1 00:00:01,360 --> 00:00:04,400 Speaker 1: Well, happy New Year's It is nice to have you 2 00:00:04,480 --> 00:00:07,400 Speaker 1: with us on Verdict with Center, Ted Cruz, Ben Ferguson 3 00:00:07,480 --> 00:00:09,520 Speaker 1: with you, and we are going to have a lot 4 00:00:09,560 --> 00:00:13,000 Speaker 1: of fun on this show and on Friday show is 5 00:00:13,039 --> 00:00:15,200 Speaker 1: we are going to go through some of the biggest 6 00:00:15,240 --> 00:00:19,320 Speaker 1: predictions over the last year, and some of these. 7 00:00:19,200 --> 00:00:20,080 Speaker 2: Even go back further. 8 00:00:20,120 --> 00:00:23,600 Speaker 1: But we founded information now that proves that we were 9 00:00:23,680 --> 00:00:26,360 Speaker 1: right on this show of things that you're not going 10 00:00:26,440 --> 00:00:30,320 Speaker 1: to hear anywhere else, predictions, big predictions that we made 11 00:00:30,480 --> 00:00:32,720 Speaker 1: right here. This will be a two part series, so 12 00:00:33,200 --> 00:00:35,880 Speaker 1: today New Year's Day, you're going to get part one 13 00:00:36,440 --> 00:00:39,320 Speaker 1: and then part two on Friday, and in no particular 14 00:00:39,440 --> 00:00:41,599 Speaker 1: order of importance, we're going to do our top ten, 15 00:00:41,720 --> 00:00:44,320 Speaker 1: but we're not ranking them as one through ten as 16 00:00:44,320 --> 00:00:46,760 Speaker 1: in the biggest These are just ten predictions in general. 17 00:00:46,960 --> 00:00:49,400 Speaker 1: And so that being said, let me first say to 18 00:00:49,440 --> 00:00:50,880 Speaker 1: you Center, Happy New Year. 19 00:00:51,200 --> 00:00:53,840 Speaker 3: Well, Happy New Year. I hope everyone had a wonderful 20 00:00:53,840 --> 00:00:56,920 Speaker 3: New Year's Eve. I hope everyone is excited and ready 21 00:00:56,960 --> 00:01:00,520 Speaker 3: for twenty twenty five. I'll say last night, Heidi and 22 00:00:59,840 --> 00:01:01,920 Speaker 3: I and both our girls we were at mar A 23 00:01:02,000 --> 00:01:04,160 Speaker 3: Lago with President Trump. I will tell you it was 24 00:01:04,200 --> 00:01:08,000 Speaker 3: a wild evening and incredible evening. We'll talk on a 25 00:01:08,040 --> 00:01:11,440 Speaker 3: future podcast about everything that happened New Year's Eve, but 26 00:01:11,480 --> 00:01:13,560 Speaker 3: it was a great way to celebrate not just the 27 00:01:13,680 --> 00:01:17,000 Speaker 3: end of the year, but to celebrate a fantastic election, 28 00:01:17,200 --> 00:01:19,920 Speaker 3: a new administration coming in, a new Congress coming in, 29 00:01:20,160 --> 00:01:22,759 Speaker 3: change that is in the air. And at a time 30 00:01:22,800 --> 00:01:28,240 Speaker 3: of celebration, it's also a time to reflect on this 31 00:01:28,319 --> 00:01:32,080 Speaker 3: podcast and on what we do, and in particular, one 32 00:01:32,080 --> 00:01:33,640 Speaker 3: of the things we do on this podcast that a 33 00:01:33,680 --> 00:01:36,960 Speaker 3: lot of people don't do is we make predictions. I 34 00:01:37,400 --> 00:01:40,680 Speaker 3: stick my neck out and make predictions about what's going 35 00:01:40,760 --> 00:01:44,480 Speaker 3: to happen, make clear, explicit predictions, and I have to say, 36 00:01:44,520 --> 00:01:47,840 Speaker 3: over the run a verdict. We have a remarkable record 37 00:01:47,840 --> 00:01:52,840 Speaker 3: of those predictions proving correct over and over and over again. 38 00:01:52,880 --> 00:01:55,040 Speaker 3: And many of the predictions we make on this podcast, 39 00:01:55,840 --> 00:01:58,760 Speaker 3: very few if anybody else is saying, you're certainly not 40 00:01:58,920 --> 00:02:01,200 Speaker 3: getting it in the New York Times, you're certainly not 41 00:02:01,240 --> 00:02:05,360 Speaker 3: getting at the Washington Post or ABCNBCCBS or CNN or MSNBC. 42 00:02:06,360 --> 00:02:09,480 Speaker 3: And so we're going to go through ten predictions that 43 00:02:09,560 --> 00:02:13,359 Speaker 3: on this podcast we have made that had proven correct 44 00:02:14,280 --> 00:02:16,560 Speaker 3: and the principle going forward. If you want to know 45 00:02:16,600 --> 00:02:18,360 Speaker 3: what's going to happen next, what's going to happen in 46 00:02:18,360 --> 00:02:20,519 Speaker 3: twenty twenty five, what's going to happen in twenty twenty six, 47 00:02:20,560 --> 00:02:23,520 Speaker 3: what's going to happen going forward, Well listen to verdict, 48 00:02:23,560 --> 00:02:26,359 Speaker 3: because we're going to keep making predictions. And so far 49 00:02:27,360 --> 00:02:31,799 Speaker 3: our batting record is pretty damn good in including some 50 00:02:31,840 --> 00:02:36,320 Speaker 3: predictions that at the time we made them were widely, 51 00:02:36,480 --> 00:02:43,800 Speaker 3: widely ridiculed and deemed crazy tinfoil hat wearing conspiracy theories. 52 00:02:43,840 --> 00:02:46,080 Speaker 3: And now they are indisputably correct. 53 00:02:47,280 --> 00:02:50,280 Speaker 1: And let's go back, and let's start with one that's 54 00:02:50,400 --> 00:02:53,280 Speaker 1: way back, and now we have a lot more confirmation 55 00:02:53,440 --> 00:02:56,519 Speaker 1: to say, yet again we were right. I want to 56 00:02:56,560 --> 00:03:01,280 Speaker 1: go back to March the tenth of twenty twenty. March tenth, 57 00:03:01,280 --> 00:03:03,360 Speaker 1: twenty twenty, get that in your head. We're in twenty 58 00:03:03,400 --> 00:03:08,720 Speaker 1: twenty five now, January first, and you said that in fact, 59 00:03:09,400 --> 00:03:14,040 Speaker 1: COVID nineteen you believe was coming from a lab, that 60 00:03:14,120 --> 00:03:17,040 Speaker 1: this wasn't some man mad, this wasn't some organic thing, 61 00:03:17,120 --> 00:03:21,160 Speaker 1: this was clearly man made. And if you said that, 62 00:03:21,280 --> 00:03:24,840 Speaker 1: by the way, on social media, you were shut down. 63 00:03:25,080 --> 00:03:27,480 Speaker 1: You were put into what we referred to as social 64 00:03:27,560 --> 00:03:31,160 Speaker 1: media jail. Your reach was limited, you couldn't run ads. 65 00:03:31,520 --> 00:03:32,400 Speaker 1: It changed looks. 