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The divorce rate in Utah correlates with...
| Variable | Correlation | Years | Has img? | 
| UK Public Library Count | r=0.94 | 12yrs | No | 
| Popularity of the first name Clarissa | r=0.88 | 23yrs | No | 
| Popularity of the first name Janet | r=0.88 | 23yrs | No | 
| US household spending on clothin for women | r=0.86 | 22yrs | No | 
| Kerosene used in Nepal | r=0.85 | 23yrs | No | 
| Ice cream consumption | r=0.83 | 23yrs | No | 
| Total value of all $1 bills printed | r=0.81 | 23yrs | No | 
| Annual US household spending on books | r=0.79 | 22yrs | No | 
| How geeky minutephysics YouTube video titles are | r=0.76 | 11yrs | No | 
| Air pollution in Salt Lake City, Utah | r=0.75 | 23yrs | No | 
| Rainfall in San Francisco | r=0.54 | 23yrs | No | 
| The number of movies Blake Lively appeared in | r=0.53 | 17yrs | No | 
| Air quality in Salt Lake City, Utah | r=-0.75 | 23yrs | No | 
| Butter consumption | r=-0.79 | 23yrs | No | 
| Portion of all US dairy skim-solids allocated to the production of yogurt, nonfrozen | r=-0.9 | 22yrs | No | 
| US average milk-fat content of yogurt, nonfrozen | r=-0.91 | 22yrs | No | 
The divorce rate in Utah 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.)
