You continue to want to find the person who posted the chart when all the data is perfectly available to refute. This proves my case that you can't refute the data, and only want to discredit the source. I could easily provide the source, but it is irrelevant. You can't dispute the data. Just because you don't know who posted the chart doesn't make the information inaccurate. You're a fraud, GWB. And now its more evident than ever.
Fun conversation with GWB: Me: "The Gravitational Constant on Mars is 3.711 m/s squared." GWB: "Who says this?" Me: The internet GWB: But who is the source? Me: Doesn't matter. GWB: you don't want to show the source because you know the data is from a bullshit source. Me: The data is correct. What about it is wrong GWB: The fact that you won't share the source means the data is wrong. hahaha....
Provide the Tweet you got the chart from or just hush up. Once again you are posting crap charts from Tweeters without attribution.
So the data at https://github.com/nytimes/covid-19-data/blob/master/us-counties.csv provides data in the following format: date,county,state,fips,cases,deaths Lets take a look at the data for Collier County, FL on January 17, 2021 2021-01-17,Collier,Florida,12021,25782,376 Based on this data tell us how the chart comes up with approximately 540 cases for January 17, 2021. (Hint it is not a delta from January 16, 2021 for total cases. 2021-01-16,Collier,Florida,12021,25645,375 Obviously the chart shows a 540 cases -- a delta from the data source showing 137 case increase between the two days in Collier County, FL. So much for cases --- nor does it align with cases per million based on county population of approximately 384,902 people (2019 data). Whether you look at cases or cases per million -- the chart is off. This basically demonstrates the chart is not drawn from the data source -- hence the chart is complete crap. Of course, you are unwilling to provide the Tweet which is the source of the chart.
You just don’t like the data. Source provided then means it’s wrong or misinterpreted or the writer was an ‘anti masker’. You don’t like the science and so you seek that which supports your fear porn narrative. Like when you said R0 of COVID is 4.5 and then provided no data behind that. It’s not. And anyone who says it is can easily be disputed.
See the post two above --- the chart from some Tweeter user does not represent the claimed data source. Hence the chart is crap.
I don't think I'll provide the tweet to you OR hush up. Put that in your pipe and smoke it. If you can't refute the data presented (and the source data linked) then you're the yambag.
The data in chart is bullshiat as noted below (once again). So the data at https://github.com/nytimes/covid-19-data/blob/master/us-counties.csv provides data in the following format: date,county,state,fips,cases,deaths (fips is federal county code) Lets take a look at the data for Collier County, FL on January 17, 2021 2021-01-17,Collier,Florida,12021,25782,376 Based on this data tell us how the chart comes up with approximately 540 cases (or per million) for January 17, 2021. (Hint it is not a delta from January 16, 2021 for total cases. 2021-01-16,Collier,Florida,12021,25645,375 Obviously the chart shows a 540 cases (or cases per million possibly)-- a delta from the data source showing 137 case increase in cases between the two days in Collier County, FL. So much for cases --- nor does it align with cases per million based on county population of approximately 384,902 people (2019 data). Whether you look at cases or cases per million -- the chart is off. I will note the data source does not provide cases per million so obviously the chart is not drawn directly from the claimed source. This basically demonstrates the chart is not drawn from the data source -- hence the chart is complete crap. Of course, you are unwilling to provide the Tweet which is the source of the chart.
EXACTLY. Anyone providing me data that I disagreed with, I'd go right to the data. I wouldn't ask a fucking stupid question like "How did you come by this data??" What matters is the data, not where the data came from IF it is verifiable through a number of sources publically.
The data in the chart is crap and not verifiable from ANY source. Let's walk through it again. So the data at https://github.com/nytimes/covid-19-data/blob/master/us-counties.csv provides data in the following format: date,county,state,fips,cases,deaths (fips is federal county code) Lets take a look at the data for Collier County, FL on January 17, 2021 2021-01-17,Collier,Florida,12021,25782,376 Based on this data tell us how the chart comes up with approximately 540 cases (or per million) for January 17, 2021. (Hint it is not a delta from January 16, 2021 for total cases. 2021-01-16,Collier,Florida,12021,25645,375 Obviously the chart shows a 540 cases (or cases per million possibly)-- a delta from the data source showing 137 case increase in cases between the two days in Collier County, FL. So much for cases --- nor does it align with cases per million based on county population of approximately 384,902 people (2019 data). Whether you look at cases or cases per million -- the chart is off. I will note the data source does not provide cases per million so obviously the chart is not drawn directly from the claimed source. This basically demonstrates the chart is not drawn from the data source -- hence the chart is complete crap. Of course, you are unwilling to provide the Tweet which is the source of the chart.