66 00:03:32,240 --> 00:03:36,000 Speaker 3: People in twenty twenty. In twenty twenty, Facebook and Twitter 67 00:03:36,440 --> 00:03:40,520 Speaker 3: and Google, they were all actively suppressing saying that that 68 00:03:40,640 --> 00:03:45,280 Speaker 3: COVID was a man made virus, that it was not 69 00:03:45,480 --> 00:03:48,200 Speaker 3: something that had just naturally leapt from an animal to 70 00:03:48,240 --> 00:03:51,120 Speaker 3: the human population, but rather that it escaped from a lab. 71 00:03:51,640 --> 00:03:52,840 Speaker 2: It was suppressed. 72 00:03:52,880 --> 00:03:56,200 Speaker 3: We now know that that Facebook, that doctor Fauci was 73 00:03:56,200 --> 00:03:59,080 Speaker 3: communicating with Mark Zuckerberg asking him to suppress it. And 74 00:03:59,160 --> 00:04:03,520 Speaker 3: yet somehow, starting back in March of twenty twenty, this 75 00:04:03,600 --> 00:04:07,040 Speaker 3: show was laying out the facts, and for our loyal 76 00:04:07,360 --> 00:04:10,600 Speaker 3: listeners and viewers, they were hearing the facts about COVID 77 00:04:10,720 --> 00:04:13,440 Speaker 3: right at the very beginning Give a List in March tenth, 78 00:04:13,480 --> 00:04:14,120 Speaker 3: twenty twenty. 79 00:04:14,400 --> 00:04:16,880 Speaker 4: This was just a bad case of bat soup. That 80 00:04:16,920 --> 00:04:18,919 Speaker 4: people ate something they shouldn't have eaten, and that's how 81 00:04:18,960 --> 00:04:22,320 Speaker 4: it spread. Others have pointed to this strange coincidence that 82 00:04:22,360 --> 00:04:26,880 Speaker 4: there is a virus testing laboratory in Wuhan. Do we 83 00:04:26,920 --> 00:04:30,960 Speaker 4: have any sense of the true origins of the virus, Well, 84 00:04:31,000 --> 00:04:32,120 Speaker 4: we don't know for sure. 85 00:04:32,640 --> 00:04:35,680 Speaker 3: I've asked medical experts, and they've said, based on the 86 00:04:35,680 --> 00:04:38,200 Speaker 3: sequencing of the genomes, it does not appear to be 87 00:04:38,720 --> 00:04:41,400 Speaker 3: artificially created, that it appears to be a virus that 88 00:04:42,120 --> 00:04:44,560 Speaker 3: has occurred in nature. You're right that a lot of 89 00:04:44,560 --> 00:04:48,839 Speaker 3: people have focused on the Wuhan Virology Institute that is 90 00:04:48,880 --> 00:04:52,919 Speaker 3: located right there, and indeed they've got researchers there that 91 00:04:52,960 --> 00:04:55,640 Speaker 3: are studying coronavirus and studying bats. 92 00:04:55,680 --> 00:04:56,000 Speaker 4: I mean that. 93 00:04:57,880 --> 00:05:01,520 Speaker 3: Raises some obvious questions. At the same time, it's it's 94 00:05:01,680 --> 00:05:05,560 Speaker 3: very interesting. Do you remember back last fall when when 95 00:05:05,560 --> 00:05:08,560 Speaker 3: the Houston Rockets, when Darryl Mory, the general manager, tweeted 96 00:05:08,560 --> 00:05:11,160 Speaker 3: out about Hong Kong. He said, stand with Hong Kong, 97 00:05:11,240 --> 00:05:14,560 Speaker 3: stand for liberty, right, and and the NBA went crazy, 98 00:05:14,600 --> 00:05:19,480 Speaker 3: and China went crazy, and the NBA apologized profusely. I 99 00:05:19,560 --> 00:05:21,400 Speaker 3: have to admit, it's kind of the same thing that 100 00:05:21,480 --> 00:05:26,600 Speaker 3: anyone suggests, well, gosh, you know, there are thousands, hundreds 101 00:05:26,600 --> 00:05:29,120 Speaker 3: of thousands of cities all across the world. It just 102 00:05:29,160 --> 00:05:32,279 Speaker 3: so happens this outbreak is there right where this virology 103 00:05:32,360 --> 00:05:37,120 Speaker 3: lab is, and the collective media acts with this outrage 104 00:05:37,960 --> 00:05:41,360 Speaker 3: of okay, take your take your tin hat off. How 105 00:05:41,440 --> 00:05:45,560 Speaker 3: dare you even ask that question? You know it, it's 106 00:05:45,680 --> 00:05:48,240 Speaker 3: obviously a question that people are going to inquire. Look, 107 00:05:48,279 --> 00:05:51,159 Speaker 3: the first step needs to be stopping this this virus, 108 00:05:51,200 --> 00:05:54,559 Speaker 3: stopping the disease and protecting human life right now. But 109 00:05:54,720 --> 00:05:57,080 Speaker 3: there are certainly going to be questions following up if 110 00:05:57,360 --> 00:05:58,719 Speaker 3: there is any connection or not. 111 00:05:59,760 --> 00:06:01,800 Speaker 2: And and that seems at least a reasonable question. 112 00:06:01,839 --> 00:06:05,200 Speaker 1: I ask you listen that, and again we're going back 113 00:06:05,279 --> 00:06:08,440 Speaker 1: now to twenty twenty for that you were spot on, 114 00:06:09,040 --> 00:06:12,119 Speaker 1: and that was something that the media and social media 115 00:06:12,200 --> 00:06:14,800 Speaker 1: said made you a conspiracy theorist. 116 00:06:15,040 --> 00:06:18,800 Speaker 3: Yeah, and listen, there are two predictions that that came 117 00:06:18,839 --> 00:06:22,240 Speaker 3: out that we were laying out. Number one, that that 118 00:06:23,120 --> 00:06:25,919 Speaker 3: COVID did not occur just naturally, did not occur in 119 00:06:25,960 --> 00:06:28,760 Speaker 3: a wet market from someone eating bat soup, but rather 120 00:06:28,800 --> 00:06:29,800 Speaker 3: than it escaped. 121 00:06:29,480 --> 00:06:30,080 Speaker 2: From a lab. 122 00:06:30,680 --> 00:06:33,919 Speaker 3: And number two that in particular it came from the 123 00:06:33,920 --> 00:06:37,719 Speaker 3: Wuhan Institute of Virology. And look, early on, you're dealing 124 00:06:37,720 --> 00:06:40,240 Speaker 3: with limited information. I was trying to do my best 125 00:06:40,520 --> 00:06:42,560 Speaker 3: to walk through that limited information. By the way, I 126 00:06:42,640 --> 00:06:45,240 Speaker 3: got to say in that clip, Ben, you sound kind 127 00:06:45,279 --> 00:06:47,080 Speaker 3: of funny there. You know, you don't have much of 128 00:06:47,080 --> 00:06:51,040 Speaker 3: a sudden thing. You know, you sound like you sound 129 00:06:51,120 --> 00:06:52,640 Speaker 3: kind of like a yalea. It's a little weird. 130 00:06:53,560 --> 00:06:55,320 Speaker 1: I've always, you know, wanted to know what I'd sound 131 00:06:55,400 --> 00:06:57,000 Speaker 1: like if I went to the ivy leagues. And now 132 00:06:57,040 --> 00:07:00,839 Speaker 1: I know. Compliments of Michael Knowles for making that happened right. 133 00:07:02,200 --> 00:07:04,480 Speaker 2: And for long time Verdict listeners. 