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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 fun Casually Explained YouTube video titles are correlates with...

VariableCorrelationYearsHas img?
Customer satisfaction with Walmartr=0.966yrsNo
Popularity of the first name Reginar=-0.728yrsYes!
Google searches for 'Johnny Depp'r=-0.999yrsNo



How fun Casually Explained YouTube video titles are also correlates with...

VariableCorrelationYearsSys. Score
Fossil fuel use in Vanuatur=0.997yrs373
Global Commercial Vehicle Productionr=0.997yrs372
Global count of operating nuclear power plantsr=0.988yrs371
Gasoline pumped in Saint Helenar=0.987yrs368
Liquefied petroleum gas used in Samoar=0.987yrs368
GMO use in cotton in Mississippir=0.998yrs366
Air quality in Harrison, Arkansasr=0.999yrs366
Customer satisfaction with Kohl'sr=0.976yrs354
Customer satisfaction with CVSr=0.956yrs351
The number of university political science teachers in Oregonr=0.977yrs328
The number of machinists in Nebraskar=0.958yrs326
The number of boiler operators in Nebraskar=0.958yrs326
Customer satisfaction with Sam's Clubr=0.956yrs321
Solar power generated in Arubar=0.977yrs320
Number of Walmart stores worldwider=0.948yrs318
Customer satisfaction with Whole Foods r=0.936yrs318
Patents granted to International Business Machinesr=0.958yrs316
Customer satisfaction with American Airlinesr=0.97yrs314
Solar power generated in Kiribatir=0.977yrs310
Biomass power generated in Madagascarr=0.977yrs300
Popularity of the first name Jacklynr=0.938yrs292
Popularity of the first name Alizar=0.938yrs292
Biomass power generated in Iranr=0.967yrs288
Customer satisfaction with Macy'sr=0.96yrs284
Customer satisfaction with Rite Aidr=0.886yrs280
Kerosene used in Guinear=0.987yrs278
Customer satisfaction with Sprintr=0.866yrs278
Air quality in New Castle, Pennsylvaniar=0.938yrs276
Popularity of the first name Ishmaelr=0.98yrs272
The number of bailiffs in New Yorkr=0.958yrs268
Liquefied petroleum gas used in Palestinian Territoriesr=0.977yrs267
Rain in Torontor=0.876yrs259
Patents granted to Hewlett Packardr=0.868yrs258
Petroluem consumption in Bermudar=0.967yrs256
The number of legislators in Connecticutr=0.948yrs256
Motor vehicle thefts in South Carolinar=0.888yrs248
Kerosene used in Djiboutir=0.967yrs246
The number of correctional officers and jailers in Tennesseer=0.958yrs246
Popularity of the first name Breonar=0.96yrs240
Master's degrees awarded in Precision productionr=0.867yrs240
US household spending on laundry and cleaning suppliesr=0.868yrs238
Liquefied petroleum gas used in Iraqr=0.967yrs236
The number of postal service mail carriers in Minnesotar=0.948yrs235
Kerosene used in Kuwaitr=0.967yrs226
The number of court and municipal clerks in Alaskar=0.938yrs224
Air pollution in New Haven, Connecticutr=0.879yrs224
Food spending in Delawarer=0.886yrs218
Petroluem consumption in Palestinian Territoriesr=0.967yrs216
The number of janitors and cleaners in Delawarer=0.938yrs214
Kerosene used in Saint Kitts and Nevisr=0.967yrs206
The number of office clerks in North Carolinar=0.938yrs204
Popularity of the first name Leilar=0.878yrs198
Petroluem consumption in Sudanr=0.957yrs194
The number of blender tenders in Wisconsinr=0.938yrs194
Air quality in Los Alamos, New Mexicor=0.868yrs191
The number of farm equipment mechanics in Colorador=0.938yrs184
Fossil fuel use in Guinea-Bissaur=0.957yrs172
Brad Pitt's net worthr=-18yrs170
Customer satisfaction with HPr=0.847yrs170
Greece's annual import volumer=-0.998yrs168
Automotive recalls issued by Hondar=0.788yrs166
Number of edits to the Wikipedia article for Charles IIIr=-0.988yrs162
The number of psychiatric technicians in Wisconsinr=0.937yrs158
Automotive recalls for issues with the Air Bagsr=0.758yrs156
The number of movies Gregory Peck appeared inr=-0.998yrs156
Number of times a donut appears in a Garfield comic stripr=-0.998yrs152
The number of CEOs in Virgin Islandsr=0.927yrs148
Percentage of Americans with social media profilesr=0.827yrs148
Age of US Open Tennis Champions (Men's Singles)r=0.848yrs148
Number of Scooby Doo direct-to-video films releasedr=0.778yrs146
UK Music Album Salesr=0.787yrs140
Number of edits to the Wikipedia article for begging the questionr=0.669yrs138
The number of bill collectors in Idahor=0.918yrs137
Muenster cheese consumptionr=0.837yrs135
Wipro's stock price (WIT)r=-0.949yrs134
Instructor salaries in the USr=0.617yrs132
Patents granted to General Electricr=0.728yrs132
Electricity generation in Guinea-Bissaur=0.947yrs130
The number of microbiologists in Minnesotar=0.918yrs127
Biomass power generated in Angolar=0.937yrs119
Customer satisfaction with Southwest Airlinesr=0.827yrs118
The number of MRI technicians in Tennesseer=0.928yrs117
Customer satisfaction with Vonager=0.827yrs113
Electricity generation in Australiar=0.937yrs109
The number of fiberglass laminators and fabricators in Californiar=0.918yrs106
Customer satisfaction with Verizonr=0.817yrs106
Customer satisfaction with T-Mobiler=0.787yrs97
The number of highway maintenance workers in North Dakotar=0.918yrs96
Air pollution in Farmington, New Mexicor=-0.998yrs91
The number of conveyor operators in Pennsylvaniar=0.918yrs86
Customer satisfaction with Costcor=0.86yrs84
Customer satisfaction with Acer computersr=0.757yrs72
Customer satisfaction with Targetr=0.756yrs66
Customer satisfaction with Krogerr=0.756yrs61
Customer satisfaction with JCPenneyr=0.76yrs48
Customer satisfaction with Walgreensr=0.696yrs42
Customer satisfaction with TJ Maxxr=0.686yrs36
Customer satisfaction with United Airlinesr=0.657yrs27
Customer satisfaction with The U.S. Postal Servicer=0.657yrs22


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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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