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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 3Blue1Brown YouTube video titles are correlates with...

VariableCorrelationYearsHas img?
Liquefied petroleum gas used in The Bahamasr=0.997yrsNo
Hot days in Berlinr=0.868yrsYes!
Cisco Systems' stock price (CSCO)r=0.549yrsNo



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

VariableCorrelationYearsSys. Score
Liquefied petroleum gas used in Icelandr=0.988yrs370
Gasoline pumped in Nigerr=0.957yrs329
The number of lifeguards and ski patrol in South Carolinar=0.948yrs295
The number of recreational therapists in Vermontr=0.936yrs276
The number of bailiffs in North Dakotar=0.96yrs274
Jet fuel used in Botswanar=0.937yrs266
Electricity generation in Zimbabwer=0.97yrs254
Popularity of the first name Codir=0.898yrs241
GMO use in cotton in Californiar=0.858yrs220
The number of file clerks in Nebraskar=0.898yrs212
Fossil fuel use in South Sudanr=0.877yrs210
The number of zoologists in Utahr=0.887yrs202
Petroluem consumption in Hondurasr=0.887yrs198
The number of septic tank servicers and sewer pipe cleaners in Idahor=0.878yrs191
Liquefied petroleum gas used in Botswanar=0.877yrs187
The number of payroll and timekeeping clerks in Michiganr=0.868yrs178
Customer satisfaction with Motorolar=0.827yrs168
The number of forensic science technicians in Connecticutr=0.877yrs168
Automotive recalls issued by Harley-Davidson Motor Companyr=0.758yrs161
The number of operations research analysts in New Mexicor=0.867yrs157
ArcelorMittal's stock price (MT)r=0.739yrs154
América Móvil's stock price (AMX)r=0.729yrs153
The number of college sociology teachers in New Yorkr=0.867yrs147
Academy Award Best Actress Winner's Ager=0.797yrs146
POSCO Holdings' stock price (PKX)r=0.679yrs146
The average age of batters for the Milwaukee Brewersr=0.819yrs145
Customer satisfaction with LinkedInr=0.697yrs138
The number of university economics teachers in North Dakotar=0.856yrs136
Australia's Per Capita GDPr=0.718yrs130
Number of times 16 was a winning Mega Millions numberr=0.69yrs128
Number of times 20 was a winning Mega Millions numberr=0.69yrs128
Google searches for 'velociraptor'r=0.689yrs128
Popularity of the first name Kader=0.838yrs127
Snowy days in Chicagor=0.818yrs127
Customer satisfaction with All Othersr=0.617yrs126
Freezing temperatures in Fort Worthr=0.88yrs126
The number of movies Brad Pitt appeared inr=0.769yrs126
Number of edits to the Wikipedia article for Arnold Schwarzeneggerr=0.588yrs126
Popularity of the first name Dariar=0.818yrs124
Number of times 23 was a winning Mega Millions numberr=0.579yrs123
Number of edits to the Wikipedia article for Elon Muskr=0.568yrs123
Associates degrees awarded in Military technologiesr=0.787yrs122
The number of movies Clint Eastwood appeared inr=0.739yrs122
The number of movies Florence Pugh appeared inr=0.739yrs122
US household spending on natural gasr=0.778yrs120
Number of edits to the Wikipedia article for Zagreusr=-0.918yrs120
Number of times 21 was a winning Mega Millions numberr=0.549yrs119
Mega millions lottery numbersr=0.578yrs119
Automotive recalls for issues with the Wheelsr=0.578yrs119
xkcd comics published about historyr=0.659yrs118
Violent crime ratesr=-0.868yrs118
Air pollution in Dallasr=0.859yrs118
HP Inc.'s stock price (HPQ)r=0.679yrs116
US household spending on transportationr=0.758yrs116
Popularity of the 'is this a butterfly' memer=0.629yrs116
Canadian Imperial Bank of Commerce's stock price (CM)r=0.669yrs92
Freezing temperatures in Austinr=0.778yrs91
Popularity of the first name Kalir=0.788yrs90
Budget for largest movie productionr=0.678yrs88
The Bank of Nova Scotia's stock price (BNS)r=0.649yrs81
Popularity of the first name Ulyssesr=0.788yrs80
Freezing temperatures in Albuquerquer=0.759yrs79
Solar power generated in Czechiar=0.857yrs72
Rogers Communications' stock price (RCI)r=0.649yrs71
Freezing temperatures in Dallasr=0.758yrs68
Corning's stock price (GLW)r=0.639yrs60
Renewable energy production in Zimbabwer=0.837yrs59
Freezing temperatures in New Yorkr=0.758yrs58
Hydopower energy generated in Zimbabwer=0.837yrs49
Brookfield's stock price (BN)r=0.619yrs46
Snowfall in Chicagor=0.738yrs45
Fossil fuel use in Greenlandr=0.817yrs36
Royal Bank of Canada's stock price (RY)r=0.599yrs34
Petroluem consumption in Zimbabwer=0.827yrs24
The number of court and municipal clerks in North Carolinar=0.858yrs22
The Toronto-Dominion Bank's stock price (TD)r=0.589yrs22
Jet fuel used in Burkina Fasor=0.817yrs13
Duke Energy's stock price (DUK)r=0.589yrs12
The number of industrial production managers in Arkansasr=0.848yrs10
Petroluem consumption in Solomon Islandsr=0.817yrs3
BCE Inc.'s stock price (BCE)r=0.599yrs2
The number of veterinarians in Georgiar=0.848yrs0
Ecopetrol's stock price (EC)r=0.589yrs-8
Wind power generated in Hondurasr=0.777yrs-10
The number of agricultural inspectors in Indianar=0.857yrs-10
The number of forensic science technicians in Marylandr=0.848yrs-20
Diageo's stock price (DEO)r=0.559yrs-22
Liquefied petroleum gas used in Greenlandr=0.767yrs-24
The number of psychiatric technicians in Mississippir=0.848yrs-30
Micron Technology's stock price (MU)r=0.559yrs-32
Liquefied petroleum gas used in Belgiumr=0.758yrs-35
The number of motorcycle mechanics in Mississippir=0.848yrs-40
Bank of Montreal's stock price (BMO)r=0.549yrs-44
The number of university economics teachers in Tennesseer=0.847yrs-50
Biomass power generated in Malaysiar=0.757yrs-53
Walmart's stock price (WMT)r=0.499yrs-56
The number of secretaries in Idahor=0.838yrs-60
Kerosene used in Chinar=0.757yrs-66


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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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