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Jim Naureckas on Covid's Preventable Nightmare, Clare Garvie on Police Facial Recognition CounterSpin ([link removed])
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New Confirmed COVID-19 Cases per Day, normalized by population (chart: 91-DIVOC)

(Chart: 91-DIVOC ([link removed] States&show=25&y=highlight&scale=linear&data=cases-daily-7&data-source=jhu&xaxis=right&extra=United Kingdom,Germany,China,Canada,France#countries-normalized) )

This week on CounterSpin: It's hard to understand how journalists can report Donald Trump's repeated claim ([link removed]) that the US should do less coronavirus testing because "with smaller testing, we would show fewer cases!" without following up with "and that's why we're calling for his resignation." Trump's bizarre delusions on Covid-19 aren't just bats in his attic; they've driven a response that is nothing short of disastrous. He's backing up the no test/no disease fallacy, for instance, by cutting funding for testing sites around the country, a move that, Talking Points Memo reports ([link removed]) , local officials met with a "mixture of frustration, resignation and horror." We'll get an update on the preventable Covid nightmare, and US media's approach to it, from FAIR editor
Jim Naureckas.
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Facial Recognition at The Bean

(image: Center on Privacy & Technology)

Also on the show: As public protests against racist police violence grow, so too does law enforcement's capacity to criminalize that protest—including with the use of tools like facial recognition technology, which is almost certainly more prevalent and more meaningful to you than you realize. Police have access to millions of images, from social media, from cameras on the street, from drivers licenses—but little transparency about how they're using them, and few rules for how they should. We'll talk about that with Clare Garvie, senior associate with the Center for Privacy and Technology ([link removed]) at Georgetown Law.
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