1 00:00:00,600 --> 00:00:03,400 Speaker 1: An hour two Sean Hannay Show, eight hundred and nine 2 00:00:03,480 --> 00:00:06,000 Speaker 1: four one Sean, if you want to be a part 3 00:00:06,000 --> 00:00:08,799 Speaker 1: of the program our interview for the full hour tonight 4 00:00:08,800 --> 00:00:12,800 Speaker 1: with President Donald J. Trump. We cover a ton of 5 00:00:12,960 --> 00:00:16,480 Speaker 1: ground and I think you're gonna find it pretty interesting. 6 00:00:17,079 --> 00:00:19,880 Speaker 1: You know, for the longest time we have been able 7 00:00:19,920 --> 00:00:24,680 Speaker 1: to highlight the fact that Joe Biden said, and we 8 00:00:24,800 --> 00:00:28,400 Speaker 1: now know lied, and when he said repeatedly during the campaign, 9 00:00:28,440 --> 00:00:30,880 Speaker 1: I've never once talked to my son Hunter or any 10 00:00:30,920 --> 00:00:35,199 Speaker 1: family member about their foreign business dealings. Well, now we 11 00:00:35,280 --> 00:00:38,280 Speaker 1: have emails that have emerged that show that Joe Biden 12 00:00:38,400 --> 00:00:44,400 Speaker 1: personally helped draft responses to Hunter Biden's controversial deals when 13 00:00:44,440 --> 00:00:47,000 Speaker 1: he was vice president, going back, for example, to twenty 14 00:00:47,040 --> 00:00:50,760 Speaker 1: fifteen is one example. Miranda Divine had a piece how 15 00:00:50,840 --> 00:00:55,000 Speaker 1: Hunter Biden had an FBI mole named one Eye, who 16 00:00:55,080 --> 00:00:58,640 Speaker 1: tipped off as Chinese business partners that they were under investigation. 17 00:00:58,720 --> 00:01:02,960 Speaker 1: According to in Israeli energy expert arrested in Cyprus last month, 18 00:01:03,040 --> 00:01:08,000 Speaker 1: House Oversight Committee is now investigating the explosive claims by 19 00:01:08,040 --> 00:01:12,360 Speaker 1: doctor Gal Laft, a former Israeli Defense Forces lieutenant colonel 20 00:01:12,440 --> 00:01:16,199 Speaker 1: with deep intelligence ties. In Washington and Beijing, who says 21 00:01:16,200 --> 00:01:19,160 Speaker 1: he was arrested to stop him from revealing what he 22 00:01:19,240 --> 00:01:22,240 Speaker 1: knows about the Biden family and FBI corruption. And this 23 00:01:22,400 --> 00:01:26,880 Speaker 1: is getting crazy. All of this started thanks to Peter Schweitzer, 24 00:01:27,080 --> 00:01:30,160 Speaker 1: and of course, you know he wrote Secret Empires and 25 00:01:30,280 --> 00:01:33,240 Speaker 1: a number of best selling books. He along with Eric Eggers, 26 00:01:33,319 --> 00:01:37,119 Speaker 1: join us now that both with the Government Accountability Institute. 27 00:01:37,440 --> 00:01:42,120 Speaker 1: They both host their own podcast called Drilled Down. Welcome 28 00:01:42,160 --> 00:01:45,920 Speaker 1: both of you back to the program, Peter Schweitzer. Looks 29 00:01:45,959 --> 00:01:48,240 Speaker 1: like everything that you were saying for years now is 30 00:01:48,760 --> 00:01:52,160 Speaker 1: turning out to be true, and you can begin to 31 00:01:52,200 --> 00:01:56,840 Speaker 1: see that the story of the Biden family syndicate is collapsing. 32 00:01:58,640 --> 00:02:01,320 Speaker 1: Ya your righte Sean. You know you and I were 33 00:02:01,360 --> 00:02:04,000 Speaker 1: the first ones to talk about this publicly back in 34 00:02:04,040 --> 00:02:08,240 Speaker 1: twenty eighteen, and the Biden position has shifted consistently. In 35 00:02:08,280 --> 00:02:12,760 Speaker 1: twenty eighteen, when we exposed the deals in China, the 36 00:02:12,800 --> 00:02:16,200 Speaker 1: Biden's denied that there were even any dealings in China. 37 00:02:16,720 --> 00:02:19,200 Speaker 1: Then when that proved to be a lie, they switched 38 00:02:19,200 --> 00:02:22,320 Speaker 1: to saying that, well, you know, Hunter didn't make any 39 00:02:22,400 --> 00:02:25,359 Speaker 1: money up from China, and then of course that proved 40 00:02:25,400 --> 00:02:27,240 Speaker 1: to be a lie, and then they shifted to Joe 41 00:02:27,280 --> 00:02:31,080 Speaker 1: didn't know anything about them, that of course is a lie. 42 00:02:31,280 --> 00:02:36,079 Speaker 1: And then the argument became that Joe didn't profit from it, 43 00:02:36,120 --> 00:02:38,880 Speaker 1: and it appears that that also is a lie. So 44 00:02:39,280 --> 00:02:41,520 Speaker 1: you know, the question is is why there's really any 45 00:02:41,560 --> 00:02:45,000 Speaker 1: credibility left. What you find, Sean is not only did 46 00:02:45,000 --> 00:02:47,120 Speaker 1: they get the money, not only did they get money 47 00:02:47,160 --> 00:02:52,040 Speaker 1: that they provided no discernible service for, they actually went 48 00:02:52,160 --> 00:02:58,639 Speaker 1: to serious effort to hide or obscure Joe's involving in it, 49 00:02:58,840 --> 00:03:02,400 Speaker 1: Joe's ability to make money in it, and that to me, 50 00:03:02,600 --> 00:03:05,240 Speaker 1: is in and of itself an admission of guilt. Tell me, 51 00:03:05,360 --> 00:03:08,720 Speaker 1: why go to the trouble to try to obscure Joe's 52 00:03:08,720 --> 00:03:11,840 Speaker 1: involvement in Joe's knowledge except for the fact that you 53 00:03:11,960 --> 00:03:14,200 Speaker 1: know that this is wrong and it puts your family 54 00:03:14,240 --> 00:03:17,640 Speaker 1: in a compromising situation. Eric, do you have anything to 55 00:03:17,720 --> 00:03:22,240 Speaker 1: add to that? I mean, and this goes far in deep, Oh, 56 00:03:22,280 --> 00:03:25,359 Speaker 1: it absolutely does. I mean, I think I can only 57 00:03:25,400 --> 00:03:27,480 Speaker 1: add that you're exactly right, and thank goodness for the 58 00:03:27,520 --> 00:03:29,640 Speaker 1: work that you and Peter Shorts have been doing since 59 00:03:29,680 --> 00:03:32,720 Speaker 1: twenty eighteen. But for people that don't know, because every 60 00:03:32,840 --> 00:03:36,760 Speaker 1: day there's another revelation about just how much they've lied 61 00:03:36,840 --> 00:03:39,240 Speaker 1: and just how much money the Bidens have made from 62 00:03:39,280 --> 00:03:43,200 Speaker 1: questionable sources. The reason why they're lying is because they're 63 00:03:43,240 --> 00:03:47,720 Speaker 1: taking money from military officials connected to spy apparatus with China. 