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 Venus correlates with...
Variable | Correlation | Years | Has img? |
Popularity of the first name Alanna | r=0.96 | 48yrs | Yes! |
Electricity generation in Japan | r=0.95 | 42yrs | No |
Global count of operating nuclear power plants | r=0.9 | 48yrs | No |
Popularity of the first name Noemi | r=0.86 | 48yrs | No |
USA Population | r=0.84 | 48yrs | No |
Electricity generation in Denmark | r=0.73 | 42yrs | No |
Points scored by the Green Bay Packers | r=0.72 | 49yrs | No |
Total number of automotive recalls | r=0.67 | 48yrs | No |
Electricity generation in Norway | r=0.66 | 42yrs | No |
Home Run Count for the Texas Rangers Team | r=0.64 | 48yrs | Yes! |
NCAA Men's Skiing champion's points | r=0.61 | 48yrs | No |
Season wins for the Green Bay Packers | r=0.6 | 49yrs | Yes! |
Number of games won by Detroit Red Wings in NHL season | r=0.59 | 48yrs | Yes! |
Dried manure used for fertilizer in the US | r=0.58 | 30yrs | Yes! |
Arson in North Dakota | r=0.58 | 38yrs | Yes! |
Google searches for 'can texas secede from the union' | r=0.53 | 19yrs | No |
Points scored by the Minnesota Vikings | r=0.45 | 49yrs | No |
The distance between Uranus and Venus 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.)