1 00:00:06,600 --> 00:00:11,799 Speaker 1: Welcome to Prognosis. I'm Laura Carlson. It's day fifty one 2 00:00:11,960 --> 00:00:16,760 Speaker 1: since coronavirus was declared a global pandemic. Our main story. 3 00:00:17,800 --> 00:00:21,919 Speaker 1: Researchers and scientists are moving at unprecedented speed to add 4 00:00:21,960 --> 00:00:25,639 Speaker 1: to what we know about the pandemic. That speed is 5 00:00:25,640 --> 00:00:29,160 Speaker 1: warranted because understanding the virus is the only way to 6 00:00:29,240 --> 00:00:34,640 Speaker 1: eventually contain it. But it's also leading to confusion and 7 00:00:34,840 --> 00:00:41,280 Speaker 1: challenging the public's faith in science. But first, here's what 8 00:00:41,400 --> 00:00:53,960 Speaker 1: happened today. There are many unanswered questions about coronavirus. One 9 00:00:54,000 --> 00:00:57,319 Speaker 1: of them how long will all this last? Now has 10 00:00:57,320 --> 00:01:01,360 Speaker 1: a possible answer. A group of experts say the pandemic 11 00:01:01,520 --> 00:01:04,319 Speaker 1: is likely to be with us for as long as 12 00:01:04,440 --> 00:01:09,319 Speaker 1: two years. A report from the Center for Infectious Disease 13 00:01:09,400 --> 00:01:13,040 Speaker 1: Research and Policy at the University of Minnesota says the 14 00:01:13,080 --> 00:01:16,520 Speaker 1: fact that people without symptoms can spread the virus makes 15 00:01:16,560 --> 00:01:21,360 Speaker 1: it harder to control than the flu, and people maybe 16 00:01:21,440 --> 00:01:28,200 Speaker 1: at their most infectious before any symptoms appear. After locking 17 00:01:28,200 --> 00:01:31,600 Speaker 1: down billions of people around the world to minimize COVID 18 00:01:31,680 --> 00:01:37,200 Speaker 1: nineteen spread, governments are now cautiously allowing businesses and public 19 00:01:37,240 --> 00:01:42,280 Speaker 1: places to reopen. Yet the report predicts the coronavirus pandemic 20 00:01:42,760 --> 00:01:45,880 Speaker 1: is likely to continue in waves that could last be 21 00:01:46,000 --> 00:01:51,280 Speaker 1: on twenty twenty two. We'll need about two thirds of 22 00:01:51,320 --> 00:01:55,240 Speaker 1: the world's population to become immune before we can control 23 00:01:55,360 --> 00:02:01,360 Speaker 1: the virus, the authors said. And about that immunity, one 24 00:02:01,360 --> 00:02:03,840 Speaker 1: way to get it is through a vaccine, which is 25 00:02:03,840 --> 00:02:07,120 Speaker 1: still a long way off. Another is by having the 26 00:02:07,160 --> 00:02:12,320 Speaker 1: antibodies one develops after fighting off the disease. But some 27 00:02:12,400 --> 00:02:15,799 Speaker 1: have questioned whether everyone who has had the virus develops 28 00:02:15,800 --> 00:02:19,239 Speaker 1: these antibodies, which would make it more complicated to target 29 00:02:19,280 --> 00:02:25,000 Speaker 1: certain people for immunity Today, Anthony Faucci, the scientist who's 30 00:02:25,120 --> 00:02:28,120 Speaker 1: leading the u S response to the pandemic, said that 31 00:02:28,320 --> 00:02:31,800 Speaker 1: most people who have had the coronavirus probably would have 32 00:02:31,960 --> 00:02:36,560 Speaker 1: the antibodies. Fauci, who was the director of the National 33 00:02:36,639 --> 00:02:40,320 Speaker 1: Institute of Allergy and Infectious Diseases, said it would be 34 00:02:40,400 --> 00:02:45,640 Speaker 1: extremely unusual if patients did not develop antibodies. He said 35 00:02:45,800 --> 00:02:51,920 Speaker 1: it would be almost unprecedented. Different states in the US 36 00:02:52,160 --> 00:02:55,840 Speaker 1: vary in the cautiousness of their approach to restarting businesses. 