV because we like the guy who's the president now. 511 00:30:39,960 --> 00:30:43,280 Speaker 1: And then she says in her very first sentence, look, 512 00:30:43,320 --> 00:30:46,520 Speaker 1: I think it's important for us to be intellectually honest 513 00:30:46,600 --> 00:30:50,360 Speaker 1: in this case. And she says it was different before. 514 00:30:50,360 --> 00:30:54,480 Speaker 1: And you know what the difference was Donald Trump was president. There. Yes, 515 00:30:54,640 --> 00:30:56,680 Speaker 1: no matter how you died, it was because of COVID. 516 00:30:56,680 --> 00:30:59,000 Speaker 1: Even if you're still alive, you're probably gonna die because 517 00:30:59,000 --> 00:31:01,280 Speaker 1: of COVID. And the only answer there's elect Democrats, all right, 518 00:31:01,440 --> 00:31:03,360 Speaker 1: I wasn't going to play the center, but I have 519 00:31:03,480 --> 00:31:05,880 Speaker 1: to let you hear Don Lemon's follow up question, right 520 00:31:05,960 --> 00:31:09,360 Speaker 1: because you just said she just kind of said, you know, 521 00:31:09,480 --> 00:31:12,920 Speaker 1: everybody calmed down, but they still leading caused death is COVID. 522 00:31:13,440 --> 00:31:16,440 Speaker 1: Listen to the follow up question from Don Lemon carefully. 523 00:31:16,440 --> 00:31:18,120 Speaker 1: You're gonna love it. It's a quick follow You're not 524 00:31:18,160 --> 00:31:21,480 Speaker 1: suggesting that hospital stop checking people testing people for COVID 525 00:31:21,480 --> 00:31:24,960 Speaker 1: if they come in, that's right. I think that there's 526 00:31:24,960 --> 00:31:26,520 Speaker 1: a better way to do this. And actually one of 527 00:31:26,560 --> 00:31:29,000 Speaker 1: the people that I interviewed, Shira Duran, who is an 528 00:31:29,040 --> 00:31:32,920 Speaker 1: infectious disease physician and hospital epidemiologist at Tufts Medical Center. 529 00:31:33,240 --> 00:31:35,840 Speaker 1: She and her colleagues came up with a different measure room, 530 00:31:36,160 --> 00:31:39,920 Speaker 1: which is using dexamethasone. So dexamethasone is a steroid that's 531 00:31:40,040 --> 00:31:42,680 Speaker 1: used to treat cases of severe COVID, and she and 532 00:31:42,680 --> 00:31:46,680 Speaker 1: her colleagues found them in cases of hospitalizations that do 533 00:31:46,840 --> 00:31:51,520 Speaker 1: not involve dexamethasone, it's very unlikely that the primary cause 534 00:31:51,960 --> 00:31:54,160 Speaker 1: is COVID, and so the state of I mean, I 535 00:31:54,200 --> 00:31:56,720 Speaker 1: just have just out there. So she's actually saying the 536 00:31:56,800 --> 00:32:00,440 Speaker 1: COVID test at this point in the hospital should not 537 00:32:00,720 --> 00:32:03,760 Speaker 1: be used and it's pretty much worthless, and we should 538 00:32:03,760 --> 00:32:07,160 Speaker 1: actually use a drug if it is administered to people 539 00:32:07,200 --> 00:32:09,400 Speaker 1: as a way to count who actually died of COVID 540 00:32:09,800 --> 00:32:14,200 Speaker 1: or had severeness with COVID or with I see you 541 00:32:14,320 --> 00:32:17,480 Speaker 1: for COVID. Why didn't somebody say this a couple of 542 00:32:17,560 --> 00:32:21,120 Speaker 1: years ago, because CNN would have taken you off air, 543 00:32:21,280 --> 00:32:24,760 Speaker 1: they would have branded you a denier, they would have 544 00:32:24,920 --> 00:32:28,520 Speaker 1: treated you like a heretic. Social media would have banned you, 545 00:32:29,280 --> 00:32:32,920 Speaker 1: and it would be one thing if CNN is saying, Okay, 546 00:32:32,960 --> 00:32:36,800 Speaker 1: we were mistaken, we apologized, we thought we were right, 547 00:32:36,880 --> 00:32:39,720 Speaker 1: we were operating under limited information. But now we've learned 548 00:32:39,840 --> 00:32:42,120 Speaker 1: they don't admit any of that. There is no error. 