1 00:00:15,356 --> 00:00:23,076 Speaker 1: Pushkin from Pushkin Industries. This is Deep Background, the show 2 00:00:23,116 --> 00:00:26,196 Speaker 1: where we explore the stories behind the stories in the news. 3 00:00:26,716 --> 00:00:31,236 Speaker 1: I'm Noah Feldman. Since July, President Trump has been calling 4 00:00:31,276 --> 00:00:34,076 Speaker 1: for schools to open this fall for in person learning. 5 00:00:34,996 --> 00:00:38,236 Speaker 1: Some schools that have already opened, though had to close 6 00:00:38,516 --> 00:00:43,436 Speaker 1: after coronavirus cases were detected, like a district in Georgia. 7 00:00:43,796 --> 00:00:48,076 Speaker 1: How should schools be making good decisions about whether to open, 8 00:00:48,716 --> 00:00:52,396 Speaker 1: what criteria are relevant to that decision making? If they 9 00:00:52,436 --> 00:00:55,076 Speaker 1: do open, how do they make sure things are safe? 10 00:00:55,436 --> 00:00:58,876 Speaker 1: And what do they do if cases break out? To 11 00:00:58,956 --> 00:01:04,836 Speaker 1: discuss these complicated, difficult questions questions without easy answers, were 12 00:01:04,916 --> 00:01:09,436 Speaker 1: joined by doctor Sean O'Leary. He's Professor of Pediatric actious 13 00:01:09,476 --> 00:01:13,556 Speaker 1: Diseases at the University of Colorado, of practicing pediatrician, and 14 00:01:13,636 --> 00:01:16,916 Speaker 1: he's the vice chair of the American Academy of Pediatrics 15 00:01:17,276 --> 00:01:21,676 Speaker 1: Committee on Infectious Disease. Sean, thank you so much for 16 00:01:21,916 --> 00:01:26,676 Speaker 1: joining us. Let's just start with basics. What is your 17 00:01:26,756 --> 00:01:30,636 Speaker 1: view about the criteria that school districts should be using 18 00:01:31,116 --> 00:01:34,756 Speaker 1: to decide whether they should open in person and if so, 19 00:01:34,956 --> 00:01:37,876 Speaker 1: just how open they ought to be? So, Folks who 20 00:01:37,876 --> 00:01:40,756 Speaker 1: are using various metrics to decide how to reopen. I 21 00:01:40,796 --> 00:01:43,436 Speaker 1: think all of us all along have been saying we 22 00:01:43,476 --> 00:01:46,876 Speaker 1: would really love to see community transmission as low as 23 00:01:46,876 --> 00:01:50,636 Speaker 1: possible before we safely reopen schools. The metric that is 24 00:01:50,716 --> 00:01:54,396 Speaker 1: used most commonly is the percent positivity. So of all 25 00:01:54,396 --> 00:01:57,156 Speaker 1: the tests that are done, what percentage are positive? Because 26 00:01:57,196 --> 00:02:01,116 Speaker 1: that is a little bit better measure than just pure 27 00:02:01,196 --> 00:02:05,356 Speaker 1: number of cases. Pure number of cases reflects your testing capacity. 28 00:02:05,636 --> 00:02:08,636 Speaker 1: The percent positivity is less sensitive to that. So the 29 00:02:08,716 --> 00:02:11,796 Speaker 1: numbers I've seen thrown around. Some places are using ten percent, 30 00:02:11,876 --> 00:02:15,516 Speaker 1: which I think is clearly too high. Others are using 31 00:02:15,516 --> 00:02:18,316 Speaker 1: five percent. That's probably the most common metric I've seen. 32 00:02:18,796 --> 00:02:21,116 Speaker 1: That's also saw the Harvard School of Public Health is 33 00:02:21,116 --> 00:02:24,156 Speaker 1: recommending three percent. Ideally, I'd love to see it under 34 00:02:24,196 --> 00:02:26,556 Speaker 1: one percent. Honestly, I think there are states in the 35 00:02:26,676 --> 00:02:30,436 Speaker 1: US that are under one percent positivity, and I think 36 00:02:30,436 --> 00:02:32,956 Speaker 1: the fact that they have been able to get there 37 00:02:33,156 --> 00:02:35,996 Speaker 1: says we can all get there, and so the lower 38 00:02:36,116 --> 00:02:39,916 Speaker 1: the better, basically, because the higher you go, the more 39 00:02:39,956 --> 00:02:42,196 Speaker 1: likely you're just going to have to immediately shut down. 40 00:02:42,836 --> 00:02:45,476 Speaker 1: That's striking to me because if we were to aim 41 00:02:45,556 --> 00:02:47,196 Speaker 1: for something, I mean of course it's great to go 42 00:02:47,236 --> 00:02:50,076 Speaker 1: as low as one percent, but if we did only 43 00:02:50,196 --> 00:02:52,916 Speaker 1: reopen schools physically in places where the rate was that low, 44 00:02:53,756 --> 00:02:56,516 Speaker 1: we would really be having many fewer in person reopenings 45 00:02:56,556 --> 00:02:59,316 Speaker 1: than it looks like we're about to have. So am 46 00:02:59,316 --> 00:03:01,196 Speaker 1: I right in hearing you as saying that we're about 47 00:03:01,236 --> 00:03:05,396 Speaker 1: to reopen too many schools physically. I think if someone 48 00:03:05,436 --> 00:03:10,436 Speaker 1: tells you that they can answer that question accurately, they're wrong. 49 00:03:10,476 --> 00:03:12,356 Speaker 1: I don't think anybody knows what's going to happen here. 50 00:03:12,356 --> 00:03:16,676 Speaker 1: We've never done this before, and the US has done 51 00:03:16,676 --> 00:03:20,316 Speaker 1: an abysmal job controlling this pandemic as a nation. There 52 00:03:20,356 --> 00:03:22,036 Speaker 1: are some places that have done it well. So I 53 00:03:22,036 --> 00:03:24,196 Speaker 1: think what we need to do right now is look 54 00:03:24,236 --> 00:03:27,076 Speaker 1: to the places where they are reopening where they do 55 00:03:27,156 --> 00:03:30,196 Speaker 1: have low rates of transmission, and see how that goes, 56 00:03:30,276 --> 00:03:33,276 Speaker 1: and be ready to adjust as we see that happening 57 00:03:33,316 --> 00:03:36,676 Speaker 1: over the next weeks to even months. Let's talk about 58 00:03:36,716 --> 00:03:39,996 Speaker 1: the dynamics within a school, and to do that, I 59 00:03:39,996 --> 00:03:41,956 Speaker 1: want to start with the question that again has been 60 00:03:41,996 --> 00:03:46,796 Speaker 1: widely discussed, which is the question of probability of