1 00:00:01,160 --> 00:00:04,000 Speaker 1: Welcome. It is Verdict with Ted Cruz week in Review, 2 00:00:04,080 --> 00:00:06,360 Speaker 1: Ben Ferguson with you, and here are the major stories 3 00:00:06,400 --> 00:00:08,639 Speaker 1: that you may have missed that we talked about this week. 4 00:00:08,760 --> 00:00:13,760 Speaker 1: First up, new intel on the FBI and how involved 5 00:00:13,760 --> 00:00:17,880 Speaker 1: they actually were in creating the Russia hoax. We'll explain 6 00:00:17,960 --> 00:00:20,080 Speaker 1: that to you in just a moment. Also, in a 7 00:00:20,120 --> 00:00:24,760 Speaker 1: new bombshell report, Harvard University having direct ties to the 8 00:00:24,880 --> 00:00:28,639 Speaker 1: Chinese Communist Party and the money they're funneling in is 9 00:00:28,680 --> 00:00:33,920 Speaker 1: truly incredible. And finally, Democrats go on the record with 10 00:00:34,040 --> 00:00:39,400 Speaker 1: official votes becoming more anti Israel than we've ever seen before. 11 00:00:39,880 --> 00:00:43,400 Speaker 1: It's the weekend review and it starts right now. I 12 00:00:43,479 --> 00:00:45,640 Speaker 1: want to move to the other topic that we mentioned earlier, 13 00:00:45,720 --> 00:00:49,280 Speaker 1: and that deals with the FBI right now and new 14 00:00:49,320 --> 00:00:53,680 Speaker 1: intel that's coming out, and I got to say a 15 00:00:53,720 --> 00:00:55,120 Speaker 1: lot of people are going to be shocked by it. 16 00:00:55,480 --> 00:00:58,800 Speaker 1: I'm not surprised at all by this, and I want 17 00:00:58,840 --> 00:01:01,160 Speaker 1: to get your take on now what we're learning about 18 00:01:01,240 --> 00:01:04,800 Speaker 1: the FBI with the Russia Russia Russia hoax and the 19 00:01:04,840 --> 00:01:11,600 Speaker 1: controversial Trump Russia actions predicted with alarming accuracy by foreign actors. 20 00:01:11,680 --> 00:01:13,640 Speaker 1: I mean, you look at this coming out now, and 21 00:01:13,680 --> 00:01:17,600 Speaker 1: it's just a joke. How incredible this whole I call 22 00:01:17,600 --> 00:01:19,800 Speaker 1: it a play. It was a movie. It's a script, 23 00:01:19,840 --> 00:01:22,040 Speaker 1: and everybody was playing on the script that they knew 24 00:01:22,120 --> 00:01:22,520 Speaker 1: was a lie. 25 00:01:23,319 --> 00:01:25,160 Speaker 2: That's right. But I want to take a minute and 26 00:01:25,480 --> 00:01:28,360 Speaker 2: sort of pull the curtain back for our listeners. So 27 00:01:28,400 --> 00:01:31,120 Speaker 2: we do this podcast, and we do this podcast sometimes 28 00:01:31,160 --> 00:01:34,000 Speaker 2: late at night, so it is twelve to fifty five am. 29 00:01:34,440 --> 00:01:37,160 Speaker 2: So look, men is half asleep. To be honest, he's 30 00:01:37,200 --> 00:01:39,480 Speaker 2: been asleep for two hours and we woke him to 31 00:01:39,480 --> 00:01:43,840 Speaker 2: do this. So the headline of this story says that 32 00:01:44,200 --> 00:01:49,600 Speaker 2: it was predicted with alarming specificity. Yes, that's true, and 33 00:01:49,640 --> 00:01:52,480 Speaker 2: I want you all to know. We recorded this, and 34 00:01:52,520 --> 00:01:54,560 Speaker 2: this is one of the advantages doing a podcast. When 35 00:01:54,560 --> 00:01:55,880 Speaker 2: you record it and screw it up, you can just 36 00:01:55,920 --> 00:01:58,880 Speaker 2: stop and rewind and do it again. We recorded it 37 00:01:59,000 --> 00:02:04,160 Speaker 2: and twice Benjamin was unable to say the words specificity. 38 00:02:05,120 --> 00:02:07,840 Speaker 1: He tried a tough ones specific I can't say it now. 39 00:02:07,840 --> 00:02:12,320 Speaker 2: See, And I will confess I kept making it harder 40 00:02:12,360 --> 00:02:15,440 Speaker 2: because I kept saying fescipicity and. 41 00:02:15,840 --> 00:02:17,960 Speaker 1: I can say that word, no problem, right, that that 42 00:02:18,000 --> 00:02:18,600 Speaker 1: one's easy. 43 00:02:19,360 --> 00:02:24,160 Speaker 2: So finally, after after twice crashing and burning on saying specificity. 44 00:02:25,320 --> 00:02:29,440 Speaker 2: He just said with alarming accuracy. By the way, the 45 00:02:29,560 --> 00:02:31,400 Speaker 2: quote is not accuracy, it's specificity. 46 00:02:32,040 --> 00:02:34,600 Speaker 1: But but I didn't say quote unquote. See I covered 47 00:02:34,600 --> 00:02:35,280 Speaker 1: myself there. 48 00:02:35,639 --> 00:02:37,520 Speaker 2: You didn't say the word quote. But I just wanted 49 00:02:37,520 --> 00:02:42,639 Speaker 2: our listeners to know that that that, like the specificity. 50 00:02:41,880 --> 00:02:45,680 Speaker 1: With meal at one am, that is accurate. 51 00:02:45,840 --> 00:02:48,440 Speaker 2: Not one am. It's twelve fifty seven. You got three 52 00:02:48,480 --> 00:02:53,080 Speaker 2: minutes till one am. All right, So let's cover the 53 00:02:53,120 --> 00:02:57,040 Speaker 2: under But but this is the important stuff to understand. Look, 54 00:02:57,080 --> 00:03:01,560 Speaker 2: these these are real human beings. I'm in my DC apartment. 55 00:03:01,639 --> 00:03:04,160 Speaker 2: You're in a hotel room, I think, is that right now? 56 00:03:04,240 --> 00:03:07,800 Speaker 1: I'm I'm in a house in Pinehurst, North Carolina. So 57 00:03:07,919 --> 00:03:09,480 Speaker 1: that's where the World Championships is. 58 00:03:10,520 --> 00:03:13,040 Speaker 2: Look that that that's pretty fancy and sishi. And you've 59 00:03:13,040 --> 00:03:15,440 Speaker 2: got to be up at like six thirty is tea time? 60 00:03:15,520 --> 00:03:15,959 Speaker 2: Is that right? 61 00:03:16,680 --> 00:03:19,760 Speaker 1: It's it's a six eighteen or something absurd. 62 00:03:19,520 --> 00:03:22,560 Speaker 2: Six eighteen all right, Benjamin. While you're at tea time, 63 00:03:22,639 --> 00:03:24,919 Speaker 2: I will be fast asleep, I. 64 00:03:24,919 --> 00:03:30,120 Speaker 1: Believe you, and you'll be dreaming about the alarming specifificity 65 00:03:30,280 --> 00:03:32,120 Speaker 1: the word I can you still can't say it. 66 00:03:32,240 --> 00:03:35,960 Speaker 2: Come on specificity, Just say it once specificity. 67 00:03:36,000 --> 00:03:37,360 Speaker 1: There we go, there we go. 68 00:03:37,440 --> 00:03:39,160 Speaker 2: Look at that. By the way, you know what I 69 00:03:39,160 --> 00:03:40,840 Speaker 2: did Monday on the on the flight to DC. 70 00:03:42,000 --> 00:03:42,880 Speaker 1: Wait, say that again? 