Our overlords say simultaneously that VAERS data is garbage but also we don’t need to worry that early safety signals will slip by them since they are watching VAERS that is set up for just this situation. <holds head>
Here’s a intro example of why VAERS is definitely not random data.
If you sort Moderna lot # by number of reports (black line: higher reports to the right) you can then basically draw a straight line of first report dates [green line] from each lot (the red arrow that goes up to the left from mid right; date goes vertically in days x 10 since the start of 2020). That would not happen if the reports were noise!
Also I got the Moderna lot info from a family that was vaxed relatively early, but being middle aged they weren’t vaxed right away since they had to wait for the wave of early vaxing of older folks. Their lots show up exactly where you would expect as the average age red line with dots for each lot starts to fall! See the two red spikes down to zero for those two lots used as markers.
Much more to come but I think this is a sufficient calling card ;)
I wouldn't expect peculiarities of rollout policy to produce such a clean exponential distribution - I would expect policy boundaries to produce strange discontinuities.
The linear, nearly monotonic correlation of first event to sort order of event counts is incredible.
Your plot makes me wonder whether the issue is just related to when the batch began to be used, and whether the "better" batches - that also went into use more recently - just haven't all been used up?
Brilliant, thanks. Doing the research and data analysis that should be done and published by actual health authorities.
Good work! Here is mine: https://www.bitchute.com/video/67otWQEk8gUq/ https://www.bitchute.com/video/B6CSSKqVKsoi/ https://i.imgur.com/JHDER1i.jpg https://i.imgur.com/q4q6n24.jpg
Nice work! Thanks for putting this up!
I wouldn't expect peculiarities of rollout policy to produce such a clean exponential distribution - I would expect policy boundaries to produce strange discontinuities.
The linear, nearly monotonic correlation of first event to sort order of event counts is incredible.
Your plot makes me wonder whether the issue is just related to when the batch began to be used, and whether the "better" batches - that also went into use more recently - just haven't all been used up?