64 00:03:47,840 --> 00:03:49,960 Speaker 1: I mean, that's the bottom line. Not only has Hunter 65 00:03:50,000 --> 00:03:53,360 Speaker 1: Biden been doing business with the Chinese government for almost 66 00:03:53,360 --> 00:03:56,640 Speaker 1: a decade. Now, what we exposed and what Peter and 67 00:03:56,640 --> 00:03:58,520 Speaker 1: the research team of g AI will we cover at 68 00:03:58,520 --> 00:04:01,400 Speaker 1: the drill down I've talked about is thirty one million 69 00:04:01,480 --> 00:04:06,360 Speaker 1: dollars in five separate transactions with officials between the Biden 70 00:04:06,480 --> 00:04:10,280 Speaker 1: family and Chinese military officials. I mean, so why would 71 00:04:10,280 --> 00:04:12,640 Speaker 1: they take efforts to try to obscure Joe Biden's role 72 00:04:12,720 --> 00:04:15,320 Speaker 1: that Because in what other scenario is it okay that 73 00:04:15,400 --> 00:04:17,840 Speaker 1: an American elect officials, the President of the United States, 74 00:04:17,880 --> 00:04:20,080 Speaker 1: and the family of the President of the United States 75 00:04:20,360 --> 00:04:23,040 Speaker 1: is making money off of our greatest national threat. It's 76 00:04:23,080 --> 00:04:25,480 Speaker 1: a scandal and thinking as people like you and Peter 77 00:04:25,560 --> 00:04:28,520 Speaker 1: have continued to uncover it. But that's what the emails 78 00:04:28,520 --> 00:04:32,040 Speaker 1: are so validated because they show the Biden team saying, Hey, 79 00:04:32,160 --> 00:04:34,480 Speaker 1: we don't want to have Joe's name on this memorye 80 00:04:34,520 --> 00:04:37,279 Speaker 1: of understanding with the University of Delaware. We need somebody 81 00:04:37,320 --> 00:04:40,480 Speaker 1: else's name. It'll help make one more step to keep 82 00:04:40,600 --> 00:04:46,240 Speaker 1: Justice Biden's scheme a secret. So back to Peter. In 83 00:04:46,279 --> 00:04:49,680 Speaker 1: your own podcast, you talked about how On March seventeenth, 84 00:04:49,800 --> 00:04:55,360 Speaker 1: the Househoversight Committee released a memorandum detailing bank records that 85 00:04:55,600 --> 00:05:01,720 Speaker 1: says they show multiple Biden family members received payments from 86 00:05:01,720 --> 00:05:06,000 Speaker 1: an account set up by John Robertson Rob Walker, a 87 00:05:06,080 --> 00:05:09,960 Speaker 1: Biden family associate, shortly after the account received a three 88 00:05:10,000 --> 00:05:14,880 Speaker 1: million dollar wire transfer from a Chinese company. My question is, 89 00:05:15,200 --> 00:05:18,320 Speaker 1: what is the total amount that we know for sure 90 00:05:18,800 --> 00:05:21,719 Speaker 1: and how much you know? At what point will James 91 00:05:21,760 --> 00:05:25,360 Speaker 1: Colemer and his investigation in the House Oversight Committee chair 92 00:05:25,880 --> 00:05:29,880 Speaker 1: as hou House Oversight Committee Chair, how much money are 93 00:05:29,920 --> 00:05:33,560 Speaker 1: we talking about the Biden family has been doing with 94 00:05:33,680 --> 00:05:36,760 Speaker 1: China and then Russia and then Ukraine. Let's just start 95 00:05:36,760 --> 00:05:40,360 Speaker 1: with those three questions. Well, in terms of China Sean, 96 00:05:40,480 --> 00:05:43,240 Speaker 1: we know for a fact, because we have the emails 97 00:05:43,279 --> 00:05:47,839 Speaker 1: and we have the wire transfers and the confirmation emails 98 00:05:47,839 --> 00:05:52,000 Speaker 1: that they received eleven million dollars from two Chinese officials 99 00:05:52,040 --> 00:05:55,520 Speaker 1: who were business partners with people at the highest levels 100 00:05:55,520 --> 00:06:01,039 Speaker 1: of Chinese intelligence. Then there is the one five billion 101 00:06:01,080 --> 00:06:05,400 Speaker 1: dollars private equity deal BHR where Hunter gets an ownership 102 00:06:05,480 --> 00:06:08,960 Speaker 1: stake in the management company. In that case, we don't 103 00:06:09,040 --> 00:06:13,040 Speaker 1: know the exact valuation of that ten percent, but a 104 00:06:13,240 --> 00:06:17,640 Speaker 1: University of Chicago business school professor said that based on 105 00:06:18,320 --> 00:06:22,159 Speaker 1: similar deals of funds the same size, that stake is 106 00:06:22,160 --> 00:06:26,320 Speaker 1: worth about twenty million dollars. So what we believe and 107 00:06:26,839 --> 00:06:29,599 Speaker 1: know for a fact is that tens of millions of 108 00:06:29,680 --> 00:06:33,960 Speaker 1: dollars were transferred to the Bidens from these Chinese entities. 109 00:06:33,960 --> 00:06:36,960 Speaker 1: And again, to underline what Eric said, and Sean you've 110 00:06:36,960 --> 00:06:39,520 Speaker 1: mentioned it as well, it's so important for people to 111 00:06:39,600 --> 00:06:43,919 Speaker 1: realize every single businessman that arranged a deal for the 112 00:06:43,960 --> 00:06:47,880 Speaker 1: Bidens in China is linked to Chinese intelligence, meaning they 113 00:06:47,920 --> 00:06:51,080 Speaker 1: are business partners or they are tied to the top 114 00:06:51,200 --> 00:06:54,520 Speaker 1: leadership of China spy agency. And that should just send 115 00:06:54,600 --> 00:06:59,120 Speaker 1: chills down everybody's spine if you look at the other entities. 116 00:06:59,480 --> 00:07:02,640 Speaker 1: We know in case of Ukraine, Hunter was getting a 117 00:07:02,720 --> 00:07:07,719 Speaker 1: million dollars a year for five years from Barisma. We 118 00:07:07,800 --> 00:07:10,760 Speaker 1: know he had no background in energy. We know that 119 00:07:10,840 --> 00:07:13,880 Speaker 1: his father when hundred got that deal. His father was 120 00:07:14,000 --> 00:07:17,840 Speaker 1: vice president, and he was in charge of USAID dollars 121 00:07:17,920 --> 00:07:21,720 Speaker 1: going to Ukraine. And in fact there was two hundred 122 00:07:21,720 --> 00:07:25,920 Speaker 1: and fifty million dollars that Joe Biden steered to the 123 00:07:26,080 --> 00:07:30,360 Speaker 1: energy sector, the natural gas energy sector of Ukraine, which 124 00:07:30,400 --> 00:07:34,840 Speaker 1: is of course where Barisma was operating, and in fact 125 00:07:34,840 --> 00:07:38,000 Speaker 1: Barisma got some of those funds. And then in the 126 00:07:38,080 --> 00:07:42,560 Speaker 1: third case Russia, again we don't exactly know. We know 127 00:07:42,600 --> 00:07:46,520 Speaker 1: there was a three point five million dollar cash transaction 128 00:07:47,080 --> 00:07:52,440 Speaker 1: from Eulena Batarina sending money to one of Hunter Biden's accounts. 129 00:07:52,640 --> 00:07:55,360 Speaker 1: By the way, this is the former first Lady of Moscow, 130 00:07:55,480 --> 00:07:59,120 Speaker 1: a Russian oligar. Correct, yeah, yes, exactly right, Sean. And 131 00:07:59,200 --> 00:08:01,880 Speaker 1: to add to that, by the way, in the Obama 132 00:08:01,960 --> 00:08:05,600 Speaker 1: State Department cables courtesy of Wiki Leaks, we know that 133 00:08:05,640 --> 00:08:09,880 Speaker 1: the Obama State Department linked her to Russian organized crime. 134 00:08:10,360 --> 00:08:12,280 Speaker 1: So you have the three and a half million dollars. 