1 00:00:01,160 --> 00:00:01,599 Speaker 1: Welcome. 2 00:00:01,639 --> 00:00:05,480 Speaker 2: It is Verdict with center, Ted Cruz, Ben Ferguson with you, Senator, 3 00:00:05,960 --> 00:00:08,240 Speaker 2: Let's just start with this. I hope you had a 4 00:00:08,280 --> 00:00:10,920 Speaker 2: fabulous Christmas, and everyone else listening, I hope you had 5 00:00:10,920 --> 00:00:13,600 Speaker 2: a fabulous Christmas as well. You got to give me 6 00:00:13,640 --> 00:00:16,400 Speaker 2: some anecdote from Christmas Day? Did you get anything cool? 7 00:00:16,560 --> 00:00:19,160 Speaker 2: Was there an exciting moment before we get into politics. 8 00:00:19,960 --> 00:00:24,240 Speaker 3: Well, I'll just say, Merry Christmas, Happy Hanukkah, Happy New Year. Actually, 9 00:00:24,320 --> 00:00:27,760 Speaker 3: Christmas was awesome. I was just at home with Heidi 10 00:00:27,840 --> 00:00:32,000 Speaker 3: and both our girls. My parents were here. We relaxed, 11 00:00:32,080 --> 00:00:36,320 Speaker 3: We had Christmas dinner, We had a big ham. I 12 00:00:36,360 --> 00:00:38,599 Speaker 3: will say, we do have a new puppy. The new 13 00:00:38,600 --> 00:00:42,640 Speaker 3: puppy is Rudy. Rudy is a golden Doodle. He looks 14 00:00:42,680 --> 00:00:44,040 Speaker 3: like a giant Teddy Bear. 15 00:00:43,840 --> 00:00:44,600 Speaker 4: Come to life. 16 00:00:45,440 --> 00:00:49,720 Speaker 3: He is Catherine's puppy. He is fourteen weeks old. Rudy 17 00:00:49,920 --> 00:00:52,320 Speaker 3: yaps a lot. In fact, you may well get some 18 00:00:52,880 --> 00:00:55,400 Speaker 3: podcasts with Rudy yapping in the background, because I do 19 00:00:55,480 --> 00:00:59,080 Speaker 3: many of these at home and he met Rudy. 20 00:00:59,160 --> 00:01:01,960 Speaker 1: He is cute. Man like. Rudy is next level cute. 21 00:01:02,360 --> 00:01:05,679 Speaker 4: He is majorly cute and I will say all right. 22 00:01:05,760 --> 00:01:08,080 Speaker 3: On Christmas Day, so we had a ham which was great, 23 00:01:08,319 --> 00:01:10,640 Speaker 3: and at the end I turned to Heidi and said, 24 00:01:10,640 --> 00:01:12,200 Speaker 3: what do you think should we give Rudy the hamdbone? 25 00:01:12,280 --> 00:01:12,800 Speaker 4: She said sure? 26 00:01:12,800 --> 00:01:15,959 Speaker 3: So I tossed Rudy the handbone and I cannot believe 27 00:01:16,120 --> 00:01:22,480 Speaker 3: this little puppy became a wolf like he began consuming 28 00:01:22,520 --> 00:01:24,400 Speaker 3: and he's, you know, he's tiny. 29 00:01:24,440 --> 00:01:25,960 Speaker 4: He is the size of a Teddy bear. 30 00:01:26,920 --> 00:01:31,279 Speaker 3: He's like showing into this handbone and then he runs 31 00:01:31,280 --> 00:01:33,600 Speaker 3: into her bushes and he's in his cave and he 32 00:01:33,680 --> 00:01:35,679 Speaker 3: is a wolf. And I'm sitting there. I'm kind of 33 00:01:35,680 --> 00:01:39,080 Speaker 3: feeling mildly concerned. So I pull out my phone and 34 00:01:39,120 --> 00:01:41,360 Speaker 3: I google should you give a puppy a hamdbone? 35 00:01:42,040 --> 00:01:44,280 Speaker 1: I cannot wait to hear what Google said back to you, And. 36 00:01:44,360 --> 00:01:46,840 Speaker 3: It turns out the Google says, no, this is a 37 00:01:46,959 --> 00:01:50,520 Speaker 3: very bad IDEA hambone can splinter and they can stick 38 00:01:50,520 --> 00:01:53,320 Speaker 3: in their stomach and kill your puppy. And I'm sitting 39 00:01:53,360 --> 00:01:56,040 Speaker 3: here thinking, Okay, Catherine is going to kill me if 40 00:01:56,040 --> 00:01:59,520 Speaker 3: I kill her dog. I'm in trouble. So I go 41 00:01:59,600 --> 00:02:02,000 Speaker 3: try to yet Rudy and he does not want to 42 00:02:02,000 --> 00:02:04,000 Speaker 3: give up the hamdbone. And the problem is is I'm 43 00:02:04,040 --> 00:02:04,800 Speaker 3: approaching him. 44 00:02:05,400 --> 00:02:06,160 Speaker 4: Everywhere I go. 45 00:02:06,320 --> 00:02:08,680 Speaker 3: He runs in the bushes and runs in the bushes. 46 00:02:08,919 --> 00:02:10,800 Speaker 3: So I have to drag Heidi out of the kitchen 47 00:02:10,880 --> 00:02:13,720 Speaker 3: because we need a pincher movement to come from both 48 00:02:13,760 --> 00:02:15,920 Speaker 3: sides because Rudy is running and we finally got him 49 00:02:15,960 --> 00:02:17,120 Speaker 3: and got the hamdbone away from him. 50 00:02:17,520 --> 00:02:19,680 Speaker 2: Isn't it amazing how scary Google can be? Though in 51 00:02:19,720 --> 00:02:22,720 Speaker 2: those moments, it's like it tells you basically everything that 52 00:02:22,880 --> 00:02:24,079 Speaker 2: is fun is no longer fun. 53 00:02:24,120 --> 00:02:25,800 Speaker 1: I'm convinced that's what Google's job is. 54 00:02:26,120 --> 00:02:29,040 Speaker 3: And he was such a happy puppy. This is this 55 00:02:29,120 --> 00:02:34,840 Speaker 3: is absolutely the greatest joy. This this animal has had 56 00:02:34,880 --> 00:02:37,520 Speaker 3: since he has been on planet Earth. Was chowing into 57 00:02:37,560 --> 00:02:40,760 Speaker 3: that hamdbone until Heidi and I had to run. But 58 00:02:40,760 --> 00:02:42,400 Speaker 3: he had he had actually he'd eaten all the hams. 59 00:02:42,440 --> 00:02:45,280 Speaker 3: So he was in the chewing into bone moment where like, 60 00:02:45,280 --> 00:02:46,280 Speaker 3: all right, fine, that's. 61 00:02:46,080 --> 00:02:48,919 Speaker 2: Probably enough, that's enough, all right. So we got to ask, 62 00:02:49,000 --> 00:02:50,399 Speaker 2: how did how did you get the name? 63 00:02:50,480 --> 00:02:52,280 Speaker 1: Who named him? How did we come up with the 64 00:02:52,360 --> 00:02:54,880 Speaker 1: name Rudy? Where is it? I mean, a. 65 00:02:54,919 --> 00:02:57,680 Speaker 2: Movie after our movie show, everyone's gonna think Rudy. We're 66 00:02:57,720 --> 00:03:00,480 Speaker 2: going back to Notre Dame here and the famous movie. 67 00:03:00,560 --> 00:03:03,360 Speaker 3: Okay, except for the fact that I didn't name the dog. 68 00:03:03,760 --> 00:03:08,240 Speaker 3: Catherine named the dog. So Caroline has three cats, yea, 69 00:03:08,360 --> 00:03:10,600 Speaker 3: and this puppy was for Catherine, so Catherine got to 70 00:03:10,680 --> 00:03:13,080 Speaker 3: name the dog and Rudy. It actually is connected so 71 00:03:13,160 --> 00:03:14,880 Speaker 3: our last podcast. By the way, if you didn't watch 72 00:03:14,880 --> 00:03:16,959 Speaker 3: your Christmas Day podcast or didn't listen to it, and 73 00:03:17,000 --> 00:03:18,840 Speaker 3: then it is on YouTube so you can watch it too, 74 00:03:19,120 --> 00:03:21,000 Speaker 3: I'd encourage you to go back. It's a very different 75 00:03:21,040 --> 00:03:23,680 Speaker 3: podcast from what we do normally, which is Ben and 76 00:03:23,720 --> 00:03:26,000 Speaker 3: I talked about twenty five of my favorite movies, and 77 00:03:26,040 --> 00:03:28,480 Speaker 3: we went through a bunch of movies, and I love movies, 78 00:03:28,480 --> 00:03:29,280 Speaker 3: and we go through. 79 00:03:29,200 --> 00:03:29,919 Speaker 4: A ton of them. 80 00:03:30,560 --> 00:03:32,200 Speaker 3: And by the way, I told you this story Bet 81 00:03:32,240 --> 00:03:35,440 Speaker 3: as we're getting ready to record in the afternoon a 82 00:03:35,520 --> 00:03:37,840 Speaker 3: Christmas Day, we went over to a friend's house a 83 00:03:37,840 --> 00:03:39,960 Speaker 3: few blocks away from our house who had a Christmas 84 00:03:40,040 --> 00:03:42,040 Speaker 3: Day party and it was very cool. There are lots 85 00:03:42,080 --> 00:03:44,120 Speaker 3: of people out walking their dogs and out on the street, 86 00:03:44,160 --> 00:03:47,800 Speaker 3: and this one family stopped me and this very nice 87 00:03:47,800 --> 00:03:50,840 Speaker 3: woman said, hey, I listened to the podcast this morning. 88 00:03:50,840 --> 00:03:53,040 Speaker 3: I loved it. Great movie recommendations. I'm gonna go watch 89 00:03:53,080 --> 00:03:56,119 Speaker 3: them now, and so I thought that was very cool. 90 00:03:56,760 --> 00:04:00,480 Speaker 3: It made me happy. But if you were call at 91 00:04:00,520 --> 00:04:03,160 Speaker 3: the very beginning of the movie podcast, you asked me 92 00:04:03,240 --> 00:04:05,800 Speaker 3: what was the most recent thing I was watching, and 93 00:04:05,840 --> 00:04:07,600 Speaker 3: I told you it was The Outer Banks. And The 94 00:04:07,640 --> 00:04:10,760 Speaker 3: Outer Banks is this teeny bopper series on Netflix that 95 00:04:10,840 --> 00:04:13,760 Speaker 3: Catherine is very into. And Catherine had asked me to 96 00:04:13,800 --> 00:04:16,440 Speaker 3: watch it so that we could talk about the plot development. 97 00:04:16,480 --> 00:04:17,400 Speaker 4: So I watched the whole thing. 