1 00:00:01,560 --> 00:00:03,920 Speaker 1: When you're ready to ride Metro, we want you to 2 00:00:03,960 --> 00:00:06,560 Speaker 1: know we're ready for you. Here are just a few 3 00:00:06,559 --> 00:00:08,399 Speaker 1: of the people at Metro to tell you how we're 4 00:00:08,440 --> 00:00:11,319 Speaker 1: doing our part to keep writers safe. We're cleaning like 5 00:00:11,400 --> 00:00:15,720 Speaker 1: Noble before Great. You've found halfs out of suse of 6 00:00:15,720 --> 00:00:20,840 Speaker 1: statist no mask, no Metro need one. We have a 7 00:00:20,840 --> 00:00:23,840 Speaker 1: few extras at Metro. We're doing our part to keep 8 00:00:23,840 --> 00:00:26,239 Speaker 1: the DC area moving. Find out more at Well not 9 00:00:26,400 --> 00:00:31,800 Speaker 1: a dot com slash doing our part. I think the 10 00:00:31,880 --> 00:00:36,159 Speaker 1: loss of community is one of the biggest consequences of 11 00:00:36,200 --> 00:00:39,080 Speaker 1: automation and artificial intelligence in the way they're changing work. 12 00:00:39,400 --> 00:00:41,000 Speaker 1: Used to be, you've got a lot of community from 13 00:00:41,000 --> 00:00:43,599 Speaker 1: the workplace because you knew that you would have a 14 00:00:43,640 --> 00:00:46,480 Speaker 1: lifelong relationship with a single employer. And that was true 15 00:00:46,479 --> 00:00:49,120 Speaker 1: whether you were a blue collar worker at a at 16 00:00:49,120 --> 00:00:51,720 Speaker 1: a production facility and your spouses get to know each 17 00:00:51,720 --> 00:00:54,240 Speaker 1: other through the union technics, or whether you're a white 18 00:00:54,240 --> 00:00:56,680 Speaker 1: collar worker at a c P A firm and you 19 00:00:56,720 --> 00:00:58,360 Speaker 1: and your spouses get to know each other at the 20 00:00:58,360 --> 00:01:02,240 Speaker 1: firm dinners um. That model is fading away. People in 21 00:01:02,280 --> 00:01:05,600 Speaker 1: my generation are likely to change careers more often than 22 00:01:05,600 --> 00:01:09,200 Speaker 1: our parents change jobs. Who was that young firebrand, Pete 23 00:01:09,200 --> 00:01:11,840 Speaker 1: butter Jitch who when he talks, I think, Bob, that 24 00:01:11,959 --> 00:01:14,120 Speaker 1: is really interesting, even the stuff that I don't agree with, 25 00:01:14,200 --> 00:01:17,120 Speaker 1: I think that is an interesting way to present it, 26 00:01:17,200 --> 00:01:20,800 Speaker 1: at least as thoughtful. Yeah and and not And so 27 00:01:20,880 --> 00:01:23,399 Speaker 1: far I haven't heard him hit any of those phrases 28 00:01:23,720 --> 00:01:27,440 Speaker 1: that you know he knows is complete bs and he's 29 00:01:27,480 --> 00:01:30,479 Speaker 1: just throwing it out there to make everybody go yeah, 30 00:01:30,600 --> 00:01:33,280 Speaker 1: which you hear from all candidates all the time. I 31 00:01:33,280 --> 00:01:35,080 Speaker 1: don't know if that means he's got a better shot 32 00:01:35,200 --> 00:01:38,480 Speaker 1: or no shot. I have a and that a powerful 33 00:01:38,560 --> 00:01:41,039 Speaker 1: and bitter criticism of Mr butter Jig coming up a 34 00:01:41,040 --> 00:01:44,520 Speaker 1: little bit later on as a candidate or his political stances. Um, 35 00:01:44,720 --> 00:01:48,760 Speaker 1: his political stances. Yeah, just something I vehemently disagree with on. 36 00:01:48,840 --> 