134 00:07:04,520 --> 00:07:07,039 Speaker 3: Michael Knowles, my dear friend, Ben's dear friend was was 135 00:07:07,040 --> 00:07:08,719 Speaker 3: my co host for the first couple of years, and 136 00:07:08,720 --> 00:07:11,960 Speaker 3: so that was Michael and me back then before Ben 137 00:07:12,040 --> 00:07:17,480 Speaker 3: came on board. That was in March, March tenth of 138 00:07:17,520 --> 00:07:21,360 Speaker 3: twenty twenty. Let's go forward a month later to April. 139 00:07:21,360 --> 00:07:23,360 Speaker 3: To April we had a little more information. I want 140 00:07:23,400 --> 00:07:25,840 Speaker 3: to listen. I want you to listen to Verdict laying 141 00:07:25,840 --> 00:07:30,640 Speaker 3: out the evidence that this virus not just escape from 142 00:07:30,640 --> 00:07:33,680 Speaker 3: a lab, but escape from the Wuhan Institute for Virology 143 00:07:34,120 --> 00:07:35,119 Speaker 3: in Wuhan, China. 144 00:07:35,240 --> 00:07:35,840 Speaker 2: Give a listen. 145 00:07:37,000 --> 00:07:39,440 Speaker 4: I want to turn for a moment from the economy 146 00:07:39,760 --> 00:07:42,880 Speaker 4: into the virus itself. And I want to take just 147 00:07:42,920 --> 00:07:46,200 Speaker 4: a slight victory lamp because I remember on this very show, 148 00:07:46,240 --> 00:07:50,880 Speaker 4: Senator on March tenth, over a month ago, you suggested 149 00:07:51,360 --> 00:07:54,080 Speaker 4: that there was very likely a link between the Wuhan 150 00:07:54,240 --> 00:07:58,840 Speaker 4: Institute of Virology and this virus that just so coincidentally 151 00:07:59,040 --> 00:08:02,280 Speaker 4: happened to occur or within a couple miles of that institute. 152 00:08:02,520 --> 00:08:04,920 Speaker 4: During that time, the mainstream media said this was crazy, 153 00:08:05,120 --> 00:08:07,680 Speaker 4: this was a conspiracy theory, There was no evidence of it. 154 00:08:07,960 --> 00:08:11,720 Speaker 4: Now we are getting multiple reports all saying that the 155 00:08:11,840 --> 00:08:15,640 Speaker 4: virus came from the lab. My question here is not 156 00:08:16,040 --> 00:08:17,760 Speaker 4: My point is not just to take a victory lab. 157 00:08:17,920 --> 00:08:21,160 Speaker 4: My question is did the US government know that the 158 00:08:21,200 --> 00:08:25,040 Speaker 4: Wuhan Institute of Virology was conducting this sort of dangerous 159 00:08:25,080 --> 00:08:27,960 Speaker 4: research and if we did know, why didn't we stop it? 160 00:08:28,480 --> 00:08:33,360 Speaker 3: Absolutely yes, the US government knew, and in fact, when 161 00:08:33,440 --> 00:08:35,400 Speaker 3: you and I brought this up on March tenth, over 162 00:08:35,559 --> 00:08:39,079 Speaker 3: a month ago, you're right, it was treated as tinfoil hat, 163 00:08:39,480 --> 00:08:44,559 Speaker 3: conspiracy theory, nut jobbery. Well, it turns out there wasn't 164 00:08:44,640 --> 00:08:46,880 Speaker 3: just one. There were two labs within miles a whare 165 00:08:46,920 --> 00:08:52,000 Speaker 3: this outbrook break occurred that were studying coronaviruses from bats, 166 00:08:52,720 --> 00:08:57,560 Speaker 3: and that there were internal State Department wires before this pandemic, 167 00:08:58,480 --> 00:09:02,040 Speaker 3: raising concerns about the security in those labs and that 168 00:09:02,120 --> 00:09:06,680 Speaker 3: an accidental a virus could escape and cause a global pandemic. 169 00:09:06,920 --> 00:09:08,880 Speaker 3: But I'll tell you it's worse than that. And let 170 00:09:08,960 --> 00:09:12,080 Speaker 3: me give you some breaking news right now, which is 171 00:09:12,760 --> 00:09:18,800 Speaker 3: the US government was funding the Chinese research at the 172 00:09:18,800 --> 00:09:19,439 Speaker 3: wu Hunt. 173 00:09:19,280 --> 00:09:20,360 Speaker 2: Institute of Virology. 174 00:09:21,200 --> 00:09:24,520 Speaker 3: Your taxpayer dollars and my taxpayer dollars, and let me 175 00:09:24,559 --> 00:09:28,240 Speaker 3: give you specifics that we just got today today in 176 00:09:28,240 --> 00:09:31,160 Speaker 3: inquiring of the National Institutes of Health, did any of 177 00:09:31,200 --> 00:09:34,640 Speaker 3: your money go to the Wuhan Institute of Virology. The 178 00:09:34,720 --> 00:09:38,320 Speaker 3: answer is yes. And here's what they told us in 179 00:09:38,360 --> 00:09:41,960 Speaker 3: writing today. They said, in fiscal year twenty nineteen, the 180 00:09:42,000 --> 00:09:45,840 Speaker 3: funding for the Wuhun Institute for Virology was seventy six 181 00:09:45,960 --> 00:09:49,560 Speaker 3: thousand dollars and the three hundred and one dollars seventy 182 00:09:49,600 --> 00:09:52,679 Speaker 3: six thousand, three hundred and one dollars. Now what did 183 00:09:52,720 --> 00:09:56,080 Speaker 3: it go to? And I'm repeating what NIH has told 184 00:09:56,120 --> 00:09:58,880 Speaker 3: me in writing. It went to It was part of 185 00:09:58,920 --> 00:10:04,160 Speaker 3: an overall three point seven million dollar funding program that 186 00:10:04,280 --> 00:10:12,480 Speaker 3: went to six years in sites in China, Thailand, Cambonia, Laos, Laos, Vietnam, Malaysia, Indonesia, 187 00:10:12,559 --> 00:10:15,400 Speaker 3: and Banmar And here's what they were studying. 188 00:10:15,440 --> 00:10:16,680 Speaker 2: These are Nah's words. 189 00:10:17,800 --> 00:10:26,640 Speaker 3: The project included studying viral diversity in animal parentheses, bats reservoirs, 190 00:10:26,720 --> 00:10:30,839 Speaker 3: surveying people that live in high risk communities for evidence 191 00:10:30,960 --> 00:10:39,000 Speaker 3: of bat coronavirus infection, and conducting laboratory experiments to analyze 192 00:10:39,080 --> 00:10:44,960 Speaker 3: and predict which newly discovered viruses pose the greatest threats 193 00:10:45,080 --> 00:10:47,000 Speaker 3: to human health center. 194 00:10:47,080 --> 00:10:49,880 Speaker 1: It's pretty clear. And that's part two of this prediction. 