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.
Report an error
The distance between Neptune and Saturn correlates with...
Variable | Correlation | Years | Has img? |
Global iPod Sales | r=0.96 | 9yrs | No |
The number of kindergarten teachers in Louisiana | r=0.93 | 20yrs | Yes! |
Fossil fuel use in Spain | r=0.91 | 42yrs | No |
Cigarette Smoking Rate for US adults | r=0.91 | 21yrs | No |
The number of tailors, dressmakers, and custom sewers in Alabama | r=0.83 | 20yrs | Yes! |
The number of librarians in Wisconsin | r=0.82 | 16yrs | No |
Lebron James' Regular Season Point Total | r=0.67 | 19yrs | No |
Air pollution in Dayton | r=0.63 | 44yrs | Yes! |
Robberies in New Hampshire | r=0.62 | 38yrs | No |
Number of seasons Manchester United won matches | r=0.52 | 48yrs | No |
Points scored by the San Francisco 49ers | r=-0.6 | 49yrs | No |
The distance between Neptune and Saturn also correlates with...
<< Back to discover a correlation
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.)