WEBVTT - The Dangers of Superfast Science

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<v Speaker 1>Welcome to Prognosis. I'm Laura Carlson. It's day fifty one

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<v Speaker 1>since coronavirus was declared a global pandemic. Our main story.

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<v Speaker 1>Researchers and scientists are moving at unprecedented speed to add

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<v Speaker 1>to what we know about the pandemic. That speed is

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<v Speaker 1>warranted because understanding the virus is the only way to

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<v Speaker 1>eventually contain it. But it's also leading to confusion and

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<v Speaker 1>challenging the public's faith in science. But first, here's what

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<v Speaker 1>happened today. There are many unanswered questions about coronavirus. One

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<v Speaker 1>of them how long will all this last? Now has

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<v Speaker 1>a possible answer. A group of experts say the pandemic

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<v Speaker 1>is likely to be with us for as long as

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<v Speaker 1>two years. A report from the Center for Infectious Disease

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<v Speaker 1>Research and Policy at the University of Minnesota says the

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<v Speaker 1>fact that people without symptoms can spread the virus makes

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<v Speaker 1>it harder to control than the flu, and people maybe

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<v Speaker 1>at their most infectious before any symptoms appear. After locking

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<v Speaker 1>down billions of people around the world to minimize COVID

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<v Speaker 1>nineteen spread, governments are now cautiously allowing businesses and public

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<v Speaker 1>places to reopen. Yet the report predicts the coronavirus pandemic

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<v Speaker 1>is likely to continue in waves that could last be

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<v Speaker 1>on twenty twenty two. We'll need about two thirds of

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<v Speaker 1>the world's population to become immune before we can control

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<v Speaker 1>the virus, the authors said. And about that immunity, one

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<v Speaker 1>way to get it is through a vaccine, which is

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<v Speaker 1>still a long way off. Another is by having the

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<v Speaker 1>antibodies one develops after fighting off the disease. But some

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<v Speaker 1>have questioned whether everyone who has had the virus develops

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<v Speaker 1>these antibodies, which would make it more complicated to target

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<v Speaker 1>certain people for immunity Today, Anthony Faucci, the scientist who's

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<v Speaker 1>leading the u S response to the pandemic, said that

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<v Speaker 1>most people who have had the coronavirus probably would have

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<v Speaker 1>the antibodies. Fauci, who was the director of the National

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<v Speaker 1>Institute of Allergy and Infectious Diseases, said it would be

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<v Speaker 1>extremely unusual if patients did not develop antibodies. He said

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<v Speaker 1>it would be almost unprecedented. Different states in the US

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<v Speaker 1>vary in the cautiousness of their approach to restarting businesses.

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<v Speaker 1>Florida Governor Ronda Santis said the state would re open

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<v Speaker 1>state parks on May fourth. Meanwhile, New York Governor Andrew

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<v Speaker 1>Cuomo made it official that schools would remain closed for

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<v Speaker 1>the duration of the school here, and New York City

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<v Speaker 1>Mayor Built A. Blasio said the city was making some

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<v Speaker 1>progress toward fighting the outbreak, but not enough to justify reopening. Finally,

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<v Speaker 1>the virus continues to take its toll around the globe.

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<v Speaker 1>Russia had a surge in new cases a day after

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<v Speaker 1>Prime Minister Mikhail ms Houston said he had tested positive.

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<v Speaker 1>Hubei province, the epicenter of China's outbreak, will lower its

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<v Speaker 1>emergency response, while Japanese Prime Minister Shinzo Abe said he

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<v Speaker 1>would probably extend the emergency by about a month. And

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<v Speaker 1>now our main story. On April, a New York hospital

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<v Speaker 1>system reported a stunning eighty eight percent death rate among

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<v Speaker 1>its COVID nineteen patients unventilators. Two days later, they put

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<v Speaker 1>out an update. Actually, only twenty four point five percent

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<v Speaker 1>of patients on ventilators had died. How did this happen?

