1 00:00:00,920 --> 00:00:05,880 Speaker 1: Welcome to Prognosis. I'm Laura Carlson. It's day one hundred 2 00:00:05,920 --> 00:00:11,360 Speaker 1: and eighty since coronavirus was declared a global pandemic. Today's 3 00:00:11,400 --> 00:00:17,400 Speaker 1: main story the reopening of schools. It's September seven, and 4 00:00:17,480 --> 00:00:20,639 Speaker 1: by the middle of this month, nearly all teachers, students 5 00:00:20,720 --> 00:00:24,280 Speaker 1: and parents will be back in the school season swing. 6 00:00:25,160 --> 00:00:28,240 Speaker 1: Of course, that will look pretty different from one place 7 00:00:28,280 --> 00:00:31,120 Speaker 1: to the next. Some kids will be back in school 8 00:00:31,320 --> 00:00:34,720 Speaker 1: at their desks, others meeting in special pods with a 9 00:00:34,800 --> 00:00:41,199 Speaker 1: handful of classmates, or they'll be home tethered to their chromebooks. Today, 10 00:00:41,320 --> 00:00:45,320 Speaker 1: with the help of trade Offs, a podcast about our costly, complicated, 11 00:00:45,479 --> 00:00:49,800 Speaker 1: and counterintuitive health care system, we explore how educators and 12 00:00:49,920 --> 00:00:54,640 Speaker 1: families are navigating what we know and don't know about 13 00:00:54,680 --> 00:00:59,560 Speaker 1: the risks of restarting school during a pandemic. From the 14 00:00:59,640 --> 00:01:03,480 Speaker 1: Anna Burke Studio at the University of Pennsylvania. A conversation 15 00:01:03,520 --> 00:01:08,679 Speaker 1: with Brown University economist Emily Auster about the tough choices 16 00:01:09,040 --> 00:01:15,240 Speaker 1: schools and families are facing this fall. Dan Gorenstein reports, 17 00:01:20,680 --> 00:01:24,319 Speaker 1: so Emily, we've seen lots of places, including big districts 18 00:01:24,360 --> 00:01:28,440 Speaker 1: like Philadelphia, Houston, and Chicago, opt to open online this fall, 19 00:01:29,000 --> 00:01:32,680 Speaker 1: while other places and even whole states are opening in person. 20 00:01:33,400 --> 00:01:37,240 Speaker 1: In the broadest sense, what's driving schools to go the 21 00:01:37,400 --> 00:01:41,320 Speaker 1: online route? So I think there's basically two things. So 22 00:01:41,440 --> 00:01:44,360 Speaker 1: one is this decision feels safe from a public health 23 00:01:44,360 --> 00:01:48,400 Speaker 1: standpoint when we are so focused on COVID transmission. It 24 00:01:48,440 --> 00:01:50,360 Speaker 1: feels like, you know, if we open in people around, 25 00:01:50,360 --> 00:01:52,720 Speaker 1: then there will be some transmission, and the safest thing 26 00:01:52,760 --> 00:01:54,920 Speaker 1: is to not open at all, and so they'll be 27 00:01:55,000 --> 00:01:57,800 Speaker 1: less COVID. I think the other piece of it is 28 00:01:57,840 --> 00:01:59,880 Speaker 1: that what a lot of school districts are struggling with 29 00:02:00,080 --> 00:02:02,040 Speaker 1: is the realization that if they do open in person, 30 00:02:02,080 --> 00:02:03,680 Speaker 1: there's a chance that they will have to at some 31 00:02:03,760 --> 00:02:08,040 Speaker 1: point go back to be remote if the situation gets worse. 32 00:02:08,080 --> 00:02:11,400 Speaker 1: And I think thinking about that transition and how one 33 00:02:11,440 --> 00:02:13,880 Speaker 1: could manage that, that's really complicated. And I think that 34 00:02:14,040 --> 00:02:16,760 Speaker 1: for many places, this is the thing which we may 35 00:02:16,800 --> 00:02:18,720 Speaker 1: have to do anyway, so we want to start there. 