1/ Today's Florida Covid-19 Update:

Positive percentage (7-day rolling average) below 5% for fourth straight week.

Slight blip attributable to Nov. 9 lab reporting debacle that inflated daily positive percentage to 7.88%.
2/ Hospitalizations:

Covid-occupied hospital beds fall to new low of 1,996, down from mid-July peaks of 9,500+.

First time below 2,000 since public reporting began.

Less than 5% of ~42,000 total occupied hospital beds.
3/ Deaths:

Deaths by "date of death" continue to decline from early August peak, but state bureaucrats continue to create new "Covid deaths" by matching old death certificates with old Covid cases.
4/ Our "Just Wait Two Weeks" chart:

New cases by age group by day, past 14 days.

See any spike among youngsters?

Me neither.

Because there hasn't been one.
5/ CDC "all-cause" deaths: 2019 vs. 2020

Weeks 1 - 40 (through Oct. 5).
6/ Case Fatality Rates (CFRs) age group by month:

Jun.-Sep. Covid was not the killer that Mar-May Covid was.

G614 is far more infectious but far less deadly than D614.
7/ Case Hospitalization Rates (CHRs) by age group by month:

Down 50% - 80% since March.

Even for those over age 75.

Only about 1 in 5 over age 75 with Covid now end up hospitalized in FL.
8/ And the "Grand Consilience" chart:

Using daily FL Covid-19 Caseline data.

7-day moving averages.

Covid is dying out in Florida.

Cases.

Emergency Department Visits.

Hospitalizations.

Deaths.

And Florida has been OPEN FOR BUSINESS for 3 weeks now.
9/ Find these charts, and many more.

With downloadable data.

For the State of Florida.

And 22 Florida counties covering 2 out of 3 Floridians.

business.fau.edu/covidtracker/
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More from @RebelACole

17 Oct
1/ Today's Florida Covid-19 testing data update.

After a disastrous lab "data dump," we are "officially back below 5% positive percentage.
2/ Testing by month and then by day for past 14 days.

Do you see a "spike" from re-openings schools and colleges?

No?

Me neither.

Because there wasn't one.

So much for that #PanicPorn headline.
Hospitalization data.

Covid-occupied beds down from peak of 9,500+ in mid-July to less than 2,100.

No discernable rise in past few weeks.

Maybe this is as low as it goes with bogus PCR testing "false positives."
Read 7 tweets
24 Sep
1/ #PaniPorn fear-mongerer Jane Musgrave @pbpcourts of the trashy @pbpost spreads misinformation about Covid deaths in FL & PBC.

"After a 4-day lull, COVID-19 deaths soared in Florida on Wednesday with 203 fatalities reported across the state, including a near-record 22 in PBC" ImageImage
2/ @pbpcourts reports:

"The number of deaths statewide is more than were reported in the past four days combined, and the most logged since Sept. 10, when 213 people were reported dead."

Yup.

@HealthyFla saved them up for your #PanicPorn headline.

9, 21 reported Sun-Mon. Image
3/ @pbpcourts reports:

"However, the reporting of deaths is often delayed by two weeks or more. It is unlikely that many of the deaths reported on Wednesday occurred within the past 24 hours."

Ya THINK SO?

You KNOW SO, yet you LIE to your readers.

Stop LYING, Jane Musgrave. ImageImage
Read 4 tweets
18 Sep
1/ Why @COVID19Tracking has Florida testing data WRONG.

I think I've figured out what the simpletons at CTP are doing wrong.

This chart appears on the first page of each day's State Report from @HealthyFla

It shows CUMULATIVE number of "persons tested" for Covid in FL.
2/ "Data scientists" at CTP are simply subtracting cumulative numbers of residents plus non-residents that tested positive and negative.

Then calculating daily percent positivity based on these two numbers.

So, for today:

3,244 / (23,695+3,244) =
3,244 / 26,950 = 12.08%.
3/ Because these are "cumulative number" of people tested, it DELETED persons tested more than once.

So if I got tested last month and again yesterday, my test yesterday is not counted.

I only get counted once for negative and positive.

Think about how many get tested > 1 time
Read 10 tweets
12 Sep
If you have time to read ONLY ONE article on Covid testing, I recommend this one.

It is FANTASTIC information!

And its been out there since early April.

Was the COVID-19 Test Meant to Detect a Virus?

uncoverdc.com/2020/04/07/was… via @tracybeanz
Image
Image
Read 7 tweets
12 Sep
1/This is STUNNING.

Rather than use "actual cases" to determine "false positive" rates, labs are using comparisons from different laboratories.

No lab knows what a true case is.

But ALL of the FDA EUAs are based upon comparisons with other lab results.

logicinthetimeofcovid.com/2020/09/07/wai… Image
So we are assessing "false positives" based upon other lab results that also cannot identify "false positives."

Why?

Because "experimenters" supposedly "cherry-pick" the samples.

REALLY?

UFB.
3/
"There are 2 ways to find out what false positive rate of a test is.
One is to run test on cases where there is certainty about the diagnosis and figure out how many results are wrong."
Read 7 tweets

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