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Look, I think the good news but Joe 11 00:00:38,400 --> 00:00:41,040 Speaker 1: Biden is this was maybe the best he could do. 12 00:00:41,800 --> 00:00:43,680 Speaker 1: And the bad news is this maybe the best he 13 00:00:43,720 --> 00:00:49,240 Speaker 1: could do. That's David axel Rod and David axe Rod 14 00:00:49,280 --> 00:00:52,879 Speaker 1: ran Obama's campaign. Joe Scarborough on Morning Joe had this 15 00:00:52,960 --> 00:00:55,080 Speaker 1: to say, give me a prey. I don't have an 16 00:00:55,120 --> 00:01:01,360 Speaker 1: You people, Donald trop and you're talking about defending Obamacare. 17 00:01:02,000 --> 00:01:08,760 Speaker 1: It's Republican talking points. Who is advising you? Wow? A 18 00:01:08,760 --> 00:01:11,360 Speaker 1: lot of beating up on the Obama Ara policies on 19 00:01:11,440 --> 00:01:13,760 Speaker 1: the debate stage last night. Well, they're going after that 20 00:01:14,120 --> 00:01:18,120 Speaker 1: three percent of Democrats that didn't like Barack Obama exactly. 21 00:01:18,240 --> 00:01:21,200 Speaker 1: Finally they get the pummeling they deserve. Lan he Chen 22 00:01:21,360 --> 00:01:24,080 Speaker 1: joins us. Lan He is a David and Diane Stephy 23 00:01:24,160 --> 00:01:27,040 Speaker 1: research Fellow at the Whoever Institution, Director of Domestic Policy 24 00:01:27,080 --> 00:01:30,399 Speaker 1: Studies and Lecture in Public Policy at Stanford University. Lan 25 00:01:30,440 --> 00:01:33,880 Speaker 1: he how are you, sir, Oh, I'm doing fine. Nothing 26 00:01:33,920 --> 00:01:35,560 Speaker 1: like two nights of debates to get you going in 27 00:01:35,560 --> 00:01:38,280 Speaker 1: the morning. Tell you what. I feel, re energized and 28 00:01:38,360 --> 00:01:41,920 Speaker 1: just more in love with life than ever. So what 29 00:01:42,200 --> 00:01:44,640 Speaker 1: stood out most to you? What's what's on the tip 30 00:01:44,680 --> 00:01:48,480 Speaker 1: of your tongue this morning? Debate? Wise? Well, I think 31 00:01:48,480 --> 00:01:51,560 Speaker 1: it's interesting. You know, the candidates had two nights to present. 32 00:01:51,800 --> 00:01:54,200 Speaker 1: You know, what I would say is a vision for 33 00:01:54,680 --> 00:01:57,520 Speaker 1: how they plan to govern, how they plan to maybe 34 00:01:57,560 --> 00:02:01,600 Speaker 1: even defeat Donald Trump, and instead, especially last night, they 35 00:02:01,640 --> 00:02:04,200 Speaker 1: really spent their time attacking one another. I thought last 36 00:02:04,280 --> 00:02:08,600 Speaker 1: night was really interesting because everyone's coming after Joe Biden, 37 00:02:08,720 --> 00:02:12,360 Speaker 1: then Kamala Harris gets attacked, and then kind of inexplicably, 38 00:02:12,440 --> 00:02:15,960 Speaker 1: Joe Biden attacks Corey Booker, and it was just a 39 00:02:16,040 --> 00:02:19,560 Speaker 1: very bizarre confluence of events when when I thought it 40 00:02:19,560 --> 00:02:21,800 Speaker 1: was going to be a much more substantive conversation. I 41 00:02:21,840 --> 00:02:24,000 Speaker 1: really thought it was a lot more of a scrum, 42 00:02:24,040 --> 00:02:25,880 Speaker 1: and I don't know that's going to serve the Democrats 43 00:02:25,880 --> 00:02:27,200 Speaker 1: well in the long run. So I thought it was 44 00:02:27,240 --> 00:02:29,480 Speaker 1: a little puzzling from that perspective. Well do you do 45 00:02:29,520 --> 00:02:31,359 Speaker 1: you blame? The candidates? Are? A lot of people are 46 00:02:31,360 --> 00:02:34,840 Speaker 1: blaming CNN. They're they're taking a beating from MSNBC in 47 00:02:34,880 --> 00:02:37,760 Speaker 1: The Washington Post has a whole column