36 00:02:18,720 --> 00:02:20,839 Speaker 1: So I think I think all of those things are 37 00:02:21,000 --> 00:02:24,640 Speaker 1: going on. Emily has built her career on helping people, 38 00:02:24,960 --> 00:02:28,920 Speaker 1: often parents, making better choices with better data. When it 39 00:02:28,960 --> 00:02:32,760 Speaker 1: comes to schools opening online, Emily worries too many districts 40 00:02:32,800 --> 00:02:36,280 Speaker 1: are focused on COVID concerns and paying less attention to 41 00:02:36,320 --> 00:02:42,560 Speaker 1: the downsides to online learning. Emily keeping schools closed has 42 00:02:42,840 --> 00:02:48,000 Speaker 1: lots of repercussions. That's walked through a couple of them. First, many, 43 00:02:48,080 --> 00:02:51,240 Speaker 1: if not most school districts went remote in the spring. 44 00:02:51,680 --> 00:02:55,120 Speaker 1: What's the data suggest that actually happened to those students? 45 00:02:55,240 --> 00:02:57,920 Speaker 1: Did learning end up suffering? I know in the case 46 00:02:57,960 --> 00:03:00,760 Speaker 1: of my uh soon to be fifteen year old and 47 00:03:00,760 --> 00:03:03,600 Speaker 1: soon to be thirteen year old, it did. Yeah, I 48 00:03:03,600 --> 00:03:06,120 Speaker 1: mean I think certainly if you talk to parents, they 49 00:03:06,120 --> 00:03:07,800 Speaker 1: will tell you that their kids did not learn as 50 00:03:07,880 --> 00:03:10,000 Speaker 1: much in the spring as they think that they would 51 00:03:10,040 --> 00:03:12,280 Speaker 1: have if they had been in school. And you know, 52 00:03:12,320 --> 00:03:13,760 Speaker 1: we do have a little bit of data on this. 53 00:03:13,840 --> 00:03:17,520 Speaker 1: I think the best evidence comes from this company called 54 00:03:17,600 --> 00:03:23,720 Speaker 1: zern Zerne is an online program that walks kids through 55 00:03:23,760 --> 00:03:27,080 Speaker 1: math lessons, and kids across the country used it before 56 00:03:27,160 --> 00:03:31,399 Speaker 1: we all went online. Starting in the spring, lesson completion 57 00:03:31,639 --> 00:03:36,400 Speaker 1: dropped In district's with the lowest income levels, lessons dropped. 58 00:03:38,040 --> 00:03:41,480 Speaker 1: So we're seeing even in something where it was already 59 00:03:41,520 --> 00:03:44,160 Speaker 1: a computerized experience, you would think it would be relatively 60 00:03:44,240 --> 00:03:46,960 Speaker 1: straightforward to poured into doing it at home, but it 61 00:03:47,520 --> 00:03:52,560 Speaker 1: really tanked. How comfortable and confident are you to site 62 00:03:52,640 --> 00:03:56,000 Speaker 1: Zerne and say, yeah, this probably is a leading indicator 63 00:03:56,080 --> 00:03:59,600 Speaker 1: to suggest learning really did suffer across the country. That 64 00:03:59,800 --> 00:04:03,840 Speaker 1: is the sharpest piece of data. What's useful about it 65 00:04:03,880 --> 00:04:05,760 Speaker 1: is it aligns with a lot of what people are 66 00:04:05,800 --> 00:04:09,680 Speaker 1: saying anecdotally if you talk to teachers in school districts, 67 00:04:10,080 --> 00:04:12,080 Speaker 1: or if you look at numbers like what share of 68 00:04:12,160 --> 00:04:16,360 Speaker 1: kids logged on to online learning, it's not and it's 69 00:04:16,400 --> 00:04:18,320 Speaker 1: not close to the share of kids who are showing 70 00:04:18,360 --> 00:04:20,440 Speaker 1: up in person. So I think we have a bunch 71 00:04:20,480 --> 00:04:23,600 Speaker 1: of these pieces of data, and almost everything we see 72 00:04:23,680 --> 00:04:31,920 Speaker 1: suggests that learning suffered during the spring period. So if 73 00:04:31,960 --> 00:04:35,679 Speaker 1: we accept the Zerne findings as indicative of what's actually happening, 74 00:04:35,960 --> 00:04:39,840 Speaker 1: the downside to online learning comes into sharper focus. Not 75 00:04:39,960 --> 00:04:43,400 Speaker 1: only is coursework getting stunted, but the class and race 76 00:04:43,440 --> 00:04:47,400 Speaker 1: inequities and schools are wide needed. The question are those 77 00:04:47,440 --> 00:04:51,839 Speaker 1: downsides worth the public