Additional Info: Relative search volume is a unique Google thing; the shape of the chart is accurate but the actual numbers are meaningless.
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Popularity of the 'what does the fox say' meme correlates with...
Variable | Correlation | Years | Has img? |
Google searches for 'Gangnam Style' | r=1 | 11yrs | No |
Automotive recalls for issues with Latches/Locks/Linkages | r=0.99 | 10yrs | No |
Kerosene used in Panama | r=0.99 | 9yrs | No |
Kerosene used in Austria | r=0.98 | 10yrs | Yes! |
Consumption of dry buttermilk products | r=0.98 | 9yrs | No |
Air pollution in Monroe, Louisiana | r=0.98 | 11yrs | No |
Popularity of the first name Hanna | r=0.98 | 10yrs | Yes! |
The number of midwives in Indiana | r=0.98 | 10yrs | No |
Total views on Vihart's YouTube videos | r=0.98 | 11yrs | No |
Value of the Victoria's Secret Annual Fantasy Bra | r=0.97 | 7yrs | No |
Electricity generation in Djibouti | r=0.96 | 9yrs | No |
The number of parking enforcement workers in Iowa | r=0.94 | 10yrs | No |
The number of movies Paul Walker appeared in | r=0.93 | 11yrs | No |
Google searches for 'Justin Timberlake' | r=0.92 | 11yrs | No |
Liquefied petroleum gas used in North Korea | r=0.9 | 9yrs | No |
Google searches for 'how do i stop procrastinating' | r=0.62 | 11yrs | No |
Popularity of the 'what does the fox say' meme 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.)