Top variables that correlate with The number of foresters in Colorado

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Data source: Bureau of Larbor Statistics
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The number of foresters in Colorado correlates with...

Variable	Correlation	Years	Sys. Score
How fun SciShow Space YouTube video titles are	r=0.88	9yrs	268
Average views of 3Blue1Brown YouTube videos	r=0.87	8yrs	266
US household spending on food	r=0.69	20yrs	154
The average number of likes on 3Blue1Brown YouTube videos	r=0.79	8yrs	148
The number of books by Stephen King published	r=0.74	12yrs	144
The number of movies John Boyega appeared in	r=0.67	12yrs	136
Ticket sales for Colorado Rockies games	r=0.67	17yrs	135
Bankruptcies in California	r=0.73	11yrs	134
Jet fuel used in Algeria	r=0.65	19yrs	131
Justin Verlander's season strikeout count	r=0.64	18yrs	130
Jet fuel used in Peru	r=0.64	19yrs	130
The number of movies Rooney Mara appeared in	r=0.59	18yrs	130
Google searches for 'best schools'	r=0.61	19yrs	128
Global sales revenue of elevators and escalators	r=0.74	7yrs	126
Customer satisfaction with FOXNews.com	r=0.64	12yrs	126
Jet fuel used in Kuwait	r=0.62	19yrs	126
Number of films featuring Tom Hanks	r=0.56	20yrs	125
Master's degrees awarded in Physical sciences	r=0.64	10yrs	125
Popularity of the 'friday friday friday' meme	r=0.56	17yrs	125
Google searches for 'movie theater showtimes'	r=0.58	19yrs	124
Popularity of the first name Camille	r=0.6	20yrs	124
Global revenue from elevator and escalator sales	r=0.74	7yrs	121
Air quality in Greeley, Colorado	r=0.54	20yrs	120
How geeky Deep Look YouTube video titles are	r=0.75	9yrs	114
Number of public school students in 5th grade	r=0.5	20yrs	114
Low-fat and nonfat ice cream products consumption	r=0.47	19yrs	113
Annual count of part-time employees in the United States	r=0.51	20yrs	112
Public Library Website Visits in the UK	r=0.64	8yrs	112
Number of edits to the Wikipedia article for Dunning Kruger effect	r=0.49	18yrs	112
Number of International Tourist Arrivals Worldwide	r=0.5	20yrs	111
Passenger traffic at Hartsfield-Jackson Atlanta International Airport	r=0.46	20yrs	111
US Biomass Energy Production	r=0.52	17yrs	111
US household spending on personal care products and services	r=0.5	20yrs	111
Google searches for 'download ringtones'	r=0.51	16yrs	110
Visitors to Disneyland	r=0.52	15yrs	109
Number of Las Vegas Hotel Room Check-Ins	r=0.59	11yrs	108
Number of public school students in 6th grade	r=0.46	20yrs	108
Air quality in Denver, Colorado	r=0.46	20yrs	108
Total revenue generated by the National Hockey League	r=0.49	17yrs	106
Rock N Roll Hall of Fame Inductee Count	r=0.53	12yrs	104
Bachelor's degrees awarded in Liberal arts	r=0.57	10yrs	104
Master's degrees awarded in consumer sciences	r=0.57	10yrs	104
Popularity of the first name Jayde	r=0.46	20yrs	104
Popularity of the first name Raina	r=0.46	20yrs	104
Number of edits to the Wikipedia article for Thomas Edison	r=-0.69	20yrs	104
Bloomberg Money Stuff articles about crypto	r=0.58	9yrs	102
Customer satisfaction with Whole Foods	r=0.51	14yrs	98
How clickbait-y minutephysics YouTube video titles are	r=0.68	12yrs	96
Liquefied petroleum gas used in Lesotho	r=0.62	19yrs	96
xkcd comics published about cryptography	r=0.45	16yrs	96
Visitors to Disney Worlds Magic Kingdom	r=0.47	15yrs	92
Total viewership of the Aviva Premiership Rugby final	r=0.5	12yrs	90
Air pollution in Pueblo, Colorado	r=0.47	9yrs	88
The number of movies Miranda Otto appeared in	r=0.49	20yrs	87
Average number of comments on 3Blue1Brown YouTube videos	r=0.71	8yrs	86
Liquefied petroleum gas used in North Korea	r=0.62	19yrs	86
Votes for Republican Senators in Colorado	r=-0.83	6yrs	86
Number of edits to the Wikipedia article for Pluto	r=-0.65	20yrs	86
Google searches for 'where to buy crutches'	r=0.48	18yrs	78
The number of movies Robert Pattinson appeared in	r=0.49	19yrs	76
How fun Vihart's YouTube video titles are	r=0.64	14yrs	72
Jet fuel used in Argentina	r=0.58	19yrs	70
Master's degrees awarded in Visual and performing arts	r=0.49	10yrs	62
Popularity of the first name Courteney	r=0.54	6yrs	62
Jet fuel used in Nigeria	r=0.58	19yrs	60
How fun MinuteEarth YouTube video titles are	r=0.64	10yrs	58
The number of films in Sylvester Stallone's filmography	r=0.47	20yrs	56
Google searches for 'how to make charts'	r=0.47	16yrs	54
Gasoline pumped in North Korea	r=0.58	19yrs	50
Total sales of commercial vehicles in China	r=0.6	7yrs	50
How nerdy Numberphile YouTube video titles are	r=0.61	12yrs	46
Associates degrees awarded in Engineering technologies	r=0.45	11yrs	46
New York Times Fiction Best Sellers	r=0.5	12yrs	43
The number of movies Tessa Thompson appeared in	r=0.48	17yrs	42
Kerosene used in North Korea	r=0.58	19yrs	40
Total length of minutephysics YouTube videos	r=0.61	12yrs	36
US imports of non-edible fishery product	r=0.47	17yrs	34
Jet fuel used in Tunisia	r=0.58	19yrs	30
Global shipwrecks	r=0.46	12yrs	28
Total views on Simone Giertz's YouTube videos	r=0.67	9yrs	22
Nielsen Ranking of Smallville Season Finale	r=0.5	9yrs	22
Jet fuel used in Latvia	r=0.56	20yrs	19
UK Music Album Sales	r=0.47	14yrs	15
How geeky minutephysics YouTube video titles are	r=0.58	12yrs	11
Jet fuel used in Switzerland	r=0.55	20yrs	7
Kerosene used in Zambia	r=0.54	19yrs	-6
How trendy 3Blue1Brown YouTube video titles are	r=0.63	8yrs	-6
Total likes of Deep Look YouTube videos	r=0.62	9yrs	-16
Biomass power generated in Zimbabwe	r=0.53	16yrs	-17
Jet fuel used in Guyana	r=0.53	19yrs	-27
Total views on 3Blue1Brown YouTube videos	r=0.62	8yrs	-27
Jet fuel used in Oman	r=0.53	19yrs	-37
Total likes of 3Blue1Brown YouTube videos	r=0.61	8yrs	-38
Jet fuel used in Saudi Arabia	r=0.53	19yrs	-47
The average number of likes on Deep Look YouTube videos	r=0.61	9yrs	-48
Jet fuel used in Finland	r=0.52	20yrs	-58
How geeky Technology Connections YouTube video titles are	r=0.59	8yrs	-62
Jet fuel used in Philippines	r=0.52	19yrs	-68
Total comments on Simone Giertz's YouTube videos	r=0.57	9yrs	-74
Jet fuel used in Portugal	r=0.51	20yrs	-79
Average number of comments on Deep Look YouTube videos	r=0.57	9yrs	-84

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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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