health benefits? Emily says, based on 78 00:04:52,000 --> 00:04:55,400 Speaker 1: research she's done this summer looking at camps and childcare programs, 79 00:04:55,760 --> 00:04:59,400 Speaker 1: this may be a false choice. We actually really kind 80 00:04:59,400 --> 00:05:02,800 Speaker 1: of need to know what happens when we bring people together. Um, 81 00:05:02,839 --> 00:05:05,239 Speaker 1: and so I I, at some point early on in 82 00:05:05,400 --> 00:05:07,200 Speaker 1: the pandemic said, you know, I think we can probably 83 00:05:07,279 --> 00:05:09,560 Speaker 1: learn something from summer camps because the age range is 84 00:05:09,600 --> 00:05:11,520 Speaker 1: sort of similar. There are other things that are not similar, 85 00:05:11,880 --> 00:05:14,240 Speaker 1: but there's you know, something potentially we can learn. So 86 00:05:14,279 --> 00:05:16,640 Speaker 1: I've been collecting some data, which is I just want 87 00:05:16,640 --> 00:05:19,360 Speaker 1: to be clear, not random, And in the camps and 88 00:05:19,520 --> 00:05:21,640 Speaker 1: childcare settings that I have data on, and we actually 89 00:05:21,680 --> 00:05:24,440 Speaker 1: have very very low infection rates, we can sort of 90 00:05:24,440 --> 00:05:26,560 Speaker 1: talk and we should talk about kind of counter examples, 91 00:05:26,560 --> 00:05:28,680 Speaker 1: but I think there are certainly examples of places that 92 00:05:28,720 --> 00:05:31,960 Speaker 1: have kind of been open with kids that have been saved. Okay, 93 00:05:32,000 --> 00:05:37,000 Speaker 1: so the summer camp data suggests that maybe outbreaks aren't 94 00:05:37,040 --> 00:05:43,000 Speaker 1: as threatening as some people think. But we've seen schools 95 00:05:43,040 --> 00:05:45,920 Speaker 1: open over the summer and there are cases of people 96 00:05:46,360 --> 00:05:50,919 Speaker 1: getting infected and then the schools shutting down. Doesn't that 97 00:05:51,080 --> 00:05:54,120 Speaker 1: sort of buttress this argument that maybe we're safer just 98 00:05:54,240 --> 00:05:59,440 Speaker 1: going online and not even sort of opening Pandora's box. Yeah. So, 99 00:05:59,480 --> 00:06:02,000 Speaker 1: I mean, I think one thing that's very frustrating about 100 00:06:02,040 --> 00:06:05,120 Speaker 1: this is that we don't have a systematic data on 101 00:06:05,160 --> 00:06:07,520 Speaker 1: the school so it is definitely true that as places 102 00:06:07,520 --> 00:06:11,600 Speaker 1: have opened, there have been cases, multiple cases in schools, 103 00:06:11,600 --> 00:06:14,680 Speaker 1: places where it looks like there is some spread pretty 104 00:06:14,680 --> 00:06:17,200 Speaker 1: clearly going on in the school. One of the things 105 00:06:17,200 --> 00:06:19,560 Speaker 1: we've learned, for example, from Georgia is if you bring 106 00:06:19,600 --> 00:06:23,480 Speaker 1: back a high school full on basically no precautions, you 107 00:06:23,520 --> 00:06:26,719 Speaker 1: don't require people to mask, there's no distancing, you have football, 108 00:06:27,320 --> 00:06:30,080 Speaker 1: and the positivity rate is you know, fifteen percent in 109 00:06:30,120 --> 00:06:32,400 Speaker 1: the area, then it seems like that's a way to 110 00:06:32,440 --> 00:06:36,359 Speaker 1: get some COVID spread. That's not actually the same as 111 00:06:36,360 --> 00:06:40,159 Speaker 1: opening a socially distanced, fully masked kindergarten or first grade 112 00:06:40,200 --> 00:06:43,160 Speaker 1: in New York City or in New Hampshire. And it's 113 00:06:43,200 --> 00:06:45,560 Speaker 1: not the same because of the differences in prevalence rate. 114 00:06:45,600 --> 00:06:47,520 Speaker 1: It's not the same because of the differences in precautions, 115 00:06:47,560 --> 00:06:57,919 Speaker 1: it's not the same because of the differences in