00:01:51,080 Speaker 1: But you know, we'll get to that eventually. Right now, though, 37 00:01:51,120 --> 00:01:54,160 Speaker 1: speaking of Pete butter Jig and another young firebrand who's 38 00:01:54,160 --> 00:01:56,120 Speaker 1: getting a lot of attention on the Democrats side of 39 00:01:56,120 --> 00:01:59,040 Speaker 1: the al Tiana Load joins just Tiana's a commentary writer 40 00:01:59,120 --> 00:02:03,360 Speaker 1: for The Washington Examiner. Thiata welcome, how are you hi? 41 00:02:03,560 --> 00:02:05,920 Speaker 1: Thank you for having me. It's our pleasure. Thanks so 42 00:02:06,360 --> 00:02:09,359 Speaker 1: listen to any agreement disagreement. Pete Butter j just seems 43 00:02:09,400 --> 00:02:14,720 Speaker 1: like a thoughtful and sincere young man. Well, yes, certainly. 44 00:02:14,760 --> 00:02:18,359 Speaker 1: I mean he's a Rhodes scholar, graduated magna cum laude 45 00:02:18,480 --> 00:02:22,200 Speaker 1: from Harvard by data Kappa, served the country, he was 46 00:02:22,240 --> 00:02:25,000 Speaker 1: a lieutenant in the Navy, and clearly he knows his 47 00:02:25,080 --> 00:02:28,760 Speaker 1: policy shops. Yeah, unlike these like six senators who are 48 00:02:28,800 --> 00:02:32,400 Speaker 1: running for president, who keep on, you know, making fools 49 00:02:32,400 --> 00:02:36,600 Speaker 1: of themselves discussing was saying nineties three trillion dollar a 50 00:02:36,680 --> 00:02:40,120 Speaker 1: green new deals and being unable to answer basic questions 51 00:02:40,120 --> 00:02:42,880 Speaker 1: about the Medicare for All bill that they support. But 52 00:02:43,080 --> 00:02:46,000 Speaker 1: a judge has been quite nuanced. And that's not to 53 00:02:46,040 --> 00:02:49,839 Speaker 1: say that he hasn't proven himself extremely progressive and less 54 00:02:49,880 --> 00:02:52,440 Speaker 1: doing in a way that I think scares me personally. 55 00:02:52,880 --> 00:02:56,239 Speaker 1: But he's able to answer his questions understanding the minutia 56 00:02:56,320 --> 00:02:58,919 Speaker 1: of the policy that he's advocating for. Yeah. Well, I 57 00:02:59,160 --> 00:03:00,680 Speaker 1: look at all these things as two different things. By 58 00:03:00,680 --> 00:03:02,800 Speaker 1: grading this person as a candidate because I like the 59 00:03:02,840 --> 00:03:05,800 Speaker 1: sport of running for president or I discussing policy in 60 00:03:05,880 --> 00:03:08,120 Speaker 1: terms of running for president, I think he is the 61 00:03:08,160 --> 00:03:10,880 Speaker 1: class of the field. I don't know if that style 62 00:03:10,880 --> 00:03:13,840 Speaker 1: of running for president works anymore though, so I guess 63 00:03:13,960 --> 00:03:17,400 Speaker 1: that remains to be seen. Yeah, I mean, so right 64 00:03:17,440 --> 00:03:20,240 Speaker 1: now is top pole that everyone's been talking about is 65 00:03:20,560 --> 00:03:22,960 Speaker 1: pulling a four percent in Iowa, which is which is 66 00:03:23,000 --> 00:03:27,040 Speaker 1: fairly incredible. Um. I mean, the odds of him winning, 67 00:03:27,160 --> 00:03:31,120 Speaker 1: statistically speaking, are very, very very slim. Why didn't think 68 00:03:31,160 --> 00:03:34,720 Speaker 1: about it? Because he's mayor of the two hundred largest 69 00:03:34,720 --> 00:03:39,440 Speaker 1: city in the country. Has never elected a mayor as president, 70 00:03:39,520 --> 00:03:42,880 Speaker 1: not a mayor of New York, let alone of South Bend, India. 