Top variables that correlate with The number of forging machine setters, operators, and tenders, metal and plastic in South Dakota

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Data source: Bureau of Larbor Statistics
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The number of forging machine setters, operators, and tenders, metal and plastic in South Dakota correlates with...

Variable	Correlation	Years	Sys. Score
How clickbait-y OverSimplified YouTube video titles are	r=0.95	6yrs	336
Google searches for 'Brexit'	r=0.92	6yrs	296
Popularity of the first name Courteney	r=0.88	6yrs	258
How provocative 3Blue1Brown YouTube video titles are	r=0.84	7yrs	155
Car crashes in the US	r=0.82	12yrs	148
Popularity of the first name Brittni	r=0.81	10yrs	146
Divorce rates in the United Kingdom	r=0.77	10yrs	143
How 'hip and with it' AsapSCIENCE YouTube video titles are	r=0.72	10yrs	140
Andy Roddick's ATP tournament wins	r=0.75	10yrs	136
Popularity of the first name Garrison	r=0.68	19yrs	136
US household spending on transportation	r=0.67	19yrs	136
The number of movies Christopher Walken appeared in	r=0.62	18yrs	134
The number of movies Judy Garland appeared in	r=0.6	19yrs	132
Hydopower energy generated in Tunisia	r=0.62	19yrs	130
Kerosene used in Dominican Republic	r=0.64	19yrs	130
The number of movies Harvey Keitel appeared in	r=0.56	19yrs	127
US Barley Production Volume	r=0.61	19yrs	126
US household spending on shoes	r=0.61	19yrs	126
Nuclear power generation in Sweden	r=0.6	19yrs	126
Number of passing touchdowns by Peyton Manning	r=0.65	11yrs	122
NASA's budget as a percentage of the total US Federal Budget	r=0.54	19yrs	122
Total annual sales of Ford Motors in the United States	r=0.59	19yrs	120
Miss America's age	r=0.54	18yrs	120
Google searches for 'how to immigrate to norway'	r=0.53	18yrs	120
Google searches for 'black hole photo'	r=0.59	13yrs	119
Carjackings in the US	r=0.5	19yrs	118
Viewership count for Days of Our Lives	r=0.51	19yrs	116
Maria Sharapova's WTA Title Count	r=0.56	15yrs	115
Value of the Victoria's Secret Annual Fantasy Bra	r=0.54	17yrs	114
GMO use in corn grown in South Dakota	r=0.49	19yrs	114
Mega millions lottery numbers	r=0.52	19yrs	113
US household spending on new cars	r=0.52	19yrs	113
Total number of batters faced by Joe Nathan	r=0.57	14yrs	112
Remaining Forest Cover in the Brazilian Amazon	r=0.47	19yrs	112
The distance between Jupiter and Earth	r=0.5	19yrs	112
The distance between Jupiter and the moon	r=0.5	19yrs	112
Per capita consumption of margarine	r=0.68	7yrs	112
Bachelor's degrees awarded in Liberal arts	r=0.61	10yrs	110
Master's degrees awarded in Social sciences and history	r=0.61	10yrs	110
The distance between Jupiter and Mercury	r=0.49	19yrs	110
Popularity of the 'slenderman' meme	r=0.55	13yrs	109
US Employment Rate	r=0.49	19yrs	108
How fun Deep Look YouTube video titles are	r=0.71	8yrs	106
US household spending on vehicle purchaes	r=0.47	19yrs	106
Physical album shipment volume in the United States	r=0.46	19yrs	104
Master's degrees awarded in Philosophy and religious studies	r=0.57	10yrs	104
US household spending on beef	r=0.46	19yrs	104
xkcd comics published about cryptography	r=0.51	15yrs	104
Popularity of the first name Coral	r=0.66	19yrs	102
Total length of Numberphile YouTube videos	r=0.68	11yrs	95
Popularity of the first name Anne	r=0.65	19yrs	91
Kerosene used in Netherlands	r=0.57	19yrs	89
The number of movies Catherine Zeta-Jones appeared in	r=0.52	15yrs	86
Google searches for 'Panama Canal'	r=0.53	18yrs	85
How insightful AsapSCIENCE YouTube video titles are	r=0.66	10yrs	81
Popularity of the first name Elissa	r=0.64	19yrs	80
Jet fuel used in Zambia	r=0.56	19yrs	78
The distance between Neptune and Jupiter	r=0.47	19yrs	77
Disney movies released	r=0.48	19yrs	74
Google searches for 'panama canal'	r=0.51	18yrs	72
Popularity of the first name Corrina	r=0.64	19yrs	70
How professional-sounding Simone Giertz's YouTube video titles are	r=0.7	8yrs	65
Kerosene used in Austria	r=0.54	19yrs	64
The number of movies Keira Knightley appeared in	r=0.47	19yrs	63
Popularity of the first name Judy	r=0.63	19yrs	58
How clickbait-y minutephysics YouTube video titles are	r=0.61	11yrs	54
Liquefied petroleum gas used in Libya	r=0.54	19yrs	54
The number of movies Alfre Woodard appeared in	r=0.47	19yrs	53
Popularity of the first name Toby	r=0.62	19yrs	46
Jet fuel used in Pakistan	r=0.54	19yrs	44
How cool Deep Look YouTube video titles are	r=0.68	8yrs	42
Popularity of the first name Brittanie	r=0.63	17yrs	36
Movie ticket sales in the U.S. and Canada by year	r=0.47	19yrs	36
Liquefied petroleum gas used in Portugal	r=0.54	19yrs	34
Popularity of the first name Galen	r=0.62	19yrs	26
Kerosene used in Syria	r=0.54	19yrs	24
How clickbait-y 3Blue1Brown YouTube video titles are	r=0.61	7yrs	20
Popularity of the first name Stanley	r=0.61	19yrs	15
Kerosene used in Philippines	r=0.53	19yrs	13
How clickbait-y Numberphile YouTube video titles are	r=0.57	11yrs	8
Popularity of the first name Eugene	r=0.61	19yrs	5
Kerosene used in Seychelles	r=0.53	19yrs	3
How professional-sounding AsapSCIENCE YouTube video titles are	r=0.57	10yrs	-3
Popularity of the first name Kim	r=0.61	19yrs	-5
Jet fuel used in U.S. Pacific Islands	r=0.53	19yrs	-7
How professional-sounding Deep Look YouTube video titles are	r=0.57	8yrs	-15
Popularity of the first name Philip	r=0.6	19yrs	-16
Liquefied petroleum gas used in United States	r=0.53	19yrs	-17
Popularity of the first name Leigh	r=0.6	19yrs	-26
Total views on Numberphile YouTube videos	r=0.54	11yrs	-26
Kerosene used in Portugal	r=0.52	19yrs	-28
Popularity of the first name Myesha	r=0.62	16yrs	-36
How trendy AsapSCIENCE YouTube video titles are	r=0.55	10yrs	-36
Jet fuel used in Albania	r=0.51	19yrs	-40
Popularity of the first name Hope	r=0.59	19yrs	-48
Kerosene used in Peru	r=0.51	19yrs	-50
Popularity of the first name Joanne	r=0.59	19yrs	-58
Kerosene used in Cuba	r=0.5	19yrs	-62
Popularity of the first name Guy	r=0.59	19yrs	-68
Gasoline pumped in Germany	r=0.5	19yrs	-72
Gasoline pumped in Luxembourg	r=0.5	19yrs	-82

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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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