I’m not sure of this info, but it wouldn’t be shocking, if true...
Early data painted two very different pictures - WA vs NY... and we never really had a good explanation for that.
Early data painted two very different pictures - WA vs NY... and we never really had a good explanation for that.
I think, at least, it’s a good idea to consider the possibility...
Here’s some early data I captured; it was as if there were two different bugs.
Here’s some early data I captured; it was as if there were two different bugs.
WA State had clear anomalies, the biggest was death count at a single retirement home.
Shocking that a bug could wipe out that many in one Senior Center; data is still relevant, bc NY didn’t experience same.
Even if you remove Sr. Center from datasets there’s still anomaly.
Shocking that a bug could wipe out that many in one Senior Center; data is still relevant, bc NY didn’t experience same.
Even if you remove Sr. Center from datasets there’s still anomaly.
In any case, we should be careful jumping to conclusions... but it’s hard to ignore the disparity in impact.
Not just WA & NY from that data capture - there are major data anomalies throughout.
We’re missing something, here...
Not just WA & NY from that data capture - there are major data anomalies throughout.
We’re missing something, here...
For instance, there are whole zip codes in FL filled with Sr. Citizens...
Remarkable that “The Villages, FL” seemed to fair quite well?! 🤷🏼♂️
Could be different strains... or it could be that they pissed out bad data from the beginning.
Or, both.
[End]
Remarkable that “The Villages, FL” seemed to fair quite well?! 🤷🏼♂️
Could be different strains... or it could be that they pissed out bad data from the beginning.
Or, both.
[End]