age groups. Emily, 116 00:06:57,960 --> 00:07:02,040 Speaker 1: based on the conversations you're having with WOOL officials, are 117 00:07:02,080 --> 00:07:07,120 Speaker 1: you getting the sense that people are making decisions based 118 00:07:07,200 --> 00:07:12,160 Speaker 1: on the outbreak level in their communities, or do you 119 00:07:12,240 --> 00:07:15,720 Speaker 1: find that most school districts are just responding with this 120 00:07:15,800 --> 00:07:18,000 Speaker 1: sort of worst case scenario fear and saying, you know what, 121 00:07:18,120 --> 00:07:20,880 Speaker 1: let's just go dow online learning. The people that I 122 00:07:20,880 --> 00:07:23,880 Speaker 1: have talked to in school districts are incredibly thoughtful about this, 123 00:07:24,440 --> 00:07:27,440 Speaker 1: and they are trying to do everything they can to 124 00:07:27,520 --> 00:07:32,800 Speaker 1: simultaneously serve their students and also do it safely, and 125 00:07:32,880 --> 00:07:35,920 Speaker 1: they are really really confused about what to do, and 126 00:07:35,920 --> 00:07:38,880 Speaker 1: the guidance that they get is really variable. So you know, 127 00:07:39,000 --> 00:07:42,040 Speaker 1: people in Iowa have been told basically, you need to 128 00:07:42,080 --> 00:07:46,680 Speaker 1: be fully in person unless the positivity rate is above 129 00:07:47,360 --> 00:07:49,200 Speaker 1: and then there are people who are being told, you know, 130 00:07:49,280 --> 00:07:52,160 Speaker 1: you absolutely cannot be in person and all of the 131 00:07:52,200 --> 00:08:00,040 Speaker 1: positivity rate is above two. So I think that it 132 00:08:00,120 --> 00:08:02,640 Speaker 1: is just a tremendous amount of frustration and kind of 133 00:08:02,640 --> 00:08:06,240 Speaker 1: feeling of being like a little abandoned honestly in making 134 00:08:06,280 --> 00:08:12,200 Speaker 1: these decisions. Of course, opening up physically or remotely is 135 00:08:12,240 --> 00:08:15,440 Speaker 1: all new. There's little specific guidance at the federal level, 136 00:08:15,760 --> 00:08:20,280 Speaker 1: meaning there's no clear path forward, leaving schools, teachers, parents 137 00:08:20,280 --> 00:08:24,000 Speaker 1: and students groping in the dark. But Emily hopes to 138 00:08:24,120 --> 00:08:27,600 Speaker 1: change that. In August, Emily announced she was partnering with 139 00:08:27,640 --> 00:08:31,320 Speaker 1: schools superintendents and data wongs to begin gathering evidence on 140 00:08:31,400 --> 00:08:35,719 Speaker 1: schools that do reopen to help the Chicago's, Philadelphia's, Houston's, 141 00:08:35,840 --> 00:08:39,120 Speaker 1: and everyone else who's opening online. There are a lot 142 00:08:39,160 --> 00:08:41,160 Speaker 1: of places that are opening online that are hoping to 143 00:08:41,240 --> 00:08:44,920 Speaker 1: open in person later. They're waiting to see what happens 144 00:08:44,920 --> 00:08:46,640 Speaker 1: with the places that are open in person, so they 145 00:08:46,640 --> 00:08:48,840 Speaker 1: can try to figure out is it safe to open 146 00:08:48,840 --> 00:08:50,240 Speaker 1: in person? And win is going to be safe to 147 00:08:50,240 --> 00:08:52,720 Speaker 1: open in person. But they can't figure that out because 148 00:08:52,840 --> 00:08:54,920 Speaker 1: they don't know what's happening with the places that are open. 149 00:08:54,960 --> 00:08:56,680 Speaker 1: And that's kind of the meta point of we've sort 150 00:08:56,679 --> 00:08:59,760 Speaker 1: of fallen down on learning the kind of information that 151 00:08:59,800 --> 00:09:03,640 Speaker 1: we would need to make good choices here. Both my 152 00:09:03,760 --> 00:09:08,160 Speaker 1: folks were teachers, and my mom, who's still with us, 153 00:09:08,160 --> 00:09:10,840 Speaker 1: would not be psychedific. I didn't