Top variables that correlate with Arson in Colorado

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

Variable	Correlation	Years	Has img?
Popularity of the first name Sara	r=0.96	38yrs	No
Remaining Forest Cover in the Brazilian Amazon	r=0.93	36yrs	Yes!
Viewership count for Days of Our Lives	r=0.92	37yrs	No
Divorce rates in the United Kingdom	r=0.77	28yrs	No
Yogurt consumption	r=-0.9	32yrs	No

Arson in Colorado also correlates with...

Variable	Correlation	Years	Sys. Score
Popularity of the first name Lindsey	r=0.96	38yrs	426
Popularity of the first name Peter	r=0.96	38yrs	426
Popularity of the first name Alicia	r=0.96	38yrs	396
The distance between Neptune and the Sun	r=0.92	38yrs	394
The distance between Neptune and Earth	r=0.92	38yrs	394
The distance between Neptune and Mercury	r=0.92	38yrs	394
Air pollution in Steamboat Springs, Colorado	r=0.91	38yrs	394
Gasoline pumped in France	r=0.94	38yrs	394
Kerosene used in Egypt	r=0.94	37yrs	392
Kerosene used in Thailand	r=0.94	37yrs	392
Popularity of the first name Sandra	r=0.96	38yrs	386
Popularity of the first name Gina	r=0.96	38yrs	376
Popularity of the first name Tamara	r=0.96	38yrs	366
The distance between Neptune and the moon	r=0.92	38yrs	364
Kerosene used in Australia	r=0.92	38yrs	360
Popularity of the first name Billy	r=0.96	38yrs	356
Cottage cheese consumption	r=0.86	32yrs	354
Kerosene used in Cuba	r=0.91	37yrs	348
Popularity of the first name Dale	r=0.96	38yrs	346
Kerosene used in Pakistan	r=0.91	37yrs	338
Popularity of the first name Fred	r=0.96	38yrs	336
The number of production, planning, and expediting clerks in Colorado	r=0.86	20yrs	335
Kerosene used in Argentina	r=0.9	37yrs	326
Popularity of the first name Jodie	r=0.96	38yrs	326
How good LEMMiNO YouTube video titles are	r=0.91	11yrs	320
Popularity of the first name Robert	r=0.95	38yrs	315
Geothermal power generated in Austria	r=0.94	17yrs	306
Popularity of the first name Eric	r=0.95	38yrs	305
Popularity of the first name Nicole	r=0.95	38yrs	295
Average length of Extra History YouTube videos	r=0.89	11yrs	286
Popularity of the first name Richard	r=0.95	38yrs	285
Average length of LEMMiNO YouTube videos	r=0.87	11yrs	284
Kerosene used in Portugal	r=0.9	38yrs	278
Popularity of the first name Kelly	r=0.95	38yrs	275
Kerosene used in Norway	r=0.89	38yrs	266
Popularity of the first name Shawn	r=0.95	38yrs	265
Kerosene used in Brazil	r=0.89	37yrs	255
Popularity of the first name Kathleen	r=0.95	38yrs	255
Milk consumption	r=0.85	32yrs	250
Frozen yogurt consumption	r=0.84	32yrs	246
Popularity of the first name Patricia	r=0.95	38yrs	245
Gasoline pumped in Austria	r=0.88	38yrs	244
NASA's budget as a percentage of the total US Federal Budget	r=0.79	38yrs	244
Average length of Computerphile YouTube videos	r=0.87	10yrs	238
Popularity of the first name Katrina	r=0.95	38yrs	235
Gasoline pumped in Cuba	r=0.88	37yrs	234
Air quality in Fort Collins, Colorado	r=0.74	38yrs	233
Customer satisfaction with Verizon	r=0.79	28yrs	229
Customer satisfaction with Walmart	r=0.79	27yrs	228
Air quality in CaÃ‚Â¤on City, Colorado	r=0.72	34yrs	226
AIG's stock price (AIG)	r=0.82	21yrs	225
Kerosene used in North Korea	r=0.88	37yrs	224
Highest Nielsen rating for a TV show each year	r=0.69	36yrs	220
Kerosene used in Uruguay	r=0.88	37yrs	214
Average number of milk cows in the United States	r=0.77	38yrs	208
Kerosene used in Turkiye	r=0.87	38yrs	203
Air quality in CaÃ‚Â¤on City, Colorado	r=0.72	34yrs	196
Number of Lawyers in the United States	r=-0.93	34yrs	196
Sherbet consumption	r=0.75	32yrs	193
Gasoline pumped in Bulgaria	r=0.87	37yrs	192
US Hospital Occupancy Rate	r=0.82	18yrs	192
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion	r=-0.87	38yrs	192
USA Population	r=-0.92	38yrs	191
The number of postal service machine operators in Colorado	r=0.8	20yrs	191
Patents granted in the US	r=-0.86	36yrs	190
UFO sightings in Colorado	r=-0.84	37yrs	190
Google searches for 't-rex'	r=0.79	19yrs	190
Citigroup's stock price (C)	r=0.79	21yrs	190
The number of CEOs in Colorado	r=0.78	20yrs	190
Number of Las Vegas Hotel Room Check-Ins	r=-0.96	29yrs	189
US kids in public school	r=-0.92	33yrs	189
Lloyds Banking Group's stock price (LYG)	r=0.78	21yrs	189
Total number of automotive recalls	r=-0.87	38yrs	188
Customer satisfaction with Frontier Communications	r=0.72	28yrs	188
Number of public school students in 11th grade	r=-0.9	33yrs	187
Number of public school students in 12th grade	r=-0.9	33yrs	187
The distance between Neptune and Venus	r=0.7	38yrs	186
US Annual Tax Revenue	r=-0.88	37yrs	186
Patents granted in the US	r=-0.85	36yrs	186
Liquefied petroleum gas used in Denmark	r=0.86	38yrs	182
Ice cream consumption	r=0.74	32yrs	182
Processed cheese consumption	r=0.77	27yrs	171
Gasoline pumped in Belgium	r=0.85	38yrs	170
Kerosene used in Macau	r=0.86	37yrs	160
The number of property association managers in Colorado	r=0.79	20yrs	160
Air quality in Steamboat Springs, Colorado	r=-0.91	38yrs	153
The number of compensation and benefits managers in Colorado	r=0.78	19yrs	147
The distance between Uranus and Mercury	r=-0.91	38yrs	142
The distance between Uranus and Saturn	r=-0.9	38yrs	130
Average milk produced per cow in the US	r=-0.93	38yrs	125
The distance between Uranus and Earth	r=-0.87	38yrs	118
Canned whole evaporated and condensed milk consumption	r=0.69	32yrs	114
The distance between Uranus and the moon	r=-0.87	38yrs	108
Evaporated and condensed milk consumption	r=0.67	32yrs	101
The distance between Uranus and the Sun	r=-0.85	38yrs	96
US milk fat used to produce fluid beverage milk	r=0.77	22yrs	78

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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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