1 00:00:00,320 --> 00:00:03,119 Speaker 1: Welcome in his verdict with Ted Cruz a week in Review, 2 00:00:03,200 --> 00:00:05,240 Speaker 1: Ben Ferguson with you, and here are the big stories 3 00:00:05,280 --> 00:00:07,560 Speaker 1: that you may have missed that we talked about this week. 4 00:00:07,640 --> 00:00:09,879 Speaker 2: First up, NPR. 5 00:00:09,720 --> 00:00:13,320 Speaker 1: Was in front of Congress having to answer questions about 6 00:00:13,360 --> 00:00:16,640 Speaker 1: all the government funds that are going to their organization. 7 00:00:17,120 --> 00:00:19,119 Speaker 1: You're going to be shocked what the CEO had to 8 00:00:19,120 --> 00:00:23,040 Speaker 1: say and how out of touch they were with reality. Also, 9 00:00:23,600 --> 00:00:26,560 Speaker 1: you had a filibuster that happened this week. But what 10 00:00:26,680 --> 00:00:29,440 Speaker 1: was it over, Well, that's the funny part. We'll give 11 00:00:29,440 --> 00:00:32,360 Speaker 1: you the details of one senator that decided to stay 12 00:00:32,440 --> 00:00:36,120 Speaker 1: up all day and all night to philipbuster your vote. 13 00:00:36,520 --> 00:00:39,800 Speaker 1: And finally, Senator Cruz takes you behind the scenes so 14 00:00:39,880 --> 00:00:42,959 Speaker 1: you understand exactly what's going on with his colleagues when 15 00:00:43,000 --> 00:00:46,640 Speaker 1: it comes to the tariff situation. It's the weekend review 16 00:00:46,760 --> 00:00:50,640 Speaker 1: and it starts right now, which brings us to another 17 00:00:50,720 --> 00:00:53,559 Speaker 1: aspect of this and that was what happened in Congress 18 00:00:53,640 --> 00:00:59,200 Speaker 1: last week with MPR CEO and PBSS CEO there in 19 00:00:59,280 --> 00:01:03,000 Speaker 1: front of Congress having to deal with what DOGE is doing, 20 00:01:03,200 --> 00:01:07,640 Speaker 1: which is cutting waste, fraud and abuse, and it did 21 00:01:07,640 --> 00:01:10,880 Speaker 1: not go very well for those CEOs. It reminded me 22 00:01:10,920 --> 00:01:15,760 Speaker 1: an awful lot Cenator of when the presidents of the 23 00:01:15,800 --> 00:01:18,880 Speaker 1: Ivy League schools had to come and answer questions about 24 00:01:18,880 --> 00:01:23,440 Speaker 1: anti Semitism on college campuses after the attacks on Israel, 25 00:01:23,840 --> 00:01:26,880 Speaker 1: and people were just in shock how radical they were 26 00:01:26,920 --> 00:01:28,280 Speaker 1: and how they were not stopping it. 27 00:01:28,760 --> 00:01:30,640 Speaker 2: That was very reminiscent of that. 28 00:01:30,720 --> 00:01:35,240 Speaker 1: With NPR CEO very arrogant, pbsco very arrogant, like, this 29 00:01:35,319 --> 00:01:37,119 Speaker 1: is what we do. We take your money, we put 30 00:01:37,160 --> 00:01:40,760 Speaker 1: out propaganda, so sue us. That's what we've been doing forever. 31 00:01:41,720 --> 00:01:47,080 Speaker 3: Well, and Catherine Maher who's the CEO of NPR, is arrogant, 32 00:01:47,319 --> 00:01:52,160 Speaker 3: drippingly arrogant. She is hard left, and it was exactly 33 00:01:52,320 --> 00:01:55,280 Speaker 3: like you're right. The president of Harvard, the president of 34 00:01:55,320 --> 00:01:58,400 Speaker 3: Penn both of them lost their jobs over their arrogant, 35 00:01:58,400 --> 00:02:02,720 Speaker 3: out of touch testimony before the House. Where where she 36 00:02:03,080 --> 00:02:05,880 Speaker 3: is look she she's a member of the Council on 37 00:02:05,920 --> 00:02:08,880 Speaker 3: Foreign Relations. She worked for UNISEF, She worked for the 38 00:02:08,960 --> 00:02:11,799 Speaker 3: National Democratic Institute, She worked for the World Bank and 39 00:02:11,880 --> 00:02:16,280 Speaker 3: Access Now. She worked for Wikimedia Wikimedia Foundation. She joined 40 00:02:16,320 --> 00:02:19,200 Speaker 3: the Atlantic Council. She was part of the Department of States, 41 00:02:19,600 --> 00:02:23,600 Speaker 3: Foreign Affairs Policy Board. She she is a hard leftist. 42 00:02:23,919 --> 00:02:26,920 Speaker 3: But look, don't take my word for it. Listen to 43 00:02:26,960 --> 00:02:28,640 Speaker 3: it out of out of, out of her own mouth. 44 00:02:28,639 --> 00:02:32,200 Speaker 3: And I want you to listen, in particular for this 45 00:02:32,400 --> 00:02:36,440 Speaker 3: back and forth with Brandon gil Brandon Gill is a 46 00:02:36,560 --> 00:02:39,560 Speaker 3: freshman House member from Texas. He's a good friend. I 47 00:02:40,200 --> 00:02:43,639 Speaker 3: campaigned hard for Brandon. I endorsed him in the primary. 48 00:02:43,639 --> 00:02:46,040 Speaker 3: Brandon is a rising star in the House. And and 49 00:02:46,200 --> 00:02:48,679 Speaker 3: just listen to this back and forth as he questions her, 50 00:02:49,080 --> 00:02:51,720 Speaker 3: and and and and hangs her on her own petard 51 00:02:51,840 --> 00:02:53,359 Speaker 3: with her own words. Give a listen. 52 00:02:53,680 --> 00:02:56,679 Speaker 4: Do you believe that America is addicted to white supremacy? 53 00:02:57,800 --> 00:02:59,360 Speaker 5: I believe that I tweeted that. 54 00:02:59,440 --> 00:03:01,400 Speaker 6: And I, as I've said earlier, I believe much of 55 00:03:01,440 --> 00:03:04,080 Speaker 6: my thinking has evolved over the last half decade. 56 00:03:04,320 --> 00:03:06,480 Speaker 2: It is okay, stop stop, stop stops. 57 00:03:07,000 --> 00:03:09,640 Speaker 3: I want you to notice something she says there, much 58 00:03:09,680 --> 00:03:14,839 Speaker 3: of my thinking has evolved over the last half decade. Ben, 59 00:03:14,880 --> 00:03:15,880 Speaker 3: what's a half decade? 60 00:03:16,440 --> 00:03:17,120 Speaker 2: Five years? 61 00:03:17,280 --> 00:03:19,760 Speaker 3: That would be five years. Doesn't that half decades sound long? 62 00:03:20,080 --> 00:03:22,760 Speaker 3: I believe much of my thinking has evolved over the 63 00:03:22,800 --> 00:03:26,000 Speaker 3: last half decade. Oh crap, what I said five years ago. 64 00:03:26,040 --> 00:03:28,120 Speaker 3: Oh no, that's a real problem. Run away, run away, 65 00:03:28,120 --> 00:03:30,480 Speaker 3: all right, go back to what he's playing with has evolved. 66 00:03:30,480 --> 00:03:33,600 Speaker 3: I just like that that that comment. Her idiocy only 67 00:03:33,639 --> 00:03:34,480 Speaker 3: gets me laugh. 68 00:03:34,600 --> 00:03:36,000 Speaker 2: As soon as I heard, I was like, this is 69 00:03:36,080 --> 00:03:38,480 Speaker 2: not going well. Keep listening, it gets evolved. 70 00:03:38,640 --> 00:03:39,640 Speaker 7: Why did you tweet that? 71 00:03:40,080 --> 00:03:42,840 Speaker 6: I don't recall the exact context, sir, so I wouldn't 72 00:03:42,840 --> 00:03:43,680 Speaker 6: be able to say. 73 00:03:43,800 --> 00:03:47,280 Speaker 4: Okay, do you believe that America believes in black plunder 74 00:03:47,360 --> 00:03:48,480 Speaker 4: and white democracy? 75 00:03:49,040 --> 00:03:52,960 Speaker 5: I don't believe that, sir. You tweet it. 76 00:03:52,960 --> 00:03:55,400 Speaker 4: It's reference to a book you were reading at the time, 77 00:03:55,440 --> 00:03:57,640 Speaker 4: apparently The Case for Reparations. 78 00:03:57,960 --> 00:03:59,480 Speaker 5: I don't think I've ever read that book, sir. 79 00:04:00,160 --> 00:04:01,280 Speaker 7: You tweeted about it. 80 00:04:02,240 --> 00:04:04,640 Speaker 4: You said you took a day off to fully read 81 00:04:04,680 --> 00:04:06,200 Speaker 4: The Case for Reparations. 82 00:04:06,200 --> 00:04:08,560 Speaker 7: You put that on Twitter in January of twenty twenty. 83 00:04:09,400 --> 00:04:11,800 Speaker 5: I apologies. I don't recall that I did. I don't okay. 84 00:04:12,200 --> 00:04:15,240 Speaker 6: I'd no doubt that your tweet there is correct, but 85 00:04:15,320 --> 00:04:15,920 Speaker 6: I don't recall. 86 00:04:16,279 --> 00:04:19,599 Speaker 4: Okay, do you believe that white people and inherently feel 87 00:04:19,640 --> 00:04:20,960 Speaker 4: superior to other races? 88 00:04:21,120 --> 00:04:21,479 Speaker 5: I do not. 89 00:04:22,680 --> 00:04:25,560 Speaker 4: You tweeted something to that effect. You said I grew 90 00:04:25,640 --> 00:04:28,640 Speaker 4: up feeling superior. Ha, how wide of me. Why did 91 00:04:28,720 --> 00:04:29,279 Speaker 4: you tweet that? 92 00:04:30,200 --> 00:04:32,880 Speaker 6: I think I was probably reflecting on what it was 93 00:04:33,000 --> 00:04:35,960 Speaker 6: to be to grow up in an environment where I 94 00:04:35,960 --> 00:04:37,000 Speaker 6: had lots of advantages. 