The website says "The number of reports alone cannot be interpreted as evidence of a causal association between a vaccine and an adverse event, or as evidence about the existence, severity, frequency, or rates of problems associated with vaccines."

There is only one interpretation of the word "cannot." There is no getting around this. You cannot use this dataset to draw conclusions regarding causal association between the COVID vaccine and a particular adverse event.

Have you actually worked with this dataset? If you have, I'd like to see your numbers. It's not a particularly easy database to work with.

What was your methodology? How did you sort the date? Did you look at age of the patient? Did you consider the time between the injection and the adverse event? Did you read through the notes? I ran a countif formula and counted 3000 deaths (not sorted by vaccine type, that's just all the vaccines). Did you read through all 3000 (2022 database) records? How did you decide which ones were caused by the vaccine and which ones were not? Or did you assume all reports were causally linked to the vaccine?

Do you have a link to your data or your "math?" If you didn't do this work, who did? Is it published somewhere? I keep seeing VAERS, VAERS, VAERS. "Look at VAERS." You can't tell anything just by looking at VAERS, you have to sort thousands of records. I'm working on that in Excel, but it's work and time consuming. If someone has this work done, I'd like to see it.

The website says "

Have you actually worked with this dataset? If you have, I'd like to see your numbers. It's not a particularly easy database to work with.