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<v Speaker 1>Which number was right? The answer is complicated and has

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<v Speaker 1>to do with different ways of slicing the data, But

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<v Speaker 1>it is just one example of how quickly guidance about

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<v Speaker 1>coronavirus can change. Scientists are facing unparalleled pressure to provide

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<v Speaker 1>information about the virus as quickly as possible, and when

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<v Speaker 1>every day it brings forth new data. What was clear

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<v Speaker 1>one day maybe confusing the next. Conflicting reports on the

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<v Speaker 1>benefits of wearing masks, how the virus spreads, and even

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<v Speaker 1>the efficacy of promising new drugs like rumdesvie are all

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<v Speaker 1>products of the global race to provide answers about the coronavirus.

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<v Speaker 1>Problem is, science usually doesn't move this fast. So what

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<v Speaker 1>happens when the slow and steady process of research, peer review,

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<v Speaker 1>and the traditional publication process hits warp speed. I spoke

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<v Speaker 1>with Bloomberg's Michelle fay Cortes and Robert Langreth to learn

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<v Speaker 1>more about why it's so hard to part the science

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<v Speaker 1>and about the danger that the public will lose faith

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<v Speaker 1>in scientific research and reporting. What makes interpreting data so

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<v Speaker 1>difficult when it comes to, for example, case and mortality rates,

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<v Speaker 1>but in general, for numbers we see related to coronavirus.

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<v Speaker 1>Number one, we don't know how many people have coronavirus

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<v Speaker 1>in general. That's a testing issue. And the other one

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<v Speaker 1>on the mortality rates is a lot of the information

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<v Speaker 1>we have is very preliminary. A lot of people haven't

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<v Speaker 1>died from coronavirus who might sadly die in the next

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<v Speaker 1>few days or weeks. So when you're trying to figure

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<v Speaker 1>out what the real numbers are, if you're trying to

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<v Speaker 1>do that very quickly, you have to make this decision

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<v Speaker 1>about are you going to get out what you know

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<v Speaker 1>now or are you going to wait until you can

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<v Speaker 1>be a little bit more definitive and a little bit

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<v Speaker 1>more comprehensive. Scientists are looking to answer a very narrow

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<v Speaker 1>and specific question generally, and they also normally have some

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<v Speaker 1>kind of a base of information that they're working off of.

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<v Speaker 1>When it comes to coronavirus, we don't know pretty much

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<v Speaker 1>anything about any of it. So every time someone has

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<v Speaker 1>a data set, everything in there is interesting. What's different

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<v Speaker 1>about how research is being done now versus before the pandemic.

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<v Speaker 1>The way of doing it normally is there's a back

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<v Speaker 1>and forth process between the researchers who have done the

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<v Speaker 1>work and determined what their answers are to the questions

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<v Speaker 1>that they're asking, and then they go back and forth

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<v Speaker 1>with the medical journal and with peer reviewers to make

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<v Speaker 1>sure that they've honed in exactly the right issue, that

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<v Speaker 1>they've done the scientific analysis and the statistics correctly, and

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<v Speaker 1>that the way they're characterizing it and writing about it

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<v Speaker 1>is accurate in the current situation. A lot of times

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<v Speaker 1>there is no back and forth, which means that there

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<v Speaker 1>hasn't been any review really of the substance of their articles.

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<v Speaker 1>So it is a very very fast process. In some cases,

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<v Speaker 1>they're not even being presented in any print anywhere. We're

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<v Speaker 1>just seeing a press conference, or maybe we've got some slides,

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<v Speaker 1>or perhaps we have the head of n I a

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<v Speaker 1>I d. Dr Anthony Fauci, sitting next to President Trump

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<v Speaker 1>in the Oval Office telling us something that none of

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<v Speaker 1>us have known before, and that we're just getting it

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<v Speaker 1>for the first time with no no notes to understand it.