135 00:08:12,280 --> 00:08:15,520 Speaker 1: But this is very important. In the corporate records for 136 00:08:15,600 --> 00:08:19,920 Speaker 1: one of Hunter's businesses, the claim is made. The company 137 00:08:20,000 --> 00:08:22,840 Speaker 1: was named Burnham. The claim was made in the corporate 138 00:08:22,880 --> 00:08:26,000 Speaker 1: minutes that she had given them some two hundred and 139 00:08:26,000 --> 00:08:31,560 Speaker 1: fifty million dollars of her money to manage for various investments. 140 00:08:31,560 --> 00:08:34,640 Speaker 1: So we don't know if they were lying in those 141 00:08:34,640 --> 00:08:37,400 Speaker 1: corporate records. We don't know where that money is, but 142 00:08:37,520 --> 00:08:39,959 Speaker 1: that three and a half million dollars could certainly be higher. 143 00:08:40,360 --> 00:08:43,440 Speaker 1: And my great hope with Comber's committee is that they 144 00:08:43,440 --> 00:08:46,760 Speaker 1: are going to be able to pinpoint all the foreign 145 00:08:46,800 --> 00:08:50,679 Speaker 1: money that was flowing to the Biden family, because we 146 00:08:50,800 --> 00:08:54,840 Speaker 1: as Americans need to know who took this family from 147 00:08:55,040 --> 00:09:00,480 Speaker 1: essentially being broke to becoming wealthy courtesy of these kinds 148 00:09:00,520 --> 00:09:04,520 Speaker 1: of deals. Quick break more with Peter Schweitzer and Eric 149 00:09:04,559 --> 00:09:08,160 Speaker 1: Eggers of the Government Accountability Institute. We'll get to that, 150 00:09:08,200 --> 00:09:10,240 Speaker 1: we'll get to your calls coming up as well. Here 151 00:09:10,280 --> 00:09:12,800 Speaker 1: we go again. You see the state of the economy. 152 00:09:12,880 --> 00:09:16,560 Speaker 1: Banks are failing, banks are being bailed out. Biden is 153 00:09:16,600 --> 00:09:19,600 Speaker 1: telling us, don't worry, everything's okay. Yelling is saying there 154 00:09:19,640 --> 00:09:22,960 Speaker 1: might be more bank bailouts, and I'm like, great, we're 155 00:09:23,040 --> 00:09:27,800 Speaker 1: bailing out billionaires and millionaires out in Silicon Valley. Look, 156 00:09:28,440 --> 00:09:31,640 Speaker 1: I don't trust what Biden is saying. That's why I've 157 00:09:31,640 --> 00:09:35,600 Speaker 1: always believed in a diversified portfolio. Gold has always been 158 00:09:35,720 --> 00:09:39,640 Speaker 1: part of my portfolio. I have it to this day. 159 00:09:39,800 --> 00:09:42,800 Speaker 1: I've had it from most of my adult life. When 160 00:09:42,800 --> 00:09:46,240 Speaker 1: I started saving any money, I put a certain percentage aside, 161 00:09:46,800 --> 00:09:50,480 Speaker 1: and I have a collected gold and yes it's in 162 00:09:50,760 --> 00:09:53,640 Speaker 1: a safe deposit box that I can get to whenever 163 00:09:53,640 --> 00:09:56,559 Speaker 1: I want. But anyway, it's critical and our friends at 164 00:09:56,559 --> 00:09:59,679 Speaker 1: gold Cooke they can help you learn how you can 165 00:09:59,720 --> 00:10:03,320 Speaker 1: pretend at your savings with gold and silver. And I've 166 00:10:03,360 --> 00:10:05,760 Speaker 1: partnered with gold Code because I've done my research and 167 00:10:05,840 --> 00:10:08,480 Speaker 1: learned that they're a great company. They have an amazing 168 00:10:08,559 --> 00:10:12,200 Speaker 1: reputation in the precious metals market. Right now, they're giving 169 00:10:12,240 --> 00:10:16,640 Speaker 1: up to ten thousand dollars in free silver while supplies last. Plus, 170 00:10:16,640 --> 00:10:19,000 Speaker 1: if you're a fan of this show, you could receive 171 00:10:19,040 --> 00:10:23,079 Speaker 1: a free Ronald Reagan silver coin. Now, look, we've already 172 00:10:23,120 --> 00:10:28,720 Speaker 1: had disastrous economic policies, war inflation, of potential recession. Things 173 00:10:28,720 --> 00:10:31,280 Speaker 1: are not looking good for the future, and we can 174 00:10:31,320 --> 00:10:36,400 Speaker 1: throw bank failures and bailouts into this mix. Anyway, I 175 00:10:36,559 --> 00:10:39,320 Speaker 1: just advise you to check what your financial advisor. I've 176 00:10:39,320 --> 00:10:41,680 Speaker 1: made it a part of my portfolio by choice, and 177 00:10:41,760 --> 00:10:44,520 Speaker 1: I'm glad i have gold Call. You can call them 178 00:10:44,559 --> 00:10:47,960 Speaker 1: today at eight five five eight one five gold. That's 179 00:10:48,040 --> 00:10:51,840 Speaker 1: eight five five eight one five gold. And tell them 180 00:10:51,880 --> 00:10:54,200 Speaker 1: your friend Sean Hannity sent you. You'll get a free 181 00:10:54,320 --> 00:10:57,400 Speaker 1: Ronald Reagan silver coin eight five five eight one five 182 00:10:57,600 --> 00:11:12,640 Speaker 1: gold g old exposing terrorism and supporting America's freedom se 183 00:11:13,000 --> 00:11:21,560 Speaker 1: right now, all right, we continue, Joe Biden knew the 184 00:11:21,600 --> 00:11:26,000 Speaker 1: whole time he did know about his family's foreign business dealings. 185 00:11:26,320 --> 00:11:29,480 Speaker 1: We continue with Peter Schweitzer and Eric Eggers of the 186 00:11:29,520 --> 00:11:34,360 Speaker 1: Government Accountability Institute, host of the podcast Drilled Down. You know, Eric, 187 00:11:34,400 --> 00:11:36,600 Speaker 1: I look at the amount of money, and I think 188 00:11:36,640 --> 00:11:39,480 Speaker 1: the American people need to know. Number One, Joe Liede 189 00:11:39,480 --> 00:11:41,960 Speaker 1: when he said he'd never had any knowledge of any 190 00:11:42,000 --> 00:11:45,840 Speaker 1: of these foreign business deals, how much did he benefit 191 00:11:46,360 --> 00:11:51,240 Speaker 1: in terms of personal moneies? On Hunter's laptop, he implicates 192 00:11:51,240 --> 00:11:53,920 Speaker 1: his own father by saying, you know, he has to 193 00:11:53,960 --> 00:11:57,400 Speaker 1: give up half his income to Pops and complains bitterly 194 00:11:57,440 --> 00:12:00,560 Speaker 1: about paying for his home repairs, and you know, ten 195 00:12:00,600 --> 00:12:03,120 Speaker 1: percent for the big guy, as we all know. So 196 00:12:03,720 --> 00:12:07,880 Speaker 1: I want to know how much were these deals worth specifically, 197 00:12:08,280 --> 00:12:10,520 Speaker 1: And it's really to me going to come down to 198 00:12:10,600 --> 00:12:13,160 Speaker 1: follow the money, follow the money, follow the money. And 199 00:12:13,600 --> 00:12:15,640 Speaker 1: it's been a lot of stonewalling on that issue for 200 00:12:15,679 --> 00:12:18,720 Speaker 1: the committee. Well, that's exactly right. But I think that's 201 00:12:18,760 --> 00:12:21,880 Speaker 1: why the work committee is doing is so important. I've 202 00:12:21,960 --> 00:12:23,719 Speaker 1: hurt and I'm sure you have as well. People get 203 00:12:23,760 --> 00:12:26,960 Speaker 1: frustrated because they've been hearing about all these scandals. They've 204 00:12:27,000 --> 00:12:30,760 Speaker 1: been hearing about all the business deals when Ukraine, in China, 205 00:12:30,840 --> 00:12:33,319 Speaker 1: in Russia that Hunter Biden's been doing. I mean, remember, 206 00:12:33,400 --> 00:12:35,240 Speaker 1: like we live in a world in which it was 207 00:12:35,280 --> 00:12:38,479 Speaker 1: treated as okay that Hunter Biden's sold art to Undisclose. 