1 00:00:09,680 --> 00:00:13,040 Speaker 1: Hi, everyone. This is a bonus episode of Bleep with 2 00:00:13,119 --> 00:00:16,400 Speaker 1: Anna Navarro. I am Anna Navarro, and today we're going 3 00:00:16,480 --> 00:00:19,239 Speaker 1: to break down Donald Trump's State of the Union address, 4 00:00:19,280 --> 00:00:22,080 Speaker 1: which he gave earlier this week on Tuesday. And if 5 00:00:22,079 --> 00:00:24,239 Speaker 1: you watched it and felt like you did in eighth 6 00:00:24,239 --> 00:00:27,120 Speaker 1: grade when you were reading the Odyssey and thought it 7 00:00:27,200 --> 00:00:29,440 Speaker 1: was never going to come to an end, you had 8 00:00:29,520 --> 00:00:32,639 Speaker 1: reason to feel that way. It was one hour and 9 00:00:32,920 --> 00:00:36,440 Speaker 1: forty seven minutes long. So if you made it through 10 00:00:36,479 --> 00:00:39,320 Speaker 1: the hour and forty seven minutes, here's to you. I 11 00:00:39,520 --> 00:00:43,159 Speaker 1: toast to you. If you decided not to watch it, 12 00:00:43,680 --> 00:00:48,720 Speaker 1: I toast to you even more. But listen, let's start 13 00:00:48,960 --> 00:00:53,320 Speaker 1: at the beginning State of the Union addresses. These things 14 00:00:53,520 --> 00:00:56,680 Speaker 1: used to be completely different and viewed completely different by 15 00:00:56,680 --> 00:01:00,680 Speaker 1: the country. I remember as a child first arriving to 16 00:01:00,720 --> 00:01:03,520 Speaker 1: the United States. I was eight years old. I would 17 00:01:03,520 --> 00:01:06,960 Speaker 1: hang on every word, even when I wasn't understanding English 18 00:01:06,959 --> 00:01:09,760 Speaker 1: fully that Ronald Reagan would speak. And I have been 19 00:01:09,800 --> 00:01:12,280 Speaker 1: watching State of the Union addresses because I was a 20 00:01:13,160 --> 00:01:16,760 Speaker 1: kid that loved politics my entire life. It's like a 21 00:01:16,800 --> 00:01:19,759 Speaker 1: really big deal for me. It's something that I set 22 00:01:19,800 --> 00:01:22,360 Speaker 1: everything down and I want to watch it. Of course 23 00:01:22,400 --> 00:01:24,640 Speaker 1: now it's part of my job, but it's something that 24 00:01:24,680 --> 00:01:27,120 Speaker 1: I've always done and a lot of the country has 25 00:01:27,240 --> 00:01:30,720 Speaker 1: always done it, because these are speeches that were meant 26 00:01:30,760 --> 00:01:35,600 Speaker 1: to give us the state of our country, to announce 27 00:01:36,000 --> 00:01:43,199 Speaker 1: new proposals, new policies, new legislative initiatives, to talk about accomplishments. 28 00:01:43,440 --> 00:01:46,200 Speaker 1: But these were also speeches that were meant to unify 29 00:01:46,280 --> 00:01:49,800 Speaker 1: the country. And where a president was speaking not just 30 00:01:49,920 --> 00:01:53,040 Speaker 1: to his party, not just to his base, but to 31 00:01:53,080 --> 00:01:58,320 Speaker 1: his entire constituency of US citizens and people who live 32 00:01:58,360 --> 00:02:01,240 Speaker 1: in the United States. That's not what Donald Trump does. 33 00:02:01,680 --> 00:02:05,760 Speaker 1: Donald Trump makes these speeches political. He's speaking only to 34 00:02:05,960 --> 00:02:10,760 Speaker 1: his base. He is attacking and condemning anybody who doesn't 35 00:02:10,760 --> 00:02:14,200 Speaker 1: agree with him. Yesterday he called Democrats crazy, and he 36 00:02:14,240 --> 00:02:16,799 Speaker 1: attacked them and blamed them for a bunch of things. 