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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 Vihart's YouTube video titles are correlates with...

VariableCorrelationYearsHas img?
Air pollution in New Orleans, Louisianar=0.956yrsNo
The marriage rate in New Hampshirer=0.8213yrsYes!



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

VariableCorrelationYearsSys. Score
The number of lifeguards and ski patrol in Oklahomar=0.8814yrs282
The number of special education teachers in Vermontr=0.911yrs262
Wins for the Colorado Rockiesr=0.8315yrs172
The marriage rate in Vermontr=0.8213yrs167
Number of Miss World delegatesr=0.8113yrs166
The marriage rate in Arizonar=0.813yrs164
Petroluem consumption in Germanyr=0.814yrs164
Runs scored by the Detroit Tigersr=0.7615yrs162
Petroluem consumption in Swedenr=0.7914yrs162
PG&E's stock price (PCG)r=0.7315yrs160
The average age of batters for the Baltimore Oriolesr=0.7715yrs160
Banco Bilbao Vizcaya Argentaria's stock price (BBVA)r=0.715yrs156
Banco Santander's stock price (SAN)r=0.6815yrs153
Visitors to Disneylandr=0.6813yrs151
Customer satisfaction with Walgreensr=0.6712yrs150
Number of edits to the Wikipedia article for Slippery sloper=0.6315yrs150
Visitors to Disney Worlds Magic Kingdomr=0.6613yrs148
The number of opticians in Massachusettsr=0.8214yrs148
Number of games won by Miami Marlins in the National League (East Division)r=0.7714yrs146
Google searches for 'how to fake your own death'r=0.5815yrs146
Kerosene used in French Polynesiar=0.7913yrs146
Number of edits to the Wikipedia article for Barbra Streisandr=0.615yrs146
Visitors to SeaWorld Californiar=0.613yrs144
Number of edits to the Wikipedia article for Alexander Hamiltonr=0.5914yrs143
Popularity of the first name Delaneyr=0.7914yrs142
Popularity of the first name Denar=0.7914yrs142
Season wins for the New England Patriotsr=0.7315yrs140
Number of edits to the Wikipedia article for Deloitter=0.5615yrs140
NASA's budget as a percentage of the total US Federal Budgetr=0.6815yrs139
British Open Golf Championship winner's scorer=0.7214yrs138
Annual count of part-time employees in the United Statesr=0.7114yrs136
Number of edits to the Wikipedia article for correlationr=0.5415yrs136
The marriage rate in Connecticutr=0.813yrs134
Google searches for 'shook'r=0.6815yrs134
Number of edits to the Wikipedia article for Goldman Sachsr=0.5215yrs134
Points scored by the New York Jetsr=0.6815yrs133
Total annual cinema attendance in the UKr=0.6814yrs132
Google searches for 'download ringtones'r=0.6615yrs132
US Highway Vehicle Gasoline Consumptionr=0.8112yrs130
Deutsche Bank Aktiengesellschaft's stock price (DB)r=0.6415yrs117
The number of bartenders in Marylandr=0.814yrs116
Liquefied petroleum gas used in Liberiar=0.7913yrs116
Wins for the Boston Red Soxr=0.7315yrs112
The divorce rate in New Jerseyr=0.7913yrs109
HSBC Holdings' stock price (HSBC)r=0.6315yrs106
The number of hairdressers, hairstylists, and cosmetologists in West Virginiar=0.8114yrs106
Gasoline pumped in Somaliar=0.7813yrs104
Google searches for 'panama canal'r=0.6515yrs100
Wins for the Los Angeles Angelsr=0.715yrs98
The number of salespeople in Wisconsinr=0.8114yrs96
The marriage rate in Kentuckyr=0.7813yrs96
Liquefied petroleum gas used in Central African Republicr=0.7713yrs93
Telefónica's stock price (TEF)r=0.6115yrs92
Runs scored by the Colorado Rockiesr=0.715yrs88
The number of firefighters in Washingtonr=0.8113yrs86
The marriage rate in Hawaiir=0.7713yrs84
Gasoline pumped in Western Saharar=0.7713yrs83
Runs scored by the Miami Marlinsr=0.6915yrs76
The number of electric motor repairers in Arkansasr=0.814yrs75
The divorce rate in Connecticutr=0.7613yrs74
Jet fuel used in Western Saharar=0.7713yrs73
POSCO Holdings' stock price (PKX)r=0.5315yrs70
Runs scored by the Oakland Athleticsr=0.6915yrs66
The number of salespeople in Delawarer=0.814yrs65
The marriage rate in Californiar=0.7613yrs63
Kerosene used in Western Saharar=0.7713yrs63
Barclays' stock price (BCS)r=0.5315yrs60
The number of janitors and cleaners in Hawaiir=0.814yrs55
The marriage rate in Massachusettsr=0.7613yrs53
Petroluem consumption in Austriar=0.7514yrs51
Wins for the Kansas City Royalsr=0.6515yrs50
The number of advertising sales agents in New Hampshirer=0.814yrs45
The divorce rate in Rhode Islandr=0.7513yrs43
Petroluem consumption in Belgiumr=0.7414yrs40
Runs scored by the Kansas City Royalsr=0.6515yrs40
The number of art directors in Ohior=0.814yrs35
The marriage rate in Illinoisr=0.7413yrs30
Petroluem consumption in Francer=0.7414yrs30
The number of couriers and messengers in Kentuckyr=0.7914yrs24
The marriage rate in Michiganr=0.7413yrs20
Petroluem consumption in Argentinar=0.7413yrs18
The number of lifeguards and ski patrol in West Virginiar=0.7914yrs14
The marriage rate in Ohior=0.7413yrs10
Gasoline pumped in Cyprusr=0.7413yrs8
The number of executive administrative assistants in Nevadar=0.813yrs4
The marriage rate in Alaskar=0.7313yrs-2
Gasoline pumped in Netherlands Antillesr=0.7413yrs-2
The number of tire repairers and changers in North Dakotar=0.7814yrs-8
The marriage rate in Louisianar=0.7313yrs-12
Petroluem consumption in United Kingdomr=0.7314yrs-12
The marriage rate in North Carolinar=0.7313yrs-22
Jet fuel used in Turkmenistanr=0.7313yrs-23
The number of agricultural inspectors in Mississippir=0.8112yrs-30
The marriage rate in Virginiar=0.7313yrs-32
Gasoline pumped in Australiar=0.7214yrs-34
The marriage rate in New Jerseyr=0.7213yrs-43
Petroluem consumption in Taiwanr=0.7213yrs-44
The marriage rate in Missourir=0.7113yrs-54
Gasoline pumped in Austriar=0.7114yrs-55


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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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