37 00:02:56,880 --> 00:03:00,280 Speaker 1: Florida Governor Ronda Santis said the state would re open 38 00:03:00,320 --> 00:03:05,200 Speaker 1: state parks on May fourth. Meanwhile, New York Governor Andrew 39 00:03:05,240 --> 00:03:09,360 Speaker 1: Cuomo made it official that schools would remain closed for 40 00:03:09,400 --> 00:03:13,239 Speaker 1: the duration of the school here, and New York City 41 00:03:13,280 --> 00:03:16,280 Speaker 1: Mayor Built A. Blasio said the city was making some 42 00:03:16,400 --> 00:03:24,000 Speaker 1: progress toward fighting the outbreak, but not enough to justify reopening. Finally, 43 00:03:24,480 --> 00:03:27,120 Speaker 1: the virus continues to take its toll around the globe. 44 00:03:28,200 --> 00:03:30,919 Speaker 1: Russia had a surge in new cases a day after 45 00:03:31,080 --> 00:03:34,960 Speaker 1: Prime Minister Mikhail ms Houston said he had tested positive. 46 00:03:36,000 --> 00:03:39,960 Speaker 1: Hubei province, the epicenter of China's outbreak, will lower its 47 00:03:39,960 --> 00:03:44,480 Speaker 1: emergency response, while Japanese Prime Minister Shinzo Abe said he 48 00:03:44,520 --> 00:03:54,920 Speaker 1: would probably extend the emergency by about a month. And 49 00:03:54,960 --> 00:04:02,920 Speaker 1: now our main story. On April, a New York hospital 50 00:04:02,960 --> 00:04:07,760 Speaker 1: system reported a stunning eighty eight percent death rate among 51 00:04:07,760 --> 00:04:12,960 Speaker 1: its COVID nineteen patients unventilators. Two days later, they put 52 00:04:12,960 --> 00:04:17,359 Speaker 1: out an update. Actually, only twenty four point five percent 53 00:04:17,440 --> 00:04:20,920 Speaker 1: of patients on ventilators had died. How did this happen? 54 00:04:21,560 --> 00:04:26,960 Speaker 1: Which number was right? The answer is complicated and has 55 00:04:27,000 --> 00:04:30,880 Speaker 1: to do with different ways of slicing the data, But 56 00:04:30,960 --> 00:04:34,120 Speaker 1: it is just one example of how quickly guidance about 57 00:04:34,120 --> 00:04:39,719 Speaker 1: coronavirus can change. Scientists are facing unparalleled pressure to provide 58 00:04:39,800 --> 00:04:44,599 Speaker 1: information about the virus as quickly as possible, and when 59 00:04:44,640 --> 00:04:48,000 Speaker 1: every day it brings forth new data. What was clear 60 00:04:48,080 --> 00:04:53,279 Speaker 1: one day maybe confusing the next. Conflicting reports on the 61 00:04:53,279 --> 00:04:56,719 Speaker 1: benefits of wearing masks, how the virus spreads, and even 62 00:04:56,760 --> 00:05:00,560 Speaker 1: the efficacy of promising new drugs like rumdesvie are all 63 00:05:00,680 --> 00:05:05,200 Speaker 1: products of the global race to provide answers about the coronavirus. 64 00:05:06,560 --> 00:05:11,080 Speaker 1: Problem is, science usually doesn't move this fast. So what 65 00:05:11,240 --> 00:05:15,320 Speaker 1: happens when the slow and steady process of research, peer review, 66 00:05:15,640 --> 00:05:20,640 Speaker 1: and the traditional publication process hits warp speed. I spoke 67 00:05:20,640 --> 00:05:24,280 Speaker 1: with Bloomberg's Michelle fay Cortes and Robert Langreth to learn 68 00:05:24,360 --> 00:05:27,480 Speaker 1: more about why it's so hard to part the science 69 00:05:28,080 --> 00:05:30,920 Speaker 1: and about the danger that the public will lose faith 70 00:05:30,920 --> 00:05:38,839 Speaker 1: in scientific research and reporting. What makes interpreting data so 71 00:05:39,040 --> 00:05:43,040 Speaker 1: difficult when it comes to, for example, case and mortality rates, 72 00:05:43,080 --> 00:05:46,359 Speaker 1: but in general, for numbers we see related to coronavirus. 