37 00:02:17,040 --> 00:02:19,239 Speaker 1: So this is a completely different animal than it used 38 00:02:19,280 --> 00:02:22,919 Speaker 1: to be. I remember growing up, my congresswoman was Ileana 39 00:02:23,000 --> 00:02:28,000 Speaker 1: Ross Layton, Republican congresswoman, Cuban American that represented South Florida. 40 00:02:28,400 --> 00:02:30,800 Speaker 1: And she would go and she would scout out a 41 00:02:30,919 --> 00:02:34,040 Speaker 1: seat on the aisle of the floor of the House 42 00:02:34,080 --> 00:02:36,640 Speaker 1: of Representatives and she would sit there all day. She'd 43 00:02:36,680 --> 00:02:39,560 Speaker 1: pack her breakfast, her lunch, and her dinner and sit 44 00:02:39,600 --> 00:02:42,080 Speaker 1: there all day in order to have an aisle seat 45 00:02:42,360 --> 00:02:44,960 Speaker 1: so she could say hello to the President as he 46 00:02:45,040 --> 00:02:48,000 Speaker 1: came in, whether it was a Republican of her party 47 00:02:48,120 --> 00:02:51,480 Speaker 1: or a Democrat. She did it year after year, took 48 00:02:51,520 --> 00:02:54,200 Speaker 1: the picture, got in the camera shop because it was 49 00:02:54,280 --> 00:02:57,040 Speaker 1: that big a deal, and it didn't matter. It didn't 50 00:02:57,040 --> 00:03:00,440 Speaker 1: matter whether you were a Democrat or a republic or 51 00:03:00,480 --> 00:03:03,840 Speaker 1: anything else. You were an American on those nights. That's 52 00:03:03,880 --> 00:03:07,160 Speaker 1: not what the reality is in twenty twenty six under 53 00:03:07,320 --> 00:03:11,359 Speaker 1: Donald Trump. So for this State of the Union, many Democrats, 54 00:03:11,639 --> 00:03:15,320 Speaker 1: upwards of seventy Democrats decided to boycott. And you know, 55 00:03:15,360 --> 00:03:19,639 Speaker 1: I was watching TV and I saw some folks criticizing 56 00:03:19,680 --> 00:03:24,040 Speaker 1: the Democrats, including other Democrats that decided to boycott. I 57 00:03:24,040 --> 00:03:29,120 Speaker 1: saw people like my CNN colleagues and friends like Michael Smerconish, 58 00:03:29,280 --> 00:03:33,639 Speaker 1: like Round Emmanuel who worked in the Obama White House, 59 00:03:34,639 --> 00:03:39,160 Speaker 1: criticizing the folks who had decided to skip the State 60 00:03:39,200 --> 00:03:42,200 Speaker 1: of the Union. And I asked myself, what would I 61 00:03:42,320 --> 00:03:46,640 Speaker 1: do theoretically, if I was in Congress, would I sit 62 00:03:46,720 --> 00:03:50,280 Speaker 1: through this? And you know, I've always considered myself an institutionalist. 63 00:03:50,320 --> 00:03:53,200 Speaker 1: I love the ceremony, I love the pomp and circumstance 64 00:03:53,280 --> 00:03:56,800 Speaker 1: and the gravity and seriousness of a night like the 65 00:03:56,840 --> 00:03:59,120 Speaker 1: State of the Union. But I don't think I would 66 00:03:59,120 --> 00:04:01,200 Speaker 1: have attended. I think I would have been one of 67 00:04:01,240 --> 00:04:05,800 Speaker 1: those who skipped it. And I realized that most of 68 00:04:05,840 --> 00:04:08,640 Speaker 1: the people, all of the people that I saw on 69 00:04:08,720 --> 00:04:13,680 Speaker 1: TV criticizing those who decided to skip the State of 70 00:04:13,720 --> 00:04:17,400 Speaker 1: the Union, were white men. And I think it may 71 00:04:17,520 --> 00:04:21,800 Speaker 1: