1 00:00:01,639 --> 00:00:06,320 Speaker 1: Penn Fed. That's the fact, that's my credit card purchase. 2 00:00:06,360 --> 00:00:12,959 Speaker 1: Does get me t pas? No one root boards just 3 00:00:13,080 --> 00:00:17,439 Speaker 1: playing through what intarmination? Sir pen FET's Power Cash Rewards court? 4 00:00:17,520 --> 00:00:20,079 Speaker 1: Is it justus for military members? Anyone can get cash 5 00:00:20,120 --> 00:00:24,000 Speaker 1: back on all purchases. Freag, you've ruined my favorite song. 6 00:00:24,280 --> 00:00:26,920 Speaker 1: Penn Fed credit Union. Visit penn fed dot org slash 7 00:00:26,920 --> 00:00:29,320 Speaker 1: power cash. To receive any advertised pduct, you must become 8 00:00:29,320 --> 00:00:35,760 Speaker 1: a member of pen Fed. Injured by n c UA's 9 00:00:35,760 --> 00:00:38,120 Speaker 1: talking of smart people, We talked to Ian Grammar earlier 10 00:00:38,120 --> 00:00:39,519 Speaker 1: in the show. You should try to catch that on 11 00:00:39,520 --> 00:00:42,640 Speaker 1: the podcast. Um, we got another one for you. You 12 00:00:42,720 --> 00:00:44,519 Speaker 1: talked to a smart person every day. I wish you 13 00:00:44,520 --> 00:00:48,280 Speaker 1: would appreciate me, but you don't want he Jen Zee, 14 00:00:48,920 --> 00:00:52,000 Speaker 1: David and Diane Stephie research fellow, too Over Institution, Director 15 00:00:52,040 --> 00:00:55,120 Speaker 1: of Domestic Policy Studies at Stanford University lant he how 16 00:00:55,120 --> 00:00:58,360 Speaker 1: are you? I'm drink fine, gentlemen, how are you excellent? 17 00:00:58,400 --> 00:01:01,080 Speaker 1: We ran late, repressed for time, and we blame ourselves. 18 00:01:01,880 --> 00:01:05,640 Speaker 1: But as the director of Domestic Policy Studies at Stanford 19 00:01:05,720 --> 00:01:08,440 Speaker 1: and in the lecture in Public Policy, what do you 20 00:01:08,560 --> 00:01:12,800 Speaker 1: think about the implementation of this shocking public policy, for 21 00:01:12,840 --> 00:01:18,480 Speaker 1: instance in Stinson, California. Thus far, well, look, I think 22 00:01:18,480 --> 00:01:21,600 Speaker 1: it's important. I actually am in favor of trying to 23 00:01:21,640 --> 00:01:24,920 Speaker 1: keep people home as much as possible. Here's the problem, though, 24 00:01:24,959 --> 00:01:27,480 Speaker 1: in a democratic society, we're never going to do with 25 00:01:27,640 --> 00:01:29,800 Speaker 1: some something like what China had to do, which is 26 00:01:29,840 --> 00:01:32,880 Speaker 1: basically an enforced quarantine. So the best you're gonna have 27 00:01:33,040 --> 00:01:36,360 Speaker 1: is government saying, look for public safety reasons, because we 28 00:01:36,400 --> 00:01:38,760 Speaker 1: don't want to spread this to people who are more vulnerable. 29 00:01:39,040 --> 00:01:40,920 Speaker 1: Try to do your best to stay at home, and 30 00:01:41,120 --> 00:01:42,720 Speaker 1: and you know, we're gonna see what happens. I do 31 00:01:42,840 --> 00:01:44,680 Speaker 1: think it's going to have a difference. It's gonna it's 32 00:01:44,680 --> 00:01:47,000 Speaker 1: gonna make a difference in terms of the transmission of 33 00:01:47,040 --> 00:01:50,800 Speaker 1: this disease. But hopefully, yeah. Do you think we'll even 34 00:01:50,800 --> 00:01:53,400 Speaker 1: do what Italy does though where they're they've given out 35 00:01:53,440 --> 00:01:56,640 Speaker 1: fifty thousand citations so far in Italy tickets to people 36 00:01:56,680 --> 00:01:59,520 Speaker 1: who know. No. I don't, I don't, I don't. I 37 00:01:59,520 --> 00:02:02,160 Speaker 1: don't think so. I mean, I think here's my sense. 