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Jet fuel used in Bangladesh correlates with...

VariableCorrelationYearsHas img?
How good SciShow Space YouTube video titles arer=0.948yrsYes!
Master's degrees awarded in Legal professions and studiesr=0.9110yrsNo
The number of physicists in Marylandr=0.8119yrsNo
The number of aircraft mechanics in Washingtonr=0.619yrsNo



Jet fuel used in Bangladesh also correlates with...

VariableCorrelationYearsSys. Score
Number of Lawyers in the United Statesr=0.9533yrs429
Italian-type cheese consumptionr=0.9727yrs426
Mozzarella cheese consumptionr=0.9727yrs426
Number of public school students in 12th grader=0.9632yrs425
Hispanic cheese consumptionr=0.9626yrs424
Number of households headed by single fathers in the United Statesr=0.9532yrs422
Inflation in the USr=0.9630yrs420
Number of Registered Vehicles in the USr=0.9532yrs420
Total Revenue of the NFL Teamsr=0.9620yrs410
The distance between Neptune and Uranusr=0.9342yrs399
Food spending in Delawarer=0.9724yrs394
Popularity of the first name Gwendolynr=0.9242yrs394
Intel Corporation's annual revenuer=0.9435yrs392
Gender pay gap in the U.S.r=0.9432yrs392
Food spending in Arkansasr=0.9624yrs392
Food spending in Georgiar=0.9624yrs392
Annual Revenue of Walt Disney Companyr=0.9431yrs391
The number of paralegals in Idahor=0.9718yrs391
Number of public school students in 11th grader=0.9332yrs390
The number of paralegals in Californiar=0.9618yrs390
The number of paralegals in Nebraskar=0.9618yrs390
Total Sales at Clothing and Accessories Storesr=0.9230yrs387
Popularity of the first name Kennedir=0.9233yrs386
Number of internet usersr=0.9324yrs382
GMO use in cottonr=0.9322yrs380
GMO use in cornr=0.922yrs379
Annual US household spending on telephone servicesr=0.9422yrs379
Annual US household spending on educationr=0.9421yrs378
Total NBA League Revenuer=0.9320yrs376
Google searches for 'highest paying jobs'r=0.9418yrs376
Realty Income's stock price (O)r=0.9320yrs376
Annual US household spending on rented dwellingsr=0.9222yrs376
Annual US household spending on healthcarer=0.9222yrs376
Annual US household spending on health insurancer=0.9222yrs376
US household spending on healthcarer=0.9222yrs376
US household spending on health insurancer=0.9222yrs376
Ticket prices at North American movie theatersr=0.921yrs375
Google searches for 'tummy ache'r=0.9318yrs375
Google searches for 'do i need to go to the doctor'r=0.9318yrs375
How trendy SmarterEveryDay YouTube video titles arer=0.9215yrs375
Annual US household spending on foodr=0.9122yrs374
Annual US household spending on medical suppliesr=0.9122yrs374
Global revenue generated by Adidasr=0.9416yrs373
Annual US household spending on fresh fruitsr=0.922yrs373
Yogurt consumptionr=0.9432yrs366
Food spending in Illinoisr=0.9624yrs362
The number of physical therapists in Alabamar=0.9619yrs359
Milk-fat consumptionr=0.9432yrs356
Food spending in Mississippir=0.9624yrs352
The number of industrial machinery mechanics in Californiar=0.9619yrs349
American cheese consumptionr=0.9132yrs342
Food spending in New Hampshirer=0.9624yrs342
The number of medical assistants in Mainer=0.9619yrs339
Food spending in New Jerseyr=0.9624yrs332
The number of dental hygienists in Missourir=0.9619yrs329
U.S. direct investment abroadr=0.9322yrs329
Natural cheese consumptionr=0.9527yrs326
US per-person consumption of bottled waterr=0.9323yrs323
Annual US household spending on fresh vegetablesr=0.922yrs323
Food spending in North Carolinar=0.9624yrs322
The number of electrical engineers in Ohior=0.9619yrs319
Total employee count at Continental AGr=0.9123yrs317
Food spending in North Dakotar=0.9624yrs312
Economic output of Washington metro arear=0.9321yrs311
The number of physician assistants in Oregonr=0.9619yrs309
US production of cheese (other than cottage cheese)r=0.9322yrs308
US Bottled Water Consumption per Personr=0.9323yrs304
Adidas Group's Global Net Salesr=0.9322yrs304
Food spending in Ohior=0.9624yrs302
The number of dietitians and nutritionists in Texasr=0.9619yrs299
US milk fat used to produce cheese (excluding cottage cheese)r=0.9322yrs298
Food spending in Oregonr=0.9624yrs292
The number of hotel desk clerks in Texasr=0.9619yrs289
US average dairy skim-solid content of cheese (other than cottage cheese)r=0.9522yrs288
Food spending in South Carolinar=0.9624yrs282
The number of customer service representatives in Wisconsinr=0.9619yrs279
US production of sour creamr=0.9222yrs276
Food spending in Tennesseer=0.9624yrs272
The number of occupational therapists in Arkansasr=0.9519yrs268
US milk fat used to produce sour creamr=0.9222yrs266
Food spending in Virginiar=0.9624yrs262
The number of registered nurses in Californiar=0.9618yrs258
US dairy skim solids used to produce cheese (other than cottage cheese)r=0.9322yrs256
Grocery store spend in Massachusettsr=0.9624yrs252
The number of medical assistants in Delawarer=0.9519yrs248
US average milk-fat content of cheese (other than cottage cheese)r=0.9422yrs246
Grocery store spend in New Hampshirer=0.9624yrs242
The number of flight attendants in Floridar=0.9717yrs238
US dairy skim solids used to produce sour creamr=0.9222yrs234
Grocery store spend in New Yorkr=0.9624yrs232
The number of registered nurses in Nevadar=0.9618yrs228
US production of butterr=0.922yrs223
Food spending in Floridar=0.9524yrs221
The number of social and human service assistants in New Jerseyr=0.9519yrs218
US milk fat used to produce butterr=0.922yrs213
Food spending in Kansasr=0.9524yrs211
The number of paralegals in Oregonr=0.9518yrs208
Portion of all US dairy skim-solids allocated to the production of cheese (other than cottage cheese)r=0.9122yrs203
Food spending in Kentuckyr=0.9524yrs201
The number of financial services sales agents in Texasr=0.9519yrs198
US dairy skim solids used to produce butterr=0.922yrs192


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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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