98 00:04:18,200 --> 00:04:21,719 Speaker 3: Well, one of the stars of the show is JJ, 99 00:04:22,040 --> 00:04:24,920 Speaker 3: and the actor who plays JJ is Rudy. I don't 100 00:04:24,920 --> 00:04:27,359 Speaker 3: remember Rudy's last name, Rudy something that Catherne knows his 101 00:04:27,440 --> 00:04:31,960 Speaker 3: last name, but Rudy Something plays JJ, who is the 102 00:04:32,040 --> 00:04:35,880 Speaker 3: sort of kind of cute surfer boy, rebel, sort of 103 00:04:35,920 --> 00:04:38,520 Speaker 3: a lot of trouble, but listen, I can get why 104 00:04:38,600 --> 00:04:41,160 Speaker 3: if you're a fourteen year old girl, he would be 105 00:04:41,240 --> 00:04:43,839 Speaker 3: sort of a cute, attractive guy. So our puppy is 106 00:04:43,920 --> 00:04:46,720 Speaker 3: named after the actor who plays JJ in Outer Banks. 107 00:04:47,320 --> 00:04:50,040 Speaker 3: But as a Ustonian, I'm treating Rudy. I call him 108 00:04:50,120 --> 00:04:52,560 Speaker 3: Rudy T because I treat him as Rudy Tom Jonovich, 109 00:04:53,040 --> 00:04:55,960 Speaker 3: the coach of the Rockets when we won the NBA 110 00:04:56,040 --> 00:04:58,880 Speaker 3: Championship at ninety four and ninety five. So for Katherine 111 00:04:58,920 --> 00:05:01,040 Speaker 3: he's rudy, but for me, I think the tea is silence. 112 00:05:01,440 --> 00:05:03,200 Speaker 1: I love it. That is nice. 113 00:05:03,240 --> 00:05:04,839 Speaker 2: And by the way, on the movie list, so you'll 114 00:05:04,880 --> 00:05:07,600 Speaker 2: you'll laugh. We got a new TV right that was 115 00:05:07,640 --> 00:05:09,520 Speaker 2: one of those like Christmas things. Have you seen nice 116 00:05:09,960 --> 00:05:13,120 Speaker 2: these frame TVs where it puts up artwork on the Oh. 117 00:05:13,160 --> 00:05:14,760 Speaker 4: Yeah, you're getting a high falutin. 118 00:05:15,040 --> 00:05:18,839 Speaker 3: I'm sorry, I'm not trucking hang around such a fancy 119 00:05:18,839 --> 00:05:19,440 Speaker 3: pants guy. 120 00:05:19,839 --> 00:05:23,160 Speaker 2: So this has been on the Missus list and she's like, look, 121 00:05:23,200 --> 00:05:25,040 Speaker 2: I just love it. It doesn't look like a TV 122 00:05:25,160 --> 00:05:26,920 Speaker 2: hang on your wall in the living room. It can 123 00:05:27,000 --> 00:05:29,679 Speaker 2: have like art up there. So Black Friday, I grabbed 124 00:05:29,720 --> 00:05:34,000 Speaker 2: the TV. So fast forward to today. My dad's in 125 00:05:34,080 --> 00:05:37,440 Speaker 2: town and he's helping me mount this new TV, and 126 00:05:37,520 --> 00:05:39,800 Speaker 2: my mother in law comes over and she's like, hey, 127 00:05:39,800 --> 00:05:42,440 Speaker 2: I've got the list of movies that you guys talked about. 128 00:05:42,520 --> 00:05:44,599 Speaker 2: Why don't you guys hurry up and put that TV 129 00:05:44,760 --> 00:05:48,800 Speaker 2: up there and we'll watch one of Ted's favorite movies. 130 00:05:48,839 --> 00:05:51,600 Speaker 2: And I'm like, okay, great, the only problem was we 131 00:05:51,680 --> 00:05:55,200 Speaker 2: ran into a mounting issue with this fancy new TV 132 00:05:55,320 --> 00:05:57,680 Speaker 2: because it doesn't meunt like the other normal TVs in 133 00:05:57,720 --> 00:06:00,520 Speaker 2: the world. And finally she gave up, like, I'll see 134 00:06:00,520 --> 00:06:02,800 Speaker 2: you tomorrow or whenever and we'll watch the movie then. 135 00:06:02,880 --> 00:06:05,479 Speaker 2: So I disappointed my mother in law, but she was 136 00:06:05,560 --> 00:06:07,800 Speaker 2: excited about your list, So there is that there at 137 00:06:07,880 --> 00:06:10,560 Speaker 2: least there's a silver lining in the in the moment, 138 00:06:10,600 --> 00:06:12,279 Speaker 2: and I don't know which TV it was, but she 139 00:06:12,320 --> 00:06:15,480 Speaker 2: had written down the list of movies that she had 140 00:06:15,480 --> 00:06:17,360 Speaker 2: never watched that you had on your list, and then 141 00:06:17,360 --> 00:06:19,440 Speaker 2: it turned into a thing. So now I have a 142 00:06:19,480 --> 00:06:22,599 Speaker 2: feeling I'm gonna be watching some movies with the mother 143 00:06:22,600 --> 00:06:24,359 Speaker 2: in law. She's a movie fan like you are. And 144 00:06:24,360 --> 00:06:26,000 Speaker 2: then she asked she goes Did he go to the 145 00:06:26,000 --> 00:06:28,000 Speaker 2: movie theater? I said, yes, he loves to go to 146 00:06:28,000 --> 00:06:29,640 Speaker 2: the movie theater. Did you go to any movies over 147 00:06:29,680 --> 00:06:30,320 Speaker 2: the holidays? 148 00:06:30,520 --> 00:06:30,800 Speaker 1: I did. 149 00:06:30,839 --> 00:06:33,800 Speaker 3: I saw Gladiator two, which I enjoyed. It wasn't as 150 00:06:33,800 --> 00:06:37,279 Speaker 3: good as Gladiator one, but Denzel's awesome, and so it 151 00:06:37,360 --> 00:06:37,720 Speaker 3: was fun. 152 00:06:37,760 --> 00:06:41,800 Speaker 2: And I so Rotten Tomatoes has their rating system. If 153 00:06:41,800 --> 00:06:44,760 Speaker 2: we're gonna have a TC rating system, what would you 154 00:06:44,800 --> 00:06:47,440 Speaker 2: have rated the new one, Oh. 155 00:06:47,160 --> 00:06:50,280 Speaker 4: I don't know. On on one. 156 00:06:50,040 --> 00:06:54,560 Speaker 3: To five, I'd give it a three point seven. I 157 00:06:54,680 --> 00:06:59,160 Speaker 3: enjoyed it, But Gladiator one is like a four point nine. 158 00:06:59,440 --> 00:07:03,200 Speaker 3: Like it's I don't remember. Was Glader one on my 159 00:07:03,240 --> 00:07:05,440 Speaker 3: top twenty five? If it wasn't, it could easily have been. 160 00:07:05,480 --> 00:07:08,559 Speaker 3: Gladier one is an awesome movie. Gladi You two is fine. 161 00:07:08,680 --> 00:07:11,720 Speaker 2: And hold on on a five scale zero to five, 162 00:07:11,920 --> 00:07:13,880 Speaker 2: what is a perfect five movie? 163 00:07:13,920 --> 00:07:16,000 Speaker 1: Just so everybody has a barometer. 164 00:07:15,800 --> 00:07:17,480 Speaker 4: The Princess Bride is just right at the top of 165 00:07:17,480 --> 00:07:17,920 Speaker 4: that list. 166 00:07:18,160 --> 00:07:20,040 Speaker 2: There you go, five point Oh there, I love it 167 00:07:20,320 --> 00:07:22,240 Speaker 2: all right. So let's get back to the world of 168 00:07:22,320 --> 00:07:25,480 Speaker 2: politics as well. And as we said, I like it, 169 00:07:25,520 --> 00:07:27,120 Speaker 2: we get to talk a little movies. Here we got 170 00:07:27,120 --> 00:07:29,520 Speaker 2: a five point zero Princess Bride. If you've never watched it, 171 00:07:29,600 --> 00:07:32,000 Speaker 2: if you better do it. That's just it's part of 172 00:07:32,160 --> 00:07:36,080 Speaker 2: If you like this podcast, that's like a price of mission. 173 00:07:36,120 --> 00:07:38,200 Speaker 2: If you've not seen Princess Bride, because you've watched it 174 00:07:38,240 --> 00:07:39,920 Speaker 2: what fifty times in your life. 175 00:07:39,880 --> 00:07:42,680 Speaker 3: Probably more more than that. I did get from a 176 00:07:42,680 --> 00:07:46,880 Speaker 3: friend for Christmas this year, a leather bound copy of 177 00:07:46,920 --> 00:07:48,960 Speaker 3: the book The Princess Bride. The book The Princess Bride 178 00:07:49,000 --> 00:07:52,120 Speaker 3: is wonderful too, but the movie is exquisite. And I 179 00:07:52,200 --> 00:07:57,040 Speaker 3: do take sort of odd I don't know, like reverse 180 00:07:57,080 --> 00:08:00,640 Speaker 3: psychology joy. The entire cast of The Prince Bride or 181 00:08:00,680 --> 00:08:04,640 Speaker 3: all lefties, and they periodically get together and they do 182 00:08:04,720 --> 00:08:07,160 Speaker 3: events to support Democrats, and many of them have been 183 00:08:07,160 --> 00:08:10,680 Speaker 3: critical would be and actually, oddly enough, carry Elwiz, who 184 00:08:10,760 --> 00:08:13,560 Speaker 3: is who is the dread Pirate Roberts, and also Wesley 185 00:08:13,680 --> 00:08:16,760 Speaker 3: So is the male lead in the movie, is a 186 00:08:16,800 --> 00:08:20,040 Speaker 3: big lefty who I've gotten in Twitter wars with and 187 00:08:20,080 --> 00:08:23,760 Speaker 3: he finally blocked me, like he was bashing me. And 188 00:08:23,800 --> 00:08:26,040 Speaker 3: these guys think I can enjoy their movie because they're 189 00:08:26,040 --> 00:08:27,800 Speaker 3: little communists, and so they say, no, no, no, you have 190 00:08:27,800 --> 00:08:29,280 Speaker 3: to be a Communist to enjoy my movie. I'm like, 191 00:08:29,280 --> 00:08:31,440 Speaker 3: screw you. You made your art. It's for the world 192 00:08:31,480 --> 00:08:33,760 Speaker 3: to enjoy. You don't get to decide how I enjoy it. 193 00:08:34,320 --> 00:08:37,360 Speaker 3: And amusingly enough, so when I got into Twitter war 194 00:08:37,400 --> 00:08:41,040 Speaker 3: with carry Ell Was, I have in my office. 