71 00:03:43,240 --> 00:03:46,360 Speaker 1: We also never we'd also never elected a game show host. 72 00:03:46,680 --> 00:03:49,080 Speaker 1: I mean, there's a lot of new things that can 73 00:03:49,120 --> 00:03:54,160 Speaker 1: happen reality. But I think that people forget that Donald 74 00:03:54,160 --> 00:03:57,600 Speaker 1: Trump was so week because he's had about hundred percent 75 00:03:57,680 --> 00:04:03,360 Speaker 1: name recognition in the country since Judge that people are 76 00:04:03,360 --> 00:04:06,720 Speaker 1: just hearing about for the first time now. So listen 77 00:04:06,800 --> 00:04:08,840 Speaker 1: in your piece in the Examiner and we'll have a 78 00:04:08,840 --> 00:04:11,200 Speaker 1: link to it so folks can find it easily. It's 79 00:04:11,600 --> 00:04:15,440 Speaker 1: quite informative. You also talk about a guy who is 80 00:04:15,560 --> 00:04:20,039 Speaker 1: the number one name people tell us, guys, you've got 81 00:04:20,080 --> 00:04:21,960 Speaker 1: to get this guy on and talk to him. He's 82 00:04:22,000 --> 00:04:23,960 Speaker 1: running as a Democrat, but I think it'll be interested. 83 00:04:24,120 --> 00:04:27,440 Speaker 1: And that's entrepreneur Andrew Yang tell us about Mr Yang. 84 00:04:28,960 --> 00:04:33,360 Speaker 1: So Yang's essential premise of running is on a one 85 00:04:33,440 --> 00:04:37,640 Speaker 1: tho dollar universal basic income up and pay pay out 86 00:04:38,160 --> 00:04:42,400 Speaker 1: called the Freedom Dividends. And Yang's campaign is very interestingly, 87 00:04:42,600 --> 00:04:47,400 Speaker 1: it's it's extremely technocratic. So you can find like more 88 00:04:47,440 --> 00:04:52,120 Speaker 1: than seventy different policy proposals, ranging from a Mall Act 89 00:04:52,640 --> 00:04:58,840 Speaker 1: which dedicates some six million dollars to renovating American malls 90 00:04:58,960 --> 00:05:03,600 Speaker 1: or reappropriating Then theusizzle thing is is reckoning with the 91 00:05:03,720 --> 00:05:06,840 Speaker 1: creative destruction of automation. And I do think it's very 92 00:05:06,880 --> 00:05:11,400 Speaker 1: interesting because this is so both Bag and Yang aren't 93 00:05:11,480 --> 00:05:15,120 Speaker 1: running on a lot of why people cared about Trump, right, 94 00:05:15,160 --> 00:05:18,200 Speaker 1: which is just I really think a great idea, But 95 00:05:18,320 --> 00:05:21,320 Speaker 1: it just talking about that on Monday, why the Mueller report. 96 00:05:21,360 --> 00:05:23,600 Speaker 1: He's saying, you know, instead of talking about that, why 97 00:05:23,600 --> 00:05:26,760 Speaker 1: don't why aren't we discussing why people voted for Donald 98 00:05:26,800 --> 00:05:30,320 Speaker 1: Trump and and reaching out to those people. That's obviously 99 00:05:30,360 --> 00:05:34,560 Speaker 1: a good idea. I mean, democratic leadership couldn't fathom the 100 00:05:34,640 --> 00:05:37,479 Speaker 1: idea that maybe people voted for Donald Trump and maybe 101 00:05:37,480 --> 00:05:40,240 Speaker 1: people killed Donald Trump in the primary because they were 102 00:05:40,320 --> 00:05:44,000 Speaker 1: tired of the neoliberal policies that brought the country to 103 00:05:44,080 --> 00:05:46,839 Speaker 1: the place you were in sixteen. They could not reckon 104 00:05:46,920 --> 00:05:49,320 Speaker 1: with the idea said Hillary Clinton, which is seen nakuly 105 00:05:49,360 --> 00:05:52,960 Speaker 1: that's candidate and focused on running a good candidate. Instead, 106 00:05:53,240 --> 00:05:55,520 Speaker 1: they have to blame it on something. They have to 107 00:05:55,520 --> 00:05:58,479 Speaker 1: blame it on a fourth outside of voter's conscience. And 108 00:05:58,520 --> 00:06:00,560 Speaker 1: I say, this is someone who's just not for Trump, 109 00:06:00,960 --> 00:06:04,599 Speaker 1: But I am very supportive of neoliberal free trade in 110 00:06:04,600 --> 00:06:07,240 Speaker 1: a way that Donald Trump isn't. But the fact is 111 00:06:07,279 --> 00:06:09,800 Speaker 1: that she resonates a lot of American But the thing 112 00:06:09,839 --> 00:06:13,200 Speaker 1: that Andrew Yang gets right is that an eight percent 113 00:06:13,279 --> 00:06:16,400 Speaker 1: of manufacturing jobs that have been lost in recent history 114 00:06:16,800 --> 00:06:19,640 Speaker 1: hasn't been lost to trade. They've been lost to automation. 115 00:06:20,080 --> 00:06:23,479 Speaker 1: And that's if people need to start reckoning less. Yeah, 116 00:06:23,480 --> 00:06:25,880 Speaker 1: that's a really interesting point too. And I know he's 117 00:06:25,920 --> 00:06:30,360 Speaker 1: all concerned about climate change and his answers deregulate nuclear energy. 118 00:06:30,360 --> 00:06:33,400 Speaker 1: We need more nukes, So that's pretty unconventional as well. 119 00:06:34,279 --> 00:06:40,159 Speaker 1: It shouldn't be. I mean, the original champion of nuclear 120 00:06:40,200 --> 00:06:43,719 Speaker 1: power was Margaret Thatcher. And the reason why nuclear became 121 00:06:43,800 --> 00:06:46,599 Speaker 1: so politicized by the least was because it was a 122 00:06:46,640 --> 00:06:49,880 Speaker 1: great way of dismantling the Cool Union in the seventies. 123 00:06:50,320 --> 00:06:54,000 Speaker 1: And now who is the number one champion against nuclear 124 00:06:54,360 --> 00:06:58,120 Speaker 1: the renewables industry because they understand that renewable from defenses 125 00:06:58,560 --> 00:07:04,160 Speaker 1: inefficient and they of acquire more government rate. Interesting. Tiana Low, 126 00:07:04,240 --> 00:07:07,240 Speaker 1: commentary writer for The Washington Examiner. Tiana, you are a 127 00:07:07,480 --> 00:07:10,560 Speaker 1: thoughtful woman. We enjoyed the chat very much. I hope 128 00:07:10,560 --> 00:07:14,360 Speaker 1: we can do it again. Thank you, no, thank you. 129 00:07:14,640 --> 00:07:18,200 Speaker 1: So listen the butter Jug and Yang thing number one, 130 00:07:18,560 --> 00:07:23,800 Speaker 1: I like the feel of I really disagree with several issues, 131 00:07:24,040 --> 00:07:27,480 Speaker 1: and and I really don't want them to be president 132 00:07:27,560 --> 00:07:30,200 Speaker 1: for a couple of different reasons. But I find them 133 00:07:30,240 --> 00:07:34,000 Speaker 1: to be thoroughly likable and decent human beings. There's no 134 00:07:34,080 --> 00:07:38,120 Speaker 1: need to demonize Pete buttera Jage just because he has 135 00:07:38,160 --> 00:07:41,360 Speaker 1: a rather bizarre progressive view of what freedom is, which 136 00:07:41,360 --> 00:07:46,520 Speaker 1: I'll explain