So how are you verifying that you data is 100% accurate? How can you verify, empirically, even ONE vaccine injury using the VAERS data?
Can you point to something in VAERS that confirms even a single number it reports has been verified as a vaccine injury? Can you show me that in the raw data, please?
Watch how your argument is working.
"There were 15,000 gun deaths in the US last year. Trump supporters are a huge problem."
"What? What does this have to do with Trump supporters?"
"Well, 15,000 gun deaths? Trump supporters are conservatives and lots have guns. Law of large numbers. Trump supporters must be causing a lot of deaths, even if a few of those gun deaths don't apply to them.
"Can you verify that even a single Trump supporter killed anyone with a gun last year? Does the data break out gun crime by political affiliation?"
"Well, no. But seriously, if there are that many gun deaths, and Trump supporters like guns, then it must be Trump supporters that are the problem."
You see the logical flaw here? I can assume all I want about the data outliers, but that's not science. That's me wanting to believe Trump supporters are violent psychopaths, and making assumptions about data that cannot confirm my theory, based on the "law of large numbers."
I have nothing to support the notion that Trump supporters are the big problem of gun crime, and you have nothing to support that vaccine injuries have any significant representation in the VAERS data.
Lots of people died from medical conditions after getting the vaccine. It is impossible for you, using VAERS data, to establish that any single one of them is due to the vaccine, and therefore, the law of large numbers offers you NOTHING you can use to establish a proportion to assume how represented the outliers are.
I don't think you're responding to my point, though.
Let's try this. Do some data science on this.
I just generated a list of 10,000 cars from a random website where people in the US list the cars they own. Please tell me accurately how many times a 2020 Porche GT Carerra shows up on my list.
You get no further information than the fact that there are 10,000 cars, and the people live in the US. Use your law of large numbers.
So how are you verifying that you data is 100% accurate? How can you verify, empirically, even ONE vaccine injury using the VAERS data?
Can you point to something in VAERS that confirms even a single number it reports has been verified as a vaccine injury? Can you show me that in the raw data, please?
Watch how your argument is working.
"There were 15,000 gun deaths in the US last year. Trump supporters are a huge problem."
"What? What does this have to do with Trump supporters?"
"Well, 15,000 gun deaths? Trump supporters are conservatives and lots have guns. Law of large numbers. Trump supporters must be causing a lot of deaths, even if a few of those gun deaths don't apply to them.
"Can you verify that even a single Trump supporter killed anyone with a gun last year? Does the data break out gun crime by political affiliation?"
"Well, no. But seriously, if there are that many gun deaths, and Trump supporters like guns, then it must be Trump supporters that are the problem."
You see the logical flaw here? I can assume all I want about the data outliers, but that's not science. That's me wanting to believe Trump supporters are violent psychopaths, and making assumptions about data that cannot confirm my theory, based on the "law of large numbers."
I have nothing to support the notion that Trump supporters are the big problem of gun crime, and you have nothing to support that vaccine injuries have any significant representation in the VAERS data.
Lots of people died from medical conditions after getting the vaccine. It is impossible for you, using VAERS data, to establish that any single one of them is due to the vaccine, and therefore, the law of large numbers offers you NOTHING you can use to establish a proportion to assume how represented the outliers are.
I don't think you're responding to my point, though.
Let's try this. Do some data science on this.
I just generated a list of 10,000 cars from a random website where people in the US list the cars they own. Please tell me accurately how many times a 2020 Porche GT Carerra shows up on my list.
You get no further information than the fact that there are 10,000 cars, and the people live in the US. Use your law of large numbers.
You didn't give me an answer to the question. Do your math and I can verify whether or not your system works.
Generally, you've resisted ever having to prove your logic or algorithms can do anything you've claimed. You can do it now.