195 00:10:50,520 --> 00:10:51,480 Speaker 1: You were right as well. 196 00:10:53,320 --> 00:10:55,480 Speaker 3: Yeah, look and we now know this, like what we 197 00:10:55,520 --> 00:10:59,959 Speaker 3: were predicting then that was crazy fringe theory has now 198 00:11:00,000 --> 00:11:02,960 Speaker 3: now all been confirmed. Let's fast forward to February twenty 199 00:11:02,960 --> 00:11:07,319 Speaker 3: twenty three. February twenty twenty three, the Washington Post reported 200 00:11:07,679 --> 00:11:11,920 Speaker 3: FBI director said COVID nineteen quote most likely originated from 201 00:11:12,040 --> 00:11:15,520 Speaker 3: lab incident. That's the FBI's position now. June of twenty 202 00:11:15,559 --> 00:11:19,640 Speaker 3: twenty three, the New York reported New York Post reported quote, 203 00:11:20,080 --> 00:11:23,720 Speaker 3: US taxpayers supported research in three Chinese labs that included 204 00:11:23,800 --> 00:11:27,800 Speaker 3: risky gain of function experiments with coronaviruses at the Wuhan 205 00:11:27,880 --> 00:11:31,840 Speaker 3: Institute of Virology, the National Institution Institutes of Health NIH, 206 00:11:31,880 --> 00:11:36,120 Speaker 3: and the US Agency for International Development USAID provided two million, 207 00:11:36,160 --> 00:11:38,160 Speaker 3: one hundred and sixty eight thousand, three hundred and forty 208 00:11:38,160 --> 00:11:41,080 Speaker 3: five dollars in grant funding to the Chinese research institutions 209 00:11:41,360 --> 00:11:43,920 Speaker 3: between twenty fourteen and twenty twenty one. According to the 210 00:11:43,920 --> 00:11:48,079 Speaker 3: Government Accountability Office. The report shows one million, four hundred 211 00:11:48,080 --> 00:11:51,439 Speaker 3: and thirteen thousand, seven hundred and twenty dollars in subgrants 212 00:11:51,840 --> 00:11:55,760 Speaker 3: allocated by the Manhattan based EcoHealth Alliance went to the 213 00:11:55,800 --> 00:12:00,440 Speaker 3: Wuhan Institute of Virology, where hazardous research was conducted deducted 214 00:12:00,559 --> 00:12:04,960 Speaker 3: on bat coronaviruses. July of twenty twenty three, Reuters reported 215 00:12:05,040 --> 00:12:10,040 Speaker 3: quote US suspends federal funding to Wuhan lab over non compliance. 216 00:12:10,559 --> 00:12:15,880 Speaker 3: December twenty twenty four, Fox News COVID most likely leaked 217 00:12:15,920 --> 00:12:20,240 Speaker 3: from Wuhan lab social distancing not based on science, select 218 00:12:20,240 --> 00:12:24,199 Speaker 3: committee fines And then finally December twenty sixth of twenty 219 00:12:24,240 --> 00:12:27,000 Speaker 3: twenty four, just a few days ago, The Wall Street 220 00:12:27,040 --> 00:12:29,640 Speaker 3: Journal wrote the bomb Setshell story that we did an 221 00:12:29,760 --> 00:12:34,959 Speaker 3: entire podcast on entitled Behind Closed Doors. The Spy World 222 00:12:35,040 --> 00:12:38,640 Speaker 3: scientists who argued COVID was a lab leak. Well, there 223 00:12:38,640 --> 00:12:41,680 Speaker 3: were scientists arguing that Behind Closed Doors, but there was 224 00:12:41,720 --> 00:12:45,200 Speaker 3: also the Verdict podcast making the argument, laying out the 225 00:12:45,280 --> 00:12:47,520 Speaker 3: facts right at the very beginning and I gotta say 226 00:12:47,520 --> 00:12:50,680 Speaker 3: on COVID, we were proved exactly right. 227 00:12:51,600 --> 00:12:55,320 Speaker 1: Final question on this prediction looking forward, do you think 228 00:12:55,360 --> 00:12:58,240 Speaker 1: we're going to learn a lot more about Fauci, the 229 00:12:58,320 --> 00:13:03,000 Speaker 1: cover up, and COVID when Donald Trump is inaugurated after 230 00:13:03,120 --> 00:13:04,000 Speaker 1: January twentieth. 231 00:13:05,200 --> 00:13:07,560 Speaker 3: So I do, and I am urging the incoming Trump 232 00:13:07,600 --> 00:13:11,240 Speaker 3: administration to engage in full transparency. That's a discussion I 233 00:13:11,240 --> 00:13:14,520 Speaker 3: have had with Pam Bondi at the Department of Justice. 234 00:13:14,559 --> 00:13:17,640 Speaker 3: That's a discussion I've had with with Cash Pttel who 235 00:13:17,679 --> 00:13:19,760 Speaker 3: will be going to the FBI. It's a discussion I 236 00:13:19,800 --> 00:13:22,599 Speaker 3: will have next week with RFK Junior, who will be 237 00:13:22,640 --> 00:13:25,640 Speaker 3: coming in as HHS Secretary. Every one of them, I 238 00:13:25,720 --> 00:13:29,840 Speaker 3: am urging, use full transparency, make it public, let the 239 00:13:29,920 --> 00:13:32,600 Speaker 3: public know. And I'm going to keep pressing them to 240 00:13:32,640 --> 00:13:34,800 Speaker 3: do that. And I think that they're going to follow through. 241 00:13:34,840 --> 00:13:37,679 Speaker 3: We're going to know a lot more. That is a 242 00:13:37,760 --> 00:13:38,319 Speaker 3: very good thing. 243 00:13:39,559 --> 00:13:42,960 Speaker 1: Let's move on to another prediction. This may be one 244 00:13:42,960 --> 00:13:46,160 Speaker 1: of my favorite predictions that we've ever made here on 245 00:13:46,200 --> 00:13:49,240 Speaker 1: this show, because when we said it, we got a 246 00:13:49,240 --> 00:13:52,080 Speaker 1: lot of pushback, and there are a lot of people 247 00:13:52,160 --> 00:13:56,360 Speaker 1: that said what you were saying was just absurd. We 248 00:13:56,480 --> 00:13:58,720 Speaker 1: had our tenfoil hats on again. I mean, there were 249 00:13:58,760 --> 00:14:01,640 Speaker 1: people that were angry over this, and that was the 250 00:14:01,679 --> 00:14:06,520 Speaker 1: big prediction that you made, that Joe Biden would not 251 00:14:06,840 --> 00:14:12,080 Speaker 1: be the twenty twenty four Democratic nominee. 252 00:14:12,720 --> 00:14:15,880 Speaker 3: Well, that's right, And I made two related predictions. Number One, 253 00:14:16,160 --> 00:14:19,800 Speaker 3: early on, I said, I believe Joe Biden would not 254 00:14:20,040 --> 00:14:22,360 Speaker 3: be the Democrat nominee. He would not be on the 255 00:14:22,400 --> 00:14:26,320 Speaker 3: ballot in twenty twenty four. I also predicted, I said, 256 00:14:26,400 --> 00:14:29,160 Speaker 3: the only people there were When people were later talking 257 00:14:29,160 --> 00:14:32,480 Speaker 3: about replacing him with Gavin Newsom or Gretchen Witmer some 258 00:14:32,560 --> 00:14:35,960 Speaker 3: other people, I said, no, that will never happen. The 259 00:14:36,040 --> 00:14:41,120 Speaker 3: Democrat Party is a bean counting party. Next in line 260 00:14:41,240 --> 00:14:45,920 Speaker 3: is Kamala Harris, and the Democrat Party cannot cannot push 261 00:14:45,920 --> 00:14:49,840 Speaker 3: her aside, cannot push an African American woman aside for 262 00:14:49,920 --> 00:14:53,600 Speaker 3: a white guy like Gavin Newsom. Their party would spontaneously 263 00:14:53,640 --> 00:14:56,080 Speaker 3: combust if they tried to do that. So I said, 264 00:14:56,600 --> 00:15:00,600 Speaker 3: the only people who could replace Joe Biden are Kamala 265 00:15:00,680 --> 00:15:04,160 Speaker 3: Harris or Michelle Obama. And I did lay out that 266 00:15:04,200 --> 00:15:07,080 Speaker 3: I thought Michelle Obama if I were a Democrat, I 267 00:15:07,080 --> 00:15:10,080 Speaker 3: would much prefer Michelle Obama to Kamala Harris, because Kamala Harris, 268 00:15:10,080 --> 00:15:12,880 Speaker 3: as the whole world is seen, is a lousy candidate. 