71 00:03:43,520 --> 00:03:45,000 Speaker 2: Do you know what I did Monday on the flight 72 00:03:45,040 --> 00:03:45,400 Speaker 2: to DC? 73 00:03:46,240 --> 00:03:47,080 Speaker 1: What did you do? 74 00:03:47,800 --> 00:03:50,240 Speaker 2: I watched Happy Gilmore two. Have you seen that? 75 00:03:50,960 --> 00:03:53,960 Speaker 1: It's so good? It is so good. I love when 76 00:03:53,960 --> 00:03:56,480 Speaker 1: they don't screw when they don't screw up a sequel 77 00:03:56,520 --> 00:04:00,280 Speaker 1: like Top Gun Maverick. They killed it right, Happy gil More. 78 00:04:00,280 --> 00:04:02,080 Speaker 1: It's been happy to. 79 00:04:02,200 --> 00:04:06,120 Speaker 2: Maybe better than Happy Gilmore, like really good. 80 00:04:07,040 --> 00:04:09,000 Speaker 1: And and by the way, did you see it coming? 81 00:04:09,040 --> 00:04:11,760 Speaker 1: Because I did not when hold on spoiler word if 82 00:04:11,800 --> 00:04:13,960 Speaker 1: you haven't been watched it yet, turned down for five seconds? 83 00:04:14,200 --> 00:04:16,200 Speaker 1: When that when he killed his wife with the golf ball? 84 00:04:16,360 --> 00:04:17,960 Speaker 1: Did I did not see that coming? Did you? 85 00:04:18,160 --> 00:04:21,520 Speaker 2: I did not see that coming either. I I will say, 86 00:04:21,560 --> 00:04:24,480 Speaker 2: by the way, as a complete aside, I've gotten to 87 00:04:24,520 --> 00:04:27,960 Speaker 2: know Adam Sandler's producer. You know, he's a big hoops player. 88 00:04:28,560 --> 00:04:31,400 Speaker 2: I gotta tell you. I'm told that Sandler. I've invited 89 00:04:31,480 --> 00:04:33,960 Speaker 2: him come play hoops with with me and he said yes, 90 00:04:34,040 --> 00:04:37,320 Speaker 2: So hadn't happened yet, But I'm actually really psyched because 91 00:04:38,240 --> 00:04:40,600 Speaker 2: Sandler and I are almost exactly the same age, and 92 00:04:40,640 --> 00:04:42,960 Speaker 2: he's a serious ballplayer. And as you know, I play 93 00:04:43,000 --> 00:04:43,840 Speaker 2: hoops twice a week. 94 00:04:45,560 --> 00:04:48,280 Speaker 1: I do. I say, count me in for that game. 95 00:04:48,360 --> 00:04:49,719 Speaker 1: I'd like to be there for that game. 96 00:04:50,320 --> 00:04:53,760 Speaker 2: Okay, don't injure Adam Sandler, Like he is a national 97 00:04:53,760 --> 00:04:57,040 Speaker 2: comedic treasure. And I will say, I've played hoops with you. 98 00:04:57,080 --> 00:04:59,159 Speaker 2: The last time I played hoops with you broke your finger. 99 00:05:00,080 --> 00:05:02,080 Speaker 1: You're a large I'm not worried about him. I'm worried 100 00:05:02,080 --> 00:05:02,480 Speaker 1: about me. 101 00:05:03,680 --> 00:05:07,320 Speaker 2: And you throw your body around pretty physically, which I admire. 102 00:05:07,400 --> 00:05:09,160 Speaker 2: Like I'm like, screw it. If you can't take the heat, 103 00:05:09,200 --> 00:05:11,320 Speaker 2: get out of the kitchen. But I'm just saying, don't 104 00:05:11,320 --> 00:05:12,279 Speaker 2: injure Adam Sandler. 105 00:05:12,920 --> 00:05:15,760 Speaker 1: There you go. That'd be one heck of a headline, right. 106 00:05:16,640 --> 00:05:18,559 Speaker 2: All right, let's get back. We actually had a story 107 00:05:18,600 --> 00:05:20,240 Speaker 2: to do, but I just had to I had to 108 00:05:20,279 --> 00:05:23,920 Speaker 2: call you out because you like magically edited out. You're 109 00:05:23,960 --> 00:05:26,760 Speaker 2: screwing up the word and yeah, so I just had 110 00:05:26,800 --> 00:05:29,000 Speaker 2: to like bring our listeners in and say, you know, 111 00:05:29,080 --> 00:05:32,200 Speaker 2: sometimes the magic of podcast is not exactly what you think. 112 00:05:33,080 --> 00:05:35,479 Speaker 1: All right, Yeah, you know, I'm ready go for it. 113 00:05:35,520 --> 00:05:37,680 Speaker 2: I'm ready good, go ahead, say what you're gonna say. 114 00:05:37,880 --> 00:05:39,600 Speaker 1: No, no, I was gonna say. So this is the 115 00:05:39,640 --> 00:05:41,760 Speaker 1: part that laugh when you when you do radio like 116 00:05:41,800 --> 00:05:44,320 Speaker 1: I did three three hours a day my producer Diaz, 117 00:05:44,360 --> 00:05:47,000 Speaker 1: who does this show as well, when that would happen. 118 00:05:47,279 --> 00:05:50,280 Speaker 1: The worst part is he's just laughing at me through 119 00:05:50,320 --> 00:05:52,560 Speaker 1: the glass on the other side of the wall because 120 00:05:52,560 --> 00:05:54,920 Speaker 1: it's live and there's nothing you can do to fix it, 121 00:05:55,000 --> 00:05:57,279 Speaker 1: and so he just laughs in my face. So now 122 00:05:57,839 --> 00:06:00,400 Speaker 1: this is like my weird revenge because for how many 123 00:06:00,440 --> 00:06:03,000 Speaker 1: years have we worked here Diez twelve, thirteen, fourteen, I 124 00:06:03,040 --> 00:06:05,160 Speaker 1: don't even know how many it is. He just used 125 00:06:05,200 --> 00:06:07,800 Speaker 1: to just laugh at me, and now he actually has 126 00:06:07,839 --> 00:06:09,200 Speaker 1: to go back and fix it. So I'm like, the 127 00:06:09,279 --> 00:06:11,520 Speaker 1: jokes on you, buddy, the jokes on you. So yeah, 128 00:06:11,560 --> 00:06:13,360 Speaker 1: when it's live, there's nothing you can do about it. 129 00:06:13,400 --> 00:06:16,479 Speaker 1: So with all that specificity, the word I can't say 130 00:06:16,560 --> 00:06:19,479 Speaker 1: is still denying. For some reason, let's get back to 131 00:06:19,520 --> 00:06:19,880 Speaker 1: the event. 132 00:06:20,040 --> 00:06:23,520 Speaker 2: I still have reported on this story with alarming fesipicity, 133 00:06:25,279 --> 00:06:27,800 Speaker 2: And let me read from the Fox News story quote, 134 00:06:28,480 --> 00:06:31,760 Speaker 2: US intelligence has credible foreign sources indicating that the FBI 135 00:06:31,839 --> 00:06:35,279 Speaker 2: would play a role in spreading the salacious Trump Russia 136 00:06:35,320 --> 00:06:41,240 Speaker 2: collusion narrative before the bureau ever launched its controversial Crossfire 137 00:06:41,320 --> 00:06:44,880 Speaker 2: Hurricane probe, sources familiar with the intel told Fox News 138 00:06:44,920 --> 00:06:50,479 Speaker 2: Digital see I director John Ratcliffe is expected to declassify 139 00:06:50,520 --> 00:06:55,760 Speaker 2: the underlying intelligence, including a classified annex related to former 140 00:06:55,800 --> 00:06:59,800 Speaker 2: Special Counsel John Durham's investigation into the origins of the 141 00:06:59,839 --> 00:07:03,640 Speaker 2: Trump Russia probe. A source familiar with the contents of 142 00:07:03,640 --> 00:07:06,720 Speaker 2: the class Fight annex told Fox News Digital that while 143 00:07:06,760 --> 00:07:09,120 Speaker 2: it may not have been exactly clear in the moment 144 00:07:09,320 --> 00:07:13,480 Speaker 2: what the intelligent collection meant, with the benefit of hindsight, 145 00:07:13,640 --> 00:07:19,840 Speaker 2: it predicted the FBI's move with alarming specificity, and it 146 00:07:19,880 --> 00:07:20,400 Speaker 2: goes on to. 147 00:07:20,360 --> 00:07:22,000 Speaker 1: Say, there's your quote. 