1 00:00:01,120 --> 00:00:04,439 Speaker 1: Welcome. It is Verdict with Senator Ted Cruz Ben Ferguson 2 00:00:04,519 --> 00:00:07,480 Speaker 1: with you. And let me just say this before we 3 00:00:07,560 --> 00:00:10,480 Speaker 1: start this show today. If you miss Part one of 4 00:00:10,520 --> 00:00:15,680 Speaker 1: our predictions that came right in twenty twenty four and 5 00:00:15,800 --> 00:00:18,840 Speaker 1: heading into twenty twenty five, go back and listen. There's 6 00:00:18,840 --> 00:00:21,919 Speaker 1: some big predictions we made in Part one, which came 7 00:00:21,960 --> 00:00:25,239 Speaker 1: out on New Year's Day on Wednesday. It is Friday now, obviously, 8 00:00:25,320 --> 00:00:28,080 Speaker 1: and we are continuing with our predictions with Part two. 9 00:00:28,760 --> 00:00:30,800 Speaker 1: And one of the biggest stories of twenty twenty four, 10 00:00:31,240 --> 00:00:35,640 Speaker 1: especially a center when Joe Biden was a candidate, was 11 00:00:36,040 --> 00:00:38,680 Speaker 1: Hunter Biden and the Biden crime family and the corruption there. 12 00:00:38,920 --> 00:00:41,800 Speaker 1: And let's start with one of the biggest topics of 13 00:00:41,840 --> 00:00:44,320 Speaker 1: the year in twenty twenty four, and that was Joe Biden, 14 00:00:44,960 --> 00:00:47,960 Speaker 1: his son, their relationship and the prediction you made that 15 00:00:48,040 --> 00:00:50,440 Speaker 1: Joe Biden would pardon Hunter Biden. 16 00:00:51,200 --> 00:00:53,960 Speaker 2: Well, let me say this podcast and also the one 17 00:00:54,000 --> 00:00:57,080 Speaker 2: we did on Wednesday of this week, we're going through 18 00:00:57,480 --> 00:01:03,080 Speaker 2: ten predictions, clear explo predictions made on Verdict. Most of 19 00:01:03,120 --> 00:01:08,160 Speaker 2: these predictions at the time we made them were widely ridiculed, 20 00:01:08,160 --> 00:01:12,199 Speaker 2: were extremely unpopular. They were leaning in and taking a risk. 21 00:01:12,280 --> 00:01:16,200 Speaker 2: Much of the media would not report on them, and 22 00:01:16,240 --> 00:01:18,440 Speaker 2: to the extent they reported on the predictions we made, 23 00:01:18,560 --> 00:01:22,440 Speaker 2: we were widely ridiculed for making these predictions. All of 24 00:01:22,480 --> 00:01:25,120 Speaker 2: them have come true. And listen if you want to 25 00:01:25,160 --> 00:01:26,959 Speaker 2: know what's going to happen in twenty twenty five and 26 00:01:26,959 --> 00:01:29,800 Speaker 2: twenty twenty six in the years to come. This is 27 00:01:29,840 --> 00:01:32,840 Speaker 2: a podcast. I take risks, I lean forward, I give 28 00:01:32,880 --> 00:01:36,320 Speaker 2: my best judgment. I make predictions. I will say we 29 00:01:36,400 --> 00:01:40,039 Speaker 2: talked about in Wednesday's podcast the prediction I made in fact, 30 00:01:40,080 --> 00:01:43,000 Speaker 2: the night of the debate between Trump and Joe Biden, 31 00:01:43,040 --> 00:01:45,440 Speaker 2: I made a prediction that I thought the odds were 32 00:01:45,920 --> 00:01:51,360 Speaker 2: greater than eighty percent that Joe Biden would not be 33 00:01:51,520 --> 00:01:53,640 Speaker 2: the nominee. That was a prediction I had made more 34 00:01:53,680 --> 00:01:57,080 Speaker 2: than a year ahead of time. Widely ridiculed. Well, this 35 00:01:57,120 --> 00:01:59,800 Speaker 2: is a prediction prediction number six in our list of ten, 36 00:02:00,640 --> 00:02:04,760 Speaker 2: that I made with with with greater certainty than greater 37 00:02:04,800 --> 00:02:06,960 Speaker 2: than eighty percent. And in fact, this is a prediction 38 00:02:07,600 --> 00:02:11,239 Speaker 2: I laid out. I said it was one hundred percent certainty, 39 00:02:11,840 --> 00:02:15,359 Speaker 2: and the media ridiculed and ignored that prediction. But I 40 00:02:15,400 --> 00:02:18,320 Speaker 2: want you to listen to what we predicted on July 41 00:02:18,440 --> 00:02:21,720 Speaker 2: twenty second of twenty twenty four. Give a listen, going 42 00:02:21,760 --> 00:02:26,200 Speaker 2: to place the odds that Joe Biden pardons Hunter Biden 43 00:02:27,120 --> 00:02:32,040 Speaker 2: at one hundred point zero percent. Hunter Biden will get 44 00:02:32,080 --> 00:02:35,240 Speaker 2: a pardon as a result of this decision today, will 45 00:02:35,280 --> 00:02:35,920 Speaker 2: not happen till. 46 00:02:35,840 --> 00:02:36,680 Speaker 3: After election day. 47 00:02:36,760 --> 00:02:37,799 Speaker 1: That's what I'm gonna ask when. 48 00:02:38,080 --> 00:02:38,840 Speaker 3: He's not going to do it. 49 00:02:38,840 --> 00:02:40,880 Speaker 2: He's not going to do it before election day, but 50 00:02:40,919 --> 00:02:44,080 Speaker 2: he's going to stick around and after election day. I 51 00:02:44,120 --> 00:02:46,160 Speaker 2: believe it is now one hundred percent that Joe Biden 52 00:02:46,160 --> 00:02:46,880 Speaker 2: will pardon Hunter. 53 00:02:47,960 --> 00:02:52,079 Speaker 1: Now, remember the Media Center, They we played a montage 54 00:02:52,120 --> 00:02:55,560 Speaker 1: on this show back then of the media obsessing over 55 00:02:56,240 --> 00:02:58,800 Speaker 1: over and over again, the White House Press Secretary, the 56 00:02:58,840 --> 00:03:02,760 Speaker 1: President and interview was straight up lying to the American people, 57 00:03:02,840 --> 00:03:05,560 Speaker 1: saying he was going to respect the justice system, he 58 00:03:05,639 --> 00:03:08,680 Speaker 1: was going to respect the outcome. He would not pardon 59 00:03:08,720 --> 00:03:12,079 Speaker 1: his son, and said it over and over again, and 60 00:03:12,240 --> 00:03:14,679 Speaker 1: the entire time they were just flat out lined to 61 00:03:14,720 --> 00:03:15,560 Speaker 1: the American people. 62 00:03:16,600 --> 00:03:20,040 Speaker 2: Yeah, Joe Biden was lying to the American people. Kamala 63 00:03:20,080 --> 00:03:22,880 Speaker 2: Harris was lying to the American people. Kareeman Jean Pierre 64 00:03:22,919 --> 00:03:24,799 Speaker 2: went out on behalf of the President stood at the 65 00:03:24,800 --> 00:03:27,119 Speaker 2: White House podium and lied to the American people over 66 00:03:27,160 --> 00:03:29,920 Speaker 2: and over and over again when they repeatedly said Joe 67 00:03:29,919 --> 00:03:32,399 Speaker 2: Biden was not going to pardon Hunters. As I said 68 00:03:32,440 --> 00:03:34,280 Speaker 2: in July of twenty four, I thought the odds were 69 00:03:34,280 --> 00:03:37,160 Speaker 2: one hundred percent, but it wasn't even July of twenty four. 70 00:03:37,280 --> 00:03:41,040 Speaker 2: Let's go back even further. Let's go back to January first, 71 00:03:41,560 --> 00:03:44,840 Speaker 2: twenty twenty four, almost exactly one year ago. Go back 72 00:03:44,880 --> 00:03:48,360 Speaker 2: and listen to what we predicted on Verdict January twelfth, 73 00:03:48,400 --> 00:03:49,200 Speaker 2: twenty twenty four. 74 00:03:49,280 --> 00:03:50,120 Speaker 3: Give a listen. 75 00:03:50,760 --> 00:03:54,680 Speaker 4: Back in January of this year, there was a prediction 76 00:03:54,880 --> 00:04:01,160 Speaker 4: that was made on this show, and that that was 77 00:04:01,240 --> 00:04:02,760 Speaker 4: made on this show. 78 00:04:02,920 --> 00:04:05,320 Speaker 1: I just want to start by playing it. 79 00:04:05,520 --> 00:04:09,200 Speaker 3: You said this, I'm going to make a prediction right now, Ben, 80 00:04:09,240 --> 00:04:10,160 Speaker 3: this is not what I like. 81 00:04:11,360 --> 00:04:16,960 Speaker 2: My prediction is in December of twenty twenty four, Joe 82 00:04:16,960 --> 00:04:19,440 Speaker 2: Biden will pardon Hunter. 