1 00:00:00,560 --> 00:00:08,079 Speaker 1: The Armstrong and Getty Show. Sir, if you were to 2 00:00:08,119 --> 00:00:11,560 Speaker 1: win the election, would you be willing to commit to 3 00:00:11,600 --> 00:00:15,880 Speaker 1: not point a president forward in giving Donald Trump a 4 00:00:15,920 --> 00:00:21,040 Speaker 1: pardon under the pretense of healing the nation? In other words, 5 00:00:21,079 --> 00:00:24,279 Speaker 1: are you willing to commit to the American ideal that 6 00:00:24,440 --> 00:00:29,400 Speaker 1: no one is above the law? Absolutely, yes, I'd commit. 7 00:00:31,480 --> 00:00:34,000 Speaker 1: So that's Joe Biden from his town hall last night, 8 00:00:34,040 --> 00:00:36,800 Speaker 1: and I thought that was amazing. So most of the 9 00:00:36,800 --> 00:00:39,920 Speaker 1: media I'm taking in is fairly obsessed and should be 10 00:00:40,040 --> 00:00:44,120 Speaker 1: this week about what did Biden know and when did 11 00:00:44,159 --> 00:00:46,560 Speaker 1: he know it? With what Trump is calling Obama Gate 12 00:00:46,640 --> 00:00:48,800 Speaker 1: and do we have a constitutional crisis here? In some 13 00:00:49,200 --> 00:00:52,240 Speaker 1: Jonathan truly called it the story of the century went 14 00:00:52,280 --> 00:00:55,840 Speaker 1: on with the the media and uh, you know, spying 15 00:00:55,840 --> 00:00:59,000 Speaker 1: on political opponents and that sort of stuff. But for 16 00:00:59,040 --> 00:01:01,240 Speaker 1: the other half of the country, the question is the 17 00:01:01,320 --> 00:01:04,080 Speaker 1: crimes of Donald Trump and will you pardon him? That's 18 00:01:04,080 --> 00:01:07,760 Speaker 1: what I'm worried about if you're elected president. Completely different 19 00:01:07,880 --> 00:01:11,160 Speaker 1: worlds we're living in. For the narrative, let's discuss with 20 00:01:11,240 --> 00:01:13,959 Speaker 1: Lana he Chen, David and Diane Stephy, research fellow at 21 00:01:13,959 --> 00:01:17,840 Speaker 1: the Hoover Institution, Director of Domestic Policy Studies at Stanford University. 22 00:01:17,920 --> 00:01:20,839 Speaker 1: Lana he how are you, sir, I'm fine, good morning. 23 00:01:21,080 --> 00:01:26,080 Speaker 1: So we're curious your take on the utterly divided perceptions 24 00:01:26,720 --> 00:01:30,920 Speaker 1: of the various groups of Americans and how do you 25 00:01:31,080 --> 00:01:34,880 Speaker 1: campaign in a country like that, and specifically, how do 26 00:01:34,920 --> 00:01:39,080 Speaker 1: you win over the persuadables while not freaking out your 27 00:01:39,120 --> 00:01:41,520 Speaker 1: base if your base, on the other base believe completely 28 00:01:41,560 --> 00:01:45,759 Speaker 1: different realities. Well, this is a really really important issue 29 00:01:45,800 --> 00:01:49,520 Speaker 1: you guys are covering, but the polarization of our society, everything, 30 00:01:49,680 --> 00:01:52,880 Speaker 1: every issue is viewed through a political lens. But I 31 00:01:52,920 --> 00:01:55,400 Speaker 1: don't care what it is, whether it's you know, reopening 32 00:01:55,400 --> 00:01:59,840 Speaker 1: the economy because of coronavirus, the issue of unmasking, which 33 00:01:59,880 --> 00:02:03,320 Speaker 1: is the whole controversy that you guys have been referencing around, uh, 34 00:02:03,360 --> 00:02:06,000 Speaker 1: you know, revealing the identities of those who asked about 35 00:02:06,160 --> 00:02:09,679 Speaker 1: A Flynn's identity or or or even you know, how 36 00:02:09,720 --> 00:02:12,760 Speaker 1: we view the stimulus bill that Congress is considering, whether 37 00:02:12,760 --> 00:02:15,400 Speaker 1: they should do it, whether it's just a big progressive 38 00:02:15,440 --> 