195 00:08:40,720 --> 00:08:41,920 Speaker 4: You've been to my office in DC. 196 00:08:42,080 --> 00:08:47,000 Speaker 3: Hanging on the wall is a signed photograph of carry 197 00:08:47,000 --> 00:08:50,479 Speaker 3: Alwis as the Red Pirate Roberts and It is inscribed 198 00:08:50,840 --> 00:08:53,679 Speaker 3: not just to Ted, but to Ted Cruz and oh, 199 00:08:53,679 --> 00:08:54,080 Speaker 3: I don't. 200 00:08:53,920 --> 00:08:55,600 Speaker 4: Remember what he wrote. I should remember what he wrote, 201 00:08:55,640 --> 00:08:56,120 Speaker 4: but I don't. 202 00:08:56,360 --> 00:08:58,320 Speaker 3: But it's signed by him. And it was my first 203 00:08:58,400 --> 00:09:01,120 Speaker 3: year in the Senate and we had an intern in 204 00:09:01,200 --> 00:09:04,360 Speaker 3: the office who went to like a comic con convention 205 00:09:05,040 --> 00:09:08,280 Speaker 3: and he was there signing autographs, and she got him 206 00:09:08,280 --> 00:09:10,480 Speaker 3: to sign it to me by name. And I think 207 00:09:10,520 --> 00:09:12,080 Speaker 3: at the time he didn't know who I was, because 208 00:09:12,080 --> 00:09:14,400 Speaker 3: he probably would have refused to do it. But when 209 00:09:14,400 --> 00:09:17,360 Speaker 3: we were in the Twitter fight, I took a picture 210 00:09:17,400 --> 00:09:20,080 Speaker 3: of the framed photo of him inscribed to me on 211 00:09:20,120 --> 00:09:22,320 Speaker 3: my wall and tweeted it out and he got so 212 00:09:22,400 --> 00:09:23,120 Speaker 3: mad he blocked me. 213 00:09:24,040 --> 00:09:25,480 Speaker 1: That is actually hilarious. 214 00:09:25,480 --> 00:09:27,440 Speaker 2: All right, So I have my Princess Bride story, and 215 00:09:27,480 --> 00:09:30,360 Speaker 2: then I promise we'll get to the political world. So 216 00:09:30,559 --> 00:09:32,120 Speaker 2: in high school, I mean, there's a lot going on 217 00:09:32,160 --> 00:09:34,920 Speaker 2: in politics. There is, there is. But in high school, 218 00:09:35,920 --> 00:09:38,600 Speaker 2: you can judge me for this. We had to do 219 00:09:38,640 --> 00:09:40,960 Speaker 2: a book report on the Princess Bride. Had to read 220 00:09:40,960 --> 00:09:43,520 Speaker 2: the book. You will not be shocked to know that 221 00:09:43,600 --> 00:09:47,360 Speaker 2: when I was focused solely on playing tennis and trying 222 00:09:47,360 --> 00:09:49,800 Speaker 2: to make decent grades, where as a. 223 00:09:49,880 --> 00:09:52,520 Speaker 1: Chance, I went and bought the cliff Notes. 224 00:09:53,040 --> 00:09:55,520 Speaker 4: Oh, how do you in the movie. 225 00:09:55,280 --> 00:09:56,720 Speaker 1: Not even the movie the cliff Notes. 226 00:09:56,800 --> 00:09:59,480 Speaker 2: I was like, I got it, and then I overachieved 227 00:09:59,520 --> 00:10:01,640 Speaker 2: and I went bought this notes. 228 00:10:01,920 --> 00:10:05,280 Speaker 3: Do our younger listeners know what cliff notes are? 229 00:10:05,280 --> 00:10:06,200 Speaker 4: Do those still exist? 230 00:10:06,679 --> 00:10:08,880 Speaker 1: They do? Cliff Notes and Sparklan still. 231 00:10:08,679 --> 00:10:11,080 Speaker 3: Okay, so that's still a I mean, look, it's been 232 00:10:11,080 --> 00:10:12,640 Speaker 3: a while since you and I were in high school 233 00:10:12,640 --> 00:10:16,480 Speaker 3: in college, so I haven't I think GBT. 234 00:10:16,080 --> 00:10:18,280 Speaker 2: Or whatever now right like but but but if you 235 00:10:18,320 --> 00:10:19,000 Speaker 2: look at them, it's that. 236 00:10:19,160 --> 00:10:22,360 Speaker 1: So cliff Notes is the one that had the yellow and. 237 00:10:22,240 --> 00:10:23,840 Speaker 4: Black pep I remember them. Well. 238 00:10:24,240 --> 00:10:26,959 Speaker 2: Yeah, And so someone in the class said, hey, make 239 00:10:27,000 --> 00:10:28,160 Speaker 2: sure you get the spark Notes. 240 00:10:28,200 --> 00:10:29,160 Speaker 1: Well, the joke was on me. 241 00:10:29,200 --> 00:10:31,480 Speaker 2: I was a new student at Westminster Academy and my 242 00:10:31,520 --> 00:10:33,199 Speaker 2: teacher I will never forget her, best teacher I've ever 243 00:10:33,200 --> 00:10:33,800 Speaker 2: had in my life. 244 00:10:33,679 --> 00:10:34,360 Speaker 1: Missus Perry. 245 00:10:35,240 --> 00:10:39,680 Speaker 2: She made sure that every single question on your test 246 00:10:40,080 --> 00:10:44,320 Speaker 2: for your book report could not be answered by reading 247 00:10:44,480 --> 00:10:46,440 Speaker 2: the cliff Notes or the spark Notes. 248 00:10:46,679 --> 00:10:48,520 Speaker 1: So I got enough. 249 00:10:48,600 --> 00:10:50,240 Speaker 2: It was the last the first time I ever bought 250 00:10:50,280 --> 00:10:52,400 Speaker 2: cliff Notes and the last time I ever bought cliff 251 00:10:52,480 --> 00:10:55,200 Speaker 2: Notes in high school because she made sure there was 252 00:10:55,240 --> 00:10:58,040 Speaker 2: not a single question that could be answered from cliff notes. 253 00:10:58,480 --> 00:11:01,480 Speaker 3: That is a good college Benjamin. You have fallen for 254 00:11:01,520 --> 00:11:03,800 Speaker 3: the second oldest blunder in the world. The first, of course, 255 00:11:03,880 --> 00:11:05,840 Speaker 3: is never get involved in a land war in Asia, 256 00:11:05,880 --> 00:11:08,680 Speaker 3: but the second only slightly less famous. He's never getting 257 00:11:08,960 --> 00:11:11,839 Speaker 3: never go against a Sicilian when death is on the line. 258 00:11:11,559 --> 00:11:17,000 Speaker 4: Ha ha ha and he falls over dead. 259 00:11:17,320 --> 00:11:20,000 Speaker 2: Yeah, there you go. So there's yeah, there's a there's 260 00:11:20,000 --> 00:11:21,080 Speaker 2: a study where. 261 00:11:20,920 --> 00:11:23,520 Speaker 4: Your k can do the entire damn movie. It really is. 262 00:11:23,600 --> 00:11:24,960 Speaker 4: It's it's it's a sick. 263 00:11:24,800 --> 00:11:28,280 Speaker 3: Party trick and and and I got to tell you, 264 00:11:28,360 --> 00:11:33,200 Speaker 3: as as a teenager, it was not effective for for 265 00:11:33,200 --> 00:11:33,960 Speaker 3: forgetting girls. 266 00:11:34,120 --> 00:11:34,560 Speaker 1: It was not. 267 00:11:35,320 --> 00:11:38,680 Speaker 3: No, it was I gotta say being a tennis star, 268 00:11:38,760 --> 00:11:40,080 Speaker 3: I'm sure was more effective in that. 269 00:11:40,200 --> 00:11:44,520 Speaker 2: In that regard, it definitely worked more than quoting Princess Bride. 270 00:11:45,000 --> 00:11:48,000 Speaker 1: But that's a low bar. I don't know what that's 271 00:11:48,040 --> 00:11:51,600 Speaker 1: actually saying. But you know, barely there. 272 00:11:51,840 --> 00:11:53,400 Speaker 3: But you know, I could go to a Dungeons and 273 00:11:53,640 --> 00:11:56,520 Speaker 3: Dragons convention and then like hang out and be just fine. 274 00:11:57,120 --> 00:11:59,120 Speaker 1: Be honest, did you ever go to one? Because I 275 00:11:59,160 --> 00:11:59,839 Speaker 1: never knew. I didn't know. 276 00:12:00,160 --> 00:12:01,240 Speaker 4: I did not go to a convention. 277 00:12:01,320 --> 00:12:03,240 Speaker 3: I did play Dungeons and Dragons as a kid, but 278 00:12:03,280 --> 00:12:05,240 Speaker 3: I did not actually go to a convention. It's sort 279 00:12:05,240 --> 00:12:08,280 Speaker 3: of it's kind of like Star Trek. I'm sort of 280 00:12:08,320 --> 00:12:10,240 Speaker 3: a Trekky and that I've watched all the movies. I've 281 00:12:10,280 --> 00:12:13,200 Speaker 3: watched not one hundred percent of the episodes, but most 282 00:12:13,200 --> 00:12:16,720 Speaker 3: of them. And I really like Star Trek. But Trekkies 283 00:12:16,760 --> 00:12:21,360 Speaker 3: are such so intense about it that I don't actually 284 00:12:21,840 --> 00:12:24,320 Speaker 3: dress as mister Spock, so I don't feel like a 285 00:12:24,320 --> 00:12:25,080 Speaker 3: full on Treki. 286 00:12:25,160 --> 00:12:27,120 Speaker 4: I just really enjoy Star Trek. 287 00:12:27,480 --> 00:12:29,240 Speaker 2: So the first TV show you and I would have 288 00:12:29,240 --> 00:12:31,680 Speaker 2: ever connected on them clearly would have been The West Wing. 289 00:12:32,920 --> 00:12:35,200 Speaker 4: West Wing is fabulous. 290 00:12:35,480 --> 00:12:38,560 Speaker 1: But that was I've watched it, I don't know six 291 00:12:38,640 --> 00:12:39,280 Speaker 1: seven times. 292 00:12:39,840 --> 00:12:42,319 Speaker 3: See, I only think I've watched it once. I watched 293 00:12:42,360 --> 00:12:46,040 Speaker 3: it when it aired live, and that was before streaming, 294 00:12:46,760 --> 00:12:49,720 Speaker 3: so I was and Heidi and I were on the 295 00:12:49,720 --> 00:12:50,120 Speaker 3: George W. 296 00:12:50,200 --> 00:12:51,280 Speaker 4: Bush campaign at the time. 297 00:12:51,360 --> 00:12:55,000 Speaker 3: So every night it aired Wednesdays, I think at nine pm, 298 00:12:55,520 --> 00:12:58,040 Speaker 3: and we had TVs. At the end, we all had cubicles. 