Credit

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On Monday, I noted that after NPR reporters NPR reporters Geoff Brumfiel and Daniel Wood updated their report on the partisan divide regarding COVID-19 vaccination and death rates to include my consultation regarding their analysis and methodology, I learned that they had disregarded my warning about using Johns Hopkins University data for Florida because JHU's data for Florida specifically was still reflecting data as of June 3rd:

As I had noted back in September:

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Yesterday there was a bit of a brouhaha caused when NPR reporters Geoff Brumfiel and Daniel Wood published an in-depth report on the partisan divide when it comes to county-level COVID-19 vaccination and death rates, which was heavily influenced by my own work over the past seven months, including two hour-long interviews in which we went into in-depth discussions of data sources, methodology and conclusions.

The controversial aspect was due to the fact that their published piece originally failed to mention my involvement or assistance in any way whatsoever.

After being called out on this by myself and others, Brumfiel called me to personally apologize and rectify the situation. To his credit, he took full responsibility and specifically noted that his colleague, Daniel Wood, had nothing to do with the oversight. Also to his credit, he arranged for the NPR story to be quickly updated to mention my assistance by name as well as to link to one of my own related COVID data analysis posts:

December 5, 2021, 10:33am: See important updates at bottom.

NPR, December 5, 2021, 5:00am EST:

Pro-Trump counties now have far higher COVID death rates. Misinformation is to blame

by Daniel Wood, Geoff Brumfiel

Since May 2021, people living in counties that voted heavily for Donald Trump during the last presidential election have been nearly three times as likely to die from COVID-19 as those who live in areas that went for now-President Biden. That's according to a new analysis by NPR that examines how political polarization and misinformation are driving a significant share of the deaths in the pandemic.

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