208 00:12:38,559 --> 00:12:41,120 Speaker 1: People like everything goes when it comes to Hunter and 209 00:12:41,160 --> 00:12:43,840 Speaker 1: the Biden and everybody's just fine with it. And so 210 00:12:43,880 --> 00:12:47,200 Speaker 1: I think finally we have now a committee with intention 211 00:12:47,280 --> 00:12:50,320 Speaker 1: and authority and subpoena power. They can get bank record. 212 00:12:50,600 --> 00:12:53,080 Speaker 1: And I know people are frustrated because nothing's been happening, 213 00:12:53,360 --> 00:12:55,800 Speaker 1: but I think the committee's only just now beginning to 214 00:12:55,800 --> 00:12:58,360 Speaker 1: get access to the things that they can really paint 215 00:12:58,400 --> 00:13:01,520 Speaker 1: the full picture of just how corrupt the Biden family 216 00:13:01,520 --> 00:13:04,400 Speaker 1: regime has been and just how enriching it has been 217 00:13:04,520 --> 00:13:08,000 Speaker 1: for their personal family fortune. So you're actually right, it's 218 00:13:08,040 --> 00:13:11,920 Speaker 1: either incredibly important questions and thank goodness, Peter Schweizer hadn't 219 00:13:11,960 --> 00:13:14,040 Speaker 1: stopped talking about it since tween eighteen. Think good, no, 220 00:13:14,240 --> 00:13:16,559 Speaker 1: you haven't stopped talking about it, because otherwise I don't 221 00:13:16,559 --> 00:13:18,760 Speaker 1: think this committee exists, and I don't. Well, he did 222 00:13:18,840 --> 00:13:21,280 Speaker 1: the hard work. I just I just let him, gave 223 00:13:21,360 --> 00:13:24,360 Speaker 1: him a platform to tell his story, and it took 224 00:13:24,400 --> 00:13:28,040 Speaker 1: a long time for it to finally, you know, take root. 225 00:13:28,160 --> 00:13:31,600 Speaker 1: But it has taken root now, and I believe we're 226 00:13:31,720 --> 00:13:33,880 Speaker 1: closer than we've ever been to get an answers to 227 00:13:33,960 --> 00:13:38,760 Speaker 1: these questions. But how here's the harder question, Peter, and 228 00:13:38,880 --> 00:13:43,000 Speaker 1: that is is the Biden family compromised? We know, we 229 00:13:43,080 --> 00:13:45,440 Speaker 1: know they've got to have a dossier on Hunter Biden. 230 00:13:45,840 --> 00:13:47,439 Speaker 1: This is at a point in his life. If you 231 00:13:47,480 --> 00:13:50,240 Speaker 1: look at his life's timeline, I believe he was using 232 00:13:50,320 --> 00:13:52,520 Speaker 1: crack cocaine at the time, and this is the time 233 00:13:52,559 --> 00:13:55,400 Speaker 1: he was involved with hookers and everything else. I can't 234 00:13:55,400 --> 00:13:59,800 Speaker 1: imagine that the communist Chinese and the Russians and Ukrainians 235 00:14:00,000 --> 00:14:04,240 Speaker 1: and have a dossier on him. But is Joe Biden 236 00:14:04,320 --> 00:14:07,440 Speaker 1: himself compromise? We have to ask that question. I think 237 00:14:07,440 --> 00:14:10,559 Speaker 1: the answers, yes, Yeah, I think we do have to 238 00:14:10,600 --> 00:14:12,920 Speaker 1: answer that question. I do think the answer is yes, 239 00:14:13,080 --> 00:14:15,120 Speaker 1: And I think all you have to do is simply 240 00:14:15,200 --> 00:14:19,920 Speaker 1: ask yourself, why do these Chinese businessmen send this money 241 00:14:19,960 --> 00:14:22,160 Speaker 1: to the Bidens. Again, if you look at the agreements 242 00:14:22,880 --> 00:14:25,440 Speaker 1: they're doing doing nothing in return. I mean, in the 243 00:14:25,960 --> 00:14:30,640 Speaker 1: recent committee example of you know, a million three that 244 00:14:30,680 --> 00:14:33,600 Speaker 1: went to Hunter Biden and then he distributed to his 245 00:14:33,720 --> 00:14:37,040 Speaker 1: uncle and to Hallie Biden and others. Hunter Biden says 246 00:14:37,120 --> 00:14:40,800 Speaker 1: it was good faith seed money is what he said, 247 00:14:41,560 --> 00:14:44,400 Speaker 1: which is a meaningless expression. If it's really seed money 248 00:14:44,400 --> 00:14:47,080 Speaker 1: for a business, you're not passing around the family members, 249 00:14:47,120 --> 00:14:50,320 Speaker 1: You're actually investing in the business. The point is all 250 00:14:50,360 --> 00:14:53,600 Speaker 1: of this money seems to be money that was used 251 00:14:53,640 --> 00:14:56,440 Speaker 1: for personal consumption of the family. And so then the 252 00:14:56,560 --> 00:15:01,480 Speaker 1: question becomes, why are these gentlemen in who are linked 253 00:15:01,480 --> 00:15:04,960 Speaker 1: to the intelligence service there? Why are they giving money 254 00:15:05,320 --> 00:15:09,200 Speaker 1: and not getting anything in return. They're not stupid, they're 255 00:15:09,200 --> 00:15:12,320 Speaker 1: not into charity, they're not into philanthropy. So the question 256 00:15:12,480 --> 00:15:14,960 Speaker 1: is what is going on here? And I think that's 257 00:15:15,080 --> 00:15:17,240 Speaker 1: that's the sort of question that this committee needs to 258 00:15:17,280 --> 00:15:20,440 Speaker 1: be asking next. And my feeling is the fact that 259 00:15:20,480 --> 00:15:24,720 Speaker 1: the money continued to flow, you know, beginning in twenty thirteen. 260 00:15:24,840 --> 00:15:29,280 Speaker 1: The deal started up through twenty seventeen, and you know, 261 00:15:29,640 --> 00:15:33,320 Speaker 1: potentially beyond in terms of him selling this stake in BHR. 262 00:15:34,400 --> 00:15:37,400 Speaker 1: You know, the money kept flowing for a reason because 263 00:15:37,400 --> 00:15:40,200 Speaker 1: they were getting something in return. And the question is 264 00:15:40,520 --> 00:15:43,240 Speaker 1: where they getting access, where they getting you know, who knows. 265 00:15:43,440 --> 00:15:45,440 Speaker 1: But that's what I hope the Committee's going to find, 266 00:15:45,680 --> 00:15:48,880 Speaker 1: and I hope we're going to see Hunter, Biden and 267 00:15:49,000 --> 00:15:52,800 Speaker 1: other members of the family subpoena. And we also have 268 00:15:52,920 --> 00:15:55,880 Speaker 1: to reiterate the point Sean that we've talked about before, 269 00:15:55,920 --> 00:15:59,400 Speaker 1: and the Committee has demonstrated the money's fungible. Hunter might 270 00:15:59,400 --> 00:16:02,680 Speaker 1: have been getting the money, but Hunter was passing it 271 00:16:02,760 --> 00:16:06,360 Speaker 1: around the family. So this notion that this is a 272 00:16:06,440 --> 00:16:10,320 Speaker 1: Hunter problem, or it's it's hermetically sealed and it's Hunter's 273 00:16:10,440 --> 00:16:14,359 Speaker 1: money and nobody else's money is not true. Joe Biden benefited. 