148 00:07:22,240 --> 00:07:26,880 Speaker 2: There you go quote. Ultimately, the release of the classifight 149 00:07:26,960 --> 00:07:29,720 Speaker 2: annex will lend more credibility to the assertion that there 150 00:07:29,760 --> 00:07:33,679 Speaker 2: was a coordinated plan inside the US government to help 151 00:07:33,760 --> 00:07:38,240 Speaker 2: the Clinton campaign stir up controversy connecting Trump to Russia. 152 00:07:38,400 --> 00:07:40,640 Speaker 2: The source who was granted anonymity to discussed the sense 153 00:07:40,680 --> 00:07:43,920 Speaker 2: of intelligence matters that have not yet been made public, 154 00:07:43,960 --> 00:07:48,640 Speaker 2: told Fox News Digital Quote mere days after this intelligence 155 00:07:48,720 --> 00:07:55,840 Speaker 2: was collected the FBI launched Crossfire Hurricane. The source said, quote, 156 00:07:56,440 --> 00:08:00,160 Speaker 2: it is really hard to see how Brennan, Clapper and 157 00:08:00,280 --> 00:08:03,280 Speaker 2: Comy are going to be able to explain this away. 158 00:08:04,200 --> 00:08:06,640 Speaker 1: You put that in perspective, and I think it's fair 159 00:08:06,680 --> 00:08:09,320 Speaker 1: to say at this point, everything we were hearing during 160 00:08:09,360 --> 00:08:12,320 Speaker 1: the back of the day on this it was all 161 00:08:12,400 --> 00:08:15,760 Speaker 1: just straight up government propaganda and the media was one 162 00:08:15,880 --> 00:08:17,360 Speaker 1: hundred percent in on it. 163 00:08:18,760 --> 00:08:21,960 Speaker 2: Well, it was not just government propaganda. It was driven 164 00:08:22,080 --> 00:08:25,680 Speaker 2: by the Hillary Clinton campaign. It was opposition research that 165 00:08:25,720 --> 00:08:28,720 Speaker 2: they paid for and then they gave to the Obama 166 00:08:28,800 --> 00:08:31,760 Speaker 2: administration to launder it. They laundered it through the FBI, 167 00:08:31,840 --> 00:08:34,880 Speaker 2: They laundered it through the Department of Justice, and in 168 00:08:34,920 --> 00:08:38,199 Speaker 2: it was the federal government attacking Donald Trump because they 169 00:08:38,240 --> 00:08:41,679 Speaker 2: did not want Donald Donald Trump to be president. And 170 00:08:42,240 --> 00:08:48,679 Speaker 2: the degree to which the government was complicit in partisan politics, 171 00:08:48,679 --> 00:08:51,960 Speaker 2: but not just partisan politics, partisan politics. That was false. 172 00:08:52,320 --> 00:08:56,160 Speaker 2: That was a lie. This was made up. The Russia 173 00:08:56,160 --> 00:09:00,520 Speaker 2: hoax was a hoax. It was concocted through the Hillary 174 00:09:00,559 --> 00:09:04,520 Speaker 2: Clinton campaign. It was laundered through the FBI and the 175 00:09:04,559 --> 00:09:07,960 Speaker 2: Department of Justice, and it was a lie. That was 176 00:09:08,000 --> 00:09:11,800 Speaker 2: a political attack job. And I want to commend John Ratcliffe, 177 00:09:11,960 --> 00:09:15,280 Speaker 2: the head of CIA, a good friend of mine, for 178 00:09:15,400 --> 00:09:22,000 Speaker 2: making this public, for drawing accountability and truth to what occurred. 179 00:09:23,360 --> 00:09:25,160 Speaker 1: What do you think is going to come from this? 180 00:09:25,280 --> 00:09:27,960 Speaker 1: Because there's so many I think just gruntled and frustrated 181 00:09:28,000 --> 00:09:30,040 Speaker 1: Americans that hear those things and like, all right, we're 182 00:09:30,120 --> 00:09:33,280 Speaker 1: now getting more and more confirmation this happened. Will there 183 00:09:33,360 --> 00:09:36,840 Speaker 1: be any real accountability? And does this move us closer 184 00:09:36,840 --> 00:09:38,280 Speaker 1: to that? So? 185 00:09:38,400 --> 00:09:41,160 Speaker 2: I hope so that there needs to be accountability. And 186 00:09:41,679 --> 00:09:45,040 Speaker 2: I will say, you have Tulca Gabbard who released her 187 00:09:45,200 --> 00:09:52,520 Speaker 2: bombshell information about the degree of the complicity of the administration, 188 00:09:52,880 --> 00:09:56,400 Speaker 2: And if you didn't hear our podcast last week on this, 189 00:09:56,480 --> 00:09:59,880 Speaker 2: you should listen to the podcast on Tulsi Gabbert's bombshell information. 190 00:10:00,840 --> 00:10:03,880 Speaker 2: I hope there is accountability. I call on on the 191 00:10:03,880 --> 00:10:06,080 Speaker 2: Department of Justice. I also had when I was having 192 00:10:06,160 --> 00:10:08,840 Speaker 2: drinks with the Army Secretary, I also had drinks with 193 00:10:08,880 --> 00:10:11,480 Speaker 2: the Deputy Attorney General of the United States, and so 194 00:10:11,520 --> 00:10:15,960 Speaker 2: I was urging DOJ follow the facts and prosecute anyone 195 00:10:15,960 --> 00:10:19,520 Speaker 2: who is complicit. There are challenges because some of the 196 00:10:19,559 --> 00:10:23,040 Speaker 2: people who were involved in this, their criminal conduct was 197 00:10:23,080 --> 00:10:26,200 Speaker 2: before the statute of limitations expired, and so it is 198 00:10:26,280 --> 00:10:30,160 Speaker 2: harder to prosecute someone who committed criminal conduct after the 199 00:10:30,160 --> 00:10:34,439 Speaker 2: statute limitations has expired. Andrew McCabe, who was the Deputy 200 00:10:34,440 --> 00:10:38,920 Speaker 2: Director of the FBI, he testified before Congress. He testified falsely, 201 00:10:38,960 --> 00:10:41,760 Speaker 2: and the statute of limitations has not yet expired on 202 00:10:41,800 --> 00:10:44,840 Speaker 2: his testimony. So if I were to predict the single 203 00:10:44,920 --> 00:10:49,199 Speaker 2: most likely person in the Obama administration of face prosecution, 204 00:10:49,240 --> 00:10:52,240 Speaker 2: it would be Andrew McCabe, because there's still a window 205 00:10:52,320 --> 00:10:56,000 Speaker 2: where he lied to Congress and it's within the statute limitations. 