73 00:05:46,880 --> 00:05:49,680 Speaker 1: Number one, we don't know how many people have coronavirus 74 00:05:49,680 --> 00:05:52,280 Speaker 1: in general. That's a testing issue. And the other one 75 00:05:52,320 --> 00:05:54,960 Speaker 1: on the mortality rates is a lot of the information 76 00:05:55,000 --> 00:05:57,960 Speaker 1: we have is very preliminary. A lot of people haven't 77 00:05:58,000 --> 00:06:01,239 Speaker 1: died from coronavirus who might sadly die in the next 78 00:06:01,400 --> 00:06:04,279 Speaker 1: few days or weeks. So when you're trying to figure 79 00:06:04,279 --> 00:06:07,440 Speaker 1: out what the real numbers are, if you're trying to 80 00:06:07,480 --> 00:06:11,159 Speaker 1: do that very quickly, you have to make this decision 81 00:06:11,279 --> 00:06:13,360 Speaker 1: about are you going to get out what you know 82 00:06:13,520 --> 00:06:15,680 Speaker 1: now or are you going to wait until you can 83 00:06:15,720 --> 00:06:17,680 Speaker 1: be a little bit more definitive and a little bit 84 00:06:17,720 --> 00:06:21,599 Speaker 1: more comprehensive. Scientists are looking to answer a very narrow 85 00:06:21,720 --> 00:06:26,160 Speaker 1: and specific question generally, and they also normally have some 86 00:06:26,240 --> 00:06:28,840 Speaker 1: kind of a base of information that they're working off of. 87 00:06:29,160 --> 00:06:32,560 Speaker 1: When it comes to coronavirus, we don't know pretty much 88 00:06:32,600 --> 00:06:35,360 Speaker 1: anything about any of it. So every time someone has 89 00:06:35,400 --> 00:06:39,320 Speaker 1: a data set, everything in there is interesting. What's different 90 00:06:39,360 --> 00:06:43,560 Speaker 1: about how research is being done now versus before the pandemic. 91 00:06:43,839 --> 00:06:46,360 Speaker 1: The way of doing it normally is there's a back 92 00:06:46,400 --> 00:06:49,359 Speaker 1: and forth process between the researchers who have done the 93 00:06:49,400 --> 00:06:52,719 Speaker 1: work and determined what their answers are to the questions 94 00:06:52,720 --> 00:06:55,279 Speaker 1: that they're asking, and then they go back and forth 95 00:06:55,320 --> 00:06:58,880 Speaker 1: with the medical journal and with peer reviewers to make 96 00:06:58,920 --> 00:07:02,039 Speaker 1: sure that they've honed in exactly the right issue, that 97 00:07:02,120 --> 00:07:07,040 Speaker 1: they've done the scientific analysis and the statistics correctly, and 98 00:07:07,080 --> 00:07:09,480 Speaker 1: that the way they're characterizing it and writing about it 99 00:07:09,560 --> 00:07:14,480 Speaker 1: is accurate in the current situation. A lot of times 100 00:07:14,720 --> 00:07:16,920 Speaker 1: there is no back and forth, which means that there 101 00:07:16,960 --> 00:07:20,840 Speaker 1: hasn't been any review really of the substance of their articles. 102 00:07:20,960 --> 00:07:24,440 Speaker 1: So it is a very very fast process. In some cases, 103 00:07:24,480 --> 00:07:28,680 Speaker 1: they're not even being presented in any print anywhere. We're 104 00:07:28,720 --> 00:07:32,240 Speaker 1: just seeing a press conference, or maybe we've got some slides, 105 00:07:32,560 --> 00:07:35,040 Speaker 1: or perhaps we have the head of n I a 106 00:07:35,160 --> 00:07:38,080 Speaker 1: I d. Dr Anthony Fauci, sitting next to President Trump 107 00:07:38,080 --> 00:07:40,960 Speaker 1: in the Oval Office telling us something that none of 108 00:07:41,040 --> 00:07:43,720 Speaker 1: us have known before, and that we're just getting it 109 00:07:43,800 --> 00:07:47,680 Speaker 1: for the first time with no no notes to understand it. 110 00:07:47,880 --> 00:07:50,800 Speaker 1: We're seeing we're seeing science by press release. We're seeing 111 00:07:50,840 --> 00:07:55,080 Speaker 1: science announced in fragmentary form by politicians so they can 112 00:07:55,080 --> 00:07:57,240 Speaker 1: get credit for what's going on. We're even seeing, you know, 113 00:07:57,440 --> 00:08:01,600 Speaker 1: science being put out and publicized on social media by 114 00:08:01,600 --> 00:08:05,880 Speaker 1: prominent people that then gets wide distribution everywhere. And