274 00:16:14,400 --> 00:16:16,360 Speaker 1: We know that Hunter paid his bills with some of 275 00:16:16,360 --> 00:16:19,360 Speaker 1: this money, and other members of the family did as well. 276 00:16:19,400 --> 00:16:23,560 Speaker 1: So it's the Biden's family and its status with Chinese intelligence, 277 00:16:23,800 --> 00:16:26,600 Speaker 1: not just Hunter. I think this is now coming to 278 00:16:26,680 --> 00:16:33,800 Speaker 1: a head, and it's you have been unbelievably doggedly pointing 279 00:16:33,840 --> 00:16:36,720 Speaker 1: this out for years and finally that we now have 280 00:16:36,840 --> 00:16:42,320 Speaker 1: the investigation and we're now beginning to get more corroboration 281 00:16:42,440 --> 00:16:44,760 Speaker 1: for everything that you wrote about back in twenty eighteen. 282 00:16:45,440 --> 00:16:50,760 Speaker 1: Peter Schweitzer, Eric Eger's the Government Accountability Institute. Also they 283 00:16:50,760 --> 00:16:53,520 Speaker 1: have their own podcasts. It's called Drilled Down. Thank you 284 00:16:53,560 --> 00:16:56,640 Speaker 1: both for being here. We appreciate it as always. Thanks 285 00:16:56,680 --> 00:16:59,720 Speaker 1: Sean eight hundred and nine four one Sean, as we 286 00:16:59,800 --> 00:17:04,680 Speaker 1: roll along, Linda view all in any way, paid any 287 00:17:04,720 --> 00:17:08,479 Speaker 1: attention to chat gptwo you have you paid any attention 288 00:17:08,520 --> 00:17:11,439 Speaker 1: to it? You know what I'm talking about? I certainly have. Yeah. Okay, 289 00:17:11,520 --> 00:17:14,800 Speaker 1: So for those that don't know, this is artificial intelligence. 290 00:17:15,680 --> 00:17:18,840 Speaker 1: And Elon Musk, for example, put out a warning that 291 00:17:19,200 --> 00:17:23,640 Speaker 1: artificial intelligence is one of the biggest risks to civilization 292 00:17:23,880 --> 00:17:27,800 Speaker 1: and meaning talking about chat GPT's rise. So a friend 293 00:17:27,800 --> 00:17:30,719 Speaker 1: of mine has it, and we've been experimenting with it 294 00:17:30,840 --> 00:17:35,160 Speaker 1: and putting aside the fact that it is extremely liberal 295 00:17:35,280 --> 00:17:39,400 Speaker 1: left and woke, it is simply amazing what it can 296 00:17:39,560 --> 00:17:43,600 Speaker 1: spit out in terms of information in less than ten seconds. 297 00:17:43,680 --> 00:17:46,119 Speaker 1: It is incredible. Now, it really is. And it's a 298 00:17:46,119 --> 00:17:48,639 Speaker 1: little it's like you said, it's a little bit scary, 299 00:17:48,960 --> 00:17:51,199 Speaker 1: or maybe a lot, Well, it's a lot. When you 300 00:17:51,240 --> 00:17:54,439 Speaker 1: read the New York Post today, new research paper claims 301 00:17:54,440 --> 00:17:57,960 Speaker 1: a staggering amount of employees could see their careers impacted 302 00:17:57,960 --> 00:18:01,640 Speaker 1: by the rise of chat gpt um and and they 303 00:18:01,680 --> 00:18:05,280 Speaker 1: go through very specific professions. I don't want to hurt 304 00:18:05,280 --> 00:18:08,000 Speaker 1: people's feelings here, but there's going to be a lot 305 00:18:08,119 --> 00:18:11,399 Speaker 1: of people that could lose their jobs potentially because of 306 00:18:11,400 --> 00:18:15,119 Speaker 1: this new technology. It is a huge risk, and the 307 00:18:15,160 --> 00:18:18,920 Speaker 1: idea that it's a risk to civilization is also real. Now, 308 00:18:19,160 --> 00:18:23,520 Speaker 1: what's pretty fascinating about it as chat gpt they only 309 00:18:23,680 --> 00:18:26,439 Speaker 1: up to have updated this till I believe it was 310 00:18:26,520 --> 00:18:30,560 Speaker 1: what September twenty twenty one, right, it's but it could 311 00:18:30,560 --> 00:18:33,359 Speaker 1: be in real time. In other words, it could be 312 00:18:33,400 --> 00:18:36,640 Speaker 1: covering real events as they happen. I mean, that's how 313 00:18:36,680 --> 00:18:40,920 Speaker 1: sophisticated the technology is. Um. If you ask a question, 314 00:18:41,440 --> 00:18:45,360 Speaker 1: how do I become successful in in this field or 315 00:18:45,400 --> 00:18:48,919 Speaker 1: that field or this field? Um? What is the what 316 00:18:49,040 --> 00:18:51,440 Speaker 1: would be some of the best ways that I can 317 00:18:51,520 --> 00:18:55,520 Speaker 1: become wealthy in my life? I'm living paycheck to paycheck, 318 00:18:56,040 --> 00:18:59,840 Speaker 1: um Um, I'm looking for ten really good ideas that 319 00:19:00,280 --> 00:19:04,520 Speaker 1: I could easily increase my income and they'll spit out 320 00:19:04,560 --> 00:19:06,320 Speaker 1: ideas and you'll look at them and you say, every 321 00:19:06,359 --> 00:19:09,080 Speaker 1: one of them is a good idea. I mean, it's 322 00:19:09,160 --> 00:19:12,080 Speaker 1: just fascinating. The other thing it can do is it 323 00:19:12,119 --> 00:19:15,439 Speaker 1: can take a story and it can recreate the story. 324 00:19:15,640 --> 00:19:17,600 Speaker 1: So it could take like, say, for example, like the 325 00:19:17,600 --> 00:19:20,399 Speaker 1: New York Post that you mentioned, and it can recreate 326 00:19:20,480 --> 00:19:24,880 Speaker 1: that story using different words in different terminology. So thereby, 327 00:19:24,920 --> 00:19:27,720 Speaker 1: like when we do different stories or we capture different things, 328 00:19:28,000 --> 00:19:30,040 Speaker 1: it can rewrite it as if it was a human person. Now, 329 00:19:30,040 --> 00:19:32,560 Speaker 1: if you read it, you would see certain things that 330 00:19:32,560 --> 00:19:35,040 Speaker 1: didn't read properly. But at the end of the day, 331 00:19:35,040 --> 00:19:37,160 Speaker 1: it's a little scary that it can rewrite that whole 332 00:19:37,200 --> 00:19:40,280 Speaker 1: story the way that the reporter wrote it. Listen on 333 00:19:40,480 --> 00:19:44,000 Speaker 1: any paper. Now. I know schools are on the lookout 334 00:19:44,040 --> 00:19:47,000 Speaker 1: for this and they have chat GPT, but you could 335 00:19:47,040 --> 00:19:50,840 Speaker 1: say I need a research paper X number of words 336 00:19:50,880 --> 00:19:54,920 Speaker 1: on this topic specifically, blah blah blah. It'll spit out 337 00:19:54,920 --> 00:19:57,320 Speaker 1: a paper in ten seconds. And so this is what's 338 00:19:57,359 --> 00:19:59,399 Speaker 1: going on in high schools too. So in college and 339 00:19:59,400 --> 00:20:02,080 Speaker 1: in high school they have all of these kids now 340 