299 00:12:58,040 --> 00:13:00,640 Speaker 3: We're all in little cubicles at three or on Congress 300 00:13:00,640 --> 00:13:03,160 Speaker 3: Avenue in Austin, Texas, And at nine pm Wednesday, at 301 00:13:03,160 --> 00:13:04,880 Speaker 3: the end of every isle of cubicles was a TV 302 00:13:04,960 --> 00:13:07,640 Speaker 3: and we would stop and for an hour from nine 303 00:13:07,679 --> 00:13:10,360 Speaker 3: to ten pm, every campaign staffer would watch The West Wing. 304 00:13:11,160 --> 00:13:13,760 Speaker 3: And I watched it live. But I don't know that 305 00:13:13,800 --> 00:13:15,520 Speaker 3: I've ever watched a rerun of The West Wing. So 306 00:13:15,559 --> 00:13:16,679 Speaker 3: I loved every episode. 307 00:13:16,880 --> 00:13:19,439 Speaker 2: Every So every time I get sick, every time i'm 308 00:13:19,880 --> 00:13:22,160 Speaker 2: with flu or i've had a surgery, that's when I 309 00:13:22,160 --> 00:13:24,640 Speaker 2: will ben watch it because I have the DVD set 310 00:13:24,720 --> 00:13:26,439 Speaker 2: and it's like it's like comfort food. 311 00:13:26,480 --> 00:13:27,160 Speaker 1: It's like you're. 312 00:13:27,080 --> 00:13:29,280 Speaker 2: Sick and you can kind of doze off and take 313 00:13:29,280 --> 00:13:31,200 Speaker 2: a nap and wake up and you know exactly where 314 00:13:31,200 --> 00:13:31,960 Speaker 2: you are in the series. 315 00:13:32,000 --> 00:13:32,720 Speaker 1: And that's when I watch. 316 00:13:32,800 --> 00:13:34,559 Speaker 2: I never watch outside of what i'm sick, but if 317 00:13:34,559 --> 00:13:37,440 Speaker 2: I am really sick in bed, laid up, it is 318 00:13:37,520 --> 00:13:39,559 Speaker 2: West Wing for me the entire time. 319 00:13:39,800 --> 00:13:40,600 Speaker 1: All right, it's good. 320 00:13:41,000 --> 00:13:42,880 Speaker 4: By the by the way, what what series are you 321 00:13:42,960 --> 00:13:44,720 Speaker 4: watching now? This is a complete digression. 322 00:13:44,920 --> 00:13:47,920 Speaker 1: Oh, I'm one hundred percent. I am all into Landman, like. 323 00:13:48,480 --> 00:13:49,400 Speaker 4: Man is so good. 324 00:13:49,559 --> 00:13:53,640 Speaker 3: It's Landman is is crack cocaine inserted into my veins. 325 00:13:53,679 --> 00:13:57,600 Speaker 3: I Billy, Bob Thornton, I love the Man, and Taylor 326 00:13:57,640 --> 00:14:00,920 Speaker 3: Sheridan can Wright like nobody's business. 327 00:14:01,160 --> 00:14:03,680 Speaker 2: Yeah, he's like the new Aaron Sorcin of My Life. 328 00:14:03,760 --> 00:14:05,800 Speaker 2: And Sorkin for ber they don't know. He did West 329 00:14:05,840 --> 00:14:09,600 Speaker 2: Wing and several other amazing shows, The American American President, 330 00:14:09,640 --> 00:14:11,520 Speaker 2: the movie Newsroom, the show on HBO. 331 00:14:11,600 --> 00:14:13,240 Speaker 4: Did you watch The Newsroom? By the way, I did, 332 00:14:13,280 --> 00:14:13,959 Speaker 4: it was well done. 333 00:14:14,240 --> 00:14:16,400 Speaker 2: Yeah, it was one of So it was one of those, 334 00:14:16,400 --> 00:14:18,640 Speaker 2: and I actually knew a couple of the people that 335 00:14:18,760 --> 00:14:21,600 Speaker 2: were quote consultants on that, the same way that Sorkin 336 00:14:21,680 --> 00:14:25,640 Speaker 2: had consultants I did Myers and others on The West Wing, 337 00:14:26,200 --> 00:14:28,760 Speaker 2: and they wanted to make it extremely accurate the Newsroom. 338 00:14:28,800 --> 00:14:31,120 Speaker 2: At the time, I was a commentator at CNN when 339 00:14:31,240 --> 00:14:33,600 Speaker 2: Newsroom came out, and I've been like every time, I 340 00:14:33,600 --> 00:14:35,200 Speaker 2: think it was every Suname night. It came out nine 341 00:14:35,200 --> 00:14:38,840 Speaker 2: on HBO, and I was just like, watch it religiously. 342 00:14:39,040 --> 00:14:41,640 Speaker 2: Those guys like you said, Sharon can write, but yeah, 343 00:14:42,280 --> 00:14:44,920 Speaker 2: Landman right now is amazing. And then obviously they're wrapping 344 00:14:45,000 --> 00:14:47,240 Speaker 2: up Yellowstone with this like last season. 345 00:14:47,760 --> 00:14:49,040 Speaker 3: And by the way, we are going to do a 346 00:14:49,080 --> 00:14:51,320 Speaker 3: different episode that is not this episode, but we are 347 00:14:51,360 --> 00:14:54,280 Speaker 3: going to do an episode like the movie episode on 348 00:14:54,880 --> 00:14:57,480 Speaker 3: streaming series to watch because I've got a I'm on 349 00:14:57,560 --> 00:14:59,400 Speaker 3: a lot of airplanes and so I watch a lot 350 00:14:59,480 --> 00:15:00,320 Speaker 3: of streaming series. 351 00:15:00,320 --> 00:15:01,920 Speaker 4: But that will not be this episode will. 352 00:15:01,800 --> 00:15:03,480 Speaker 2: Be the last thing. What's the top one on your 353 00:15:03,480 --> 00:15:06,040 Speaker 2: list right now? What are you watching streaming besides Lamman? 354 00:15:06,360 --> 00:15:07,520 Speaker 4: Uh so streaming? 355 00:15:07,600 --> 00:15:10,800 Speaker 3: I'm watching The Gifted, which Caroline, my eldest daughter, asked 356 00:15:10,840 --> 00:15:12,960 Speaker 3: me to watch that it's sort of a mutant series 357 00:15:12,960 --> 00:15:14,520 Speaker 3: that had two seasons. Some in the middle of the 358 00:15:14,520 --> 00:15:17,520 Speaker 3: second season of that, and and then I'm in season 359 00:15:17,560 --> 00:15:19,600 Speaker 3: seven of The Walking Dead, which oach. I never watched 360 00:15:19,600 --> 00:15:20,960 Speaker 3: The Walking Dead when it was on air, And so 361 00:15:21,040 --> 00:15:22,400 Speaker 3: what I'm now when I'm. 362 00:15:22,280 --> 00:15:24,000 Speaker 1: On airplanes because I've never watched it. 363 00:15:24,480 --> 00:15:27,000 Speaker 3: Oh luck, it's a bunch of zombies eating your face, 364 00:15:27,120 --> 00:15:29,920 Speaker 3: like it's not is it literature? 365 00:15:30,120 --> 00:15:31,720 Speaker 4: No? But it's fun. 366 00:15:31,800 --> 00:15:33,760 Speaker 3: I'm enjoying it, and it is. You know, I do 367 00:15:33,840 --> 00:15:36,440 Speaker 3: get strange looks on an airplane when I'm sitting there 368 00:15:36,680 --> 00:15:38,400 Speaker 3: on a plane and people walk by and there's a 369 00:15:38,480 --> 00:15:41,520 Speaker 3: zombie eating someone's face, and there's you know, people who 370 00:15:41,360 --> 00:15:43,480 Speaker 3: who don't like me or like figures. 371 00:15:43,560 --> 00:15:44,040 Speaker 4: Yeah, he'd be. 372 00:15:44,040 --> 00:15:47,360 Speaker 3: Readier to the zombie xpect he'd be watching. For the record, 373 00:15:47,400 --> 00:15:49,840 Speaker 3: I'm not rooting for the zombies. But but but hater's 374 00:15:49,840 --> 00:15:50,720 Speaker 3: gonna hate. 375 00:15:50,600 --> 00:15:52,680 Speaker 1: Hater's gonna hate. I love it all right, Now, let's 376 00:15:52,720 --> 00:15:55,040 Speaker 1: get back to the political world. I enjoyed that. By 377 00:15:55,080 --> 00:15:56,880 Speaker 1: the way, that was nice after Christmas. 378 00:15:57,280 --> 00:16:02,600 Speaker 2: So, Joe Biden's administration has got some cover ups going on. 379 00:16:02,720 --> 00:16:06,120 Speaker 2: At the Wall Street Journal center is reporting on behind 380 00:16:06,160 --> 00:16:07,200 Speaker 2: the Closed Doors. 381 00:16:07,520 --> 00:16:08,600 Speaker 1: We found out. 382 00:16:08,360 --> 00:16:11,200 Speaker 2: That the lab we cover up was a legit cover up, 383 00:16:11,240 --> 00:16:13,400 Speaker 2: and now since he's lost, it's like, oh, we can 384 00:16:13,440 --> 00:16:14,360 Speaker 2: report on this now. 385 00:16:15,520 --> 00:16:17,720 Speaker 3: Well, this was a story that came out in the 386 00:16:17,720 --> 00:16:19,960 Speaker 3: Wall Street Journal December twenty sixth, and it really is 387 00:16:20,000 --> 00:16:25,000 Speaker 3: a bombshell story and it describes how the federal government 388 00:16:25,120 --> 00:16:27,920 Speaker 3: essentially the deep state under Joe Biden. But this is 389 00:16:27,960 --> 00:16:30,760 Speaker 3: also true under Trump. They didn't The Journal article doesn't 390 00:16:30,800 --> 00:16:33,200 Speaker 3: talk about Trump, but I'm very interested to what was 391 00:16:33,240 --> 00:16:35,960 Speaker 3: happening under the Trump administration as well. But how the 392 00:16:36,040 --> 00:16:39,880 Speaker 3: deep state covered up the evidence and covered up the 393 00:16:40,000 --> 00:16:45,240 Speaker 3: scientists that we're arguing that the COVID virus escaped from 394 00:16:45,280 --> 00:16:50,720 Speaker 3: the Wuhan Lab in China, and it focuses on in particular, 395 00:16:50,800 --> 00:16:53,840 Speaker 3: it starts with Jason Bannon. So here I'm just gonna 396 00:16:53,840 --> 00:16:55,680 Speaker 3: read at the beginning of the article because it lays 397 00:16:55,680 --> 00:16:58,280 Speaker 3: it out. A car and driver had been ready to 398 00:16:58,280 --> 00:17:01,280 Speaker 3: whisk Jason Bannon from FBI had quarters early one morning 399 00:17:01,320 --> 00:17:04,080 Speaker 3: in August twenty twenty one to brief the White House 400 00:17:04,119 --> 00:17:06,399 Speaker 3: on a novel virus that was killing hundreds of thousands 401 00:17:06,400 --> 00:17:08,719 Speaker 3: of Americans that had stopped the world in its tracks. 