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Popularity of the first name Abby correlates with...
| Variable | Correlation | Years | Has img? |
| The number of telemarketers in California | r=0.99 | 20yrs | No |
| The number of typists in Florida | r=0.99 | 20yrs | No |
| The number of CEOs in Ohio | r=0.98 | 20yrs | No |
| Master's degrees awarded in Liberal arts | r=0.98 | 10yrs | No |
| US birth rates of triplets or more | r=0.98 | 20yrs | No |
| Google searches for 'learn spanish' | r=0.97 | 19yrs | No |
| U.S. intercountry adoptions | r=0.97 | 23yrs | No |
| The marriage rate in Idaho | r=0.96 | 23yrs | No |
| Arson in Idaho | r=0.95 | 22yrs | No |
| Google searches for 'oprah winfrey' | r=0.95 | 19yrs | No |
| The divorce rate in Kentucky | r=0.93 | 23yrs | No |
| US production of cottage cheese | r=0.91 | 22yrs | No |
| US household spending on clothing | r=0.89 | 23yrs | No |
Popularity of the first name Abby 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.)