about that. What's 48 00:02:37,760 --> 00:02:40,640 Speaker 1: with this? Pitting each other? Them against each other? Every 49 00:02:40,720 --> 00:02:43,440 Speaker 1: question is set up a she said something bad about you, 50 00:02:43,440 --> 00:02:45,600 Speaker 1: You said something about her. Now you argue, I mean, 51 00:02:45,639 --> 00:02:49,840 Speaker 1: what what is that? Well, here's my thing. The first 52 00:02:49,919 --> 00:02:52,560 Speaker 1: rule in politics is you don't answer the question, so 53 00:02:52,680 --> 00:02:54,560 Speaker 1: you don't have to take the bait. I mean why 54 00:02:54,600 --> 00:02:56,240 Speaker 1: these guys take the bait and it's like, oh, well, 55 00:02:56,320 --> 00:02:58,040 Speaker 1: Joe Biden to this about you a great, I'm gonna 56 00:02:58,040 --> 00:03:01,480 Speaker 1: attack Joe Biden. The reality is that the person who 57 00:03:01,720 --> 00:03:03,560 Speaker 1: I thought that the most to lose last night was 58 00:03:03,680 --> 00:03:07,400 Speaker 1: Joe Biden. And I know the conventional wisdom as well. Okay, look, 59 00:03:07,400 --> 00:03:09,919 Speaker 1: he didn't do that badly. Let's be honest, he didn't 60 00:03:09,919 --> 00:03:12,320 Speaker 1: do all that great either. I mean, if if if 61 00:03:12,320 --> 00:03:15,680 Speaker 1: you watch that debate and you see Joe Biden punching again, 62 00:03:15,760 --> 00:03:17,960 Speaker 1: punching down at Corey book of the first rule that 63 00:03:18,000 --> 00:03:20,960 Speaker 1: we always use with candidates and debate preparation. When I've 64 00:03:21,000 --> 00:03:23,600 Speaker 1: been in dozens of these meetings, if you don't punch down, 65 00:03:23,600 --> 00:03:25,720 Speaker 1: if you're the front runner, why do you punch down? 66 00:03:26,120 --> 00:03:28,760 Speaker 1: And so in my mind, for Joe Biden last night, 67 00:03:29,440 --> 00:03:31,280 Speaker 1: it may have been a better performance in the first 68 00:03:31,280 --> 00:03:32,840 Speaker 1: time he went out there, but gosh, if that's the 69 00:03:32,880 --> 00:03:36,000 Speaker 1: best he can do, I think his campaigns in trouble. Well, boy, 70 00:03:36,040 --> 00:03:37,920 Speaker 1: you and I are some of the few people saying 71 00:03:37,960 --> 00:03:41,800 Speaker 1: that I didn't think he was very impressive, but he 72 00:03:41,840 --> 00:03:45,640 Speaker 1: did avoid disaster. You know, you mentioned substance and policy, 73 00:03:45,720 --> 00:03:49,360 Speaker 1: and I've advocated for more of that in my whole life, 74 00:03:49,480 --> 00:03:52,680 Speaker 1: and I finally got it the last couple of nights, 75 00:03:52,720 --> 00:03:57,320 Speaker 1: and I found myself just mystified and bored by the 76 00:03:57,600 --> 00:04:02,040 Speaker 1: endless recitation of the minor differences between various people's health 77 00:04:02,080 --> 00:04:07,760 Speaker 1: care policies. I like substance, But how did this strike you? Yeah? 78 00:04:07,840 --> 00:04:10,520 Speaker 1: I thought the health care discussion dived into the weeds 79 00:04:10,680 --> 00:04:13,920 Speaker 1: quite quickly. I mean, look that the reality is that 80 00:04:14,080 --> 00:04:17,920 Speaker 1: there are very stark differences between what someone like Joe 81 00:04:17,920 --> 00:04:20,640 Speaker 1: Biden and what someone like Kamala Harris want to do 82 00:04:20,680 --> 00:04:24,440 Speaker 1: with healthcare. And they could have made those things abundantly clear, 83 00:04:24,520 --> 00:04:26,599 Speaker 1: while at the same time, by the way, pointing out 84 00:04:26,600 --> 00:04:29,160 Speaker 1: the differences between what they want to do and what 85 00:04:29,200 --> 00:04:32,240 Speaker 1: they allege