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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 insightful 3Blue1Brown YouTube video titles are correlates with...

VariableCorrelationYearsHas img?
Biomass power generated in Madagascarr=0.997yrsYes!



How insightful 3Blue1Brown YouTube video titles are also correlates with...

VariableCorrelationYearsSys. Score
Solar power generated in Arubar=0.997yrs373
Solar power generated in Kiribatir=0.997yrs373
Customer satisfaction with Walmartr=0.986yrs370
Customer satisfaction with CVSr=0.966yrs352
Global Commercial Vehicle Productionr=0.977yrs348
The number of payroll and timekeeping clerks in Delawarer=0.978yrs330
Electricity generation in Australiar=0.987yrs322
The number of paralegals in South Carolinar=0.976yrs314
Customer satisfaction with Macy'sr=0.96yrs314
Fossil fuel use in Guinea-Bissaur=0.987yrs312
The number of registered nurses in Colorador=0.976yrs312
Electricity generation in Guinea-Bissaur=0.977yrs300
Patents granted to Intelr=0.918yrs296
Kerosene used in Guinear=0.977yrs287
McDonald's American Customer Satisfaction Index Scorer=0.888yrs284
Customer satisfaction with American Airlinesr=0.97yrs284
Customer satisfaction with Vonager=0.897yrs283
Customer satisfaction with Sam's Clubr=0.886yrs280
Liquefied petroleum gas used in Iraqr=0.977yrs277
Popularity of the first name Lukasr=0.928yrs276
Popularity of the first name Breonar=0.936yrs275
Air pollution in San Juan, Puerto Ricor=0.99yrs273
Hotdogs consumed by Nathan's Hot Dog Eating Competition Championr=0.898yrs268
Petroluem consumption in Sudanr=0.967yrs266
The number of sociologists in Californiar=0.948yrs265
Worldwide Count of Nokia Employeesr=0.98yrs264
Season wins for the Tennessee Titansr=0.899yrs264
The number of furniture finishers in Californiar=0.948yrs255
Motor vehicle thefts in Kentuckyr=0.898yrs250
The number of university biological science teachers in Indianar=0.948yrs245
Popularity of the first name Akeemr=0.98yrs242
Master's degrees awarded in Precision productionr=0.857yrs238
The number of brickmasons in North Dakotar=0.938yrs234
Air quality in Houstonr=0.99yrs231
Air quality in Lexington, Kentuckyr=0.879yrs224
Biomass power generated in Angolar=0.947yrs210
The number of university political science teachers in Oregonr=0.957yrs210
Popularity of the first name Greysonr=0.888yrs210
Biomass power generated in Iranr=0.947yrs200
The number of psychiatric technicians in Wisconsinr=0.947yrs199
Air quality in Parkersburg, West Virginiar=0.879yrs194
Wind power generated in Mauritiusr=0.947yrs190
The number of registered nurses in Illinoisr=0.946yrs188
Solar power generated in Philippinesr=0.937yrs179
The number of respiratory therapists in Oregonr=0.928yrs177
Customer satisfaction with Sprintr=0.856yrs171
Customer satisfaction with Kohl'sr=0.846yrs170
Customer satisfaction with Whole Foods r=0.846yrs170
Customer satisfaction with T-Mobiler=0.847yrs170
Gasoline pumped in Beninr=0.947yrs168
The number of labor relations specialists in Minnesotar=0.928yrs167
Violent crime ratesr=0.748yrs162
Liquefied petroleum gas used in Libyar=0.947yrs158
The number of brickmasons in Floridar=0.918yrs156
Number of edits to the Wikipedia article for Goldman Sachsr=0.719yrs156
Automotive recalls issued by Keystone RV Companyr=0.718yrs155
Number of edits to the Wikipedia article for begging the questionr=0.699yrs153
xkcd comics published about the internetr=0.819yrs152
Percentage of Americans with social media profilesr=0.847yrs150
Google searches for 'smol'r=0.829yrs150
Liquefied petroleum gas used in Samoar=0.947yrs148
Instructor salaries in the USr=0.727yrs148
The number of electrical engineers in Minnesotar=0.918yrs146
Royal Caribbean Cruises' stock price (RCL)r=0.679yrs146
Points allowed by the New York Jetsr=0.789yrs142
Wins for the Oakland Athleticsr=0.769yrs140
xkcd comics published about social mediar=0.729yrs139
Points allowed by the Cincinnati Bengalsr=0.759yrs138
xkcd comics published about timer=0.719yrs138
The number of movies Gemma Arterton appeared inr=0.849yrs138
Patents granted to Amazonr=0.768yrs138
Fossil fuel use in Sudanr=0.917yrs136
The number of financial services sales agents in New Mexicor=0.918yrs136
Patents granted to Microsoftr=0.748yrs135
Banco Santander (Brasil)'s stock price (Brasil)r=0.669yrs134
Google searches for 'same day shipping'r=0.79yrs132
Google searches for 'harry potter'r=0.79yrs132
Verizon Communications' stock price (VZ)r=0.659yrs132
The distance between Saturn and Mercuryr=0.849yrs132
Number of edits to the Wikipedia article for Big Birdr=0.629yrs132
Hydopower energy generated in Syriar=0.917yrs126
The number of ticket agents in New Mexicor=0.927yrs126
Customer satisfaction with Acer computersr=0.827yrs118
The number of paralegals in Hawaiir=0.916yrs115
Fossil fuel use in Vanuatur=0.97yrs114
Customer satisfaction with Verizonr=0.817yrs111
Petroluem consumption in Nepalr=0.927yrs104
The number of civil engineers in Floridar=0.98yrs104
Customer satisfaction with HPr=0.797yrs103
Season wins for the New Orleans Saintsr=0.729yrs103
Google searches for 'how to immigrate to canada'r=0.69yrs101
Customer satisfaction with Southwest Airlinesr=0.787yrs97
The number of postal service clerks in Minnesotar=0.98yrs94
Points scored by the New Orleans Saintsr=0.729yrs93
Customer satisfaction with The U.S. Postal Servicer=0.777yrs90
Customer satisfaction with United Airlinesr=0.767yrs83
Customer satisfaction with Rite Aidr=0.766yrs68
The number of probation officers in Mississippir=0.98yrs56
Customer satisfaction with AT&Tr=0.687yrs51
Customer satisfaction with Targetr=0.656yrs41


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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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