00:02:18,320 Speaker 1: grab bag. I mean, all of these things are viewed 39 00:02:18,400 --> 00:02:22,239 Speaker 1: through a partisan lens, and it's tough in a campaign setting, 40 00:02:22,320 --> 00:02:24,399 Speaker 1: you know what, I think most of the candidates I've 41 00:02:24,440 --> 00:02:26,960 Speaker 1: talked to this cycle have decided on and this is 42 00:02:26,960 --> 00:02:30,400 Speaker 1: not going to be encouraging. They have basically decided. They 43 00:02:30,400 --> 00:02:32,639 Speaker 1: have basically decided they're going to go to their base, 44 00:02:33,160 --> 00:02:35,480 Speaker 1: and they're going to animate their base and make sure 45 00:02:35,520 --> 00:02:38,799 Speaker 1: their base shows up and you know, hope that they 46 00:02:38,840 --> 00:02:42,359 Speaker 1: collect just enough sort of independent minded people to get 47 00:02:42,400 --> 00:02:44,840 Speaker 1: them over the finish line. But they have decided, and 48 00:02:45,200 --> 00:02:47,880 Speaker 1: there are there are countless examples of this guy's whether 49 00:02:47,960 --> 00:02:52,880 Speaker 1: it's in contested Senate races around the country, congressional races. 50 00:02:52,919 --> 00:02:55,400 Speaker 1: They have decided they are going to do their best 51 00:02:55,960 --> 00:02:59,040 Speaker 1: to get enthusiasm up amongst those who are most likely 52 00:02:59,080 --> 00:03:02,000 Speaker 1: to support them and hope that that's enough, because it 53 00:03:02,120 --> 00:03:04,440 Speaker 1: is just to divide it. There is no nuance. You 54 00:03:04,520 --> 00:03:07,399 Speaker 1: can't walk the middle line. You're better off just going 55 00:03:07,440 --> 00:03:09,679 Speaker 1: to your base. And it's discouraging, but I think that's 56 00:03:09,720 --> 00:03:11,320 Speaker 1: where a lot of people are. Hey, I want to 57 00:03:11,360 --> 00:03:13,520 Speaker 1: stay big picture for a little while. But first, there 58 00:03:13,600 --> 00:03:17,079 Speaker 1: was a fellow or one buck back a Republican congressional 59 00:03:17,160 --> 00:03:19,880 Speaker 1: seat in California for the first time since Poncho Villa 60 00:03:20,000 --> 00:03:25,240 Speaker 1: was coming over the border. How did how did that happen? Um, 61 00:03:25,520 --> 00:03:27,160 Speaker 1: it's a combination of a lot of different things. First 62 00:03:27,200 --> 00:03:29,960 Speaker 1: of all, I think it demonstrates the value of having 63 00:03:29,960 --> 00:03:32,200 Speaker 1: a candidate who who at the end of the day, 64 00:03:32,360 --> 00:03:35,360 Speaker 1: is an effective candidate because of how they match up 65 00:03:35,400 --> 00:03:39,280 Speaker 1: with the demographics of a district, their ability to articulate 66 00:03:39,400 --> 00:03:43,960 Speaker 1: just a very very simple message. And in Mike Garcia's case, 67 00:03:44,000 --> 00:03:46,400 Speaker 1: who's the guy who won done in California twenty five 68 00:03:46,440 --> 00:03:49,600 Speaker 1: Senior Valley that sort of area. It was a combination 69 00:03:49,680 --> 00:03:53,839 Speaker 1: of a good candidate with a lot of anger at 70 00:03:53,920 --> 00:03:56,840 Speaker 1: the previous member of Congress who held that seat. I'm 71 00:03:56,840 --> 00:03:59,240 Speaker 1: sure you guys have covered the Katie Hill debacle. Yeah, 72 00:03:59,240 --> 00:04:03,160 Speaker 1: that was the naked don't sit my hotel furniture. Naked 73 00:04:03,280 --> 00:04:06,480 Speaker 1: was my main takeaway from that. Just or just or 74 00:04:06,520 --> 00:04:08,839 Speaker 1: just don't don't don't appear naked while being a member 75 00:04:08,880 --> 00:04:11,760 Speaker 1: of Congress. I mean probably good idea, generally good good rule. 76 00:04:12,120 --> 00:04:15,920 Speaker 1: So so combination of good candidate plus you know, kind 77 00:04:15,920 --> 00:04:21,000 Speaker 1: of disastrous situation with the previous officeholder, and and and 78 00:04:21,080 --> 00:04:23,160 Speaker 1: you know, I think Garcia did a good job quite 79 00:04:23,160 --> 00:04:25,000 Speaker 1: frankly to to the points discussion we were just having 80 00:04:25,600 --> 00:04:28,880 Speaker 1: of motivating the people in that district. Who in particular 81 00:04:29,400 --> 00:04:32,520 Speaker 1: felt that they either supported Trump or thought Trump was 82 00:04:32,520 --> 00:04:34,600 Speaker 1: getting a bad rap. And I think that there were 83 00:04:34,760 --> 00:04:37,160 Speaker 1: just enough of those people in a special election context 84 00:04:37,680 --> 00:04:40,600 Speaker 1: to to to get him across the finish line. Wow. Interesting. 85 00:04:40,680 --> 00:04:42,760 Speaker 1: I know that you've been involved in a bit of 86 00:04:42,760 --> 00:04:46,120 Speaker 1: a national discussion about opening up a particular around school, 87 00:04:46,160 --> 00:04:50,279 Speaker 1: but you know, were you mentioned the whole partisanship around 88 00:04:50,320 --> 00:04:53,360 Speaker 1: every issue. There's a doctor writing in the New York 89 00:04:53,400 --> 00:04:56,000 Speaker 1: Times today, an op ed piece from JOHNS Hopkins saying, 90 00:04:56,360 --> 00:04:58,440 Speaker 1: you know, I argued for closing down for a long 91 00:04:58,480 --> 00:05:01,120 Speaker 1: time now, and now I believe we've gone too far, 92 00:05:01,200 --> 00:05:03,760 Speaker 1: too long, the economy suffering, blah blah blah, and then 93 00:05:03,800 --> 00:05:05,839 Speaker 1: has to put a couple of paragraphs in the story 94 00:05:06,279 --> 00:05:08,520 Speaker 1: to make it clear that I realized that some of 95 00:05:08,560 --> 00:05:12,400 Speaker 1: you are sensitive to the political issues on this, as in, uh, 96 00:05:12,440 --> 00:05:15,240 Speaker 1: you're Trump, then you won't open the economy. You must 97 00:05:15,279 --> 00:05:17,320 Speaker 1: be a Trump supporter. And so immediately it's got to 98 00:05:17,360 --> 00:05:19,719 Speaker 1: be dismissed by the New York Times crowd. They had to, 99 00:05:19,839 --> 00:05:22,320 Speaker 1: they had to point that out. It makes it difficult 100 00:05:22,320 --> 00:05:25,400 Speaker 1: to have any conversation, it does. I mean, let me 101 00:05:25,400 --> 00:05:27,040 Speaker 1: give you, guys an example of this. So a couple 102 00:05:27,040 --> 00:05:29,840 Speaker 1: of days ago, I put out a series of tweets 103 00:05:29,880 --> 00:05:32,000 Speaker 1: that basically said, look, I think I think we do 104 00:05:32,120 --> 00:05:35,599 Speaker 1: need to really encourage the public, the public and private 105 00:05:35,680 --> 00:05:38,040 Speaker 1: K through twelfth schools to try to reopen this fall, 106 00:05:38,560 --> 00:05:40,640 Speaker 1: but not just reopen willy nilly. We've got to have 107 00:05:40,720 --> 00:05:43,159 Speaker 1: them think about, you know, issues like how do you 108 00:05:43,240 --> 00:05:46,640 Speaker 1: take care of faculty who might be in that sensitive 109 00:05:46,680 --> 00:05:49,080 Speaker 1: age category where they could suffer more, or kids who 110 00:05:49,080 --> 00:05:51,960 Speaker 1: have prexisting conditions. Let's let's open up the schools, but 111 00:05:52,040 --> 00:05:55,600 Speaker 1: do it intelligently. Um. I can't tell you how much 112 00:05:56,160 --> 00:05:59,560 Speaker 1: hatred I got from the right and the left, the 113 00:05:59,720 --> 00:06:03,480 Speaker 1: right saying you idiot, just open the school, just open 114 00:06:03,520 --> 00:06:05,880 Speaker 1: them up. Kids will be fine, you know, kids will 115 00:06:05,960 --> 00:06:07,919 Speaker 1: kids will do it, They'll be fine. And from the 116 00:06:08,000 --> 00:06:10,599 Speaker 1: left saying, you're a crazy Trump supporter. Why do you 117 00:06:10,680 --> 00:06:13,360 Speaker 1: why why do you want to kill people? And I 118 00:06:13,920 --> 00:06:16,320 Speaker 1: just don't. I don't know what to make of it anymore. 