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Global revenue generated by McDonald's correlates with...
Variable | Correlation | Years | Has img? |
Organic Food Sales Volume in the United States | r=0.96 | 8yrs | No |
Associates degrees awarded in Health professions | r=0.95 | 11yrs | No |
Google searches for 'Nicolas Cage' | r=0.88 | 18yrs | Yes! |
Google searches for 'zombies' | r=0.86 | 18yrs | Yes! |
The number of movies Dwayne Johnson appeared in | r=0.84 | 18yrs | No |
Air pollution in Los Angeles | r=0.83 | 18yrs | Yes! |
The number of microbiologists in South Dakota | r=0.81 | 14yrs | No |
The number of chemical engineers in Pennsylvania | r=0.79 | 18yrs | No |
Google searches for 'how to delete browsing history' | r=0.78 | 18yrs | No |
Popularity of the 'scumbag steve' meme | r=0.73 | 17yrs | No |
Arson in Alabama | r=0.72 | 18yrs | No |
Popularity of the 'trollface' meme | r=0.69 | 17yrs | No |
Instructor salaries in the US | r=-0.92 | 13yrs | No |
Global revenue generated by McDonald's 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.)