hit differently when you're not a white man. And I 72 00:04:21,839 --> 00:04:24,360 Speaker 1: don't mean to make it racial, because not everything is, 73 00:04:24,920 --> 00:04:27,600 Speaker 1: but you have to understand. I think it is particularly 74 00:04:27,640 --> 00:04:32,400 Speaker 1: different and difficult if you are a black member of 75 00:04:32,440 --> 00:04:38,800 Speaker 1: Congress and Donald Trump has just posted a meme depicting 76 00:04:38,880 --> 00:04:44,440 Speaker 1: Baraka Michelle Obama as apes is trying actively to erase 77 00:04:44,480 --> 00:04:49,120 Speaker 1: and whitewash history. It hits differently if you are a 78 00:04:49,160 --> 00:04:52,320 Speaker 1: member of the Hispanic Caucus of Congress and for a 79 00:04:52,400 --> 00:04:56,599 Speaker 1: whole year you have watched our community being terrorized. You 80 00:04:56,680 --> 00:05:00,800 Speaker 1: have seen our children being put in detention centers and 81 00:05:00,920 --> 00:05:05,280 Speaker 1: inhumane conditions. You have seen our pregnant women get dragged 82 00:05:05,279 --> 00:05:09,240 Speaker 1: through the streets. You have seen our community racially profiled 83 00:05:09,279 --> 00:05:13,679 Speaker 1: and hit with sticks and attacked and pepper sprayed and killed. 84 00:05:14,040 --> 00:05:18,000 Speaker 1: At times, it hits differently. It hits differently if you 85 00:05:18,120 --> 00:05:22,360 Speaker 1: are a woman and you know that this administration is 86 00:05:22,920 --> 00:05:28,440 Speaker 1: failing the Epstein victims. Yet again, the survivors were in 87 00:05:28,480 --> 00:05:32,080 Speaker 1: the hall yesterday and Donald Trump never once had so 88 00:05:32,160 --> 00:05:35,760 Speaker 1: much as one word of acknowledgment or recognition for the 89 00:05:35,800 --> 00:05:38,839 Speaker 1: Epstein survivors who were sitting there in front of him. 90 00:05:39,120 --> 00:05:42,279 Speaker 1: So I don't think it's by coincidence that most of 91 00:05:42,320 --> 00:05:46,600 Speaker 1: the people I watched on news and cable channels criticizing 92 00:05:46,600 --> 00:05:51,040 Speaker 1: those who boycotted are white men. It's different. It's different 93 00:05:51,400 --> 00:05:54,200 Speaker 1: for those of us who aren't white men, and I 94 00:05:55,120 --> 00:05:58,080 Speaker 1: am all for those who boycott it. Frankly, I think 95 00:05:58,160 --> 00:06:01,400 Speaker 1: I would have boycotted had I been in Congress, because 96 00:06:01,440 --> 00:06:03,880 Speaker 1: I don't think I could sit there and listen to 97 00:06:04,080 --> 00:06:07,400 Speaker 1: one hour and forty seven minutes of lies from a 98 00:06:07,520 --> 00:06:12,400 Speaker 1: presdent who has perpetrated such terror and injustice on my 99 00:06:12,520 --> 00:06:16,440 Speaker 1: community in particular. But Okay, now that we've gone through that, 100 00:06:16,560 --> 00:06:19,880 Speaker 1: let's talk about the meat or lack thereof, of the 101 00:06:19,960 --> 00:06:23,760 Speaker 1: state of the Union itself. The speech. The speech was 102 00:06:23,839 --> 00:06:28,920 Speaker 1: rather med. It was boring the rants of a senile 103 00:06:29,080 --> 00:06:34,640 Speaker 1: old man. But it was full of feel good moments. 