Additional Info: I wrote a Python script using Astropy to calculate the distance between the named planets on the first day of each month for every year.
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The distance between Uranus and Mars correlates with...
Variable | Correlation | Years | Has img? |
Votes for the Democratic Presidential candidate in Illinois | r=0.9 | 12yrs | No |
Cumulative goals scored by Vincent Kompany in domestic matches | r=0.66 | 17yrs | Yes! |
Ticket sales for Chicago Cubs games | r=0.61 | 45yrs | No |
Points allowed by the Dallas Cowboys | r=0.51 | 49yrs | No |
Automotive recalls for issues with Suspension | r=0.48 | 48yrs | No |
Highest Nielsen rating for a TV show each year | r=-0.6 | 46yrs | No |
The distance between Uranus and Mars also correlates with...
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You caught me! While it would be intuitive to sort only by "correlation," I have a big, weird database. If I sort only by correlation, often all the top results are from some one or two very large datasets (like the weather or labor statistics), and it overwhelms the page.
I can't show you *all* the correlations, because my database would get too large and this page would take a very long time to load. Instead I opt to show you a subset, and I sort them by a magic system score. It starts with the correlation, but penalizes variables that repeat from the same dataset. (It also gives a bonus to variables I happen to find interesting.)