549 00:32:42,160 --> 00:32:45,520 Speaker 1: There is no rear view mirror at CNN or MSNBC 550 00:32:45,720 --> 00:32:48,160 Speaker 1: or any of the other corrupt corporate media. They've been 551 00:32:48,240 --> 00:32:51,640 Speaker 1: lying to you forever and ever and ever, and now 552 00:32:51,760 --> 00:32:57,800 Speaker 1: they'll just shift and hope nobody remembers. And it's there 553 00:32:57,920 --> 00:33:02,280 Speaker 1: is a reason the American people have so much distrust 554 00:33:02,360 --> 00:33:06,920 Speaker 1: and institutions, and it's because today's institutions that used to 555 00:33:07,000 --> 00:33:12,360 Speaker 1: have some modicum of integrity are utterly broken, and they 556 00:33:12,360 --> 00:33:16,960 Speaker 1: are willing to lie, and they bear no responsibility. The 557 00:33:17,000 --> 00:33:20,160 Speaker 1: Washington Post and The New York Times one Pulitzer prizes 558 00:33:20,920 --> 00:33:25,840 Speaker 1: for reporting stories that were based on a fraud about 559 00:33:25,920 --> 00:33:29,480 Speaker 1: the alleged Trump Russia collusion, and they never took the 560 00:33:29,520 --> 00:33:31,440 Speaker 1: awards back by They never took the awards back, they 561 00:33:31,480 --> 00:33:36,080 Speaker 1: never apologized for it. There is no shame. CNN doesn't 562 00:33:36,160 --> 00:33:39,640 Speaker 1: feel a moment of shame airing this story, saying we 563 00:33:39,720 --> 00:33:42,920 Speaker 1: lie to you for two years. But this is CNN. Well, hey, 564 00:33:43,040 --> 00:33:45,440 Speaker 1: I will say this. I listen to this crap so 565 00:33:45,520 --> 00:33:48,200 Speaker 1: other people don't have to. And that's why I saved 566 00:33:48,280 --> 00:33:50,840 Speaker 1: some of the best for last, because there's many of 567 00:33:50,840 --> 00:33:52,880 Speaker 1: you that may be asked the same question I was asking, 568 00:33:52,920 --> 00:33:56,080 Speaker 1: which is okay when it deals with these hospitalizations for COVID, 569 00:33:56,160 --> 00:34:00,640 Speaker 1: My question is, right, how much have they been overstating COVID? 570 00:34:01,040 --> 00:34:04,200 Speaker 1: You're ready because she's going to give you a glimpse 571 00:34:04,200 --> 00:34:08,400 Speaker 1: into just how overstated COVID may be actually being counted 572 00:34:08,440 --> 00:34:12,279 Speaker 1: in hospitals. Here is her definition of it, and then 573 00:34:12,320 --> 00:34:14,560 Speaker 1: I want to get your reaction. That's a shoes. It's 574 00:34:14,560 --> 00:34:17,920 Speaker 1: actually turned to use this measure. So they're reporting both 575 00:34:18,040 --> 00:34:22,200 Speaker 1: the total hospitalizations with COVID as well as the total 576 00:34:22,239 --> 00:34:25,440 Speaker 1: hospitalizations with decks and methasone, which are the hospitalizations for 577 00:34:25,520 --> 00:34:28,640 Speaker 1: which COVID is the primary cause. And they found that 578 00:34:28,719 --> 00:34:32,840 Speaker 1: about thirty percent of the current hospitalizations are actually for 579 00:34:33,080 --> 00:34:37,799 Speaker 1: COVID as opposed to seventy percent with COVID. Can we 580 00:34:37,840 --> 00:34:42,839 Speaker 1: just stop there, Senator, She just told America obviously at 581 00:34:42,840 --> 00:34:44,839 Speaker 1: the very end of the interview, which should have been 582 00:34:44,880 --> 00:34:48,239 Speaker 1: the lead. Right, if you're being intellectually honest to quote her, 583 00:34:48,800 --> 00:34:50,840 Speaker 1: you would have come on TV and said, in a 584 00:34:51,040 --> 00:34:57,120 Speaker 1: shocking Massachusetts COVID tracking patients primarily hospitalized for COVID is 585 00:34:57,239 --> 00:35:01,080 Speaker 1: completely different than what the number of hospital pa with 586 00:35:01,440 --> 00:35:05,400 Speaker 1: coronavirus actually is in America. How big of a difference. 