Additional Info: Relative search volume (not absolute numbers)
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Google searches for 'how to immigrate to norway' correlates with...
Variable | Correlation | Years | Has img? |
Solar power generated in Central African Republic | r=0.94 | 8yrs | No |
Divorce rates in the United Kingdom | r=0.93 | 9yrs | No |
Master's degrees awarded in Legal professions and studies | r=0.92 | 10yrs | Yes! |
Votes for Democratic Senators in Oklahoma | r=0.83 | 6yrs | Yes! |
Popularity of the first name Infant | r=0.82 | 18yrs | No |
Votes for Democratic Senators in Illinois | r=0.82 | 6yrs | Yes! |
How insightful 'Be Smart' science YouTube video titles are | r=0.81 | 11yrs | Yes! |
Air pollution in Coeur d'Alene, Idaho | r=0.75 | 20yrs | Yes! |
Master's degrees awarded in consumer sciences | r=0.75 | 10yrs | Yes! |
Nuclear power generation in Sweden | r=0.65 | 18yrs | No |
The distance between Jupiter and Earth | r=0.5 | 20yrs | No |
Air pollution in Seattle, Washington | r=0.45 | 20yrs | No |
Google searches for 'how to immigrate to norway' 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.)