38 00:02:02,480 --> 00:02:04,640 Speaker 1: At least in the Bay Area where I live, and 39 00:02:04,680 --> 00:02:07,160 Speaker 1: maybe it's just my community, people have been pretty good 40 00:02:07,200 --> 00:02:09,799 Speaker 1: about sticking to the rules. I mean, yes, of course, 41 00:02:09,840 --> 00:02:11,680 Speaker 1: occasional you'll see people out and you'll be like, do 42 00:02:11,720 --> 00:02:14,240 Speaker 1: you really need to be out? But for the most part, 43 00:02:14,280 --> 00:02:17,000 Speaker 1: I think I think folks are are abiding by the rules. 44 00:02:17,400 --> 00:02:20,680 Speaker 1: I don't see the same kind of enforcement happening here 45 00:02:20,720 --> 00:02:23,480 Speaker 1: in the US well, and I hope it doesn't have to. 46 00:02:23,760 --> 00:02:25,679 Speaker 1: And I think that speaks to the sort of society 47 00:02:25,720 --> 00:02:28,519 Speaker 1: we have where we are governed by our own consent, 48 00:02:29,040 --> 00:02:31,480 Speaker 1: and if our government says, hey, we really need to 49 00:02:31,520 --> 00:02:34,080 Speaker 1: do this, y'all, I think most people will say, Okay, 50 00:02:34,160 --> 00:02:39,040 Speaker 1: I consent to that seems reasonable. That makes me happy. Yeah, no, 51 00:02:39,320 --> 00:02:41,320 Speaker 1: it makes me happy too. And I think I do 52 00:02:41,440 --> 00:02:43,799 Speaker 1: like the fact that more and more Americans are are 53 00:02:43,880 --> 00:02:46,639 Speaker 1: doing things like, for example, saying, hey, look, I've got 54 00:02:46,639 --> 00:02:49,960 Speaker 1: a neighbor who's vulnerable. I've got someone I know in 55 00:02:50,040 --> 00:02:52,080 Speaker 1: my family who's vulnerable. I'm going to do what I 56 00:02:52,200 --> 00:02:54,360 Speaker 1: can for them during this time. I'm going to bring 57 00:02:54,360 --> 00:02:56,640 Speaker 1: them food, I'm going to help make sure that they're 58 00:02:56,680 --> 00:02:59,399 Speaker 1: okay when they're when they're staying in. That's the kind 59 00:02:59,400 --> 00:03:02,359 Speaker 1: of spirit, and that's the kind of of community that 60 00:03:02,480 --> 00:03:05,240 Speaker 1: makes me proud to be an American. Quite frankly, and 61 00:03:05,240 --> 00:03:07,080 Speaker 1: and it's not something, by the way, you would find 62 00:03:07,080 --> 00:03:09,080 Speaker 1: in China. The reason that they had to do what 63 00:03:09,120 --> 00:03:10,840 Speaker 1: they had to do in China is because that's not 64 00:03:10,880 --> 00:03:12,920 Speaker 1: the off there. It's just a different kind of place. 65 00:03:13,680 --> 00:03:16,040 Speaker 1: I assume you, like me, are in favor of caning 66 00:03:16,160 --> 00:03:22,639 Speaker 1: young spring breakers. Absolutely, okay, no, no punishment too severe. 67 00:03:22,680 --> 00:03:24,880 Speaker 1: I mean these these these guys are just more odds. 68 00:03:25,080 --> 00:03:27,440 Speaker 1: And when you look at them saying things like, well, 69 00:03:27,440 --> 00:03:29,400 Speaker 1: you know, if I get corona, I get corona. You know, 70 00:03:29,440 --> 00:03:30,919 Speaker 1: it's not a big deal. I still want a party. 71 00:03:30,919 --> 00:03:32,960 Speaker 1: I want to drink my corona. It's like, you idiots, 72 00:03:33,000 --> 00:03:35,520 Speaker 1: Well they're gonna haven and so they'll they'll, they'll, they'll 73 00:03:35,520 --> 00:03:39,800 Speaker 1: get their own. But so I am a proud American. 