Republicans want to do. But instead they were 86 00:04:32,279 --> 00:04:35,039 Speaker 1: talking about this percentage of people and that percentage of 87 00:04:35,040 --> 00:04:36,920 Speaker 1: people on this element of the plan, and that all 88 00:04:36,960 --> 00:04:39,360 Speaker 1: on the plan. So I did think they get lost 89 00:04:39,440 --> 00:04:42,359 Speaker 1: in the weeds really quickly, and and there I do 90 00:04:42,480 --> 00:04:44,800 Speaker 1: blame the moderators a little bit, and the moderators could 91 00:04:44,800 --> 00:04:47,080 Speaker 1: have jumped in and tried to pull them out of 92 00:04:47,120 --> 00:04:49,760 Speaker 1: the weeds. But you're right, I think the conversation got 93 00:04:49,800 --> 00:04:52,440 Speaker 1: way more specific than most Americans cared to hear about, 94 00:04:52,440 --> 00:04:54,760 Speaker 1: even those who like policy. I know we talked about 95 00:04:54,760 --> 00:04:57,360 Speaker 1: this before the first debate started. How much do these 96 00:04:57,400 --> 00:05:00,640 Speaker 1: debates matter. There's not a lot of da to show 97 00:05:00,680 --> 00:05:03,919 Speaker 1: that they move the needle much that the polls move much. 98 00:05:03,960 --> 00:05:05,560 Speaker 1: Maybe for a day or twobe and they kind of 99 00:05:05,560 --> 00:05:08,680 Speaker 1: settled back. There are a couple of examples of people 100 00:05:09,760 --> 00:05:12,720 Speaker 1: when Rick Perry couldn't name, you know, the main departments. 101 00:05:12,760 --> 00:05:15,560 Speaker 1: I think that really damaged him, But there are very 102 00:05:15,560 --> 00:05:18,760 Speaker 1: few examples. And then I saw an article today Laundry 103 00:05:18,800 --> 00:05:22,080 Speaker 1: listing all of the times Hillary Clinton has want a debate, 104 00:05:22,200 --> 00:05:25,360 Speaker 1: Like practically every debate she's ever been in she won. 105 00:05:25,520 --> 00:05:28,120 Speaker 1: She's had like one gaff in her entire career, yet 106 00:05:28,200 --> 00:05:33,960 Speaker 1: she lost repeatedly running for president. So what do they matter? Well, 107 00:05:34,000 --> 00:05:36,320 Speaker 1: I think you raise a very good point, which is 108 00:05:36,760 --> 00:05:40,839 Speaker 1: what generally happens with these debates is they create temporary 109 00:05:40,960 --> 00:05:46,200 Speaker 1: changes in temporary shifts in how voters view various candidates, 110 00:05:46,200 --> 00:05:50,360 Speaker 1: but they don't have lasting changes necessarily in the scope 111 00:05:50,400 --> 00:05:52,920 Speaker 1: and the nature of the race. Now, what they can 112 00:05:53,000 --> 00:05:57,520 Speaker 1: do is, in this situation, they can create uh, sort 113 00:05:57,520 --> 00:06:00,520 Speaker 1: of a buzz around a candidate who maybe nobody was 114 00:06:00,520 --> 00:06:03,679 Speaker 1: paying attention to. So Julian Castro got his five minutes 115 00:06:03,720 --> 00:06:06,360 Speaker 1: of fame out of the first debate. In the second debate, 116 00:06:06,400 --> 00:06:09,200 Speaker 1: you know, you could argue that, um, there were others 117 00:06:09,240 --> 00:06:12,080 Speaker 1: potentially like Corey Booker, who may have benefited. But in 118 00:06:12,120 --> 00:06:15,000 Speaker 1: the long run, I'm not really convinced the debates matter 119 00:06:15,040 --> 00:06:17,719 Speaker 1: a whole ton in terms of the atmospherics of the 120 00:06:17,800 --> 00:06:20,080 Speaker 1: race and where things are headed. Biden is still going 121 00:06:20,120 --> 00:06:21,800 Speaker 1: to be the front runner. You're still going to have 122 00:06:21,839 --> 00:06:23,599 Speaker 1: a pack of three or four that are in that 123 00:06:23,720 --> 00:06:26,520 Speaker 1: next group that are nipping at his heels. And I 124 00:06:26,560 --> 00:06:29,839 Speaker 1: don't think that changes very much. When it could change potentially, 125 00:06:29,880 --> 00:06:31,719 Speaker 1: as when we get down to two or three people 126 00:06:31,760 --> 00:06:34,039 Speaker 1: in the debates, then if someone has a very good 127 00:06:34,080 --> 00:06:36,520 Speaker 1: performance or a very bad performance, it could affect things. 