119 00:06:16,520 --> 00:06:19,400 Speaker 1: Because people have gone they've gone mad, they have an 120 00:06:19,400 --> 00:06:24,800 Speaker 1: inability to understand that sometimes there can be a middle, 121 00:06:24,839 --> 00:06:27,680 Speaker 1: independent road that you're gonna watch. And I think most 122 00:06:27,720 --> 00:06:30,960 Speaker 1: people at their core want a reasonable solution. But we've 123 00:06:31,000 --> 00:06:34,680 Speaker 1: become so animated by the far right and the far 124 00:06:34,800 --> 00:06:36,760 Speaker 1: left that this is where we are in our society now. 125 00:06:36,760 --> 00:06:39,480 Speaker 1: It's really kind of sad. Boy, You a guy who 126 00:06:39,560 --> 00:06:42,359 Speaker 1: studies this sort of thing your whole life, saying I 127 00:06:42,360 --> 00:06:44,359 Speaker 1: don't know what to make of it anymore and sounding 128 00:06:44,400 --> 00:06:47,040 Speaker 1: despondent is troubling to me. Well, Lani, you've probably here 129 00:06:47,080 --> 00:06:49,080 Speaker 1: to say in the past. Will make a statement or 130 00:06:49,120 --> 00:06:50,840 Speaker 1: have a conversation on the show, and we'll get half 131 00:06:50,839 --> 00:06:53,560 Speaker 1: a dozen emails sing I'm never gonna listen to you again. 132 00:06:53,600 --> 00:06:57,640 Speaker 1: You're two pro Trump, simultaneously receiving six emails saying I'll 133 00:06:57,680 --> 00:07:00,400 Speaker 1: never listen to you again. You're too anti Trump. I mean, 134 00:07:00,520 --> 00:07:05,279 Speaker 1: based on the same statements and and so. Yeah, it's crazy, 135 00:07:05,320 --> 00:07:07,760 Speaker 1: But guess what, I bet they're all still listening. Well, 136 00:07:08,160 --> 00:07:10,400 Speaker 1: And how could he not a loan he changed with 137 00:07:10,400 --> 00:07:14,400 Speaker 1: the Hoover Institution and Stanford University. I wish well Trump. 138 00:07:14,680 --> 00:07:17,120 Speaker 1: I guess Trump to some extent things that benefits him 139 00:07:17,120 --> 00:07:19,440 Speaker 1: anytime he's being talked about. But I wish he'd stay 140 00:07:19,440 --> 00:07:22,280 Speaker 1: out of some issues. Um, I wish he'd stay out 141 00:07:22,280 --> 00:07:24,960 Speaker 1: of this Obama Gate thing. I think if he'd stay 142 00:07:25,000 --> 00:07:27,280 Speaker 1: out of it. There's a better chance The New York Times, 143 00:07:27,760 --> 00:07:30,640 Speaker 1: you know, George Stephanopolis, whatever, digs into it as soon 144 00:07:30,640 --> 00:07:32,520 Speaker 1: as Trump gets involved in it. So I don't want 145 00:07:32,520 --> 00:07:36,120 Speaker 1: to be in Trump side thing. Yeah, well, I think 146 00:07:36,760 --> 00:07:40,000 Speaker 1: you know, first of all, he's got his gut instinct 147 00:07:40,160 --> 00:07:42,080 Speaker 1: and they're just things he can't resist. This is going 148 00:07:42,120 --> 00:07:43,560 Speaker 1: to be one of those things he wouldn't be able 149 00:07:43,560 --> 00:07:45,960 Speaker 1: to write and then dive right into the middle of it. 150 00:07:46,280 --> 00:07:48,000 Speaker 1: And you know, here's the thing. At the end of 151 00:07:48,000 --> 00:07:50,440 Speaker 1: the day, I've been looking some more at that data 152 00:07:50,480 --> 00:07:52,520 Speaker 1: about kind of what people