269 00:15:13,440 --> 00:15:15,880 Speaker 3: So if you're a Democrat who wants to win and 270 00:15:15,920 --> 00:15:18,880 Speaker 3: you're stuck with Kamala Harris, there's only one human being 271 00:15:18,920 --> 00:15:23,400 Speaker 3: who can push Kamala Harris aside. That is Michelle Obama. 272 00:15:23,440 --> 00:15:26,680 Speaker 3: Now what I think happened. I think they tried with Michelle. 273 00:15:26,720 --> 00:15:29,880 Speaker 3: I think Michelle said no. And so prediction number one 274 00:15:29,920 --> 00:15:32,120 Speaker 3: that Joe Biden would not be the nominee that came 275 00:15:32,160 --> 00:15:35,600 Speaker 3: one hundred percent correct. Prediction number two that he would 276 00:15:35,600 --> 00:15:38,960 Speaker 3: be replaced either by Kamala Harris or Michelle Obama, that 277 00:15:39,680 --> 00:15:42,840 Speaker 3: came true as well, although I did think Michelle Obama 278 00:15:43,280 --> 00:15:47,240 Speaker 3: had a very real possibility. So let's listen. This first 279 00:15:47,280 --> 00:15:52,040 Speaker 3: excerpt is from September eighteenth, twenty twenty three, so more 280 00:15:52,080 --> 00:15:55,720 Speaker 3: than a year a year and three months ago where 281 00:15:55,760 --> 00:15:59,960 Speaker 3: I laid out laid out this possibility and give a listen. 282 00:16:00,560 --> 00:16:04,440 Speaker 3: So here's the scenario that I think is perhaps most 283 00:16:04,600 --> 00:16:09,960 Speaker 3: likely and most dangerous. In August of twenty twenty four, 284 00:16:10,120 --> 00:16:16,360 Speaker 3: the Democrat Kingmakers jettison Joe Biden and parachute in Michelle Obama, 285 00:16:16,880 --> 00:16:18,720 Speaker 3: and I want you to pause and reflect on her. 286 00:16:18,760 --> 00:16:21,040 Speaker 1: So I'm pausing, and I'm reflecting, as we said, and 287 00:16:21,080 --> 00:16:22,560 Speaker 1: so is everybody else listening right now. 288 00:16:23,400 --> 00:16:28,280 Speaker 2: I view this as a very serious danger. I'm smiling 289 00:16:28,320 --> 00:16:29,480 Speaker 2: right now because it terrifies me. 290 00:16:29,520 --> 00:16:31,280 Speaker 1: And I also could totally see this happening. 291 00:16:31,520 --> 00:16:36,520 Speaker 3: So, Michelle Obama, number one, you don't infuriate African American women, 292 00:16:36,560 --> 00:16:39,960 Speaker 3: which is a critical part of the constituency that Democrats 293 00:16:39,960 --> 00:16:42,960 Speaker 3: are relying on to win. But number two, you avoid 294 00:16:43,080 --> 00:16:44,920 Speaker 3: the problem if you pick from any of the four. 295 00:16:45,280 --> 00:16:49,120 Speaker 3: The other three are pissed because they're all, to some 296 00:16:49,320 --> 00:16:52,760 Speaker 3: extent peers, they're rivals, they're all jabbin knives at each other. 297 00:16:53,400 --> 00:16:57,600 Speaker 3: Michelle Obama, because she was first Lady, has the ability 298 00:16:57,640 --> 00:17:01,840 Speaker 3: to kind of parachute in above all four and say, hey, 299 00:17:01,840 --> 00:17:04,560 Speaker 3: we're not picking among any of you. You guys can 300 00:17:04,600 --> 00:17:06,560 Speaker 3: all fight it out. Next time. You're all gonna be 301 00:17:06,600 --> 00:17:10,280 Speaker 3: on the same level. We're coming. This is the Obamas 302 00:17:10,320 --> 00:17:13,199 Speaker 3: saving the day. And I think in terms of a 303 00:17:13,320 --> 00:17:20,959 Speaker 3: solution that unifies Democrats, there ain't nothing like that. I 304 00:17:21,000 --> 00:17:23,960 Speaker 3: also think Michelle is not all that eager to run 305 00:17:24,000 --> 00:17:27,960 Speaker 3: for president, but to parachute in in August of twenty four, 306 00:17:27,960 --> 00:17:30,960 Speaker 3: a couple of months before the presidency and suddenly wake 307 00:17:31,040 --> 00:17:31,960 Speaker 3: up and be president. 308 00:17:32,240 --> 00:17:33,600 Speaker 2: Not not a bad gig. 309 00:17:33,640 --> 00:17:35,439 Speaker 3: It's not a bad gig at all. Now, would she 310 00:17:35,640 --> 00:17:39,520 Speaker 3: do it? I don't know. I've met Michelle, but I 311 00:17:39,560 --> 00:17:42,000 Speaker 3: don't know her personally in any meaningful way. 312 00:17:42,359 --> 00:17:44,000 Speaker 2: I don't know if she would do it. 313 00:17:44,080 --> 00:17:49,560 Speaker 3: I do think Barack Obama is already running the Biden administration. 314 00:17:49,640 --> 00:17:52,439 Speaker 3: I think he is already the puppet master behind this 315 00:17:52,560 --> 00:17:54,879 Speaker 3: Biden White House. I don't think Joe Biden is the 316 00:17:54,880 --> 00:17:58,840 Speaker 3: decision maker. And so when I see the media turning 317 00:17:58,840 --> 00:18:02,520 Speaker 3: on Joe Biden right now now, I think the odds 318 00:18:02,520 --> 00:18:07,040 Speaker 3: of Michelle Obama parachuting in in August of twenty twenty 319 00:18:07,080 --> 00:18:11,399 Speaker 3: four have risen dramatically, and that ought to scare the 320 00:18:11,440 --> 00:18:16,280 Speaker 3: hell out anyone who is unhappy about the direction this 321 00:18:16,359 --> 00:18:19,080 Speaker 3: country is going and doesn't want us to go even 322 00:18:19,200 --> 00:18:20,680 Speaker 3: crazier in an even worse. 323 00:18:20,520 --> 00:18:22,520 Speaker 2: Direct, in an even worse direction. 324 00:18:23,160 --> 00:18:26,000 Speaker 3: Well, and there you heard in September of twenty twenty 325 00:18:26,000 --> 00:18:28,840 Speaker 3: three making the prediction that Joe Biden would be jettisoned. 326 00:18:28,880 --> 00:18:31,240 Speaker 3: And by the way, at the time that happened, very 327 00:18:31,280 --> 00:18:33,480 Speaker 3: few people were making that prediction. When we put that 328 00:18:33,520 --> 00:18:37,119 Speaker 3: podcast out, it drove a lot of news. There were headlines. 