206 00:10:56,040 --> 00:10:58,040 Speaker 1: Really incredible. We're going to keep you update on all this. 207 00:10:58,080 --> 00:11:00,040 Speaker 1: Don't forget to hit that subscribe or auto day. I 208 00:11:00,080 --> 00:11:02,560 Speaker 1: will button share this podcast and please run us a 209 00:11:02,559 --> 00:11:04,679 Speaker 1: five star review. It helps us reach more people out 210 00:11:04,679 --> 00:11:06,640 Speaker 1: there on the charts and the center, and I will 211 00:11:06,679 --> 00:11:08,760 Speaker 1: see you back here in a couple of days. Now, 212 00:11:08,760 --> 00:11:11,000 Speaker 1: if you want to hear the rest of this conversation, 213 00:11:11,240 --> 00:11:13,599 Speaker 1: you can go back and listen to the full podcast 214 00:11:13,679 --> 00:11:18,120 Speaker 1: from earlier this week. Now onto story number two, Senator, 215 00:11:18,120 --> 00:11:21,080 Speaker 1: I want to move to this new report that's come out, 216 00:11:21,320 --> 00:11:25,600 Speaker 1: and it is something that we have been really like 217 00:11:25,920 --> 00:11:28,920 Speaker 1: raising the flag on saying pay attention to this, be 218 00:11:29,040 --> 00:11:32,280 Speaker 1: careful where you send your kids to college, Be careful 219 00:11:32,320 --> 00:11:35,400 Speaker 1: that they're going to be indoctrinated to hate America, and 220 00:11:35,640 --> 00:11:38,120 Speaker 1: be careful where you send your kids because there's a 221 00:11:38,160 --> 00:11:41,559 Speaker 1: lot of money that's coming in from countries that are 222 00:11:41,559 --> 00:11:45,840 Speaker 1: trying to undermine America and hate America. We're now seeing 223 00:11:45,880 --> 00:11:50,920 Speaker 1: more of this at Harvard, with Harvard's ties now directly 224 00:11:51,000 --> 00:11:55,160 Speaker 1: to the Chinese Communist Party elites. That has been revealed 225 00:11:55,240 --> 00:11:58,520 Speaker 1: on a level we haven't seen before, and it's even 226 00:11:58,600 --> 00:12:02,040 Speaker 1: more shocking of where Harvard's getting their cash. And look, 227 00:12:02,160 --> 00:12:05,640 Speaker 1: China is not doing this because they like Harvard. They're 228 00:12:05,720 --> 00:12:06,800 Speaker 1: clearly doing it for. 229 00:12:06,840 --> 00:12:11,839 Speaker 2: Influence, unquestionably, and you know, some have criticized the Trump 230 00:12:11,840 --> 00:12:16,080 Speaker 2: administration going after Harvard University. Harvard is the most influential 231 00:12:16,200 --> 00:12:20,800 Speaker 2: university on the face of the planet, and it also 232 00:12:21,080 --> 00:12:23,920 Speaker 2: many universities in America have been in bed with the 233 00:12:24,000 --> 00:12:29,080 Speaker 2: Chinese Communist Party. The Chinese government spends millions of dollars 234 00:12:29,120 --> 00:12:32,960 Speaker 2: trying to get influence and trying to brainwash our students, 235 00:12:33,000 --> 00:12:36,640 Speaker 2: trying to control our universities, and far too many universities 236 00:12:36,640 --> 00:12:39,160 Speaker 2: have been really eager to participate in that, and Harvard 237 00:12:39,160 --> 00:12:41,280 Speaker 2: has been right at the front of the list. Well 238 00:12:41,360 --> 00:12:44,319 Speaker 2: this week that the House of Representatives has an investigation 239 00:12:44,600 --> 00:12:46,400 Speaker 2: and they sent a letter to the President of Harvard. 240 00:12:46,400 --> 00:12:48,800 Speaker 2: This is a letter from John Mullinar, who is the 241 00:12:48,840 --> 00:12:51,480 Speaker 2: chairman of the Select Committee on the CCP in the House. 242 00:12:52,000 --> 00:12:54,240 Speaker 2: It's from Tim Wahlberg, who's the chairman of the House 243 00:12:54,240 --> 00:12:57,680 Speaker 2: Committee on Education and Workforce. And it's from Elie Steffonic, 244 00:12:57,679 --> 00:13:01,880 Speaker 2: who's the chairwoman of House Republican Leadership. And here's what 245 00:13:01,880 --> 00:13:04,200 Speaker 2: the letter says. It's addressed to the President of Harvard University, 246 00:13:04,240 --> 00:13:08,160 Speaker 2: Alan Garber, and it says, Dear President Garber, the Select 247 00:13:08,160 --> 00:13:10,280 Speaker 2: Committee on the Chinese Communist Party and the Committee on 248 00:13:10,400 --> 00:13:13,520 Speaker 2: Education and Workforce have identified new evidence related to Harvard 249 00:13:13,600 --> 00:13:18,440 Speaker 2: University's connections to the Chinese Communist Party and request additional information. 250 00:13:19,480 --> 00:13:23,480 Speaker 2: During our investigation, multiple whistleblowers told us that Harvard has 251 00:13:23,520 --> 00:13:31,000 Speaker 2: maintained close formal relationships directly with Chinese Communist Party entities. Specifically, 252 00:13:31,520 --> 00:13:36,440 Speaker 2: whistleblower information revealed ties between Harvard and the Central Organization 253 00:13:36,640 --> 00:13:40,240 Speaker 2: Department of the Central Committee of the CCP, as well 254 00:13:40,280 --> 00:13:44,680 Speaker 2: as certain Chinese government entities. The CCP Organization Department is 255 00:13:44,679 --> 00:13:47,120 Speaker 2: one of the most powerful bodies within the Communist Party. 256 00:13:47,800 --> 00:13:52,439 Speaker 2: It is responsible for the regimated, regimented training program centered 257 00:13:52,520 --> 00:13:57,439 Speaker 2: on Shijingping thought provided to the party elites, and controls 258 00:13:57,520 --> 00:14:01,920 Speaker 2: the placement of CCP members in keilh leadership positions. The 259 00:14:01,960 --> 00:14:07,040 Speaker 2: whistleblowers also revealed that Harvard cultivates ties with elite CCP members. 260 00:14:07,559 --> 00:14:11,600 Speaker 2: For example, whistleblowers reveal that the Harvard Kennedy School hosts 261 00:14:11,640 --> 00:14:16,320 Speaker 2: a formal partnership with the Chinese Executive Leadership Academy Poodong, 262 00:14:17,040 --> 00:14:21,800 Speaker 2: which is controlled by the CCP Organization Department. Under that partnership, 263 00:14:22,160 --> 00:14:25,280 Speaker 2: the rising CCP elite, who are being prepared for senior 264 00:14:25,360 --> 00:14:31,520 Speaker 2: Communist Party leadership positions, participate in training at Harvard in 265 00:14:31,560 --> 00:14:36,040 Speaker 2: the United States. Additional publicly available information indicates that some 266 00:14:36,120 --> 00:14:39,240 Speaker 2: of these relationships have been in place for at least 267 00:14:39,440 --> 00:14:42,960 Speaker 2: a decade. In twenty sixteen, a high ranking member of 268 00:14:42,960 --> 00:14:46,320 Speaker 2: the Chinese Academy of Social Sciences stated that Chinese Quote 269 00:14:46,760 --> 00:14:52,120 Speaker 2: Party and government cadres participate in education and training run 270 00:14:52,200 --> 00:14:56,200 Speaker 2: by the CCP Organization Department. The Chinese government sends some 271 00:14:56,320 --> 00:14:59,680 Speaker 2: cadres ABA abroad to the John F. Kennedy School of 272 00:14:59,720 --> 00:15:06,000 Speaker 2: Governm at Harvard University. This is shocking and it certainly 273 00:15:06,080 --> 00:15:10,560 Speaker 2: appears from this investigation. And they request all documents related 274 00:15:10,560 --> 00:15:13,200 Speaker 2: to any engagement between Harvard and the CCP and the 275 00:15:13,200 --> 00:15:16,640 Speaker 2: government of China, and a list of all money that 276 00:15:16,680 --> 00:15:20,040 Speaker 2: has come from China and the Chinese government. And my 277 00:15:20,160 --> 00:15:22,440 Speaker 2: prediction is Harvard is going to fight tooth and nail 278 00:15:22,560 --> 00:15:24,840 Speaker 2: not to turn this over because they don't want people 279 00:15:24,840 --> 00:15:29,400 Speaker 2: to know just how eager they have been to be 280 00:15:29,480 --> 00:15:33,360 Speaker 2: in bed with the communists running the Chinese government. 