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Google's Net Income correlates with...
Variable | Correlation | Years | Has img? |
Annual US household spending on major appliances | r=0.98 | 19yrs | No |
Amazon.com's stock price (AMZN) | r=0.98 | 19yrs | No |
Sales of LP/Vinyl Albums | r=0.97 | 19yrs | Yes! |
Netflix's stock price (NFLX) | r=0.97 | 19yrs | No |
The number of psychiatrists in Florida | r=0.96 | 19yrs | No |
Total solar power generated globally | r=0.96 | 18yrs | No |
The number of heating, air conditioning, and refrigeration mechanics and installers in Idaho | r=0.95 | 19yrs | No |
Average length of Matt Parker's YouTube videos | r=0.93 | 12yrs | No |
Google searches for 'do vaccines work' | r=0.93 | 19yrs | No |
The number of Breweries in the United States | r=0.92 | 19yrs | Yes! |
Google searches for 'Mr. Beast' | r=0.91 | 19yrs | No |
The number of materials engineers in Florida | r=0.85 | 19yrs | No |
Google's Net Income 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.)