The Coronavirus, not the beer

[thethe]

The audacity of the ****ing morons concerned about the lives of some but have no problem killing off fetus’s wholesale.

The posters here are mostly jokers. Don't have a clue but pretend they know things even though its strictly partisan driven.

They continually get the big issues wrong. It should be humbling but it has seemed to embolden them.

Can't wait to see what they get wrong next.

[goldfly]

The audacity of the ****ing morons concerned about the lives of some but have no problem killing off fetus’s wholesale.

Lol

When all else fails, pivot to abortion lol

[chop2chip]

I would be interested to see a comparison of nursing home residents vs. non-resident 80+ year olds.

[thethe]

Its been approx 19 days since Georgia removed their lock downs.

Can you guess which direction positivity rates are going?

[thethe]

I would be interested to see a comparison of nursing home residents vs. non-resident 80+ year olds.

It would have to be drastic because if you extrapolated that death rate to the general elderly population we would have a massively higher number.

[thethe]

I would be interested to see a comparison of nursing home residents vs. non-resident 80+ year olds.

Just using the death rate of those patients [not factoring in age] and using that figure against 80+ in US would amount to approx 79.6k deaths. S0 basically the total amount in the US.

Horrible policy is what has driven these deaths up and not the virus alone. That and of course bull**** death counting.

[thethe]

Have to say it's amusing how you all have moved the goalposts in addition to how hopelessly wrong you've been.

[nsacpi]

Its been approx 19 days since Georgia removed their lock downs.

Can you guess which direction positivity rates are going?

do you have some data to share?

[thethe]

do you have some data to share?

The internet is an amazing thing.

Covidtracking.com/api

But I'm guessing you think I'm making stuff up or just regurgitating what Twitter accounts are saying.

[nsacpi]

The internet is an amazing thing.

Covidtracking.com/api

But I'm guessing you think I'm making stuff up or just regurgitating what Twitter accounts are saying.

I asked because I've seen two sets of differing data on the number of new cases each day.

[thethe]

I asked because I've seen two sets of differing data on the number of new cases each day.

Share those sources and we can figure out the cause of the delta

[nsacpi]

I've seen new cases data for Georgia that look like this for the last 14 days:

4/29 856
4/30 410
5/1 990
5/2 1,110
5/3 469
5/4 409
5/5 549
5/6 1,102
5/7 698
5/8 462
5/9 789
5/10 469
5/11 853
5/12 802

Are those the same as the data you are seeing.

And I'm curious about what the data you are using on tests by day look like.

The data above appear to be coming from the Georgia Dept of Public Health.

[thethe]

This is the data on the data source I provided.

If you give me a link to your source then I'll look.


date New Positives Positive Rate
20200512 708 6.50%
20200511 486 6.28%
20200510 909 11.05%
20200509 426 5.49%
20200508 667 6.50%
20200507 743 5.64%
20200506 985 30.27%
20200505 343 1.95%
20200504 766 9.31%
20200503 296 100.00%
20200502 1036 16.10%
20200501 1115 5.77%
20200430 583 11.42%
20200429 957 24.42%
20200428 702 5.46%
20200427 512 12.98%
20200426 706 16.77%
20200425 548 4.63%
20200424 635 10.39%

[nsacpi]

This is the data on the data source I provided.

If you give me a link to your source then I'll look.


date New Positives Positive Rate
20200512 708 6.50%
20200511 486 6.28%
20200510 909 11.05%
20200509 426 5.49%
20200508 667 6.50%
20200507 743 5.64%
20200506 985 30.27%
20200505 343 1.95%
20200504 766 9.31%
20200503 296 100.00%
20200502 1036 16.10%
20200501 1115 5.77%
20200430 583 11.42%
20200429 957 24.42%
20200428 702 5.46%
20200427 512 12.98%
20200426 706 16.77%
20200425 548 4.63%
20200424 635 10.39%

i've seen those numbers too...which is why i'm puzzled

also in the data you just provided (which I appreciate) there are some strange results for May 3.

[thethe]

i've seen those numbers too...which is why i'm puzzled

also in the data you just provided (which I appreciate) there are some strange results for May 3.

Thats their data set.

They have no documented negatives on that day so it may just be some positive lag from a day prior but who knows. Most of the people that run these things are completely useless when given data exports from various locations and have to build joins to combine.

[nsacpi]

Thats their data set.

They have no documented negatives on that day so it may just be some positive lag from a day prior but who knows. Most of the people that run these things are completely useless when given data exports from various locations and have to build joins to combine.

It's crazy that on an important question of whether GA positive rates are going up or down we have two different data sets and one of them has some strange data reflecting a possible pause in counting. I don't even know what accounts for the differences in the number of positive cases being reported.

[thethe]

It's crazy that on an important question of whether GA positive rates are going up or down we have two different data sets and one of them has some strange data reflecting a possible pause in counting. I don't even know what accounts for the differences in the number of positive cases being reported.

What source is feeding the data you are using. I know you said it looks like Georgia department of health but where are you getting the data from?

[nsacpi]

What source is feeding the data you are using. I know you said it looks like Georgia department of health but where are you getting the data from?

I'm getting it from a Wiki page. Their grand total data match the Georgia Department of Public Health data and they cite GDPH as their source. My guess is they take the total cases data each day and use the difference from the prior day to get new cases.

[nsacpi]

The new cases should be equal to number of positive tests. For some reason they are not.

[thethe]

I'm getting it from a Wiki page. Their grand total data match the Georgia Department of Public Health data and they cite GDPH as their source. My guess is they take the total cases data each day and use the difference from the prior day to get new cases.

I've seen sites such as NY that continuously update prior days for late results.

Ny guess is your source plugs those changes in the delta of the day.