95 00:04:37,320 --> 00:04:40,040 Speaker 4: It sounds like you're saying that white people feel superior. 96 00:04:40,720 --> 00:04:43,279 Speaker 6: I don't believe that anybody feels that way, sir. I 97 00:04:43,480 --> 00:04:45,000 Speaker 6: was just reflecting on my own experience. 98 00:04:45,120 --> 00:04:47,200 Speaker 7: Do you think the white people should pay reparations? 99 00:04:47,520 --> 00:04:48,840 Speaker 5: I have never said that, sir. 100 00:04:49,680 --> 00:04:50,279 Speaker 7: Yes you did. 101 00:04:50,560 --> 00:04:53,680 Speaker 4: You said it in January of twenty twenty. You tweeted, yes, 102 00:04:53,760 --> 00:04:56,680 Speaker 4: the North, yes, all of us, yes, America, yes, our 103 00:04:56,720 --> 00:05:00,719 Speaker 4: original collective sin and unpaid debt. Yes, reparation, yes on 104 00:05:00,800 --> 00:05:01,240 Speaker 4: this day. 105 00:05:01,480 --> 00:05:04,200 Speaker 6: I don't believe that was a reference to fiscal referations, sir. 106 00:05:04,440 --> 00:05:06,400 Speaker 7: What kind of reparations was it a reference to. 107 00:05:06,880 --> 00:05:08,440 Speaker 6: I think it was just a reference to the idea 108 00:05:08,440 --> 00:05:10,920 Speaker 6: that we all owe much to the people who came 109 00:05:10,960 --> 00:05:12,080 Speaker 6: before us. 110 00:05:11,839 --> 00:05:17,000 Speaker 4: That's a bizarre way to frame what you tweeted. Okay, 111 00:05:17,080 --> 00:05:21,400 Speaker 4: how many How much reparations have you personally paid, sir? 112 00:05:21,960 --> 00:05:24,640 Speaker 6: I don't believe that I've ever paid reparations. 113 00:05:24,920 --> 00:05:26,360 Speaker 7: Okay, just for everybody else. 114 00:05:26,839 --> 00:05:28,440 Speaker 5: I'm not asking anyone seems to. 115 00:05:28,480 --> 00:05:31,240 Speaker 4: Be what you're suggesting. Do you believe that looting is 116 00:05:31,240 --> 00:05:31,920 Speaker 4: morally wrong? 117 00:05:32,080 --> 00:05:34,800 Speaker 6: I believe that looting is illegal, and I refer to 118 00:05:34,839 --> 00:05:35,839 Speaker 6: it as counterproductive. 119 00:05:35,839 --> 00:05:36,880 Speaker 5: I think it should be prosecuted. 120 00:05:36,920 --> 00:05:38,479 Speaker 7: Do you believe it's morally wrong though? 121 00:05:38,680 --> 00:05:39,120 Speaker 5: Of course? 122 00:05:39,440 --> 00:05:41,360 Speaker 4: Of course, then why did you refer to it as 123 00:05:41,400 --> 00:05:45,719 Speaker 4: counter productive? Very different, very different way to describe it. 124 00:05:45,720 --> 00:05:48,800 Speaker 6: It is both morally wrong and counterproductive as well as. 125 00:05:48,640 --> 00:05:51,440 Speaker 4: Being be tweeted, it's hard to be mad about protests. 126 00:05:51,520 --> 00:05:55,840 Speaker 4: In reference to the BLM protests not prioritizing the private 127 00:05:55,880 --> 00:05:59,960 Speaker 4: property of a system of oppression, you didn't condemn the lout. 128 00:06:00,279 --> 00:06:05,200 Speaker 4: You said that it was counter productive. NPR also promoted 129 00:06:05,240 --> 00:06:07,560 Speaker 4: a book called in Defensive Looting. Do you think that 130 00:06:07,560 --> 00:06:09,520 Speaker 4: that's an appropriate use of taxpayer dollars? 131 00:06:10,200 --> 00:06:12,919 Speaker 6: I'm unfamiliar with that book, sir, and I don't believe 132 00:06:12,920 --> 00:06:15,000 Speaker 6: that was at my tweeted that you read that book, 133 00:06:15,120 --> 00:06:17,679 Speaker 6: But I don't believe that I did read that book. 134 00:06:17,760 --> 00:06:21,000 Speaker 1: It's amazing she tweeted that she read the book. She's like, 135 00:06:21,040 --> 00:06:23,440 Speaker 1: I don't believe that I ever read that book. So 136 00:06:23,680 --> 00:06:26,680 Speaker 1: you're either lying now or you're lying. What a half 137 00:06:26,839 --> 00:06:28,480 Speaker 1: half a decade ago is she likes. 138 00:06:28,320 --> 00:06:33,000 Speaker 3: To describe it, right, Senator, Look, that is a crushingly 139 00:06:33,200 --> 00:06:40,120 Speaker 3: effective cross examination. And if you look at at she 140 00:06:40,680 --> 00:06:43,920 Speaker 3: is running away from everything she's ever said, everything she's 141 00:06:43,960 --> 00:06:47,720 Speaker 3: ever believed, because it is indefensible when she says. You know, 142 00:06:48,560 --> 00:06:51,080 Speaker 3: she claimed on Twitter she took an entire day off 143 00:06:51,120 --> 00:06:53,120 Speaker 3: to read a book on reparations. It was so important 144 00:06:53,120 --> 00:06:54,760 Speaker 3: that she devoted a day of her and now she 145 00:06:54,800 --> 00:06:58,200 Speaker 3: has no recollection. I'm sorry, I you know this. This 146 00:06:58,240 --> 00:07:00,520 Speaker 3: will be before you were watching TV, but there was 147 00:07:00,560 --> 00:07:04,200 Speaker 3: an old series. You ever watch Hogan's Heroes? Yeah, gosh, yes, okay, 148 00:07:04,240 --> 00:07:07,840 Speaker 3: Well do you remember Sergeant Schultz. Yes, Sergeant Schultz would 149 00:07:07,839 --> 00:07:11,320 Speaker 3: say I see nothing, I hear nothing. That is that's 150 00:07:11,400 --> 00:07:14,840 Speaker 3: that is Catherine Marr. She sees nothing, she hears nothing. 151 00:07:15,520 --> 00:07:20,440 Speaker 3: Uh and and yet this is someone charged with spending 152 00:07:20,640 --> 00:07:24,120 Speaker 3: millions of taxpayer dollars running what is a left wing 153 00:07:24,160 --> 00:07:29,840 Speaker 3: propaganda network. You know her statement, I've never called for reparations. 154 00:07:30,400 --> 00:07:32,560 Speaker 3: I gotta say, Brandon, I think does a fabulous shop. 155 00:07:32,600 --> 00:07:33,360 Speaker 2: Well yes you did. 156 00:07:33,440 --> 00:07:36,200 Speaker 3: Let me read you the tweet and she says reparations yes, 157 00:07:36,280 --> 00:07:39,040 Speaker 3: oh oh well, well other than when I called for reparations. 158 00:07:39,080 --> 00:07:40,440 Speaker 3: But I haven't called for it other than when I've 159 00:07:40,440 --> 00:07:43,160 Speaker 3: called for it. But but but no, no, it's not 160 00:07:43,240 --> 00:07:46,520 Speaker 3: fiscal reparations. It's it's I mean, I mean, I mean 161 00:07:46,600 --> 00:07:49,040 Speaker 3: repairing the tires on their cars. That's that, those are 162 00:07:49,040 --> 00:07:49,760 Speaker 3: the reparations. 163 00:07:49,760 --> 00:07:51,920 Speaker 2: I mean. 164 00:07:52,280 --> 00:07:58,000 Speaker 3: She has no answer because her answer is she desperately 165 00:07:58,040 --> 00:08:00,560 Speaker 3: wants to run away from everything she is ever said 166 00:08:00,680 --> 00:08:05,640 Speaker 3: or done. But but let me actually, let's actually go 167 00:08:05,680 --> 00:08:08,240 Speaker 3: to something else that that that that she said and did, 168 00:08:08,920 --> 00:08:12,480 Speaker 3: which is what do you think she has cited as 169 00:08:12,560 --> 00:08:14,000 Speaker 3: the number one challenge? 170 00:08:14,640 --> 00:08:15,160 Speaker 7: Uh? 171 00:08:15,400 --> 00:08:19,960 Speaker 3: That it that that is facing uh that that is 172 00:08:19,960 --> 00:08:27,080 Speaker 3: facing journalism right now, knowing this woman have no idea. Okay, 173 00:08:27,400 --> 00:08:29,640 Speaker 3: here here is a quote from her at a panel 174 00:08:29,680 --> 00:08:31,920 Speaker 3: at the Atlantic Council Research Lab. 175 00:08:32,040 --> 00:08:32,400 Speaker 2: Quote. 176 00:08:32,840 --> 00:08:35,640 Speaker 3: The number one challenge that we see here is, of course, 177 00:08:36,360 --> 00:08:39,160 Speaker 3: the First Amendment in the United States. 178 00:08:39,240 --> 00:08:44,440 Speaker 1: It's it's so like, it's so on Brandford, that's almost unbelievable. Though, 179 00:08:44,559 --> 00:08:47,520 Speaker 1: like a woman who says that she believes in in 180 00:08:47,559 --> 00:08:51,600 Speaker 1: the public and radio and free speed says that's the 181 00:08:51,679 --> 00:08:55,240 Speaker 1: real problem is is the First Amendment? In fact, Sedor 182 00:08:55,280 --> 00:08:58,320 Speaker 1: here's the NPR CEO in her own words, saying exactly 183 00:08:58,400 --> 00:08:59,360 Speaker 1: that the. 184 00:08:59,400 --> 00:09:02,720 Speaker 8: Number one challenge here that we see is, of course, 185 00:09:02,760 --> 00:09:05,760 Speaker 8: the First Amendment in the United States is a fairly 186 00:09:05,880 --> 00:09:11,280 Speaker 8: robust protection of rights, and that is a protection of 187 00:09:11,320 --> 00:09:13,160 Speaker 8: rights both for platforms, which I actually think is very 188 00:09:13,160 --> 00:09:15,440 Speaker 8: important that platforms have those rights to be able to 189 00:09:15,480 --> 00:09:17,959 Speaker 8: regulate what kind of content they want on their sites. 