even 115 00:08:05,920 --> 00:08:09,320 Speaker 1: when the science is published, you know, in a medical journal, 116 00:08:09,360 --> 00:08:11,760 Speaker 1: aren't you're viewed. It's coming out very very fast, and 117 00:08:11,800 --> 00:08:14,200 Speaker 1: you know my senses. In the In the rush to 118 00:08:14,280 --> 00:08:17,200 Speaker 1: you know, get out as much information as possible, scientific 119 00:08:17,280 --> 00:08:19,320 Speaker 1: journals are basically sent to letting it you know, much 120 00:08:19,360 --> 00:08:22,920 Speaker 1: more preliminary information than they're published in the past, and 121 00:08:22,960 --> 00:08:25,600 Speaker 1: the public isn't always you know, full of way away 122 00:08:25,680 --> 00:08:28,200 Speaker 1: of just how preliminary some of these studies are and 123 00:08:28,280 --> 00:08:31,240 Speaker 1: some of this data is. What are some examples of 124 00:08:31,360 --> 00:08:35,600 Speaker 1: how these rushed conclusions have really affected the public's understanding 125 00:08:35,640 --> 00:08:39,560 Speaker 1: of coronavirus in general. There's been just a lack of 126 00:08:39,679 --> 00:08:44,160 Speaker 1: understanding about how the coronavirus is playing out in our country. 127 00:08:44,559 --> 00:08:46,960 Speaker 1: We have a lot of people who didn't know about 128 00:08:47,160 --> 00:08:49,680 Speaker 1: whether or not they should wear a mask. Those rules 129 00:08:49,800 --> 00:08:52,400 Speaker 1: changed over the course of this virus. When it comes 130 00:08:52,400 --> 00:08:53,960 Speaker 1: to something like whether or not we're going to have 131 00:08:54,040 --> 00:08:58,040 Speaker 1: a treatment for coronavirus and whether or not, for example, 132 00:08:58,080 --> 00:09:01,560 Speaker 1: Gilead Sciences drug ram does it. Here, we're getting some early, 133 00:09:01,679 --> 00:09:04,720 Speaker 1: good preliminary information about that, but we don't know whether 134 00:09:04,760 --> 00:09:07,680 Speaker 1: it's going to hold up once it's been reviewed embedded 135 00:09:07,720 --> 00:09:10,760 Speaker 1: more thoroughly. And the other example that I put out there, 136 00:09:10,920 --> 00:09:13,240 Speaker 1: which there's a lot of debate about right now, has 137 00:09:13,280 --> 00:09:16,320 Speaker 1: a lot of the very preliminary studies on these antibody tests, 138 00:09:16,320 --> 00:09:20,320 Speaker 1: saying you know significant percentage of the population you know 139 00:09:20,320 --> 00:09:25,240 Speaker 1: who haven't officially tested positive for coronavirus and have antibodies 140 00:09:25,280 --> 00:09:27,319 Speaker 1: to it, so that that means they may be exposed 141 00:09:27,360 --> 00:09:29,040 Speaker 1: and may be immune for a period of time. And 142 00:09:29,160 --> 00:09:32,040 Speaker 1: what's not getting out there to the public is that 143 00:09:32,200 --> 00:09:34,360 Speaker 1: you know, a lot of these antibody tests, the results 144 00:09:34,360 --> 00:09:37,040 Speaker 1: are somewhat controversial, a lot of the tests are put 145 00:09:37,040 --> 00:09:40,000 Speaker 1: on the market without much review, and they may actually 146 00:09:40,040 --> 00:09:43,199 Speaker 1: produce a significant number of false positives. Yes, and then 147 00:09:43,200 --> 00:09:45,520 Speaker 1: the issue with that, of course, is that people are 148 00:09:45,559 --> 00:09:49,439 Speaker 1: making decisions based on whether or not they have antibodies 149 00:09:49,440 --> 00:09:52,160 Speaker 1: in their blood. So if that test is not accurate 150 00:09:52,200 --> 00:09:54,320 Speaker 1: and you think that you're safe and you're out there 151 00:09:55,000 --> 00:09:58,560 Speaker 1: mingling in the public without taking precautions that you otherwise 152 00:09:58,600 --> 00:10:00,800 Speaker 1: would to protect other people, you could be doing all 153 00:10:00,880 --> 00:10:04,679 Speaker 1: kinds of damage. Not only that, governments are making decisions 154 00:10:04,679 --> 00:10:07,240 Speaker 1: about how much they can open and what they can 155 00:10:07,280 --> 00:10:10,920 Speaker 1: allow their population to do. And again, if they're making 156 00:10:10,920 --> 00:10:16,040 Speaker 1: those decisions based on inaccurate test results, disastrous consequences can result. 