83 00:04:19,520 --> 00:04:23,400 Speaker 3: Biden. Really, that's my prediction. He'll be after the election, 84 00:04:25,080 --> 00:04:27,520 Speaker 3: very likely win or lose. You say he'll do it 85 00:04:27,560 --> 00:04:29,480 Speaker 3: no matter what win or lose. 86 00:04:30,080 --> 00:04:33,080 Speaker 2: If Biden were to win, I think he'll delay the 87 00:04:33,120 --> 00:04:36,560 Speaker 2: pardon until right before Hunter goes to jail. But if 88 00:04:36,560 --> 00:04:39,520 Speaker 2: Biden is losing, I'd put the odds at ninety five 89 00:04:39,600 --> 00:04:42,960 Speaker 2: percent that in December of this year, if Biden has 90 00:04:43,000 --> 00:04:45,760 Speaker 2: just lost the general election, that he pardons his son 91 00:04:45,839 --> 00:04:47,760 Speaker 2: and he gives him a scot free get out of 92 00:04:47,839 --> 00:04:49,000 Speaker 2: jail pass. 93 00:04:49,680 --> 00:04:52,800 Speaker 3: And so understand Hunter's legal. 94 00:04:52,520 --> 00:04:57,200 Speaker 2: Strategy is delay eleven months, Delay eleven months, don't go 95 00:04:57,279 --> 00:04:59,320 Speaker 2: to jail for eleven months, and then Daddy gives you 96 00:04:59,640 --> 00:05:02,800 Speaker 2: get a jail free card. And it's why the House 97 00:05:02,880 --> 00:05:04,560 Speaker 2: needs to keep their eye on the ball. 98 00:05:04,839 --> 00:05:07,960 Speaker 1: That was January the twelfth Center, twenty twenty four. If 99 00:05:07,960 --> 00:05:10,279 Speaker 1: you were listening to Verdict, then this was one hundred 100 00:05:10,279 --> 00:05:13,960 Speaker 1: percent predicted and it happened exactly how you said it would. 101 00:05:14,120 --> 00:05:16,520 Speaker 2: Well to be fair, it was ninety five percent predicted then, 102 00:05:16,560 --> 00:05:19,240 Speaker 2: and then last summer I raised it to one hundred percent. 103 00:05:19,960 --> 00:05:23,000 Speaker 2: But if you listen to Verdict, you knew this was 104 00:05:23,040 --> 00:05:25,600 Speaker 2: going to happen. It is ten fifty three pm on 105 00:05:25,680 --> 00:05:29,160 Speaker 2: December first. We are recording this podcast right now. On 106 00:05:29,200 --> 00:05:32,400 Speaker 2: December first, Joe Biden did exactly what we told you 107 00:05:32,560 --> 00:05:33,960 Speaker 2: was going to do eleven months ago. 108 00:05:34,240 --> 00:05:36,160 Speaker 3: He pardoned his son Hunter Biden. 109 00:05:36,560 --> 00:05:40,200 Speaker 2: Never mind about the corruption, never mind about the gun offenses, 110 00:05:40,240 --> 00:05:42,279 Speaker 2: never mind about the drug offenses, never mind about the 111 00:05:42,320 --> 00:05:46,000 Speaker 2: tax offenses. No man is above the law unless your 112 00:05:46,040 --> 00:05:48,440 Speaker 2: name is Joe Biden and the entire Biden family. 113 00:05:48,800 --> 00:05:51,159 Speaker 1: I like, how honest you are? Ninety five percent? So 114 00:05:51,200 --> 00:05:52,680 Speaker 1: you gave the five percent back? 115 00:05:52,720 --> 00:05:56,719 Speaker 2: I like that, well, to be fair, ninety five percent 116 00:05:57,040 --> 00:05:59,719 Speaker 2: was the odds that I put on this in January 117 00:05:59,760 --> 00:06:03,120 Speaker 2: of two, twenty twenty four. One hundred percent were the 118 00:06:03,160 --> 00:06:05,440 Speaker 2: odds that I put on it in July of twenty 119 00:06:05,440 --> 00:06:08,160 Speaker 2: twenty four. So in those six months, I increased the 120 00:06:08,200 --> 00:06:11,520 Speaker 2: odds from ninety five percent to one hundred percent. And 121 00:06:11,560 --> 00:06:13,279 Speaker 2: I want to point out I didn't just make the 122 00:06:13,279 --> 00:06:15,040 Speaker 2: prediction that it would happen I made the prediction that 123 00:06:15,040 --> 00:06:19,159 Speaker 2: it would happen in December of twenty twenty four. Joe 124 00:06:19,160 --> 00:06:24,920 Speaker 2: Biden pardoned Hunter Biden on December one, twenty twenty four. 125 00:06:25,040 --> 00:06:28,960 Speaker 2: So not only was the prediction correct, the date was correct. 126 00:06:29,000 --> 00:06:32,880 Speaker 2: When we predicted on this podcast that Joe Biden would 127 00:06:32,880 --> 00:06:34,880 Speaker 2: be removed from the ballot, I predicted that would be 128 00:06:34,920 --> 00:06:37,960 Speaker 2: in August of twenty four. It instead happened on July 129 00:06:38,080 --> 00:06:40,920 Speaker 2: twenty first of twenty four. So I was off by 130 00:06:40,960 --> 00:06:44,080 Speaker 2: ten days on that prediction, but on the Hunter Biden pardon, 131 00:06:44,160 --> 00:06:46,320 Speaker 2: I was exactly right that it would happen, and I 132 00:06:46,360 --> 00:06:48,279 Speaker 2: was exactly right as to when it would happen. 133 00:06:48,760 --> 00:06:50,440 Speaker 1: I want to take a moment and talk to you 134 00:06:50,520 --> 00:06:54,720 Speaker 1: real quick about the International Fellowship of Christians and Jews. 135 00:06:54,839 --> 00:06:57,160 Speaker 1: The new year is a time of reflection on the 136 00:06:57,160 --> 00:06:59,320 Speaker 1: past year and the hope for a new one to come. 137 00:07:00,120 --> 00:07:03,760 Speaker 1: Last year was an incredibly turbulent time for Israel and 138 00:07:03,800 --> 00:07:07,800 Speaker 1: the Jewish people, with the devastating and ongoing multi front war. 139 00:07:08,520 --> 00:07:12,040 Speaker 1: It's an unprecedented rise that we've witnessed in global anti 140 00:07:12,040 --> 00:07:15,720 Speaker 1: Semitism and the loss of many Jewish lives. But we've 141 00:07:15,720 --> 00:07:18,640 Speaker 1: also seen an uprising of love and support from people 142 00:07:18,800 --> 00:07:22,280 Speaker 1: just like you, and through the partnership with the International 143 00:07:22,320 --> 00:07:25,440 Speaker 1: Fellowship of Christians and Jews, so many of you have 144 00:07:25,520 --> 00:07:28,520 Speaker 1: made a difference to people that are desperately in need 145 00:07:28,600 --> 00:07:32,280 Speaker 1: in Israel. Your support of the IFCJ have saved lives 146 00:07:32,320 --> 00:07:36,240 Speaker 1: and answered prayers, and thanks to generosity of listeners just 147 00:07:36,360 --> 00:07:41,000 Speaker 1: like you, bomb shelters have been built and placed. Life 148 00:07:41,000 --> 00:07:45,400 Speaker 1: saving food and emergency supplies have been provided to evacuees 149 00:07:45,480 --> 00:07:49,800 Speaker 1: and those in critical need, and protective gear and medical 150 00:07:49,800 --> 00:07:53,200 Speaker 1: equipment have been distributed to first responders on the front line, 151 00:07:53,640 --> 00:07:59,320 Speaker 1: including armored ambulances that you provided. Now, there's still more 152 00:07:59,360 --> 00:08:02,240 Speaker 1: work to be done, unfortunately, and that is why I'm 153 00:08:02,280 --> 00:08:04,280 Speaker 1: asking you to join the movement of those who have 154 00:08:04,440 --> 00:08:07,280 Speaker 1: raised their voices to support and stand with Israel and 155 00:08:07,320 --> 00:08:11,560 Speaker 1: the Jewish people. We're asking you to continue your prayers 156 00:08:11,880 --> 00:08:18,680 Speaker 1: and your ongoing support today by visiting support IFCJ dot org. 157 00:08:19,240 --> 00:08:26,960 Speaker 1: That's one word, SUPPORTIFCJ dot org. That's support IFCJ dot org. 158 00:08:27,480 --> 00:08:30,200 Speaker 1: Let's move to a prediction number seven on my list, 159 00:08:30,240 --> 00:08:33,640 Speaker 1: and this was one that could have become a massive 160 00:08:35,240 --> 00:08:41,480 Speaker 1: moment in American history, a massive moment with voting and 161 00:08:41,559 --> 00:08:45,319 Speaker 1: our elections. And it dealt with the Supreme Court. And 162 00:08:45,360 --> 00:08:49,200 Speaker 1: you said the Supreme Court would unanimously reverse the Colorado 163 00:08:49,360 --> 00:08:53,720 Speaker 1: effort to remove Donald J. Trump from the ballot in 164 00:08:53,800 --> 00:08:54,360 Speaker 1: that state. 