think about Trump in the 153 00:07:52,560 --> 00:07:54,760 Speaker 1: election this year. I'm actually not sure if it's going 154 00:07:54,840 --> 00:07:56,240 Speaker 1: to matter a whole lot at the end of the 155 00:07:56,320 --> 00:07:58,320 Speaker 1: day whether he gets re elected or not. In terms 156 00:07:58,320 --> 00:08:01,720 Speaker 1: of this issue, I really do think that it's going 157 00:08:01,760 --> 00:08:04,160 Speaker 1: to be a very simple calculus for most people, and 158 00:08:04,160 --> 00:08:06,360 Speaker 1: it's going to have to do with the economy. And 159 00:08:06,800 --> 00:08:08,880 Speaker 1: when it comes down to it, it's not about how 160 00:08:08,920 --> 00:08:12,400 Speaker 1: how objectively good the economy is, because I don't think 161 00:08:12,400 --> 00:08:14,360 Speaker 1: the unemployment rate is going to be at a great 162 00:08:14,400 --> 00:08:16,520 Speaker 1: point by the time we get to the election. It's 163 00:08:16,520 --> 00:08:19,320 Speaker 1: going to be about the trend if if Trump can 164 00:08:19,400 --> 00:08:22,800 Speaker 1: show some improvement about the economy, and he is able 165 00:08:22,840 --> 00:08:25,800 Speaker 1: to trump at that improvement. My sense is he's got 166 00:08:25,800 --> 00:08:28,680 Speaker 1: a pretty good shot at being successful, notwithstanding all of 167 00:08:28,720 --> 00:08:32,160 Speaker 1: the dialogue about how he's handled the coronavirus response. And 168 00:08:32,200 --> 00:08:34,360 Speaker 1: I think people will disagree on that, but I really 169 00:08:34,440 --> 00:08:37,680 Speaker 1: do think for most voters in the sort of swing 170 00:08:37,760 --> 00:08:41,000 Speaker 1: states who are thinking about this election carefully, it's going 171 00:08:41,080 --> 00:08:42,800 Speaker 1: to come down to the economy. So all this other 172 00:08:42,840 --> 00:08:46,160 Speaker 1: stuff is noise. Well, if the economy is not trending up, 173 00:08:46,440 --> 00:08:50,320 Speaker 1: you know, compared to the current situation, God help us all, 174 00:08:51,440 --> 00:08:55,719 Speaker 1: we're going to be in seriously dire straits. Lana Chan 175 00:08:55,800 --> 00:08:58,960 Speaker 1: of the Uber Institution and Stanford University Lani on our 176 00:08:59,000 --> 00:09:01,280 Speaker 1: personal note, maya to to your old college student daughter 177 00:09:01,600 --> 00:09:07,360 Speaker 1: has become just utterly enthusiastic about electoral data analysis, And 178 00:09:07,520 --> 00:09:09,800 Speaker 1: I don't know, Yeah, maybe I can, if I can 179 00:09:09,840 --> 00:09:11,760 Speaker 1: give her your email address or something, maybe you could 180 00:09:11,760 --> 00:09:13,560 Speaker 1: recommend a book or something like that. And she's a 181 00:09:13,559 --> 00:09:17,960 Speaker 1: great admirer. There's a there's a great amount of job 182 00:09:18,040 --> 00:09:22,360 Speaker 1: security for people who are interested in electoral data these days. Yeah, 183 00:09:22,360 --> 00:09:25,720 Speaker 1: I can't. She's surely not my child, but I'm proud 184 00:09:25,720 --> 00:09:27,880 Speaker 1: of her anyway, and I claim her. Lannie, great to 185 00:09:27,880 --> 00:09:31,280 Speaker 1: talk to you, and let's do it again soon. Thank you, Yeah, 186 00:09:31,400 --> 00:09:34,080 Speaker 1: Lannie in a Twitter war over saying let's find a 187 00:09:34,120 --> 00:09:37,800 Speaker 1: middle ground and get colleges open again. I mean, is 188 00:09:37,880 --> 00:09:42,360 Speaker 1: there a position you can take on any issue, any 189 00:09:42,400 --> 00:09:45,439 Speaker 1: position on any issue, that will not get you hatred. 