ask a question about 154 00:09:10,840 --> 00:09:14,160 Speaker 1: the safety of teachers. What do we know about the 155 00:09:14,320 --> 00:09:19,880 Speaker 1: risk that teachers and other adults in the building are 156 00:09:19,960 --> 00:09:25,120 Speaker 1: taking with in person learning. We don't have a lot 157 00:09:25,160 --> 00:09:27,320 Speaker 1: of data. But what I will say is probably the 158 00:09:27,320 --> 00:09:29,760 Speaker 1: best day I've seen is from Sweden. I think there's 159 00:09:29,800 --> 00:09:32,040 Speaker 1: a bit from Denmark too, So in Sweden they kept 160 00:09:32,080 --> 00:09:34,839 Speaker 1: schools open the whole time, and so you can look 161 00:09:34,920 --> 00:09:37,680 Speaker 1: at given that that happened. Our teachers a high risk group. 162 00:09:38,080 --> 00:09:40,800 Speaker 1: So there are some groups where they make up a 163 00:09:40,880 --> 00:09:44,880 Speaker 1: pretty large share of the hospitalizations relative to their size 164 00:09:44,920 --> 00:09:47,920 Speaker 1: in the labor market. So for example, bus driver and 165 00:09:47,960 --> 00:09:51,280 Speaker 1: food service worker in Sweden were very high risk professions, 166 00:09:51,320 --> 00:09:54,480 Speaker 1: but teacher was not. That data kind of suggests that, 167 00:09:54,520 --> 00:09:57,800 Speaker 1: you know, teaching is not an especially high risk profession. 168 00:09:57,920 --> 00:10:00,000 Speaker 1: But you know, I think that we have a huge 169 00:10:00,040 --> 00:10:03,040 Speaker 1: uphill battle in trying to work with teachers and with 170 00:10:03,200 --> 00:10:06,280 Speaker 1: unions to try to both convince them but also you know, 171 00:10:06,360 --> 00:10:08,600 Speaker 1: make them make people feel safe. I don't think we 172 00:10:08,640 --> 00:10:11,959 Speaker 1: want people coming into schools feeling unsafe and anxious. We 173 00:10:12,000 --> 00:10:13,480 Speaker 1: need to figure out how are we going to make 174 00:10:13,559 --> 00:10:15,520 Speaker 1: clear the ways that they are going to be protected. 175 00:10:16,559 --> 00:10:20,440 Speaker 1: How do you think we should be dealing with this situation, Emily, 176 00:10:21,160 --> 00:10:24,679 Speaker 1: where there's just a lack of good evidence, there's a 177 00:10:24,760 --> 00:10:28,160 Speaker 1: lack of guidance, there's a lot on the line, and 178 00:10:28,200 --> 00:10:33,640 Speaker 1: there's a ton of emotion. What have you learned as 179 00:10:33,679 --> 00:10:35,960 Speaker 1: an academic, as a researcher, as a writer, as a 180 00:10:36,000 --> 00:10:39,560 Speaker 1: thinker about how to juggle things that are going on 181 00:10:39,679 --> 00:10:41,760 Speaker 1: right now. One of the things people are really struggling 182 00:10:41,800 --> 00:10:44,520 Speaker 1: with is once they make a decision, they rarely feel 183 00:10:44,520 --> 00:10:47,880 Speaker 1: good about it because no decisions are good, and that 184 00:10:48,000 --> 00:10:49,960 Speaker 1: I think has been a very valuable thing to name 185 00:10:50,040 --> 00:10:53,240 Speaker 1: for people. Then I think that knowing that may actually 186 00:10:53,480 --> 00:10:55,760 Speaker 1: make it easier for people to move forward because they 187 00:10:55,760 --> 00:11:00,040 Speaker 1: are not continually expecting that somehow the next moment, but 188 00:11:00,080 --> 00:11:03,400 Speaker 1: they'll feel great about the choice understanding that the trade 189 00:11:03,400 --> 00:11:06,559 Speaker 1: offs exactly that there are trade offs. Somebody should have 190 00:11:06,600 --> 00:11:09,760 Speaker 1: a podcast about that, I think. So that seems like 191 00:11:09,800 --> 00:11:16,440 Speaker 1: a really great name, really good name. Amazing. So to 192 00:11:16,520 --> 00:11:22,680 Speaker 1: wrap this up, Emily, I'm curious what you're expecting to 193 00:11:22,880 --> 00:11:28,839 Speaker 1: see over the first ten twelve weeks of the fall 194 00:11:29,480 --> 00:11:33,679 Speaker 1: when it comes to school. So I would say what 195 00:11:33,720 --> 00:11:36,800 Speaker 1: I suspect will happen is that some places will open 196 00:11:36,800 --> 00:11:40,600 Speaker 1: in some places will not. The places that open will 197 00:11:40,679 --> 00:11:45,000 Speaker 1: stay open pretty much regardless. I think the places that 198 00:11:45,080 --> 00:11:47,680 Speaker 1: do not open will not open for the whole semester. 