165 00:08:55,400 --> 00:08:59,680 Speaker 2: Well, that's right, and remember the Colorado Supreme Court ruled 166 00:08:59,840 --> 00:09:02,400 Speaker 2: the that Trump had to be removed from the ballot. 167 00:09:02,440 --> 00:09:05,360 Speaker 2: And mind you, this is back when democrats claim they 168 00:09:05,360 --> 00:09:08,160 Speaker 2: were defending democracy, and the way they defend a democracy 169 00:09:08,280 --> 00:09:11,520 Speaker 2: is trying to legally order the voters do not vote 170 00:09:11,520 --> 00:09:13,880 Speaker 2: for our opponent because we love some democracy so much, 171 00:09:13,960 --> 00:09:16,439 Speaker 2: we're going to remove them from the ballot. That decision 172 00:09:16,600 --> 00:09:21,240 Speaker 2: was an outrage. It was a grotesque constitutional abomination. And 173 00:09:21,360 --> 00:09:25,480 Speaker 2: when that decision came down, I was unequivocal in predicting 174 00:09:25,600 --> 00:09:28,880 Speaker 2: number one, that the Supreme Court would overturn it. But 175 00:09:29,000 --> 00:09:32,760 Speaker 2: number two I predicted. I believed the Supreme Court would 176 00:09:32,760 --> 00:09:35,840 Speaker 2: overturn it unanimously. And I want you to give a 177 00:09:35,880 --> 00:09:40,040 Speaker 2: listen to this clip from January twenty twenty four. What 178 00:09:40,120 --> 00:09:44,080 Speaker 2: the Democrats have done in both Colorado and in Maine 179 00:09:44,280 --> 00:09:47,160 Speaker 2: is said, to hell with the voters. We don't care 180 00:09:47,200 --> 00:09:50,480 Speaker 2: about democracy. We don't care what the voters want. We 181 00:09:50,679 --> 00:09:54,600 Speaker 2: know better. We hate Donald Trump so much the voters 182 00:09:54,679 --> 00:09:57,160 Speaker 2: are not allowed to vote for him. 183 00:09:57,880 --> 00:09:58,600 Speaker 3: That is. 184 00:10:00,520 --> 00:10:03,200 Speaker 2: It's never happened in our nation's history. It is a 185 00:10:03,360 --> 00:10:07,800 Speaker 2: level of partisanship and weaponization and cynicism and abuse of 186 00:10:07,920 --> 00:10:12,280 Speaker 2: power that is truly unprecedented, and it is also legally frivolous. 187 00:10:12,320 --> 00:10:16,880 Speaker 2: I'm here to tell you right now, these decisions will 188 00:10:17,400 --> 00:10:20,400 Speaker 2: be reversed. I put the odds at these decisions being 189 00:10:20,480 --> 00:10:24,920 Speaker 2: reversed at one hundred percent. When we get to November 190 00:10:24,920 --> 00:10:29,120 Speaker 2: of this year. If Donald Trump is the Republican nominee, 191 00:10:29,160 --> 00:10:32,680 Speaker 2: his name will be on the ballot. Donald Trump's name 192 00:10:32,720 --> 00:10:35,679 Speaker 2: will be on the primary ballot in every state, and 193 00:10:35,920 --> 00:10:40,320 Speaker 2: no partisan Democrat is going to succeed in removing his 194 00:10:40,480 --> 00:10:42,600 Speaker 2: name from the ballot and keeping it off. That is 195 00:10:42,640 --> 00:10:45,400 Speaker 2: my prediction right now. I believe the US Supreme Court 196 00:10:45,920 --> 00:10:49,760 Speaker 2: will take this case. I think they will overturn. They 197 00:10:49,760 --> 00:10:52,280 Speaker 2: will reverse the Colorado decision. I think they will do 198 00:10:52,400 --> 00:10:55,440 Speaker 2: so swiftly, and I think there is a very real 199 00:10:55,480 --> 00:10:57,439 Speaker 2: possibility they do so unanimously. 200 00:10:57,480 --> 00:10:59,600 Speaker 3: I hope they do so unanimously. 201 00:10:59,640 --> 00:11:02,640 Speaker 2: I don't know if the left leaning judges on the 202 00:11:02,679 --> 00:11:04,880 Speaker 2: Court would be willing to do so, but they should. 203 00:11:04,920 --> 00:11:06,520 Speaker 2: It would be the right thing to do. And I 204 00:11:06,520 --> 00:11:09,920 Speaker 2: think there's a reasonable prospect that we get a nine 205 00:11:10,080 --> 00:11:14,000 Speaker 2: zero decision from the US Supreme Court reversing the Colorado 206 00:11:14,040 --> 00:11:17,840 Speaker 2: decision and making clear that if you don't like Donald Trump, 207 00:11:17,960 --> 00:11:20,240 Speaker 2: the answer is go beat him at the ballot box, 208 00:11:20,800 --> 00:11:25,079 Speaker 2: not go to your friendly Democrat in your pocket secretary 209 00:11:25,120 --> 00:11:26,760 Speaker 2: of state just to pull them off the ballot. 210 00:11:27,240 --> 00:11:29,920 Speaker 1: Yet again, the prediction you were spot. 211 00:11:29,679 --> 00:11:33,560 Speaker 2: On well, and it's worth noting there were multiple predictions 212 00:11:33,559 --> 00:11:36,120 Speaker 2: that were baked into that. Number One, at the time 213 00:11:36,200 --> 00:11:39,800 Speaker 2: the Colorado Supreme Court decision came down, it was going 214 00:11:39,840 --> 00:11:40,720 Speaker 2: to be appealed. 215 00:11:40,400 --> 00:11:41,480 Speaker 3: To the U. S. Supreme Court. 216 00:11:41,480 --> 00:11:43,680 Speaker 2: The way the US Supreme Court, the vast majority of 217 00:11:43,679 --> 00:11:46,360 Speaker 2: the cases before it, the way they take cases is 218 00:11:46,400 --> 00:11:48,960 Speaker 2: they have what's called discretionary review, so they have a 219 00:11:49,000 --> 00:11:51,840 Speaker 2: decision whether to take a case or not. And so 220 00:11:51,960 --> 00:11:55,200 Speaker 2: what I predicted immediately when this Colorado decision came down 221 00:11:55,320 --> 00:11:58,880 Speaker 2: was Number one, the US Supreme Court would take the case. 222 00:11:59,679 --> 00:12:04,040 Speaker 2: Check that prediction proved correct. Number two, I predicted the U. S. 223 00:12:04,040 --> 00:12:07,520 Speaker 2: Supreme Court would reverse the decision. And in fact, I 224 00:12:07,960 --> 00:12:10,200 Speaker 2: said in my judgment the odds of the Supreme Court 225 00:12:10,240 --> 00:12:13,680 Speaker 2: reversing the decision were one hundred percent. That's another one 226 00:12:13,720 --> 00:12:15,880 Speaker 2: hundred percent odds that I gave. 227 00:12:15,920 --> 00:12:16,800 Speaker 3: I gave the odds of a. 228 00:12:16,840 --> 00:12:19,240 Speaker 2: Hunter Biden pardon at one hundred percent that proved true. 229 00:12:19,280 --> 00:12:21,160 Speaker 2: I gave the odds of the Supreme Court reversing the 230 00:12:21,160 --> 00:12:24,839 Speaker 2: Colorado Supreme Court at one hundred percent. That proved true. 231 00:12:25,080 --> 00:12:27,800 Speaker 2: I will note, when you make a prediction with one 232 00:12:27,880 --> 00:12:31,400 Speaker 2: hundred percent odds, are you're taking some risk. I don't 233 00:12:31,400 --> 00:12:35,440 Speaker 2: know anyone else that was making predictions that unequivocally and 234 00:12:35,480 --> 00:12:37,720 Speaker 2: boldly about what was going to happen. I believe that 235 00:12:37,800 --> 00:12:40,840 Speaker 2: was correct, and it proved correct. And then the one 236 00:12:40,880 --> 00:12:44,640 Speaker 2: that was interesting is is I also predicted. I said, 237 00:12:44,640 --> 00:12:48,880 Speaker 2: there's a reasonable prospect that the US