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 'rickroll' meme correlates with...
| Variable | Correlation | Years | Has img? |
| The number of market research analysts in Maine | r=0.97 | 11yrs | No |
| The number of social workers in West Virginia | r=0.96 | 13yrs | Yes! |
| Google searches for 'housing prices' | r=0.94 | 16yrs | Yes! |
| The number of computer user support specialists in Hawaii | r=0.94 | 11yrs | No |
| The number of first-line supervisors of police and detectives in South Dakota | r=0.91 | 13yrs | No |
| Tesla's stock price (TSLA) | r=0.9 | 13yrs | No |
| The number of school teachers in Oklahoma | r=0.9 | 13yrs | No |
| Google searches for 'Tamagotchi' | r=0.89 | 16yrs | No |
| Votes for Democratic Senators in Virginia | r=0.86 | 6yrs | No |
| Kerosene used in Jamaica | r=0.85 | 16yrs | No |
| Powerball lottery numbers | r=0.75 | 13yrs | No |
| Google searches for 'elon musk' | r=0.7 | 14yrs | No |
| Bachelor's degrees awarded in Psychology | r=0.68 | 10yrs | No |
| Google searches for 'Barack Obama' | r=0.59 | 18yrs | No |
| Average views of Casually Explained YouTube videos | r=-0.96 | 9yrs | No |
Popularity of the 'rickroll' 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.)