00:20:02,119 --> 00:20:07,159 Speaker 1: and now there's teachers, assistants and other algorithms and programs 341 00:20:07,240 --> 00:20:09,679 Speaker 1: that are analyzing the papers that the kids are writing 342 00:20:09,920 --> 00:20:13,160 Speaker 1: to make sure that they're not stealing and using chat 343 00:20:13,200 --> 00:20:15,480 Speaker 1: GPT to do their work. Okay, but then they could 344 00:20:15,560 --> 00:20:18,840 Speaker 1: use chat GPT to do their research for them, correct, 345 00:20:18,880 --> 00:20:22,760 Speaker 1: and so six weeks Sunday they're getting over and then 346 00:20:22,800 --> 00:20:25,400 Speaker 1: just put it on their own words. I mean, that's 347 00:20:25,440 --> 00:20:29,040 Speaker 1: just what's the difference between using chat GPT and then 348 00:20:29,160 --> 00:20:32,760 Speaker 1: using Google or the search engine. Here's the thing, right, 349 00:20:32,800 --> 00:20:35,160 Speaker 1: So at least with Google they have to read, they 350 00:20:35,240 --> 00:20:36,840 Speaker 1: have to read the websites, they have to go through 351 00:20:36,840 --> 00:20:40,080 Speaker 1: the research a little bit themselves, right, But chat GPTs 352 00:20:40,119 --> 00:20:41,719 Speaker 1: doing the whole thing for them, like nap. These are 353 00:20:41,720 --> 00:20:44,040 Speaker 1: the four best ones. Use these ones. Here's the excerpts 354 00:20:44,080 --> 00:20:46,680 Speaker 1: from it. This is the paragraph it's in. Here's your footnote, 355 00:20:46,720 --> 00:20:49,480 Speaker 1: and you're welcome. I'm like, oh my god. I mean 356 00:20:49,520 --> 00:20:52,040 Speaker 1: it's not it's pretty scary stuff, you know, and it's 357 00:20:52,040 --> 00:20:54,199 Speaker 1: definitely going to impact kids education because they don't have 358 00:20:54,240 --> 00:20:55,960 Speaker 1: I mean, heck, they're not working as hard as we 359 00:20:56,000 --> 00:20:57,679 Speaker 1: did even now. I mean, none of them maybe use 360 00:20:57,680 --> 00:21:00,399 Speaker 1: a pencil, It's true, I mean they oh man, they 361 00:21:00,440 --> 00:21:02,600 Speaker 1: don't use a pencil. I mean seriously. I mean, Liam 362 00:21:02,720 --> 00:21:05,719 Speaker 1: is seven and he's on his Chromebook and he showed 363 00:21:05,760 --> 00:21:09,760 Speaker 1: me how he's doing code, and Mama, this is JavaScript, 364 00:21:09,800 --> 00:21:12,320 Speaker 1: and this is how I can write EAHTML. And let 365 00:21:12,320 --> 00:21:14,919 Speaker 1: me show you how I could splice this audio together. 366 00:21:15,000 --> 00:21:18,200 Speaker 1: And I'm like, oh my god. I mean it's great. 367 00:21:18,240 --> 00:21:19,800 Speaker 1: I want him to be smart, but I'd also like 368 00:21:19,920 --> 00:21:23,800 Speaker 1: him to do you know, long division, multiplication, just some 369 00:21:23,880 --> 00:21:26,600 Speaker 1: basic stuff, you know, not everything. It has to be 370 00:21:26,640 --> 00:21:29,320 Speaker 1: a computer. I'm not saying excluded, included, but just not 371 00:21:29,400 --> 00:21:32,080 Speaker 1: the only thing. Listen, I totally agree with you. There's 372 00:21:32,080 --> 00:21:35,360 Speaker 1: a part of this. This is just addicting and fascinating 373 00:21:35,400 --> 00:21:38,959 Speaker 1: to me. And I have other thoughts about it. You know, 374 00:21:39,040 --> 00:21:41,640 Speaker 1: how can you use it for good? And then when 375 00:21:41,680 --> 00:21:45,000 Speaker 1: I think about the possibilities of people misusing it or 376 00:21:45,040 --> 00:21:48,919 Speaker 1: abusing it, that is frightening to me. And I think 377 00:21:48,960 --> 00:21:52,640 Speaker 1: that's what Elon Musk was warning about. But by the way, reminder, 378 00:21:53,080 --> 00:21:57,040 Speaker 1: Donald Trump on Hannity tonight on the Fox News Channel. 379 00:21:57,600 --> 00:22:00,399 Speaker 1: We got way more than an hour's interview with him, 380 00:22:00,440 --> 00:22:02,400 Speaker 1: but we're running for the full hour and then we'll 381 00:22:02,400 --> 00:22:05,760 Speaker 1: have more all throughout the week. Barry is in the 382 00:22:05,800 --> 00:22:08,120 Speaker 1: great State of Florida, Barry High, How are you glad 383 00:22:08,119 --> 00:22:11,760 Speaker 1: you called, sir Hi? Sure on your terrific I've listened 384 00:22:11,760 --> 00:22:14,160 Speaker 1: to you for over twenty five years, watched you as 385 00:22:14,200 --> 00:22:16,720 Speaker 1: well and speak the truth, and we need that here 386 00:22:16,720 --> 00:22:24,639 Speaker 1: in America. Thank you, my friend. I greatly admire a 387 00:22:24,760 --> 00:22:29,440 Speaker 1: Governor DeSantis here in Florida for everything he's done in Florida, 388 00:22:29,520 --> 00:22:32,600 Speaker 1: and President Trump has done a great job and delivered 389 00:22:32,680 --> 00:22:36,920 Speaker 1: for all Americans when he was president. Well, I don't 390 00:22:36,960 --> 00:22:43,119 Speaker 1: appreciate when Governor DeSantis caused a nondisclosure agreement, which is 391 00:22:43,400 --> 00:22:47,920 Speaker 1: used all the time in business and sometimes in government, 392 00:22:48,520 --> 00:22:52,600 Speaker 1: just so that parties that agreed to things that might 393 00:22:52,680 --> 00:22:57,600 Speaker 1: be embarrassing. You know, it's it's a civil matter and 394 00:22:57,720 --> 00:23:03,040 Speaker 1: it's a contract. When govern De Santis calls it hush money, 395 00:23:03,359 --> 00:23:06,400 Speaker 1: those are the words of the radical left trying to 396 00:23:06,400 --> 00:23:09,960 Speaker 1: take down President Trump. A word is powerful these days 397 00:23:10,240 --> 00:23:13,040 Speaker 1: when it's repeated over and over again. And that's my 398 00:23:13,119 --> 00:23:16,280 Speaker 1: on name reason. Well, but let me put this. I 399 00:23:17,119 --> 00:23:20,440 Speaker 1: have a question for the President on this, and I'll 400 00:23:20,440 --> 00:23:22,680 Speaker 1: tell you what the question is because I'm gonna when 401 00:23:22,720 --> 00:23:25,120 Speaker 1: I talked to Governor De Santis next, I'll ask him 402 00:23:25,160 --> 00:23:28,760 Speaker 1: his side. Basically, the question I'm being asked more than 403 00:23:28,840 --> 00:23:31,520 Speaker 1: any other question at this moment is what is going 404 00:23:31,560 --> 00:23:35,159 Speaker 1: on between Ron De Santis and Donald Trump? They were friends, 405 00:23:35,680 --> 00:23:38,439 Speaker 1: and that's what I'm gonna ask. What happened, What happened? 