587 00:35:05,440 --> 00:35:09,280 Speaker 1: We're talking about seventy all the way down to thirty percent. 588 00:35:09,800 --> 00:35:12,040 Speaker 1: That's how wrong We've been getting it for three years. 589 00:35:12,280 --> 00:35:14,800 Speaker 1: And they waited till the very end to just slide 590 00:35:14,880 --> 00:35:17,160 Speaker 1: that in there for you, the real info in the 591 00:35:17,239 --> 00:35:20,400 Speaker 1: number you needed to hear. Yeah, Look, what she's admitting 592 00:35:20,640 --> 00:35:23,600 Speaker 1: is that for three years, the deaths have been wildly exaggerated. 593 00:35:23,880 --> 00:35:28,080 Speaker 1: For three years, the hospitalizations have been wildly exaggerated. It's 594 00:35:28,080 --> 00:35:30,600 Speaker 1: been deliberate. It's been done by government. It's been done 595 00:35:30,600 --> 00:35:33,839 Speaker 1: by doctor Fauci, It's been done by the corrupt corporate media. 596 00:35:33,880 --> 00:35:37,040 Speaker 1: It's been done by big Tech. It's been done to 597 00:35:37,200 --> 00:35:40,640 Speaker 1: the enormous profit of big Pharma, who is in bed 598 00:35:40,680 --> 00:35:44,520 Speaker 1: with everyone here. And it has been done with everyone 599 00:35:44,760 --> 00:35:47,120 Speaker 1: knowing they were lying to you. And part of the 600 00:35:47,160 --> 00:35:50,560 Speaker 1: way they get away lying to you. You may wonder 601 00:35:50,640 --> 00:35:55,720 Speaker 1: why is the Democrat Party and the corrupt corporate media 602 00:35:55,760 --> 00:35:59,120 Speaker 1: is so invested in censorship. Why do they hate Elon 603 00:35:59,200 --> 00:36:02,839 Speaker 1: Musk so much? Because if you are going to make 604 00:36:02,840 --> 00:36:05,520 Speaker 1: it a business model to lie to the American people, 605 00:36:06,160 --> 00:36:09,760 Speaker 1: the biggest threat to you is that someone will shine 606 00:36:10,520 --> 00:36:15,160 Speaker 1: sunlight and tell the truth. They knew they were lying, 607 00:36:15,880 --> 00:36:20,960 Speaker 1: and they know it today. It wasn't accidental, it was deliberate. Yeah. 608 00:36:21,000 --> 00:36:22,719 Speaker 1: And if you think, by the way that this is 609 00:36:22,760 --> 00:36:25,520 Speaker 1: just going to end, I'll end very quickly with this story. 610 00:36:26,080 --> 00:36:30,480 Speaker 1: The Eleventh Circuit of Appeals heard arguments over a federal 611 00:36:30,520 --> 00:36:34,480 Speaker 1: mass mandate on Tuesday. After a Florida federal judge struck 612 00:36:34,520 --> 00:36:38,320 Speaker 1: down a mass mandate for planes and other transportation last April, 613 00:36:38,719 --> 00:36:43,680 Speaker 1: the CDC quickly countered by requesting an appeal through the 614 00:36:43,719 --> 00:36:47,319 Speaker 1: Justice Department. That appealed your criticism from the US Travel Association, 615 00:36:47,400 --> 00:36:50,520 Speaker 1: which along with other industry groups have been pressuring the 616 00:36:50,560 --> 00:36:53,640 Speaker 1: Biden administration for months to end the mass mandate for travel. 617 00:36:54,000 --> 00:36:56,399 Speaker 1: We don't have the mass mandate for travel right now. 618 00:36:56,600 --> 00:36:58,520 Speaker 1: There's not a bunch of people that are dying because 619 00:36:58,520 --> 00:37:01,479 Speaker 1: of this. If we had got it wrong, it would 620 00:37:01,480 --> 00:37:04,480 Speaker 1: have clearly played out by now. Yet this administration is 621 00:37:04,520 --> 00:37:08,760 Speaker 1: still refusing to just say, okay, fine, let's walk away 622 00:37:08,760 --> 00:37:11,480 Speaker 1: from this. They still want to fight and still have 623 00:37:11,600 --> 00:37:13,359 