402 00:17:09,520 --> 00:17:11,639 Speaker 3: Bannon had been told by his superiors to be on 403 00:17:11,720 --> 00:17:14,800 Speaker 3: hand to in case the Federal Bureau of Investigation was 404 00:17:14,920 --> 00:17:18,240 Speaker 3: asked to join at top intelligence community briefing for the President, 405 00:17:19,040 --> 00:17:22,600 Speaker 3: but the White House summons never came. Bannon, at PhD 406 00:17:22,680 --> 00:17:26,000 Speaker 3: in microbiology, had joined the Bureau after the September eleventh 407 00:17:26,119 --> 00:17:29,080 Speaker 3: terrorist attacks in New York and Washington, when the agency 408 00:17:29,119 --> 00:17:31,240 Speaker 3: bulked up its expertise to deal with the threat of 409 00:17:31,280 --> 00:17:34,879 Speaker 3: germ weapons, toxins, and other weapons of mass destruction. But 410 00:17:35,000 --> 00:17:36,639 Speaker 3: for more than a year he had spent most of 411 00:17:36,680 --> 00:17:39,160 Speaker 3: his waking hours on the COVID nineteen virus that had 412 00:17:39,160 --> 00:17:43,919 Speaker 3: seeped out of China in twenty nineteen. Frustrated by China stonewalling, 413 00:17:43,920 --> 00:17:46,680 Speaker 3: President Bynet Biden had ordered an urgent assessment by the 414 00:17:46,800 --> 00:17:50,359 Speaker 3: US intelligence agencies and national laboratories on whether the virus 415 00:17:50,359 --> 00:17:53,080 Speaker 3: had leaped from an animal to a human or it 416 00:17:53,280 --> 00:17:55,640 Speaker 3: escaped from a Chinese lab that had been doing extensive 417 00:17:55,640 --> 00:17:59,840 Speaker 3: work on coronaviruses. The dominant view within the intelligence community 418 00:18:00,080 --> 00:18:03,000 Speaker 3: was clear when Averill Haines, the Director of National Intelligence, 419 00:18:03,320 --> 00:18:05,720 Speaker 3: and a couple of our senior analysts, brief Bidens and 420 00:18:05,760 --> 00:18:09,960 Speaker 3: its top aides on August twenty fourth. The National Intelligence Council, 421 00:18:10,000 --> 00:18:12,719 Speaker 3: a body of senior intelligence officers who reported to Haines 422 00:18:13,119 --> 00:18:17,360 Speaker 3: and that organized the intelligence review, had concluded with quote 423 00:18:17,520 --> 00:18:21,080 Speaker 3: low confidence that COVID nineteen had emerged when the virus 424 00:18:21,160 --> 00:18:24,240 Speaker 3: leapt from an animal to a human. So did four 425 00:18:24,320 --> 00:18:29,080 Speaker 3: intelligence agencies at the time. The FBI was the only 426 00:18:29,119 --> 00:18:32,840 Speaker 3: agency that had concluded that a labliku was likely, a 427 00:18:32,960 --> 00:18:37,320 Speaker 3: judgment that it had rendered with quote moderate confidence, but 428 00:18:37,440 --> 00:18:42,199 Speaker 3: neither Bannon nor any other FBI officials were at the 429 00:18:42,240 --> 00:18:45,720 Speaker 3: briefing to make the case first hand to the president, 430 00:18:45,920 --> 00:18:50,160 Speaker 3: quote being the only agency that assessed a laboratory origin 431 00:18:50,280 --> 00:18:53,240 Speaker 3: was more likely, and the agency that expressed the highest 432 00:18:53,320 --> 00:18:56,200 Speaker 3: level confidence in its analysis of the source of the pandemic. 433 00:18:56,760 --> 00:18:59,840 Speaker 3: We anticipated the FBI would be asked to attend the briefing, 434 00:19:00,040 --> 00:19:02,399 Speaker 3: Bannon recalled in his first on the record interview on 435 00:19:02,440 --> 00:19:06,400 Speaker 3: the subject. I find it surprising that the White House 436 00:19:06,440 --> 00:19:08,560 Speaker 3: didn't ask. In this article on the Wall Street Journal, 437 00:19:08,920 --> 00:19:12,960 Speaker 3: it goes on and on discussing Bannon, this FBI scientist, 438 00:19:13,080 --> 00:19:16,320 Speaker 3: but also scientists throughout the federal government who had laid 439 00:19:16,320 --> 00:19:19,680 Speaker 3: out evidence early on that COVID came from a Chinese lab, 440 00:19:20,200 --> 00:19:24,200 Speaker 3: and that evidence was systematically shut down. It was systematically 441 00:19:24,640 --> 00:19:28,400 Speaker 3: de emphasized, and it appears that it was systematically blocked 442 00:19:28,680 --> 00:19:30,760 Speaker 3: from going to the White House under Joe Biden. And 443 00:19:30,840 --> 00:19:33,040 Speaker 3: as I said, I'm very interested. The Wall Street Journal 444 00:19:33,080 --> 00:19:35,920 Speaker 3: doesn't report this, but my suspicion is they were doing 445 00:19:35,960 --> 00:19:38,200 Speaker 3: the exact same thing when Donald Trump was president. 446 00:19:39,160 --> 00:19:42,880 Speaker 2: So here's my question, and this is a political one. 447 00:19:43,000 --> 00:19:46,520 Speaker 2: There are people that are really frustrated with so much 448 00:19:46,560 --> 00:19:49,480 Speaker 2: that happened around COVID and the answers we didn't get 449 00:19:49,600 --> 00:19:53,560 Speaker 2: in Fauci line to Congress. The list goes on and on, 450 00:19:53,920 --> 00:19:55,920 Speaker 2: and there's people that are frustrated in all right, now 451 00:19:55,960 --> 00:19:58,280 Speaker 2: that Republicans are in charge, what are they going to 452 00:19:58,359 --> 00:20:01,040 Speaker 2: do about it? Are they going to investigate? Are they 453 00:20:01,080 --> 00:20:03,560 Speaker 2: going to hold people accountable if they're relying to us, 454 00:20:03,600 --> 00:20:06,440 Speaker 2: whether it's on the origins, with the gang of function research, 455 00:20:06,800 --> 00:20:11,320 Speaker 2: there's a long list. Should Republicans go down that rabbit 456 00:20:11,359 --> 00:20:14,160 Speaker 2: hole and do that? Or is that going to be 457 00:20:14,359 --> 00:20:17,000 Speaker 2: looked at by many Americans like, move on already, We've 458 00:20:17,000 --> 00:20:17,760 Speaker 2: done this already. 459 00:20:17,760 --> 00:20:18,840 Speaker 1: What are you doing already? 460 00:20:19,160 --> 00:20:22,120 Speaker 2: There's a there's a real political price that you could 461 00:20:22,160 --> 00:20:24,040 Speaker 2: pay from being out of touch with what the American 462 00:20:24,040 --> 00:20:25,879 Speaker 2: people want. I know there's people that are angry and 463 00:20:25,920 --> 00:20:29,640 Speaker 2: are frustrated. But what should the strategy become January twentieth. 464 00:20:30,520 --> 00:20:34,480 Speaker 3: I think the strategy should be serious transparency, and it 465 00:20:34,520 --> 00:20:38,080 Speaker 3: should be accountability. It should be no, you are. 466 00:20:38,000 --> 00:20:43,320 Speaker 2: In favor of a accountability conners, Okay, So let me 467 00:20:43,960 --> 00:20:45,399 Speaker 2: let me start with transparency. 468 00:20:45,920 --> 00:20:48,360 Speaker 3: And this is a conversation I have had the last 469 00:20:48,440 --> 00:20:50,760 Speaker 3: couple of weeks with Pam Bondi, who's been nominated to 470 00:20:50,800 --> 00:20:53,520 Speaker 3: be the Attorney General, and with Cash Betel, who's been 471 00:20:53,560 --> 00:20:55,840 Speaker 3: nominated to be the director of the FBI, and also 472 00:20:55,920 --> 00:20:59,399 Speaker 3: with the nominee for the Deputy direct Deputy Attorney General 473 00:20:59,600 --> 00:21:02,160 Speaker 3: and with us the senior law enforcement nominees. I've said 474 00:21:02,280 --> 00:21:06,760 Speaker 3: very simply make the information public. Make it public on 475 00:21:06,840 --> 00:21:11,120 Speaker 3: January sixth, the confidential informants that were there, don't give 476 00:21:11,119 --> 00:21:14,720 Speaker 3: the names, don't out obviously people who are undercover, but 477 00:21:15,800 --> 00:21:19,399 Speaker 3: make the information public. It is a public interest, and 478 00:21:19,520 --> 00:21:22,399 Speaker 3: on COVID nineteen, put the evidence out there and make 479 00:21:22,440 --> 00:21:26,360 Speaker 3: it public. I believe China was directly culpable. And by 480 00:21:26,400 --> 00:21:29,919 Speaker 3: the way, I will say this is a prediction that 481 00:21:30,119 --> 00:21:34,640 Speaker 3: Verdict laid out almost before anybody out else. We had 482 00:21:35,119 --> 00:21:38,919 Speaker 3: two different podcasts I believe in March and April of 483 00:21:38,960 --> 00:21:42,680 Speaker 3: twenty twenty one, right at the very beginning of COVID, 484 00:21:43,280 --> 00:21:47,119 Speaker 3: where we laid out the evidence that the COVID virus 485 00:21:47,200 --> 00:21:51,159 Speaker 3: came from a Chinese lab, and that evidence we're going 486 00:21:51,240 --> 00:21:53,040 Speaker 3: to do for New Year's We're going to do an 487 00:21:53,040 --> 00:21:55,719 Speaker 3: episode going through all of the predictions that Verdict has 488 00:21:55,800 --> 00:21:56,520 Speaker 3: laid out. 489 00:21:56,680 --> 00:21:57,520 Speaker 4: That have come true. 490 00:21:57,560 --> 00:22:01,920 Speaker 3: Because, look, we have not been shy on taking a risk, 491 00:22:02,000 --> 00:22:07,040 Speaker 3: on making a prediction, making a counter intuitive. Look, when 492 00:22:07,080 --> 00:22:10,600 Speaker 3: I said COVID came from a Chinese virus at the time, 493 00:22:10,680 --> 00:22:14,080 Speaker 3: that was almost universally labeled misinformation. 