to you in a bit um. It's dangerous, um. 137 00:07:46,560 --> 00:07:50,160 Speaker 1: But I don't think he's an insipious human being. I 138 00:07:50,200 --> 00:07:52,920 Speaker 1: just think his ideas are bad, and I'm perfectly comfortable 139 00:07:52,960 --> 00:07:55,200 Speaker 1: meeting him on the field of ideas and you know, 140 00:07:55,240 --> 00:07:57,800 Speaker 1: going back and forth. But these two guys. Joe Biden, 141 00:07:57,880 --> 00:08:00,520 Speaker 1: on the other hand, he's the devil's spawn again. I 142 00:08:00,600 --> 00:08:03,200 Speaker 1: followed as a sport. Who's the best political animal? These 143 00:08:03,200 --> 00:08:06,960 Speaker 1: guys running and talking about issues like bringing back nuclear 144 00:08:07,120 --> 00:08:09,920 Speaker 1: power or or or whatever, you know, whatever issue you're 145 00:08:09,960 --> 00:08:12,280 Speaker 1: gonna talk about, how to deal with the incredibly rapid 146 00:08:12,360 --> 00:08:16,320 Speaker 1: change technology brings. Yeah, yeah, that Buddages was just talking 147 00:08:16,320 --> 00:08:20,000 Speaker 1: about in that clip we played as opposed to the 148 00:08:20,040 --> 00:08:24,840 Speaker 1: president's a racist? Is your speech right? Um? Right? Gotta 149 00:08:24,920 --> 00:08:30,000 Speaker 1: be good, doesn't it. If it's not, we're screwed. Yeah, 150 00:08:30,240 --> 00:08:34,720 Speaker 1: we're screwed. We're screwed. We're doomed if you if you 151 00:08:34,720 --> 00:08:37,400 Speaker 1: can get the nomination mostly running on the other sides, 152 00:08:37,440 --> 00:08:43,360 Speaker 1: a bunch of racists or evil as opposed to bringing 153 00:08:43,360 --> 00:08:45,199 Speaker 1: back nuclear power, whatever issue to do is you want 154 00:08:45,200 --> 00:08:48,599 Speaker 1: to argue about, sure, or just in general, our giant, bloated, 155 00:08:48,760 --> 00:08:52,040 Speaker 1: idiotic federal government is doing nothing to help the American 156 00:08:52,080 --> 00:08:56,000 Speaker 1: people deal with twenty one century challenges. I think that 157 00:08:56,080 --> 00:08:58,720 Speaker 1: might explain that the vote for Trumps, as well as 158 00:08:58,720 --> 00:09:02,160 Speaker 1: any descriptions not well, I didn't know so many Americans 159 00:09:02,160 --> 00:09:04,720 Speaker 1: were racist. If you're if you're running on that, maybe 160 00:09:04,760 --> 00:09:06,800 Speaker 1: I should keep my mouth shut. If you're running on that, 161 00:09:06,840 --> 00:09:11,400 Speaker 1: you're gonna lose. When you're ready to ride Metro, we 162 00:09:11,480 --> 00:09:13,920 Speaker 1: want you to know we're ready for you. Here are 163 00:09:14,000 --> 00:09:15,880 Speaker 1: just a few of the people at Metro to tell 164 00:09:15,920 --> 00:09:18,280 Speaker 1: you how we're doing our part to keep riders safe. 165 00:09:18,520 --> 00:09:21,720 Speaker 1: We clean you like never before. To the Great Queen, 166 00:09:22,200 --> 00:09:26,280 Speaker 1: you've found hands down of thuns of stations Metro, no mask, 167 00:09:26,800 --> 00:09:30,160 Speaker 1: no Metro need once. We have a few extras at Metro. 168 00:09:30,480 --> 00:09:33,040 Speaker 1: We're doing our part to keep the DC area moving. 169 00:09:33,280 --> 00:09:35,680 Speaker 1: Find out more at well mata dot com slash doing 170 00:09:35,720 --> 00:09:36,160 Speaker 1: our part