Supreme Court will 238 00:12:48,920 --> 00:12:52,080 Speaker 2: overturn the Colorado Supreme Court unanimously. I said that's not 239 00:12:52,080 --> 00:12:55,880 Speaker 2: one hundred percent. I didn't give a percentage number, but 240 00:12:55,920 --> 00:12:58,840 Speaker 2: I said a reasonable prospect. I think it's fair to 241 00:12:58,920 --> 00:13:01,559 Speaker 2: interpret that as as more likely than not, as greater 242 00:13:01,640 --> 00:13:06,720 Speaker 2: than fifty percent. And I'm very, very glad that prediction 243 00:13:06,920 --> 00:13:07,439 Speaker 2: came true. 244 00:13:07,440 --> 00:13:08,040 Speaker 3: It might not have. 245 00:13:08,400 --> 00:13:09,800 Speaker 2: You might have seen one or two or three of 246 00:13:09,840 --> 00:13:12,800 Speaker 2: the liberals dissent. That would have been really unfortunate. And 247 00:13:12,840 --> 00:13:17,240 Speaker 2: I'm grateful that that prediction came true because on March fourth, 248 00:13:17,720 --> 00:13:22,400 Speaker 2: twenty twenty four, the United States Supreme Court unanimously reversed 249 00:13:22,400 --> 00:13:25,600 Speaker 2: the Colorado Supreme Court and reinstated Donald Trump on the ballot. 250 00:13:25,640 --> 00:13:28,960 Speaker 2: That was the right decision, and it's exactly what verdict 251 00:13:28,960 --> 00:13:29,520 Speaker 2: had predicted. 252 00:13:30,400 --> 00:13:33,319 Speaker 1: It was an important prediction, especially for the future of 253 00:13:33,360 --> 00:13:37,040 Speaker 1: this country, and one that again it was absolutely predicted 254 00:13:37,120 --> 00:13:40,160 Speaker 1: correct by you. Let's move on to another one number 255 00:13:40,200 --> 00:13:42,720 Speaker 1: eight on my list, and that is that Joe Biden 256 00:13:43,480 --> 00:13:48,160 Speaker 1: and the Department of Justice would protect the big guy, 257 00:13:48,800 --> 00:13:53,000 Speaker 1: but would indict Hunter Biden on the gun charges. In 258 00:13:53,040 --> 00:13:56,080 Speaker 1: other words, and to go back in time, remind people 259 00:13:56,760 --> 00:14:00,480 Speaker 1: the charges that were coming against Hunter Biden actually were 260 00:14:00,520 --> 00:14:04,480 Speaker 1: the perfect charges to protect Joe Biden and make sure 261 00:14:04,520 --> 00:14:06,920 Speaker 1: there was nothing that would intertwine or put him in 262 00:14:06,960 --> 00:14:09,160 Speaker 1: a bad spot with his business partners. We've seen in 263 00:14:09,160 --> 00:14:12,120 Speaker 1: the last few days this picture coming out with Hunter 264 00:14:12,160 --> 00:14:14,920 Speaker 1: Biden and Joe Biden and Kim Jong Ag and other 265 00:14:15,000 --> 00:14:17,680 Speaker 1: business associates. He claimed he never met with the business associates, 266 00:14:17,720 --> 00:14:19,360 Speaker 1: and he had no connection to China, and there was 267 00:14:19,400 --> 00:14:22,520 Speaker 1: a firewall between his son and him. All of that 268 00:14:22,600 --> 00:14:25,280 Speaker 1: was smoking mers. All of that was a lie. But 269 00:14:25,400 --> 00:14:28,960 Speaker 1: there's anything that Joe Biden's doj did correctly, it was 270 00:14:29,000 --> 00:14:31,120 Speaker 1: to make sure that when they indicted Hunter, it was 271 00:14:31,200 --> 00:14:36,000 Speaker 1: a indictments that would not hurt Joe Biden the president 272 00:14:36,000 --> 00:14:36,520 Speaker 1: in any way. 273 00:14:37,400 --> 00:14:40,760 Speaker 2: Well, that's right, and we broke down in great detail 274 00:14:40,800 --> 00:14:45,240 Speaker 2: on this podcast what the evidence was concerning Hunter Biden, 275 00:14:45,280 --> 00:14:49,160 Speaker 2: concerning Joe Biden, concerning Biden family corruption and in particular, 276 00:14:49,200 --> 00:14:51,440 Speaker 2: we focused on Listen, the reason this is a matter 277 00:14:51,520 --> 00:14:55,880 Speaker 2: of public import is because it is evidence of corruption 278 00:14:56,160 --> 00:14:58,760 Speaker 2: directly by the President of the United States and by 279 00:14:58,800 --> 00:15:02,760 Speaker 2: previously the Vice President than the United States, Joe Biden. 280 00:15:02,800 --> 00:15:07,160 Speaker 2: And we said, listen, if Hunter Biden were just some poor, 281 00:15:07,280 --> 00:15:11,000 Speaker 2: substance abusing individual who had made bad life choices his 282 00:15:11,040 --> 00:15:13,040 Speaker 2: whole life, it would not be a matter of a 283 00:15:13,080 --> 00:15:17,080 Speaker 2: public concern. Uh. What the public concern is is that 284 00:15:17,160 --> 00:15:20,200 Speaker 2: Hunter Biden and the Biden family made millions of dollars 285 00:15:20,240 --> 00:15:23,760 Speaker 2: selling favors from Joe Biden. That it was official corruption 286 00:15:24,680 --> 00:15:29,120 Speaker 2: from Joe Biden, and so we broke that down. But 287 00:15:30,800 --> 00:15:33,760 Speaker 2: this podcast laid out how the Biden DOJ has been 288 00:15:33,880 --> 00:15:38,000 Speaker 2: utterly politicized and corrupt on this investigation, and that their 289 00:15:38,040 --> 00:15:41,720 Speaker 2: objective was to protect the big guy, to protect Joe Biden. 290 00:15:41,760 --> 00:15:44,520 Speaker 2: And what what what what I laid out As I said, listen, 291 00:15:45,360 --> 00:15:49,640 Speaker 2: if they just focus on the personal issues with Hunter, 292 00:15:49,720 --> 00:15:53,040 Speaker 2: if they focus on the drug issues and the gun issues, 293 00:15:53,080 --> 00:15:57,960 Speaker 2: those are unique and personal to Hunter, they don't implicate. 294 00:15:57,560 --> 00:15:58,240 Speaker 3: The big guy. 295 00:15:59,040 --> 00:16:02,920 Speaker 2: They will be doing so with an aid and a 296 00:16:02,960 --> 00:16:07,600 Speaker 2: purpose of protecting and insulating Joe Biden. Give a listen 297 00:16:07,640 --> 00:16:10,560 Speaker 2: to what we said in May of twenty twenty three. 298 00:16:11,240 --> 00:16:14,680 Speaker 2: As we've talked about at great length on this podcast, 299 00:16:15,600 --> 00:16:18,920 Speaker 2: the tell I think the Biden DOJ will indict Hunter Biden. 300 00:16:19,720 --> 00:16:21,040 Speaker 3: But if they indict him. 301 00:16:20,920 --> 00:16:24,720 Speaker 2: For personal tax issues or for lying on his gun 302 00:16:24,760 --> 00:16:30,440 Speaker 2: permit application, that will be the tell that they're being political, 303 00:16:30,480 --> 00:16:33,840 Speaker 2: that they're trying to focus on offenses that are just 304 00:16:33,960 --> 00:16:36,800 Speaker 2: personal to him, that they can say, listen, he's a 305 00:16:36,840 --> 00:16:42,320 Speaker 2: troubled solely as substance abuse issues. The scandal, the issue 306 00:16:42,360 --> 00:16:48,760 Speaker 2: of public concern is the corruption of daddy of Joe 307 00:16:48,800 --> 00:16:52,360 Speaker 2: Biden when he was vice president and when he was president. 308 00:16:52,720 --> 00:16:55,640 Speaker 1: I mean center. Not only did the prediction come true, 309 00:16:55,720 --> 00:16:58,880 Speaker 1: but do you think there's a good chance after Donald 310 00:16:58,920 --> 00:17:01,880 Speaker 1: Trump takes office and see all of these people with 311 00:17:01,960 --> 00:17:05,480 Speaker 1: the DJ turnover I would describe as from going from 312 00:17:05,480 --> 00:17:07,159 Speaker 1: the bad guys the good guys, the simple way of 313 00:17:07,240 --> 00:17:09,720 Speaker 1: putting it, that we're gonna find out even more about 314 00:17:09,720 --> 00:17:12,080 Speaker 1: how much they were helping protect the Biden crime family. 