That’s the metric, not cases. that we should stay focused on.
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From the get-go I concluded that “confirmed cases” was a problematic metric (due to false positives, varying testing methods and confirmation criteria, and an uncertain mix of people being tested and their outcomes) …. and that our laser focus should be on “daily new deaths” which, while subject to some definitional variance, is a binary, countable number.
See MUST READ: How will we know when we’ve turned a COVID-19 corner?
Somewhat contrary to my own advice, a couple of weeks ago, I started including the Case Fatality Rate (CFR%) in my morning COVID stats post.
Why is that “somewhat contrary to my own advice”?
Dividing a reasonably reliable number (deaths) by a potentially flakey number (cases) usually results in a potentially flakey “synthetic number” that might be misleading.
There was a glaring upward trend in the CSR%.
Noting the upward trend in the CFR%, a couple of readers asked “Why? What’s going on?”
In a prior post, I took a stab at the answer:
The simple arithmetic answer to the question: The CFR% is going up because daily deaths have plateaued (i.e. stabilized at their peak level) … while confirmed cases have fallen sharply.
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While that’s true, it didn’t really answer “why?”, so I started looking at the component number that was exhibiting the greatest variance: confirmed cases.
Why did cases explode, spike and then start declining so steeply?
Were these movements real or just loud statistical noise?