Well, virus prediction modeling just lost all credibility. But maybe only because of the way it was explained to the public? 
-
-
People put too much faith in analytical predictions. If analytics were perfect banks and casinos would never lose.
-
This Tweet is unavailable.
- Show replies
New conversation -
-
-
This Tweet is unavailable.
-
Why not use UT or TX...
End of conversation
-
-
-
seems like they have to use worst case scenario to anticipate need
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
It is managing expectations. Better to tell people 100-200K deaths and have 50-100K, then to tell people the latter and wind up with 50-100K.
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
I think they explained that by saying per 100,000, but I get that the fact that different factors play into the 100,000 # Like public transportation, demographics, etc...
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
The population density is far greater in both than in most of the country.
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
CNY-WNY counties have single digit # of deaths. Fingers crossed. (Washed fingers)
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
There is a scientist in Ohio that created a modeling Facebook page and is in full agreement with you. The dire predictions from the administration (and even many local governments) seem to be an order of magnitude higher than they are likely to be based on his models.
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.