190 00:09:18,360 --> 00:09:20,200 Speaker 8: But it also means that it is a little bit 191 00:09:20,240 --> 00:09:24,080 Speaker 8: trick really addressed some of the real challenges of where 192 00:09:24,200 --> 00:09:26,960 Speaker 8: does bad information come from and sort of the influence 193 00:09:27,000 --> 00:09:29,280 Speaker 8: peddlers who have made a real market economy around it. 194 00:09:29,600 --> 00:09:32,040 Speaker 2: I mean, you listen to her, and it's just amazing. 195 00:09:32,800 --> 00:09:35,280 Speaker 1: If we could just do what we want and get 196 00:09:35,360 --> 00:09:38,680 Speaker 1: rid of everything we don't want and silence anybody that 197 00:09:38,720 --> 00:09:42,000 Speaker 1: says the thing that is disagreeing with us, and everything 198 00:09:42,040 --> 00:09:45,559 Speaker 1: would be fine in media and with our government, right, 199 00:09:45,559 --> 00:09:48,600 Speaker 1: we could just control everybody and shut everybody down. 200 00:09:48,640 --> 00:09:51,320 Speaker 2: We don't like that, is the NPR CEO saying it. 201 00:09:51,960 --> 00:09:55,040 Speaker 3: Look, the left believes in censorship, that they don't believe 202 00:09:55,080 --> 00:09:57,800 Speaker 3: in journalism, they don't believe in media, they believe in propaganda. 203 00:09:58,200 --> 00:10:01,120 Speaker 3: And you and I on this podcast covered last year 204 00:10:02,600 --> 00:10:05,480 Speaker 3: a story that was written in the Free Press by 205 00:10:05,520 --> 00:10:08,440 Speaker 3: Yuri Berliner, and it was in April of twenty four 206 00:10:08,920 --> 00:10:11,800 Speaker 3: and it was entitled I've been at NPR for twenty 207 00:10:11,840 --> 00:10:14,360 Speaker 3: five years. Here's how we lost America's trust. And I 208 00:10:14,440 --> 00:10:15,920 Speaker 3: just want to read the beginning of it again because 209 00:10:16,120 --> 00:10:17,960 Speaker 3: we did a good chunk of a podcast just on 210 00:10:18,000 --> 00:10:21,840 Speaker 3: this story. But it really sets up the absolute disaster 211 00:10:21,960 --> 00:10:26,280 Speaker 3: that is NPR today. How Uri Billinner began. You know 212 00:10:26,360 --> 00:10:30,200 Speaker 3: the stereotype of the NPR lister, an ev driving, wordle playing, 213 00:10:30,280 --> 00:10:34,120 Speaker 3: tote bag carrying, coastal elite. It doesn't precisely describe me, 214 00:10:34,200 --> 00:10:37,600 Speaker 3: but it's not far off. I'm Sarah Lawrence, educated, was 215 00:10:37,679 --> 00:10:40,800 Speaker 3: raised by a lesbian peace activist mother. I drive a 216 00:10:40,800 --> 00:10:44,320 Speaker 3: super room and Spotify says my listing habits are most 217 00:10:44,360 --> 00:10:48,520 Speaker 3: similar to people in Berkeley. I fit the NPR mold. 218 00:10:48,559 --> 00:10:50,559 Speaker 3: I'll cop to that. So when I got a job 219 00:10:50,600 --> 00:10:52,600 Speaker 3: here twenty five years ago, I never looked back. As 220 00:10:52,600 --> 00:10:54,800 Speaker 3: a senior editor on the business desk, where news is 221 00:10:54,800 --> 00:10:58,360 Speaker 3: always breaking, we've covered up peebles in the workplace, supermarket prices, 222 00:10:58,360 --> 00:11:01,600 Speaker 3: social media, and AI. It's true NPR always had a 223 00:11:01,600 --> 00:11:04,240 Speaker 3: liberal bent, but during most of my tenure here, an 224 00:11:04,280 --> 00:11:08,200 Speaker 3: open minded curious culture prevailed. We were nerdy, not knee 225 00:11:08,240 --> 00:11:13,679 Speaker 3: jerk activists or scolding. In recent years, however, that has changed. Today, 226 00:11:13,800 --> 00:11:16,440 Speaker 3: those who listen to NPR or read its coverage online 227 00:11:16,760 --> 00:11:21,160 Speaker 3: find something different the distilled worldview of a very small 228 00:11:21,200 --> 00:11:24,920 Speaker 3: segment of the US population. If you are a conservative, 229 00:11:25,280 --> 00:11:28,800 Speaker 3: you will read this and say, duh, it's always been 230 00:11:28,840 --> 00:11:30,480 Speaker 3: this way, but it hasn't. 231 00:11:31,000 --> 00:11:31,560 Speaker 2: For decades. 232 00:11:31,600 --> 00:11:34,040 Speaker 3: Since its founding in nineteen seventy, a wide swath of 233 00:11:34,080 --> 00:11:38,320 Speaker 3: America turned into NPR for reliable journalism and gorgeous audio 234 00:11:38,320 --> 00:11:41,760 Speaker 3: pieces with birds singing in the Amazon. Millions came to 235 00:11:41,840 --> 00:11:44,840 Speaker 3: us for conversations that exposed us to voices around the country, 236 00:11:44,840 --> 00:11:48,880 Speaker 3: in the world radically different from our own, engaging precisely 237 00:11:48,960 --> 00:11:52,880 Speaker 3: because they were unguarded and unpredictable. No image generated more 238 00:11:52,920 --> 00:11:56,240 Speaker 3: pride within NPR than the farmer listening to Morning Edition 239 00:11:56,520 --> 00:12:00,600 Speaker 3: from his or her tractor at sunrise back in twenty eleven. 240 00:12:00,720 --> 00:12:04,000 Speaker 3: Although NPR's audience is tilted a bit to the left, 241 00:12:04,559 --> 00:12:08,280 Speaker 3: it still bore a resemblance to America at large. Twenty 242 00:12:08,320 --> 00:12:11,559 Speaker 3: six percent of listeners described themselves as conservative, twenty three 243 00:12:11,600 --> 00:12:14,520 Speaker 3: percent as middle of the road, and thirty seven percent 244 00:12:14,600 --> 00:12:18,439 Speaker 3: as liberal. By twenty twenty three, the picture was completely different. 245 00:12:19,000 --> 00:12:23,240 Speaker 3: Only eleven percent described themselves as very or somewhat conservative, 246 00:12:23,320 --> 00:12:26,160 Speaker 3: twenty one percent as middle of the road, and sixty 247 00:12:26,160 --> 00:12:29,280 Speaker 3: seven percent of listeners said they were very or somewhat liberal. 248 00:12:29,720 --> 00:12:33,000 Speaker 3: We weren't just losing conservatives, we were also losing moderates 249 00:12:33,040 --> 00:12:37,600 Speaker 3: and traditional liberals. An open minded spirit no longer exists 250 00:12:37,600 --> 00:12:41,920 Speaker 3: within NPR, and now, predictably, we don't have an audience 251 00:12:41,960 --> 00:12:43,480 Speaker 3: that reflects America. 252 00:12:43,600 --> 00:12:46,040 Speaker 1: Now, if you want to hear the rest of this conversation, 253 00:12:46,240 --> 00:12:48,559 Speaker 1: you can go back and listen to the full podcast 254 00:12:48,679 --> 00:12:53,480 Speaker 1: from earlier this week. Now onto story number two. All right, Senator, 255 00:12:53,600 --> 00:12:56,839 Speaker 1: so let's move to another very interesting moment. One of 256 00:12:56,880 --> 00:13:00,040 Speaker 1: your colleagues in the Senate decided he was going to 257 00:12:59,880 --> 00:13:04,840 Speaker 1: take away your record on a philibuster. You guys were 258 00:13:04,960 --> 00:13:07,920 Speaker 1: very different and why you were philibustering. But he did 259 00:13:07,960 --> 00:13:10,920 Speaker 1: beat your record today, and you even posted something that 260 00:13:11,080 --> 00:13:12,839 Speaker 1: was hilarious online as well. 261 00:13:13,520 --> 00:13:13,720 Speaker 2: Well. 262 00:13:13,800 --> 00:13:17,040 Speaker 3: Corey Booker, Democrat from New Jersey, has now set the 263 00:13:17,080 --> 00:13:20,640 Speaker 3: record for the longest speech in history on the Senate floor, 264 00:13:20,679 --> 00:13:24,199 Speaker 3: and he spoke for twenty five hours and four minutes. 265 00:13:24,320 --> 00:13:25,520 Speaker 7: And so it was. 266 00:13:26,679 --> 00:13:31,840 Speaker 3: It was incredibly long. It surpassed the record had been 267 00:13:32,040 --> 00:13:36,760 Speaker 3: held by strom Thurman, who spoke for twenty four hours 268 00:13:36,760 --> 00:13:40,120 Speaker 3: and eighteen minutes in nineteen fifty seven. And he was 269 00:13:41,080 --> 00:13:44,079 Speaker 3: he was philibustering strom Thurman was philibustering the nineteen fifty 270 00:13:44,080 --> 00:13:47,240 Speaker 3: seven Civil Rights Act. And that that had been been 271 00:13:47,240 --> 00:13:51,080 Speaker 3: the record until until last night, when when Corey Booker 272 00:13:51,160 --> 00:13:57,160 Speaker 3: broke it. Now fourth all time, it is yours. 