Additional Info: I asked a large language model, 'On a scale of 1-10, how _______ do you think this YouTube video title is?' for every video.
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How insightful LockPickingLawyer YouTube video titles are correlates with...
Variable | Correlation | Years | Has img? |
Popularity of the first name Patrick | r=0.99 | 8yrs | No |
Burglaries in Kansas | r=0.98 | 8yrs | Yes! |
Popularity of the first name Hunter | r=0.98 | 8yrs | No |
Burglaries in Montana | r=0.98 | 8yrs | No |
Robberies in Maine | r=0.98 | 8yrs | No |
The number of university economics teachers in Virginia | r=0.98 | 8yrs | No |
Popularity of the first name Sean | r=0.98 | 8yrs | No |
Popularity of the first name Bryce | r=0.97 | 8yrs | No |
Number of World of Warcraft Subscribers | r=0.96 | 8yrs | No |
The number of chemists in Alaska | r=0.96 | 8yrs | No |
Robberies in New Hampshire | r=0.95 | 8yrs | No |
The distance between Jupiter and Mercury | r=0.95 | 9yrs | No |
The distance between Jupiter and Earth | r=0.94 | 9yrs | No |
Popularity of the first name Victoria | r=0.94 | 8yrs | No |
Patents granted to Google | r=0.94 | 8yrs | No |
The number of mathematicians in California | r=0.93 | 8yrs | No |
The number of marriage therapists in Arizona | r=0.93 | 8yrs | No |
How insightful LockPickingLawyer YouTube video titles are 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.)