494 00:22:14,880 --> 00:22:17,159 Speaker 2: Oh it well, on social media, you couldn't post that 495 00:22:17,200 --> 00:22:18,119 Speaker 2: they'd shut you down. 496 00:22:18,640 --> 00:22:20,159 Speaker 4: It remains remarkable to this day. 497 00:22:20,200 --> 00:22:22,080 Speaker 3: I don't know why they didn't block verdict when we 498 00:22:22,119 --> 00:22:24,439 Speaker 3: said it, because others were getting blocked. 499 00:22:24,480 --> 00:22:32,160 Speaker 4: Somehow we got through. And and by the way, I. 500 00:22:32,080 --> 00:22:35,840 Speaker 3: Will say, it wasn't just this scientist at the FBI. 501 00:22:35,960 --> 00:22:38,520 Speaker 3: Let me go back to the Wall Street Journal article. 502 00:22:39,040 --> 00:22:40,440 Speaker 3: Here's a couple more paragraphs. 503 00:22:40,480 --> 00:22:40,760 Speaker 4: Quote. 504 00:22:41,640 --> 00:22:45,360 Speaker 3: Three scientists at the National Center for Medical Intelligence, part 505 00:22:45,400 --> 00:22:49,159 Speaker 3: of the Pentagon's Defense Intelligence Agency, conducted a scientific study 506 00:22:49,600 --> 00:22:53,720 Speaker 3: that concluded that COVID nineteen was manipulated in a laboratory 507 00:22:53,840 --> 00:22:57,719 Speaker 3: in a risky research effort, But that analysis was at 508 00:22:57,720 --> 00:23:00,439 Speaker 3: odds with the assessment of their parent agency, the Defense 509 00:23:00,480 --> 00:23:05,119 Speaker 3: Intelligence Agency, and wasn't incorporated in the report presented to Biden. 510 00:23:05,800 --> 00:23:08,800 Speaker 3: That if the DIA Inspector General's Office opened an inquiry 511 00:23:08,800 --> 00:23:12,840 Speaker 3: in the spring into whether the scientist's assessments was mishandled 512 00:23:13,119 --> 00:23:17,639 Speaker 3: or suppressed, people familiar with the matter said, and look, 513 00:23:17,760 --> 00:23:21,600 Speaker 3: I think this is important number one, because we need 514 00:23:21,640 --> 00:23:25,399 Speaker 3: truth and accountability. I think the Chinese government bears enormous 515 00:23:25,440 --> 00:23:30,440 Speaker 3: responsibility for the people who died. For the millions who died, 516 00:23:30,560 --> 00:23:36,240 Speaker 3: one point two million Americans are counted as having been 517 00:23:36,400 --> 00:23:40,040 Speaker 3: killed with the coronavirus, seven million people worldwide. 518 00:23:40,400 --> 00:23:41,000 Speaker 4: It was a. 519 00:23:41,080 --> 00:23:45,879 Speaker 3: Massive consequence, and the economy shut down globally. Trillions of 520 00:23:45,920 --> 00:23:50,840 Speaker 3: dollars was destroyed, millions of lives, trillions of dollars. And 521 00:23:50,880 --> 00:23:55,280 Speaker 3: I believe the Chinese Communist government has direct culpability for that, 522 00:23:56,160 --> 00:24:00,600 Speaker 3: And I think the Trump administration would be doing America 523 00:24:00,600 --> 00:24:03,080 Speaker 3: in the world of service from making that evidence public. 524 00:24:03,119 --> 00:24:05,720 Speaker 3: But I also think it's important Listen, there's going to 525 00:24:05,760 --> 00:24:10,359 Speaker 3: be another crisis. We don't want career bureaucrats within the 526 00:24:10,400 --> 00:24:14,840 Speaker 3: government suppressing evidence that they don't like. We don't want 527 00:24:15,280 --> 00:24:19,879 Speaker 3: career bureaucrats the deep state pushing their preferred narrative. You 528 00:24:19,960 --> 00:24:22,320 Speaker 3: got to ask why they were leaning in so hard 529 00:24:22,359 --> 00:24:26,520 Speaker 3: to protect China. Why was that the dominant narrative, and 530 00:24:27,680 --> 00:24:32,320 Speaker 3: why why was everything else shut down? Because the next 531 00:24:32,359 --> 00:24:35,520 Speaker 3: crisis we face. Let's go back to the Wall Street 532 00:24:35,560 --> 00:24:39,400 Speaker 3: Journal article, because we also saw the scientific community lean 533 00:24:39,480 --> 00:24:43,479 Speaker 3: in like crazy. Here's another two paragraphs talking about two theories, 534 00:24:43,520 --> 00:24:45,919 Speaker 3: one that it came from an animal naturally and the 535 00:24:45,920 --> 00:24:49,280 Speaker 3: other that it came from a lab leak quote. Those 536 00:24:49,320 --> 00:24:52,440 Speaker 3: two theories have also divided the scientific community. In February 537 00:24:52,520 --> 00:24:55,800 Speaker 3: twenty twenty, more than two dozen scientists publish a statement 538 00:24:55,840 --> 00:24:59,560 Speaker 3: in the medical journal Landset calling the lab leek hypothesis 539 00:24:59,600 --> 00:25:03,919 Speaker 3: a concer conspiracy theory that would jeopardize global cooperation and 540 00:25:03,960 --> 00:25:07,199 Speaker 3: the struggle against the virus. One of the authors was 541 00:25:07,240 --> 00:25:11,320 Speaker 3: Peter Dazik of EcoHealth Alliance, a nonprofit that has worked 542 00:25:11,359 --> 00:25:17,879 Speaker 3: extensively on coronavirus research with the Wuhan Institute. That statement 543 00:25:17,920 --> 00:25:19,920 Speaker 3: was followed a month later by a March twenty twenty 544 00:25:19,920 --> 00:25:23,440 Speaker 3: paper on the proximal Origins of COVID nineteen, in which 545 00:25:23,560 --> 00:25:26,200 Speaker 3: Kristin Anderson of the Script's Research Institute and four other 546 00:25:26,320 --> 00:25:30,920 Speaker 3: scientists argued that the virus wasn't purposely manipulated in the 547 00:25:31,000 --> 00:25:34,720 Speaker 3: laboratory and almost certainly had natural origins. Now my view, 548 00:25:34,760 --> 00:25:37,480 Speaker 3: right now, based on the evidence that is public, I 549 00:25:37,520 --> 00:25:42,480 Speaker 3: think it is overwhelmingly likely that the COVID virus escaped 550 00:25:42,800 --> 00:25:44,320 Speaker 3: from a Chinese government lamp. 551 00:25:45,119 --> 00:25:46,480 Speaker 4: And I think it is likely. 552 00:25:46,520 --> 00:25:48,639 Speaker 3: I wouldn't use the word overwhelmingly, but I think it 553 00:25:48,680 --> 00:25:52,199 Speaker 3: is greater than fifty percent that the COVID virus was 554 00:25:52,280 --> 00:25:56,000 Speaker 3: manipulated by those Chinese scientists through gain of function research 555 00:25:56,400 --> 00:26:01,240 Speaker 3: to make it either more deadly, more trans dismissible, or 556 00:26:01,440 --> 00:26:03,280 Speaker 3: more in particular. 557 00:26:04,240 --> 00:26:05,920 Speaker 4: Able to impact humans. 558 00:26:07,040 --> 00:26:09,880 Speaker 3: That has not been as conclusively proven as has been 559 00:26:10,080 --> 00:26:12,639 Speaker 3: has been proven in my judgment that it escaped from 560 00:26:12,640 --> 00:26:15,200 Speaker 3: a government lab. It's possible it was a natural virus 561 00:26:15,680 --> 00:26:18,639 Speaker 3: and they screwed up and and it escaped. It is 562 00:26:18,720 --> 00:26:21,320 Speaker 3: indisputable that China covered it up and did everything they 563 00:26:21,320 --> 00:26:23,840 Speaker 3: could to suppress it after the fact. But I think 564 00:26:23,840 --> 00:26:25,760 Speaker 3: it is more likely than not that not only did 565 00:26:25,760 --> 00:26:28,320 Speaker 3: it escape from a Chinese government lab, but they created 566 00:26:28,359 --> 00:26:31,199 Speaker 3: it through gain it to function research. We need to 567 00:26:31,320 --> 00:26:33,840 Speaker 3: know that, and I gotta say the paragraph I read, 568 00:26:34,560 --> 00:26:37,800 Speaker 3: Peter Dazik got a whole lot of money at the 569 00:26:37,800 --> 00:26:41,560 Speaker 3: EcoHealth Alliance for doing research on coronavirus research at the 570 00:26:41,560 --> 00:26:45,640 Speaker 3: Wuhana Institute. There's every reason to expect he was deeply 571 00:26:45,680 --> 00:26:49,000 Speaker 3: invested in not having anyone know that. And by the way, 572 00:26:49,080 --> 00:26:53,800 Speaker 3: so was Anthony Fauci, and Anthony Fauci's culpability Dazik's culpability. 