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 Saturn and Mercury correlates with...
| Variable | Correlation | Years | Has img? |
| China's Annual Passenger Car Production | r=0.99 | 18yrs | No |
| Biomass power generated in India | r=0.98 | 23yrs | No |
| Percentage of Americans with social media profiles | r=0.98 | 14yrs | No |
| Wind power generated in Czechia | r=0.98 | 22yrs | No |
| The number of statisticians in Massachusetts | r=0.97 | 20yrs | No |
| US dairy skim solids used to produce butter | r=0.93 | 22yrs | No |
| Blue cheese consumption | r=0.9 | 27yrs | No |
| Google searches for 'how to make baby' | r=0.89 | 20yrs | No |
| Biomass power generated in Madagascar | r=0.88 | 12yrs | No |
| Trip.com Group's stock price (TCOM) | r=0.87 | 20yrs | Yes! |
| Prudential's stock price (PUK) | r=0.81 | 22yrs | Yes! |
| The number of civil engineers in Michigan | r=0.75 | 20yrs | No |
The distance between Saturn and Mercury 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.)