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Data source: Pro-Football-Reference.com
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Points scored by the Detroit Lions correlates with...

VariableCorrelationYearsHas img?
How provocative OverSimplified YouTube video titles arer=0.927yrsNo
Annual US household spending on maintenance and repairsr=0.6923yrsNo
GMO use in soybeans in Michiganr=0.5723yrsNo
The number of movies Chris Evans appeared inr=0.5124yrsNo



Points scored by the Detroit Lions also correlates with...

VariableCorrelationYearsSys. Score
The number of movies Elizabeth Olsen appeared inr=0.6431yrs206
Popularity of the first name Dallasr=0.5648yrs202
Popularity of the first name Levir=0.5448yrs198
Popularity of the first name Coltonr=0.5348yrs197
Blue cheese consumptionr=0.6527yrs183
How trendy Computerphile YouTube video titles arer=0.8311yrs178
The number of movies Lily Collins appeared inr=0.6325yrs178
US household spending on fresh fruitsr=0.6723yrs174
Portion of all US dairy skim-solids allocated to the production of butterr=0.6622yrs169
Popularity of the first name Callier=0.5348yrs167
How cool 'Be Smart' science YouTube video titles arer=0.7411yrs164
Google searches for 'who is prince william'r=0.7416yrs161
Customer satisfaction with HPr=0.6728yrs161
GMO use in corn grown in Michiganr=0.6323yrs160
The number of pharmacists in Michiganr=0.7220yrs160
GMO use in corn grown in Michiganr=0.6224yrs159
Total number of live births in Australiar=0.5248yrs157
Yearly Total Gross Income of US Farmsr=0.6723yrs156
Global plane crashesr=0.5148yrs156
The number of chiropractors in Michiganr=0.6920yrs156
Wind power generated in Falkland Islandsr=0.6722yrs155
Hydopower energy generated in Sierra Leoner=0.6722yrs155
Formula One World Drivers' Champion's Point Marginr=0.548yrs154
GMO use in cornr=0.5924yrs154
Budget for largest movie productionr=0.4747yrs152
USA Populationr=0.4948yrs152
Muenster cheese consumptionr=0.5427yrs152
Annual US household spending on eggsr=0.6123yrs150
Annual US household spending on fresh fruitsr=0.6123yrs150
Jet fuel used in Cabo Verder=0.6622yrs150
Annual US household spending on cereals and bakery productsr=0.623yrs149
Annual US household spending on bakery productsr=0.623yrs149
Annual US household spending on fruits and vegetablesr=0.623yrs149
Annual US household spending on processed vegetablesr=0.623yrs149
Annual US household spending on electricityr=0.623yrs149
US household spending on fruits and vegetablesr=0.623yrs149
US Bottled Water Consumption per Personr=0.5124yrs142
Associates degrees awarded in Business and managementr=0.6211yrs142
Customer satisfaction with Sprintr=0.7517yrs142
Amount spent on Pet Gifts on Valentine's Day in the USr=0.719yrs138
Patents granted in the USr=0.4646yrs138
Popularity of the first name Kalir=0.5348yrs137
How fun Simone Giertz's YouTube video titles arer=0.7210yrs130
Popularity of the first name Reidr=0.5348yrs127
GMO use in cornr=0.5924yrs124
The number of movies Emma Watson appeared inr=0.5723yrs122
Petroluem consumption in Gabonr=0.5242yrs120
Portion of all US dairy skim-solids allocated to the production of yogurt, nonfrozenr=0.6222yrs118
Popularity of the first name Eliseor=0.5348yrs117
GMO use in soybeans in Michiganr=0.5723yrs110
Liquefied petroleum gas used in Saudi Arabiar=0.5142yrs108
Popularity of the first name Desmondr=0.5248yrs106
The number of movies Idris Elba appeared inr=0.528yrs106
US average milk-fat content of yogurt, nonfrozenr=0.5922yrs104
How geeky Numberphile YouTube video titles arer=0.5613yrs99
US household spending on processed vegetablesr=0.5923yrs98
Popularity of the first name Reedr=0.5248yrs96
The number of movies Ryan Gosling appeared inr=0.4928yrs95
US average dairy skim-solid content of cheese (other than cottage cheese)r=0.5822yrs92
Annual US household spending on telephone servicesr=0.5823yrs91
GMO use in cottonr=0.5823yrs89
How trendy Tom Scott's YouTube video titles arer=0.5415yrs88
Popularity of the first name Bronsonr=0.5248yrs86
US household spending on fresh vegetablesr=0.5823yrs86
US average dairy skim-solid content of fluid beverage milkr=0.5722yrs80
Annual US household spending on fresh vegetablesr=0.5723yrs79
Popularity of the first name Mikar=0.5248yrs76
GMO use in cottonr=0.5523yrs74
Annual US household spending on utilitiesr=0.5723yrs74
The number of movies Brie Larson appeared inr=0.523yrs72
Annual US household spending on medical servicesr=0.5723yrs69
US average dairy skim-solid content of bulk evaporated and condensed milkr=0.5522yrs68
Popularity of the first name Laner=0.5148yrs64
Annual US household spending on medical suppliesr=0.5723yrs64
US household spending on eggsr=0.5723yrs59
The number of movies Jessica Chastain appeared inr=0.520yrs58
US average milk-fat content of canned milk evaporated and condensed milkr=0.5422yrs56
Popularity of the first name Ceciliar=0.5148yrs54
US household spending on rented dwellingsr=0.5723yrs54
Annual US household spending on property taxesr=0.5623yrs48
Popularity of the first name Cullenr=0.5148yrs44
Annual US household spending on rented dwellingsr=0.5623yrs43
Annual US household spending on personal care products and servicesr=0.5623yrs38
Popularity of the first name Bor=0.5148yrs34
Annual US household spending on foodr=0.5423yrs30
Annual US household spending on dairy productsr=0.5423yrs25
Popularity of the first name Chaimr=0.5148yrs24
Annual US household spending on housingr=0.5423yrs20
Annual US household spending on healthcarer=0.5423yrs15
Popularity of the first name Maximilianor=0.5148yrs14
Annual US household spending on nonalcoholic beveragesr=0.5323yrs8
Popularity of the first name Darior=0.5148yrs4
Annual US household spending on gasoliner=0.5323yrs3
Annual US household spending on health insurancer=0.5323yrs-2
Popularity of the first name Cainr=0.5148yrs-6
US household spending on healthcarer=0.5323yrs-7
Popularity of the first name Brieller=0.5147yrs-17


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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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