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 Technology Connections YouTube video titles are correlates with...
Variable | Correlation | Years | Has img? |
The marriage rate in Oregon | r=0.99 | 7yrs | No |
Number of times 9 was a winning Mega Millions number | r=0.98 | 6yrs | No |
The number of hairdressers, hairstylists, and cosmetologists in Connecticut | r=0.97 | 8yrs | No |
The marriage rate in Indiana | r=0.97 | 7yrs | No |
Number of games won by Detroit Red Wings in NHL season | r=0.96 | 8yrs | No |
Customer satisfaction with Apple | r=0.96 | 7yrs | No |
Golden State Warriors' Seasonal Total Wins | r=0.93 | 8yrs | No |
The divorce rate in Connecticut | r=0.92 | 7yrs | No |
Popularity of the first name Marian | r=0.88 | 8yrs | No |
Snowfall in New York | r=0.86 | 8yrs | No |
How insightful Technology Connections 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.)