transmission 61 00:03:47,436 --> 00:03:53,436 Speaker 1: as between children and teenagers, and probability of them then 62 00:03:53,556 --> 00:03:57,676 Speaker 1: bringing COVID home to other family members. What do we 63 00:03:57,756 --> 00:04:02,996 Speaker 1: actually know about the odds of young people both getting 64 00:04:03,156 --> 00:04:08,436 Speaker 1: and spreading COVID relative to adults. Yeah, so we're talking 65 00:04:08,556 --> 00:04:11,876 Speaker 1: on what is at August seventeenth today, So what I 66 00:04:11,916 --> 00:04:15,356 Speaker 1: tell you today may not be true tomorrow. But at 67 00:04:15,396 --> 00:04:19,156 Speaker 1: this point, probably the best study I can tell you 68 00:04:19,196 --> 00:04:22,596 Speaker 1: about in terms of older children, meaning over ten, is 69 00:04:22,676 --> 00:04:26,916 Speaker 1: the South Korea study, And in that study, it appeared 70 00:04:27,156 --> 00:04:31,156 Speaker 1: that adolescence between I believe ten and nineteen was the 71 00:04:31,436 --> 00:04:34,756 Speaker 1: ages they used in that particular study, were as likely 72 00:04:35,276 --> 00:04:42,236 Speaker 1: to pass the infection to a household member as older adults. Now, 73 00:04:42,476 --> 00:04:45,276 Speaker 1: if you look closely at the numbers in that study, though, 74 00:04:45,316 --> 00:04:48,836 Speaker 1: there were far fewer adolescence in that age group than 75 00:04:48,836 --> 00:04:52,636 Speaker 1: there were in the older adults, and so that raises 76 00:04:52,876 --> 00:04:56,676 Speaker 1: the possibility that they were also less likely to get infected. 77 00:04:56,836 --> 00:04:58,316 Speaker 1: It also may be that they were not out and 78 00:04:58,356 --> 00:05:00,876 Speaker 1: about and so we're not getting infected to be eligible 79 00:05:00,916 --> 00:05:04,396 Speaker 1: to the index case. So there are still some unanswered 80 00:05:04,436 --> 00:05:08,716 Speaker 1: questions for sure in that age group. For the younger children, 81 00:05:09,396 --> 00:05:11,236 Speaker 1: you may have seen a study that was published a 82 00:05:11,276 --> 00:05:15,596 Speaker 1: few weeks ago showing that the younger children particularly children 83 00:05:15,676 --> 00:05:19,276 Speaker 1: under five had higher viral loads when they tested the 84 00:05:19,316 --> 00:05:24,436 Speaker 1: amount of virus based on a PCR test in their nose. Now, 85 00:05:24,636 --> 00:05:28,836 Speaker 1: we had seen a similar study in Germany in April 86 00:05:29,836 --> 00:05:33,396 Speaker 1: where they estimated that the viral loads were similar across 87 00:05:33,436 --> 00:05:36,196 Speaker 1: age groups, it didn't matter what age you were. We've 88 00:05:36,276 --> 00:05:39,996 Speaker 1: not seen that the epidemiology follows that though, based on 89 00:05:40,156 --> 00:05:43,196 Speaker 1: most of the studies we've seen, younger children appear to 90 00:05:43,276 --> 00:05:45,876 Speaker 1: be less likely to get infected and less likely to 91 00:05:45,876 --> 00:05:49,396 Speaker 1: spread the infection to others. I'll give as an example 92 00:05:49,836 --> 00:05:53,836 Speaker 1: the childcare centers in the US. So if you look 93 00:05:53,996 --> 00:05:58,716 Speaker 1: at the places where the states published their outbreak data, 94 00:05:59,116 --> 00:06:01,436 Speaker 1: the vast majority of the outbreaks are in places where 95 00:06:01,436 --> 00:06:06,036 Speaker 1: adults congregate. If you look at the childcare center outbreaks, 96 00:06:06,356 --> 00:06:10,436 Speaker 1: in the vast majority of cases, the number of adults 97 00:06:10,476 --> 00:06:13,476 Speaker 1: in the childcare center outbreaks outnumber the number of children 98 00:06:13,556 --> 00:06:16,636 Speaker 1: in those same outbreaks. And so what that tells me 99 00:06:17,636 --> 00:06:21,076 Speaker 1: is that, for whatever reason, reasons we don't understand, those 100 00:06:21,116 --> 00:06:23,596 Speaker 1: younger children seem to be less likely to get infected 101 00:06:23,636 --> 00:06:27,316 Speaker 1: because remember, those are in settings where they're being investigated, 102 00:06:27,316 --> 00:06:30,156 Speaker 1: they're being tested, and they're not finding the infections, and 103 00:06:30,156 --> 00:06:33,196 Speaker 1: those younger kids. So you again, i'd say all of 104 00:06:33,236 --> 00:06:36,196 Speaker 1: this today, it may change very soon as we learn more. 105 00:06:37,196 --> 00:06:40,756 Speaker 1: Speaking of changes over time, in June, you were the 106 00:06:40,876 --> 00:06:45,396 Speaker 1: lead author of a series of recommendations for school reopenings 107 00:06:45,396 --> 00:06:49,596 Speaker 1: produced by the American Academy of Pediatrics, and at the 108 00:06:49,636 --> 00:06:55,076 Speaker 1: time you were arguing to characterize your view that we 109 00:06:55,156 --> 00:06:58,396 Speaker 1: actually ought to be able to do a reasonable amount 110 00:06:58,996 --> 00:07:03,636 Speaker 1: of school reopening in person, more than some skeptics were 111 00:07:03,636 --> 00:07:05,716 Speaker 1: saying at the time. But that was a couple of 112 00:07:05,756 --> 00:07:09,116 Speaker 1: months ago. How are you thinking now about the guideline 113 00:07:09,396 --> 00:07:11,796 Speaker 1: that you wrote them? Yeah, just to be clear, those 114 00:07:11,836 --> 00:07:14,996 Speaker 1: guidelines were absolutely a team effort, and I did write 115 00:07:14,996 --> 00:07:16,556 Speaker 1: a lot of it, but there were a number of 116 00:07:16,636 --> 00:07:18,196 Speaker 1: us that worked on it, and it's not one of 117 00:07:18,196 --> 00:07:21,476 Speaker 1: those things that we claimed individual authorship on. It really 118 00:07:21,516 --> 00:07:24,316 Speaker 1: really was a team effort from the entire academy. But 119 00:07:25,036 --> 00:07:27,676 Speaker 1: in terms of that, I think, you know, in some 120 00:07:27,716 --> 00:07:29,756 Speaker 1: ways a lot has changed since then. In some ways 121 