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<v Speaker 1>We're seeing we're seeing science by press release. We're seeing

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<v Speaker 1>science announced in fragmentary form by politicians so they can

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<v Speaker 1>get credit for what's going on. We're even seeing, you know,

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<v Speaker 1>science being put out and publicized on social media by

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<v Speaker 1>prominent people that then gets wide distribution everywhere. And even

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<v Speaker 1>when the science is published, you know, in a medical journal,

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<v Speaker 1>aren't you're viewed. It's coming out very very fast, and

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<v Speaker 1>you know my senses. In the In the rush to

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<v Speaker 1>you know, get out as much information as possible, scientific

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<v Speaker 1>journals are basically sent to letting it you know, much

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<v Speaker 1>more preliminary information than they're published in the past, and

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<v Speaker 1>the public isn't always you know, full of way away

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<v Speaker 1>of just how preliminary some of these studies are and

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<v Speaker 1>some of this data is. What are some examples of

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<v Speaker 1>how these rushed conclusions have really affected the public's understanding

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<v Speaker 1>of coronavirus in general. There's been just a lack of

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<v Speaker 1>understanding about how the coronavirus is playing out in our country.

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<v Speaker 1>We have a lot of people who didn't know about

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<v Speaker 1>whether or not they should wear a mask. Those rules

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<v Speaker 1>changed over the course of this virus. When it comes

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<v Speaker 1>to something like whether or not we're going to have

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<v Speaker 1>a treatment for coronavirus and whether or not, for example,

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<v Speaker 1>Gilead Sciences drug ram does it. Here, we're getting some early,

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<v Speaker 1>good preliminary information about that, but we don't know whether

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<v Speaker 1>it's going to hold up once it's been reviewed embedded

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<v Speaker 1>more thoroughly. And the other example that I put out there,

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<v Speaker 1>which there's a lot of debate about right now, has

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<v Speaker 1>a lot of the very preliminary studies on these antibody tests,

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<v Speaker 1>saying you know significant percentage of the population you know

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<v Speaker 1>who haven't officially tested positive for coronavirus and have antibodies

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<v Speaker 1>to it, so that that means they may be exposed

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<v Speaker 1>and may be immune for a period of time. And

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<v Speaker 1>what's not getting out there to the public is that

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<v Speaker 1>you know, a lot of these antibody tests, the results

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<v Speaker 1>are somewhat controversial, a lot of the tests are put

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<v Speaker 1>on the market without much review, and they may actually

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<v Speaker 1>produce a significant number of false positives. Yes, and then

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<v Speaker 1>the issue with that, of course, is that people are

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<v Speaker 1>making decisions based on whether or not they have antibodies

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<v Speaker 1>in their blood. So if that test is not accurate

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<v Speaker 1>and you think that you're safe and you're out there

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<v Speaker 1>mingling in the public without taking precautions that you otherwise

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<v Speaker 1>would to protect other people, you could be doing all

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<v Speaker 1>kinds of damage. Not only that, governments are making decisions

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<v Speaker 1>about how much they can open and what they can

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<v Speaker 1>allow their population to do. And again, if they're making

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<v Speaker 1>those decisions based on inaccurate test results, disastrous consequences can result.

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<v Speaker 1>With the recent announcement of the potential of ramdsevere. Are

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<v Speaker 1>people rushing in the same way to grab onto this

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<v Speaker 1>potential perhaps sooner than necessarily scientific research would suggest is possible. Well,

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<v Speaker 1>it's pretty amazing the level of attention being paid to this,

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<v Speaker 1>as you know, potentially the first approved coronavirus treatment. And

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<v Speaker 1>like even my a some year old mom was like

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<v Speaker 1>literally calling me and asking me about it yesterday. Should

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<v Speaker 1>should I get this from my medicine cabinet, So like

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<v Speaker 1>just everyone is paying attention to it, and the warrior

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<v Speaker 1>is a danger is that people don't realize, you know,

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<v Speaker 1>just how preliminary these results are the main results of

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<v Speaker 1>the government's monster trial. They're basically announced at a prece

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<v Speaker 1>event with the President Trump and Faucian. That an oppression. Ly,

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<v Speaker 1>so we don't have the scientific publication of any of

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<v Speaker 1>the details of this trial, and you know exactly how

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<v Speaker 1>good are the results? You know, these or details are

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<v Speaker 1>really important to now you know whether it should be

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<v Speaker 1>approved and how it should be used. And that's exactly

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<v Speaker 1>the situation that the FDA is planning to take pretty

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<v Speaker 1>quick action when it comes to ram desevere, and we

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<v Speaker 1>don't have an awful lot of information about how the

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<v Speaker 1>drug works. I mean, let's take a beat here and

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<v Speaker 1>realize we've only even known this virus existed for about

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<v Speaker 1>four months. So to go from not even having it

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<v Speaker 1>in existence to having a treatment specifically for it is astonishing.

