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 professional-sounding OverSimplified YouTube video titles are correlates with...
| Variable | Correlation | Years | Has img? |
| Liquefied petroleum gas used in Paraguay | r=0.96 | 6yrs | Yes! |
| The number of movies Matthew McConaughey appeared in | r=0.94 | 7yrs | No |
| Customer satisfaction with GE Appliances | r=0.94 | 6yrs | No |
| The number of movies Dakota Fanning appeared in | r=0.9 | 7yrs | No |
| Air quality in Las Cruces, New Mexico | r=0.88 | 7yrs | No |
| The number of actors in Wisconsin | r=0.86 | 7yrs | No |
| Hydopower energy generated in Portugal | r=0.82 | 6yrs | No |
| Google searches for 'who is donald trump' | r=0.77 | 7yrs | No |
| Google searches for 'superman' | r=0.72 | 7yrs | No |
| Google searches for 'can texas secede from the union' | r=0.68 | 7yrs | No |
| Air pollution in Canton, Ohio | r=0.62 | 7yrs | Yes! |
| The distance between Venus and Earth | r=0.55 | 7yrs | No |
How professional-sounding OverSimplified 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.)