74 00:03:39,840 --> 00:03:41,280 Speaker 1: I'm not real proud of this though. I don't know 75 00:03:41,320 --> 00:03:43,800 Speaker 1: if you're like following the Wall Street Journals expose of 76 00:03:43,880 --> 00:03:47,440 Speaker 1: the fact that the c d C was telling States 77 00:03:47,520 --> 00:03:49,720 Speaker 1: and probably the President, oh, we got plenty of testing, 78 00:03:49,720 --> 00:03:51,840 Speaker 1: we can we can match this, when they when they 79 00:03:51,880 --> 00:03:54,200 Speaker 1: either were so incompetent they knew they couldn't, or they 80 00:03:54,200 --> 00:03:58,240 Speaker 1: were lying to us. Yeah, well that's something. You know, 81 00:03:58,360 --> 00:04:00,280 Speaker 1: As this goes on, we're gonna find out more and 82 00:04:00,320 --> 00:04:03,560 Speaker 1: more about what happened during what I call the lost week. Right, 83 00:04:03,600 --> 00:04:05,880 Speaker 1: there was a period of time between when the President 84 00:04:06,080 --> 00:04:09,160 Speaker 1: said no one coming in from China to the outbreak 85 00:04:09,160 --> 00:04:13,000 Speaker 1: of this virus, and and those few weeks, unfortunately were lost. 86 00:04:13,120 --> 00:04:14,800 Speaker 1: And we're going to figure out why they were lost. 87 00:04:14,840 --> 00:04:16,800 Speaker 1: Was it because of poor leadership at the top? Was 88 00:04:16,839 --> 00:04:20,560 Speaker 1: it because of failures that agencies like the CDC. Now, 89 00:04:20,560 --> 00:04:22,640 Speaker 1: by the way, having worked in the big bureaucracy that 90 00:04:22,720 --> 00:04:25,680 Speaker 1: included the CDC, it does not surprise me to hear 91 00:04:25,720 --> 00:04:28,320 Speaker 1: that you had elements of the bureaucracy not functioning well 92 00:04:28,600 --> 00:04:30,840 Speaker 1: or just trying to cover their own were rent. That's 93 00:04:30,880 --> 00:04:33,719 Speaker 1: something that's unacceptable. I mean, but we'll find out exactly 94 00:04:33,720 --> 00:04:35,520 Speaker 1: what happened, you know, at some point, lin he if 95 00:04:35,520 --> 00:04:37,400 Speaker 1: we can impose on you for more of your time. 96 00:04:37,440 --> 00:04:40,120 Speaker 1: We had to do the long form podcast again about that, 97 00:04:40,360 --> 00:04:43,280 Speaker 1: which is one of our very favorite topics, um and 98 00:04:43,320 --> 00:04:47,560 Speaker 1: that's uh, bureaucracy disease and the iron law of bureaucracy 99 00:04:47,600 --> 00:04:49,080 Speaker 1: and the damage it does and the rest of it. 100 00:04:49,120 --> 00:04:52,800 Speaker 1: And and I would love to I'm pressing another time. 101 00:04:52,839 --> 00:04:54,960 Speaker 1: I'm kind of interested. In the last minute I saw 102 00:04:54,960 --> 00:04:57,560 Speaker 1: a picture of burning and Biden on TV for a 103 00:04:57,560 --> 00:05:00,240 Speaker 1: brief store and thought, oh, yeah, right, that story that's 104 00:05:00,240 --> 00:05:02,240 Speaker 1: still happening. You know what, what the hell is gonna 105 00:05:02,279 --> 00:05:06,039 Speaker 1: happen with all that? Well, here's one observation I'll make. 106 00:05:06,080 --> 00:05:08,800 Speaker 1: I know we're short on time. You know, the strategy 107 00:05:08,839 --> 00:05:11,960 Speaker 1: of the Trump people before the whole coronavirus thing was 108 00:05:12,360 --> 00:05:14,640 Speaker 1: once they had a nominee on the Democratic side, they 109 00:05:14,640 --> 00:05:16,840 Speaker 1: were going to attack the heck out of them and 110 00:05:16,960 --> 00:05:19,599 Speaker 1: define them in the same way that Barack Obama defined 111 00:05:19,680 --> 00:05:22,039 Speaker 1: Mitt Romney. In two thousand twelve, right after Mitt Romney 112 00:05:22,120 --> 00:05:25,240 Speaker 1: came out of a divided primary, they Obama and the 113 00:05:25,279 --> 00:05:28,600 Speaker 1: Obama superpacs spent you know, hundreds and millions of dollars 114 00:05:28,640 --> 00:05:31,680 Speaker 1: attacking Mitt Romney, essentially, you know, costing him the election. 