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Super Bowl TV viewership correlates with...
Variable | Correlation | Years | Has img? |
The number of music directors and composers in Massachusetts | r=0.96 | 20yrs | No |
Popularity of the first name Lyric | r=0.93 | 33yrs | Yes! |
Popularity of the first name Colton | r=0.92 | 33yrs | No |
The price of gold | r=0.91 | 25yrs | No |
Occidental Petroleum's stock price (OXY) | r=0.88 | 21yrs | No |
Google searches for 'google' | r=0.86 | 19yrs | No |
Google searches for 'bing' | r=0.86 | 19yrs | No |
Exxon Mobil's stock price (XOM) | r=0.81 | 21yrs | No |
Google searches for 'Taylor Swift' | r=0.79 | 17yrs | No |
Votes for the Libertarian Presidential candidate in West Virginia | r=0.76 | 7yrs | No |
Google searches for 'pick up lines' | r=0.68 | 19yrs | No |
Number of Earthquakes in the United States | r=0.65 | 23yrs | No |
Total minutes of Doctor Who aired | r=0.55 | 33yrs | No |
The number of movies Tina Fey appeared in | r=0.47 | 24yrs | No |
Super Bowl TV viewership 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.)