00:07:30,116 --> 00:07:33,356 Speaker 1: things have changed not at all. Right, So, I think 122 00:07:33,756 --> 00:07:36,396 Speaker 1: many of us who work in the fields of caring 123 00:07:36,396 --> 00:07:41,716 Speaker 1: for children, whether that's pediatricians or teachers, really recognize that 124 00:07:42,156 --> 00:07:45,916 Speaker 1: children really need to be in school. The impact that 125 00:07:46,196 --> 00:07:48,356 Speaker 1: children being at home is going to have It's going 126 00:07:48,356 --> 00:07:52,476 Speaker 1: to impact all children, but it's going to disproportionately impact 127 00:07:52,556 --> 00:07:56,836 Speaker 1: our most vulnerable. This pandemic has laid bare the just 128 00:07:58,436 --> 00:08:01,796 Speaker 1: mind boggling disparities that we have here in the US 129 00:08:01,876 --> 00:08:05,116 Speaker 1: in terms of how we take care of our poor, 130 00:08:05,116 --> 00:08:08,196 Speaker 1: how we take care of our elderly, and kids being 131 00:08:08,316 --> 00:08:11,076 Speaker 1: home from school is just going to widen those disparities 132 00:08:11,076 --> 00:08:14,076 Speaker 1: even further than they already are. So I still do 133 00:08:14,156 --> 00:08:16,956 Speaker 1: feel strongly that we somehow need to get kids back 134 00:08:16,956 --> 00:08:20,116 Speaker 1: in school. One of the things that happened shortly after 135 00:08:20,156 --> 00:08:24,476 Speaker 1: we released that guidance was that, in a sense, became weaponized. 136 00:08:24,916 --> 00:08:27,036 Speaker 1: It became a political tool to say we have to 137 00:08:27,036 --> 00:08:31,516 Speaker 1: open schools, and then it was being used in ways 138 00:08:31,516 --> 00:08:35,876 Speaker 1: that we're perhaps not for the betterment of children, but 139 00:08:36,156 --> 00:08:38,876 Speaker 1: for other reasons. We have to have schools open so 140 00:08:38,916 --> 00:08:41,636 Speaker 1: we can reopen the economy. You know, as you've seen 141 00:08:41,676 --> 00:08:46,396 Speaker 1: all along, where decisions about this pandemic are made for 142 00:08:46,516 --> 00:08:50,156 Speaker 1: political reasons. That's when things go the wrong direction. When 143 00:08:50,436 --> 00:08:53,596 Speaker 1: the decision makers are listening to the public health professionals 144 00:08:53,916 --> 00:08:57,716 Speaker 1: and the medical professionals regarding how to handle the pandemic, 145 00:08:57,796 --> 00:09:00,436 Speaker 1: that's where things have gone better. And so that's where 146 00:09:00,476 --> 00:09:02,196 Speaker 1: I say, you know, things have changed in some ways, 147 00:09:02,196 --> 00:09:04,956 Speaker 1: they're the same. I do really want to see all 148 00:09:05,036 --> 00:09:06,796 Speaker 1: kids back in school. I want to see my own 149 00:09:06,876 --> 00:09:09,836 Speaker 1: kids back in school. It's just not safe in many 150 00:09:09,836 --> 00:09:25,836 Speaker 1: many places. What you're describing is incredibly complicated. You know, 151 00:09:25,876 --> 00:09:27,876 Speaker 1: you said, and I completely agree with you, kids need 152 00:09:27,916 --> 00:09:31,076 Speaker 1: to be in school. On the other hand, you don't 153 00:09:31,076 --> 00:09:32,516 Speaker 1: want kids to be in school if it's going to 154 00:09:32,596 --> 00:09:36,476 Speaker 1: mean jump starting the pandemic and we're operating, you're operating 155 00:09:36,516 --> 00:09:41,156 Speaker 1: under tremendous uncertainty. How do you translate the quantifiable risk 156 00:09:41,756 --> 00:09:44,316 Speaker 1: on the one hand and then the more difficult to 157 00:09:44,396 --> 00:09:47,996 Speaker 1: quantify benefits of kids being in school on the other hand. Yeah, 158 00:09:47,996 --> 00:09:50,396 Speaker 1: that's the million dollar question, right. I think, you know, 159 00:09:50,836 --> 00:09:55,756 Speaker 1: we are stuck here between two unacceptable choices. So with 160 00:09:55,836 --> 00:09:59,236 Speaker 1: that in mind, I think what we have to do 161 00:09:59,356 --> 00:10:02,076 Speaker 1: is make decisions based on what we know and the 162 00:10:02,156 --> 00:10:05,356 Speaker 1: best evidence at the time. And so, you know, one 163 00:10:05,356 --> 00:10:08,036 Speaker 1: of the things that we haven't talked about that I 164 00:10:08,076 --> 00:10:11,916 Speaker 1: think is worth consider is looking to other countries. There 165 00:10:11,956 --> 00:10:15,276 Speaker 1: have been plenty of other countries who have been able 166 00:10:15,276 --> 00:10:18,876 Speaker 1: to successfully reopen schools not with zero transmission, but very 167 00:10:18,956 --> 00:10:22,396 Speaker 1: very minimal transmission. Now, the US as a whole is 168 00:10:22,396 --> 00:10:24,476 Speaker 1: certainly not in the same place as any of those 169 00:10:24,476 --> 00:10:28,956 Speaker 1: countries Denmark, Norway, South Korea, you all across the world. 170 00:10:28,996 --> 00:10:31,996 Speaker 1: There are places that have gotten a pandemic under control, 171 00:10:32,836 --> 00:10:35,076 Speaker 1: But there are places in the US that are Denmark. 172 00:10:35,396 --> 00:10:38,036 Speaker 1: So there are places that do have rates of transmission 173 00:10:38,076 --> 00:10:40,476 Speaker 1: similar to what they're seeing in those countries. And so 174 00:10:40,516 --> 00:10:43,796 Speaker 1: I think in those places, if we can use the 175 00:10:43,836 --> 00:10:47,396 Speaker 1: mitigation measures that we know work, then I think in 176 00:10:47,436 --> 00:10:51,476 Speaker 1: those places we can safely reopen schools. By safe, I 177 00:10:51,476 --> 00:10:54,716 Speaker 1: think we have to be clear we don't mean zero risk, 178 00:10:54,916 --> 00:10:57,276 Speaker 1: because there's nothing in our society right now that is 179 00:10:57,356 --> 00:11:00,796 Speaker 1: zero risk. And I should mention that just because schools 180 00:11:00,796 --> 00:11:02,796 Speaker 1: are closed doesn't mean that none of the students are 181 00:11:02,836 --> 00:11:04,476 Speaker 1: none of the teachers, or none of the staff are 182 00:11:04,516 --> 00:11:06,876 Speaker 1: not at risk for getting the infection. Right if it's 183 00:11:06,916 --> 00:11:09,916 Speaker 1: circulating the community, they're still at risk. And so it's 184 00:11:09,956 --> 00:11:13,756 Speaker 1: not as simple as a binary calculation. Open schools there 185 00:11:13,756 --> 00:11:16,396 Speaker 1: at risks, keep them closed, they're not. It's not that simple. 