329 00:18:37,119 --> 00:18:41,400 Speaker 3: There were people that were shocked when I laid out 330 00:18:41,440 --> 00:18:45,840 Speaker 3: that Biden was not capable, that his mental capacity had diminished, 331 00:18:46,640 --> 00:18:48,359 Speaker 3: that he was not going to be the nominee, that 332 00:18:48,400 --> 00:18:51,520 Speaker 3: the Democrats realized it, that they were going to jettison him, 333 00:18:51,720 --> 00:18:55,440 Speaker 3: that the media ridiculed it. But you go forward to 334 00:18:55,480 --> 00:18:58,720 Speaker 3: February of twenty twenty four, I went on Maria Bartiromo. 335 00:18:58,880 --> 00:19:01,159 Speaker 3: I said, I think Obama's driving the train, which is 336 00:19:01,200 --> 00:19:03,200 Speaker 3: which is also what I said back in September twenty 337 00:19:03,240 --> 00:19:08,800 Speaker 3: twenty three. John Harwood, who you know, was the former 338 00:19:08,880 --> 00:19:12,240 Speaker 3: journalist for the Wall Street Journal and for NBC, and 339 00:19:12,240 --> 00:19:17,240 Speaker 3: who's a hard leftist, a vicious leftist. He retweeted my 340 00:19:17,359 --> 00:19:22,360 Speaker 3: comments on Maria Barbaramo and his entire commentary was quote, 341 00:19:23,160 --> 00:19:29,200 Speaker 3: impossibly stupid conversation. So that was his learned journalistic view, 342 00:19:29,520 --> 00:19:34,800 Speaker 3: is that it was impossibly stupid to say that. I 343 00:19:34,840 --> 00:19:39,480 Speaker 3: will tell you just in November of this year, I 344 00:19:39,560 --> 00:19:42,960 Speaker 3: retweeted Harwood shot at me and I just said, I 345 00:19:43,040 --> 00:19:45,920 Speaker 3: want to know why nobody trusts the media. Just nine 346 00:19:45,920 --> 00:19:50,200 Speaker 3: months ago, a fake quote journalist claimed it was quote 347 00:19:50,280 --> 00:19:54,800 Speaker 3: impossibly stupid to observe that Joe Biden was not mentally 348 00:19:54,840 --> 00:20:01,760 Speaker 3: competent to be president. Now everybody admits it. What say you, 349 00:20:02,480 --> 00:20:07,400 Speaker 3: John Jay Harwood? Of course Harwood didn't respond at all. 350 00:20:07,480 --> 00:20:11,119 Speaker 3: He ignored it. All right, Let's go forward though. Not 351 00:20:11,200 --> 00:20:13,800 Speaker 3: only did we lay it out in September of twenty 352 00:20:13,840 --> 00:20:16,960 Speaker 3: twenty three, but then fast forward to the debate, the 353 00:20:17,040 --> 00:20:22,000 Speaker 3: debate between Joe Biden and Donald Trump that was on 354 00:20:22,080 --> 00:20:25,480 Speaker 3: June twenty eighth, twenty twenty four. You and I recorded 355 00:20:25,720 --> 00:20:29,800 Speaker 3: a Verdict podcast immediately after the debate. We went live, 356 00:20:29,920 --> 00:20:33,200 Speaker 3: recorded it that night, and give a listen to what 357 00:20:33,240 --> 00:20:37,720 Speaker 3: the Verdict podcast said. The night of the debate Center Cruz. 358 00:20:38,200 --> 00:20:42,280 Speaker 1: I didn't think it could actually be this bad. It 359 00:20:42,359 --> 00:20:44,960 Speaker 1: was worse than even I think either of us could 360 00:20:44,960 --> 00:20:49,400 Speaker 1: have imagined. And now the Democratic Party is screaming replaced 361 00:20:49,400 --> 00:20:50,159 Speaker 1: the president. 362 00:20:50,560 --> 00:20:52,320 Speaker 3: Well, you and I are sitting here at is ten 363 00:20:52,440 --> 00:20:56,480 Speaker 3: seventeen pm Texas time, at is eleven seventeen pm East 364 00:20:56,520 --> 00:20:57,040 Speaker 3: Coast time. 365 00:20:57,080 --> 00:20:57,840 Speaker 2: The night of the debate. 366 00:20:57,880 --> 00:21:01,520 Speaker 3: The debate just ended to say, we have just witnessed 367 00:21:01,520 --> 00:21:04,480 Speaker 3: what I believe is the most consequential presidential debate in 368 00:21:04,640 --> 00:21:09,240 Speaker 3: US history. Sometimes debate change debates change things. Sometimes they don't. 369 00:21:09,320 --> 00:21:13,959 Speaker 3: I believe to bite tonight's debate change things fundamentally, And 370 00:21:14,000 --> 00:21:17,159 Speaker 3: I believe the odds have now skyrocketed. I believe the 371 00:21:17,200 --> 00:21:20,920 Speaker 3: odds are north of eighty percent that the Democrat Party 372 00:21:20,960 --> 00:21:24,160 Speaker 3: will remove Joe Biden from the ticket and replace him. 373 00:21:24,160 --> 00:21:26,600 Speaker 3: And I believe they are likely to replace Joe Biden 374 00:21:27,000 --> 00:21:31,840 Speaker 3: with Michelle Obama because Biden did so disastrously badly tonight 375 00:21:32,320 --> 00:21:36,240 Speaker 3: that Democrats across the country are in utter freefall and 376 00:21:36,320 --> 00:21:37,080 Speaker 3: complete panic. 377 00:21:37,080 --> 00:21:39,359 Speaker 2: We're going to break all that down tonight. Yeah. 378 00:21:39,400 --> 00:21:41,719 Speaker 1: And by the way, this was a prediction that you 379 00:21:41,880 --> 00:21:46,840 Speaker 1: made on this show back in September of twenty twenty three, 380 00:21:47,320 --> 00:21:50,800 Speaker 1: that the Democratic king makers could bring in Michelle Obama 381 00:21:50,840 --> 00:21:56,440 Speaker 1: will break all that down center yet another prediction there Again, 382 00:21:56,520 --> 00:21:58,240 Speaker 1: you go back and look at the night you made 383 00:21:58,240 --> 00:22:00,359 Speaker 1: it right at that debate, and you said there's no 384 00:22:00,440 --> 00:22:02,560 Speaker 1: way he's going to be on the ticket, and it 385 00:22:02,640 --> 00:22:03,720 Speaker 1: was absolutely correct. 