128 00:06:36,560 --> 00:06:38,960 Speaker 1: But for now, at least, I do think as steady 129 00:06:39,000 --> 00:06:42,280 Speaker 1: as she goes lanh chen is with the Hoover Institution 130 00:06:42,440 --> 00:06:46,479 Speaker 1: and Stanford University. Listen, I'm going to make a number 131 00:06:46,480 --> 00:06:50,200 Speaker 1: of very wobbly assumptions and leap right to Biden versus 132 00:06:50,240 --> 00:06:54,960 Speaker 1: Donald J. Trump on stage debating. Uh, Trump's gonna go 133 00:06:55,240 --> 00:06:59,200 Speaker 1: mean Biden is going to try to be the ah 134 00:06:59,279 --> 00:07:01,320 Speaker 1: shucks every And how do you see that plan out? 135 00:07:01,360 --> 00:07:05,640 Speaker 1: Any idea? Well? You know here, here here's the thing. 136 00:07:05,760 --> 00:07:09,840 Speaker 1: I mean. Trump is very very skilled in these debate contexts, 137 00:07:10,120 --> 00:07:13,240 Speaker 1: and and I just don't think that people realize that 138 00:07:13,400 --> 00:07:17,520 Speaker 1: he is able to use um elements of his rhetoric, 139 00:07:17,680 --> 00:07:20,280 Speaker 1: elements of his now his record as president. I think 140 00:07:20,320 --> 00:07:23,720 Speaker 1: he's gonna use that very effectively. I think Biden, if 141 00:07:23,760 --> 00:07:26,000 Speaker 1: anything in the last couple of debates has shown that 142 00:07:26,720 --> 00:07:30,280 Speaker 1: he's just a step slower then he was. You know, 143 00:07:30,320 --> 00:07:32,840 Speaker 1: the last time I really remember him on debate stage, obviously, 144 00:07:32,880 --> 00:07:35,920 Speaker 1: was in twelve when he was in that VP debate 145 00:07:35,960 --> 00:07:37,840 Speaker 1: against Paul Ryan. I think that's the last time he 146 00:07:38,200 --> 00:07:42,120 Speaker 1: debated before this, seven years ago. And yeah, it's seven 147 00:07:42,200 --> 00:07:44,040 Speaker 1: years ago. And what you realize is if you go 148 00:07:44,160 --> 00:07:46,080 Speaker 1: I would encourage people go back and watch some of 149 00:07:46,120 --> 00:07:49,680 Speaker 1: that tape. The Joe Biden from seven years ago very 150 00:07:49,760 --> 00:07:51,640 Speaker 1: different than the Joe Biden that we've seen in the 151 00:07:51,680 --> 00:07:53,640 Speaker 1: last two debates. And I do think he's gotten a 152 00:07:53,680 --> 00:07:56,720 Speaker 1: step flower And I wonder what it's gonna look like 153 00:07:56,720 --> 00:08:00,120 Speaker 1: when he's debating Trump, because Trump is gonna be relatively nimble, 154 00:08:00,200 --> 00:08:04,200 Speaker 1: relatively agile, and and Biden may be able to CounterPunch, 155 00:08:04,240 --> 00:08:06,040 Speaker 1: but is he gonna be able to do it effectively? 