COVID-19 Inequalities. May 8, 2020, Part 1
Science Friday
Science Friday and WNYC Studios
4.4 • 6.3K Ratings
🗓️ 8 May 2020
⏱️ 47 minutes
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| 0:00.0 | This is Science Friday. I'm John Dankowski, sitting in for Ira Flato. Just a quick note here, |
| 0:06.2 | we won't be taking any calls for this pre-recorded hour, and Ira's just fine. He's just having a long |
| 0:12.4 | planned staycation week. Later this hour, we'll talk about how the coronavirus is disproportionately |
| 0:17.8 | affecting some communities in the United States and the systemic reasons for |
| 0:22.2 | why that is. But first, you may have seen the story. It looked frightening, to be sure. Two researchers |
| 0:28.0 | at Los Alamos National Laboratory in New Mexico say that after studying the genome of the novel |
| 0:33.3 | coronavirus in cases both old and new, the virus is mutating. And they say those mutations are making |
| 0:40.1 | the virus more contagious. But there are reasons to be skeptical about that claim. Viruses mutate all |
| 0:45.2 | the time, for starters, and there may not be much evidence that these mutations are actually |
| 0:49.2 | affecting how infectious the coronavirus is. Here to explain a bit more, plus other recent science news is Ryan Mandelbaum. |
| 0:57.3 | He's a science writer for Gizmodo. He joins me today from Brooklyn, New York. Ryan, welcome back to |
| 1:02.6 | Science Friday. Always great to be here, John. Thanks for having me. So I need to know, first of all, |
| 1:06.6 | what's wrong with this study about the mutating coronavirus? So a lot of this study is sort of thought |
| 1:12.5 | work, you know, just connecting the dots on previously recorded data. And then the study was put on |
| 1:19.6 | the bioarchive preprint server, which means that the study was not peer reviewed. So that's |
| 1:24.9 | important because it means that, you know, these researchers are trying to get |
| 1:28.3 | this research that could be important out quickly, but other scientists haven't been able to take |
| 1:33.3 | the time to take a look and look for any potential issues with the work. So when we're |
| 1:39.1 | reading something like this, we should be pretty skeptical and we should not necessarily start to get very, very |
| 1:45.1 | worried. That's right. As a reader of science news, when you see a big, scary headline, I think |
| 1:50.7 | the first thing that you really need to do is start looking for keywords in the news story, |
| 1:55.0 | sort of saying whether or not the study was peer reviewed or perhaps saying where it came from, who did it, who funded it. So this is just a |
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