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Global plane crashes correlates with...
Variable | Correlation | Years | Has img? |
Solar power generated in Czechia | r=0.96 | 29yrs | No |
Total annual sales revenue of Ford Motors in Canada | r=0.95 | 19yrs | No |
Popularity of the first name Brielle | r=0.9 | 47yrs | No |
The number of colelge chemistry teachers in New York | r=0.89 | 19yrs | No |
Popularity of the first name Jayce | r=0.88 | 48yrs | No |
Blue cheese consumption | r=0.86 | 27yrs | No |
The number of materials scientists in Florida | r=0.85 | 20yrs | No |
Air pollution in Prineville, Oregon | r=0.85 | 43yrs | Yes! |
Global shipwrecks | r=0.81 | 40yrs | No |
UFO sightings in South Carolina | r=0.79 | 47yrs | No |
The number of movies Elizabeth Olsen appeared in | r=0.78 | 30yrs | No |
UFO sightings in Montana | r=0.77 | 47yrs | No |
Google searches for 'pick up lines' | r=0.77 | 19yrs | No |
UFO sightings in Maine | r=0.77 | 47yrs | No |
UFO sightings in Florida | r=0.75 | 47yrs | No |
The number of set and exhibit designers in New Mexico | r=0.71 | 19yrs | Yes! |
Popularity of the first name Marshall | r=0.67 | 48yrs | No |
Formula One World Drivers' Champion's Point Margin | r=0.63 | 48yrs | Yes! |
The number of movies Ryan Gosling appeared in | r=0.46 | 27yrs | No |
Global plane crashes 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.)