281 00:15:33,800 --> 00:15:36,240 Speaker 1: Can we also just be very queer, like China doesn't 282 00:15:36,280 --> 00:15:38,880 Speaker 1: do this because they like higher education or they're just 283 00:15:38,920 --> 00:15:41,400 Speaker 1: trying to get let's say they're students in That would 284 00:15:41,440 --> 00:15:44,120 Speaker 1: be like the most g rated version of the story 285 00:15:44,120 --> 00:15:47,840 Speaker 1: that you could tell. They're doing this to buy genuine 286 00:15:47,880 --> 00:15:51,400 Speaker 1: influence at the highest levels in academia and America. And 287 00:15:51,880 --> 00:15:55,920 Speaker 1: also this could have major consequences for the US when 288 00:15:55,960 --> 00:15:59,840 Speaker 1: it comes to national security or spies and countless other 289 00:16:00,040 --> 00:16:02,880 Speaker 1: infiltration activities that they're part of all the time. 290 00:16:03,480 --> 00:16:08,080 Speaker 2: Look, that's exactly right. You look at Harvard trains many 291 00:16:08,080 --> 00:16:11,280 Speaker 2: of our nation's elite. For example, I just typed in 292 00:16:11,360 --> 00:16:15,440 Speaker 2: a a quick list on on on Ai how many 293 00:16:15,520 --> 00:16:19,200 Speaker 2: senators went to Harvard, and Ai promptly gave me an answer. 294 00:16:19,200 --> 00:16:22,840 Speaker 2: There are currently twelve Senators who are Harvard alumni. And 295 00:16:22,920 --> 00:16:25,480 Speaker 2: I will admit sadly that it came back and says 296 00:16:25,520 --> 00:16:28,640 Speaker 2: the list includes individuals like Ted Cruz, Tim Kane, Jack Reed, 297 00:16:28,720 --> 00:16:31,240 Speaker 2: Chuck Schumer, and Mitt Romney. So so I'm a little 298 00:16:31,280 --> 00:16:34,240 Speaker 2: embarrassed to be the first name on that list. Uh. 299 00:16:34,280 --> 00:16:37,040 Speaker 2: But that is part of the reason that that that 300 00:16:37,040 --> 00:16:41,080 Speaker 2: that Harvard puts that that Harvard, that China puts that 301 00:16:41,160 --> 00:16:45,920 Speaker 2: money into Harvard, into Columbia, into elite universities across this country, 302 00:16:46,160 --> 00:16:49,080 Speaker 2: is they want to train America's leaders. They want to 303 00:16:49,120 --> 00:16:51,600 Speaker 2: train members of Congress, they want to train members of 304 00:16:51,640 --> 00:16:53,840 Speaker 2: the executive branch, they want to train federal judges. They 305 00:16:53,880 --> 00:16:57,240 Speaker 2: want to train the foreign pologies apparatus uh and and 306 00:16:57,240 --> 00:16:59,520 Speaker 2: and they are trying to train them uh and and 307 00:16:59,560 --> 00:17:02,800 Speaker 2: they're trying into propaganda as they use this for brainwashing, 308 00:17:02,840 --> 00:17:07,040 Speaker 2: they use this for espionage. And and far too many 309 00:17:07,040 --> 00:17:09,439 Speaker 2: of our universities have been so eager to take the 310 00:17:09,520 --> 00:17:13,720 Speaker 2: money that that that they have welcomed Chinese communists with 311 00:17:13,760 --> 00:17:14,399 Speaker 2: open arms. 312 00:17:15,080 --> 00:17:18,119 Speaker 1: When you look at where they are right now and 313 00:17:18,160 --> 00:17:21,240 Speaker 1: you look at Harvard. Is this just about the money, 314 00:17:21,280 --> 00:17:23,200 Speaker 1: do you think? Or is this also about the fact 315 00:17:23,720 --> 00:17:27,000 Speaker 1: that Harvard has no problem agreeing on a lot of 316 00:17:27,040 --> 00:17:28,000 Speaker 1: issues with China. 317 00:17:28,760 --> 00:17:31,680 Speaker 2: Well, it's both and and listen, the Harvard faculty is 318 00:17:31,680 --> 00:17:34,560 Speaker 2: is hard left. One one point I've said many times 319 00:17:34,600 --> 00:17:36,600 Speaker 2: is that when I was a student at Harvard Law School, 320 00:17:37,280 --> 00:17:42,240 Speaker 2: there were more professors who were Communists than there were 321 00:17:42,280 --> 00:17:45,359 Speaker 2: who were Republicans. And that's not hyperbole. That there were 322 00:17:45,359 --> 00:17:49,280 Speaker 2: at least a dozen professors who openly said they were Marxists, 323 00:17:49,280 --> 00:17:51,720 Speaker 2: that they were followers of the teachers teachings of Karl 324 00:17:51,800 --> 00:17:54,960 Speaker 2: Marx and and followers of you know, Karl Marx is 325 00:17:55,000 --> 00:17:57,719 Speaker 2: the father of communism. That when I was a student, 326 00:17:57,760 --> 00:18:01,040 Speaker 2: there there was only one professor who owned openly identified 327 00:18:01,080 --> 00:18:04,760 Speaker 2: as Republican. That was Charles Freed. And by the way, 328 00:18:04,880 --> 00:18:08,040 Speaker 2: Charles Freed, the loan Republican on the faculty voted for 329 00:18:08,080 --> 00:18:11,160 Speaker 2: Barack Obama, so so their loan Republican voted for Obama 330 00:18:11,200 --> 00:18:14,639 Speaker 2: as well. That that was the range of thought thirty 331 00:18:14,760 --> 00:18:19,480 Speaker 2: years ago, and it is much much worse now, as 332 00:18:19,520 --> 00:18:22,399 Speaker 2: you know, my most recent book is entitled Unwoke, How 333 00:18:22,440 --> 00:18:26,280 Speaker 2: to Defeat Cultural Marxism in America, And the opening chapter 334 00:18:26,480 --> 00:18:32,199 Speaker 2: talks about cultural Marxism, how it it grew at Harvard University, 335 00:18:32,200 --> 00:18:34,800 Speaker 2: it spread to universities throughout this country. It spread to 336 00:18:34,840 --> 00:18:37,920 Speaker 2: K through twelve, education, to journalism, to big business, to 337 00:18:38,000 --> 00:18:41,639 Speaker 2: big tech, to entertainment. Uh and and and sadly, you know, 338 00:18:41,680 --> 00:18:46,000 Speaker 2: I called the universities the Wuhan lab of the Woke 339 00:18:46,119 --> 00:18:49,960 Speaker 2: virus because they're where it was created, They're where it mutated, 340 00:18:50,000 --> 00:18:53,760 Speaker 2: and they're where it spread. And and and Harvard was 341 00:18:53,600 --> 00:18:56,600 Speaker 2: it was ground zero uh for that spread. 