Speaker 1: the power to tell you to put a mask on 624 00:37:13,440 --> 00:37:20,440 Speaker 1: while you're traveling. Look, no rational or sane person following 625 00:37:20,480 --> 00:37:26,319 Speaker 1: the evidence in science supports a mask mandate for airplanes 626 00:37:26,520 --> 00:37:28,520 Speaker 1: for everyone. Remember, these are the people that want forced 627 00:37:28,520 --> 00:37:30,480 Speaker 1: you to put your two year old children in masks 628 00:37:30,560 --> 00:37:33,560 Speaker 1: or threw families off planes because their two year old 629 00:37:33,920 --> 00:37:37,279 Speaker 1: was crying rather than be masked. It is indefensible. And 630 00:37:37,320 --> 00:37:39,319 Speaker 1: by the way, let me be clear, Number one, I'm 631 00:37:39,320 --> 00:37:41,680 Speaker 1: on planes every week. I spend a lot of time 632 00:37:41,680 --> 00:37:46,000 Speaker 1: on a lot of airplanes. Right now today, there are 633 00:37:46,080 --> 00:37:48,799 Speaker 1: fewer than twenty percent of the passengers wearing masks in 634 00:37:48,840 --> 00:37:51,440 Speaker 1: many instances it's ten percent or less. It varies on 635 00:37:51,480 --> 00:37:54,279 Speaker 1: if you're flying too some bright blue city, it may 636 00:37:54,280 --> 00:37:57,680 Speaker 1: get as high as twenty percent, but it's usually much 637 00:37:57,719 --> 00:38:05,000 Speaker 1: lower than that number. Two Democrats don't wear masks in 638 00:38:05,040 --> 00:38:08,800 Speaker 1: the Senate. Democrats don't wear masks. They don't wear masks 639 00:38:08,840 --> 00:38:11,400 Speaker 1: in big groups. They don't wear masks in small groups 640 00:38:12,400 --> 00:38:16,719 Speaker 1: only the most sort of Actually, when I walk through 641 00:38:16,760 --> 00:38:19,440 Speaker 1: airports that I see the people wearing masks unless someone 642 00:38:19,640 --> 00:38:22,560 Speaker 1: is is frail and ill. I understand someone if you're 643 00:38:22,560 --> 00:38:25,520 Speaker 1: taking your grandmother and she's you know, really frail and 644 00:38:25,600 --> 00:38:28,560 Speaker 1: you want a protector, that's reasonable. Or maybe someone has 645 00:38:28,560 --> 00:38:31,320 Speaker 1: a disease that makes them vulnerable that I'm all for. 646 00:38:31,600 --> 00:38:35,240 Speaker 1: Take steps protect yourself if you have a medical condition 647 00:38:35,320 --> 00:38:38,160 Speaker 1: that makes you vulnerable to all sorts of things, including 648 00:38:38,200 --> 00:38:43,160 Speaker 1: the colder flute. But when you see young, healthy people 649 00:38:43,200 --> 00:38:46,000 Speaker 1: wearing masks, when you see and you do sometimes see 650 00:38:46,040 --> 00:38:48,480 Speaker 1: now parents that put little kids in a mask, you 651 00:38:48,600 --> 00:38:51,560 Speaker 1: just wonder, Okay, what is it going through your head 652 00:38:52,200 --> 00:38:55,000 Speaker 1: that makes you want to do this to your children, 653 00:38:55,000 --> 00:38:58,120 Speaker 1: to your family? Are you Are you that scared? Do 654 00:38:58,200 --> 00:39:00,960 Speaker 1: you believe what the propaganda to so much? Are you 655 00:39:01,160 --> 00:39:06,120 Speaker 1: just so addicted to virtue signaling that it is your 656 00:39:06,440 --> 00:39:09,319 Speaker 1: It is like your gay pride flag. You got to 657 00:39:09,360 --> 00:39:14,080 Speaker 1: show that your virtue. But the amazing thing is, look, 658 00:39:15,080 --> 00:39:18,760 Speaker 1: when the federal court struck down the mask mandate on planes, 659 00:39:19,640 --> 00:39:21,920 Speaker 1: you and I both saw the videos that were taken 660 00:39:21,960 --> 00:39:26,160 Speaker 1: spontaneously in all sorts of people's phones, of passengers just 661 00:39:26,480 --> 00:39:32,840 Speaker 1: cheering aloud and pulling their masks off. And yet