104 00:06:34,680 --> 00:06:37,080 Speaker 1: It was full of moments that had us all in 105 00:06:37,160 --> 00:06:41,080 Speaker 1: our feelings as Americans. So I kind of felt like 106 00:06:41,120 --> 00:06:45,000 Speaker 1: when you get when you get a cheap gift from 107 00:06:45,040 --> 00:06:49,039 Speaker 1: someone and it's wrapped in beautiful rapping, when you see 108 00:06:49,040 --> 00:06:52,240 Speaker 1: the rapping and the bow, and you think to yourself, man, 109 00:06:52,640 --> 00:06:54,279 Speaker 1: this is great, and then you open it up and 110 00:06:54,320 --> 00:06:57,000 Speaker 1: there's nothing inside. This is how that State of the 111 00:06:57,120 --> 00:07:01,440 Speaker 1: Union felt. The speech itself was of lies. It was 112 00:07:01,480 --> 00:07:05,200 Speaker 1: full of misinformation, It was full of made up numbers. 113 00:07:05,720 --> 00:07:09,840 Speaker 1: But there was also so many moments during the speech 114 00:07:10,120 --> 00:07:12,880 Speaker 1: and it was this was done for a purpose. Donald 115 00:07:12,920 --> 00:07:16,280 Speaker 1: Trump was producing this speech like if it was a 116 00:07:16,360 --> 00:07:19,040 Speaker 1: TV show, like if it was a movie. To me, 117 00:07:19,400 --> 00:07:22,800 Speaker 1: it felt like I was watching one of those game 118 00:07:22,840 --> 00:07:26,520 Speaker 1: shows from the nineteen seventies. And from door one, let's 119 00:07:26,520 --> 00:07:29,040 Speaker 1: see who's coming out from door one, Let's see who's 120 00:07:29,080 --> 00:07:32,400 Speaker 1: coming out from door two, And the US hockey team 121 00:07:32,400 --> 00:07:37,360 Speaker 1: would pop out door three, and the Venezuelan former political 122 00:07:37,400 --> 00:07:42,120 Speaker 1: prisoner would pop out. Okay, contestant number four, you come 123 00:07:42,120 --> 00:07:46,160 Speaker 1: out now, and the pilot who was part of the 124 00:07:46,360 --> 00:07:52,160 Speaker 1: operation against Maduro would come out. It was highly produced. 125 00:07:52,200 --> 00:07:55,480 Speaker 1: Donald Trump gave out medals and awards. He was like 126 00:07:56,200 --> 00:07:59,680 Speaker 1: Oprah yesterday. And I'm not saying those people didn't deserve 127 00:08:00,240 --> 00:08:04,240 Speaker 1: the awards and the accolades and the recognition. All of 128 00:08:04,280 --> 00:08:09,440 Speaker 1: them did. But it felt very produced and staged and performative. 129 00:08:09,760 --> 00:08:12,000 Speaker 1: You'll get a medal, you'll get a medal of Freedom, 130 00:08:12,200 --> 00:08:14,600 Speaker 1: and you get a purple heart, and you get a 131 00:08:14,640 --> 00:08:19,000 Speaker 1: medal of legion. It was frankly ridiculous. Most of the time, 132 00:08:19,400 --> 00:08:24,280 Speaker 1: these medals are given in in serious ceremonies at the 133 00:08:24,280 --> 00:08:28,240 Speaker 1: White House East Room, and they are not part of 134 00:08:28,280 --> 00:08:32,000 Speaker 1: a performance put on during the State of the Union. 135 00:08:32,280 --> 00:08:33,880 Speaker 1: But you know what, I'm not even going to complain 136 00:08:33,920 --> 00:08:37,720 Speaker 1: about that, because remember the year he gave a Medal 137 00:08:37,760 --> 00:08:40,720 Speaker 1: of Freedom to Rush Limbaugh during the State of the Union. 