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<v Speaker 1>And the only way to do that is by going

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<v Speaker 1>at an accelerated pace, the likeness of which we have

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<v Speaker 1>never seen before. So by definition, we're going to have

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<v Speaker 1>to be making decisions based on incomplete data. In general,

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<v Speaker 1>the understanding of the drug isn't isn't widespread throughout the US.

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<v Speaker 1>I keep getting messages from people asking me, is this

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<v Speaker 1>really a cure? And in fact, it's not at all

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<v Speaker 1>a cure. Even the results that we're seeing now suggest

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<v Speaker 1>that it's going to be able to perhaps help people

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<v Speaker 1>get out of the hospital a few days earlier. So

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<v Speaker 1>it does give us perhaps a treatment, and perhaps our

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<v Speaker 1>first treatment for this virus, and that is incredibly important.

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<v Speaker 1>But the idea that it's any kind of a panacea

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<v Speaker 1>or a silver bullet or a prevention, that's just not

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<v Speaker 1>even on the table. Do you see a loss of

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<v Speaker 1>faith or perhaps increasing doubt about scientific research overall because

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<v Speaker 1>people essentially are getting whiplash? Yes, wear masks, No, don't

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<v Speaker 1>wear masks. Do you see an an issue there of

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<v Speaker 1>the public's essentially loss of faith in in the validity

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<v Speaker 1>of scientific research because of this, Well, there is this

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<v Speaker 1>this idea, a theory called truth decay, which is what

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<v Speaker 1>happens when the general public stops believing what they're hearing

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<v Speaker 1>from scientific authorities. And we had already been seeing some

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<v Speaker 1>of that before coronavirus came out, when it comes to

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<v Speaker 1>things like vaccines and climate change and that sort of

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<v Speaker 1>a thing. At this point, we really do see that

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<v Speaker 1>most Americans are holding scientists in very high regard, and

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<v Speaker 1>we can see from what's happening with flattening the curve

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<v Speaker 1>and that type of thing, that people are listening that

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<v Speaker 1>most Americans are staying in their homes. Most people in

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<v Speaker 1>the world are staying in their homes to try to

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<v Speaker 1>fight this virus, but they're getting very anxious about it,

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<v Speaker 1>and they're getting upset about it, and we're coming to

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<v Speaker 1>the end of people perhaps just listening to the scientists.

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<v Speaker 1>So that's why we're seeing some of these protests and

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<v Speaker 1>these efforts to open up more quickly and at some point,

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<v Speaker 1>if there's more and more questions about the validity of

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<v Speaker 1>the science and if the virus doesn't continue to operate

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<v Speaker 1>the way that we expected to, then we might start

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<v Speaker 1>seeing even more of that truth decay when it comes

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<v Speaker 1>to coronavirus. What could the public understand better about the

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<v Speaker 1>science to stop truth decay? And what can science writers

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<v Speaker 1>like you to do to help. That's such a great question,

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<v Speaker 1>and I don't know that there's any easy answers to it.

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<v Speaker 1>Of course, for consumers, they can make sure that they're

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<v Speaker 1>listening to really legitimate sources of information and that they're

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<v Speaker 1>hearing it directly from scientists and scientific journalists who understand

0:14:23.440 --> 0:14:26.360
<v Speaker 1>all the nuances. And I think there's a responsibility on

0:14:26.480 --> 0:14:28.880
<v Speaker 1>us to make sure that when we're writing these pieces,

0:14:28.880 --> 0:14:33.280
<v Speaker 1>that we're writing it for people who understand perhaps less

0:14:33.320 --> 0:14:37.400
<v Speaker 1>than we might originally expect, and make sure that we're

