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Data source: AI analysis of YouTube video titles
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 nerdy Deep Look YouTube video titles are correlates with...

VariableCorrelationYearsHas img?
The number of travel agents in West Virginiar=0.96yrsYes!



How nerdy Deep Look YouTube video titles are also correlates with...

VariableCorrelationYearsSys. Score
Customer satisfaction with Motorolar=0.918yrs317
Fossil fuel use in Guatemalar=0.918yrs297
Petroluem consumption in Niuer=0.928yrs296
Petroluem consumption in Algeriar=0.98yrs292
The number of chefs and head cooks in Californiar=0.99yrs245
Rain in Phoenixr=0.889yrs244
Gasoline pumped in Niuer=0.858yrs225
Food spending in Nevadar=0.867yrs216
Customer satisfaction with YouTuber=0.828yrs168
Automotive recalls for issues with Trailer Hitchesr=0.779yrs160
Mega millions lottery numbersr=0.769yrs159
Global Permanent Nuclear Reactor Shutdownsr=0.859yrs157
Number of edits to the Wikipedia article for Dwayne Johnsonr=0.719yrs156
Automotive recalls for issues with Exterior Lightingr=0.739yrs154
Number of edits to the Wikipedia article for Arnold Schwarzeneggerr=0.79yrs154
Popularity of the 'drake' memer=0.7810yrs150
Automotive recalls issued by Chryslerr=0.669yrs138
The number of movies Natalie Portman appeared inr=0.8310yrs138
Tornados in Oklahomar=0.749yrs136
Number of edits to the Wikipedia article for Justin Trudeaur=0.649yrs136
The number of movies Benedict Wong appeared inr=0.8110yrs135
Google searches for 'Rachel and Ross'r=0.710yrs132
Number of times 20 was a winning Mega Millions numberr=0.6110yrs130
The number of preschool teachers in Virginiar=0.857yrs130
Customer satisfaction with LinkedInr=0.638yrs130
Automotive recalls for issues with Service Brakes, Airr=0.629yrs128
Hot days in Charlotter=0.819yrs128
Total number of automotive recallsr=0.69yrs126
Number of edits to the Wikipedia article for Dionysusr=0.579yrs125
Swiss cheese consumptionr=0.758yrs124
Automotive recalls for issues with Visibilityr=0.589yrs122
Visitors to Universal Orlando's Islands of Adventurer=0.558yrs121
Ticket sales for San Diego Padres gamesr=0.716yrs120
Popularity of the first name Bernardor=0.779yrs119
The number of movies Annette Bening appeared inr=0.710yrs118
Number of edits to the Wikipedia article for Big Birdr=0.5210yrs118
Associates degrees awarded in Military technologiesr=0.738yrs115
Automotive recalls issued by Porscher=0.59yrs114
Ticket sales for Los Angeles Dodgers gamesr=0.676yrs114
US dairy skim solids used to produce evaporated and condensed milkr=0.678yrs113
Texas Rangers' American League West Division finish positionr=0.659yrs112
Total Revenue of the NFL Teamsr=0.667yrs112
Google searches for 'black hole photo'r=0.6310yrs112
Popularity of the first name Lizar=0.729yrs112
Detroit Tigers' number of lost games in a specific season of the American Leaguer=0.639yrs110
Popularity of the first name Nakiar=0.719yrs110
Ticket sales for Houston Astros gamesr=0.646yrs110
Popularity of the 'florida man' memer=0.5810yrs110
Popularity of the 'we live in a society' memer=0.5810yrs110
Number of edits to the Wikipedia article for Thanksgivingr=0.479yrs110
Number of edits to the Wikipedia article for JP Morgan Chaser=0.4610yrs110
Petroluem consumption in Bulgariar=0.848yrs108
Rolls-Royce annual production volumer=0.628yrs108
Asthma attacks in American childrenr=-0.816yrs108
US Shoe Store Salesr=0.628yrs107
Petroluem consumption in Hondurasr=0.848yrs98
The number of dental assistants in Iowar=0.829yrs98
Snowfall in Milwaukeer=0.7510yrs90
The number of firefighters in Ohior=0.829yrs88
Electricity generation in Gibraltarr=0.818yrs87
The number of movies Adam Driver appeared inr=0.6810yrs86
Runs scored by the Boston Red Soxr=0.6110yrs79
Petroluem consumption in El Salvadorr=0.838yrs77
Rain in Phoenixr=0.739yrs76
The number of movies Alfre Woodard appeared inr=0.6710yrs74
The number of social workers in Michiganr=0.789yrs72
Wins for the Minnesota Twinsr=0.610yrs68
Gasoline pumped in Liberiar=0.828yrs66
Hot days in Berlinr=0.659yrs64
The number of middle school special education teachers in South Dakotar=0.789yrs62
The number of movies Chris "Ludacris" Bridges appeared inr=0.6510yrs61
Liquefied petroleum gas used in Mozambiquer=0.828yrs56
The number of judicial law clerks in Idahor=0.798yrs52
Rain in Las Vegasr=0.710yrs52
Age of the director who won the Best Picture awardr=0.599yrs50
Electricity generation in New Zealandr=0.788yrs42
The number of motorboat mechanics in Michiganr=0.789yrs42
Rain in Las Vegasr=0.6910yrs41
Jet fuel used in Botswanar=0.88yrs32
The number of physical therapists in New Jerseyr=0.779yrs30
Rain in Las Vegasr=0.6810yrs30
Fossil fuel use in South Sudanr=0.778yrs21
The number of epidemiologists in New Yorkr=0.778yrs20
Rain in San Diegor=0.679yrs17
The number of construction equipment operators in Virginiar=0.779yrs10
Electricity generation in Uruguayr=0.758yrs8
Petroluem consumption in Taiwanr=0.778yrs-2
The number of air traffic controllers in Nebraskar=0.758yrs-2
Petroluem consumption in French Polynesiar=0.768yrs-14
The number of roofers in New Yorkr=0.749yrs-14
Liquefied petroleum gas used in The Bahamasr=0.768yrs-24
The number of hotel desk clerks in North Carolinar=0.749yrs-24
Petroluem consumption in Nigerr=0.758yrs-35
The number of jewelers in Rhode Islandr=0.739yrs-36
Petroluem consumption in Tunisiar=0.758yrs-45
The number of purchasing managers in Massachusettsr=0.729yrs-47
Liquefied petroleum gas used in Vanuatur=0.758yrs-55
The number of pharmacy technicians in Massachusettsr=0.729yrs-57
The number of medical equipment repairers in Oklahomar=0.729yrs-67
The number of cardiovascular technicians in Delawarer=0.86yrs-78


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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.)
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