138 00:08:41,080 --> 00:08:43,960 Speaker 1: At least the people he gave them to yesterday were 139 00:08:44,000 --> 00:08:56,000 Speaker 1: all very deserving of these maps. Now let's go into 140 00:08:56,480 --> 00:08:59,680 Speaker 1: the speech itself. If you missed it, let me just 141 00:08:59,720 --> 00:09:02,800 Speaker 1: catch you up on some of the many, many lies 142 00:09:03,360 --> 00:09:08,040 Speaker 1: the man told during this entire time. He said things 143 00:09:08,120 --> 00:09:11,839 Speaker 1: like gas prices are now below two thirty a gallon 144 00:09:11,880 --> 00:09:14,680 Speaker 1: in most states, and in some places they are under 145 00:09:14,720 --> 00:09:18,680 Speaker 1: two dollars one ninety nine. That's simply not true. He 146 00:09:18,760 --> 00:09:23,440 Speaker 1: said that tariffs were paid by foreign countries. People, that 147 00:09:23,600 --> 00:09:26,520 Speaker 1: is not true. We all know that these tariffs have 148 00:09:26,600 --> 00:09:32,000 Speaker 1: cost the average American family over thirteen hundred dollars last year. 149 00:09:32,440 --> 00:09:36,600 Speaker 1: We all know that it is mostly the companies importing 150 00:09:36,640 --> 00:09:40,319 Speaker 1: the goods that are paying those tariffs and then passing 151 00:09:40,360 --> 00:09:45,080 Speaker 1: the costs on to us. We the American consumer, have 152 00:09:45,240 --> 00:09:48,080 Speaker 1: been the ones paying his tariffs. When he says that 153 00:09:48,160 --> 00:09:51,679 Speaker 1: they are being paid by foreign countries, he is lying, 154 00:09:51,960 --> 00:09:54,160 Speaker 1: or he is confused. With Trump, I just never know, 155 00:09:54,760 --> 00:10:00,480 Speaker 1: he said. Oh, he talked about this tragic tragedy case 156 00:10:00,520 --> 00:10:04,880 Speaker 1: that happened in Charlotte, North Carolina, involving a Ukrainian woman 157 00:10:04,880 --> 00:10:09,400 Speaker 1: who had fled Ukraine. Her name is Irina Zarutska. And 158 00:10:10,160 --> 00:10:12,360 Speaker 1: she was remember this is the case of the woman 159 00:10:12,400 --> 00:10:16,920 Speaker 1: who was stabbed to death while writing public transportation in Charlotte. 160 00:10:17,240 --> 00:10:21,000 Speaker 1: And she said, the guy who's obviously a nut case 161 00:10:21,000 --> 00:10:23,840 Speaker 1: who had been in and out of prison. He said 162 00:10:23,880 --> 00:10:27,439 Speaker 1: he was an illegal immigrant who came in through Biden's 163 00:10:27,480 --> 00:10:31,720 Speaker 1: open borders. The man is a US citizen born in 164 00:10:31,880 --> 00:10:35,880 Speaker 1: North Carolina. I mean, these are the type of bold 165 00:10:36,000 --> 00:10:39,440 Speaker 1: face lies that Trump says over and over again. I 166 00:10:39,440 --> 00:10:42,240 Speaker 1: guess he thinks that people are just stupid. He thinks 167 00:10:42,280 --> 00:10:44,920 Speaker 1: people won't look him up. He doesn't care that he 168 00:10:44,960 --> 00:10:47,520 Speaker 1: will get fact checked. He just thinks that if he 169 00:10:47,720 --> 00:10:50,640 Speaker 1: says something, if he utters it, if he makes it up, 170 00:10:50,920 --> 00:10:53,559 Speaker 1: people will believe it. But I mean, at this point, 171 00:10:53,920 --> 00:10:56,520 Speaker 1: who does other than the base that is drinking the 172 00:10:56,600 --> 00:10:59,920 Speaker 1: kool aid, who believes the bullshit that comes out of 173 00:11:00,200 --> 00:11:04,000 Speaker 1: man's mouth. And you know, it was interesting because I 174 00:11:04,080 --> 00:11:08,280 Speaker 1: found myself not even being surprised. And I think part 175 00:11:08,320 --> 00:11:10,800 Speaker 1: of it is because I have heard these lies from him. 176 00:11:11,080 --> 00:11:14,280 Speaker 1: He