386 00:22:04,960 --> 00:22:07,280 Speaker 3: Well, to be fair, what I said was the odds 387 00:22:07,280 --> 00:22:09,400 Speaker 3: were north of eighty percent that he would be pulled 388 00:22:09,440 --> 00:22:12,919 Speaker 3: off the ticket. That prediction that Joe Biden would be 389 00:22:12,960 --> 00:22:16,440 Speaker 3: removed from the ticket, which by the way, is unprecedented 390 00:22:16,720 --> 00:22:20,720 Speaker 3: and was almost universally ridiculed in the media. That prediction 391 00:22:20,880 --> 00:22:24,120 Speaker 3: came one hundred percent true. I also articulated there were 392 00:22:24,200 --> 00:22:26,840 Speaker 3: only two people who could replace Hi, Kamala Harris or 393 00:22:26,840 --> 00:22:30,320 Speaker 3: Michelle Obama. I believe Michelle Obama was more likely. The 394 00:22:30,359 --> 00:22:32,720 Speaker 3: Michelle Obama thing did not come to pass, but the 395 00:22:32,800 --> 00:22:37,280 Speaker 3: Kamala Harris thing did. And in fact, I predicted that 396 00:22:37,359 --> 00:22:42,120 Speaker 3: the Democrat Kingmakers with jettison Biden in August of twenty 397 00:22:42,240 --> 00:22:46,720 Speaker 3: twenty four. They in fact did so on July twenty 398 00:22:46,760 --> 00:22:49,200 Speaker 3: first of twenty twenty four, so I was ten days 399 00:22:49,200 --> 00:22:51,760 Speaker 3: off in terms of predicting it. And by the way, 400 00:22:51,760 --> 00:22:54,119 Speaker 3: to be clear, I predicted that way back in September 401 00:22:54,119 --> 00:22:58,280 Speaker 3: of twenty twenty three, so over a year earlier. I 402 00:22:58,359 --> 00:23:01,400 Speaker 3: predicted within ten days when they would throw Biden off 403 00:23:01,440 --> 00:23:04,600 Speaker 3: the ballot. And I'm going to make actually a brand 404 00:23:04,680 --> 00:23:08,320 Speaker 3: new prediction here. I'm going to predict that in the 405 00:23:08,359 --> 00:23:13,239 Speaker 3: next year or two, we're going to get confirmation that 406 00:23:13,320 --> 00:23:16,680 Speaker 3: there was serious outreach to Michelle Obama to see if 407 00:23:16,720 --> 00:23:20,160 Speaker 3: she was willing to replace Joe Biden on the ballot 408 00:23:20,800 --> 00:23:24,000 Speaker 3: and that Michelle Obama said, no, I don't know that, 409 00:23:24,080 --> 00:23:27,760 Speaker 3: but my instinct, my judgment tells me that happened. And 410 00:23:28,040 --> 00:23:29,719 Speaker 3: we'll see in the next year or two if that 411 00:23:29,760 --> 00:23:33,840 Speaker 3: gets confirmed. We'll have a subsequent podcast. If that gets 412 00:23:33,880 --> 00:23:38,160 Speaker 3: confirmed publicly, we'll go back and revisit it. Regardless. Prediction 413 00:23:38,280 --> 00:23:42,280 Speaker 3: number three, Joe Biden will not be the nominee. Check true. 414 00:23:42,320 --> 00:23:45,800 Speaker 3: Prediction number four Joe Biden will be replaced by either 415 00:23:45,880 --> 00:23:51,280 Speaker 3: Kamala Harris or Michelle Obama. Check true. So that's four predictions. 416 00:23:51,840 --> 00:23:53,440 Speaker 3: Let's move on to prediction number five. 417 00:23:54,640 --> 00:23:57,719 Speaker 1: Number five is another big one here, and that is 418 00:23:57,880 --> 00:24:04,120 Speaker 1: the prediction that Joe Biden would pardon death Row inmates. 419 00:24:04,520 --> 00:24:07,080 Speaker 1: You said that it was gonna happen, and it did. 420 00:24:07,880 --> 00:24:12,639 Speaker 1: Plus the even more I would say disgusting deal that 421 00:24:12,800 --> 00:24:17,199 Speaker 1: was given out to Khalid Sheik Muhammad, the mastermind of 422 00:24:17,359 --> 00:24:21,320 Speaker 1: nine to eleven to spare his life, the mastermind of 423 00:24:21,400 --> 00:24:23,760 Speaker 1: nine to eleven, and a man that was also before 424 00:24:23,800 --> 00:24:27,200 Speaker 1: even nine to eleven involved in many other terrorist attack 425 00:24:27,320 --> 00:24:31,520 Speaker 1: that killed women and children and the elderly innocent bystanders 426 00:24:31,520 --> 00:24:32,600 Speaker 1: that he did around the world. 427 00:24:34,119 --> 00:24:37,040 Speaker 3: Well, and this is a prediction that we made on 428 00:24:37,119 --> 00:24:41,159 Speaker 3: August eighteenth, twenty twenty three. Give a listen to what 429 00:24:41,200 --> 00:24:44,199 Speaker 3: we said back in August of twenty three. Way, I'm 430 00:24:44,200 --> 00:24:47,840 Speaker 3: going to make a prediction as well, which is that 431 00:24:49,080 --> 00:24:52,560 Speaker 3: these are not the only mass murderers that I think 432 00:24:52,600 --> 00:24:56,000 Speaker 3: this administration is going to refuse to follow federal law 433 00:24:56,400 --> 00:24:57,879 Speaker 3: and impose the death bet. I'm going to make a 434 00:24:57,880 --> 00:25:01,639 Speaker 3: prediction right now, which is Joe Biden, before he leaves 435 00:25:01,680 --> 00:25:07,040 Speaker 3: the White House, will commute the sentence of every federal 436 00:25:07,080 --> 00:25:08,440 Speaker 3: prisoner on death row. 437 00:25:09,040 --> 00:25:10,880 Speaker 2: That he will do it for every one of them. 438 00:25:11,160 --> 00:25:16,440 Speaker 3: And that includes It includes the white supremacist and Nazi 439 00:25:17,280 --> 00:25:21,199 Speaker 3: who murdered nine African Americans at the Mother Emmanuel Ame 440 00:25:21,440 --> 00:25:25,439 Speaker 3: Church in Charleston, South Carolina, in a horrific hate crime. 441 00:25:25,520 --> 00:25:29,400 Speaker 3: He's on federal death row. It includes the Boston bomber 442 00:25:29,960 --> 00:25:33,040 Speaker 3: who murdered innocent people by exploding a bomb at the 443 00:25:33,040 --> 00:25:36,560 Speaker 3: Boston Marathon. One of the two brothers is still alive. 444 00:25:36,640 --> 00:25:41,679 Speaker 3: He's on death row. And my prediction right now is 445 00:25:41,800 --> 00:25:46,879 Speaker 3: Joe Biden intends to spare every one of these mass murderers, 446 00:25:46,920 --> 00:25:50,679 Speaker 3: every one of them. Many of them are racist, bigoted, 447 00:25:50,800 --> 00:25:55,360 Speaker 3: homicidal lunatics. And I think we're going to see him 448 00:25:55,400 --> 00:25:58,040 Speaker 3: commute all of their sentences. 449 00:25:57,560 --> 00:25:58,760 Speaker 2: Before he leaves the White House. 450 00:25:58,880 --> 00:26:00,760 Speaker 1: Well, if you want, if you won't take out the 451 00:26:00,800 --> 00:26:03,879 Speaker 1: mastermind of nine to eleven and you won't give him 452 00:26:03,920 --> 00:26:06,679 Speaker 1: the death penalty, is there anyone that you'll give it to? 453 00:26:07,320 --> 00:26:10,480 Speaker 2: I mean, it doesn't. It doesn't get any worse than this. 454 00:26:11,560 --> 00:26:14,600 Speaker 1: It doesn't. And yet that's exactly what he's done. 455 00:26:14,680 --> 00:26:17,680 Speaker 3: Well, so my prediction again in August of twenty three, 456 00:26:17,800 --> 00:26:20,439 Speaker 3: is that he would he would remove the death penalty, 457 00:26:20,440 --> 00:26:22,399 Speaker 3: that he would commute the death penalty for the federal 458 00:26:22,440 --> 00:26:25,560 Speaker 3: death row prisoners that has come to pass. Now, to 459 00:26:25,560 --> 00:26:30,280 Speaker 3: be clear, this prediction proves slightly off. I predicted that 460 00:26:30,359 --> 00:26:32,960 Speaker 3: he would commute the sentence of every single federal death 461 00:26:33,000 --> 00:26:37,760 Speaker 3: row prisoner. He instead commuted the sentence of thirty seven 462 00:26:38,400 --> 00:26:41,840 Speaker 3: out of the forty federal death row inmates. And so 463 00:26:41,880 --> 00:26:44,159 Speaker 3: there were three he did not. And interestingly enough, the 464 00:26:44,160 --> 00:26:47,320 Speaker 3: three he did not are the three that I identified 465 00:26:47,960 --> 00:26:51,280 Speaker 3: in October, or rather in August of twenty twenty three. 