315 00:17:13,040 --> 00:17:16,800 Speaker 2: I do, and as I said in Wednesday's podcast, I 316 00:17:16,840 --> 00:17:20,159 Speaker 2: have urged both Pambondi, the incoming Attorney General, and Cash Pateel, 317 00:17:20,240 --> 00:17:24,200 Speaker 2: the incoming director of the FBI to engage in full transparency, 318 00:17:24,240 --> 00:17:26,880 Speaker 2: to make this information public that people have a right 319 00:17:26,960 --> 00:17:30,560 Speaker 2: to know. In particular, we know about Hunter biden WhatsApp 320 00:17:30,680 --> 00:17:33,320 Speaker 2: text that he sent to the Chinese businessman where he said, 321 00:17:33,359 --> 00:17:36,000 Speaker 2: I am sitting next to my father that would be 322 00:17:36,080 --> 00:17:41,399 Speaker 2: Joe Biden, Vice President, and threatening retaliation from Joe Biden 323 00:17:41,480 --> 00:17:43,399 Speaker 2: if he didn't get millions of dollars and we know 324 00:17:43,480 --> 00:17:47,840 Speaker 2: that that businessman within days sent Hunter Biden millions of dollars. 325 00:17:47,880 --> 00:17:51,840 Speaker 2: The obvious question was when he was threatening retaliation from 326 00:17:52,480 --> 00:17:55,760 Speaker 2: Vice President Joe Biden, was Daddy sitting next to him. 327 00:17:55,840 --> 00:17:58,680 Speaker 2: It's not complicated as a forensic matter to figure that out. 328 00:17:59,040 --> 00:18:01,840 Speaker 2: You can check the gp S location of Hunter Biden's phone, 329 00:18:01,840 --> 00:18:04,480 Speaker 2: you can check the GPS location of Joe Biden's phone. 330 00:18:04,960 --> 00:18:09,160 Speaker 2: If they're in the exact same place, that is strong 331 00:18:09,359 --> 00:18:13,439 Speaker 2: evidence that Joe Biden was actively aware and complicit in it. 332 00:18:13,480 --> 00:18:16,240 Speaker 2: If it turns out Joe Biden somewhere else, maybe Hunter 333 00:18:16,359 --> 00:18:18,240 Speaker 2: was lying. I mean, look, the guy we know is 334 00:18:18,280 --> 00:18:21,280 Speaker 2: willing to lie. So it could be that Hunter was 335 00:18:21,280 --> 00:18:24,280 Speaker 2: making threats about Daddy, that he was not sitting there 336 00:18:24,320 --> 00:18:26,800 Speaker 2: with Joe Biden, and maybe the threats were not real. 337 00:18:27,400 --> 00:18:30,080 Speaker 2: But we know from the irs whistleblowers that when the 338 00:18:30,080 --> 00:18:33,760 Speaker 2: investigators wanted a subpoena the GPS information of Joe Biden's 339 00:18:33,880 --> 00:18:36,800 Speaker 2: and Hunter Biden's phones at that exact moment, the moment 340 00:18:36,840 --> 00:18:40,560 Speaker 2: that text was being sent, the Department of Justice blocked it. 341 00:18:40,600 --> 00:18:42,720 Speaker 2: And they blocked it, I believe because they wanted to 342 00:18:42,760 --> 00:18:45,919 Speaker 2: protect the big guy. And I got to say, so, 343 00:18:46,000 --> 00:18:48,480 Speaker 2: the prediction that you just played I made in May 344 00:18:48,520 --> 00:18:51,240 Speaker 2: of twenty three, and the prediction was number one, DJ 345 00:18:51,359 --> 00:18:54,879 Speaker 2: would indict Hunter Biden. Check that came true, but number 346 00:18:54,920 --> 00:18:58,880 Speaker 2: two that they would indict Hunter Biden on personal claims, 347 00:18:58,960 --> 00:19:02,240 Speaker 2: not claims related to corruption, to influence pedaling, to selling 348 00:19:02,240 --> 00:19:05,840 Speaker 2: favors from Dad, to shaking down the Chinese for money. 349 00:19:06,200 --> 00:19:08,879 Speaker 2: And that's exactly what they did. In September twenty twenty three, 350 00:19:09,000 --> 00:19:12,399 Speaker 2: the grand jury return an indictment charging Hunter Biden with 351 00:19:12,480 --> 00:19:15,800 Speaker 2: three felonies related to his purchase of a firearm. 352 00:19:16,200 --> 00:19:17,080 Speaker 3: That was the tell. 353 00:19:17,600 --> 00:19:21,399 Speaker 2: That was what demonstrated that the DOJ was being partisan 354 00:19:21,480 --> 00:19:24,280 Speaker 2: and that their real objective was protect the big guy. 355 00:19:25,480 --> 00:19:27,640 Speaker 1: Yeah, and they did that all the time twenty four 356 00:19:27,640 --> 00:19:30,679 Speaker 1: to seven. For the last four years, let's move on 357 00:19:30,800 --> 00:19:33,400 Speaker 1: to prediction number nine. This was a really fun prediction 358 00:19:34,359 --> 00:19:38,040 Speaker 1: and it was you predicting when the race will be 359 00:19:38,280 --> 00:19:43,360 Speaker 1: called in Texas. You did this, if I remember correct correctly, 360 00:19:43,680 --> 00:19:44,720 Speaker 1: on election Eve. 361 00:19:45,960 --> 00:19:46,600 Speaker 3: Yeah, that's right. 362 00:19:47,160 --> 00:19:50,080 Speaker 2: And right before the election, we did a podcast and 363 00:19:50,119 --> 00:19:53,000 Speaker 2: I laid out the fact that number one Blue states. 364 00:19:53,359 --> 00:19:57,480 Speaker 2: Blue states have really managed to master the effort of 365 00:19:57,880 --> 00:20:00,600 Speaker 2: stealing votes. You notice every Blue state they count votes, 366 00:20:00,720 --> 00:20:03,520 Speaker 2: They count votes, and they count votes. I think California 367 00:20:03,560 --> 00:20:05,920 Speaker 2: will be still counting votes maybe for the next two years. 368 00:20:05,960 --> 00:20:08,280 Speaker 2: They can't actually bother to finish counting votes till they've 369 00:20:08,280 --> 00:20:12,120 Speaker 2: thrown every Republican out of office. And I made the point, Look, Texas, 370 00:20:12,880 --> 00:20:15,679 Speaker 2: we're really big, damn state. We're over thirty one million 371 00:20:15,680 --> 00:20:17,800 Speaker 2: people now, and we managed to count the votes, and 372 00:20:17,840 --> 00:20:19,680 Speaker 2: we do it all in one night and we're done, 373 00:20:20,040 --> 00:20:22,480 Speaker 2: and we don't drag it on. You look at blue 374 00:20:22,480 --> 00:20:26,399 Speaker 2: states California, Pennsylvania, Wisconsin. They drag on and on and on, 375 00:20:26,440 --> 00:20:27,840 Speaker 2: and they count and they count in the count, and 376 00:20:27,880 --> 00:20:30,640 Speaker 2: the count always is adding more and more Democrat votes. 377 00:20:30,680 --> 00:20:34,240 Speaker 2: The count always always always goes one direction. Why the 378 00:20:34,280 --> 00:20:36,879 Speaker 2: hell if Texas and Florida can count their votes in 379 00:20:36,920 --> 00:20:40,520 Speaker 2: one night. Why can Pennsylvania not It's a much smaller 380 00:20:40,520 --> 00:20:43,480 Speaker 2: state than either one of ours. Why do these big 381 00:20:43,520 --> 00:20:46,000 Speaker 2: blue cities drag it on for days? And I believe 382 00:20:46,000 --> 00:20:49,639 Speaker 2: it is because they want to facilitate fraud. Anyway, the 383 00:20:49,680 --> 00:20:54,080 Speaker 2: prediction I made on election day was when the results 384 00:20:54,080 --> 00:20:56,840 Speaker 2: would come down in Texas, what we would get. Give 385 00:20:56,840 --> 00:20:59,119 Speaker 2: a listen to to what you and I said on 386 00:20:59,200 --> 00:21:01,400 Speaker 2: Election e four. 387 00:21:02,119 --> 00:21:03,879 Speaker 1: The odds we don't know who the president is on 388 00:21:03,920 --> 00:21:04,520 Speaker 1: election night. 389 00:21:05,520 --> 00:21:08,560 Speaker 2: Look, I think they're quite high because Democrats are both 390 00:21:08,720 --> 00:21:13,320 Speaker 2: incompetent and they they are engaged in malfeasans. Listen, Texas. 