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Intercountry adoptions correlates with...
Variable | Correlation | Years | Has img? |
The number of compensation and benefits managers in District of Columbia | r=1 | 10yrs | No |
Google searches for 'Nintendo' | r=0.99 | 6yrs | No |
The number of computer programmers in Michigan | r=0.99 | 11yrs | No |
The number of tapers in Illinois | r=0.99 | 11yrs | No |
Popularity of the first name Ben | r=0.96 | 15yrs | No |
Google searches for 'learn spanish' | r=0.96 | 10yrs | No |
UK Music Album Sales | r=0.95 | 6yrs | No |
Arson in Hawaii | r=0.94 | 15yrs | No |
The number of movies Timothee Chalamet appeared in | r=0.93 | 6yrs | No |
Air pollution in Coeur d'Alene, Idaho | r=0.93 | 15yrs | No |
Popularity of the 'weird flex but ok' meme | r=0.92 | 8yrs | No |
Motor vehicle thefts in Wyoming | r=0.92 | 15yrs | Yes! |
Popularity of the first name Vicente | r=0.92 | 15yrs | No |
Motor vehicle thefts in Washington | r=0.84 | 15yrs | No |
The distance between Jupiter and Earth | r=0.67 | 15yrs | No |
Cleansheets Achieved by Golden Glove Winners in the English Premier League | r=0.67 | 9yrs | No |
Intercountry adoptions 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.)