As someone who does a ton of data analysis for a living...

This is a purposely terrible choice for a chart. When you can read this chart properly, you can tell the data shows vaccination rates didn't matter much and blue counties weren't as vaccinated as it seems by a glance. This chart style was obviously chosen to make that difficult to tell and make the real data impossible to extract precisely from the melted together blobs.

Some things to remember:

• The very worst was almost 0.7%, which is pretty significant, a little over 30x what the flu does normally. Although, this is using the inherently inflated emergency counting, which is reasonable for a poor unorganized country that can't do real testing and cause of death examinations, which calls any death with a positive emergency high-false-positive junk test, as being a Covid death.
• You see that red line along the bottom, those are all zero's.
• Those big dots...those are up to 10K times the deaths of those little dots and obscuring if not totally hiding a massive disproportion. Counting deaths or infection rates in per population is always dumb and misleading, but common practice.
• The dot trick makes it seem like a downward trend as vaccination rate increases, but that is misleading. What you really see is a box at the high end of vaccination rate. This box is pretty well covered, especially guestimating for the data obscuring of bigger dots.
• If you ignore the red, you see that the blue extends all the way into the unvaccinated side, down to at least 30-35%. You also notice that much of the blue is under 75%. This chart type and its dot-trick hides how much of the blue is unvaccinated, but it is still clear that it is a lot.
• that solid line of blue dots and one red dot, along the right shows peak vaccination rate's failure.
• Heavily obscured by the dumb-dots, it appears that blue counties were mostly only between 55%-70% vaccinated, although it appears some carefully manipulation of dot overlapping may have hidden many blue counties whom were only 40 -55% vaccinated and had higher death rates.

Takeaways:

• This chart it total and utter manipulated/misleading garbage.
• Larger population densities are more at risk and thus more likely to be vaccinated. These are usually around larger urbanized cities, with high poverty rates, homeless, and students. The flood of low-info, politically uninformed, reactionary, and uneducated tend to lean towards blue.
• The normal death rate was about 0.05% to 0.25% and didn't tend to matter too much about vaccination rate.
• The highest vaccination rates only helped, at best obscured by a dumb chat type, to help reduce deaths by about 0.1% to 0.15%, although this seemed only for some counties with those high vaccination rates.
• The highest vaccination rate counties still had some very large counties with death rates comparable to the lowest vaccination rate counties.
• A large amount of blue counties had very low vaccination rates.