You are right about the tail of garbage lot #'s through typo entries etc and ForkInSocket is right about the exponential. My plot here starts at a place well into the garbage tail of Moderna (batches need to have at least 10 events) and gives lots sequential x locations sorted by low to hi events L->R. Then for each lot TIME and events is vertical with 1/1/2020 at y=0 which makes things more viewable. Then I have used earliest report date for each batch as a line (basically linear -- lines don't appear in garbage data LOL) so you can see the early batches that are going exponential are the ones given to the oldest first (also have an average age of eventee for each batch line) and the date line is ~linear up and to the left! This is all for Moderna only but I can select the others -- it's just that Moderna stands out. I added markers for the two batches some friends of mine took and they happen at the dates you would expect as shots were opened up from just the elderly. I also marked what batch numbers I could find as valid from web searches and all of those are on the right side as you would expect also and none are in the left "semi garbage" tail. You can contact me through my substack email if you want to leverage efforts. I have some time to work on this now since I retired to skip the shot. (BTW, this makes sense about data entry typos as I also did a menstruation search and came up with ~1% of eventees as male in just that single character field LOL) https://baizuobu.substack.com/p/incoming-series-vaers-manufacturer
agreed.
You are right about the tail of garbage lot #'s through typo entries etc and ForkInSocket is right about the exponential. My plot here starts at a place well into the garbage tail of Moderna (batches need to have at least 10 events) and gives lots sequential x locations sorted by low to hi events L->R. Then for each lot TIME and events is vertical with 1/1/2020 at y=0 which makes things more viewable. Then I have used earliest report date for each batch as a line (basically linear -- lines don't appear in garbage data LOL) so you can see the early batches that are going exponential are the ones given to the oldest first (also have an average age of eventee for each batch line) and the date line is ~linear up and to the left! This is all for Moderna only but I can select the others -- it's just that Moderna stands out. I added markers for the two batches some friends of mine took and they happen at the dates you would expect as shots were opened up from just the elderly. I also marked what batch numbers I could find as valid from web searches and all of those are on the right side as you would expect also and none are in the left "semi garbage" tail. You can contact me through my substack email if you want to leverage efforts. I have some time to work on this now since I retired to skip the shot. (BTW, this makes sense about data entry typos as I also did a menstruation search and came up with ~1% of eventees as male in just that single character field LOL) https://baizuobu.substack.com/p/incoming-series-vaers-manufacturer
That's quite a chart!
After my post, it occurred to me that the age stratified rollout could possibly explain the distribution.