157 00:10:16,280 --> 00:10:21,000 Speaker 1: With the recent announcement of the potential of ramdsevere. Are 158 00:10:21,040 --> 00:10:24,520 Speaker 1: people rushing in the same way to grab onto this 159 00:10:24,640 --> 00:10:31,679 Speaker 1: potential perhaps sooner than necessarily scientific research would suggest is possible. Well, 160 00:10:31,679 --> 00:10:34,360 Speaker 1: it's pretty amazing the level of attention being paid to this, 161 00:10:34,480 --> 00:10:38,360 Speaker 1: as you know, potentially the first approved coronavirus treatment. And 162 00:10:38,440 --> 00:10:40,600 Speaker 1: like even my a some year old mom was like 163 00:10:40,679 --> 00:10:43,160 Speaker 1: literally calling me and asking me about it yesterday. Should 164 00:10:43,360 --> 00:10:45,560 Speaker 1: should I get this from my medicine cabinet, So like 165 00:10:45,679 --> 00:10:48,840 Speaker 1: just everyone is paying attention to it, and the warrior 166 00:10:48,880 --> 00:10:51,040 Speaker 1: is a danger is that people don't realize, you know, 167 00:10:51,120 --> 00:10:54,680 Speaker 1: just how preliminary these results are the main results of 168 00:10:54,720 --> 00:10:58,280 Speaker 1: the government's monster trial. They're basically announced at a prece 169 00:10:58,320 --> 00:11:01,400 Speaker 1: event with the President Trump and Faucian. That an oppression. Ly, 170 00:11:01,520 --> 00:11:04,280 Speaker 1: so we don't have the scientific publication of any of 171 00:11:04,280 --> 00:11:06,640 Speaker 1: the details of this trial, and you know exactly how 172 00:11:06,679 --> 00:11:09,200 Speaker 1: good are the results? You know, these or details are 173 00:11:09,240 --> 00:11:11,040 Speaker 1: really important to now you know whether it should be 174 00:11:11,040 --> 00:11:14,480 Speaker 1: approved and how it should be used. And that's exactly 175 00:11:14,520 --> 00:11:17,640 Speaker 1: the situation that the FDA is planning to take pretty 176 00:11:17,679 --> 00:11:20,320 Speaker 1: quick action when it comes to ram desevere, and we 177 00:11:20,400 --> 00:11:23,640 Speaker 1: don't have an awful lot of information about how the 178 00:11:23,720 --> 00:11:26,240 Speaker 1: drug works. I mean, let's take a beat here and 179 00:11:26,280 --> 00:11:30,040 Speaker 1: realize we've only even known this virus existed for about 180 00:11:30,080 --> 00:11:33,840 Speaker 1: four months. So to go from not even having it 181 00:11:33,920 --> 00:11:38,960 Speaker 1: in existence to having a treatment specifically for it is astonishing. 182 00:11:39,520 --> 00:11:41,720 Speaker 1: And the only way to do that is by going 183 00:11:41,960 --> 00:11:45,000 Speaker 1: at an accelerated pace, the likeness of which we have 184 00:11:45,080 --> 00:11:48,920 Speaker 1: never seen before. So by definition, we're going to have 185 00:11:48,960 --> 00:11:52,319 Speaker 1: to be making decisions based on incomplete data. In general, 186 00:11:52,360 --> 00:11:55,679 Speaker 1: the understanding of the drug isn't isn't widespread throughout the US. 187 00:11:56,000 --> 00:11:58,400 Speaker 1: I keep getting messages from people asking me, is this 188 00:11:58,480 --> 00:12:01,280 Speaker 1: really a cure? And in fact, it's not at all 189 00:12:01,320 --> 00:12:04,360 Speaker 1: a cure. Even the results that we're seeing now suggest 190 00:12:04,600 --> 00:12:06,959 Speaker 1: that it's going to be able to perhaps help people 191 00:12:07,000 --> 00:12:09,760 Speaker 1: get out of the hospital a few days earlier. So 192 00:12:10,080 --> 00:12:13,439 Speaker 1: it does give us perhaps a treatment, and perhaps our 193 00:12:13,480 --> 00:12:16,880 Speaker 1: first treatment for this virus, and that is incredibly important. 