573 00:26:53,800 --> 00:26:56,240 Speaker 3: I hope we have congressional hearings on this. I hope 574 00:26:56,240 --> 00:26:58,360 Speaker 3: we get to the bottom of what actually happened, because 575 00:26:58,400 --> 00:27:02,560 Speaker 3: I think there's there is virtue to transparency and clarity, 576 00:27:03,240 --> 00:27:07,520 Speaker 3: both for accountability and responsibility for the Chinese Communist government, 577 00:27:07,600 --> 00:27:11,760 Speaker 3: but also to prevent manipulating the science for the next crisis. 578 00:27:12,160 --> 00:27:14,880 Speaker 2: So final question on this, and that's going to come 579 00:27:14,920 --> 00:27:17,960 Speaker 2: back to Fauci. What does accountability look like for a 580 00:27:18,000 --> 00:27:18,680 Speaker 2: guy like that? 581 00:27:19,200 --> 00:27:23,000 Speaker 3: Look, I don't know. I think it is likely that 582 00:27:23,040 --> 00:27:26,360 Speaker 3: Fauci lied to Congress under oath. Lying to Congress under 583 00:27:26,359 --> 00:27:29,680 Speaker 3: oath is a felony. I've called repeatedly. I've asked Merrick 584 00:27:29,720 --> 00:27:33,199 Speaker 3: Garland if he's opened an investigation, if he's willing to 585 00:27:33,200 --> 00:27:36,440 Speaker 3: prosecute Fauci. Merrick Garland had no interest in prosecuting Fauci. 586 00:27:36,760 --> 00:27:39,240 Speaker 3: As I'm sitting here right now, I don't remember the dates. 587 00:27:39,280 --> 00:27:41,720 Speaker 3: I think it is likely the statute of Limitations has 588 00:27:41,760 --> 00:27:46,439 Speaker 3: expired on prosecuting him. So it may be I'm not 589 00:27:46,520 --> 00:27:48,159 Speaker 3: remembering the dates as you and I are doing this 590 00:27:48,240 --> 00:27:50,120 Speaker 3: right now. But I think there's a good chance that 591 00:27:50,160 --> 00:27:55,320 Speaker 3: Trump cannot prosecute Fauci for line to Congress. But I 592 00:27:55,359 --> 00:27:57,879 Speaker 3: think laying out that accountability is important, and I think 593 00:27:57,960 --> 00:28:00,520 Speaker 3: The reason the Biden DOJ didn't want to do so 594 00:28:00,680 --> 00:28:03,720 Speaker 3: is because this has been the most politicized Department of 595 00:28:03,840 --> 00:28:07,840 Speaker 3: Justice in history. Fauci went before Congress and insisted that 596 00:28:08,280 --> 00:28:11,720 Speaker 3: the US government had not paid for had not funded 597 00:28:11,760 --> 00:28:15,240 Speaker 3: gain A function research, and actually the NIH came back 598 00:28:15,240 --> 00:28:17,280 Speaker 3: and had to correct that after the fact and make 599 00:28:17,359 --> 00:28:19,479 Speaker 3: clear that what he said was false. 600 00:28:20,040 --> 00:28:22,919 Speaker 2: Which this, by the way, brings me to a perfect 601 00:28:24,040 --> 00:28:27,400 Speaker 2: segue to the second topic I wanted to hit. And 602 00:28:27,920 --> 00:28:32,720 Speaker 2: the way that you're talking about accountability maybe explains why 603 00:28:32,800 --> 00:28:37,960 Speaker 2: we are now seeing Democrats write articles saying that it's 604 00:28:38,000 --> 00:28:40,840 Speaker 2: time to steal the election from Donald Trump. In the Hill, 605 00:28:40,920 --> 00:28:44,760 Speaker 2: for example, Congress has the power to block trumpet from 606 00:28:44,800 --> 00:28:49,600 Speaker 2: taking office, but lawmakers must quote act. Now, this was 607 00:28:49,640 --> 00:28:53,920 Speaker 2: an opinion, a piece written by two different individuals demanding 608 00:28:53,920 --> 00:28:57,719 Speaker 2: that the Democrats refuse to accept the outcome of the election. 609 00:28:57,960 --> 00:29:00,800 Speaker 2: So much for the party that's obsessed with democ Chrissy, right. 610 00:29:01,120 --> 00:29:02,200 Speaker 4: Yeah, I gotta say. 611 00:29:02,200 --> 00:29:04,440 Speaker 3: This is an article that was in the Hill that 612 00:29:04,480 --> 00:29:07,200 Speaker 3: it came out again on December twenty sixth day after Christmas. 613 00:29:08,080 --> 00:29:10,400 Speaker 3: It is entitled Congress has the power to block Trump 614 00:29:10,400 --> 00:29:13,600 Speaker 3: from taking office, but lawmakers must act now, and it 615 00:29:13,680 --> 00:29:19,440 Speaker 3: is by Evan Davis and David Shulty, who I don't 616 00:29:19,440 --> 00:29:20,680 Speaker 3: know either one of these individuals. 617 00:29:20,720 --> 00:29:21,880 Speaker 4: I don't know anything about them. 618 00:29:21,880 --> 00:29:25,920 Speaker 3: Their bio says Evan Davis was editor in chief of 619 00:29:25,920 --> 00:29:28,160 Speaker 3: the Columbia Law Review and David Shulty was editor in 620 00:29:28,200 --> 00:29:31,120 Speaker 3: chief of the Yale Law Journal, both clerk for Justice 621 00:29:31,160 --> 00:29:34,080 Speaker 3: Potter Stewart. Davis is a New York lawyer served as 622 00:29:34,080 --> 00:29:35,800 Speaker 3: president of the New York City Bar, and Shulty is 623 00:29:35,840 --> 00:29:39,080 Speaker 3: a Chicago investment banker. I don't know these guys, but 624 00:29:39,160 --> 00:29:41,720 Speaker 3: it's been a long time since Potter Stewart served on 625 00:29:41,760 --> 00:29:45,000 Speaker 3: the Court, which means these are not spring chickens. They 626 00:29:45,040 --> 00:29:48,440 Speaker 3: were law clerks a long time ago. I mean I 627 00:29:48,560 --> 00:29:52,719 Speaker 3: clerked for Chief Justice Rehnquist in nineteen ninety six, and 628 00:29:52,760 --> 00:29:54,800 Speaker 3: by the time I was there, Potter Stewart had been 629 00:29:54,880 --> 00:29:57,440 Speaker 3: long long god, And I got to say that. The 630 00:29:57,440 --> 00:29:59,920 Speaker 3: most screamingly funny part of it is they begin their 631 00:30:00,080 --> 00:30:01,920 Speaker 3: iOS with they were editor in chief of the Columbia 632 00:30:01,960 --> 00:30:04,760 Speaker 3: Law Review and the dal Law Journal. Like I'm sorry. 633 00:30:04,800 --> 00:30:08,080 Speaker 3: These are presumably accomplished lawyers who were grown ass adults, 634 00:30:08,160 --> 00:30:11,200 Speaker 3: and they're quoting the Law Review. They were on when 635 00:30:11,240 --> 00:30:14,640 Speaker 3: they were twenty four years old. That's just ridiculous, and 636 00:30:16,760 --> 00:30:20,200 Speaker 3: it actually it makes the rest of the article makes 637 00:30:20,280 --> 00:30:24,680 Speaker 3: sense because listen, part of the reason our academy. 638 00:30:24,440 --> 00:30:26,360 Speaker 4: Is so messed up. 639 00:30:27,120 --> 00:30:30,240 Speaker 3: Is is you have people who are disconnected from reality, 640 00:30:30,280 --> 00:30:33,880 Speaker 3: who are hardcore leftists. Far too many people in our 641 00:30:34,000 --> 00:30:38,760 Speaker 3: universities are openly Marxist. When I was at Harvard Law School, 642 00:30:38,760 --> 00:30:42,360 Speaker 3: there were more professors on the faculty who were explicitly 643 00:30:42,440 --> 00:30:45,440 Speaker 3: Marxist than there were who were Republican. And it wasn't 644 00:30:45,440 --> 00:30:47,240 Speaker 3: even close. There were there were more than a dozen 645 00:30:48,800 --> 00:30:51,200 Speaker 3: by their own self description Marxist professors. 646 00:30:51,200 --> 00:30:51,320 Speaker 4: There. 647 00:30:51,480 --> 00:30:54,200 Speaker 3: There was only one open Republican on the faculty when 648 00:30:54,200 --> 00:30:57,760 Speaker 3: I was there. But what these two numb skulls are 649 00:30:57,880 --> 00:31:01,000 Speaker 3: arguing is that Congress, when when we come together on 650 00:31:01,080 --> 00:31:05,440 Speaker 3: January sixth, should block Trump from becoming president, and we 651 00:31:05,440 --> 00:31:08,960 Speaker 3: should do so. They argue under the fourteenth Amendment, Section 652 00:31:09,040 --> 00:31:12,280 Speaker 3: three of the Constitution that says no person shall hold 653 00:31:12,320 --> 00:31:15,200 Speaker 3: any office civil or military, who, having previously taken an 654 00:31:15,200 --> 00:31:19,200 Speaker 3: oath sports Constitution, shall have engaged in insurrection or rebellion 655 00:31:19,200 --> 00:31:24,960 Speaker 3: against the same. Now, they argue, this has been disqualification. 656 00:31:25,080 --> 00:31:29,000 Speaker 3: The evidence of Trump's engagement and insurrection is overwhelming. It 657 00:31:29,040 --> 00:31:32,080 Speaker 3: has been decided in three separate forums they write, two 658 00:31:32,080 --> 00:31:34,080 Speaker 3: of which are fully contested with the active participation in 659 00:31:34,120 --> 00:31:39,240 Speaker 3: Trump's council. The first was Trump's second impeachment trial. The 660 00:31:39,280 --> 00:31:45,240 Speaker 3: second contested proceeding was Colorado's five day judicials Judicial d 661 00:31:45,360 --> 00:31:48,480 Speaker 3: process hearing where they found that trumpeld engage in insurrection 662 00:31:48,560 --> 00:31:51,200 Speaker 3: and barred him from the ballot. And finally there is 663 00:31:51,240 --> 00:31:54,120 Speaker 3: the bipartisan inquiry of the House Select Committee to investigate 664 00:31:54,200 --> 00:31:59,760 Speaker 3: January sixth. Now, the stupidity of this argument literally leaps 665 00:31:59,760 --> 00:32:02,360 Speaker 3: off of every syllable of every word that they have written. 