186 00:11:16,796 --> 00:11:20,796 Speaker 1: So I think in the places where the virus, when 187 00:11:20,796 --> 00:11:24,836 Speaker 1: it's under some degree of manageable control. Then you start 188 00:11:24,876 --> 00:11:28,836 Speaker 1: with the younger kids, so the childcare centers, the pre K. 189 00:11:29,476 --> 00:11:33,076 Speaker 1: Then you start with K through five, and as you 190 00:11:33,356 --> 00:11:38,756 Speaker 1: achieve success with those students and in those settings, then 191 00:11:38,916 --> 00:11:43,356 Speaker 1: you slowly reintroduce the older children and will also be 192 00:11:43,476 --> 00:11:46,396 Speaker 1: learning best practices along the way in terms of how 193 00:11:46,436 --> 00:11:48,676 Speaker 1: to manage the virus when it gets into school, etc. 194 00:11:49,276 --> 00:11:52,956 Speaker 1: You know success stories about how to encourage younger children 195 00:11:52,956 --> 00:11:56,316 Speaker 1: to wear their masks. You I'm sure seeing the picture 196 00:11:56,356 --> 00:11:58,516 Speaker 1: of that went viral from Georgia, I'm sure that's not 197 00:11:58,556 --> 00:12:01,316 Speaker 1: the only school where you know, kids were congregating and 198 00:12:01,356 --> 00:12:04,156 Speaker 1: not wearing masks. But you know you're not seeing the 199 00:12:04,196 --> 00:12:06,516 Speaker 1: pictures of the success stories, because there are there are 200 00:12:06,556 --> 00:12:09,836 Speaker 1: success stories already. A lot of schools are talking about 201 00:12:10,116 --> 00:12:14,196 Speaker 1: hybrid models, where they say, well, we can't necessarily accommodate 202 00:12:14,596 --> 00:12:16,636 Speaker 1: all of the students who are enrolled in our school 203 00:12:16,676 --> 00:12:19,876 Speaker 1: with social distancing, so we'll bring people in for a 204 00:12:19,876 --> 00:12:21,996 Speaker 1: couple days a week or three days a week in 205 00:12:22,036 --> 00:12:25,436 Speaker 1: a rotated fashion so that we have some in person 206 00:12:25,476 --> 00:12:28,676 Speaker 1: experience and then we switch back to the online. What's 207 00:12:28,676 --> 00:12:30,476 Speaker 1: your instinct about that? I mean, it sounds like a 208 00:12:30,476 --> 00:12:32,676 Speaker 1: good kind of Goldilock solution. You know, it's not too much, 209 00:12:32,836 --> 00:12:36,556 Speaker 1: not too little, but it also obviously will only work 210 00:12:36,636 --> 00:12:41,396 Speaker 1: decently in places where all the kids have reasonable access 211 00:12:41,476 --> 00:12:45,596 Speaker 1: to online learning possibilities. I agree it has some appeal, 212 00:12:45,956 --> 00:12:47,996 Speaker 1: but you know, when you really think about it, what 213 00:12:48,116 --> 00:12:51,116 Speaker 1: problems is it's solving. You know, yes, it does get 214 00:12:51,276 --> 00:12:55,676 Speaker 1: some face times, some socialization for students, but it doesn't 215 00:12:55,676 --> 00:13:00,076 Speaker 1: solve the problem of the disparities in internet access. It 216 00:13:00,156 --> 00:13:04,916 Speaker 1: doesn't solve the problems of trying to figure out how 217 00:13:04,956 --> 00:13:08,356 Speaker 1: a family handles a child in the home, particularly for 218 00:13:08,356 --> 00:13:12,956 Speaker 1: the younger children. And so I think it does offer 219 00:13:13,156 --> 00:13:16,076 Speaker 1: some potential solutions, but I think it's a short term solution. 220 00:13:17,036 --> 00:13:18,876 Speaker 1: I mean, I think you can probably speak to this 221 00:13:19,236 --> 00:13:23,556 Speaker 1: as well as I can having Zoom meetings. It doesn't 222 00:13:23,556 --> 00:13:25,876 Speaker 1: work as well as having an in person meeting. People 223 00:13:25,916 --> 00:13:29,276 Speaker 1: are easily distracted. I can't imagine how easily distracted I 224 00:13:29,276 --> 00:13:32,076 Speaker 1: would have been as a high school student. I'm distracted 225 00:13:32,196 --> 00:13:34,316 Speaker 1: enough when I try to have Zoom meetings, right, So 226 00:13:34,396 --> 00:13:37,236 Speaker 1: I think trying to show that that that's going to 227 00:13:37,276 --> 00:13:39,476 Speaker 1: be a good educational model I think doesn't really make 228 00:13:39,516 --> 00:13:40,676 Speaker 1: a lot of sense. I mean, is it going to 229 00:13:40,716 --> 00:13:43,716 Speaker 1: work for some students, sure, but for the majority of students, 230 00:13:43,756 --> 00:13:47,156 Speaker 1: I think it's less than optimal relative to in person learning. 231 00:13:48,356 --> 00:13:52,356 Speaker 1: I know you actually got COVID early in this process, 232 00:13:52,676 --> 00:13:54,676 Speaker 1: and I think from what I read that your wife 233 00:13:54,716 --> 00:13:57,756 Speaker 1: did too. So first, I hope you guys are feeling 234 00:13:57,916 --> 00:14:01,556 Speaker 1: better now. Yeah, so we both got pretty sick. We 235 00:14:01,556 --> 00:14:04,036 Speaker 1: weren't hospitalized, but I was sick for about two weeks. 