391 00:21:13,359 --> 00:21:16,080 Speaker 2: Texas is the second largest state in the country. It 392 00:21:16,200 --> 00:21:19,160 Speaker 2: is smaller only than California. It's bigger than New York, 393 00:21:19,160 --> 00:21:20,480 Speaker 2: It's bigger than Florida. 394 00:21:20,640 --> 00:21:22,720 Speaker 3: We will be done on election night. 395 00:21:23,800 --> 00:21:28,159 Speaker 2: On Tuesday night, I'm going to predict by midnight, we 396 00:21:28,280 --> 00:21:30,679 Speaker 2: will know the result in the presidential race, will know 397 00:21:30,720 --> 00:21:32,879 Speaker 2: the result in my race, in the Senate race, we 398 00:21:32,880 --> 00:21:35,760 Speaker 2: will know the result in the In the congressional races, 399 00:21:36,240 --> 00:21:39,679 Speaker 2: there might be an individual state rep race where it 400 00:21:39,840 --> 00:21:42,119 Speaker 2: is within a few hundred votes where there has to 401 00:21:42,160 --> 00:21:44,880 Speaker 2: be a recount. That sometimes happens on an individual district, 402 00:21:45,400 --> 00:21:50,440 Speaker 2: but we will have the results in almost every race, 403 00:21:50,480 --> 00:21:53,159 Speaker 2: if not every single race by the end of election 404 00:21:53,320 --> 00:21:55,360 Speaker 2: night in Texas now and if in Texas we can 405 00:21:55,400 --> 00:21:57,440 Speaker 2: counter damn voats, why. 406 00:21:57,240 --> 00:21:59,520 Speaker 3: Can't they do that in Philadelphia? Why can't they do 407 00:21:59,600 --> 00:22:02,040 Speaker 3: that in Detroit? Why can't they do that in Milwaukee? 408 00:22:02,280 --> 00:22:04,640 Speaker 3: Why can't they do that in Atlanta? Why can't they 409 00:22:04,720 --> 00:22:09,280 Speaker 3: do that in blue cities? In swing states? 410 00:22:09,280 --> 00:22:13,480 Speaker 2: And the answer, sadly is that I think the Democrats 411 00:22:13,560 --> 00:22:16,480 Speaker 2: running them they wanted to lay it and will. 412 00:22:17,200 --> 00:22:19,640 Speaker 1: Well, let me ask and not only was this prediction right, 413 00:22:19,720 --> 00:22:22,879 Speaker 1: but do you believe that we're going to get in 414 00:22:22,920 --> 00:22:26,639 Speaker 1: the next four years with Republicans that are in charge 415 00:22:26,680 --> 00:22:29,440 Speaker 1: and more and more states, Because that's where this really 416 00:22:29,440 --> 00:22:30,920 Speaker 1: comes down to how they do it in these states 417 00:22:30,920 --> 00:22:35,200 Speaker 1: we have more Republican governors and in charge of House, 418 00:22:35,280 --> 00:22:39,439 Speaker 1: state and Senate state, you know majorities. Are we going 419 00:22:39,520 --> 00:22:43,159 Speaker 1: to get more reform where universally nationwide we're going to 420 00:22:43,200 --> 00:22:47,880 Speaker 1: get more just quicker results, better, more accurate and not 421 00:22:48,040 --> 00:22:50,320 Speaker 1: just so much of the shadiness that people say they 422 00:22:50,320 --> 00:22:52,880 Speaker 1: don't trust how the votes are being counted. 423 00:22:53,119 --> 00:22:55,600 Speaker 2: Look in red states, yes, and Blue states. No, they 424 00:22:55,600 --> 00:22:57,920 Speaker 2: want to drag it out. California likes that it takes 425 00:22:57,920 --> 00:22:59,800 Speaker 2: weeks to count the votes because it lets them throw 426 00:22:59,800 --> 00:23:03,639 Speaker 2: over throw Republican congressmen out of office. They embrace the 427 00:23:03,640 --> 00:23:07,480 Speaker 2: corruption Listen California, Gavin Newsom supported a law making it 428 00:23:07,520 --> 00:23:10,359 Speaker 2: illegal to even ask someone for photo ID. They don't 429 00:23:10,400 --> 00:23:12,399 Speaker 2: want to know if you're not the person you claim 430 00:23:12,440 --> 00:23:14,439 Speaker 2: you are. Now, now let's be clear that, I mean, 431 00:23:14,480 --> 00:23:16,480 Speaker 2: we can do a lot more on voter fraud and 432 00:23:16,480 --> 00:23:18,960 Speaker 2: that that's been the topic of multiple podcasts in the 433 00:23:18,960 --> 00:23:20,960 Speaker 2: past and we'll be in the future. But let's just 434 00:23:21,000 --> 00:23:23,040 Speaker 2: be clear on the prediction. I predicted we would know 435 00:23:23,080 --> 00:23:27,640 Speaker 2: my race, the Senate race, well before midnight on election day. 436 00:23:27,640 --> 00:23:30,560 Speaker 2: Well that came true. On November fifth, twenty twenty four, 437 00:23:30,640 --> 00:23:33,760 Speaker 2: election day, the US Senate race in Texas was called 438 00:23:33,760 --> 00:23:36,720 Speaker 2: at ten forty one pm Texas time. At ten forty 439 00:23:36,720 --> 00:23:39,760 Speaker 2: one pm, the results were in. The Associated Press called 440 00:23:39,760 --> 00:23:42,320 Speaker 2: the race, and in fact, the AP called the race 441 00:23:43,040 --> 00:23:48,120 Speaker 2: for Donald Trump nationally at five thirty four am Eastern time. 442 00:23:48,160 --> 00:23:51,359 Speaker 2: And so we ended up getting the results, and it 443 00:23:51,480 --> 00:23:56,080 Speaker 2: proved even though blue cities and Blue states delayed the counting. 444 00:23:56,119 --> 00:23:58,960 Speaker 2: Trump's victory nationally was big enough that the delay in 445 00:23:59,000 --> 00:24:02,120 Speaker 2: the county was not an enough to defeat him, much 446 00:24:02,200 --> 00:24:07,520 Speaker 2: to the fury of leftists who wanted another outcome. 447 00:24:08,480 --> 00:24:10,719 Speaker 1: All right, let's move on to prediction number ten, and 448 00:24:10,920 --> 00:24:13,840 Speaker 1: this one is one that I love on so many 449 00:24:13,880 --> 00:24:19,080 Speaker 1: different levels, because we really saw the demise of the 450 00:24:19,160 --> 00:24:22,760 Speaker 1: corporate media I call it the state sponsored media. And 451 00:24:22,960 --> 00:24:27,679 Speaker 1: for decades we have seen the media, especially the big ABC, NBC, 452 00:24:27,800 --> 00:24:32,960 Speaker 1: CBS IS, the CNN's MSNBC's be Able and so much 453 00:24:33,080 --> 00:24:37,360 Speaker 1: of print to control the narrative and the mindset of 454 00:24:37,520 --> 00:24:41,320 Speaker 1: so many voters and sway elections towards the left into Democrats. 455 00:24:42,040 --> 00:24:46,480 Speaker 1: I hope that we have just witnessed the true demise 456 00:24:46,840 --> 00:24:50,439 Speaker 1: of the media and their influence and their corruption, because 457 00:24:50,520 --> 00:24:54,520 Speaker 1: so many times we've just seen how biased they are, 458 00:24:54,560 --> 00:24:58,159 Speaker 1: whether it was COVID and that issue, whether it was 459 00:24:59,200 --> 00:25:02,119 Speaker 1: the issue with Hun Biden in the laptop. We have 460 00:25:02,280 --> 00:25:05,560 Speaker 1: now seen where there's a lot of Americans that aren't 461 00:25:05,560 --> 00:25:07,880 Speaker 1: getting their news from not just not trust them, They're 462 00:25:07,880 --> 00:25:11,840 Speaker 1: not even watching anymore, they're not even reading these newspapers anymore, 463 00:25:12,280 --> 00:25:16,879 Speaker 1: and they're turning to podcasts just like this show and 464 00:25:17,040 --> 00:25:22,000 Speaker 1: Podcasts Center had a massive impact on the twenty twenty 465 00:25:22,040 --> 00:25:25,199 Speaker 1: four election at the local, state, and national level. And 466 00:25:25,280 --> 00:25:27,000 Speaker 1: that is good for everyone. 467 00:25:27,680 --> 00:25:30,200 Speaker 2: Well, and that's the final that's prediction number ten that 468 00:25:30,600 --> 00:25:32,880 Speaker 2: there's no doubt that we are seeing across the media 469 00:25:33,000 --> 00:25:38,159 Speaker 2: landscape a disintermediation, that the mediators, those who had a 470 00:25:38,160 --> 00:25:42,320 Speaker 2: monopoly on communicating with the public, are losing that monopoly. 