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Data source: Baseball-Reference.com
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Runs scored by the Kansas City Royals correlates with...

VariableCorrelationYearsSys. Score
Liquefied petroleum gas used in Central African Republicr=0.9614yrs402
Associates degrees awarded in Dental assistingr=0.8511yrs296
Total Runs Scored by Chicago Cubs Team in National League (Central and East Division)r=0.748yrs234
New York Yankees' victoriesr=0.6848yrs231
British Open Golf Championship winner's scorer=0.6648yrs228
US household spending on personal care products and servicesr=0.7523yrs206
Number of games won by Miami Marlins in the National League (East Division)r=0.6830yrs183
Google searches for 'where to buy toilet paper'r=-0.9720yrs180
US household spending on clothing for menr=0.7123yrs180
US household spending on clothingr=0.723yrs179
Google searches for 'n95 mask'r=-0.9519yrs176
US household spending on foodr=0.6823yrs176
US household spending on clothin for womenr=0.6723yrs174
Popularity of the first name Luzr=0.548yrs172
Popularity of the first name Keyshawnr=0.5540yrs172
US household spending on shoesr=0.6423yrs170
Google searches for 'how to cut own hair'r=-0.8520yrs168
Popularity of the first name Kiarrar=0.542yrs166
Total annual cinema attendance in the UKr=0.7222yrs161
US Hospital Occupancy Rater=0.7218yrs157
Gasoline pumped in Croatiar=0.6430yrs156
Petroluem consumption in United Kingdomr=0.5248yrs156
How nerdy Numberphile YouTube video titles arer=0.6713yrs156
How professional-sounding Vihart's YouTube video titles arer=0.6515yrs154
Miss World's Ager=0.4948yrs152
US household spending on alcoholic beveragesr=0.6223yrs152
US household spending on other household productsr=-0.7823yrs152
How cool Technology Connections YouTube video titles arer=0.679yrs152
US Employment Rater=0.5733yrs150
Visitors to SeaWorld Californiar=0.815yrs150
Detroit Tigers' number of lost games in a specific season of the American Leaguer=0.5348yrs148
Movie ticket sales in the U.S. and Canada by yearr=0.4943yrs148
US average milk-fat content of cottage cheeser=0.6222yrs148
The number of movies Kirsten Dunst appeared inr=0.4734yrs148
Brick cheese consumptionr=0.527yrs146
Annual US household spending on clothin for womenr=0.5823yrs146
Per capita consumption of margariner=0.6910yrs146
US average milk-fat content of frozen dairy productsr=0.622yrs145
US household spending on public transportationr=0.5623yrs143
Visitors to Disneylandr=0.7615yrs140
The marriage rate in Kansasr=0.7123yrs140
Air quality in Coffeyville, Kansasr=0.5220yrs137
Air quality in Coffeyville, Kansasr=0.5220yrs137
Global Per Capita Rice Consumptionr=0.5320yrs136
GMO use in cottonr=0.4923yrs136
The number of title examiners, abstractors, and searchers in Kansasr=0.6620yrs135
Popularity of the first name Madisenr=0.5237yrs134
GMO use in corn grown in Kansasr=0.4524yrs134
The number of movies Jonah Hill appeared inr=0.4720yrs134
Load Factor of US Carrier Flightsr=0.520yrs131
Physical album shipment volume in the United Statesr=0.624yrs130
US Tobacco Productionr=0.6123yrs130
Number of articles Matt Levine published on Bloomberg on Wednesdaysr=0.6310yrs130
The number of atmospheric and space scientists in Kansasr=-0.7820yrs129
UK Public Library Countr=0.6912yrs128
The distance between Saturn and Venusr=-0.4749yrs128
The number of salespeople in Kansasr=0.6120yrs128
Fossil fuel use in Czechiar=0.6229yrs124
How insightful Technology Connections YouTube video titles arer=0.679yrs122
Popularity of the first name Elvisr=0.4648yrs112
Petroluem consumption in Francer=0.548yrs112
Processed cheese consumptionr=0.4727yrs111
How professional-sounding Computerphile YouTube video titles arer=0.6411yrs109
Google searches for 'adopt a dog'r=-0.8120yrs104
Popularity of the first name Savanar=0.540yrs100
Fossil fuel use in Germanyr=0.5831yrs100
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.5722yrs100
The number of meter readers, utilities in Kansasr=0.6120yrs98
Ronaldo de Assis Moreira's Club Match Goal Tallyr=0.717yrs95
Annual US household spending on clothingr=0.5523yrs92
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milkr=0.5622yrs89
US household spending on tobacco products and smoking suppliesr=0.5523yrs87
How professional-sounding Technology Connections YouTube video titles arer=0.649yrs87
Petroluem consumption in Switzerlandr=0.4943yrs86
The number of database administrators in Kansasr=0.6118yrs86
Popularity of the first name Nauticar=0.5231yrs84
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.5522yrs78
Annual US household spending on clothing for menr=0.5323yrs78
US household spending on transportationr=0.5323yrs73
Popularity of the first name Alizer=0.4836yrs72
US household spending on booksr=0.5223yrs67
Geothermal power generated in Austriar=0.6817yrs66
How fun Computerphile YouTube video titles arer=0.5511yrs66
US average dairy skim-solid content of bulk evaporated and condensed milkr=0.5322yrs64
Popularity of the first name Daijahr=0.4933yrs61
US household spending on prescription drugsr=0.523yrs59
US household spending on fresh milk and creamr=0.4823yrs51
Popularity of the first name Caitlynnr=0.4538yrs50
Geothermal power generated in Thailandr=0.5232yrs48
US household spending on postage and stationeryr=0.4823yrs46
Hispanic cheese consumptionr=-0.6126yrs46
Popularity of the first name Jaylanr=0.4834yrs40
US household spending on processed fruitsr=0.4623yrs38
Kerosene used in Bangladeshr=0.4842yrs38
US household spending on laundry and cleaning suppliesr=0.4623yrs33
Popularity of the first name Dajahr=0.4932yrs30
Jet fuel used in Cubar=0.4742yrs27
Popularity of the first name Daijar=0.4537yrs19
Jet fuel used in Uzbekistanr=0.5430yrs16
Popularity of the first name Shaniahr=0.4733yrs8
Popularity of the first name Shemarr=0.4829yrs-4


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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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