156 00:08:06,120 --> 00:08:08,960 Speaker 1: I'm just not sure. I'm convinced, based on what I've 157 00:08:08,960 --> 00:08:11,320 Speaker 1: seen the last two nights or the last two debates, 158 00:08:11,560 --> 00:08:13,680 Speaker 1: that he's gonna be a great counterpuncher. And I think 159 00:08:13,800 --> 00:08:16,120 Speaker 1: that you've got to be a great counterpuncher, and you've 160 00:08:16,120 --> 00:08:17,680 Speaker 1: got to be able to think about ways to put 161 00:08:17,680 --> 00:08:19,840 Speaker 1: Trump on the defensive if you're gonna go up against it, 162 00:08:19,920 --> 00:08:22,160 Speaker 1: I'm just not sure Biden can do that. If you 163 00:08:22,200 --> 00:08:24,960 Speaker 1: were advising Kamala Harris prepping her, what would you say 164 00:08:24,960 --> 00:08:30,320 Speaker 1: about last night's debate performance or her performances in general. Yeah, 165 00:08:30,320 --> 00:08:32,920 Speaker 1: I think I think she's been fine. Um. I think 166 00:08:33,000 --> 00:08:36,920 Speaker 1: that that her problem is that at some point her 167 00:08:36,920 --> 00:08:41,120 Speaker 1: rejoinder was always, well, those are Republican talking points, and 168 00:08:41,200 --> 00:08:44,440 Speaker 1: it's like, yeah, there Republican talking points, but there's some 169 00:08:44,559 --> 00:08:47,120 Speaker 1: truth to the matter in other words, And Republicans say 170 00:08:47,160 --> 00:08:49,400 Speaker 1: your plan is going to kick hundreds of millions of 171 00:08:49,400 --> 00:08:51,920 Speaker 1: people off their health insurance. You know you gotta have 172 00:08:51,960 --> 00:08:53,960 Speaker 1: an answer for that, right. You gotta tell us why 173 00:08:54,000 --> 00:08:55,800 Speaker 1: it is that your plan is not going to decimate 174 00:08:55,800 --> 00:08:58,280 Speaker 1: private health insurance. It will, by the way. Uh, you've 175 00:08:58,280 --> 00:09:00,760 Speaker 1: got to be able to tell us why your criminal 176 00:09:00,840 --> 00:09:04,880 Speaker 1: justice record as as d A doesn't square now with 177 00:09:04,960 --> 00:09:07,760 Speaker 1: what you're saying you want to do as president. You've 178 00:09:07,800 --> 00:09:09,440 Speaker 1: got to be able to answer these kinds of tough 179 00:09:09,480 --> 00:09:12,120 Speaker 1: questions without sort of going, well, they're just Republican talking points. 180 00:09:12,440 --> 00:09:15,160 Speaker 1: And I think for now it's an interesting line. People 181 00:09:15,200 --> 00:09:17,280 Speaker 1: in the crowd like it. But it's gonna get old, 182 00:09:17,320 --> 00:09:20,120 Speaker 1: So she's gonna have to really have a substantive set 183 00:09:20,120 --> 00:09:23,640 Speaker 1: of responses to some of these challenges. And I think 184 00:09:23,720 --> 00:09:27,800 Speaker 1: she's got to better articulate what her theory of the 185 00:09:27,880 --> 00:09:30,320 Speaker 1: case is. Why is it that she thinks she can 186 00:09:30,360 --> 00:09:32,400 Speaker 1: beat Donald Trump? Why is it that she thinks she's 187 00:09:32,440 --> 00:09:35,120 Speaker 1: got a better vision for America? And that hasn't really 188 00:09:35,120 --> 00:09:37,400 Speaker 1: come through in the last two debates. She I saw 189 00:09:37,440 --> 00:09:39,600 Speaker 1: her pretty low and a likability pull the other day. 190 00:09:39,640 --> 00:09:42,000 Speaker 1: She needs to come up with a second tone. She 191 00:09:42,080 --> 00:09:46,200 Speaker 1: has one tone and if she retrieved, angry is self righteous. 192 00:09:46,240 --> 00:09:48,280 Speaker 1: Sometimes I see stuff where she's like at a coffee 193 00:09:48,280 --> 00:09:50,040 Speaker 1: shop or something talking to people and she's got kind 194 00:09:50,120 --> 00:09:52,720 Speaker 1: of this giggly schoolgirl thing going that's very appealing, But 195 00:09:52,840 --> 00:09:56,720 Speaker 1: on the stage it's just always the same tone. Well, 196 00:09:56,720 --> 00:09:58,520 Speaker 1: listen to Jack the section, um you want her in? 197 00:09:58,760 --> 00:10:00,679 Speaker 1: What a school girl out for it? Or what? I 198 00:10:00,800 --> 00:10:05,240 Speaker 1: just I'm shocked for this. Sorry you go ahead. I 199 00:10:05,360 --> 00:10:07,520 