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originally posted by: bigfatfurrytexan
a reply to: Serdgiam
Which reminds me an awful lot of the Global Warming argument in the early 2000's where thermometers were situated above BBQ pits and somehow yielded higher temperatures.
Lets evaluate what was classified as a COVID death. Prior to making any assumptions on the data set, i need to understand that the individual datasets were calibrated to begin with. I mean, it would render it all useless if one nation was calling it a COVID death if someone never tested positive for COVID, and other nations were not.
By the way, any comments on why the flu rate bottomed out? Is it because of super effective mask wearing? Then why did COVID spike while the flu bottomed out? There are questions I have that i never seem to get answered. But as a data analyst, that pesky R2 problem is not going away
And these people have the nerve to call anyone a science denier? Do they not understand the relationship between medical science and statistics?
originally posted by: Serdgiam
a reply to: bigfatfurrytexan
If you work with data, then you know as well as I do that it doesnt require specialization in a given field to be able to extract meaningful information from the data. Meaning, one doesnt need to be an epidemiologist to examine the data and numbers and make accurate inferences.
originally posted by: TheRedneck
a reply to: bigfatfurrytexan
And these people have the nerve to call anyone a science denier? Do they not understand the relationship between medical science and statistics?
That's my trigger. As someone who has spent their entire life following, learning, and understanding science, people like Nancy Pelosi crying that we should "follow the science" while simultaneously demonstrating how precious little she knows (or cares, I assume) scientific principles just drives me bonkers.
If you work with data, then you know as well as I do that it doesnt require specialization in a given field to be able to extract meaningful information from the data. Meaning, one doesnt need to be an epidemiologist to examine the data and numbers and make accurate inferences.
originally posted by: Lysergic
a reply to: Byrd
Sounds like some GateKeeper BS.
originally posted by: Serdgiam
...
As it stands, many take the process itself to be nearly holy. Like so many things, when its worded like that there will be a quip similar to "science corrects itself!" But instead of making people question, they just wholeheartedly believe the "Knowledge of the Week" as if it were a direct download of an instruction set.
wol.jw.org...
The world of medical research was astir with excitement. A 24-year-old graduate student at Cornell University had come up with a new theory on the cause of cancer and the experimental data to support it. The work seemed so impressive that some thought it could win him and his professor the Nobel prize.
By those who worked with him, the young man was considered one of the brightest scientists. In just a few weeks he was able to complete certain experiments that others had been struggling with for years. Projects seemed to work only when he was involved. Things seemed just too good to believe.
The reason soon became apparent. In July 1981, fraud was discovered in his work. A chemical that should not have been there evidently made the experiments turn out the way they were expected to. Quickly, scientific papers published on his work were withdrawn. Further investigations revealed that somehow he had entered graduate school without earning either a bachelor’s or a master’s degree. And professors in other schools he had attended recalled his not being able to repeat experiments he claimed to have done.