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Season rating of "Two and a Half Men" correlates with...
Variable | Correlation | Years | Has img? |
The number of first-line retail sales supervisors in Arkansas | r=0.98 | 6yrs | No |
Jet fuel used in Serbia | r=0.93 | 10yrs | Yes! |
Paychex's stock price (PAYX) | r=0.9 | 12yrs | Yes! |
The number of podiatrists in Michigan | r=0.84 | 12yrs | Yes! |
Popularity of the first name Franklin | r=0.82 | 12yrs | Yes! |
Solar power generated in Ethiopia | r=0.8 | 8yrs | No |
Electricity generation in Benin | r=0.8 | 12yrs | Yes! |
Super Bowl point difference | r=0.76 | 12yrs | Yes! |
Google searches for 'where do birds go when it rains' | r=0.7 | 12yrs | No |
The number of actuaries in South Carolina | r=0.64 | 10yrs | No |
Season wins for the Chicago Bears | r=-0.5 | 12yrs | No |
Season rating of "Two and a Half Men" 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.)