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Amazon's shipping revenue in millions of dollars correlates with...
Variable | Correlation | Years | Has img? |
Popularity of the first name Rhett | r=1 | 11yrs | No |
Liquefied petroleum gas used in Estonia | r=0.98 | 11yrs | No |
Popularity of the 'loss' meme | r=0.98 | 10yrs | Yes! |
The number of university economics teachers in Nebraska | r=0.97 | 11yrs | No |
The number of veterinary technologists and technicians in Connecticut | r=0.97 | 11yrs | No |
Christmas Price Index in the United States | r=0.95 | 11yrs | No |
The number of private detectives in Delaware | r=0.95 | 11yrs | Yes! |
The number of insurance sales agents in Connecticut | r=0.94 | 11yrs | No |
Ticket sales for Kansas City Royals games | r=0.92 | 11yrs | No |
Visitors to Disneyland | r=0.9 | 10yrs | No |
UFO sightings in Colorado | r=0.89 | 11yrs | No |
The number of hotel managers in Vermont | r=0.88 | 11yrs | Yes! |
Google searches for 'who is donald trump' | r=0.85 | 11yrs | No |
Amazon's shipping revenue in millions of dollars 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.)