273 00:13:57,160 --> 00:13:57,520 Speaker 7: Truly. 274 00:13:57,600 --> 00:14:01,320 Speaker 3: I used to be third all time, but but Corey 275 00:14:01,440 --> 00:14:05,800 Speaker 3: knocked me down. And and so so my record in 276 00:14:06,360 --> 00:14:08,920 Speaker 3: twenty thirteen, I spoke on the Senate floor for twenty 277 00:14:08,960 --> 00:14:13,319 Speaker 3: one hours and nineteen minutes. Uh and and so Corey, 278 00:14:13,400 --> 00:14:15,160 Speaker 3: Corey just beat me. I will I will say I 279 00:14:15,960 --> 00:14:21,200 Speaker 3: tweeted out right before he broke my record. And so 280 00:14:21,320 --> 00:14:24,560 Speaker 3: I took to Twitter and tweeted out, as Corey Booker 281 00:14:24,600 --> 00:14:29,320 Speaker 3: approaches my twenty one hour filibuster record, I'm contemplating pulling 282 00:14:29,320 --> 00:14:32,600 Speaker 3: the fire alarm hat tip Jamal Bowman, and I sent 283 00:14:32,640 --> 00:14:35,760 Speaker 3: out a picture of Jamal and but Bowman, the Democrat congressman, 284 00:14:35,800 --> 00:14:39,080 Speaker 3: pulling the fire alarm in the Capitol to avoid a vote. 285 00:14:39,080 --> 00:14:41,920 Speaker 3: And and and I will say that that that that 286 00:14:41,960 --> 00:14:44,880 Speaker 3: tweet went viral, and in fact, Corey ended up at 287 00:14:44,920 --> 00:14:48,600 Speaker 3: the end of his twenty five hour filibuster reading that 288 00:14:48,640 --> 00:14:55,800 Speaker 3: tweet on the Senate floor, which which was which I 289 00:14:55,880 --> 00:14:57,840 Speaker 3: enjoyed it. I actually like Corey, and he and I 290 00:14:57,880 --> 00:14:59,440 Speaker 3: are friends, and so I'm glad he read it, and 291 00:14:59,600 --> 00:15:05,000 Speaker 3: I will. In my twenty thirteen filibuster, I read a 292 00:15:05,080 --> 00:15:07,600 Speaker 3: number of tweets on the Senate floor, and I believe 293 00:15:07,800 --> 00:15:11,440 Speaker 3: that was the first time in history a tweet had 294 00:15:11,440 --> 00:15:13,160 Speaker 3: ever been read on the Senate floor, and I read 295 00:15:13,160 --> 00:15:17,640 Speaker 3: a whole bunch of them. Now, there is a significant 296 00:15:17,680 --> 00:15:22,200 Speaker 3: difference between what I was filibustering over and what Corey 297 00:15:22,200 --> 00:15:26,920 Speaker 3: Booker was philibustering over. What I was filibustering over was Obamacare, 298 00:15:27,640 --> 00:15:30,160 Speaker 3: and I was doing so because it was right what 299 00:15:30,280 --> 00:15:34,040 Speaker 3: Obamacare was going into effect, and I was trying to 300 00:15:34,040 --> 00:15:36,880 Speaker 3: stop it from going into effect because the American people 301 00:15:37,160 --> 00:15:40,560 Speaker 3: it was having the effect of driving up premiums dramatically 302 00:15:40,600 --> 00:15:45,000 Speaker 3: reducing choices. Barack Obama famously said, if you like your doctor, 303 00:15:45,000 --> 00:15:47,720 Speaker 3: you can keep your doctor, and millions of Americans discovered 304 00:15:47,720 --> 00:15:48,480 Speaker 3: that was not the case. 305 00:15:48,520 --> 00:15:49,160 Speaker 2: That was a lie. 306 00:15:49,240 --> 00:15:53,200 Speaker 3: In fact, PolitiFact named Barack Obama's if you like your doctor, 307 00:15:53,240 --> 00:15:55,480 Speaker 3: you can keep your doctor the lie of the year, 308 00:15:56,120 --> 00:15:58,560 Speaker 3: and for them to admit a Democrat is lying is 309 00:15:58,600 --> 00:16:02,000 Speaker 3: really quite remarkable because effect lies for a living. And 310 00:16:02,440 --> 00:16:07,520 Speaker 3: so that filibuster, when I did it in twenty thirteen, 311 00:16:07,560 --> 00:16:11,120 Speaker 3: I was a brand new baby freshman, and it was 312 00:16:11,480 --> 00:16:15,240 Speaker 3: the theme of the filibuster was make DC listen. And 313 00:16:15,960 --> 00:16:21,280 Speaker 3: I will tell you it had. It had a significant effect, 314 00:16:22,560 --> 00:16:27,680 Speaker 3: and in fact, it energized people across the country. And 315 00:16:27,680 --> 00:16:30,520 Speaker 3: I'll point to what the effect was in twenty fourteen. 316 00:16:31,480 --> 00:16:34,560 Speaker 3: The next year, we had an election, and it was 317 00:16:34,640 --> 00:16:40,320 Speaker 3: a tsunami election. Republicans ended up winning nine Senate seats, 318 00:16:41,200 --> 00:16:44,960 Speaker 3: we retired Harry Reid as majority leader, and we ended 319 00:16:45,040 --> 00:16:47,920 Speaker 3: up winning the biggest majority in the House of Representative 320 00:16:47,960 --> 00:16:50,240 Speaker 3: since nineteen twenty eight. And if you look at exit 321 00:16:50,280 --> 00:16:55,680 Speaker 3: polling in that twenty fourteen election, the number one issue 322 00:16:55,720 --> 00:16:58,000 Speaker 3: in the country, according to the voters that were turning 323 00:16:58,000 --> 00:17:01,960 Speaker 3: out in massive numbers, was Obamacare, and they were saying, finally, finally, 324 00:17:02,000 --> 00:17:05,600 Speaker 3: you're fighting. Finally, Republicans are not rolling over. And so 325 00:17:05,680 --> 00:17:08,760 Speaker 3: that had I think a very significant effect on election 326 00:17:08,920 --> 00:17:12,600 Speaker 3: day and helped win back both the Senate and House 327 00:17:12,640 --> 00:17:15,679 Speaker 3: for Republicans. I don't think Corey Bookers is going to 328 00:17:15,720 --> 00:17:19,240 Speaker 3: have that same effect. And in fact, listen, I don't 329 00:17:19,280 --> 00:17:22,840 Speaker 3: know how many people watched it. I suspect like that 330 00:17:23,240 --> 00:17:26,160 Speaker 3: CNN and MSNBC was probably gushing about it, but I'll 331 00:17:26,160 --> 00:17:28,720 Speaker 3: confess I didn't turn on cn N or MSNBC, so 332 00:17:29,520 --> 00:17:31,960 Speaker 3: I don't know one where the other. I don't particularly care. 333 00:17:32,119 --> 00:17:36,600 Speaker 3: The seven Rabbid partisans who watched those networks probably were 334 00:17:36,640 --> 00:17:39,720 Speaker 3: quite happy with it. But at the end of the day, 335 00:17:40,160 --> 00:17:43,560 Speaker 3: look what was Cory Booker talking about, As best I 336 00:17:43,600 --> 00:17:46,879 Speaker 3: can tell, it was I hate Donald Trump. I'm a Democrat, 337 00:17:47,320 --> 00:17:50,320 Speaker 3: Trump bad, Orange Van bad. I'm mad at the voters. 338 00:17:50,359 --> 00:17:52,560 Speaker 3: Why did the voters elect Trump? Whye did the voters 339 00:17:53,359 --> 00:17:56,960 Speaker 3: elector Republican Senate? Why did the voters elected Republican House? Gosh, 340 00:17:57,000 --> 00:18:00,360 Speaker 3: I'm mad at the voters. Gosh, I hate Trump. I'm 341 00:18:00,400 --> 00:18:04,719 Speaker 3: not sure there's anything new there. I'm not sure was 342 00:18:04,760 --> 00:18:10,040 Speaker 3: there a person in America who was confused yesterday and 343 00:18:10,320 --> 00:18:13,679 Speaker 3: didn't know that that that that saidate Democrats hate Donald Trump? 344 00:18:13,800 --> 00:18:17,160 Speaker 3: Like like, was there any new information in it? And 345 00:18:17,160 --> 00:18:21,200 Speaker 3: and and so I've got to say I'm skeptical, uh 346 00:18:21,280 --> 00:18:23,480 Speaker 3: that that it's going to have a meaningful impact. And 347 00:18:23,760 --> 00:18:25,960 Speaker 3: I'll point out it's not just me who's who says 348 00:18:26,200 --> 00:18:32,680 Speaker 3: said that. Take a listen to what Joe Biden's communications director, 349 00:18:32,960 --> 00:18:36,720 Speaker 3: UH Kate Bettingfield uh said about Corey booker speech. 350 00:18:37,520 --> 00:18:41,080 Speaker 9: The Democratic base and Democratic donors are looking for signs 351 00:18:41,080 --> 00:18:44,119 Speaker 9: of life, and so I think what Senator Booker is 352 00:18:44,160 --> 00:18:46,760 Speaker 9: giving them here are some signs of life. Is it 353 00:18:46,840 --> 00:18:51,080 Speaker 9: going to have a tangible impact on business? 354 00:18:49,040 --> 00:18:49,320 Speaker 5: I mean. 355 00:18:51,520 --> 00:18:55,040 Speaker 9: I have a tangible impact on Booker, but I won't 356 00:18:55,080 --> 00:18:56,920 Speaker 9: have a tangible impact on business in Washington. 357 00:18:57,680 --> 00:19:00,800 Speaker 2: I mean, that's CNN saying it, Senator. And look it 358 00:19:00,880 --> 00:19:04,120 Speaker 2: was they changed and that's Biden's communications director. 