342 00:18:57,119 --> 00:18:59,840 Speaker 1: Final question on this, will Congress be able to really 343 00:19:00,160 --> 00:19:04,159 Speaker 1: anything on this issue to stop this type of money 344 00:19:04,160 --> 00:19:06,880 Speaker 1: coming into these universities? Look? 345 00:19:07,040 --> 00:19:07,440 Speaker 2: I hope. 346 00:19:07,480 --> 00:19:07,560 Speaker 1: So. 347 00:19:07,680 --> 00:19:09,760 Speaker 2: One of the very first pieces of legislation that I 348 00:19:09,800 --> 00:19:14,919 Speaker 2: passed thirteen years ago was legislation that banned Defense Department 349 00:19:15,040 --> 00:19:19,800 Speaker 2: money from going to universities that have Confucius institutes. Confucius 350 00:19:19,880 --> 00:19:23,280 Speaker 2: institutes were paid for by the Chinese Communist government. They 351 00:19:23,400 --> 00:19:26,400 Speaker 2: were at universities all over the country. I got that through, 352 00:19:26,440 --> 00:19:28,560 Speaker 2: I got that passed and signed into law. I actually 353 00:19:28,600 --> 00:19:32,520 Speaker 2: got bipartisan support for it. And as a result, dozens 354 00:19:32,520 --> 00:19:35,439 Speaker 2: of Confucius institutes shut down all over the country. So 355 00:19:35,480 --> 00:19:39,520 Speaker 2: we can make a real impact. I've got more legislation 356 00:19:39,680 --> 00:19:43,639 Speaker 2: to require transparency of foreign money going to universities. We 357 00:19:43,680 --> 00:19:46,360 Speaker 2: ought to know about it. And look, the Trump administration 358 00:19:47,119 --> 00:19:50,800 Speaker 2: is trying hard to expose this and to stop it, 359 00:19:50,960 --> 00:19:52,560 Speaker 2: and I salute the President for doing that. 360 00:19:52,960 --> 00:19:54,879 Speaker 1: As before, if you want to hear the rest of 361 00:19:54,880 --> 00:19:57,800 Speaker 1: this conversation on this topic, you can go back and 362 00:19:57,840 --> 00:20:00,320 Speaker 1: dow the podcasts from earlier this week to here the 363 00:20:00,480 --> 00:20:03,840 Speaker 1: entire thing. I want to get back to the big 364 00:20:04,040 --> 00:20:06,080 Speaker 1: story number three of the week you may have missed. 365 00:20:06,600 --> 00:20:08,639 Speaker 1: I want to get to this other big issue, and 366 00:20:08,640 --> 00:20:13,080 Speaker 1: that is Democrats are not just abandoning Israel. They are 367 00:20:13,160 --> 00:20:17,000 Speaker 1: straight up anti Israel, and they're showing it now as 368 00:20:17,080 --> 00:20:20,560 Speaker 1: they're voting. A record number of Senate Democrats are going 369 00:20:20,640 --> 00:20:25,399 Speaker 1: to block weapons sales to Israel. They're doing it numbers 370 00:20:25,440 --> 00:20:28,719 Speaker 1: we've never seen before. And this on top of the 371 00:20:28,720 --> 00:20:32,159 Speaker 1: fact that The New York Times has had to basically 372 00:20:32,440 --> 00:20:36,400 Speaker 1: correct the claim about a viral photo of a starving 373 00:20:36,520 --> 00:20:39,879 Speaker 1: Gaza boy they blamed on Israel and actually wasn't true 374 00:20:39,880 --> 00:20:42,879 Speaker 1: at all, and they didn't correct it like in the paper. 375 00:20:43,000 --> 00:20:46,160 Speaker 1: They did it on X on their PR account that 376 00:20:46,480 --> 00:20:49,879 Speaker 1: no one follows this is now how bad it's gotten 377 00:20:50,040 --> 00:20:51,920 Speaker 1: not only in the media but also in DC. 378 00:20:52,800 --> 00:20:54,639 Speaker 2: Well, you know, when I arrived in the Senate thirteen 379 00:20:54,720 --> 00:20:58,960 Speaker 2: years ago, there was meaningful bipartisan support for Israel. It 380 00:20:58,960 --> 00:21:01,000 Speaker 2: was one of the issues that you see Republicans and 381 00:21:01,080 --> 00:21:06,359 Speaker 2: Democrats come together. Twenty thirteen, when I got here was 382 00:21:06,400 --> 00:21:08,600 Speaker 2: the beginning of the second term of Barack Obama, and 383 00:21:08,600 --> 00:21:12,479 Speaker 2: Barack Obama began to turn the Democrat Party against Israel. 384 00:21:13,760 --> 00:21:17,640 Speaker 2: That turn accelerated dramatically during the Biden administration, and Joe 385 00:21:17,680 --> 00:21:21,000 Speaker 2: Biden ended up being the most anti Israel president and 386 00:21:21,040 --> 00:21:24,199 Speaker 2: the most anti Israel administration we've ever seen. Joe Biden, 387 00:21:24,720 --> 00:21:26,879 Speaker 2: in the midst of a war that Israel was in, 388 00:21:28,040 --> 00:21:31,160 Speaker 2: cut off weapons, froze weapons to Israel, and did so 389 00:21:31,320 --> 00:21:35,600 Speaker 2: specifically to prevent Israel from killing terrorists Hamas, terrorists who 390 00:21:35,680 --> 00:21:39,640 Speaker 2: had attacked Israel viciously in one of the most horrific 391 00:21:39,720 --> 00:21:44,160 Speaker 2: terrorist attack in world history October seventh, where Hamas murdered 392 00:21:44,200 --> 00:21:50,200 Speaker 2: over twelve hundred civilians, targeted civilians, directly, raped and murdered women, 393 00:21:50,359 --> 00:21:54,560 Speaker 2: and little girls, and the Democrats, looking at the aftermath 394 00:21:54,640 --> 00:21:58,040 Speaker 2: of this, more and more of them decided they stand 395 00:21:58,040 --> 00:22:02,680 Speaker 2: with Hamas, and sadly, there is a real and growing 396 00:22:02,880 --> 00:22:07,480 Speaker 2: pro Hamas contingent of the Democrat Party today. This week 397 00:22:08,200 --> 00:22:11,639 Speaker 2: Bernie Sanders brought a resolution trying to block weapons sales 398 00:22:11,640 --> 00:22:15,639 Speaker 2: to Israel. Now, Bernie Sanders has been rabidly anti Israel 399 00:22:15,680 --> 00:22:19,000 Speaker 2: for a long time. Most left wing socialists and Marxist are, 400 00:22:20,040 --> 00:22:23,919 Speaker 2: but Bernie Sanders resolutions trying to cut off Israel usually failed, 401 00:22:23,960 --> 00:22:26,840 Speaker 2: and usually failed with a big, big vote. Well, this 402 00:22:26,880 --> 00:22:29,720 Speaker 2: week the Senate rejected it again, and we rejected it 403 00:22:29,720 --> 00:22:32,359 Speaker 2: by a vote of seventy to twenty seven. But there 404 00:22:32,400 --> 00:22:37,080 Speaker 2: were twenty seven votes in favor of Bernie Sanders's resolution. 405 00:22:37,200 --> 00:22:40,359 Speaker 2: There are only forty seven Democrats in the Senate. That 406 00:22:40,440 --> 00:22:44,960 Speaker 2: means more than half of the Senate Democrats voted to 407 00:22:45,040 --> 00:22:47,879 Speaker 2: cut off funding for Israel. That is a dramatic shift. 