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.
Report an error
How cool MrBeast's YouTube video titles are correlates with...
Variable | Correlation | Years | Has img? |
Hot days in Paris | r=0.99 | 6yrs | No |
The number of receptionists in Arizona | r=0.96 | 11yrs | Yes! |
Electricity generation in The Bahamas | r=0.95 | 10yrs | No |
Customer satisfaction with AT&T | r=0.93 | 10yrs | No |
The number of fire inspectors in Iowa | r=0.93 | 8yrs | No |
US GDP per capita | r=0.89 | 11yrs | No |
Points allowed by the Arizona Cardinals | r=0.85 | 12yrs | No |
Popularity of the 'is this a butterfly' meme | r=0.82 | 12yrs | No |
Google searches for 'how to immigrate to switzerland' | r=0.74 | 12yrs | No |
Customer satisfaction with YouTube | r=0.67 | 10yrs | No |
How cool MrBeast's YouTube video titles are also correlates with...
<< Back to discover a correlation
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.)