359 00:19:04,720 --> 00:19:09,400 Speaker 3: It's Biden's communication director, amazingly enough. And so so look 360 00:19:09,440 --> 00:19:12,400 Speaker 3: Corey's that that's fine. Now now I will tell you. 361 00:19:12,920 --> 00:19:15,919 Speaker 3: So it was funny as Booker was giving his filibuster, 362 00:19:16,640 --> 00:19:18,840 Speaker 3: reporters were all rotting up to be and then they 363 00:19:18,880 --> 00:19:22,240 Speaker 3: all knew that he was. He was aiming to beat 364 00:19:22,240 --> 00:19:23,919 Speaker 3: my records. So they were asking me about it, and 365 00:19:23,920 --> 00:19:26,280 Speaker 3: they said, did you have any advice? And I will 366 00:19:26,280 --> 00:19:28,920 Speaker 3: I will admit Corey didn't ask me for any advice. 367 00:19:28,960 --> 00:19:30,800 Speaker 3: So now I did not give him any advice on this, 368 00:19:31,960 --> 00:19:34,520 Speaker 3: but I did share a story. So when I did 369 00:19:34,520 --> 00:19:39,359 Speaker 3: the filibuster in twenty thirteen, I had gotten some advice 370 00:19:39,400 --> 00:19:42,520 Speaker 3: from Rand Paul. So Rand Paul had done a thirteen 371 00:19:42,560 --> 00:19:46,600 Speaker 3: hour filibuster and I was planning to do mine and 372 00:19:47,880 --> 00:19:50,800 Speaker 3: Rand I asked him, Hey, Rand, you got any advice 373 00:19:50,800 --> 00:19:52,760 Speaker 3: because he'd just done thirteen hours, and he said, yeah. 374 00:19:52,760 --> 00:19:53,240 Speaker 5: Two things. 375 00:19:54,080 --> 00:19:58,800 Speaker 3: He said, Number one, wear comfortable shoes, because he said, 376 00:19:58,840 --> 00:20:00,680 Speaker 3: your feet and your legs will be killing you. 377 00:20:01,840 --> 00:20:01,919 Speaker 8: Uh. 378 00:20:02,000 --> 00:20:04,600 Speaker 3: And I will confess. I I as you know, every 379 00:20:04,680 --> 00:20:07,879 Speaker 3: day in the Senate, I wear black cowboy boots, the 380 00:20:07,920 --> 00:20:11,560 Speaker 3: boo boots. I wear alligator boots, and and they have 381 00:20:11,640 --> 00:20:13,960 Speaker 3: the Senate seal on the front and on the back 382 00:20:14,000 --> 00:20:15,840 Speaker 3: of it they have the come and Take It flag 383 00:20:16,280 --> 00:20:19,440 Speaker 3: and and so that's that's that's my standard foot wear 384 00:20:19,440 --> 00:20:21,960 Speaker 3: in the Senate. But for the filibuster, I went to 385 00:20:22,000 --> 00:20:24,600 Speaker 3: the store and I bought some some black tennis shoes. 386 00:20:25,359 --> 00:20:25,560 Speaker 7: Uh. 387 00:20:25,600 --> 00:20:27,679 Speaker 3: And in the middle of the filibuster, at like two 388 00:20:27,760 --> 00:20:29,560 Speaker 3: or three in the morning, I confess to the people 389 00:20:29,600 --> 00:20:32,760 Speaker 3: of Texas. I said, look, I have to I just 390 00:20:32,840 --> 00:20:35,280 Speaker 3: have to apologize to the people of Texas. I'm sorry 391 00:20:35,359 --> 00:20:38,160 Speaker 3: I didn't have the courage of my convictions to wear 392 00:20:38,160 --> 00:20:41,359 Speaker 3: my boots. I I I weaned out and got black 393 00:20:41,400 --> 00:20:43,560 Speaker 3: tennis shoes. But but I was planning on standing here 394 00:20:43,600 --> 00:20:46,000 Speaker 3: for a really long time. And and so I will 395 00:20:46,000 --> 00:20:48,480 Speaker 3: admit the tennis shoes are are are are more comfortable 396 00:20:48,480 --> 00:20:51,160 Speaker 3: for for the marathon time. The second bit of advice 397 00:20:51,240 --> 00:20:52,320 Speaker 3: ran game, I gotta ask you. 398 00:20:52,520 --> 00:20:54,199 Speaker 1: Yeah, I got to ask you though, when you were 399 00:20:54,240 --> 00:20:56,600 Speaker 1: picking out the tennis shoes, did you buy brand new 400 00:20:56,720 --> 00:20:58,639 Speaker 1: or did you wear them a little bit beforehand? 401 00:20:58,760 --> 00:20:59,000 Speaker 6: Yeah? 402 00:20:59,000 --> 00:21:00,960 Speaker 3: I didn't break them in and they were fine, and 403 00:21:01,119 --> 00:21:03,040 Speaker 3: and I don't think I've ever worn them since then. 404 00:21:03,160 --> 00:21:05,440 Speaker 3: Like I literally they wore them for the filibuster and 405 00:21:05,480 --> 00:21:11,560 Speaker 3: that was it. But but fortunately, even though they were new, 406 00:21:12,480 --> 00:21:14,720 Speaker 3: they were they were pretty comfortable. They were not bad 407 00:21:14,760 --> 00:21:18,239 Speaker 3: at all. The second bit of advice Rand gave me 408 00:21:18,359 --> 00:21:21,560 Speaker 3: was was if anything even more important? He said, drink 409 00:21:22,480 --> 00:21:26,159 Speaker 3: very little water. And in fact, Rand said when he 410 00:21:26,240 --> 00:21:28,919 Speaker 3: ended at thirteen hours, he said, my legs didn't take me. 411 00:21:29,080 --> 00:21:32,280 Speaker 3: It didn't make me give in. My bladder did. And 412 00:21:32,600 --> 00:21:36,160 Speaker 3: the most common question that that that I would get 413 00:21:36,200 --> 00:21:38,560 Speaker 3: about the filibuster is okay, what do you do about 414 00:21:38,560 --> 00:21:40,760 Speaker 3: going to the bathroom? And the real simple answer is 415 00:21:40,800 --> 00:21:45,640 Speaker 3: you don't. So the rules of a filibuster, you have 416 00:21:45,720 --> 00:21:48,360 Speaker 3: to stand, you cannot sit, and you have to stay 417 00:21:48,400 --> 00:21:50,560 Speaker 3: on the Senate floor. If if you sit, or if 418 00:21:50,560 --> 00:21:53,720 Speaker 3: you leave the Senate floor, you relinquish the floor, and 419 00:21:53,720 --> 00:21:58,280 Speaker 3: and and so, and that's why comfortable shoes matter, because 420 00:21:58,280 --> 00:22:00,840 Speaker 3: you're not allowed. You're technically not even allowed to lean 421 00:22:00,880 --> 00:22:03,240 Speaker 3: on the desk, although that that rule is not not 422 00:22:03,320 --> 00:22:05,320 Speaker 3: heavily enforced. You you can lean a little bit. 423 00:22:05,200 --> 00:22:05,800 Speaker 2: But you can't. 424 00:22:06,880 --> 00:22:11,720 Speaker 3: Uh but but you can't can't sit. And and legend 425 00:22:11,800 --> 00:22:17,320 Speaker 3: has it that during strong thermons UH filibuster that that 426 00:22:17,320 --> 00:22:20,080 Speaker 3: that he had an aid hold a bucket in in 427 00:22:20,080 --> 00:22:23,560 Speaker 3: in in the Senate cloak room, and and and and 428 00:22:23,600 --> 00:22:28,720 Speaker 3: he he took a leak while filibustering while standing on 429 00:22:28,760 --> 00:22:31,440 Speaker 3: the Senate floor. I figured, in the in the era 430 00:22:31,640 --> 00:22:35,639 Speaker 3: of of uh C span that probably wasn't the best idea. 431 00:22:35,720 --> 00:22:38,240 Speaker 3: So I was not going to do that. And so 432 00:22:38,400 --> 00:22:41,280 Speaker 3: for the entire course of of twenty one plus hours, 433 00:22:41,920 --> 00:22:44,760 Speaker 3: I drank one tiny little glass of water and that 434 00:22:44,760 --> 00:22:47,000 Speaker 3: that's all. I basically would take a little sip just 435 00:22:47,040 --> 00:22:51,000 Speaker 3: to just to moisten my throat, and and I got 436 00:22:51,040 --> 00:22:53,399 Speaker 3: to say, look, I've never gone twenty one hours with 437 00:22:53,480 --> 00:22:56,399 Speaker 3: going to without go to the bathroom, and and uh, 438 00:22:56,440 --> 00:22:58,600 Speaker 3: you know, I discovered a very simple principle which is 439 00:22:58,600 --> 00:23:01,520 Speaker 3: nothing in, nothing out. And so it was fine. But 440 00:23:01,600 --> 00:23:02,960 Speaker 3: that was excellent advice. 