115 00:05:31,800 --> 00:05:34,520 Speaker 1: During that time, their strategy was to do the Trump 116 00:05:34,560 --> 00:05:37,080 Speaker 1: strategy was to do the same thing to the Democratic nominee. 117 00:05:37,400 --> 00:05:39,040 Speaker 1: They're not going to be able to do that as 118 00:05:39,080 --> 00:05:41,800 Speaker 1: readily now, and given the fact that coronavirus is out 119 00:05:41,800 --> 00:05:44,280 Speaker 1: there and it's going to look unseemly to attack by 120 00:05:44,279 --> 00:05:45,520 Speaker 1: it in the same way. So I do think it's 121 00:05:45,560 --> 00:05:47,599 Speaker 1: going to change the dynamic of this campaign going forward. 122 00:05:47,600 --> 00:05:51,400 Speaker 1: Do you think it's mostly advantage to the challenger them? Yeah, 123 00:05:51,440 --> 00:05:53,039 Speaker 1: I do. I mean I think it gives Biden a 124 00:05:53,120 --> 00:05:56,479 Speaker 1: chance to catch his breath, could define a general election narrative, 125 00:05:56,839 --> 00:05:59,799 Speaker 1: and the fact that we know the Democratic nominee this early. 126 00:06:00,040 --> 00:06:02,240 Speaker 1: I think it's a big advantage to the Democratic Party 127 00:06:02,240 --> 00:06:03,760 Speaker 1: because it didn't look like it was going to turn 128 00:06:03,800 --> 00:06:07,080 Speaker 1: out that way. Well, the coronavirus notwithstanding. If indeed the 129 00:06:07,120 --> 00:06:09,680 Speaker 1: campaign is shortened, that is to me proof that there 130 00:06:09,720 --> 00:06:11,320 Speaker 1: is a God and he loves us and he wants 131 00:06:11,360 --> 00:06:13,800 Speaker 1: us to be happy. So thank you guys for that. 132 00:06:14,240 --> 00:06:18,000 Speaker 1: Lani Chen of the Hoover Institution and Stanford University, thanks 133 00:06:18,000 --> 00:06:19,680 Speaker 1: a million. Lon. He's sorry it was so short, but 134 00:06:19,880 --> 00:06:22,280 Speaker 1: we look forward to the next chat. Absolutely, thank you. 135 00:06:22,480 --> 00:06:24,919 Speaker 1: How good is he? Oh, he's terrific. You know, I 136 00:06:25,000 --> 00:06:26,880 Speaker 1: love talking to smart people and watch a lot of 137 00:06:26,880 --> 00:06:28,560 Speaker 1: people losing their said, I mentioned you talked to a 138 00:06:28,600 --> 00:06:30,680 Speaker 1: smart person every day, and you don't appreciate me. There's 139 00:06:30,680 --> 00:06:34,560 Speaker 1: somebody freaking people on losing They don't say anything that's 140 00:06:34,560 --> 00:06:38,440 Speaker 1: insightful or unique or just nothing. Seriously, the proverbial waste 141 00:06:38,440 --> 00:06:46,720 Speaker 1: of air, A lot of wastes of air for all 142 00:06:46,720 --> 00:06:49,520 Speaker 1: your food is out there. I'm unwrapping a mcdonald' steak, 143 00:06:49,560 --> 00:06:53,400 Speaker 1: egg and cheese bagel. Look at this date and the 144 00:06:53,520 --> 00:06:55,640 Speaker 1: juice running down the sigh. Get a little bit on 145 00:06:55,640 --> 00:06:59,880 Speaker 1: a wrapper here, and then the fluffy egg and real 146 00:07:00,040 --> 00:07:03,400 Speaker 1: cheese floted over the thide, looking just so good. M M. 147 00:07:04,200 --> 00:07:08,200 Speaker 1: Grilled onions and about a bagel too. Thumbs off a mcdonald' steak, 148 00:07:08,200 --> 00:07:13,560 Speaker 1: eagg and cheese bagel for breakfast, Love it, m bot up. 149 00:07:13,560 --> 00:07:15,040 Speaker 1: I participate in McDonald's