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Number of edits to the Wikipedia article for Elon Musk correlates with...
| Variable | Correlation | Years | Has img? |
| The number of mechanical door repairers in Washington | r=0.94 | 19yrs | No |
| Popularity of the first name Walker | r=0.94 | 19yrs | No |
| Google searches for 'who is elon musk' | r=0.92 | 18yrs | No |
| Google searches for 'when is new years' | r=0.92 | 19yrs | No |
| Google searches for 'how to go to space' | r=0.92 | 19yrs | No |
| Google searches for 'that is sus' | r=0.92 | 19yrs | No |
| Popularity of the first name Teddy | r=0.91 | 19yrs | No |
| Annual US household spending on eggs | r=0.91 | 19yrs | No |
| Popularity of the first name Maeve | r=0.91 | 19yrs | No |
| The number of authors in California | r=0.91 | 19yrs | No |
| Sales of LP/Vinyl Albums | r=0.9 | 19yrs | No |
| Annual US household spending on meats, poultry, fish, and eggs | r=0.9 | 19yrs | No |
| Tesla's stock price (TSLA) | r=0.9 | 12yrs | No |
Number of edits to the Wikipedia article for Elon Musk 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.)