190 00:09:45,559 --> 00:09:48,520 Speaker 1: There's just there's just a gut lever level feeling that 191 00:09:48,679 --> 00:09:52,880 Speaker 1: so many people have now of sizing up a story, 192 00:09:53,040 --> 00:09:56,400 Speaker 1: a pundit, a person you run into, or whatever, which 193 00:09:56,400 --> 00:09:58,559 Speaker 1: side you on. There's only two sides, which are you on? 194 00:09:58,880 --> 00:10:00,720 Speaker 1: And you listen for a you and then you make 195 00:10:00,760 --> 00:10:04,480 Speaker 1: a determination, Oh they're on that side, right, That's that's 196 00:10:04,520 --> 00:10:06,920 Speaker 1: the end of it, exactly. I try to avoid that 197 00:10:06,920 --> 00:10:08,960 Speaker 1: sort of thinking, but I understand it. You know, in 198 00:10:09,120 --> 00:10:12,800 Speaker 1: nineteen forty four, for instance, there were not a lot 199 00:10:12,880 --> 00:10:15,520 Speaker 1: of people running around saying, you know, Japan has been 200 00:10:15,520 --> 00:10:18,800 Speaker 1: the source of some beautiful modern music, you know, or 201 00:10:18,920 --> 00:10:21,640 Speaker 1: there are a lot of great German writers who you 202 00:10:21,720 --> 00:10:23,920 Speaker 1: really ought to read. And by the same token, I 203 00:10:23,960 --> 00:10:25,839 Speaker 1: used to have a next door neighbor who I despised. 204 00:10:25,880 --> 00:10:28,600 Speaker 1: He was a bastard. I mean, he was a rotten 205 00:10:28,679 --> 00:10:30,960 Speaker 1: human being on every level, and if we'd had some 206 00:10:31,000 --> 00:10:34,760 Speaker 1: sort of neighborhood controversy over should we I don't know, 207 00:10:34,800 --> 00:10:36,560 Speaker 1: what do you want to do hire a street sweeper 208 00:10:36,559 --> 00:10:39,040 Speaker 1: to keep distrectly? And he came out in favor of it. 209 00:10:39,480 --> 00:10:42,240 Speaker 1: My natural inclination would be looked for reasons why that 210 00:10:42,320 --> 00:10:46,120 Speaker 1: was a stupid Why stuff everyone's money. It's just it's 211 00:10:46,160 --> 00:10:49,920 Speaker 1: the way we are as human beings. But if there's 212 00:10:50,040 --> 00:10:54,000 Speaker 1: anything at stake in terms of unity, I mean if, if, if, 213 00:10:54,320 --> 00:10:56,640 Speaker 1: if there's enough at stake, the unity matters. For instance, 214 00:10:56,880 --> 00:11:00,880 Speaker 1: the next cul de sac over was regular rating our 215 00:11:00,960 --> 00:11:03,840 Speaker 1: cul de sac, beating up our children and and attempting 216 00:11:03,840 --> 00:11:06,480 Speaker 1: to steal our stuff. Well, then he and I have 217 00:11:06,640 --> 00:11:09,680 Speaker 1: to put aside are dislike and we at least have 218 00:11:09,800 --> 00:11:12,000 Speaker 1: to figure out a way to talk to each other. Well, 219 00:11:12,120 --> 00:11:16,199 Speaker 1: the United States have some has some evil, evil sons 220 00:11:16,200 --> 00:11:18,760 Speaker 1: of bitches, pardon me, living on the next cul de sac, 221 00:11:19,280 --> 00:11:21,920 Speaker 1: whether it's North Korea or China most notably, or Russia 222 00:11:21,960 --> 00:11:24,280 Speaker 1: or Iran, and we've got to be able to talk 223 00:11:24,320 --> 00:11:28,040 Speaker 1: to each other. That's true. If you hate your boss 224 00:11:28,040 --> 00:11:30,079 Speaker 1: and they come up with an idea that's a good idea, 225 00:11:30,120 --> 00:11:32,720 Speaker 1: you have to fight your instinct to accept the fact 226 00:11:32,760 --> 00:11:36,679 Speaker 1: that it's a good idea. So I'm asking you, friends, 227 00:11:36,840 --> 00:11:39,440 Speaker 1: look deep within your hearts, or those of you are shallow, 228 00:11:39,559 --> 00:11:42,680 Speaker 1: look shallowly within your hearts, see if you can find 229 00:11:42,720 --> 00:11:43,200 Speaker 1: some truth.