408 00:22:47,920 --> 00:22:50,920 Speaker 2: And by the way, if you compare it to in April, 409 00:22:51,520 --> 00:22:55,040 Speaker 2: we had a similar vote and only fifteen Democrats voted 410 00:22:55,040 --> 00:22:58,280 Speaker 2: for it. In November of twenty twenty four, eighteen Democrats 411 00:22:58,320 --> 00:23:02,040 Speaker 2: voted for it, So moving up to twenty seven is 412 00:23:02,200 --> 00:23:06,440 Speaker 2: a major shift, and and and it is a disturbing 413 00:23:06,560 --> 00:23:11,639 Speaker 2: pattern where when faced with a choice, do we support 414 00:23:11,680 --> 00:23:15,679 Speaker 2: Hamas or do we support Israel, more and more Democrats 415 00:23:15,680 --> 00:23:19,280 Speaker 2: they're afraid of the AOC's, they're afraid of the Ilhan Omars, 416 00:23:19,280 --> 00:23:22,200 Speaker 2: they're afraid of the Rashida Talib's in the House, the 417 00:23:22,520 --> 00:23:26,240 Speaker 2: the pro Hamas squad, and they're also afraid of the 418 00:23:26,320 --> 00:23:30,160 Speaker 2: radical protesters on college campuses. Understand, those protesters are funded 419 00:23:30,160 --> 00:23:32,479 Speaker 2: by George Soros. They're funded by the same people who 420 00:23:32,560 --> 00:23:36,080 Speaker 2: fund the Democrat Party. And more and more elected Democrats 421 00:23:36,080 --> 00:23:40,040 Speaker 2: have decided that that that they will not anger the 422 00:23:40,119 --> 00:23:42,560 Speaker 2: pro Hamas radicals and and and so I've got to 423 00:23:42,600 --> 00:23:46,560 Speaker 2: say it is sad to see. Uh, but let me 424 00:23:46,560 --> 00:23:47,200 Speaker 2: ask you a question. 425 00:23:47,320 --> 00:23:50,000 Speaker 1: By the way you mentioned yeah, well, and let me 426 00:23:50,000 --> 00:23:53,159 Speaker 1: ask you this. So, look, we know that there's more 427 00:23:53,720 --> 00:23:56,119 Speaker 1: people on the House side, so you'll get some you know, 428 00:23:56,280 --> 00:23:59,480 Speaker 1: fringe groups in the House side on the Democratic Party. Uh, 429 00:23:59,720 --> 00:24:03,840 Speaker 1: even like more hardcore conservacy in the past with conservative caucuses, 430 00:24:04,480 --> 00:24:08,280 Speaker 1: you can see numbers move there. The Senate's kind of 431 00:24:08,320 --> 00:24:12,200 Speaker 1: been like the place of elder statesmen, and like there's 432 00:24:12,240 --> 00:24:15,280 Speaker 1: certain issues that you kind of just see that like, hey, 433 00:24:15,320 --> 00:24:17,920 Speaker 1: we're going to be the adults in the room. I 434 00:24:18,480 --> 00:24:21,200 Speaker 1: think that's the scariest part of these votes I'm witnessing 435 00:24:21,280 --> 00:24:25,119 Speaker 1: now is this has moved from the House and the 436 00:24:25,200 --> 00:24:27,639 Speaker 1: radicals there that you kind of expected through that the 437 00:24:27,680 --> 00:24:31,040 Speaker 1: AOC and her group, right, you expect it. But now 438 00:24:31,080 --> 00:24:35,760 Speaker 1: it's moved into the Senate Chamber. And that is really 439 00:24:35,800 --> 00:24:38,640 Speaker 1: I think telling about the anti semitism of the Democratic Party. 440 00:24:38,640 --> 00:24:39,080 Speaker 1: Am I wrong? 441 00:24:39,119 --> 00:24:43,720 Speaker 2: More than half of the Senate Democrats voted to cut 442 00:24:43,720 --> 00:24:46,960 Speaker 2: off military funding for Israel. That's a milestone that's never 443 00:24:47,000 --> 00:24:49,359 Speaker 2: happened before. And by the way, it happened at the 444 00:24:49,400 --> 00:24:54,440 Speaker 2: exact same time that we saw three governments worldwide, governments 445 00:24:54,480 --> 00:24:57,679 Speaker 2: of US allies but that are led by leftists, the 446 00:24:57,720 --> 00:25:00,760 Speaker 2: government of the United Kingdom, the Government France, and the 447 00:25:00,800 --> 00:25:05,000 Speaker 2: government of Canada all came out in favor of recognizing 448 00:25:05,000 --> 00:25:07,880 Speaker 2: an independent Palestinian state. And I want you to think 449 00:25:07,920 --> 00:25:11,080 Speaker 2: about the message that the UK and France and Canada 450 00:25:11,119 --> 00:25:14,680 Speaker 2: are saying. They're saying to Hamas, your terrorism worked. They're 451 00:25:14,720 --> 00:25:18,680 Speaker 2: saying to Hamas, We're glad you murdered twelve hundred innocent civilians. 452 00:25:18,720 --> 00:25:21,480 Speaker 2: We're glad you raped women and little girls. By the way, 453 00:25:21,520 --> 00:25:24,199 Speaker 2: they're also saying to Hamas, we're glad you continue to 454 00:25:24,320 --> 00:25:28,080 Speaker 2: keep hostages to this day. You do not release the hostages. 455 00:25:28,520 --> 00:25:32,680 Speaker 2: They're saying to Hamas, we're glad you're responsible for starving 456 00:25:32,760 --> 00:25:36,959 Speaker 2: Palestinians and Gaza. Understand that the human suffering in Gaza 457 00:25:37,040 --> 00:25:39,720 Speaker 2: is the direct result of Hamas. Hamas could end this 458 00:25:39,880 --> 00:25:42,679 Speaker 2: right now. And Donald Trump, by contrast, put out a 459 00:25:42,680 --> 00:25:45,159 Speaker 2: tweet this week and he said Hamas could end the 460 00:25:45,440 --> 00:25:49,919 Speaker 2: suffering right now by stopping fighting and releasing the hostages. 461 00:25:49,960 --> 00:25:54,080 Speaker 2: They don't want to, and in fact, Hamas is actively negotiating, 462 00:25:54,080 --> 00:25:57,400 Speaker 2: you know what, they're negotiating for cut off food aid 463 00:25:58,680 --> 00:26:02,639 Speaker 2: for Palestinians in Gaza. We Hamas want to control all 464 00:26:02,720 --> 00:26:06,840 Speaker 2: the food because it's one of the ways we keep 465 00:26:06,880 --> 00:26:11,040 Speaker 2: in power is by starving anyone who opposes us. That 466 00:26:11,200 --> 00:26:14,320 Speaker 2: is who the United Kingdom and France and the Canadian 467 00:26:14,359 --> 00:26:18,120 Speaker 2: government is supporting. And that is also sadly who now 468 00:26:18,119 --> 00:26:20,120 Speaker 2: a majority of Senate Democrats are supporting. 469 00:26:21,520 --> 00:26:23,320 Speaker 1: You also look at the media, and there's a second 470 00:26:23,359 --> 00:26:27,480 Speaker 1: part of this conversation. The New York Times has had 471 00:26:27,520 --> 00:26:30,399 Speaker 1: to roll back acclaim they put it out there of 472 00:26:30,440 --> 00:26:35,880 Speaker 1: a viral photo of a starving Gaza boy. It was propaganda. 