666 00:32:02,800 --> 00:32:06,560 Speaker 3: Let's take the first. Okay, a bunch of partisan Democrats 667 00:32:06,640 --> 00:32:09,520 Speaker 3: in peach Trump because they hate him. And by the way, 668 00:32:09,520 --> 00:32:12,480 Speaker 3: to be clear, verdict was launched in response, not to 669 00:32:12,520 --> 00:32:14,240 Speaker 3: the second impeachment. I have been a response to the 670 00:32:14,280 --> 00:32:17,600 Speaker 3: first impeachment trial because we have seen law fair against 671 00:32:17,600 --> 00:32:21,640 Speaker 3: Donald Trump. Trump derangement syndrome is real. It is a 672 00:32:21,800 --> 00:32:25,280 Speaker 3: serious mental illness. These people are friggin nuts. They hate 673 00:32:25,320 --> 00:32:28,160 Speaker 3: his guts, They've lost their minds. And at this point 674 00:32:28,280 --> 00:32:33,280 Speaker 3: understand these two numskulls and every other Democrat who engage 675 00:32:33,520 --> 00:32:38,920 Speaker 3: is in fantasy about this is an election denier and 676 00:32:38,960 --> 00:32:41,600 Speaker 3: an insurrectionist. They are trying to say, we don't care 677 00:32:41,640 --> 00:32:43,800 Speaker 3: that the voters voted. We don't care that the result 678 00:32:43,880 --> 00:32:47,040 Speaker 3: was overwhelming. We don't care that of the seven contested 679 00:32:47,080 --> 00:32:50,560 Speaker 3: battleground states donald Trump one, not two, not three, not four, 680 00:32:50,600 --> 00:32:54,400 Speaker 3: not five, nine, six, but seven all seven. We don't care. 681 00:32:54,520 --> 00:32:59,120 Speaker 3: We are angry leftists and their argument is we should 682 00:32:59,160 --> 00:33:02,160 Speaker 3: block it now. To be clear, they said there were 683 00:33:02,520 --> 00:33:05,400 Speaker 3: three different proceedings that had determined he was an insurrectionists. 684 00:33:05,440 --> 00:33:08,120 Speaker 3: The first was the impeachment trial. Of course, the impeachment 685 00:33:08,160 --> 00:33:11,440 Speaker 3: trial is two parts. One is the impeachment in the House. 686 00:33:11,520 --> 00:33:14,040 Speaker 3: Representatives and partisan Democrats did impeach him, but then it 687 00:33:14,080 --> 00:33:16,080 Speaker 3: went to the Senate and there was a trial, and 688 00:33:16,160 --> 00:33:18,200 Speaker 3: at the end of the trial, Donald Trump was acquitted. 689 00:33:18,800 --> 00:33:20,880 Speaker 3: They ignore that fact that literally is not mentioned in 690 00:33:20,880 --> 00:33:25,680 Speaker 3: the roped. The second is the Colorado the radical partisan 691 00:33:25,720 --> 00:33:29,080 Speaker 3: decision of the Colorado Supreme Court, except for the fact 692 00:33:29,080 --> 00:33:34,400 Speaker 3: that the US Supreme Court unanimously reversed that decision. By 693 00:33:34,400 --> 00:33:37,240 Speaker 3: the way, that's another prediction I made on this podcast. 694 00:33:37,360 --> 00:33:40,160 Speaker 3: When the Colorado Supreme Court came back down I said, 695 00:33:40,160 --> 00:33:42,880 Speaker 3: this will be reversed, and it will be reversed unanimously. 696 00:33:43,000 --> 00:33:47,440 Speaker 3: That's what the court did. They barely acknowledged the Supreme 697 00:33:47,480 --> 00:33:49,200 Speaker 3: Court reversed it, but they just kind of ignore it 698 00:33:49,200 --> 00:33:51,240 Speaker 3: and say, well, that's another way it was determined in 699 00:33:51,400 --> 00:33:54,760 Speaker 3: a decision that has been reversed unanimously by the Supreme Court. 700 00:33:55,160 --> 00:33:58,720 Speaker 3: And the third I really laugh is the quote bipartisan 701 00:33:58,760 --> 00:34:01,920 Speaker 3: inquiry of the House Select Gmity to investigate January sixth. 702 00:34:01,960 --> 00:34:05,320 Speaker 3: Now it's bipartisan because Liz Cheney and Adam Kinzinger are 703 00:34:05,320 --> 00:34:08,520 Speaker 3: two people fully afflicted by Trump arrangements. Center more included. 704 00:34:08,600 --> 00:34:11,160 Speaker 3: Of course, Nancy Pelosi allowed no Republicans on. 705 00:34:11,360 --> 00:34:14,240 Speaker 2: Rather the way voted for Kamwa Harris and Joe Biden. 706 00:34:14,520 --> 00:34:16,719 Speaker 2: So let's not forget that. But they're like, oh, they 707 00:34:16,800 --> 00:34:18,080 Speaker 2: act like they were Republicans. 708 00:34:18,120 --> 00:34:18,560 Speaker 1: No, they're not. 709 00:34:19,239 --> 00:34:21,000 Speaker 3: I'd look to be clear. And by the way, both 710 00:34:21,040 --> 00:34:23,240 Speaker 3: of them also campaigned against me. I was really grateful 711 00:34:23,239 --> 00:34:24,920 Speaker 3: for it. I think that was quite helpful, probably drove 712 00:34:25,000 --> 00:34:30,279 Speaker 3: votes my way. But to call that inquiry bipartisan when 713 00:34:31,280 --> 00:34:34,759 Speaker 3: the way committees are put together on Capitol Hill is 714 00:34:35,200 --> 00:34:39,680 Speaker 3: that both sides pick The Republicans pick the Republicans on 715 00:34:39,680 --> 00:34:42,359 Speaker 3: the committee. The Democrats pick the Democrats on the committee. Well, 716 00:34:42,360 --> 00:34:45,040 Speaker 3: for the January sixth committee, Nancy Pelosi said, no, no, no, 717 00:34:45,480 --> 00:34:48,759 Speaker 3: I'm picking the Republicans. And the only Republicans I will 718 00:34:48,800 --> 00:34:51,399 Speaker 3: allow on are people who hate Donald Trump, who are 719 00:34:51,440 --> 00:34:53,399 Speaker 3: foaming at the mouth, that will do everything they can 720 00:34:53,480 --> 00:34:55,839 Speaker 3: to destroy Donald Trump. They're the only ones I will 721 00:34:55,880 --> 00:34:59,960 Speaker 3: allow on. And so you know, when you had other 722 00:35:00,120 --> 00:35:02,799 Speaker 3: Republicans that Kevin McCarthy was trying to put on, Nancy 723 00:35:02,840 --> 00:35:05,880 Speaker 3: Pelos has said, nope, they are not welcome. We only 724 00:35:06,040 --> 00:35:09,880 Speaker 3: take Republicans who agree with the Democrats on everything that 725 00:35:09,920 --> 00:35:12,439 Speaker 3: ain't a bipartisan inquiry. And by the way, we're getting 726 00:35:12,480 --> 00:35:14,440 Speaker 3: more and more evidence of just how skew that was. 727 00:35:15,520 --> 00:35:17,840 Speaker 3: The point is, at the end of the day, it 728 00:35:17,880 --> 00:35:22,080 Speaker 3: doesn't really matter what this op ed was, other than 729 00:35:22,120 --> 00:35:26,239 Speaker 3: it is a window into the eyes of what the 730 00:35:26,360 --> 00:35:31,560 Speaker 3: hard left is. They hate Trump so much. Sigmund Freud 731 00:35:31,560 --> 00:35:35,440 Speaker 3: talked about projection, and the left engages in projection all 732 00:35:35,480 --> 00:35:39,480 Speaker 3: the time. Everything they accuse their enemies of doing is 733 00:35:39,480 --> 00:35:42,960 Speaker 3: what they are doing. They claim to be defending democracy. 734 00:35:43,600 --> 00:35:47,560 Speaker 3: This may be the most anti democratic article I have 735 00:35:47,680 --> 00:35:51,560 Speaker 3: ever read. Which is saying that Congress should say, I 736 00:35:51,680 --> 00:35:54,359 Speaker 3: don't care that the voters elected Trump. And by the way, 737 00:35:54,400 --> 00:35:57,839 Speaker 3: they don't dispute that the voters elect Trump. They fully accept. Yes, 738 00:35:57,960 --> 00:36:01,000 Speaker 3: the American people came to vote and want Donald Trump. 739 00:36:01,400 --> 00:36:04,959 Speaker 3: But we know better than they do, and so take 740 00:36:05,000 --> 00:36:09,000 Speaker 3: a stand and take a stand to block what the 741 00:36:09,080 --> 00:36:13,200 Speaker 3: voters want. Why because we are Democrats and we hate democracy. 742 00:36:13,400 --> 00:36:15,840 Speaker 3: They don't say that, but that's clearly what they conclude. 743 00:36:16,000 --> 00:36:18,080 Speaker 2: Yeah, so much for the party of Hey, we're all 744 00:36:18,120 --> 00:36:20,520 Speaker 2: for whatever the people want. No, when it comes down 745 00:36:20,560 --> 00:36:22,320 Speaker 2: to it, this is what they do. 746 00:36:22,320 --> 00:36:24,640 Speaker 1: Don't forget. We do this show money Wednesday and Friday. 747 00:36:24,760 --> 00:36:28,040 Speaker 2: Hit that subscriber auto download button on those in between days, 748 00:36:28,360 --> 00:36:31,040 Speaker 2: grab my podcast, the Ben Ferguson Podcasts. I'll keep you 749 00:36:31,080 --> 00:36:33,080 Speaker 2: up to date on what's going on. 750 00:36:32,520 --> 00:36:33,760 Speaker 1: On those in between days. 751 00:36:33,920 --> 00:36:34,799 Speaker 4: And we do this. 752 00:36:34,880 --> 00:36:36,400 Speaker 2: Like I said, Monday, Wen was in Friday, So we 753 00:36:36,440 --> 00:36:38,400 Speaker 2: will see you back here in a couple of days.