194 00:12:17,120 --> 00:12:19,959 Speaker 1: But the idea that it's any kind of a panacea 195 00:12:20,080 --> 00:12:23,280 Speaker 1: or a silver bullet or a prevention, that's just not 196 00:12:23,440 --> 00:12:27,480 Speaker 1: even on the table. Do you see a loss of 197 00:12:27,520 --> 00:12:32,160 Speaker 1: faith or perhaps increasing doubt about scientific research overall because 198 00:12:32,160 --> 00:12:36,040 Speaker 1: people essentially are getting whiplash? Yes, wear masks, No, don't 199 00:12:36,040 --> 00:12:38,920 Speaker 1: wear masks. Do you see an an issue there of 200 00:12:38,960 --> 00:12:42,840 Speaker 1: the public's essentially loss of faith in in the validity 201 00:12:42,880 --> 00:12:47,240 Speaker 1: of scientific research because of this, Well, there is this 202 00:12:47,240 --> 00:12:50,360 Speaker 1: this idea, a theory called truth decay, which is what 203 00:12:50,520 --> 00:12:55,040 Speaker 1: happens when the general public stops believing what they're hearing 204 00:12:55,080 --> 00:12:58,240 Speaker 1: from scientific authorities. And we had already been seeing some 205 00:12:58,320 --> 00:13:01,600 Speaker 1: of that before coronavirus came out, when it comes to 206 00:13:01,679 --> 00:13:04,280 Speaker 1: things like vaccines and climate change and that sort of 207 00:13:04,280 --> 00:13:07,559 Speaker 1: a thing. At this point, we really do see that 208 00:13:07,600 --> 00:13:11,600 Speaker 1: most Americans are holding scientists in very high regard, and 209 00:13:11,640 --> 00:13:14,640 Speaker 1: we can see from what's happening with flattening the curve 210 00:13:15,040 --> 00:13:17,800 Speaker 1: and that type of thing, that people are listening that 211 00:13:17,840 --> 00:13:20,600 Speaker 1: most Americans are staying in their homes. Most people in 212 00:13:20,640 --> 00:13:23,080 Speaker 1: the world are staying in their homes to try to 213 00:13:23,200 --> 00:13:28,040 Speaker 1: fight this virus, but they're getting very anxious about it, 214 00:13:28,080 --> 00:13:30,440 Speaker 1: and they're getting upset about it, and we're coming to 215 00:13:30,520 --> 00:13:34,559 Speaker 1: the end of people perhaps just listening to the scientists. 216 00:13:34,840 --> 00:13:38,160 Speaker 1: So that's why we're seeing some of these protests and 217 00:13:38,440 --> 00:13:42,080 Speaker 1: these efforts to open up more quickly and at some point, 218 00:13:42,240 --> 00:13:44,960 Speaker 1: if there's more and more questions about the validity of 219 00:13:44,960 --> 00:13:48,680 Speaker 1: the science and if the virus doesn't continue to operate 220 00:13:48,720 --> 00:13:51,240 Speaker 1: the way that we expected to, then we might start 221 00:13:51,280 --> 00:13:53,520 Speaker 1: seeing even more of that truth decay when it comes 222 00:13:53,520 --> 00:13:57,720 Speaker 1: to coronavirus. What could the public understand better about the 223 00:13:57,760 --> 00:14:02,240 Speaker 1: science to stop truth decay? And what can science writers 224 00:14:02,280 --> 00:14:06,240 Speaker 1: like you to do to help. That's such a great question, 225 00:14:06,640 --> 00:14:09,000 Speaker 1: and I don't know that there's any easy answers to it. 226 00:14:09,440 --> 00:14:12,760 Speaker 1: Of course, for consumers, they can make sure that they're 227 00:14:12,760 --> 00:14:16,280 Speaker 1: listening to really legitimate sources of information and that they're 228 00:14:16,280 --> 00:14:23,400 Speaker 1: hearing it directly from scientists and scientific journalists who understand 229 00:14:23,440 --> 00:14:26,360 Speaker 