236 00:14:04,036 --> 00:14:06,156 Speaker 1: She was sick for about three weeks. She was a 237 00:14:06,156 --> 00:14:08,396 Speaker 1: little sicker than I was, and it was, you know, 238 00:14:08,516 --> 00:14:11,076 Speaker 1: as advertise, it was pretty miserable. It is one of 239 00:14:11,076 --> 00:14:15,676 Speaker 1: the many frustrating and but fascinating aspects of this virus 240 00:14:15,676 --> 00:14:18,596 Speaker 1: that you know forty percent of people are asymptomatic, because 241 00:14:18,596 --> 00:14:21,876 Speaker 1: we sure weren't. But I actually have ended up being 242 00:14:21,916 --> 00:14:24,436 Speaker 1: one of those long haulers. So I don't know if 243 00:14:24,436 --> 00:14:26,356 Speaker 1: you've heard much about that. But I was well for 244 00:14:26,356 --> 00:14:31,036 Speaker 1: about two weeks and then was you know, had gotten back. 245 00:14:31,076 --> 00:14:33,036 Speaker 1: I'm a runner and I'd gotten back into running, and 246 00:14:33,236 --> 00:14:35,036 Speaker 1: I guess I just pushed it a little bit too much. 247 00:14:35,116 --> 00:14:39,436 Speaker 1: Then after a long run one day, I said, WHOA, 248 00:14:39,516 --> 00:14:42,716 Speaker 1: that feels like when I was sick. And that's pretty 249 00:14:42,796 --> 00:14:46,436 Speaker 1: much happened since then, so you know, I'm functioning. I'm okay, 250 00:14:46,836 --> 00:14:48,516 Speaker 1: you know. And some of the people that have these 251 00:14:48,556 --> 00:14:50,916 Speaker 1: long term symptoms are most it sounds like, are much 252 00:14:50,916 --> 00:14:53,636 Speaker 1: worse off than me. They're having ongoing fevers and severe headaches. 253 00:14:53,916 --> 00:14:56,596 Speaker 1: I just have some some chest tightness and sort of 254 00:14:56,596 --> 00:14:59,476 Speaker 1: occasional malaise. I would call it just feeling kind of 255 00:14:59,516 --> 00:15:02,196 Speaker 1: lousy that kind of comes and goes in a in 256 00:15:02,276 --> 00:15:06,196 Speaker 1: a fairly unpredictable fashion. But it's a very, very strange virus. 257 00:15:06,196 --> 00:15:09,516 Speaker 1: It's like nothing I've ever felt before. And through this, 258 00:15:09,636 --> 00:15:11,756 Speaker 1: your kids manage not to get it. Yeah, well that's 259 00:15:11,756 --> 00:15:14,636 Speaker 1: another thing, right, there's my n of two, my two kids. 260 00:15:15,276 --> 00:15:17,956 Speaker 1: We initially had thought that perhaps we got it from 261 00:15:17,996 --> 00:15:20,676 Speaker 1: them because we got sick around the same time, which 262 00:15:20,676 --> 00:15:23,236 Speaker 1: suggested a common exposure, rather than say you bring it 263 00:15:23,276 --> 00:15:25,196 Speaker 1: home from the hospital. Right. So, No, I was not 264 00:15:25,556 --> 00:15:27,836 Speaker 1: doing any clinical time at that point. My wife was, 265 00:15:28,276 --> 00:15:30,596 Speaker 1: and so it's possible that she picked it up at clinic. 266 00:15:30,636 --> 00:15:33,196 Speaker 1: It was before that people were being really careful because 267 00:15:33,196 --> 00:15:36,196 Speaker 1: this was in March, so it's possible. Although I got 268 00:15:36,196 --> 00:15:39,116 Speaker 1: sick only twelve hours after she did, but our kids 269 00:15:39,156 --> 00:15:41,796 Speaker 1: never got sick. We actually had their antibodies tested and 270 00:15:41,876 --> 00:15:45,236 Speaker 1: they were negative. So you know, there's my n of 271 00:15:45,276 --> 00:15:47,436 Speaker 1: two that kids are less likely to get infected. I 272 00:15:47,596 --> 00:15:50,236 Speaker 1: don't know. You know, we were both sick enough that 273 00:15:50,236 --> 00:15:52,476 Speaker 1: we were not being particularly good about distancing with our 274 00:15:52,516 --> 00:15:58,356 Speaker 1: kids in the house. When you think about the broader 275 00:15:58,396 --> 00:16:02,916 Speaker 1: cultural implications of this period of time for kids, how 276 00:16:02,956 --> 00:16:05,716 Speaker 1: do you imagine they're going to come to make sense 277 00:16:05,756 --> 00:16:08,956 Speaker 1: of this over the long run. And obviously that's going 278 00:16:08,996 --> 00:16:11,996 Speaker 1: to be different if a year from now we have 279 00:16:12,036 --> 00:16:14,756 Speaker 1: evidence of vaccines working and we have distribution of vaccines 280 00:16:14,756 --> 00:16:17,036 Speaker 1: and things go back to normal, then it will be 281 00:16:17,156 --> 00:16:19,036 Speaker 1: if a year from now we instead think that the 282 00:16:19,076 --> 00:16:23,236 Speaker 1: vaccines don't work that well, or perhaps you know, heaven forbid, 283 00:16:23,276 --> 00:16:27,236 Speaker 1: don't work at all, and we start to reintegrate our 284 00:16:27,236 --> 00:16:30,956 Speaker 1: lives sort of accepting a high probability of getting the virus. 285 00:16:31,076 --> 00:16:33,836 Speaker 1: But when you think just right now about what life 286 00:16:33,916 --> 00:16:36,556 Speaker 1: is like for kids, how do you think they're going 287 00:16:36,596 --> 00:16:39,476 Speaker 1: to make sense of this over the course of their lives. Yeah, 288 00:16:39,556 --> 00:16:43,516 Speaker 1: that's a really interesting question. I actually when this all started, 289 00:16:44,356 --> 00:16:47,196 Speaker 1: even you know, in February, I was trying to encourage 290 00:16:47,196 --> 00:16:50,316 Speaker 1: my kids to write a journal this is a historic time. 291 00:16:50,356 --> 00:16:53,676 Speaker 1: There's probably hopefully that could be another time like this 292 00:16:53,756 --> 00:16:57,316 Speaker 1: in our lifetimes. How'd that work out for you? Well, yeah, 293 00:16:57,076 --> 00:17:02,676 Speaker 1: they have not. I encouraged it, but they haven't, So 294 00:17:02,796 --> 00:17:04,876 Speaker 1: I don't know. I mean, I think it's fascinating. I 295 00:17:04,876 --> 00:17:06,796 Speaker 1: don't think I have a thing I can look back 296 00:17:06,796 --> 00:17:08,636 Speaker 1: on in my lifetime and say, oh, they're going to 297 00:17:08,676 --> 00:17:11,076 Speaker 1: remember it that because we really have not experienced this. 298 00:17:11,716 --> 00:17:15,036 Speaker 1: You know, kids are fairly resilient, and I do think, 299 00:17:15,156 --> 00:17:16,716 Speaker 1: you know, the majority of kids are going to be 300 00:17:16,756 --> 00:17:18,636 Speaker 1: able to bounce back from this when we get into 301 00:17:18,676 --> 00:17:23,516 Speaker 1: a new time. But boy, I can't wait to get 302 00:17:23,516 --> 00:17:25,676 