General Discussion
Related: Editorials & Other Articles, Issue Forums, Alliance Forums, Region Forumsat our current confirmed case rate, we will pass China on Thursday
with over 100,000 cases by end of day. Right now take the reported number at the end of the day and multiply by 1.3. That will be the final number on the following day.
And orange face anus mouth wants to pretend we can soon go about our normal daily lives!
Lock him up if there are no guts to 25thA the asshole
DonaldsRump
(7,715 posts)and I see no reason that it won't happen in the next few days, Trump is toast.
If we actually surpass China, it is definitive proof positive of his failures. He will, of course, blame the states/governors. However, surpassing China on this will speak powerfully to a majority of voters about the sheer incompetency of this Idiot.
I hope to God it doesn't happen, but I don't think it's possible to stop surpassing China now.
NRaleighLiberal
(60,014 posts)the really scary numbers come in a bit down the line at the current rate
500,000 by April 1
over 1 million by April 4
etc
Igel
(35,300 posts)Increased testing and spread.
It's a mistake to assume they just reflect spread. Until there's a large enough percentage, the numbers to watch are the # dead.
The death toll is still largely reflecting the period before most states implemented widespread social distancing.
And NY State's going to be a lagging in any curve, since the mayor of NY insisted on not implementing measures when he could, and the governor rejected the idea until near the end of last week. The numbers are averaged, places with no social distancing where the curve is more advanced and places with social distancing where they're behind the curve.
It's not a simple function in an Excel spreadsheet. Thinking has to go into the calculation. Try NY numbers separate from, say, California's and Georgia's and Texas'. I doubt you'll get the same coefficients on the fit curve. NY's is going to be terrifying, the others less so.
chicoescuela
(1,025 posts)Victor_c3
(3,557 posts)Were #1!
Were #1!
Were #1!
Were #1!
Were #1!
Igel
(35,300 posts)It's already #1 for admitted deaths, by a wide margin. Odds are it's #1 for actual infections, too.
tinrobot
(10,895 posts)Victor_c3
(3,557 posts)The trump presidency will be remembered for its disastrous bungling of a pandemic and monumental failed economy.
Ms. Toad
(34,060 posts)94,000+ by the end of the day Thursday. (My formula was only off by a couple hundred for today)
NRaleighLiberal
(60,014 posts)one website had it too high tonight, they corrected, so I am recalculating in a few hours. Seems numbers don't change much after 5-6 PM.
Ms. Toad
(34,060 posts)For worldometers, it's around 9. I wait for the new cases to drop to a handful, subtract the new "tomorrow" cases from the total cases for the day today and plug it into my dataset. That way I'm comparing apples to apples.
But the new US cases slow down considerably after 6-ish.
I don't think the rate of increase has changed. Look at this page & scroll down to the new daily cases.
The 21st is abnormally low and the 22nd is abnormally high. I think some of the cases from the 21st got shifted by a day, since the rest of the curve lines up pretty well. Maybe a state with a lot of cases missed the daily cut-off for reporting.
Princess Turandot
(4,787 posts)as soon as the feds allowed the states to do their own testing.
-As of 3/18, 22,000 people had been tested
-As of 3/22, 78,000 people had been tested
That's undoubtedly impacting/distorting any rate of growth calculation in the short term.
Ms. Toad
(34,060 posts)a polynomial, rather than an exponential, is working well with the ramp-up. Yesterday's prediction for today was 44,000+; the actual number at the worldometers close of day today was 43, 735. It's been within a thousand or so for the last 5 days or so - I've lost track. I adjust it every day - but the predictions a week out don't change much. (A month aout they are significantly different.)
D_Master81
(1,822 posts)Can you imagine the s**t show it would be in this country under Trump to contain a new virus this contagious.