406 00:23:38,440 --> 00:23:42,200 Speaker 1: What caused? This part of it was addressed the other 407 00:23:42,320 --> 00:23:46,440 Speaker 1: night when he had his rally and Waco, Texas. But 408 00:23:46,920 --> 00:23:49,960 Speaker 1: if you want a full answer, it'll be on Hannity tonight, 409 00:23:50,080 --> 00:23:52,800 Speaker 1: and you know then I'll give Ronda Santis at some 410 00:23:52,840 --> 00:23:56,120 Speaker 1: point an opportunity to respond. But um, if I had 411 00:23:56,280 --> 00:24:00,800 Speaker 1: my choice, I'd rather focus on how bad Democrats are 412 00:24:00,800 --> 00:24:04,080 Speaker 1: destroying the country. That would be my choice, and I 413 00:24:04,600 --> 00:24:07,719 Speaker 1: agree with that. But we don't use the terms of 414 00:24:07,720 --> 00:24:11,520 Speaker 1: the radical left to try to bring down your opponent. Listen, 415 00:24:11,640 --> 00:24:15,520 Speaker 1: it's it's going both ways. You got to admit and um, 416 00:24:15,760 --> 00:24:17,800 Speaker 1: but you know there's a reason for it. I want 417 00:24:17,800 --> 00:24:21,040 Speaker 1: to find out the full reason, and you know what, Look, 418 00:24:21,400 --> 00:24:25,399 Speaker 1: you gotta understand something. Politics is a blood sport. My 419 00:24:25,560 --> 00:24:29,680 Speaker 1: preference would be this at some point during a primary, 420 00:24:29,840 --> 00:24:33,639 Speaker 1: it's always, always, always, whether you like it or not, 421 00:24:33,760 --> 00:24:37,200 Speaker 1: it's gonna get ugly. But it doesn't have to come 422 00:24:37,240 --> 00:24:40,760 Speaker 1: out of the gate being that ugly and um, but 423 00:24:40,800 --> 00:24:43,199 Speaker 1: it is what it is. So, I mean, this is 424 00:24:43,240 --> 00:24:46,920 Speaker 1: the environment we were living in. Now. Do I think 425 00:24:47,040 --> 00:24:51,200 Speaker 1: Rhonda Santis is going to run? Every indication is that 426 00:24:51,240 --> 00:24:55,280 Speaker 1: he will. I mean, he wrote a book, he's been 427 00:24:55,440 --> 00:25:00,000 Speaker 1: to Iowa, he's been in New Hampshire, he's been It's 428 00:25:00,000 --> 00:25:02,680 Speaker 1: seems like he's running to me. So you know, we'll 429 00:25:02,680 --> 00:25:05,720 Speaker 1: see what happens. As of now, Trump leads him in 430 00:25:05,840 --> 00:25:08,520 Speaker 1: almost every poll by a pretty significant amount, but that 431 00:25:08,560 --> 00:25:12,520 Speaker 1: can change over time, and you know, we'll just see 432 00:25:12,520 --> 00:25:15,720 Speaker 1: what happens. I think the biggest you know, challenge for 433 00:25:15,760 --> 00:25:19,080 Speaker 1: the president, and I'll ask him about some of this tonight, 434 00:25:19,240 --> 00:25:21,960 Speaker 1: is about, you know, all these legal issues he's facing, 435 00:25:22,080 --> 00:25:25,320 Speaker 1: and you know, like, for example, I didn't I thought 436 00:25:25,359 --> 00:25:29,680 Speaker 1: he had a great week last week legally, and then 437 00:25:29,800 --> 00:25:32,600 Speaker 1: then we have the incident. He's talking about death and destruction, 438 00:25:32,680 --> 00:25:35,120 Speaker 1: and then there was the images of the bat Alvin Bragg. 439 00:25:35,200 --> 00:25:36,920 Speaker 1: I don't think that was a good idea myself. I'll 440 00:25:36,960 --> 00:25:39,880 Speaker 1: ask Joe Takapina's lawyer at the top of the hour 441 00:25:39,960 --> 00:25:42,520 Speaker 1: about it. But anyway, good call, my friend, Thank you, 442 00:25:42,640 --> 00:25:45,040 Speaker 1: all right, quick break right back, We'll continue eight hundred 443 00:25:45,040 --> 00:25:46,840 Speaker 1: and nine four one Sean. If you want to be 444 00:25:46,920 --> 00:25:53,639 Speaker 1: a part of the program as we continue, the final 445 00:25:53,680 --> 00:25:56,919 Speaker 1: hour roundup is next. You do not want to miss it, 446 00:25:57,040 --> 00:25:59,919 Speaker 1: and stay tuned for the final hour free for all 447 00:26:00,200 --> 00:26:06,959 Speaker 1: on the Sean Hand Show. All right, we get back 448 00:26:07,000 --> 00:26:09,240 Speaker 1: to our busy phones eight hundred and nine for one, Shan. 449 00:26:09,359 --> 00:26:12,560 Speaker 1: Our number Andy is in Minnesota. Andy, Hi, how are 450 00:26:12,600 --> 00:26:15,879 Speaker 1: you glad you called? Oh? Hi, Sean. It's a pleasure 451 00:26:15,920 --> 00:26:19,720 Speaker 1: to speak to you, a long time listener. And before 452 00:26:19,760 --> 00:26:22,400 Speaker 1: I get to my questions, I would just like to 453 00:26:22,440 --> 00:26:25,679 Speaker 1: lift up to people of Nashville with what's happening today 454 00:26:25,840 --> 00:26:30,440 Speaker 1: and especially the families who have lost children, and pray 455 00:26:30,480 --> 00:26:33,639 Speaker 1: that our nation turns away from von gets back to 456 00:26:33,720 --> 00:26:37,879 Speaker 1: the Christian values that we have been founded on. Well, 457 00:26:37,920 --> 00:26:42,399 Speaker 1: I will say anybody that has been impacted by these events, 458 00:26:43,480 --> 00:26:46,320 Speaker 1: I will tell you it's sad. The tragedy that you 459 00:26:46,320 --> 00:26:49,879 Speaker 1: know went on in Nashville today, six killed three students, 460 00:26:49,960 --> 00:26:53,320 Speaker 1: the shooters now dead. Those that were impacted by that 461 00:26:53,400 --> 00:26:56,160 Speaker 1: tornado the other day, that too is you know, our 462 00:26:56,200 --> 00:27:00,520 Speaker 1: prayers are with them as well. I wish it didn't 463 00:27:00,640 --> 00:27:04,520 Speaker 1: exist something called evil. I you know, I wish that 464 00:27:04,640 --> 00:27:07,199 Speaker 1: human beings had a good heart and soul, and a 465 00:27:07,240 --> 00:27:11,639 Speaker 1: conscience and an ability to discern right from wrong and 466 00:27:11,800 --> 00:27:17,359 Speaker 1: to irresistibly obeys, as Thomas Payne once wrote, the Guides 467 00:27:17,400 --> 00:27:19,960 Speaker 1: and Dictates of Conscience, because if we did, we wouldn't 468 00:27:20,000 --> 00:27:23,040 Speaker 1: even need government, if people would follow the goodness that 469 00:27:23,200 --> 00:27:26,159 Speaker 1: is within them. You know, look, the story of the 470 00:27:26,240 --> 00:27:29,520 Speaker 1: human experiences to human beings have a capacity for good 471 00:27:29,680 --> 00:27:32,400 Speaker 1: and a capacity for evil, and a lot of it 472 00:27:32,480 --> 00:27:35,199 Speaker 1: is due to the choices that everybody makes eventually in 473 00:27:35,240 --> 00:27:37,520 Speaker 1: their life. You know, seven people and now there's seven 474 00:27:37,560 --> 00:27:41,840 Speaker 1: people that have died, sadly not six. Oh dear my 475 00:27:42,040 --> 00:27:48,960 Speaker 1: question Sean for you Elvin Braig campaigning on getting President 476 00:27:49,000 --> 00:27:52,879 Speaker 1: Trump and also Letitia James, can they not be charged 477 00:27:52,920 --> 00:27:57,879 Speaker 1: with an ethics violation or malicious prosecution or even face 478 00:27:58,119 --> 00:28:03,840 Speaker 1: disbarment for well, Professor