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Data source: Bureau of Larbor Statistics
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The number of middle school teachers in West Virginia correlates with...

VariableCorrelationYearsSys. Score
How trendy Technology Connections YouTube video titles arer=0.918yrs302
Torii Hunter's Hit Countr=0.856yrs252
Gasoline pumped in Iraqr=0.8312yrs166
Customer satisfaction with Sam's Clubr=0.8111yrs150
Google searches for 'Brexit'r=0.817yrs146
The average number of likes on Deep Look YouTube videosr=0.769yrs145
How geeky Deep Look YouTube video titles arer=0.769yrs145
Age of Miss Teen USAr=0.7213yrs143
Total number of batters faced by Joe Nathanr=0.827yrs143
Liquefied petroleum gas used in Iraqr=0.7612yrs140
Rain in Torontor=0.7411yrs140
Nuclear power generation in Brazilr=0.7212yrs138
The number of movies Gerard Butler appeared inr=0.6813yrs138
Frank Lampard's appearances for the England national teamr=0.787yrs137
Customer satisfaction with Costcor=0.7211yrs136
Customer satisfaction with HPr=0.712yrs134
xkcd comics published about cryptographyr=0.6613yrs134
The number of movies Michelle Pfeiffer appeared inr=0.6413yrs132
The number of films in Sylvester Stallone's filmographyr=0.6813yrs131
Number of times 20 was a winning Mega Millions numberr=0.6613yrs131
Popularity of the 'aint nobody got time for that' memer=0.5913yrs125
Customer satisfaction with Macy'sr=0.6411yrs124
Customer satisfaction with Acer computersr=0.6212yrs122
xkcd comics published about the internetr=0.5813yrs122
Patents granted to Microsoftr=0.6212yrs121
Customer satisfaction with Krogerr=0.6111yrs120
Rain in Torontor=0.6111yrs120
Popularity of the first name Marcelar=0.5913yrs116
How insightful 3Blue1Brown YouTube video titles arer=0.768yrs114
US average dairy skim-solid content of bulk evaporated and condensed milkr=0.5912yrs114
Patents granted to Hyundair=0.648yrs110
Biomass power generated in Zimbabwer=0.6912yrs103
Customer satisfaction with Rite Aidr=0.5611yrs103
Number of edits to the Wikipedia article for data dredgingr=0.5313yrs103
Total length of Casually Explained YouTube videosr=0.758yrs102
Customer satisfaction with The U.S. Postal Servicer=0.5512yrs102
Customer satisfaction with CVSr=0.5511yrs101
Global Commercial Vehicle Productionr=0.5512yrs100
Dried manure used for fertilizer in the USr=0.536yrs100
Customer satisfaction with Whole Foods r=0.5411yrs100
US household spending on medical servicesr=0.5413yrs100
Bachelor's degrees awarded in Liberal artsr=0.5310yrs98
Popularity of the first name Elissar=0.5413yrs98
Popularity of the 'bad luck brian' memer=0.4813yrs98
NYSE Composite Index Annual Percentage Changer=0.5213yrs97
The number of movies Christopher Walken appeared inr=0.6111yrs96
xkcd comics published about wikipediar=0.4713yrs96
Popularity of the 'overly attached girlfriend' memer=0.4613yrs96
UK Music Album Salesr=0.5112yrs94
Global plane crashesr=0.513yrs94
Master's degrees awarded in Educationr=0.510yrs94
Popularity of the first name Cruzr=0.5113yrs94
Average number of comments on Deep Look YouTube videosr=0.749yrs92
Cleansheets Achieved by Golden Glove Winners in the English Premier Leaguer=0.5613yrs86
The number of movies Susan Sarandon appeared inr=0.5913yrs85
Kerosene used in Czechiar=0.6413yrs84
Total comments on Deep Look YouTube videosr=0.729yrs79
Kerosene used in Dominican Republicr=0.6512yrs74
The number of movies Elizabeth Olsen appeared inr=0.5613yrs71
Popularity of the 'gangnam style' memer=0.4711yrs65
Average views of Deep Look YouTube videosr=0.699yrs64
Liquefied petroleum gas used in Kiribatir=0.6512yrs64
Popularity of the first name Laylar=0.5113yrs64
Score differential in Anglo-Welsh Cup finalr=0.539yrs54
Average number of comments on Simone Giertz's YouTube videosr=0.689yrs53
Hydopower energy generated in Fijir=0.6112yrs51
The number of movies Catherine Zeta-Jones appeared inr=0.588yrs48
Customer satisfaction with Targetr=0.5211yrs46
Petroluem consumption in Indonesiar=0.6212yrs40
The number of movies Matthew McConaughey appeared inr=0.5313yrs36
How insightful PBS Space Time YouTube video titles arer=0.78yrs35
Nuclear power generation in Swedenr=0.5912yrs28
How 'hip and with it' Technology Connections YouTube video titles arer=0.78yrs25
The number of movies Jude Law appeared inr=0.5213yrs24
Electricity generation in Czechiar=0.5812yrs16
How good 3Blue1Brown YouTube video titles arer=0.688yrs12
The number of movies Scarlett Johansson appeared inr=0.513yrs12
Jet fuel used in Ugandar=0.612yrs6
Average length of Casually Explained YouTube videosr=0.688yrs2
The number of movies Adam Driver appeared inr=0.513yrs2
Jet fuel used in Timor-Lester=0.5812yrs-6
The number of movies Lily Collins appeared inr=0.513yrs-8
Total comments on Simone Giertz's YouTube videosr=0.659yrs-12
The number of movies Anjelica Huston appeared inr=0.4913yrs-20
Total views on Deep Look YouTube videosr=0.639yrs-24
Hydopower energy generated in Thailandr=0.5612yrs-26
The number of movies Bill Nighy appeared inr=0.4813yrs-32
How professional-sounding SciShow Space YouTube video titles arer=0.629yrs-36
Jet fuel used in Albaniar=0.5712yrs-38
The number of movies Gemma Arterton appeared inr=0.4713yrs-43
How professional-sounding 3Blue1Brown YouTube video titles arer=0.638yrs-46
Jet fuel used in Togor=0.5712yrs-48
The number of movies Dakota Fanning appeared inr=0.4713yrs-53
Total likes of Deep Look YouTube videosr=0.629yrs-56
Biomass power generated in Malaysiar=0.5312yrs-61
The number of movies Judy Garland appeared inr=0.4613yrs-64
How fun Technology Connections YouTube video titles arer=0.628yrs-67
Fossil fuel use in Vanuatur=0.5312yrs-71
Total likes of Simone Giertz's YouTube videosr=0.619yrs-78
Biomass power generated in Angolar=0.558yrs-82
Electricity generation in Saint Helenar=0.5212yrs-92


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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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