473 00:26:36,200 --> 00:26:41,000 Speaker 1: It was clearly propaganda from the terrorists and those that 474 00:26:41,080 --> 00:26:45,360 Speaker 1: want you to somehow believe that Israel's starving kids. It 475 00:26:45,400 --> 00:26:48,800 Speaker 1: did not happen that way at all. The New York 476 00:26:48,880 --> 00:26:52,080 Speaker 1: Times was forced to correct it, and I think they 477 00:26:52,119 --> 00:26:56,040 Speaker 1: did it in such a just a disgusting way because 478 00:26:56,080 --> 00:26:59,640 Speaker 1: they issued their statement sharing how they quote originally didn't 479 00:26:59,680 --> 00:27:04,400 Speaker 1: include dude, this boy's pre existing health condition, But they 480 00:27:04,400 --> 00:27:06,080 Speaker 1: didn't really do it in the newspaper like on the 481 00:27:06,080 --> 00:27:08,160 Speaker 1: front page, where the same way they did the picture. 482 00:27:08,680 --> 00:27:11,480 Speaker 1: The damage has already been done. They corrected the story 483 00:27:11,600 --> 00:27:15,919 Speaker 1: by going to the New York Times p R Twitter, 484 00:27:16,040 --> 00:27:18,399 Speaker 1: not even the New York Times Twitter account, the New 485 00:27:18,480 --> 00:27:22,960 Speaker 1: York Times pr account that virtually no one's gonna see. 486 00:27:23,359 --> 00:27:26,120 Speaker 2: Yeah, look, this was not a picture that that they 487 00:27:26,240 --> 00:27:28,919 Speaker 2: just had as a kind of side note in a 488 00:27:28,960 --> 00:27:32,080 Speaker 2: small story. This is a picture the New York Times 489 00:27:32,080 --> 00:27:36,240 Speaker 2: put on the front page. It occupies more than half 490 00:27:36,720 --> 00:27:38,879 Speaker 2: of the front page, above the fold. It is a 491 00:27:38,920 --> 00:27:41,520 Speaker 2: massive picture, and it's a horrible picture. It's a picture 492 00:27:41,520 --> 00:27:44,760 Speaker 2: of a little boy. He appears to be starving his 493 00:27:44,880 --> 00:27:47,240 Speaker 2: spine is sticking out. I mean, it's a very disturbing. 494 00:27:47,280 --> 00:27:52,120 Speaker 2: It's an eighteen month old child, which which they they 495 00:27:52,160 --> 00:27:56,399 Speaker 2: said he was starving, He faced life threatening malnutrition, and 496 00:27:56,680 --> 00:27:59,560 Speaker 2: they blamed that on Israel and they used it to 497 00:27:59,760 --> 00:28:04,919 Speaker 2: put USh Hamas's propaganda. After they did that, the New 498 00:28:05,000 --> 00:28:07,080 Speaker 2: York Times was forced to issue a correction. And they 499 00:28:07,080 --> 00:28:09,720 Speaker 2: did the correction, as you noted on Twitter, where no 500 00:28:09,720 --> 00:28:13,879 Speaker 2: one would see it. And their correction says that what 501 00:28:14,000 --> 00:28:16,520 Speaker 2: they didn't tell people. Here's what their statement was. Quote. 502 00:28:16,600 --> 00:28:18,880 Speaker 2: Children in Gaza are malnourished and starving, as New York 503 00:28:18,920 --> 00:28:21,640 Speaker 2: reporters and others have documented. We recently ran a story 504 00:28:21,640 --> 00:28:26,399 Speaker 2: about Gaza's most vulnerable civilians, including Mohammad Zakira al Mataqua, 505 00:28:26,840 --> 00:28:30,679 Speaker 2: who is about eighteen months old and suffers from severe malnutrition. 506 00:28:31,359 --> 00:28:34,000 Speaker 2: We have since learned new information, including from the hospital 507 00:28:34,040 --> 00:28:36,600 Speaker 2: that has treated him and his medical records, and have 508 00:28:36,720 --> 00:28:39,640 Speaker 2: updated our story to add context about his pre existing 509 00:28:39,680 --> 00:28:43,960 Speaker 2: health problems. This additional detail gives readers greater understanding of 510 00:28:44,000 --> 00:28:48,360 Speaker 2: his situation. Our reporters and photographers continue to report from 511 00:28:48,400 --> 00:28:53,120 Speaker 2: Gaza bravely, sensitively, and at personal risk, so that our 512 00:28:53,160 --> 00:28:57,240 Speaker 2: readers can see firsthand the consequences of the war. That's 513 00:28:57,280 --> 00:29:00,400 Speaker 2: their fairly ridiculous retraction where they admit their lying to you. 514 00:29:00,920 --> 00:29:04,760 Speaker 2: Now here's what they didn't tell us. That Muhamma's mother 515 00:29:05,160 --> 00:29:09,080 Speaker 2: indicated that her son suffers from quote a muscle disorder 516 00:29:09,520 --> 00:29:13,720 Speaker 2: through which he received specialized nutrition and physical therapy. And 517 00:29:15,200 --> 00:29:19,360 Speaker 2: another journalist reported the young boy has quote cerebral palsy 518 00:29:20,360 --> 00:29:24,880 Speaker 2: hypo exemia and was born with a serious genetic order. 519 00:29:24,920 --> 00:29:28,440 Speaker 2: So they showed a child who's very sick, but he's 520 00:29:28,480 --> 00:29:31,240 Speaker 2: not very sick from starvation, he's very sick from other 521 00:29:31,280 --> 00:29:35,880 Speaker 2: medical conditions. And The New York Times happily plays the 522 00:29:36,000 --> 00:29:41,360 Speaker 2: role of Hamas's propagandists, and sadly senate Democrats are cheering 523 00:29:41,400 --> 00:29:45,640 Speaker 2: on that false propaganda. Interestingly enough, the pattern of this 524 00:29:46,600 --> 00:29:49,240 Speaker 2: is exactly the same as the pattern of Hillary Clinton 525 00:29:49,360 --> 00:29:53,160 Speaker 2: signing off on the false Russia story. It is take 526 00:29:53,200 --> 00:29:56,440 Speaker 2: a lie, count on the corporate media to spread that lie, 527 00:29:56,520 --> 00:29:59,240 Speaker 2: count on Democrat politicians to spread that and not lie, 528 00:29:59,560 --> 00:30:02,600 Speaker 2: and count on friendly governments to spread that lie as well. 529 00:30:02,960 --> 00:30:07,640 Speaker 2: And everyone involves knows they are lying, but their political 530 00:30:07,640 --> 00:30:10,560 Speaker 2: agenda in this instance they hate Israel. They want to 531 00:30:10,640 --> 00:30:14,560 Speaker 2: undermine Israel and they want to elevate Hamas and sadly 532 00:30:14,640 --> 00:30:17,240 Speaker 2: that more and more senate Democrats are falling into that camp. 533 00:30:17,600 --> 00:30:20,920 Speaker 1: As always, thank you for listening to Verdict with sentater 534 00:30:21,000 --> 00:30:23,400 Speaker 1: Ted Cruz Ben Ferguson with you don't forget to dial 535 00:30:23,520 --> 00:30:25,760 Speaker 1: with my podcast and you can listen to my podcasts 536 00:30:25,760 --> 00:30:27,720 Speaker 1: every other day you're not listening to Verdict or each 537 00:30:27,800 --> 00:30:30,240 Speaker 1: day when you listen to Verdict. Afterwards, I'd love to 538 00:30:30,280 --> 00:30:32,840 Speaker 1: have you as a listener to again the Ben Ferguson 539 00:30:32,880 --> 00:30:35,880 Speaker 1: podcasts and we will see you back here on Monday morning.