199 00:11:47,800 --> 00:11:50,880 Speaker 1: So I think it will be very difficult for places 200 00:11:50,920 --> 00:11:53,920 Speaker 1: to transition from remote into in person. It sort of 201 00:11:53,920 --> 00:11:56,040 Speaker 1: feels like, in some ways the worst of both worlds, 202 00:11:56,080 --> 00:11:58,439 Speaker 1: that we have a bunch of places open that kind 203 00:11:58,440 --> 00:12:00,240 Speaker 1: of shouldn't be. From a public health stamp point and 204 00:12:00,320 --> 00:12:02,240 Speaker 1: a bunch of places that don't open that could from 205 00:12:02,240 --> 00:12:05,360 Speaker 1: a public health standpoint, So we're losing the learning but 206 00:12:05,480 --> 00:12:09,120 Speaker 1: not really protecting public health. Emily hopes by working with 207 00:12:09,160 --> 00:12:13,120 Speaker 1: superintendents and principles, data will finally start to make its 208 00:12:13,120 --> 00:12:15,920 Speaker 1: way to school leaders in the hopes of arming these 209 00:12:15,920 --> 00:12:20,400 Speaker 1: districts with reliable information to make incredibly difficult decisions about 210 00:12:20,440 --> 00:12:23,800 Speaker 1: whether to physically open up schools. Again, the project may 211 00:12:23,920 --> 00:12:27,360 Speaker 1: lack the heft that comes with federal guidance, but it 212 00:12:27,480 --> 00:12:31,480 Speaker 1: beats more than thirteen thousand school districts making decisions with 213 00:12:31,760 --> 00:12:36,439 Speaker 1: very little data. I'm Dan Gorstein and this is Trailers. 214 00:12:46,040 --> 00:12:48,960 Speaker 1: That was Dan gost on, a segment brought to us 215 00:12:49,000 --> 00:12:52,559 Speaker 1: by the podcast trade Offs. If you like this story, 216 00:12:52,679 --> 00:12:55,199 Speaker 1: you can hear more from the trade Offs podcast by 217 00:12:55,240 --> 00:12:58,840 Speaker 1: subscribing wherever you get your podcasts, or by going to 218 00:12:58,920 --> 00:13:03,840 Speaker 1: trade offs dot org. Trade Offs is produced by Sabrina Ms, 219 00:13:04,160 --> 00:13:09,720 Speaker 1: Ryan Levy, Vicki Stern, Andrew Parella, and Leslie Walker. Music 220 00:13:09,840 --> 00:13:15,400 Speaker 1: by Thy Siderman, unheard music concepts, Blue Dot sessions, and miscellaneous. 221 00:13:17,360 --> 00:13:19,920 Speaker 1: And that's it for our show today. For coverage of 222 00:13:19,920 --> 00:13:22,680 Speaker 1: the outbreak from one D and twenty bureaus around the world. 223 00:13:23,080 --> 00:13:27,520 Speaker 1: Visit Bloomberg dot com, slash Coronavirus and if you like 224 00:13:27,600 --> 00:13:30,079 Speaker 1: the show, please leave us a review and a rating 225 00:13:30,400 --> 00:13:34,040 Speaker 1: on Apple Podcasts or Spotify. It's the best way to 226 00:13:34,080 --> 00:13:38,840 Speaker 1: help more listeners find our global reporting. The Prognosis Daily 227 00:13:38,960 --> 00:13:43,800 Speaker 1: edition is produced by Tophor foreheads Jordan Gaspoure, Magnus Henrickson 228 00:13:43,960 --> 00:13:49,280 Speaker 1: and me Laura Carlson. Original music by Leo Sidrin. Our 229 00:13:49,480 --> 00:13:53,640 Speaker 1: editors are Rick Shine and Francesca Levi. Francesca Levi is 230 00:13:53,679 --> 00:13:56,880 Speaker 1: Bloomberg's head of podcasts. Thanks for listening.