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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 professional-sounding Simone Giertz's YouTube video titles are correlates with...

VariableCorrelationYearsHas img?
The number of rehabilitation counselors in Kentuckyr=0.968yrsYes!
xkcd comics published about nostalgiar=0.810yrsNo



How professional-sounding Simone Giertz's YouTube video titles are also correlates with...

VariableCorrelationYearsSys. Score
The number of massage therapists in Delawarer=0.966yrs311
The number of anthropology and archeology teachers in Virginiar=0.966yrs311
The number of college sociology teachers in New Yorkr=0.948yrs265
Air pollution in Muskogee, Oklahomar=0.946yrs261
Ticket sales for Philadelphia Phillies gamesr=0.886yrs260
Jet fuel used in Timor-Lester=0.878yrs258
Gasoline pumped in Timor-Lester=0.868yrs256
The number of insurance claims and policy processing clerks in Puerto Ricor=0.938yrs254
The number of movies Harvey Keitel appeared inr=0.8610yrs248
Rain in Chicagor=0.899yrs245
Popularity of the first name Laylar=0.99yrs244
Popularity of the first name Gracielar=0.899yrs242
The number of museum conservators in Alaskar=0.936yrs226
The number of legislators in Idahor=0.916yrs215
The number of sociologists in North Carolinar=0.96yrs202
The number of geoscientists in Pennsylvaniar=0.889yrs162
The number of boiler operators in South Dakotar=0.889yrs152
Miss America's ager=0.828yrs152
Global plane crashesr=0.849yrs151
Ticket sales for Milwaukee Brewers gamesr=0.836yrs148
Liquefied petroleum gas used in Finlandr=0.839yrs148
Ticket sales for Los Angeles Dodgers gamesr=0.826yrs146
Total Number of Gareth Bale's Club Football Matchesr=0.799yrs144
The number of security guards in Guamr=0.888yrs141
The number of movies Judy Garland appeared inr=0.8310yrs138
Google searches for 'how to build a bunker'r=-0.8910yrs136
Season wins for the Houston Texansr=0.7310yrs136
Customer satisfaction with Motorolar=0.668yrs134
Mega millions lottery numbersr=0.659yrs132
Snowfall in Milwaukeer=0.8310yrs132
The number of university communications teachers in District of Columbiar=0.879yrs130
Rain in New Yorkr=0.829yrs130
Mega millions lottery numbersr=0.629yrs128
The number of films in Sylvester Stallone's filmographyr=0.679yrs126
Automotive recalls issued by Hondar=0.579yrs125
Number of edits to the Wikipedia article for Dwayne Johnsonr=0.569yrs124
Asthma attacks in American childrenr=-0.976yrs124
Customer satisfaction with LinkedInr=0.598yrs124
Mega millions lottery numbersr=0.569yrs121
The number of dishwashers in Illinoisr=0.879yrs120
Popularity of the first name Elissar=0.779yrs119
Visitors to SeaWorld Californiar=0.538yrs118
Itaú Unibanco Holding's stock price (ITUB)r=0.5510yrs118
Jet fuel used in Russiar=0.848yrs118
Number of times 20 was a winning Mega Millions numberr=0.5210yrs117
The distance between Neptune and Mercuryr=0.7310yrs117
Asthma prevalence in American childrenr=-0.96yrs116
Number of edits to the Wikipedia article for George Washingtonr=0.510yrs116
Air pollution in Springfield, Ohior=0.8410yrs115
Automotive recalls for issues with Trailer Hitchesr=0.539yrs114
xkcd comics published about star warsr=0.6110yrs114
Air pollution in Anchorager=0.838yrs114
Rolls-Royce annual production volumer=0.658yrs113
Automotive recalls issued by Mack Trucksr=0.499yrs113
Asthma attacks in American childrenr=-0.866yrs112
Coterra Energy's stock price (CTRA)r=0.5110yrs112
Number of edits to the Wikipedia article for Tetrisr=0.4810yrs112
Number of edits to the Wikipedia article for Big Birdr=0.4710yrs111
Automotive recalls for issues with Exterior Lightingr=0.59yrs110
Automotive recalls for issues with Service Brakes, Airr=0.59yrs110
Google searches for 'where to buy crutches'r=0.6210yrs110
The number of dental laboratory technicians in Michiganr=0.879yrs110
Petroluem consumption in Timor-Lester=0.828yrs106
Wins for the Oakland Athleticsr=0.710yrs102
The number of university engineering teachers in Montanar=0.878yrs100
Rain in Detroitr=0.818yrs97
The number of movies Anjelica Huston appeared inr=0.7510yrs96
The number of photographers in Montanar=0.879yrs90
Jet fuel used in Egyptr=0.788yrs90
Ticket sales for New York Yankees gamesr=0.786yrs90
Popularity of the first name Nicolasr=0.759yrs86
Freezing temperatures in Chicagor=0.89yrs86
The number of movies Keira Knightley appeared inr=0.7410yrs84
The number of construction laborers in West Virginiar=0.879yrs80
Liquefied petroleum gas used in Switzerlandr=0.769yrs78
Rain in Bostonr=0.7810yrs74
Popularity of the first name Kelleyr=0.729yrs72
The number of dishwashers in Wyomingr=0.879yrs70
The number of movies Liv Tyler appeared inr=0.786yrs66
Electricity generation in United Statesr=0.748yrs66
Popularity of the first name Turnerr=0.729yrs62
The number of automotive service technicians and mechanics in Oregonr=0.869yrs59
Rain in Honolulur=0.7310yrs57
The number of movies Annette Bening appeared inr=0.6810yrs56
Kerosene used in Indonesiar=0.768yrs56
The number of elementary school teachers in Oklahomar=0.859yrs48
Petroluem consumption in Surinamer=0.768yrs46
Rain in Chicagor=0.719yrs43
Nuclear power generation in Switzerlandr=0.728yrs34
Rain in Bostonr=0.710yrs32
Petroluem consumption in Luxembourgr=0.749yrs24
Petroluem consumption in Turkmenistanr=0.748yrs14
Kerosene used in Egyptr=0.738yrs2
Liquefied petroleum gas used in The Bahamasr=0.738yrs-8
Jet fuel used in Azerbaijanr=0.728yrs-20
Kerosene used in Dominican Republicr=0.728yrs-30
Liquefied petroleum gas used in Francer=0.719yrs-40
Petroluem consumption in Indonesiar=0.728yrs-50
Petroluem consumption in New Caledoniar=0.718yrs-61


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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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