COVID Deaths vs. Various Factors- A New Dashboard
A couple week back I wrote a post about the various confounders that make determining the efficacy of the vaccines basically impossible through strictly observational data:
Earlier in the year, I had shown that at the US County level, the % of smokers typically was more correlated with COVID deaths than vaccination rates.
Following the theme of these posts, I have created a new dashboard that can be used for anyone interested to explore COVID Deaths vs. vaccination rates & a handful of other population characteristics.
Simple dashboard, looks like this:
Starting in the upper left, choose the Region of interest, the Population Characteristic of interest and the date range. You can also click on a State(s) in the map to show only that State(s). On the right hand side, you will see a plot of COVID Deaths per 100K vs. % of Population Fully Vaccinated (each circle represents a County, sized relative to population). To the right of that plot, you will see COVID Deaths per 100K vs. the selected Population Characteristic (e.g. Median Household Income, % of Smokers, etc.).
Here is a link to the dashboard (best viewed on a larger screen), hope it’s interesting to some!
You should send your resume to MSNBC, CNN and face. And HHS. They need competent analysts.
But as we all suspect, they probably have competent analysts, but have chosen to suppress them, or subvert their work to support their political objectives. As Mark Twain observed, (corrupt) figures lie and liars figure.
These charts require someone able to understand statistics and nuance.
These were really interesting, especially the ones correlating to income v obesity, exercise and smoking. The problem is that income in my state is also correlated to being on team blue, and hence on team covid "if one booster is good, then 3 are 3x as good" ...
Your charts make me realize how hard it is to *conclude* much of anything, per your prior article.
Thank you!!!