Dershowitz thing So, by the way, 479 00:28:03,840 --> 00:28:05,560 Speaker 1: he's written a really good book. We'll have him on 480 00:28:05,600 --> 00:28:08,800 Speaker 1: this week about it. Get Trump. I mean, this is 481 00:28:08,880 --> 00:28:11,720 Speaker 1: obviously an attempt, you know, It's it's kind of odd. 482 00:28:11,760 --> 00:28:15,160 Speaker 1: And on the one hand that Democrats say that they 483 00:28:15,160 --> 00:28:17,360 Speaker 1: want they want Donald Trump to be the nominee, they 484 00:28:17,400 --> 00:28:20,280 Speaker 1: think he would be the easiest one to beat. Okay, 485 00:28:20,359 --> 00:28:22,880 Speaker 1: then if that's the case, then then why are they 486 00:28:22,920 --> 00:28:26,800 Speaker 1: trying so hard to put him in jail? Or maybe 487 00:28:26,800 --> 00:28:30,960 Speaker 1: they're just trying hard enough to get him perp walked, handcuffed, 488 00:28:31,520 --> 00:28:36,520 Speaker 1: u fingerprinted mug shots, and and just damage him as 489 00:28:36,640 --> 00:28:38,800 Speaker 1: much as they can do and bloody him up as 490 00:28:38,920 --> 00:28:41,400 Speaker 1: much as they can bloody him up so that you 491 00:28:41,400 --> 00:28:45,080 Speaker 1: know he's he's beaten and bloody going into any campaign. 492 00:28:45,160 --> 00:28:48,200 Speaker 1: I don't know, but they certainly seem to be after 493 00:28:48,280 --> 00:28:52,560 Speaker 1: him on every legal aspect at all. Oh, it's just endless. 494 00:28:52,920 --> 00:28:57,600 Speaker 1: It's endless. You're not wrong, Yeah, Okay, every week we 495 00:28:57,720 --> 00:29:02,200 Speaker 1: watch um President Biden kind of mumbling and stumbling. Why 496 00:29:02,200 --> 00:29:06,560 Speaker 1: aren't there calls for him to take a mental competency 497 00:29:06,680 --> 00:29:10,680 Speaker 1: test like the President Trump? There have been, and I 498 00:29:10,720 --> 00:29:13,440 Speaker 1: think he should. And the reason he's not taking it 499 00:29:13,480 --> 00:29:16,400 Speaker 1: as obvious he can't pass it. Joe Biden has no 500 00:29:16,560 --> 00:29:21,160 Speaker 1: capacity to pass that test. I've looked at these cognitive tests. 501 00:29:21,160 --> 00:29:22,960 Speaker 1: I wanted to, you know, I did a deep dive 502 00:29:23,000 --> 00:29:25,400 Speaker 1: into them. I wanted to find out, you know, a 503 00:29:25,680 --> 00:29:28,520 Speaker 1: simple test. You know, it's a test that starts out 504 00:29:28,600 --> 00:29:31,520 Speaker 1: easy and it's harder and harder and harder with every question, 505 00:29:31,800 --> 00:29:34,760 Speaker 1: and Donald Trump aced his I'm not sure I would 506 00:29:34,800 --> 00:29:37,800 Speaker 1: get a perfect score on the cognitive test. I'm not sure. Yeah. 507 00:29:37,840 --> 00:29:40,320 Speaker 1: And I have a pretty good memory. I have a 508 00:29:40,320 --> 00:29:43,080 Speaker 1: lot in there. There's certain things I retain and certain 509 00:29:43,120 --> 00:29:45,240 Speaker 1: things I don't retain. Linda, you can attest to that. 510 00:29:45,320 --> 00:29:47,720 Speaker 1: I can tell you Ronald Reagan's record from you know, 511 00:29:47,800 --> 00:29:52,080 Speaker 1: his presidency and every president thereafter. But on the other hand, 512 00:29:52,080 --> 00:29:54,320 Speaker 1: if you asked me who was on this program all 513 00:29:54,400 --> 00:29:57,400 Speaker 1: last week, I couldn't name every guest. But I will 514 00:29:57,400 --> 00:29:59,960 Speaker 1: say you also have another amazing skill set, which is 515 00:30:00,120 --> 00:30:03,960 Speaker 1: call letters. I've never met anyone who knows all the 516 00:30:04,040 --> 00:30:06,360 Speaker 1: call letters of all their stations. The way that you 517 00:30:06,440 --> 00:30:10,320 Speaker 1: do it is really kind of weird. All the qual letters, 518 00:30:10,400 --> 00:30:14,080 Speaker 1: however you say, and how do you say it? No, 519 00:30:14,240 --> 00:30:17,160 Speaker 1: the call letters, So all those call letters, you know 520 00:30:17,560 --> 00:30:19,880 Speaker 1: most of them? Three four? You know what I'm not 521 00:30:19,960 --> 00:30:22,560 Speaker 1: talking about. I was giving you a compliment, But that's okay, 522 00:30:22,560 --> 00:30:25,720 Speaker 1: we can move on. No. I but well, it's a passion, 523 00:30:25,840 --> 00:30:29,080 Speaker 1: just like politics is a passion, you know, focusing on 524 00:30:29,120 --> 00:30:32,600 Speaker 1: a particular segment. I've got to after that shows over, 525 00:30:32,720 --> 00:30:34,880 Speaker 1: I got another TV show to do and then another 526 00:30:34,960 --> 00:30:37,920 Speaker 1: radio show to do the next day, so I you 527 00:30:37,960 --> 00:30:40,040 Speaker 1: know that shows in the can now move on to 528 00:30:40,120 --> 00:30:43,360 Speaker 1: the next one. But anyway, thank you for the compliment, Linda, 529 00:30:43,520 --> 00:30:47,600 Speaker 1: and thank you for Minnesota, Andy and Minnesota. How cold 530 00:30:47,680 --> 00:30:49,800 Speaker 1: is it? By the way, not bad? And we've gone 531 00:30:49,840 --> 00:30:52,800 Speaker 1: from the land of ten thousand Lakes to the land 532 00:30:52,840 --> 00:30:57,200 Speaker 1: of ten thousand blizzards every month it seems like this winter. 533 00:30:57,400 --> 00:30:59,880 Speaker 1: But today the sun is out and it's really not 534 00:31:00,080 --> 00:31:02,959 Speaker 1: that here. I think it's probably about thirty six degrees nightie. 535 00:31:03,080 --> 00:31:05,440 Speaker 1: One place I could promise you I don't want to 536 00:31:05,440 --> 00:31:08,240 Speaker 1: live and I don't mean to be insulting. I have 537 00:31:08,320 --> 00:31:12,120 Speaker 1: no desire to live in a freezing cold place like Minnesota, 538 00:31:12,480 --> 00:31:15,239 Speaker 1: none at all. It's just too cold for me. I 539 00:31:15,320 --> 00:31:17,280 Speaker 1: used to love the cold when I was skiing, but 540 00:31:17,440 --> 00:31:19,080 Speaker 1: as I get older, I think I'd prefer to be 541 00:31:19,120 --> 00:31:23,240 Speaker 1: in warm temperature, throw some shorts on, and uh, wear 542 00:31:23,280 --> 00:31:25,959 Speaker 1: a long sleeve T shirt so I don't get a sunburn. 543 00:31:26,160 --> 00:31:29,160 Speaker 1: You think that's Linda's laughing, you know, I mean, I 544 00:31:29,240 --> 00:31:32,160 Speaker 1: think it's extreme. I mean, you know, but you're talking 545 00:31:32,200 --> 00:31:34,080 Speaker 1: to me, and I love the cold, so you know 546 00:31:34,440 --> 00:31:37,400 Speaker 1: it's very obvious. Your your skin is not seen in 547 00:31:37,440 --> 00:31:40,160 Speaker 1: the light of day in thirty five years. Oh listen, 548 00:31:40,200 --> 00:31:42,200 Speaker 1: I give vampires a run for them. 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