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 Mercury and the moon correlates with...
| Variable | Correlation | Years | Has img? |
| Points allowed by the Los Angeles Chargers | r=0.92 | 7yrs | No |
| The number of social workers in Idaho | r=0.89 | 13yrs | No |
| The number of surveying and mapping technicians in Texas | r=0.77 | 20yrs | No |
| Votes for Democratic Senators in Arizona | r=0.75 | 15yrs | No |
| Average number of comments on PBS Space Time YouTube videos | r=0.72 | 9yrs | No |
| Google searches for 'minecraft' | r=0.6 | 14yrs | No |
| Total length of Numberphile YouTube videos | r=0.57 | 13yrs | No |
| Rain in Paris | r=0.51 | 17yrs | No |
| Solar power generated in Mali | r=0.46 | 12yrs | No |
| Popularity of the 'expanding brain' meme | r=-0.49 | 18yrs | No |
The distance between Mercury and the moon 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.)