466 00:26:51,600 --> 00:26:54,520 Speaker 3: So the three he did not were the murderer at 467 00:26:54,560 --> 00:26:59,000 Speaker 3: the Tree of Life Synagogue in Pittsburgh, the murderer at 468 00:26:59,000 --> 00:27:02,639 Speaker 3: the Mother Emmanuel church in Charleston, South Carolina, and the 469 00:27:02,640 --> 00:27:05,280 Speaker 3: Boston Marathon bomber. And those three are the only three 470 00:27:05,359 --> 00:27:07,960 Speaker 3: he did not. Now, I identified those three because they're 471 00:27:08,000 --> 00:27:11,880 Speaker 3: the most horribly egregious, they're the most famous and infamous. 472 00:27:12,320 --> 00:27:16,600 Speaker 3: That they are. Two of the three at least are vicious, 473 00:27:16,800 --> 00:27:20,960 Speaker 3: unrepentant racists. And so I have to say my prediction 474 00:27:21,000 --> 00:27:23,240 Speaker 3: it was not one hundred percent right. It was ninety 475 00:27:23,240 --> 00:27:27,040 Speaker 3: two point five percent right, because instead of commuting forty 476 00:27:27,680 --> 00:27:30,720 Speaker 3: death sentences, Biden commuted thirty seven out of forty, and 477 00:27:30,760 --> 00:27:34,240 Speaker 3: he left the three most egregious and famous ones off 478 00:27:34,240 --> 00:27:37,320 Speaker 3: the table. Why because they knew that the press was 479 00:27:37,359 --> 00:27:41,359 Speaker 3: so utterly corrupt that without those three that they would 480 00:27:41,400 --> 00:27:44,240 Speaker 3: get almost no criticism for it. That would you would 481 00:27:44,280 --> 00:27:48,679 Speaker 3: just go under the carpet, not really be seen. And 482 00:27:48,720 --> 00:27:53,560 Speaker 3: I have to say I underestimated the incredible cynicism. 483 00:27:54,440 --> 00:27:58,080 Speaker 2: And I got to say, nonetheless. 484 00:27:57,480 --> 00:28:01,880 Speaker 3: That that is a profound disrespect for the rule of law. 485 00:28:02,320 --> 00:28:05,840 Speaker 3: Among those that that Biden did commute the sentences was 486 00:28:05,840 --> 00:28:11,080 Speaker 3: was a Nazi and an Aryan Brotherhood racist. Uh. You know, 487 00:28:11,200 --> 00:28:13,960 Speaker 3: Joe Biden stepped forward and said, hey, we're the Democrat Party, 488 00:28:14,000 --> 00:28:17,280 Speaker 3: We're here. We're here for Nazis and klansmen. 489 00:28:17,880 --> 00:28:19,200 Speaker 2: I mean it, but. 490 00:28:21,520 --> 00:28:25,919 Speaker 3: Ninety two point five percent prediction correct. And sadly, another 491 00:28:25,960 --> 00:28:31,520 Speaker 3: element of this prediction just just became confirmed moments ago. 492 00:28:31,800 --> 00:28:35,919 Speaker 3: So so this episode, we were talking about the plans 493 00:28:36,600 --> 00:28:39,520 Speaker 3: to spare the life of Khalead shake Mohammad, the mastermind 494 00:28:39,560 --> 00:28:44,200 Speaker 3: of nine to eleven, and this podcast put enormous public 495 00:28:44,240 --> 00:28:46,840 Speaker 3: pressure on the White House. The White House Koreem John 496 00:28:46,880 --> 00:28:49,480 Speaker 3: Pierre was asked about it, and the heat became so 497 00:28:49,680 --> 00:28:52,880 Speaker 3: much that they backed off of it. Well, sadly, the 498 00:28:52,920 --> 00:28:56,160 Speaker 3: news just broke that they're going back to trying to 499 00:28:56,240 --> 00:28:59,800 Speaker 3: spare Khalead shak Muhammad. They're trying to do it literally 500 00:28:59,840 --> 00:29:03,000 Speaker 3: on the way out the door. And the contempt that 501 00:29:03,120 --> 00:29:05,840 Speaker 3: Joe Biden, this entire White House has for the voters. 502 00:29:06,200 --> 00:29:08,480 Speaker 3: They are trying to break everything on the way out 503 00:29:08,480 --> 00:29:10,920 Speaker 3: the door. They're trying to frustrate Donald Trump every way 504 00:29:10,960 --> 00:29:15,440 Speaker 3: they can. They are such vicious partisans that there is 505 00:29:15,640 --> 00:29:20,440 Speaker 3: no respect for the Constitution, for the rule of law, 506 00:29:20,560 --> 00:29:23,360 Speaker 3: no respect for the voters. They don't care what the 507 00:29:23,440 --> 00:29:27,280 Speaker 3: voters said in November. They are trying to literally break 508 00:29:27,400 --> 00:29:29,760 Speaker 3: everything on the way out the door, and I got 509 00:29:29,840 --> 00:29:32,600 Speaker 3: to say, it is grotesque. 510 00:29:32,840 --> 00:29:36,360 Speaker 1: It really is. We're gonna have part two of our predictions. 511 00:29:36,400 --> 00:29:40,120 Speaker 1: We will continue this on Friday morning, so may make 512 00:29:40,160 --> 00:29:43,240 Speaker 1: sure you hit that like subscribe auto download button and 513 00:29:43,280 --> 00:29:46,280 Speaker 1: we will keep giving you hard hitting predictions so you 514 00:29:46,320 --> 00:29:49,320 Speaker 1: know what's actually gonna be happening in this new year. 515 00:29:49,400 --> 00:29:51,600 Speaker 1: It is going to be a very fun one, especially 516 00:29:51,640 --> 00:29:54,040 Speaker 1: with Trump and office, Republicans control of the House and 517 00:29:54,080 --> 00:29:56,160 Speaker 1: the Senate, and we're gonna have a lot of predictions 518 00:29:56,160 --> 00:29:59,000 Speaker 1: for you, so make sure that subscriber auto download button 519 00:29:59,280 --> 00:30:01,560 Speaker 1: and on Friday will have part two of this. Also, 520 00:30:01,600 --> 00:30:04,600 Speaker 1: don't forget grab my podcast, the Ben Ferguson Podcasts on 521 00:30:04,720 --> 00:30:07,320 Speaker 1: those in between days and I'll keep you update on 522 00:30:07,360 --> 00:30:09,480 Speaker 1: the latest breaking news as well. And we'll see you 523 00:30:09,520 --> 00:30:10,760 Speaker 1: back here Friday morning.