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 'hip and with it' LockPickingLawyer YouTube video titles are correlates with...
| Variable | Correlation | Years | Has img? |
| Google searches for 'sleepwalking' | r=0.98 | 9yrs | No |
| Burglaries in Maine | r=0.97 | 8yrs | No |
| Popularity of the 'scumbag steve' meme | r=0.97 | 9yrs | No |
| Popularity of the 'y u no' meme | r=0.96 | 9yrs | Yes! |
| Burglaries in Texas | r=0.96 | 8yrs | No |
| The number of university foreign language and literature teachers in Texas | r=0.96 | 8yrs | No |
| Google searches for 'burn centers' | r=0.95 | 9yrs | No |
| Number of times 8 was a winning Mega Millions number | r=0.94 | 6yrs | No |
| Number of pirate attacks in Indonesia | r=0.92 | 8yrs | No |
| Google searches for 'how much wood can a woodchuck chuck' | r=0.87 | 9yrs | No |
| Points scored by the Carolina Panthers | r=0.87 | 9yrs | No |
| Popularity of the 'doge' meme | r=0.86 | 9yrs | No |
How 'hip and with it' 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.)