Speaker 1: to the other side of this and see. I mean, 303 00:17:25,716 --> 00:17:29,796 Speaker 1: I have to say, I'm astonished by how well my 304 00:17:29,916 --> 00:17:32,156 Speaker 1: kids have dealt with it. And I can't make out 305 00:17:32,196 --> 00:17:34,956 Speaker 1: whether it's because of the famous resilience of kids, which 306 00:17:34,956 --> 00:17:37,156 Speaker 1: I would like to be the answer, or because so 307 00:17:37,276 --> 00:17:41,156 Speaker 1: much of their social experience was already online that they're 308 00:17:41,196 --> 00:17:43,836 Speaker 1: able to have much more continuity in terms of it 309 00:17:43,916 --> 00:17:45,916 Speaker 1: being a percentage of what their social life is like 310 00:17:46,476 --> 00:17:49,036 Speaker 1: than it was true for me or for other adults 311 00:17:49,076 --> 00:17:51,956 Speaker 1: who aren't digital natives. That's a really good point. I mean, 312 00:17:51,996 --> 00:17:54,676 Speaker 1: my kids have sort of been the same. I mean, 313 00:17:54,916 --> 00:17:57,476 Speaker 1: you know, this is a whole other conversation, but what 314 00:17:57,676 --> 00:18:00,476 Speaker 1: is the impact of all this digital time on our kids? 315 00:17:59,916 --> 00:18:03,156 Speaker 1: All this screen time. It's I've certainly watched my fair 316 00:18:03,156 --> 00:18:05,596 Speaker 1: share TV when I was growing up. I also was, 317 00:18:05,956 --> 00:18:09,436 Speaker 1: like many other kids, out playing, probably at least as much, 318 00:18:09,476 --> 00:18:11,156 Speaker 1: you know, with the kids in the neighborhood as I 319 00:18:11,196 --> 00:18:14,916 Speaker 1: was watching TV, if not more. Whereas you know, nowadays, 320 00:18:14,956 --> 00:18:17,356 Speaker 1: I think of many many kids are spending much much 321 00:18:17,396 --> 00:18:20,836 Speaker 1: more time on screens, and I think that, in reality, 322 00:18:20,876 --> 00:18:23,196 Speaker 1: you know, may have a bigger impact on our kids 323 00:18:23,196 --> 00:18:25,916 Speaker 1: than this pandemic. But I don't think any of us 324 00:18:25,916 --> 00:18:28,956 Speaker 1: really knows what that means in the longer term. Let 325 00:18:28,956 --> 00:18:31,956 Speaker 1: me close by asking you a kind of what if question. 326 00:18:32,876 --> 00:18:37,556 Speaker 1: As we get these reopenings, and as some districts, even 327 00:18:37,596 --> 00:18:42,596 Speaker 1: districts with low prevalence numbers, reopen and then get salient 328 00:18:42,916 --> 00:18:47,916 Speaker 1: cases transmitted in schools, there's going to be some reaction, 329 00:18:48,716 --> 00:18:51,196 Speaker 1: and it could be in the line of panic reaction, 330 00:18:51,276 --> 00:18:55,036 Speaker 1: Oh no, we have cases, let's shut everything down, or 331 00:18:55,076 --> 00:18:58,636 Speaker 1: it could be a more moderated reaction in the form of, well, statistically, 332 00:18:58,676 --> 00:19:01,596 Speaker 1: if we do this in lots of places. Inevitably, they're 333 00:19:01,636 --> 00:19:03,476 Speaker 1: going to be some places where the numbers are going 334 00:19:03,516 --> 00:19:06,396 Speaker 1: to go up. So let's all, you know, keep our 335 00:19:06,396 --> 00:19:08,876 Speaker 1: clothes on and try to be rational and move slowly. 336 00:19:09,356 --> 00:19:13,516 Speaker 1: This My questions are too, First, which should be the reaction. 337 00:19:13,556 --> 00:19:18,156 Speaker 1: Should we say, oh, this isn't working broader shutdowns or 338 00:19:18,196 --> 00:19:21,156 Speaker 1: should we be a little more cautious about it? And second, 339 00:19:21,276 --> 00:19:24,476 Speaker 1: what do you think will actually happen in the real world. Well, 340 00:19:24,636 --> 00:19:26,916 Speaker 1: you know, the reality is happening already in some of 341 00:19:26,916 --> 00:19:30,196 Speaker 1: the places where schools have opened, and unfortunately, the examples 342 00:19:30,196 --> 00:19:33,636 Speaker 1: are getting in the news media are in the places where, 343 00:19:33,916 --> 00:19:37,036 Speaker 1: you know, where there's widespread community transmission, where it's completely 344 00:19:37,036 --> 00:19:39,796 Speaker 1: not a surprise that they've had those problems. I do 345 00:19:39,956 --> 00:19:43,796 Speaker 1: think we need to have rational conversations about how to 346 00:19:43,836 --> 00:19:46,476 Speaker 1: handle it. We also need to recognize that it's going 347 00:19:46,476 --> 00:19:48,716 Speaker 1: to happen. I mean, it's it's inevitable that there will 348 00:19:48,756 --> 00:19:51,716 Speaker 1: be cases in schools, just as it's inevitable that there 349 00:19:51,716 --> 00:19:54,076 Speaker 1: will be cases in the community. So we have to 350 00:19:54,156 --> 00:19:56,996 Speaker 1: prepare for that. We have to plan for that, and 351 00:19:57,356 --> 00:19:59,716 Speaker 1: you know, the districts and public health departments around the 352 00:19:59,756 --> 00:20:02,996 Speaker 1: country are are already doing that. They're making those plans 353 00:20:02,996 --> 00:20:05,076 Speaker 1: for what happens when a student gets sick, what happens 354 00:20:05,076 --> 00:20:07,596 Speaker 1: when a teacher gets sick, you know, as you put it, Yeah, 355 00:20:07,596 --> 00:20:10,836 Speaker 1: and we need to have a measured response to that 356 00:20:10,876 --> 00:20:14,036 Speaker 1: and not close at the first sign of an infection 357 00:20:14,076 --> 00:20:18,316 Speaker 1: has been transmitted in school. Now, if we do see 358 00:20:19,396 --> 00:20:21,116 Speaker 1: I think this is not going to be the case. 359 00:20:21,556 --> 00:20:25,756 Speaker 1: But for example, if we do see that in places 360 00:20:25,756 --> 00:20:27,916 Speaker 1: where there is low community transmission, that all of a 361 00:20:27,996 --> 00:20:31,876 Speaker 1: sudden the schools become sort of these super spreader events, 362 00:20:32,156 --> 00:20:34,716 Speaker 1: then we have to take a big step back. I 363 00:20:34,796 --> 00:20:36,956 Speaker 1: don't think that's going to happen, though, because if you 364 00:20:36,996 --> 00:20:39,876 Speaker 1: look at the countries where they've done it right, that's 365 00:20:39,916 --> 00:20:42,916 Speaker 1: not been the case. To me. The hard part is 366 00:20:42,916 --> 00:20:45,276 Speaker 1: going to be we are a big country. Lots of 367 00:20:45,316 --> 00:20:48,636 Speaker 1: places are going to reopen, and it's going to happen somewhere. 