0:14:37.440 --> 0:14:40.800
<v Speaker 1>writing our stories so that people can understand both the

0:14:40.840 --> 0:14:44.120
<v Speaker 1>limitations of the science and the promise of the science,

0:14:44.360 --> 0:14:46.800
<v Speaker 1>so that people can have hope, but they won't have

0:14:46.880 --> 0:14:50.000
<v Speaker 1>false hope. And I think that the public needs to

0:14:50.080 --> 0:14:53.520
<v Speaker 1>understand that pretty much everything they're hearing, all the results

0:14:53.520 --> 0:14:56.880
<v Speaker 1>are hearing about the coronavirus now, all the scientific results

0:14:56.880 --> 0:15:01.280
<v Speaker 1>about affection rates, death rates, and about a testing rates uh,

0:15:01.720 --> 0:15:06.080
<v Speaker 1>all that information is very preliminary right now and subjectory vision.

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<v Speaker 1>It's only going to be a gradual process of converging

0:15:08.720 --> 0:15:11.080
<v Speaker 1>on the truth, and they just have to understand that process.

0:15:11.080 --> 0:15:12.360
<v Speaker 1>You know. It's going to be a bit messy and

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<v Speaker 1>messier than usual because it's playing out in real time,

0:15:15.120 --> 0:15:17.560
<v Speaker 1>it's playing out in public, and it is a giant,

0:15:17.920 --> 0:15:21.280
<v Speaker 1>hard to follow fire host information. But the scientists they

0:15:21.320 --> 0:15:23.360
<v Speaker 1>are doing their best. They are working around the clock,

0:15:23.400 --> 0:15:25.760
<v Speaker 1>really and many of them I talked to to try

0:15:25.800 --> 0:15:28.360
<v Speaker 1>to understand the coronavirus and how to test for it

0:15:28.440 --> 0:15:30.320
<v Speaker 1>and how to treat it and how to find a vaccine.

0:15:30.520 --> 0:15:32.760
<v Speaker 1>You know, but right now the process is quite messy,

0:15:32.800 --> 0:15:36.040
<v Speaker 1>you know. B B be leery of any one result

0:15:36.280 --> 0:15:38.120
<v Speaker 1>of that you hear, you know, on TV or in

0:15:38.160 --> 0:15:40.680
<v Speaker 1>the news, and don't don't assume it's the final word,

0:15:40.720 --> 0:15:45.920
<v Speaker 1>because it's probably not. That was Bloomberg's Michelle fake Cortez

0:15:46.080 --> 0:15:50.160
<v Speaker 1>and Robert Langrath, and that's our show today. For coverage

0:15:50.160 --> 0:15:53.040
<v Speaker 1>of the outbreak from one and twenty bureaus around the world,

0:15:53.520 --> 0:15:58.440
<v Speaker 1>visit bloomberg dot com Flash Coronavirus and if you like

0:15:58.520 --> 0:16:01.400
<v Speaker 1>the show, please leave as a review. And a rating

0:16:01.720 --> 0:16:05.280
<v Speaker 1>on Apple Podcasts or Spotify. It's the best way to

0:16:05.320 --> 0:16:10.520
<v Speaker 1>help more listeners find our global reporting. The Prognosis Daily

0:16:10.640 --> 0:16:14.080
<v Speaker 1>edition is hosted by Me Laura Carlson. The show was

0:16:14.080 --> 0:16:19.119
<v Speaker 1>produced by Me topher Foreheaz, Jordan gas Pure, and Magnus Hendrickson.

0:16:20.160 --> 0:16:23.760
<v Speaker 1>Today's main story was reported by Michelle fe Cortez and

0:16:23.880 --> 0:16:29.400
<v Speaker 1>Robert Langriff. Original music by Leo Sidran. Our editors are

0:16:29.440 --> 0:16:34.800
<v Speaker 1>Francesco Levi and Rick Shine. Francesco Levi is Bloomberg's head

0:16:34.800 --> 0:16:37.160
<v Speaker 1>of podcasts. Thanks for listening.