441 00:23:03,240 --> 00:23:06,080 Speaker 1: All right. So final question on this, and this is 442 00:23:06,400 --> 00:23:08,840 Speaker 1: I'm sure something that was going through your mind, Corey 443 00:23:08,840 --> 00:23:12,439 Speaker 1: Booker's mind. When did you know you were just going 444 00:23:12,520 --> 00:23:15,399 Speaker 1: to end it? How do you decide? Are you looking 445 00:23:15,400 --> 00:23:17,679 Speaker 1: at a certain time in your mind where you're like, 446 00:23:17,720 --> 00:23:19,760 Speaker 1: I gotta make it to X, and then as soon 447 00:23:19,800 --> 00:23:21,040 Speaker 1: as it hits I'm done. 448 00:23:21,640 --> 00:23:23,400 Speaker 2: What is the process of that as well? 449 00:23:24,200 --> 00:23:28,480 Speaker 3: Well? Actually I could have gone longer, and the problem 450 00:23:28,720 --> 00:23:33,280 Speaker 3: was in order to do the filibuster. A pure filibuster 451 00:23:33,840 --> 00:23:36,640 Speaker 3: is when the Senate floor is wide open and you 452 00:23:36,720 --> 00:23:40,119 Speaker 3: take control of the filibuster, and it is the prerogative 453 00:23:40,160 --> 00:23:42,800 Speaker 3: of every senator have unlimited debate, and so if you 454 00:23:42,840 --> 00:23:45,399 Speaker 3: take control of the floor, you can hold it for 455 00:23:45,440 --> 00:23:48,720 Speaker 3: as long as you are able to hold it. When 456 00:23:48,800 --> 00:23:53,880 Speaker 3: I started the filibuster, unfortunately Harry Reid, then the majority leader, 457 00:23:53,880 --> 00:23:58,120 Speaker 3: the Democrats were in charge had locked in a unanimous 458 00:23:58,160 --> 00:24:03,760 Speaker 3: consent resolution that the next day there was a vote 459 00:24:03,920 --> 00:24:07,800 Speaker 3: scheduled I think at noon, and it was locked in, 460 00:24:08,640 --> 00:24:11,280 Speaker 3: which meant I had an endpoint. I had an endpoint 461 00:24:11,320 --> 00:24:14,600 Speaker 3: that was a wall because that unanimous consent had been 462 00:24:14,640 --> 00:24:21,199 Speaker 3: locked in, and so it trumps it is it's effectively 463 00:24:21,240 --> 00:24:24,159 Speaker 3: a Senate rule. And so when I was north of 464 00:24:24,200 --> 00:24:27,840 Speaker 3: twenty one hours, I had plenty of strength. I could 465 00:24:27,880 --> 00:24:30,480 Speaker 3: have kept going, and I really wanted to break strom 466 00:24:30,560 --> 00:24:34,080 Speaker 3: Thurman's record, and I actually sent one of my staffers 467 00:24:34,119 --> 00:24:38,640 Speaker 3: to ask Harry Reid if he would consent. I could 468 00:24:38,680 --> 00:24:42,800 Speaker 3: have asked unanimous consent to be allowed to complete my 469 00:24:42,880 --> 00:24:45,760 Speaker 3: speech and if read it aloud and I would have 470 00:24:45,800 --> 00:24:48,360 Speaker 3: been able to. So I asked my staffer, I'm like, look, 471 00:24:48,400 --> 00:24:51,080 Speaker 3: do you really want the record for the longest filibuster 472 00:24:51,200 --> 00:24:55,240 Speaker 3: to be to be held by a segregationist who was 473 00:24:55,280 --> 00:25:00,840 Speaker 3: filibustering against the civil rights laws? Like I'd really love 474 00:25:00,880 --> 00:25:03,639 Speaker 3: to break it? And Harry Reid, being Harry Reid, he 475 00:25:03,760 --> 00:25:07,520 Speaker 3: just said no, and so I was forced to end. 476 00:25:07,560 --> 00:25:10,919 Speaker 3: When when I did, Corey Booker that there was not 477 00:25:10,960 --> 00:25:13,560 Speaker 3: a unanimous consent in place, locking up the time and 478 00:25:13,600 --> 00:25:16,000 Speaker 3: so Corey was able to go long enough as long 479 00:25:16,040 --> 00:25:18,480 Speaker 3: as he wanted, and and then and he was able 480 00:25:18,480 --> 00:25:18,920 Speaker 3: to break the. 481 00:25:18,880 --> 00:25:20,360 Speaker 2: Record as before. 482 00:25:20,520 --> 00:25:22,400 Speaker 1: If you want to hear the rest of this conversation 483 00:25:22,720 --> 00:25:25,000 Speaker 1: on this topic, you can go back and dow the 484 00:25:25,200 --> 00:25:27,760 Speaker 1: podcast from earlier this week to hear the entire thing. 485 00:25:29,040 --> 00:25:31,360 Speaker 1: I want to get back to the big story number 486 00:25:31,400 --> 00:25:32,000 Speaker 1: three of the week. 487 00:25:32,040 --> 00:25:32,800 Speaker 2: You may have missed. 488 00:25:33,200 --> 00:25:34,679 Speaker 1: All right, So then I got to ask you this 489 00:25:34,800 --> 00:25:41,560 Speaker 1: question behind the scenes. What are the conversations with your 490 00:25:41,720 --> 00:25:44,760 Speaker 1: colleagues are on a scove one to ten, how concerned 491 00:25:44,800 --> 00:25:48,760 Speaker 1: are they over the scenario that you just described forty two? 492 00:25:49,200 --> 00:25:53,439 Speaker 3: Okay, Look, there's another point that I think is important 493 00:25:53,480 --> 00:25:55,480 Speaker 3: to understand. So you and I did a podcast I 494 00:25:55,480 --> 00:25:58,479 Speaker 3: think last week where we talked about tariffs, and I 495 00:25:58,520 --> 00:26:02,200 Speaker 3: talked about I said, listen, the present uses tariffs for 496 00:26:02,520 --> 00:26:07,199 Speaker 3: two principal purposes. One is leverage as an incentive to 497 00:26:07,280 --> 00:26:11,920 Speaker 3: incentivize other countries to enact policies that benefit America. And 498 00:26:11,960 --> 00:26:14,399 Speaker 3: the clearest example of that is the threatened tariffs against 499 00:26:14,400 --> 00:26:18,359 Speaker 3: Mexico and Canada unlessen until they help US secure the border. Now, 500 00:26:18,480 --> 00:26:22,160 Speaker 3: using tariffs's leverage for something like that is very effective. 501 00:26:22,160 --> 00:26:26,240 Speaker 3: The President uses it really well, and particularly using them 502 00:26:26,480 --> 00:26:31,520 Speaker 3: to push securing the border. I am emphatically in favor 503 00:26:31,560 --> 00:26:35,480 Speaker 3: of that. Is it has proven successful. It worked incredibly 504 00:26:35,520 --> 00:26:38,119 Speaker 3: well in the first term. It produced to remain in 505 00:26:38,160 --> 00:26:41,480 Speaker 3: Mexico agreement with Mexico. It produced the lowest rate of 506 00:26:41,480 --> 00:26:45,560 Speaker 3: illegal immigration in forty five years, stopping the border invasion 507 00:26:45,560 --> 00:26:48,400 Speaker 3: of the last four years. As an acute national security 508 00:26:48,400 --> 00:26:52,040 Speaker 3: and public safety imperative, it is a mandate from the 509 00:26:52,119 --> 00:26:55,400 Speaker 3: last election. It is massively important for Texas. So I'm 510 00:26:55,440 --> 00:26:58,440 Speaker 3: all for using the thread of tariffs's leverage to get 511 00:26:58,480 --> 00:27:01,880 Speaker 3: good policy that benefits America. But there's a second component, 512 00:27:02,520 --> 00:27:04,720 Speaker 3: and this is an important thing to understand, which is 513 00:27:04,760 --> 00:27:08,560 Speaker 3: Donald Trump and much of his administration believes in tariffs 514 00:27:08,600 --> 00:27:11,840 Speaker 3: as an economic policy. We've all heard Donald Trump say 515 00:27:12,400 --> 00:27:15,280 Speaker 3: tariff is the most beautiful word in the English language. 516 00:27:15,920 --> 00:27:20,160 Speaker 3: And I do think the business community so look, look, 517 00:27:20,200 --> 00:27:25,880 Speaker 3: we had the stock market plummeted, we saw massive losses 518 00:27:25,880 --> 00:27:28,080 Speaker 3: in the stock market. We may well see more massive 519 00:27:28,080 --> 00:27:31,480 Speaker 3: losses than the stock market. I think the business community 520 00:27:32,400 --> 00:27:35,800 Speaker 3: was shocked by the magnitude of these communities, of these tariffs, 521 00:27:36,359 --> 00:27:39,600 Speaker 3: by the breadth of them. Look as we talked about 522 00:27:39,600 --> 00:27:43,199 Speaker 3: in our earlier podcast on tariffs, what I've urged the 523 00:27:43,240 --> 00:27:46,600 Speaker 3: President is two things. Number One, focus on China, because 524 00:27:46,680 --> 00:27:50,640 Speaker 3: delinking our economy from China is emphatically an America's national 525 00:27:50,640 --> 00:27:54,280 Speaker 3: security interests and economic security interests. And number two, focus 526 00:27:54,320 --> 00:27:57,720 Speaker 3: on reciprocity. And the reason I've said focus on reciprocity 527 00:27:57,800 --> 00:28:00,639 Speaker 3: is the upside scenario I just talked about, which is, 528 00:28:00,680 --> 00:28:03,600 Speaker 3: by focusing on reciprocity, if you incentivize other countries to 529 00:28:03,640 --> 00:28:06,600 Speaker 3: lower their tariffs and we lower ours, that's a win 530 00:28:06,720 --> 00:28:10,119 Speaker 3: win for America. But the thing to understand, I believe 531 00:28:10,200 --> 00:28:16,240 Speaker 3: the business community has systematically underestimated how much President Trump 532 00:28:16,240 --> 00:28:20,600 Speaker 3: and the Trump administration views tariffs as an ongoing, permanent 533 00:28:20,640 --> 00:28:23,959 Speaker 3: feature of our economic policy. I can tell you virtually 534 00:28:23,960 --> 00:28:25,639 Speaker 3: every time I talk with the President, I talk with 535 00:28:25,680 --> 00:28:28,800 Speaker 3: the President frequently, he goes on at length. Have you 536 00:28:29,000 --> 00:28:32,960 Speaker 3: seen the billions of dollars, the hundreds of billions of dollars, 537 00:28:33,040 --> 00:28:35,880 Speaker 3: the trillions of dollars we are raising and are going 538 00:28:35,920 --> 00:28:38,920 Speaker 3: to raise from tariffs? Now, I think a lot of 539 00:28:38,920 --> 00:28:40,760 Speaker 3: people said, oh, he's going to threaten these tariffs, but 540 00:28:40,800 --> 00:28:43,600 Speaker 3: he's going to lift them very quickly. If he does that, great. 