368 00:20:49,396 --> 00:20:51,076 Speaker 1: I mean, when you say it's not going to happen, 369 00:20:51,116 --> 00:20:53,116 Speaker 1: I agree with you that on the whole. Statistically, the 370 00:20:53,116 --> 00:20:55,836 Speaker 1: best reading of the statistics is that probabilistically it won't 371 00:20:55,836 --> 00:20:58,196 Speaker 1: happen in many, many, many places. But it's just in 372 00:20:58,196 --> 00:21:00,756 Speaker 1: the nature of an experiment with a large n that 373 00:21:00,956 --> 00:21:04,316 Speaker 1: some outlying events will occur, and then in our media world, 374 00:21:04,516 --> 00:21:07,196 Speaker 1: it's guaranteed that those will be the ones that get 375 00:21:07,236 --> 00:21:10,436 Speaker 1: the salient news coverage. And that to me is where 376 00:21:10,436 --> 00:21:12,836 Speaker 1: the rubber meets the road. You know, when there's one 377 00:21:12,916 --> 00:21:15,396 Speaker 1: school district or two school districts or even five around 378 00:21:15,436 --> 00:21:18,796 Speaker 1: the country that do have super spreader events and those 379 00:21:18,836 --> 00:21:22,076 Speaker 1: are being splashed all over the television, then what does 380 00:21:22,116 --> 00:21:24,636 Speaker 1: everybody else do? That is a moment where people will 381 00:21:24,636 --> 00:21:27,556 Speaker 1: come to you and say, okay, doctor Larry, tell us 382 00:21:27,596 --> 00:21:30,716 Speaker 1: what to do, and how will you try to differentiate 383 00:21:30,756 --> 00:21:36,276 Speaker 1: in that moment between outlying cases and a trend that 384 00:21:36,396 --> 00:21:39,316 Speaker 1: does look like, boy, we need to reevaluate in light 385 00:21:39,356 --> 00:21:42,596 Speaker 1: of the new data. You know, my approach. I think 386 00:21:42,676 --> 00:21:45,276 Speaker 1: for many of us, our approach has been all along 387 00:21:45,796 --> 00:21:48,916 Speaker 1: to just keep a very open mind and recognize that 388 00:21:48,956 --> 00:21:50,996 Speaker 1: there's a lot we don't understand right now about this 389 00:21:51,076 --> 00:21:53,436 Speaker 1: virus and that we're learning more every day. And I 390 00:21:53,476 --> 00:21:56,316 Speaker 1: think we have to take that approach going forward and 391 00:21:56,636 --> 00:21:59,436 Speaker 1: be ready to change course and not have our heels 392 00:21:59,516 --> 00:22:02,676 Speaker 1: dug in that our course of action is correct. So 393 00:22:02,756 --> 00:22:05,076 Speaker 1: I think that's the first thing. The other thing, you know, 394 00:22:05,116 --> 00:22:07,516 Speaker 1: I'm Sarmont Colorado. And one of the things that we 395 00:22:07,676 --> 00:22:10,916 Speaker 1: are trying to do is set up you know, somewhat 396 00:22:10,916 --> 00:22:12,716 Speaker 1: of a buddy system for lack of a better word, 397 00:22:13,156 --> 00:22:18,916 Speaker 1: between physicians, pediatricians, internists, family docs, and school districts and 398 00:22:19,036 --> 00:22:22,796 Speaker 1: teachers so that we can all be in these conversations together, 399 00:22:23,476 --> 00:22:25,476 Speaker 1: you know, the folks that are on the ground making 400 00:22:25,476 --> 00:22:28,756 Speaker 1: these decisions, to be able to have a dialogue so 401 00:22:28,796 --> 00:22:31,756 Speaker 1: that everyone is on the same page. Okay, we've got 402 00:22:31,796 --> 00:22:34,956 Speaker 1: too many cases. Now we need to stop. Let's reevaluate 403 00:22:35,196 --> 00:22:37,156 Speaker 1: and work together to figure out how we're going to 404 00:22:37,156 --> 00:22:41,716 Speaker 1: reopen schools. Because when you have these factions of you know, say, 405 00:22:42,036 --> 00:22:44,636 Speaker 1: a group of teachers and a group of you know, 406 00:22:44,716 --> 00:22:47,156 Speaker 1: medical professionals, and a group of public health folks and 407 00:22:47,196 --> 00:22:50,436 Speaker 1: a group of politicians all saying different things, obviously it's 408 00:22:50,516 --> 00:22:53,516 Speaker 1: that's not going to work. I want to thank you 409 00:22:53,596 --> 00:22:55,796 Speaker 1: for your time today, but also for the work you're 410 00:22:55,796 --> 00:22:59,156 Speaker 1: doing to try to bring reason and logic to some 411 00:22:59,396 --> 00:23:04,996 Speaker 1: very very difficult decisions under really really challenging conditions. Thank 412 00:23:04,996 --> 00:23:07,596 Speaker 1: you for that. And I also hope that your symptoms 413 00:23:07,596 --> 00:23:08,956 Speaker 1: ease and you can get back to running. I know 414 00:23:08,956 --> 00:23:12,276 Speaker 1: that to lose the endorphin rush is pretty devastating in 415 00:23:12,356 --> 00:23:14,476 Speaker 1: its own right. Yeah, thank you very much. I really 416 00:23:14,476 --> 00:23:24,916 Speaker 1: really enjoyed talking to me. Listening to doctor O'Leary really 417 00:23:24,956 --> 00:23:30,076 Speaker 1: brought home to me the almost impossibility of making well 418 00:23:30,236 --> 00:23:34,316 Speaker 1: thought through choices about questions as difficult and as fraught 419 00:23:34,516 --> 00:23:38,996 Speaker 1: as reopening schools. First, there's the business of trying to 420 00:23:39,036 --> 00:23:42,556 Speaker 1: balance two things that aren't obviously comparable to each other. 