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Did you watch the video? That is not what they did. What you're describing is a brief anecdote they shared about what they were seeing on the ground. Their stat
by kolanos 6y ago
Did you watch the video? That is not what they did. What you're describing is a brief anecdote they shared about what they were seeing on the ground. Their statistics are based on state level aggregates for New York and California.
- wesammikhail 6y agoPeople will always put their fingers in their ears and not read/watch the source because it is easier to bash someone than to actually do the work that may change your beliefs
- Jd 6y agoThe source is gone.
- TechBro8615 6y agoWell, it’s also hard to watch the source video when YouTube goes out of their way to delete it. So here in this very thread, is a great example of the harms of taking down the content. It makes it hard to even have a discussion about its merits. I don’t understand why YouTube couldn’t leave the video up, and put some kind of warning or interstitial advising of problems with the content. I would have problems with that approach too, but certainly less so than I do with the wholesale deletion of the video. Anyway, you can find it hosted here: https://www.turnto23.com/news/coronavirus/video-interview-with-dr-dan-erickson-and-dr-artin-massihi-taken-down-from-youtube https://www.turnto23.com/news/coronavirus/video-interview-wi...
- shkkmo 6y agoIt isn't exactly what they did but it is fairly close. They consistently incorrectly extrapolate the covid positive test rate from a biased sample (biased by both the testing guidelines and self-selection) to the general population, not just for their county, but also for California, New York, the United States, Italy, Sweden and Norway. They then use this to massively misrepresent the lethality of Covid 19.
- Retric 6y agoState level data is collected using the exact same methods. In many places people with symptoms are told to self isolate until they have difficulty breathing etc. This makes state level data a highly biased sample. There are a few population studies for very specific areas, but no widespread statewide sampling anywhere. PS: The US has ~50,000 Coronavirus deaths. Assuming a very optimistic mortality rate of 0.5% suggests at most 10 million infections out of 330 million people or 3.3%. A higher mortality rate of say 5% would mean total infections are possibility as low as 0.3% of the US population.
- kolanos 6y agoI'm not saying these doctors are correct in their statistical extrapolations. What I am saying is the Kern County anecdote being spread around to discredit them by people who haven't even seen the video are practicing in the disinformation that they accuse these doctors of perpetrating.
- Retric 6y agoUsing state level data is exactly like sampling MBA heights. A biased sample is a biased sample. So, no I don’t see how it’s misinformation.
- btilly 6y agoGiven the delay between catching it and dying, a lot of the people who have it and will die from it are not currently counted in your deaths. This could mean that substantially more Americans have it. (Though on current projections, less than a factor of 2.)
- Retric 6y agoI was including that for my optimistic 0.5%. South Korea with a younger population, good healthcare system far from maximum capacity, and very good but not perfect testing has a CFR of 2.3% and rising. Diamond Princess has 14deaths out of 712cases, while not a representative sample it’s still conformation that a high percentage of even young healthy people need hospitalization. The biggest question IMO is how much we are undercounting fatalities. NYC lists Confirmed deaths at 11,820 plus Probable deaths at 5,395. They also add: Due to delays in reporting, recent data are incomplete. https://www1.nyc.gov/site/doh/covid/covid-19-data.page https://www1.nyc.gov/site/doh/covid/covid-19-data.page
- jerry1979 6y agoI watched the videos. Just like many others have said in this thread, the doctors took the percent of people who tested positive for covid and assumed that percent of people overall in the whole state had covid. Then they took the total number of deaths from covid, and divided that number by the population of the state.