has repeated them over and over again. Donald Trump 177 00:11:14,320 --> 00:11:17,719 Speaker 1: thinks that if he says things enough times, they will 178 00:11:17,760 --> 00:11:20,319 Speaker 1: become true, whether they are lies. He thinks he has 179 00:11:20,960 --> 00:11:24,199 Speaker 1: the power to turn things into truth just by repeating 180 00:11:24,240 --> 00:11:27,679 Speaker 1: the lies over and over again. He said that grocery 181 00:11:27,760 --> 00:11:31,160 Speaker 1: prices had declined. Have you all been to the grocery 182 00:11:31,200 --> 00:11:34,080 Speaker 1: store lately? That is a lie. He said that our 183 00:11:34,160 --> 00:11:38,520 Speaker 1: drug prices that we now pay the lowest price anywhere 184 00:11:38,559 --> 00:11:41,560 Speaker 1: in the world, That is a lie. He said no 185 00:11:41,679 --> 00:11:46,719 Speaker 1: other president had lower drug prices Joe Biden kept insulin 186 00:11:46,800 --> 00:11:49,319 Speaker 1: at thirty five dollars a month. Shall we forget that? 187 00:11:50,080 --> 00:11:52,480 Speaker 1: He said that our elections, that are our elections, That 188 00:11:52,679 --> 00:11:57,840 Speaker 1: cheating was rampant. Yet another lie. He said that twelve 189 00:11:57,960 --> 00:12:03,600 Speaker 1: thousand murderers had come in through open borders under Joe Biden. 190 00:12:04,280 --> 00:12:08,880 Speaker 1: That is a lie. That number is being made up. 191 00:12:09,320 --> 00:12:14,640 Speaker 1: Donald Trump just fabricates numbers and figures, pulls them out 192 00:12:14,679 --> 00:12:18,360 Speaker 1: of his ass and throws them out into the ether, 193 00:12:18,880 --> 00:12:21,840 Speaker 1: thinking that they will be true and that people will 194 00:12:21,880 --> 00:12:26,600 Speaker 1: believe him. And then he said, he said that Maduro, 195 00:12:26,720 --> 00:12:31,839 Speaker 1: that Venezuela had opened up its prisons and its insane asylum, 196 00:12:32,080 --> 00:12:36,640 Speaker 1: and millions of people had flooded into the United States. Oh, 197 00:12:36,800 --> 00:12:38,760 Speaker 1: the old smell. I don't even know what to say 198 00:12:38,840 --> 00:12:40,320 Speaker 1: about this. So let me tell you what I think 199 00:12:40,360 --> 00:12:42,440 Speaker 1: is happening on that one, because that's a lie that 200 00:12:42,480 --> 00:12:45,360 Speaker 1: he has said so many times and continues to say. 201 00:12:45,440 --> 00:12:47,760 Speaker 1: I think we need to we need to talk about 202 00:12:47,760 --> 00:12:51,280 Speaker 1: it a little bit more. Okay. So in nineteen eighty, 203 00:12:51,280 --> 00:12:53,480 Speaker 1: which is the year I came to this country, there 204 00:12:53,559 --> 00:12:57,200 Speaker 1: was something called the Marielle boat Lift, named after the 205 00:12:57,280 --> 00:13:00,960 Speaker 1: port of Marielle in Cuba, and that was a case 206 00:13:01,080 --> 00:13:04,760 Speaker 1: where well over one hundred thousand Cubans came to the 207 00:13:04,840 --> 00:13:08,520 Speaker 1: United States, mostly to Florida, mostly to Miami, between the 208 00:13:08,559 --> 00:13:13,120 Speaker 1: months of April and October of nineteen eighty. So Fidel 209 00:13:13,240 --> 00:13:16,920 Speaker 1: Castro said to the Cubans in exile, if you want 210 00:13:16,920 --> 00:13:19,480 Speaker 1: to come and pick up your family, you can. But 211 00:13:19,600 --> 00:13:23,000 Speaker 1: once the family got there, so there