541 00:28:44,160 --> 00:28:46,040 Speaker 3: If he leaves them in place and we just have 542 00:28:46,200 --> 00:28:49,440 Speaker 3: constant tariffs, that is a massive tax increase on the 543 00:28:49,440 --> 00:28:54,280 Speaker 3: American people. And I think many people are underestimating that. 544 00:28:54,840 --> 00:29:00,240 Speaker 3: The President believes and many members of his administration believe 545 00:29:00,640 --> 00:29:04,480 Speaker 3: that tariffs are just a fabulous feature of the American economy. 546 00:29:04,280 --> 00:29:08,320 Speaker 3: They harken back to William McKinley when he was president. Now, 547 00:29:08,400 --> 00:29:10,840 Speaker 3: now look we used to have before the income tax, 548 00:29:10,920 --> 00:29:13,360 Speaker 3: tariffs were the main source of revenue for the federal government, 549 00:29:13,600 --> 00:29:16,920 Speaker 3: and they want to go back to that scenario. And 550 00:29:17,000 --> 00:29:19,240 Speaker 3: I got to say, we're going to find out because listen, 551 00:29:19,280 --> 00:29:22,440 Speaker 3: President Trump believes in this. I think in the first 552 00:29:22,560 --> 00:29:28,480 Speaker 3: term he wanted to impose policies like this, and I 553 00:29:28,520 --> 00:29:32,560 Speaker 3: think many Republican senators talked him out of it, pressed 554 00:29:32,600 --> 00:29:34,720 Speaker 3: him back and said, look, their real risk, don't do this. 555 00:29:35,600 --> 00:29:38,120 Speaker 3: I think of the second term, Trump feels unchained, he 556 00:29:38,160 --> 00:29:41,320 Speaker 3: feels unburdened. He's like, screw it, let's go, and he 557 00:29:41,400 --> 00:29:41,880 Speaker 3: believes it. 558 00:29:41,920 --> 00:29:44,360 Speaker 1: I do know, by the way, that's where the threat 559 00:29:44,360 --> 00:29:48,440 Speaker 1: could actually work, right, because every other country's looking at saying, hey, 560 00:29:48,840 --> 00:29:50,280 Speaker 1: like this is surely he's not going to do it. 561 00:29:50,360 --> 00:29:53,600 Speaker 1: He does it like he's going to finch quickly. There's 562 00:29:53,600 --> 00:29:55,960 Speaker 1: no indicasion, he's going to finch per se quickly. 563 00:29:56,360 --> 00:29:56,520 Speaker 3: Right. 564 00:29:56,800 --> 00:29:59,000 Speaker 1: I think the real threat of it is the fact 565 00:29:59,040 --> 00:30:01,200 Speaker 1: that he's actually willing to go through with it. 566 00:30:01,560 --> 00:30:04,480 Speaker 3: Look, I want this to succeed. I wanted to succeed, 567 00:30:04,520 --> 00:30:07,880 Speaker 3: But my definition of succeed may be different than the 568 00:30:07,880 --> 00:30:12,640 Speaker 3: White Houses. My definition of succeed is dramatically lower tariffs 569 00:30:12,640 --> 00:30:17,200 Speaker 3: abroad and result in dramatically lowering tariffs here. That's success 570 00:30:17,440 --> 00:30:21,240 Speaker 3: for the American workers, American businesses, American growth, American prosperity. 571 00:30:21,600 --> 00:30:26,920 Speaker 3: That's a great outcome. But look, I think we're going 572 00:30:27,000 --> 00:30:30,680 Speaker 3: to find out one hundred years ago the US economy 573 00:30:30,720 --> 00:30:35,080 Speaker 3: didn't have the leverage to have the kind of impact 574 00:30:35,120 --> 00:30:39,400 Speaker 3: we do now. But I worry there are voices within 575 00:30:39,440 --> 00:30:44,040 Speaker 3: the administration that want to see these tariffs continue forever 576 00:30:44,160 --> 00:30:46,600 Speaker 3: and ever and ever. They don't want a lower of them. 577 00:30:47,080 --> 00:30:51,200 Speaker 3: They think they're great. And what is particularly I think 578 00:30:51,320 --> 00:30:54,640 Speaker 3: has has startled some observers. It wasn't just directed at China, 579 00:30:54,640 --> 00:30:57,680 Speaker 3: it wasn't just directed at bad actors. It was directed 580 00:30:57,680 --> 00:31:02,480 Speaker 3: against everybody that Yeah, that is the breadth of it 581 00:31:01,960 --> 00:31:06,400 Speaker 3: is enormous and it carries it carries upside, but it 582 00:31:06,440 --> 00:31:07,480 Speaker 3: also carries real risk. 583 00:31:07,800 --> 00:31:11,520 Speaker 1: All right, let's talk timeline in your definition of short 584 00:31:11,600 --> 00:31:14,520 Speaker 1: term or long term. What does that timeline look like, 585 00:31:15,120 --> 00:31:18,680 Speaker 1: because obviously people are trying to figure out weathering the storm. Right, 586 00:31:18,720 --> 00:31:20,800 Speaker 1: you talked about supply chain and the car is a 587 00:31:20,840 --> 00:31:24,440 Speaker 1: great example. You don't feel the pain till let's say June. 588 00:31:24,840 --> 00:31:27,040 Speaker 1: All right, so give us a few months for things 589 00:31:27,040 --> 00:31:29,120 Speaker 1: to kind of work its way through, work it out. 590 00:31:29,640 --> 00:31:30,080 Speaker 2: Is that a. 591 00:31:30,080 --> 00:31:33,640 Speaker 1: Timeline of short term and then after that it's it's considered. 592 00:31:33,680 --> 00:31:35,880 Speaker 1: All right, this is long term? What is that timeline 593 00:31:35,880 --> 00:31:36,560 Speaker 1: in your opinion? 594 00:31:36,800 --> 00:31:39,640 Speaker 3: Well, let's be clear, the timeline was immediate. So so 595 00:31:39,720 --> 00:31:44,240 Speaker 3: let me read from the Wall Street Journal headline Trump 596 00:31:44,240 --> 00:31:47,560 Speaker 3: tariff send out to sixteen hundred point decline, dollar slumps 597 00:31:47,960 --> 00:31:50,160 Speaker 3: Asian stocks hit for a second day, fear as a 598 00:31:50,160 --> 00:31:53,080 Speaker 3: recession rise. And here's what the Wall Street Journal reports quote, 599 00:31:53,440 --> 00:31:56,480 Speaker 3: US markets suffer their steepest decline since twenty twenty on 600 00:31:56,520 --> 00:31:59,760 Speaker 3: fears President Trump's new terift's plan will trigger a global 601 00:31:59,800 --> 00:32:03,240 Speaker 3: trid war and dragged the US economy into recession. Major 602 00:32:03,320 --> 00:32:06,400 Speaker 3: stock indexes dropped as much as six percent. On Thursday, 603 00:32:06,480 --> 00:32:10,880 Speaker 3: stocks lost roughly three point one trillion dollars in market value, 604 00:32:11,200 --> 00:32:14,520 Speaker 3: their largest one day decline since March twenty twenty. Stock 605 00:32:14,560 --> 00:32:17,840 Speaker 3: index futures drifted lower Thursday evening in stocks in Japan 606 00:32:18,160 --> 00:32:20,280 Speaker 3: were hit for a second day as Friday training began. 607 00:32:20,680 --> 00:32:25,080 Speaker 3: In Thursday's market plunge, the Dow Industrials dropped sixteen one 608 00:32:25,160 --> 00:32:27,520 Speaker 3: hundred and seventy nine points, or four percent. The tech 609 00:32:27,560 --> 00:32:30,520 Speaker 3: heavy NAGS deck, which powered the market higher for years, 610 00:32:30,560 --> 00:32:34,840 Speaker 3: was down six percent, pulled lower by big declines at Nvidia, Apple, 611 00:32:34,880 --> 00:32:37,120 Speaker 3: and Amazon dot Com. The S and P five hundred, 612 00:32:37,120 --> 00:32:39,640 Speaker 3: which fell four point eight percent, and the other benchmark 613 00:32:39,680 --> 00:32:42,800 Speaker 3: suffered their sharpest decline since the early days of the 614 00:32:42,840 --> 00:32:46,440 Speaker 3: COVID nineteen pandemic. The dollar meanwhile tumbled, with a Wall 615 00:32:46,480 --> 00:32:49,680 Speaker 3: Street Journal Dollar Index suffering at sharpest decline since twenty 616 00:32:49,720 --> 00:32:53,800 Speaker 3: twenty three. Now those are immediate hits, and understand, look, 617 00:32:53,840 --> 00:32:56,000 Speaker 3: it's easy to say, okay, fine, you know, that's just 618 00:32:56,160 --> 00:32:59,480 Speaker 3: rich people. Look at this point, a majority of Americans 619 00:32:59,520 --> 00:33:02,200 Speaker 3: have money invested in four O one ks and iras, 620 00:33:02,280 --> 00:33:06,640 Speaker 3: and so that's impacting everyone. And people don't necessarily follow 621 00:33:06,680 --> 00:33:08,840 Speaker 3: their four a one K on a daily basis. Many 622 00:33:08,840 --> 00:33:11,280 Speaker 3: people see their four A one K statement when it 623 00:33:11,320 --> 00:33:13,400 Speaker 3: comes out at the end of the quarter. A whole 624 00:33:13,440 --> 00:33:15,640 Speaker 3: lot of people are looking at that and we'll see 625 00:33:15,680 --> 00:33:18,200 Speaker 3: if that's a temporary one day hit, but if it 626 00:33:18,240 --> 00:33:21,400 Speaker 3: continues to slide over the next few days, that's not 627 00:33:21,560 --> 00:33:25,120 Speaker 3: waiting for six months to see the impact. That's freaking 628 00:33:25,120 --> 00:33:30,640 Speaker 3: people out now. And so the consequences of this are real, 629 00:33:31,000 --> 00:33:33,240 Speaker 3: and I want to be clear about something. Look, it 630 00:33:33,560 --> 00:33:38,120 Speaker 3: used to be conventional wisdom in Republican politics that free 631 00:33:38,120 --> 00:33:40,800 Speaker 3: trade is wonderful and we should just have no tariffs 632 00:33:40,800 --> 00:33:41,680 Speaker 3: and lower teriffs. 