471 00:25:42,320 --> 00:25:45,359 Speaker 2: They're losing that control. And and listen, the part of 472 00:25:45,400 --> 00:25:47,480 Speaker 2: the reason they're losing that monopoly is because they've been 473 00:25:47,560 --> 00:25:52,679 Speaker 2: so dishonest. They've been such partisan propagandists that that they 474 00:25:52,680 --> 00:25:55,600 Speaker 2: don't report on news, they simply advocate for the left 475 00:25:55,600 --> 00:25:58,680 Speaker 2: wing of the Democrat Party. That they have utterly destroyed 476 00:25:58,680 --> 00:26:00,720 Speaker 2: the trust they had with the Amreaer people, and the 477 00:26:00,720 --> 00:26:04,280 Speaker 2: corporate media has been exposed as liars. We have seen 478 00:26:04,359 --> 00:26:07,880 Speaker 2: the rise the democratization of media. We've seen the rise 479 00:26:07,920 --> 00:26:10,879 Speaker 2: of podcasts. I think this podcast has had a significant 480 00:26:10,880 --> 00:26:14,040 Speaker 2: impact on the public discourse. I think other podcasts. We 481 00:26:14,080 --> 00:26:17,199 Speaker 2: saw Donald Trump go on multiple podcasts in the election 482 00:26:17,280 --> 00:26:19,760 Speaker 2: and go right around the corporate media, goes straight to 483 00:26:19,800 --> 00:26:22,199 Speaker 2: the American people. We see the impact of people like 484 00:26:22,280 --> 00:26:25,720 Speaker 2: Joe Rogan, which is enormously impactful, going straight to the 485 00:26:25,760 --> 00:26:29,680 Speaker 2: American people. And the prediction that we made is that 486 00:26:29,720 --> 00:26:32,600 Speaker 2: we were going to see more and more democratization, both 487 00:26:32,640 --> 00:26:36,199 Speaker 2: from podcasts and also from Twitter and x and just 488 00:26:36,320 --> 00:26:40,520 Speaker 2: speaking the truth right around the so called gatekeepers. So 489 00:26:40,560 --> 00:26:42,880 Speaker 2: I want you to listen to this prediction. This prediction 490 00:26:43,280 --> 00:26:45,840 Speaker 2: was in August of twenty twenty four. Give a listen. 491 00:26:46,560 --> 00:26:49,840 Speaker 2: Why do you and I do the podcast often at 492 00:26:49,840 --> 00:26:52,240 Speaker 2: eleven o'clock at night or midnight or even one or 493 00:26:52,240 --> 00:26:54,640 Speaker 2: two in the morning. Why do we do it three 494 00:26:54,720 --> 00:26:58,240 Speaker 2: days a week. We do it because if your only 495 00:26:58,320 --> 00:27:00,440 Speaker 2: source of news is the corporate media, if you only 496 00:27:00,440 --> 00:27:05,199 Speaker 2: watch CNN or MSNBC or ABCNBCCBS, you do not know 497 00:27:05,280 --> 00:27:08,439 Speaker 2: what is happening. They are lying to you. And the 498 00:27:08,480 --> 00:27:12,040 Speaker 2: reason this podcast we've got roughly a million unique listeners 499 00:27:12,560 --> 00:27:16,240 Speaker 2: is because people find it valuable. We give you facts 500 00:27:16,720 --> 00:27:21,280 Speaker 2: that CNN will never air. We play the full segment 501 00:27:21,440 --> 00:27:24,840 Speaker 2: of what Elon and Trump said about here Shima and 502 00:27:24,880 --> 00:27:31,000 Speaker 2: Nagasaki instead of their dishonestly edited snippet that was designed 503 00:27:31,040 --> 00:27:34,879 Speaker 2: to mislead you and lie to you. And this podcast 504 00:27:34,920 --> 00:27:38,960 Speaker 2: goes right around the corporate media and in fact, just 505 00:27:39,000 --> 00:27:42,359 Speaker 2: about every podcast we put out drives stories in the 506 00:27:42,400 --> 00:27:46,080 Speaker 2: corporate media. That is going to accelerate. People are going 507 00:27:46,080 --> 00:27:48,960 Speaker 2: to podcast, people are going to social media, people are 508 00:27:49,000 --> 00:27:54,960 Speaker 2: going to x Elon's buying Twitter remains I think the 509 00:27:55,080 --> 00:27:59,040 Speaker 2: single most important step for free speech in decades, and 510 00:27:59,080 --> 00:28:01,840 Speaker 2: I think that's only accelerate, and you're going to see 511 00:28:01,880 --> 00:28:05,679 Speaker 2: a panic as the corporate media they want a monopoly 512 00:28:05,720 --> 00:28:09,280 Speaker 2: on what we know, what we hear, what we understand, 513 00:28:09,560 --> 00:28:12,840 Speaker 2: and they're losing their monopoly. So I predict more and 514 00:28:12,920 --> 00:28:18,000 Speaker 2: more frantic panic, but also more and more power to 515 00:28:18,040 --> 00:28:19,480 Speaker 2: the people, which is a very good thing. 516 00:28:19,880 --> 00:28:22,520 Speaker 1: Center. I mean, it's this is a I really do 517 00:28:22,640 --> 00:28:25,800 Speaker 1: believe a major turning point, and I think there is 518 00:28:25,960 --> 00:28:28,600 Speaker 1: proof and the outcome of the election that we just saw. 519 00:28:28,960 --> 00:28:32,600 Speaker 1: And it's not that I want to have a conservative 520 00:28:33,359 --> 00:28:38,680 Speaker 1: media just have a monopoly. I just want honest journalism 521 00:28:39,160 --> 00:28:41,040 Speaker 1: and those that are telling the truth to have a 522 00:28:41,080 --> 00:28:44,000 Speaker 1: real platform with a real audience. And we're gaining that 523 00:28:44,120 --> 00:28:46,800 Speaker 1: now through podcasts and other venues. 524 00:28:46,840 --> 00:28:51,320 Speaker 2: As we mentioned, Yeah, that's exactly right, and we're seeing that. 525 00:28:51,640 --> 00:28:54,520 Speaker 2: Look these ten predictions that we've gone through on this 526 00:28:54,560 --> 00:28:58,440 Speaker 2: podcast and Wednesday's podcast, If you got all your news 527 00:28:58,480 --> 00:29:02,960 Speaker 2: from CNN, you would have heard zero of these ten predictions. 528 00:29:03,000 --> 00:29:04,959 Speaker 2: If you got all your news from the New York Times, 529 00:29:05,280 --> 00:29:08,760 Speaker 2: you would have heard zero of these predictions. And so 530 00:29:09,560 --> 00:29:12,600 Speaker 2: it's why people tune into Verdict, because you learn things 531 00:29:12,600 --> 00:29:14,960 Speaker 2: and you know things that you cannot get through the 532 00:29:15,000 --> 00:29:17,080 Speaker 2: corporate media. That this is one of the very few 533 00:29:17,120 --> 00:29:21,640 Speaker 2: avenues that is putting out the facts and that prediction. 534 00:29:21,800 --> 00:29:25,800 Speaker 2: We saw the massive impact of podcasts and an X 535 00:29:25,880 --> 00:29:29,680 Speaker 2: on the twenty twenty four election, but also the prediction 536 00:29:29,760 --> 00:29:32,800 Speaker 2: that I made about about the panic from the media. 537 00:29:33,360 --> 00:29:35,640 Speaker 2: I want you to listen. This is in November twenty 538 00:29:35,680 --> 00:29:39,240 Speaker 2: twenty five after the election, to Axio CEO Jim Vanda 539 00:29:39,320 --> 00:29:43,840 Speaker 2: Hide just completely losing his mind over Elon Musk saying 540 00:29:43,880 --> 00:29:47,280 Speaker 2: to everyone on X you are the media. Give a 541 00:29:47,320 --> 00:29:50,920 Speaker 2: listen to Jim Vanda high losing it. 542 00:29:51,440 --> 00:29:53,160 Speaker 3: Thing we do is under fire. 543 00:29:53,840 --> 00:29:56,600 Speaker 5: Elon Musk sits on Twitter every day or X Today 544 00:29:57,400 --> 00:30:00,600 Speaker 5: saying like we are the media, you are the media. 545 00:30:01,480 --> 00:30:05,440 Speaker 5: My message to Elon Musk is both you're not the media. 