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Average number of comments on Mark Rober YouTube videos correlates with...
Variable | Correlation | Years | Has img? |
Nuclear power generation in China | r=0.98 | 11yrs | No |
Associates degrees awarded in Mathematics and statistics | r=0.98 | 11yrs | No |
Master's degrees awarded in Health professions and related programs | r=0.98 | 10yrs | No |
American cheese consumption | r=0.98 | 11yrs | No |
Popularity of the first name Colt | r=0.97 | 12yrs | No |
Master's degrees awarded in Biological and biomedical sciences | r=0.97 | 10yrs | No |
Bachelor's degrees awarded in Mathematics and statistics | r=0.97 | 10yrs | No |
Bachelor's degrees awarded in Engineering | r=0.96 | 10yrs | No |
Cheddar cheese consumption | r=0.96 | 11yrs | No |
Popularity of the first name Demi | r=0.96 | 12yrs | No |
The number of Breweries in the United States | r=0.93 | 12yrs | Yes! |
Average number of comments on Mark Rober YouTube videos 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.)