Top variables that correlate with Arson in Alaska

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Data source: FBI Criminal Justice Information Services
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Arson in Alaska correlates with...

Variable	Correlation	Years	Has img?
Kerosene used in Germany, West	r=0.89	6yrs	No
How clickbait-y OverSimplified YouTube video titles are	r=0.87	7yrs	Yes!
US average milk-fat content of cottage cheese	r=0.83	22yrs	No
US average milk-fat content of frozen dairy products	r=0.81	22yrs	No
Gasoline pumped in Uzbekistan	r=0.79	30yrs	Yes!
Ice cream consumption	r=0.78	32yrs	No
Milk consumption	r=0.78	32yrs	Yes!
Cigarette Smoking Rate for US adults	r=0.78	21yrs	No
Sherbet consumption	r=0.75	32yrs	No
U.S. intercountry adoptions	r=0.75	23yrs	No
Cottage cheese consumption	r=0.74	32yrs	No
Nuclear power generation in Germany	r=0.7	31yrs	No
Total value of all $1 bills printed	r=0.68	33yrs	No
Popularity of the first name Jenifer	r=0.68	38yrs	No
Popularity of the first name Jason	r=0.67	38yrs	No
Popularity of the first name Andrea	r=0.63	38yrs	No

Arson in Alaska also correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the first name Charity	r=0.71	38yrs	244
Kerosene used in Hong Kong	r=0.71	37yrs	223
Gasoline pumped in Latvia	r=0.75	31yrs	223
Popularity of the first name Jenny	r=0.67	38yrs	208
GMO use in cotton	r=0.74	23yrs	208
The distance between Neptune and the Sun	r=0.62	38yrs	204
The distance between Neptune and Earth	r=0.62	38yrs	204
The distance between Neptune and the moon	r=0.62	38yrs	204
Popularity of the first name Malorie	r=0.67	38yrs	198
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.81	22yrs	192
Number of public school students in 12th grade	r=-0.7	33yrs	187
Popularity of the first name Wendy	r=0.66	38yrs	186
Viewership count for Days of Our Lives	r=0.62	37yrs	186
US household spending on prescription drugs	r=0.72	23yrs	182
US household spending on clothin for women	r=0.7	23yrs	179
US household spending on clothing	r=0.69	23yrs	178
US household spending on transportation	r=0.69	23yrs	178
Kerosene used globally	r=0.67	37yrs	177
Popularity of the first name Cedric	r=0.66	38yrs	176
US household spending on mortgage interest and charges	r=0.68	23yrs	176
US household spending on vehicle insurance	r=0.68	23yrs	176
How provocative 3Blue1Brown YouTube video titles are	r=0.84	8yrs	176
GMO use in cotton	r=0.65	23yrs	174
US household spending on clothing for men	r=0.67	23yrs	174
US household spending on processed fruits	r=0.66	23yrs	173
US household spending on books	r=0.66	23yrs	173
The distance between Neptune and Mercury	r=0.61	38yrs	172
Number of households headed by single fathers in the United States	r=-0.78	32yrs	172
US birth rates of triplets or more	r=0.75	20yrs	171
Total value of all $5 bills printed	r=0.55	33yrs	171
Gender pay gap in the U.S.	r=-0.74	32yrs	170
Customer satisfaction with Whirlpool	r=0.72	28yrs	168
US Shoe Store Sales	r=-0.76	30yrs	167
Popularity of the first name Nakia	r=0.66	38yrs	166
Number of websites on the internet	r=-0.73	28yrs	166
Annual Revenue of Walt Disney Company	r=-0.7	32yrs	166
Number of Registered Vehicles in the US	r=-0.72	32yrs	165
How provocative OverSimplified YouTube video titles are	r=0.77	7yrs	164
Popularity of the first name Carla	r=0.65	38yrs	155
Geothermal power generated in Austria	r=0.81	17yrs	141
Frozen yogurt consumption	r=0.66	32yrs	140
How 'hip and with it' AsapSCIENCE YouTube video titles are	r=0.74	11yrs	134
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.79	22yrs	128
The distance between Neptune and Venus	r=0.52	38yrs	128
How clickbait-y 3Blue1Brown YouTube video titles are	r=0.75	8yrs	122
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.78	22yrs	117
Popularity of the first name Jenna	r=0.65	38yrs	115
U.S. direct investment abroad	r=-0.8	22yrs	114
Liquefied petroleum gas used in Greenland	r=0.74	22yrs	112
How insightful CGP Grey YouTube video titles are	r=0.7	12yrs	109
Inflation in the US	r=-0.71	31yrs	108
Popularity of the first name Joey	r=0.65	38yrs	105
Kerosene used in Norway	r=0.63	38yrs	102
US Hospital Occupancy Rate	r=0.75	18yrs	102
American cheese consumption	r=-0.76	32yrs	96
Popularity of the first name Kathy	r=0.65	38yrs	95
Gasoline pumped in Slovenia	r=0.68	31yrs	92
Physical album shipment volume in the United States	r=0.69	24yrs	88
Popularity of the first name Linsey	r=0.65	38yrs	85
Butter consumption	r=-0.73	32yrs	84
Petroluem consumption in Uzbekistan	r=0.68	30yrs	82
Popularity of the first name Jaime	r=0.64	38yrs	74
Yogurt consumption	r=-0.71	32yrs	72
Jet fuel used in American Samoa	r=0.62	37yrs	70
Popularity of the first name Mallory	r=0.64	38yrs	64
Milk-fat consumption	r=-0.71	32yrs	62
Petroluem consumption in Denmark	r=0.62	38yrs	60
Popularity of the first name Jermaine	r=0.64	38yrs	54
Gasoline pumped in Germany	r=0.66	32yrs	50
US production of cottage cheese	r=0.75	22yrs	46
Popularity of the first name Jayme	r=0.64	38yrs	44
Petroluem consumption in Germany	r=0.65	32yrs	39
US milk fat used to produce frozen dairy products	r=0.75	22yrs	36
Popularity of the first name Kimberly	r=0.63	38yrs	32
The number of Breweries in the United States	r=-0.68	33yrs	30
Liquefied petroleum gas used in Denmark	r=0.6	38yrs	28
US production of fluid beverage milk	r=0.74	22yrs	24
Popularity of the first name Erin	r=0.63	38yrs	22
Kerosene used in Romania	r=0.6	37yrs	16
US dairy skim solids used to produce cottage cheese	r=0.75	22yrs	14
Solar power generated in Spain	r=-0.8	32yrs	4
Brick cheese consumption	r=0.63	27yrs	0
Biomass power generated in Uruguay	r=-0.79	32yrs	-6
Jet fuel used in Guinea-Bissau	r=-0.77	37yrs	-16
Portion of all US dairy skim-solids allocated to the production of cottage cheese	r=0.66	22yrs	-21

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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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