633 00:33:41,840 --> 00:33:45,160 Speaker 2: And that was almost everyone to ask you. This is 634 00:33:45,200 --> 00:33:47,040 Speaker 2: a question. I'm just going to ask it because I 635 00:33:47,120 --> 00:33:48,320 Speaker 2: know there's people listening. 636 00:33:48,880 --> 00:33:52,400 Speaker 1: They want to know what the definition your definition of 637 00:33:52,440 --> 00:33:53,479 Speaker 1: free trade is. 638 00:33:54,000 --> 00:33:57,360 Speaker 3: That used to be conventional wisdom. And I want to 639 00:33:57,360 --> 00:34:00,480 Speaker 3: give Donald Trump credit for something really signific again, which 640 00:34:00,520 --> 00:34:04,960 Speaker 3: is he's changed the debate on trade fundamentally. And so 641 00:34:05,320 --> 00:34:07,640 Speaker 3: I believe in free trade, but I also believe in 642 00:34:07,720 --> 00:34:12,000 Speaker 3: fair trade, and so when I talk about reciprocity, Donald 643 00:34:12,040 --> 00:34:14,120 Speaker 3: Trump has made a very clear point, and it's a 644 00:34:14,120 --> 00:34:17,000 Speaker 3: powerful point, which is many countries on Earth have been 645 00:34:17,040 --> 00:34:19,839 Speaker 3: taking advantage of the United States and have been imposing 646 00:34:20,440 --> 00:34:24,439 Speaker 3: really high tariffs and barriers to US goods while having 647 00:34:24,480 --> 00:34:27,120 Speaker 3: free access to the American markets. And that is unfair. 648 00:34:27,400 --> 00:34:31,200 Speaker 3: And so I love that President Trump is willing to 649 00:34:31,320 --> 00:34:34,560 Speaker 3: use leverage to lower tariffs. I think that's great and 650 00:34:34,600 --> 00:34:36,960 Speaker 3: that really is a change in the debate. Ten years 651 00:34:36,960 --> 00:34:40,760 Speaker 3: ago there was nobody in the Republican Party making that argument, 652 00:34:40,920 --> 00:34:45,240 Speaker 3: and that is the direct result of President Trump's leadership. 653 00:34:45,320 --> 00:34:49,240 Speaker 3: That's a good thing. Saying we should be treated fairly, 654 00:34:49,320 --> 00:34:51,800 Speaker 3: that is a good thing. That is a very different 655 00:34:51,840 --> 00:34:55,959 Speaker 3: proposition from saying it doesn't matter if other countries lower 656 00:34:56,040 --> 00:34:59,320 Speaker 3: their tariffs. We're going to impose tariffs on everybody because 657 00:34:59,320 --> 00:35:02,520 Speaker 3: we think r should be the principal vehicle of funding 658 00:35:02,560 --> 00:35:06,440 Speaker 3: the economy. If the outcome of this is a multi 659 00:35:06,480 --> 00:35:11,200 Speaker 3: trillion dollar tax increase on American consumers, I think that 660 00:35:11,200 --> 00:35:14,400 Speaker 3: that is really consequential and really really harmful. 661 00:35:15,320 --> 00:35:17,160 Speaker 2: So let me ask you one other question, and that 662 00:35:17,360 --> 00:35:21,719 Speaker 2: is if these tariffs don't change center, then what would 663 00:35:21,760 --> 00:35:22,440 Speaker 2: the impact be. 664 00:35:23,760 --> 00:35:26,879 Speaker 3: Well, let me share an analysis that a group called 665 00:35:26,880 --> 00:35:30,680 Speaker 3: the Tax Foundation did. Now, the tax Foundation is a 666 00:35:30,840 --> 00:35:33,279 Speaker 3: think tank based in Washington, they're very good. They're they're 667 00:35:33,320 --> 00:35:37,960 Speaker 3: economic experts. They analyze tax policies. They have proven to 668 00:35:38,000 --> 00:35:41,400 Speaker 3: be incredibly accurate in terms of measuring the impact of taxes. 669 00:35:42,239 --> 00:35:45,160 Speaker 3: Here's what the Tax Foundation has assessed from the announcement 670 00:35:45,200 --> 00:35:48,840 Speaker 3: this week. They say, if these stay in effect, the 671 00:35:48,920 --> 00:35:53,000 Speaker 3: average tariff rate on all imports will rise from two 672 00:35:53,040 --> 00:35:57,160 Speaker 3: point five percent in twenty twenty four to eighteen point 673 00:35:57,200 --> 00:36:00,560 Speaker 3: eight percent, the highest average rate since nineteen thirty three, 674 00:36:01,080 --> 00:36:04,839 Speaker 3: under the tariffs announced for twenty twenty five. The consequence 675 00:36:04,840 --> 00:36:08,439 Speaker 3: of those tariffs, they will cause imports to fall by 676 00:36:08,560 --> 00:36:13,000 Speaker 3: slightly more than nine hundred billion dollars in twenty twenty five, 677 00:36:13,080 --> 00:36:15,840 Speaker 3: or twenty eight percent. So that's what they're predicting, is 678 00:36:15,840 --> 00:36:19,240 Speaker 3: that imports drop nine hundred billion dollars twenty eight percent 679 00:36:19,640 --> 00:36:23,080 Speaker 3: this year. They also say the newly announced tariffs on 680 00:36:23,120 --> 00:36:27,440 Speaker 3: April second will raise one point eight trillion dollars in 681 00:36:27,520 --> 00:36:32,240 Speaker 3: revenue over the next decade and will shrink US GDP 682 00:36:33,520 --> 00:36:38,240 Speaker 3: by zero point five percent. The April second escalation, they note, 683 00:36:38,360 --> 00:36:41,839 Speaker 3: comes in addition to the previously announced tariffs, which will 684 00:36:41,960 --> 00:36:46,239 Speaker 3: raise another one point three trillion dollars in revenue over 685 00:36:46,280 --> 00:36:49,560 Speaker 3: the next decade and shrink US GDP by zero point 686 00:36:49,600 --> 00:36:54,840 Speaker 3: three percent. Altogether, Trump's tariffs will raise nearly three point 687 00:36:54,880 --> 00:36:58,880 Speaker 3: two trillion dollars in revenue over the next decade and 688 00:36:59,000 --> 00:37:03,480 Speaker 3: reduce US GDP by zero point eight percent. They further 689 00:37:03,600 --> 00:37:08,080 Speaker 3: project the tariffs will reduce after tax income by an 690 00:37:08,120 --> 00:37:11,520 Speaker 3: average of two point one percent, an amount to an 691 00:37:11,560 --> 00:37:15,560 Speaker 3: average tax increase of more than two one hundred dollars 692 00:37:16,200 --> 00:37:21,120 Speaker 3: per US household in twenty twenty five. Now, to be clear, 693 00:37:22,080 --> 00:37:25,200 Speaker 3: that's a prediction. If these tariffs stay in place, If 694 00:37:25,239 --> 00:37:29,200 Speaker 3: they don't change, if the upside that I described happens, 695 00:37:29,800 --> 00:37:33,120 Speaker 3: if foreign countries slash their tariffs and Trump in turn 696 00:37:33,200 --> 00:37:37,480 Speaker 3: slash these tariffs, none of those numbers hold. Instead, I 697 00:37:37,520 --> 00:37:41,560 Speaker 3: think we see an enormous economic boom. But if that 698 00:37:41,640 --> 00:37:44,520 Speaker 3: doesn't happen, if these tariffs stay in place as an 699 00:37:44,560 --> 00:37:49,359 Speaker 3: ongoing economic policy, we're facing very real and I think 700 00:37:49,480 --> 00:37:51,040 Speaker 3: very detrimental consequences. 701 00:37:51,440 --> 00:37:54,719 Speaker 1: As always, thank you for listening to Verdict with Center, 702 00:37:54,800 --> 00:37:57,200 Speaker 1: Ted Cruz, Ben Ferguson with you don't forget to deal 703 00:37:57,320 --> 00:37:59,480 Speaker 1: with my podcast, and you can listen to my podcast 704 00:37:59,560 --> 00:38:01,560 Speaker 1: every other day. You're not listening to Verdict or each 705 00:38:01,600 --> 00:38:04,040 Speaker 1: day when you listen to Verdict afterwards, I'd love to 706 00:38:04,080 --> 00:38:07,160 Speaker 1: have you as a listener to again the Ben Ferguson Podcasts, 707 00:38:07,200 --> 00:38:09,600 Speaker 1: and we will see you back here on Monday morning.