Speaker 1: was gonna say. I think I think it is a 200 00:10:07,559 --> 00:10:10,080 Speaker 1: little bit of a problem for her in that in 201 00:10:10,120 --> 00:10:13,199 Speaker 1: that she she doesn't seem to have multiple gears, as 202 00:10:13,240 --> 00:10:16,600 Speaker 1: it were, and be effective in a campaign, you will 203 00:10:16,720 --> 00:10:18,559 Speaker 1: need to have that nuance and be able to shift 204 00:10:18,600 --> 00:10:20,439 Speaker 1: into different gears at different times. So we'll have to 205 00:10:20,480 --> 00:10:22,760 Speaker 1: see if she develops that as a campaign goes on one. 206 00:10:22,840 --> 00:10:26,800 Speaker 1: He who among the like the third tier people, the 207 00:10:26,920 --> 00:10:32,240 Speaker 1: one to two percenters, has impressed you lately? Okay, So 208 00:10:32,320 --> 00:10:34,640 Speaker 1: I'll say this. I thought the first night Steve Bullock, 209 00:10:34,800 --> 00:10:39,040 Speaker 1: the governor of Montana, was was actually quite effective because 210 00:10:39,200 --> 00:10:41,640 Speaker 1: of his case is, Look, I'm the only Democrat up 211 00:10:41,640 --> 00:10:43,679 Speaker 1: here who's one in a state that Trump won. That's 212 00:10:43,679 --> 00:10:46,120 Speaker 1: pretty darn compellent. I mean, if I'm a Democrat who 213 00:10:46,160 --> 00:10:48,560 Speaker 1: wants electability, why not go for a guy who's been 214 00:10:48,600 --> 00:10:51,640 Speaker 1: a governor who's got, you know, some some good plans 215 00:10:51,679 --> 00:10:56,200 Speaker 1: that seem relatively reasonable, who has got some progressive streaks. 216 00:10:56,760 --> 00:10:58,520 Speaker 1: Why not go for a guy like that? So I 217 00:10:58,679 --> 00:11:02,600 Speaker 1: Bullock has been good and by the same token, Um Bennett, 218 00:11:02,640 --> 00:11:04,960 Speaker 1: the Senator from Colorado last night, I thought did a 219 00:11:05,000 --> 00:11:08,560 Speaker 1: great job of going up against the more liberal policies. 220 00:11:08,600 --> 00:11:11,720 Speaker 1: Particularly that meant I thought he was pretty effect right. 221 00:11:11,800 --> 00:11:14,280 Speaker 1: But he's got a voice like a cartoon barrel on here, 222 00:11:14,400 --> 00:11:16,959 Speaker 1: so that's gonna hurt him. Heyst that's going to be 223 00:11:16,960 --> 00:11:18,920 Speaker 1: a problem. We'd love to talk to you all day. 224 00:11:18,960 --> 00:11:22,040 Speaker 1: We're out of time, but lanhy Chen of the Hoover Institution, 225 00:11:22,160 --> 00:11:25,559 Speaker 1: Stanford University, Uh, it's always great to talk to you, 226 00:11:25,640 --> 00:11:29,200 Speaker 1: and we'll talk again soon. Thanking our plus Sean do 227 00:11:29,320 --> 00:11:32,520 Speaker 1: your do your Governor Bennett voice? Oh hi, I think 228 00:11:32,559 --> 00:11:35,560 Speaker 1: we should just all get together and have a nice picnic. 229 00:11:36,120 --> 00:11:42,840 Speaker 1: Sounds like a cartoon. Isn't this great? Everybody? The real 230 00:11:42,920 --> 00:11:47,520 Speaker 1: lesson is the friends we made along the way. Now 231 00:11:47,600 --> 00:11:51,680 Speaker 1: let's have a delicious picnic. Yeah, he can't help, but 232 00:11:51,760 --> 00:11:57,600 Speaker 1: this is you're not gonna get this analysis CNN if 233 00:11:57,640 --> 00:12:02,079 Speaker 1: you're not and getty. Whether you host a nightly dinner 234 00:12:02,080 --> 00:12:05,199 Speaker 1: party for two or five, keeping your eating and dining 235 00:12:05,280 --> 00:12:07,920 Speaker 1: area clean helps keep your mind on the dinner party 236 00:12:08,040 --> 00:12:11,240 Speaker 1: and not on the clean up afterwards. 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