Top variables that correlate with Jet fuel used in French Polynesia

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Data source: Energy Information Administration
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Jet fuel used in French Polynesia correlates with...

Variable	Correlation	Years	Has img?
The number of detectives and criminal investigators in West Virginia	r=0.95	19yrs	No
Google searches for 'how to do magic'	r=0.92	18yrs	No
Arson in Illinois	r=0.89	37yrs	Yes!

Jet fuel used in French Polynesia also correlates with...

Variable	Correlation	Years	Sys. Score
The number of tax examiners and collectors, and revenue agents in Kansas	r=0.96	12yrs	382
Arson in New York	r=0.91	37yrs	377
Popularity of the first name Ashley	r=0.89	42yrs	360
Popularity of the first name Ashely	r=0.89	42yrs	360
The divorce rate in Arkansas	r=0.93	23yrs	360
The divorce rate in Colorado	r=0.93	23yrs	360
Popularity of the first name Cory	r=0.88	42yrs	358
The number of telemarketers in Washington	r=0.94	19yrs	358
The marriage rate in North Dakota	r=0.92	23yrs	357
Burglaries in New York	r=0.89	37yrs	344
US production of fluid beverage milk	r=0.89	22yrs	342
Cigarette Smoking Rate for US adults	r=0.87	21yrs	338
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.88	22yrs	338
US household spending on fresh milk and cream	r=0.87	22yrs	338
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.87	22yrs	336
Air pollution in Bend, Oregon	r=0.88	34yrs	335
Patents granted to Toshiba	r=0.92	11yrs	335
The wind speed in San Diego	r=0.86	38yrs	334
Popularity of the first name Felicia	r=0.88	42yrs	328
The divorce rate in West Virginia	r=0.91	23yrs	327
The number of bill collectors in Oregon	r=0.92	19yrs	324
Popularity of the first name Pierre	r=0.88	42yrs	318
The marriage rate in Alaska	r=0.9	23yrs	314
The number of bill collectors in Alabama	r=0.91	19yrs	313
Burglaries in Texas	r=0.88	37yrs	312
Popularity of the first name Felisha	r=0.89	40yrs	308
Popularity of the 'whip nae nae' meme	r=0.95	7yrs	308
The number of bill collectors in California	r=0.91	19yrs	303
United States' Fruit Juice Export Volume	r=0.89	13yrs	302
Robberies in New York	r=0.88	37yrs	302
United States music album sales	r=0.86	15yrs	300
How provocative Technology Connections YouTube video titles are	r=0.9	7yrs	299
Popularity of the first name Whitney	r=0.87	42yrs	297
The number of bill collectors in Connecticut	r=0.91	19yrs	293
Burglaries in California	r=0.87	37yrs	291
Popularity of the first name Krystal	r=0.87	42yrs	287
The number of file clerks in Connecticut	r=0.92	19yrs	283
Burglaries in Connecticut	r=0.87	37yrs	281
Popularity of the first name Lacey	r=0.87	42yrs	277
The divorce rate in Idaho	r=0.9	23yrs	276
The number of human resources assistants in Indiana	r=0.92	19yrs	273
Motor vehicle thefts in Rhode Island	r=0.87	37yrs	271
Popularity of the first name Ashlie	r=0.87	42yrs	267
The divorce rate in Maine	r=0.9	23yrs	266
The number of procurement clerks in Kansas	r=0.92	19yrs	263
Burglaries in Rhode Island	r=0.86	37yrs	260
Popularity of the first name Hillary	r=0.87	42yrs	257
The divorce rate in Michigan	r=0.9	23yrs	256
The number of college computer science teachers in Kentucky	r=0.92	19yrs	253
Motor vehicle thefts in Massachusetts	r=0.86	37yrs	250
Popularity of the first name Jarvis	r=0.87	42yrs	247
The divorce rate in Wisconsin	r=0.9	23yrs	246
The number of chemical engineers in Maine	r=0.92	19yrs	243
Motor vehicle thefts in New York	r=0.85	37yrs	238
Remaining Forest Cover in the Brazilian Amazon	r=0.77	35yrs	238
Popularity of the first name Jaimie	r=0.87	42yrs	237
Viewership count for Days of Our Lives	r=0.71	42yrs	234
The divorce rate in Florida	r=0.89	23yrs	234
The number of kindergarten teachers in Massachusetts	r=0.92	19yrs	233
US birth rates of triplets or more	r=0.82	20yrs	232
US household spending on clothin for women	r=0.84	22yrs	229
The distance between Neptune and Mercury	r=0.69	42yrs	228
US household spending on clothing	r=0.83	22yrs	228
Popularity of the first name Danielle	r=0.86	42yrs	226
The divorce rate in Illinois	r=0.89	23yrs	224
The number of switchboard operators in Mississippi	r=0.92	19yrs	223
Burglaries in Puerto Rico	r=0.9	23yrs	222
Popularity of the first name Terence	r=0.86	42yrs	216
Evaporated and condensed milk consumption	r=0.83	32yrs	215
The divorce rate in Virginia	r=0.89	23yrs	214
The number of payroll and timekeeping clerks in Mississippi	r=0.92	19yrs	213
Robberies in Puerto Rico	r=0.87	23yrs	207
Popularity of the first name Alisha	r=0.85	42yrs	204
The number of electronics engineers in Wisconsin	r=0.92	19yrs	203
The divorce rate in Kansas	r=0.88	23yrs	202
Popularity of the first name Jaclyn	r=0.85	42yrs	194
Brick cheese consumption	r=0.78	27yrs	192
The number of human resources assistants in Alabama	r=0.91	19yrs	192
The divorce rate in Nebraska	r=0.88	23yrs	192
Popularity of the first name Mayra	r=0.85	42yrs	184
The number of meter readers, utilities in California	r=0.91	19yrs	182
The divorce rate in Texas	r=0.88	23yrs	182
Popularity of the first name Darryl	r=0.85	42yrs	174
The number of bill collectors in Hawaii	r=0.9	19yrs	172
The marriage rate in Louisiana	r=0.88	23yrs	171
The number of switchboard operators in Minnesota	r=0.91	19yrs	162
The divorce rate in Arizona	r=0.87	23yrs	161
The divorce rate in Delaware	r=0.87	23yrs	151
The divorce rate in Ohio	r=0.87	23yrs	141
The divorce rate in Vermont	r=0.87	23yrs	131
Burglary rates in the US	r=0.83	37yrs	120
Arson in United States	r=0.78	37yrs	102
Robberies in the US	r=0.77	37yrs	91
Burglaries in Colorado	r=0.85	37yrs	73
Motor vehicle thefts in Texas	r=0.85	37yrs	63
Popularity of the first name Ross	r=0.85	42yrs	59
Motor vehicle thefts in Texas	r=0.85	37yrs	53
Motor vehicle thefts in Texas	r=0.85	37yrs	43

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^{What is Sys. Score?} 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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