421 00:23:43,196 --> 00:23:45,876 Speaker 1: Kids need to be in school and the benefits of 422 00:23:45,916 --> 00:23:48,436 Speaker 1: their exposure to education and to other kids on the 423 00:23:48,436 --> 00:23:51,236 Speaker 1: one hand, and the risk of the transmission of the 424 00:23:51,236 --> 00:23:55,676 Speaker 1: coronavirus on the other hand. Then there's the problem of 425 00:23:55,676 --> 00:24:00,076 Speaker 1: how school districts, run usually by elected public officials who 426 00:24:00,116 --> 00:24:04,276 Speaker 1: operate in interaction with teachers and teachers unions can make 427 00:24:04,396 --> 00:24:07,836 Speaker 1: good decisions in the light of the advice they're getting 428 00:24:07,996 --> 00:24:12,716 Speaker 1: from the scientific and medical community, without being unduly influenced 429 00:24:12,756 --> 00:24:16,556 Speaker 1: by the pressures of the outside world, but positively taking 430 00:24:16,556 --> 00:24:19,916 Speaker 1: into account the preferences of the public. That's an even 431 00:24:19,996 --> 00:24:24,196 Speaker 1: harder problem. Finally, take this entire mess and throw it 432 00:24:24,236 --> 00:24:28,356 Speaker 1: into an election year cycle, and it becomes almost impossible 433 00:24:28,596 --> 00:24:31,516 Speaker 1: to imagine this decision making process proceeding in a way 434 00:24:31,556 --> 00:24:34,676 Speaker 1: that's satisfactory. Add to that the fact that this is 435 00:24:34,676 --> 00:24:37,636 Speaker 1: the United States and we have thousands upon thousands of 436 00:24:37,676 --> 00:24:40,036 Speaker 1: school districts all over the country that will have to 437 00:24:40,076 --> 00:24:45,716 Speaker 1: make independent, decentralized decisions, all under very different local conditions. 438 00:24:46,556 --> 00:24:49,836 Speaker 1: Given all this complexity, what Sean has done is to 439 00:24:49,876 --> 00:24:51,876 Speaker 1: lay out for us what he thinks we should be 440 00:24:51,916 --> 00:24:54,996 Speaker 1: thinking about. We should be thinking about the rate of 441 00:24:55,076 --> 00:24:58,476 Speaker 1: community transmission. We should be thinking about the value to 442 00:24:58,556 --> 00:25:01,236 Speaker 1: kids of being in a social situation and of getting 443 00:25:01,236 --> 00:25:05,196 Speaker 1: an education. We should be thinking about the vast, morally 444 00:25:05,236 --> 00:25:10,636 Speaker 1: troubling disparities in wealth and in background, and in socioeconomic 445 00:25:10,716 --> 00:25:15,716 Speaker 1: status and in race that have inflected the entire COVID process, 446 00:25:15,756 --> 00:25:18,436 Speaker 1: and which are very very present when it comes to 447 00:25:18,476 --> 00:25:21,076 Speaker 1: figuring out who goes to school and who can learn 448 00:25:21,076 --> 00:25:24,796 Speaker 1: at home, and what conditions obtain in both of those situations. 449 00:25:25,196 --> 00:25:27,596 Speaker 1: We are, after all, talking about an educational system in 450 00:25:27,596 --> 00:25:31,636 Speaker 1: the United States that itself is plagued by disparities associated 451 00:25:31,676 --> 00:25:36,076 Speaker 1: with wealth, even when there's no pandemic going on. Last, 452 00:25:36,076 --> 00:25:39,356 Speaker 1: but not least, Sean is urging us and officials in 453 00:25:39,436 --> 00:25:43,156 Speaker 1: schools to use some common sense to be rational in 454 00:25:43,316 --> 00:25:46,796 Speaker 1: updating in the light of new information, but simultaneously not 455 00:25:46,836 --> 00:25:49,876 Speaker 1: to treat outlying cases as though they're a sign that 456 00:25:49,916 --> 00:25:53,636 Speaker 1: we should absolutely reverse course. Probably for me, that's the 457 00:25:53,676 --> 00:25:58,276 Speaker 1: most powerful lesson here. We should not be jumping to conclusions. 458 00:25:58,556 --> 00:26:03,116 Speaker 1: We should be acting cautiously and carefully, weighing and balancing 459 00:26:03,156 --> 00:26:06,276 Speaker 1: different values, and understanding that the choices that we face 460 00:26:06,556 --> 00:26:11,276 Speaker 1: are in some way unacceptable choice. Nevertheless, they are the 461 00:26:11,356 --> 00:26:14,556 Speaker 1: choices that we are being forced to make. I won't 462 00:26:14,556 --> 00:26:16,756 Speaker 1: say that I walked away from my conversation with Sean 463 00:26:16,836 --> 00:26:20,036 Speaker 1: feeling more optimistic about our ability to make these decisions well, 464 00:26:20,556 --> 00:26:23,196 Speaker 1: but it was a reminder that they have to be made, 465 00:26:23,476 --> 00:26:26,636 Speaker 1: whether we like it or not. Until the next time 466 00:26:26,676 --> 00:26:31,396 Speaker 1: we speak. Be careful, be safe, and be well. Deep 467 00:26:31,436 --> 00:26:34,676 Speaker 1: Background is brought to you by Pushkin Industries. Our producer 468 00:26:34,756 --> 00:26:37,836 Speaker 1: is Lydia Jane Cott, with mastering by Jason Gambrell and 469 00:26:37,916 --> 00:26:42,236 Speaker 1: Martin Gonzalez. Our showrunner is Sophia mckibbon. Our theme music 470 00:26:42,316 --> 00:26:45,316 Speaker 1: is composed by Luis GERA special thanks to the Pushkin 471 00:26:45,356 --> 00:26:50,036 Speaker 1: Brass Malcolm Gladwell, Jacob Weisberg, and Mia Lobel. I'm Noah Feldman. 472 00:26:50,436 --> 00:26:53,276 Speaker 1: I also write a regular column for Bloomberg Opinion, which 473 00:26:53,316 --> 00:26:57,076 Speaker 1: you can find at Bloomberg dot com slash Feldman. To 474 00:26:57,156 --> 00:27:00,636 Speaker 1: discover of Bloomberg's original slate of podcasts, go to Bloomberg 475 00:27:00,676 --> 00:27:04,876 Speaker 1: dot com slash Podcasts. And one last thing. I just 476 00:27:04,916 --> 00:27:07,916 Speaker 1: wrote a book called The Arab Winter, A Tragedy. I 477 00:27:07,956 --> 00:27:10,356 Speaker 1: would be delighted if you check it out. If you 478 00:27:10,436 --> 00:27:13,276 Speaker 1: liked what you heard today, please write a review or 479 00:27:13,356 --> 00:27:15,516 Speaker 1: tell a friend. You can always let me know what 480 00:27:15,556 --> 00:27:18,436 Speaker 1: you think on Twitter. My handle is Noah r Felt. 481 00:27:19,156 --> 00:27:20,796 Speaker 1: This is deep background