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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 provocative Computerphile YouTube video titles are correlates with...

VariableCorrelationYearsHas img?
Kerosene used in Tanzaniar=0.199yrsYes!



How provocative Computerphile YouTube video titles are also correlates with...

VariableCorrelationYearsSys. Score
The number of registered nurses in Rhode Islandr=0.988yrs351
The number of maintenance and repair workers in Delawarer=0.9610yrs350
The number of costume attendants in Arizonar=0.959yrs348
Jet fuel used in Cubar=0.919yrs310
The number of electronics engineers in Arizonar=0.9410yrs287
Asthma prevalence in American childrenr=0.887yrs284
Asthma attacks in American childrenr=0.867yrs282
Fossil fuel use in Saint Luciar=0.889yrs264
Fossil fuel use in Sierra Leoner=0.889yrs264
The number of meter readers, utilities in Wyomingr=0.958yrs256
The number of database administrators in Alaskar=0.938yrs244
The number of graphic designers in Pennsylvaniar=0.9110yrs234
Fossil fuel use in Greecer=0.879yrs232
The number of network systems administrators in Texasr=0.938yrs224
Electricity generation in Saint Luciar=0.869yrs220
The number of optometrists in North Dakotar=0.910yrs212
The number of dental hygienists in Nebraskar=0.910yrs201
The number of university engineering teachers in Washingtonr=0.910yrs191
The number of computer network architects in North Dakotar=0.910yrs181
Asthma prevalence in American childrenr=0.847yrs174
Asthma attacks in American childrenr=0.837yrs172
The number of environmental science teachers in New Yorkr=0.99yrs170
Asthma attacks in American childrenr=0.827yrs170
Asthma attacks in American childrenr=0.797yrs166
Customer satisfaction with gas stationsr=0.88yrs166
Asthma attacks in American childrenr=0.777yrs163
Customer satisfaction with Walgreensr=0.778yrs161
UBS Group AG's stock price (UBS)r=0.7211yrs155
Ford Motor Company's stock price (F)r=0.7111yrs154
The average age of batters for the New York Metsr=0.8311yrs150
The number of database administrators in Floridar=0.928yrs147
The marriage rate in Missourir=0.819yrs146
The marriage rate in Kentuckyr=0.89yrs145
The marriage rate in Massachusettsr=0.89yrs145
Viewership of "The Big Bang Theory"r=0.767yrs142
General Electric's stock price (GE)r=0.6111yrs142
Total seasons Darren Fletcher played for Manchester Unitedr=0.777yrs138
Rainfall in San Franciscor=0.7510yrs138
Golden Boot Player's English Premier League Goal Tallyr=0.7410yrs137
Number of games won by Miami Marlins in the National League (East Division)r=0.7410yrs137
Motor vehicle thefts in Marylandr=0.8110yrs135
The number of university philosophy and religion teachers in Puerto Ricor=0.98yrs134
Asthma prevalence in American childrenr=0.647yrs134
The average age of batters for the Baltimore Oriolesr=0.7211yrs134
Popularity of the 'McKayla Maroney' memer=0.679yrs133
Customer satisfaction with TJ Maxxr=0.648yrs132
Number of registered Yamaha motorcycles in the UKr=0.719yrs132
Google searches for 'matt levine'r=0.6911yrs132
Asthma prevalence in American childrenr=0.627yrs130
Asthma prevalence in American childrenr=0.627yrs130
US imports of non-edible fishery productr=0.699yrs128
NBA Season MVP's Ager=0.6810yrs128
Wins for the Cleveland Guardiansr=0.6611yrs128
Customer satisfaction with Customer Shippingr=0.619yrs128
Number of times 1 was a winning Mega Millions numberr=0.68yrs127
Customer satisfaction with Dillard'sr=0.618yrs127
Customer satisfaction with Rite Aidr=0.618yrs127
Customer satisfaction with Krogerr=0.618yrs127
Google searches for 'Practical Engineering'r=0.6511yrs126
Popularity of the first name Brieannar=0.829yrs126
Customer satisfaction with Publixr=0.68yrs126
The marriage rate in Nebraskar=0.89yrs115
The number of cartographers in Marylandr=0.910yrs112
Lukas Podolski's domestic match goal countr=0.7310yrs106
The marriage rate in Ohior=0.89yrs105
The number of library technicians in Alaskar=0.8910yrs100
Kerosene used in Bruneir=0.849yrs100
The marriage rate in Texasr=0.89yrs95
Number of home runs hit by Matt Kempr=0.748yrs95
The number of ophthalmic laboratory technicians in Minnesotar=0.8910yrs90
Gasoline pumped in Puerto Ricor=0.849yrs90
The marriage rate in Wisconsinr=0.89yrs85
The number of OSHA specialists in South Dakotar=0.8910yrs80
Fossil fuel use in Germanyr=0.819yrs78
Asthma attacks in American childrenr=0.597yrs76
The marriage rate in Michiganr=0.799yrs74
Wind power generated in Seychellesr=0.819yrs68
The number of jewelers in Ohior=0.8710yrs66
The marriage rate in New Hampshirer=0.799yrs64
Kerosene used in Kenyar=0.839yrs58
The marriage rate in Indianar=0.789yrs52
Gasoline pumped in Slovakiar=0.8210yrs48
The marriage rate in Tennesseer=0.789yrs42
Electricity generation in Germanyr=0.89yrs36
The marriage rate in Kansasr=0.779yrs30
Liquefied petroleum gas used in Croatiar=0.829yrs26
The marriage rate in North Carolinar=0.779yrs20
Liquefied petroleum gas used in South Africar=0.829yrs16
The marriage rate in Connecticutr=0.769yrs9
Electricity generation in Bermudar=0.799yrs5
The marriage rate in Rhode Islandr=0.769yrs-1
Fossil fuel use in Bermudar=0.799yrs-5
The marriage rate in Virginiar=0.769yrs-11
Biomass power generated in Burundir=0.799yrs-15
The divorce rate in Missourir=0.759yrs-21
Kerosene used in Tongar=0.819yrs-25
The divorce rate in Washingtonr=0.759yrs-31
Renewable energy production in Congo-Brazzaviller=0.789yrs-36
The marriage rate in Arizonar=0.759yrs-42
Hydopower energy generated in Congo-Brazzaviller=0.789yrs-46
The marriage rate in Pennsylvaniar=0.759yrs-52


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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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