was a flotilla 212 00:13:23,160 --> 00:13:27,160 Speaker 1: of boats, boats of every size you can imagine, going 213 00:13:27,240 --> 00:13:32,640 Speaker 1: from Miami to Cuba, desperate families trying to get their 214 00:13:32,679 --> 00:13:36,839 Speaker 1: families out of Cuba. But Fidel said, okay, you can 215 00:13:36,880 --> 00:13:38,960 Speaker 1: take your family, but you got to take these people 216 00:13:38,960 --> 00:13:43,400 Speaker 1: as well. And Fidel in nineteen eighty opened up the 217 00:13:43,440 --> 00:13:47,319 Speaker 1: insane asylums and the prisons in Cuba and forced people 218 00:13:47,360 --> 00:13:50,240 Speaker 1: who were picking up their families from Cuba, the Cuban 219 00:13:50,240 --> 00:13:53,800 Speaker 1: Americans to take these folks from the prisons and insane 220 00:13:53,800 --> 00:13:57,280 Speaker 1: asylums with them if they wanted to take their families. 221 00:13:57,480 --> 00:14:02,480 Speaker 1: And so that meant that yes, thousands flooded into South Florida. 222 00:14:02,559 --> 00:14:05,680 Speaker 1: They were referred to as the Marielitos. One hundred and 223 00:14:05,720 --> 00:14:09,839 Speaker 1: twenty five thousand Mariolitos came in total. That included a 224 00:14:09,880 --> 00:14:12,560 Speaker 1: lot of people who were not criminals, who were not 225 00:14:12,960 --> 00:14:16,720 Speaker 1: insane from insane asylums. Donald Trump is taking this thing 226 00:14:17,480 --> 00:14:22,160 Speaker 1: that happened in Cuba in nineteen eighty, which he read 227 00:14:22,240 --> 00:14:25,600 Speaker 1: somewhere or somebody told him about, and he is conflating 228 00:14:25,640 --> 00:14:30,080 Speaker 1: it and transferring it to Venezuela in twenty twenty three, 229 00:14:30,200 --> 00:14:33,800 Speaker 1: twenty four to twenty five. You all, it is a lie. 230 00:14:34,040 --> 00:14:39,360 Speaker 1: There is zero evidence that Maduro ever did that. There 231 00:14:39,560 --> 00:14:42,320 Speaker 1: was no flotilla of people picking up This is a 232 00:14:42,360 --> 00:14:46,280 Speaker 1: completely different situation. But he is taking what happened in 233 00:14:46,360 --> 00:14:50,160 Speaker 1: nineteen eighty and pretending it happened under Bien It did not. 234 00:14:50,680 --> 00:14:56,280 Speaker 1: I mean, he's either insane, cuckoo, crazy estyloogau. In Spanish, 235 00:14:56,360 --> 00:14:59,920 Speaker 1: we have a word av la babo salles. He talks 236 00:15:00,200 --> 00:15:04,160 Speaker 1: bobo SaaS babolso is somebody who drools, and you know 237 00:15:04,240 --> 00:15:08,960 Speaker 1: the stuff they utter are usually stupid things. Well, this 238 00:15:09,040 --> 00:15:12,520 Speaker 1: is one of those stupid things. And on the Venezuela issue, 239 00:15:12,960 --> 00:15:16,880 Speaker 1: there is something I noticed yesterday. He gave all sorts 240 00:15:16,880 --> 00:15:22,840 Speaker 1: of props and compliments and ataboys to Daisy Rodriguez, who 241 00:15:22,960 --> 00:15:27,040 Speaker 1: is the vice president of Nicolas Maduro, with whom they 242 00:15:27,040 --> 00:15:31,160 Speaker 1: are now dealing and who is now the leader of Venezuela. 