yesterday 662 00:39:33,440 --> 00:39:37,000 Speaker 1: the Biden administration was in the Federal Court of Appeals arguing, 663 00:39:37,440 --> 00:39:40,520 Speaker 1: we want the power to reimpose the mask mandate, we 664 00:39:40,719 --> 00:39:43,759 Speaker 1: want that, we don't want to give it up. At 665 00:39:43,760 --> 00:39:48,480 Speaker 1: the same time, Biden's trying to victory lap COVID is over. 666 00:39:49,480 --> 00:39:53,440 Speaker 1: So they want power. They want power to arbitrarily infringe 667 00:39:53,440 --> 00:39:57,960 Speaker 1: your life. And yet they want to claim to have 668 00:39:58,080 --> 00:40:01,480 Speaker 1: also solved the crisis. And it's part of why you're 669 00:40:01,560 --> 00:40:05,279 Speaker 1: seeing CNN acknowledge the deaths are exaggerated. Why because they 670 00:40:05,280 --> 00:40:08,040 Speaker 1: want the Democrats to get credit for it. Yeah. See, 671 00:40:07,920 --> 00:40:10,239 Speaker 1: yet you know the start and charge, and they want 672 00:40:10,280 --> 00:40:12,200 Speaker 1: to believe that they're the ones that somehow fixed all 673 00:40:12,239 --> 00:40:14,520 Speaker 1: your problems. And this is the biggest problem they're fixing 674 00:40:14,600 --> 00:40:17,400 Speaker 1: right now. And by the way. It's the same way 675 00:40:17,440 --> 00:40:20,400 Speaker 1: to get into a different topic. They cook the numbers 676 00:40:20,400 --> 00:40:23,080 Speaker 1: on global warming. So if you look at the numbers 677 00:40:23,080 --> 00:40:27,160 Speaker 1: on global warming, they adjust the temperatures from long ago down. 678 00:40:27,800 --> 00:40:31,120 Speaker 1: They adjust the temperatures from today up, and then they say, gosh, 679 00:40:31,160 --> 00:40:34,800 Speaker 1: look the temperatures we've adjusted up are higher than the 680 00:40:34,800 --> 00:40:38,000 Speaker 1: temperatures we adjusted down. Look at what's going on. When 681 00:40:38,040 --> 00:40:41,040 Speaker 1: you cook the books, you can get the results you want. 682 00:40:41,080 --> 00:40:44,560 Speaker 1: In this case, now they want to show that Biden, 683 00:40:44,680 --> 00:40:47,560 Speaker 1: the Democrats have cured COVID, and one of the best 684 00:40:47,600 --> 00:40:49,800 Speaker 1: ways to do it is, well, if we can magically 685 00:40:49,800 --> 00:40:54,640 Speaker 1: reduce hospitalizations by seventy percent by suddenly acknowledging what was 686 00:40:54,719 --> 00:40:59,080 Speaker 1: true three years ago, then voila through the power yep, 687 00:41:01,800 --> 00:41:05,600 Speaker 1: crooked book keeping. The Democrats have solved everything well. And 688 00:41:05,640 --> 00:41:07,719 Speaker 1: that scary part is one day when the government's going 689 00:41:07,760 --> 00:41:10,560 Speaker 1: to really ask a favor of the American people, that's 690 00:41:10,600 --> 00:41:12,640 Speaker 1: based in fact, no one's gonna want to listen to 691 00:41:12,680 --> 00:41:15,640 Speaker 1: them Center. As always, it's been a pleasure. If you're listening, 692 00:41:15,640 --> 00:41:18,480 Speaker 1: don't forget hit that subscribe or auto download button. We'll 693 00:41:18,520 --> 00:41:21,360 Speaker 1: have an audio and video podcast coming out on Friday, 694 00:41:21,600 --> 00:41:23,879 Speaker 1: so you can watch it on YouTube on Facebook as well. 695 00:41:24,320 --> 00:41:26,399 Speaker 1: Make sure you write a five star review and hit 696 00:41:26,480 --> 00:41:29,600 Speaker 1: that subscribe button. Share this podcast with your family and friends, 697 00:41:29,640 --> 00:41:31,000 Speaker 1: or if you just want to make a global friend 698 00:41:31,040 --> 00:41:33,279 Speaker 1: go crazy. It's a nice thing to send them and 699 00:41:33,360 --> 00:41:36,360 Speaker 1: we will see you all back here on Friday morning.