Additional Info: Relative search volume (not absolute numbers)
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Google searches for 'please clap' correlates with...
Variable | Correlation | Years | Has img? |
Popularity of the 'harambe' meme | r=0.99 | 8yrs | No |
Votes for the Libertarian Presidential candidate in Minnesota | r=0.95 | 5yrs | Yes! |
Votes for Republican Senators in Minnesota | r=0.94 | 6yrs | Yes! |
Votes for the Libertarian Presidential candidate in Mississippi | r=0.89 | 5yrs | Yes! |
Boston Celtics' annual draft pick count | r=0.86 | 19yrs | Yes! |
Air pollution in Bozeman, Montana | r=0.78 | 18yrs | Yes! |
The number of university philosophy and religion teachers in Louisiana | r=0.72 | 15yrs | Yes! |
xkcd comics published about artificial intelligence | r=0.65 | 16yrs | Yes! |
Google searches for 'please clap' 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.)