243 00:15:31,320 --> 00:15:33,720 Speaker 1: He said she was great, that she was doing a 244 00:15:33,760 --> 00:15:36,520 Speaker 1: great job, that it was you know that the relationship 245 00:15:36,560 --> 00:15:39,400 Speaker 1: is great. So you explained to me if he is 246 00:15:39,440 --> 00:15:45,480 Speaker 1: so offended by Maduro releasing people from insane asylums and prisons, 247 00:15:45,840 --> 00:15:48,680 Speaker 1: Daisy Rodriguez was his number two. She was part and 248 00:15:48,800 --> 00:15:51,880 Speaker 1: parcel of all of that. That didn't happen, but if 249 00:15:52,360 --> 00:15:54,800 Speaker 1: it had happened, she would have been part and parcel 250 00:15:54,840 --> 00:15:58,400 Speaker 1: of that. She was part and parcel of torturing people, 251 00:15:58,720 --> 00:16:04,560 Speaker 1: of jailing, dissa, of people dissidence, being killed and beat 252 00:16:05,000 --> 00:16:08,400 Speaker 1: and forced into exile. And that's the woman that he 253 00:16:08,480 --> 00:16:11,040 Speaker 1: gave all sorts of props to. So that's a little 254 00:16:11,080 --> 00:16:15,560 Speaker 1: bit about some of the highlights that I noticed from 255 00:16:15,680 --> 00:16:20,080 Speaker 1: yesterday's State of the Union. Listen, nothing is going to change. 256 00:16:20,280 --> 00:16:22,920 Speaker 1: He went into this with low poll numbers, and he's 257 00:16:22,920 --> 00:16:24,840 Speaker 1: going to come out of this with low poll numbers. 258 00:16:25,080 --> 00:16:27,920 Speaker 1: State of the Unions used to give people a bump. 259 00:16:27,960 --> 00:16:30,600 Speaker 1: There used to be a significant bump coming out of 260 00:16:30,640 --> 00:16:33,480 Speaker 1: the speech of the person had done, if the president 261 00:16:33,480 --> 00:16:35,200 Speaker 1: had done a good job. I don't think that's going 262 00:16:35,240 --> 00:16:37,880 Speaker 1: to happen here. We don't know the rating numbers yet, 263 00:16:38,040 --> 00:16:39,960 Speaker 1: but I suspect that when they come out, they are 264 00:16:39,960 --> 00:16:41,880 Speaker 1: going to be low because there's a lot of people 265 00:16:41,920 --> 00:16:46,000 Speaker 1: that decided to go rewatch heated rivalry, or go watch 266 00:16:46,080 --> 00:16:50,640 Speaker 1: Love Story, or rearrange their sock drawer instead of watching 267 00:16:51,000 --> 00:16:56,800 Speaker 1: this State of the Union. That's basically it. So today, okay, 268 00:16:56,960 --> 00:16:59,600 Speaker 1: State of the Union is over and things go back 269 00:16:59,640 --> 00:17:02,800 Speaker 1: to be exactly like they were the day before. Nothing's 270 00:17:02,840 --> 00:17:05,600 Speaker 1: going to change unless we take this into our own 271 00:17:05,600 --> 00:17:07,919 Speaker 1: hands and we make a change. So I want to 272 00:17:07,960 --> 00:17:10,919 Speaker 1: remind everyone that if you want there to be a change, 273 00:17:10,920 --> 00:17:13,200 Speaker 1: if you want there to be pushback, if you want 274 00:17:13,240 --> 00:17:16,040 Speaker 1: there to be oversight. We are less than two hundred 275 00:17:16,080 --> 00:17:19,840 Speaker 1: and fifty days from the mid term elections, get yourself registered, 276 00:17:19,920 --> 00:17:23,280 Speaker 1: get yourself engaged, and get yourself ready to vote. Bleep 277 00:17:23,440 --> 00:17:26,520 Speaker 1: with Anna Navarro is a high Finite media group production 278 00:17:26,640 --> 00:17:30,880 Speaker 1: in partnership with Iheart's Michael Duda podcast network. For more 279 00:17:30,920 --> 00:17:34,800 Speaker 1: of your favorite shows, visit the iHeartRadio app, Apple Podcasts, 280 00:17:34,880 --> 00:17:36,600 Speaker 1: or wherever you get your podcasts.