1: all the nuances. And I think there's a responsibility on 230 00:14:26,480 --> 00:14:28,880 Speaker 1: us to make sure that when we're writing these pieces, 231 00:14:28,880 --> 00:14:33,280 Speaker 1: that we're writing it for people who understand perhaps less 232 00:14:33,320 --> 00:14:37,400 Speaker 1: than we might originally expect, and make sure that we're 233 00:14:37,440 --> 00:14:40,800 Speaker 1: writing our stories so that people can understand both the 234 00:14:40,840 --> 00:14:44,120 Speaker 1: limitations of the science and the promise of the science, 235 00:14:44,360 --> 00:14:46,800 Speaker 1: so that people can have hope, but they won't have 236 00:14:46,880 --> 00:14:50,000 Speaker 1: false hope. And I think that the public needs to 237 00:14:50,080 --> 00:14:53,520 Speaker 1: understand that pretty much everything they're hearing, all the results 238 00:14:53,520 --> 00:14:56,880 Speaker 1: are hearing about the coronavirus now, all the scientific results 239 00:14:56,880 --> 00:15:01,280 Speaker 1: about affection rates, death rates, and about a testing rates uh, 240 00:15:01,720 --> 00:15:06,080 Speaker 1: all that information is very preliminary right now and subjectory vision. 241 00:15:06,120 --> 00:15:08,720 Speaker 1: It's only going to be a gradual process of converging 242 00:15:08,720 --> 00:15:11,080 Speaker 1: on the truth, and they just have to understand that process. 243 00:15:11,080 --> 00:15:12,360 Speaker 1: You know. It's going to be a bit messy and 244 00:15:12,400 --> 00:15:14,760 Speaker 1: messier than usual because it's playing out in real time, 245 00:15:15,120 --> 00:15:17,560 Speaker 1: it's playing out in public, and it is a giant, 246 00:15:17,920 --> 00:15:21,280 Speaker 1: hard to follow fire host information. But the scientists they 247 00:15:21,320 --> 00:15:23,360 Speaker 1: are doing their best. They are working around the clock, 248 00:15:23,400 --> 00:15:25,760 Speaker 1: really and many of them I talked to to try 249 00:15:25,800 --> 00:15:28,360 Speaker 1: to understand the coronavirus and how to test for it 250 00:15:28,440 --> 00:15:30,320 Speaker 1: and how to treat it and how to find a vaccine. 251 00:15:30,520 --> 00:15:32,760 Speaker 1: You know, but right now the process is quite messy, 252 00:15:32,800 --> 00:15:36,040 Speaker 1: you know. B B be leery of any one result 253 00:15:36,280 --> 00:15:38,120 Speaker 1: of that you hear, you know, on TV or in 254 00:15:38,160 --> 00:15:40,680 Speaker 1: the news, and don't don't assume it's the final word, 255 00:15:40,720 --> 00:15:45,920 Speaker 1: because it's probably not. That was Bloomberg's Michelle fake Cortez 256 00:15:46,080 --> 00:15:50,160 Speaker 1: and Robert Langrath, and that's our show today. For coverage 257 00:15:50,160 --> 00:15:53,040 Speaker 1: of the outbreak from one and twenty bureaus around the world, 258 00:15:53,520 --> 00:15:58,440 Speaker 1: visit bloomberg dot com Flash Coronavirus and if you like 259 00:15:58,520 --> 00:16:01,400 Speaker 1: the show, please leave as a review. And a rating 260 00:16:01,720 --> 00:16:05,280 Speaker 1: on Apple Podcasts or Spotify. It's the best way to 261 00:16:05,320 --> 00:16:10,520 Speaker 1: help more listeners find our global reporting. The Prognosis Daily 262 00:16:10,640 --> 00:16:14,080 Speaker 1: edition is hosted by Me Laura Carlson. The show was 263 00:16:14,080 --> 00:16:19,119 Speaker 1: produced by Me topher Foreheaz, Jordan gas Pure, and Magnus Hendrickson. 264 00:16:20,160 --> 00:16:23,760 Speaker 1: Today's main story was reported by Michelle fe Cortez and 265 00:16:23,880 --> 00:16:29,400 Speaker 1: Robert Langriff. Original music by Leo Sidran. Our editors are 266 00:16:29,440 --> 00:16:34,800 Speaker 1: Francesco Levi and Rick Shine. Francesco Levi is Bloomberg's head 267 00:16:34,800 --> 00:16:37,160 Speaker 1: of podcasts. Thanks for listening.