546 00:30:06,240 --> 00:30:14,440 Speaker 5: You having you having a blue check mark a Twitter 547 00:30:14,480 --> 00:30:18,160 Speaker 5: handle in three hundred words of cleverness doesn't make you 548 00:30:18,240 --> 00:30:21,760 Speaker 5: a reporter. You don't do that by popping off on Twitter. 549 00:30:22,600 --> 00:30:25,960 Speaker 3: You don't do that by having an opinion. You do 550 00:30:26,080 --> 00:30:27,600 Speaker 3: it by doing the hard work. 551 00:30:28,960 --> 00:30:34,080 Speaker 6: Yeah, come on, First of all, I've got to say 552 00:30:34,520 --> 00:30:36,000 Speaker 6: extraordinary content. 553 00:30:36,600 --> 00:30:38,040 Speaker 3: It needed to be said. 554 00:30:38,560 --> 00:30:41,480 Speaker 6: It continues the need to be said when all of 555 00:30:41,520 --> 00:30:46,040 Speaker 6: the garbage is flying around on social media, lying about reporters, 556 00:30:46,200 --> 00:30:48,840 Speaker 6: lying about the hard work they do, lying about the 557 00:30:48,840 --> 00:30:53,320 Speaker 6: hard work editors do, lying about everything up and down 558 00:30:53,920 --> 00:30:57,640 Speaker 6: about not only their alternative set of facts, but alternative 559 00:30:57,640 --> 00:30:58,640 Speaker 6: set of facts about what. 560 00:30:58,640 --> 00:31:03,160 Speaker 7: People like you do or are if social media people 561 00:31:03,240 --> 00:31:10,160 Speaker 7: lying every day, every hour, every minute about the news. 562 00:31:10,520 --> 00:31:12,800 Speaker 3: What you do matters. 563 00:31:13,080 --> 00:31:17,320 Speaker 8: What the New York Times does matters, What the Wall 564 00:31:17,400 --> 00:31:22,720 Speaker 8: Street Journal does matters, What Jonathan Lemir does matters, what 565 00:31:22,800 --> 00:31:28,280 Speaker 8: the Financial Times does matters. What NBC News and MSNBC 566 00:31:28,480 --> 00:31:32,520 Speaker 8: reporters do matters, It matters. 567 00:31:33,520 --> 00:31:36,120 Speaker 1: It matters. I love the self righteousness there right. 568 00:31:37,080 --> 00:31:38,840 Speaker 2: Well and yes, and then that kicked in at the 569 00:31:39,000 --> 00:31:43,160 Speaker 2: end morning Joe to to Joe Scarborough and Mika losing 570 00:31:43,200 --> 00:31:47,600 Speaker 2: their minds, also echoing Jim Vanda high and just yes, yes, yes, 571 00:31:48,160 --> 00:31:53,920 Speaker 2: he's exactly right. And listen the corporate media they hate democracy. 572 00:31:54,480 --> 00:31:59,520 Speaker 2: They hate the democratization of communication. They hate the rise 573 00:31:59,560 --> 00:32:03,240 Speaker 2: of pod cast, They hate that people can talk directly 574 00:32:03,320 --> 00:32:06,440 Speaker 2: to the voters. They hate the ability to get the 575 00:32:06,480 --> 00:32:10,120 Speaker 2: truth and and this is destroying their monopoly. 576 00:32:10,160 --> 00:32:10,240 Speaker 4: Now. 577 00:32:10,280 --> 00:32:12,160 Speaker 2: A big part of the reason so many people turn 578 00:32:12,200 --> 00:32:17,000 Speaker 2: to podcasts is the corporate media lies. They lied deliberately, 579 00:32:17,040 --> 00:32:20,040 Speaker 2: and when they had a monopoly, their lives were pretty effective. 580 00:32:20,040 --> 00:32:26,600 Speaker 2: But people are turning elsewhere. Look Mourning Joe, Mourning Joe. 581 00:32:27,160 --> 00:32:34,320 Speaker 2: During the week that Trump that Joe Scarboro and Mika 582 00:32:34,360 --> 00:32:37,400 Speaker 2: went down to meet with Morning Joe, do you know 583 00:32:37,440 --> 00:32:41,320 Speaker 2: how many viewers Morning Joe averaged every day? How many 584 00:32:41,920 --> 00:32:44,720 Speaker 2: they averaged six hundred ninety one thousand total viewers during 585 00:32:44,760 --> 00:32:46,920 Speaker 2: the week that Joe and Mika went to meet with Trump. 586 00:32:46,920 --> 00:32:49,920 Speaker 2: Six hundred ninety one thousand. We have about a million. So, Joe, 587 00:32:49,960 --> 00:32:52,320 Speaker 2: it ought to concern you that you've got an entire 588 00:32:52,560 --> 00:32:56,840 Speaker 2: corporate bureaucracy. You've got millions of dollars that are broadcasting 589 00:32:56,880 --> 00:33:00,640 Speaker 2: your show into every television set in America, and yet 590 00:33:00,960 --> 00:33:05,320 Speaker 2: Verdict is getting substantially more listeners than you are. And 591 00:33:05,360 --> 00:33:08,200 Speaker 2: the reason is simple. The corporate media. They lie to you. 592 00:33:08,240 --> 00:33:11,240 Speaker 2: They are so partisan. They are so brazen, they are 593 00:33:11,240 --> 00:33:14,280 Speaker 2: willing to lie, and they are horrified that their ability 594 00:33:14,320 --> 00:33:18,080 Speaker 2: to lie is checked by the ability of you and 595 00:33:18,120 --> 00:33:21,000 Speaker 2: me and others to speak the truth. That's the power 596 00:33:21,040 --> 00:33:24,880 Speaker 2: of podcast, and I think that's that's the power of verdict. 597 00:33:25,400 --> 00:33:30,080 Speaker 1: Finally, let's end with a prediction to watch center on. 598 00:33:30,600 --> 00:33:34,040 Speaker 1: Not that long ago, you predicted that the US will 599 00:33:34,120 --> 00:33:41,120 Speaker 1: sanction the ICC for the egregious move to arrest Benjaminett 600 00:33:41,120 --> 00:33:45,440 Speaker 1: and Yahoo, and that that prediction I want to play 601 00:33:45,480 --> 00:33:46,800 Speaker 1: for people. Take a listen. 602 00:33:47,440 --> 00:33:50,560 Speaker 2: We're going to predict we will take up the legislation 603 00:33:50,680 --> 00:33:53,959 Speaker 2: to sanction the ICC, and we will do it early 604 00:33:54,080 --> 00:33:56,320 Speaker 2: next year, when we have a Republican Congress and a 605 00:33:56,360 --> 00:34:00,200 Speaker 2: Republican president. I don't even know that we'll need that legislation, though, 606 00:34:00,240 --> 00:34:03,800 Speaker 2: because I expect the Trump administration to act unilatterally. I 607 00:34:03,840 --> 00:34:06,320 Speaker 2: think there's ample authority under the law for them to act. 608 00:34:06,920 --> 00:34:10,680 Speaker 2: Even if the Democrats filibuster legislation to sanction the ICC, 609 00:34:11,280 --> 00:34:13,680 Speaker 2: I think the president will have ample authority to act 610 00:34:13,760 --> 00:34:14,800 Speaker 2: come January twenty. 611 00:34:15,560 --> 00:34:18,400 Speaker 1: Let me talk to you. That was a prediction that 612 00:34:18,480 --> 00:34:21,160 Speaker 1: you're now saying we should watch this very carefully. 613 00:34:21,840 --> 00:34:23,879 Speaker 2: Yeah, I think that's gonna happen in twenty twenty five, 614 00:34:24,760 --> 00:34:27,440 Speaker 2: and we'll all see it. And you know what happens 615 00:34:27,480 --> 00:34:29,640 Speaker 2: in twenty twenty five, Verdict will come back and point 616 00:34:29,680 --> 00:34:32,840 Speaker 2: out exactly as we predicted it came to pass. 617 00:34:33,760 --> 00:34:37,040 Speaker 1: Don't forget We do the show Monday, Wednesday and Friday. 618 00:34:37,080 --> 00:34:40,319 Speaker 1: Make sure hit that subscribe or auto download button. We 619 00:34:40,360 --> 00:34:42,960 Speaker 1: will keep making big predictions in the coming year that 620 00:34:43,040 --> 00:34:46,520 Speaker 1: I can promise you. Grab my podcast, the Ben Ferguson 621 00:34:46,560 --> 00:34:49,839 Speaker 1: Podcasts on those in between days as well, and I'll 622 00:34:49,920 --> 00:34:51,640 Speaker 1: keep you update on the latest breaking news and the 623 00:34:51,640 --> 00:34:54,120 Speaker 1: Center and I will see you back here for our 624 00:34:54,120 --> 00:34:55,880 Speaker 1: weekend review on Saturday morning.