Top variables that correlate with Arson in Kentucky

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

Variable	Correlation	Years	Has img?
Total likes of Casually Explained YouTube videos	r=0.94	8yrs	No
Bachelor's degrees awarded in gender studies	r=0.87	10yrs	No
Popularity of the first name Clint	r=0.82	38yrs	Yes!
Kerosene used in Cuba	r=0.79	37yrs	Yes!
Popularity of the first name Randi	r=0.78	38yrs	No
The distance between Neptune and Earth	r=0.68	38yrs	No
USA Population	r=-0.67	38yrs	No
Average milk produced per cow in the US	r=-0.68	38yrs	No
The average number of likes on The Game Theorists YouTube videos	r=-0.93	14yrs	No

Arson in Kentucky also correlates with...

Variable	Correlation	Years	Sys. Score
Total comments on Casually Explained YouTube videos	r=0.93	8yrs	320
Total views on Casually Explained YouTube videos	r=0.92	8yrs	303
Jet fuel used in Kosovo	r=0.89	13yrs	301
Customer satisfaction with FOXNews.com	r=0.86	12yrs	278
Frozen yogurt consumption	r=0.79	32yrs	239
Popularity of the first name Brandi	r=0.81	38yrs	239
Popularity of the first name Tanisha	r=0.81	38yrs	239
The average number of likes on SciShow Space YouTube videos	r=0.86	9yrs	235
Kerosene used in Venezuela	r=0.78	37yrs	234
Average number of milk cows in the United States	r=0.7	38yrs	227
Viewership count for Days of Our Lives	r=0.69	37yrs	226
The distance between Neptune and Mercury	r=0.7	38yrs	226
The distance between Neptune and the moon	r=0.68	38yrs	222
Popularity of the first name Aimee	r=0.8	38yrs	208
Kerosene used in Belize	r=0.76	37yrs	200
Popularity of the first name Neil	r=0.8	38yrs	198
The distance between Neptune and the Sun	r=0.67	38yrs	191
Petroluem consumption in North Korea	r=0.76	37yrs	190
Remaining Forest Cover in the Brazilian Amazon	r=0.65	36yrs	190
Popularity of the first name Rikki	r=0.8	38yrs	188
Kerosene used in Argentina	r=0.75	37yrs	179
Popularity of the first name Felicia	r=0.79	38yrs	176
Number of public school students in 9th grade	r=-0.79	33yrs	176
Pirate attacks globally	r=0.83	14yrs	174
Number of public school students in 8th grade	r=-0.77	33yrs	174
Number of public school students in 6th grade	r=-0.76	33yrs	173
Kerosene used in Hong Kong	r=0.75	37yrs	169
Total number of automotive recalls	r=-0.68	38yrs	168
Popularity of the first name Johnnie	r=0.79	38yrs	166
The number of tax examiners and collectors, and revenue agents in Kentucky	r=0.81	13yrs	166
NASA's budget appropriation	r=0.57	38yrs	160
NASA's budget as a percentage of the total US Federal Budget	r=0.57	38yrs	160
Kerosene used in North Korea	r=0.75	37yrs	159
Popularity of the first name Brandie	r=0.79	38yrs	156
Highest Nielsen rating for a TV show each year	r=0.59	36yrs	156
Customer satisfaction with Walmart	r=0.61	27yrs	151
Associates degrees awarded in Business and management	r=0.81	11yrs	150
Kerosene used in Thailand	r=0.75	37yrs	149
Master's degrees awarded in Transportation	r=0.8	10yrs	149
The number of first-line retail sales supervisors in Kentucky	r=0.8	13yrs	149
Popularity of the 'gangnam style' meme	r=0.76	11yrs	148
Google searches for 'Gangnam Style'	r=0.79	11yrs	147
Popularity of the first name Jodie	r=0.79	38yrs	146
Number of public school students in 7th grade	r=-0.76	33yrs	143
Gasoline pumped in Cuba	r=0.74	37yrs	138
Popularity of the first name Dustin	r=0.78	38yrs	134
The distance between Uranus and Mercury	r=-0.74	38yrs	134
Evaporated and condensed milk consumption	r=0.62	32yrs	134
US kids in public school	r=-0.74	33yrs	131
Kerosene used in Australia	r=0.73	38yrs	127
Popularity of the first name Colleen	r=0.78	38yrs	124
The distance between Uranus and the Sun	r=-0.71	38yrs	122
Total views on minutephysics YouTube videos	r=0.82	12yrs	122
Number of public school students in 10th grade	r=-0.74	33yrs	121
Cottage cheese consumption	r=0.59	32yrs	119
Kerosene used in Turkiye	r=0.73	38yrs	117
Associates degrees awarded in Education	r=0.79	11yrs	117
The distance between Uranus and Earth	r=-0.72	38yrs	112
Number of highschoolers in the US	r=-0.73	33yrs	110
How geeky Tom Scott's YouTube video titles are	r=0.79	14yrs	110
Milk consumption	r=0.56	32yrs	106
Popularity of the first name Yvonne	r=0.78	38yrs	104
Jet fuel used in Afghanistan	r=0.72	37yrs	104
The distance between Uranus and the moon	r=-0.72	38yrs	102
Number of public school students in 5th grade	r=-0.7	33yrs	97
Consumption of dry whole milk products	r=0.57	32yrs	96
Popularity of the first name Lonnie	r=0.78	38yrs	94
Jet fuel used in Libya	r=0.72	37yrs	94
The distance between Uranus and Saturn	r=-0.72	38yrs	92
Popularity of the first name Connie	r=0.78	38yrs	84
Total comments on minutephysics YouTube videos	r=0.8	12yrs	84
Gasoline pumped in North Korea	r=0.71	37yrs	83
The distance between Uranus and Venus	r=-0.72	38yrs	82
Popularity of the first name Cori	r=0.78	38yrs	74
Total length of LockPickingLawyer YouTube videos	r=0.83	8yrs	74
Kerosene used in Uruguay	r=0.71	37yrs	73
Popularity of the first name Dominque	r=0.78	38yrs	64
Kerosene used in Italy	r=0.7	38yrs	62
How 'hip and with it' Matt Parker's YouTube video titles are	r=0.79	12yrs	62
Popularity of the first name Lloyd	r=0.78	38yrs	54
Kerosene used in Pakistan	r=0.7	37yrs	52
How nerdy 3Blue1Brown YouTube video titles are	r=0.81	8yrs	52
The distance between Saturn and Jupiter	r=0.52	38yrs	48
Popularity of the first name Kimberley	r=0.78	38yrs	44
Total length of Casually Explained YouTube videos	r=0.81	8yrs	42
Gasoline pumped in Austria	r=0.68	38yrs	40
Average views of Computerphile YouTube videos	r=0.8	10yrs	32
Kerosene used in Egypt	r=0.69	37yrs	30
Total views on CGP Grey YouTube videos	r=0.78	12yrs	21
How geeky 3Blue1Brown YouTube video titles are	r=0.8	8yrs	10
Total comments on CGP Grey YouTube videos	r=0.77	12yrs	0
How professional-sounding 3Blue1Brown YouTube video titles are	r=0.78	8yrs	-13

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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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