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Number of edits to the Wikipedia article for JP Morgan Chase correlates with...

VariableCorrelationYearsHas img?
The distance between Mars and the moonr=0.4821yrsNo
The distance between Mars and Earthr=0.4821yrsNo



Number of edits to the Wikipedia article for JP Morgan Chase also correlates with...

VariableCorrelationYearsSys. Score
Votes for Democratic Senators in Montanar=0.956yrs281
Votes for Republican Senators in Oregonr=0.926yrs276
Jet fuel used in Botswanar=0.8119yrs190
Popularity of the first name Madelynnr=0.7420yrs180
Popularity of the first name Marleyr=0.7320yrs179
Popularity of the first name Gradyr=0.6920yrs173
The number of optometrists in Mississippir=0.7720yrs168
The number of movies Joseph Gordon-Levitt appeared inr=0.6421yrs160
Air pollution in Deming, New Mexicor=0.6921yrs158
The number of movies Mila Kunis appeared inr=0.6320yrs158
Google searches for 'Barack Obama'r=0.6820yrs154
Petroluem consumption in Uruguayr=0.719yrs154
How clickbait-y 3Blue1Brown YouTube video titles arer=0.679yrs152
How good Computerphile YouTube video titles arer=0.6411yrs149
Nielsen Ranking of Smallville Season Finaler=0.819yrs148
Air quality in Kingston, New Yorkr=0.7910yrs148
The number of movies Zach Galifianakis appeared inr=0.5521yrs147
The number of correctional officers and jailers in West Virginiar=0.7916yrs146
Annual US household spending on gasoliner=0.620yrs146
Air quality in Kingston, New Yorkr=0.7810yrs146
New York Times Fiction Best Sellersr=0.7512yrs145
How provocative Matt Parker's YouTube video titles arer=0.5913yrs144
Popularity of the first name Sarair=0.6820yrs142
The number of zoologists in Utahr=0.7419yrs142
Popularity of the 'pork and beans' memer=0.6718yrs142
Bulk and canned skim evaporated and condensed milk consumptionr=0.5219yrs140
Annual US household spending on fresh milk and creamr=0.5620yrs140
Annual ATP Tour earnings of Rafael Nadalr=0.6820yrs138
Google searches for 'Tamagotchi'r=0.716yrs138
Gasoline pumped in Cyprusr=0.6919yrs137
Consumption of dry buttermilk productsr=0.4919yrs136
Imperial Oil's stock price (IMO)r=0.6921yrs136
Popularity of the 'what does the fox say' memer=0.6711yrs135
GMO use in cornr=0.4721yrs134
POSCO Holdings' stock price (PKX)r=0.6821yrs134
Total viewership of the Aviva Premiership Rugby finalr=0.7212yrs133
Portion of all US dairy skim-solids allocated to the production of sour creamr=0.5419yrs133
GMO use in soybeansr=0.4720yrs132
GMO use in soybeansr=0.4720yrs132
América Móvil's stock price (AMX)r=0.6721yrs132
xkcd comics published about cryptographyr=0.6217yrs132
Total value of all $100 bills printedr=0.4720yrs131
Google searches for 'Britney Spears'r=0.6416yrs130
The distance between Mercury and the Sunr=0.4821yrs130
Votes for Democratic Senators in Michiganr=0.846yrs130
Popularity of the first name Jazlynr=0.6820yrs116
The number of movies James Stewart appeared inr=0.5421yrs116
The number of colelge chemistry teachers in Californiar=0.7319yrs110
Air pollution in Deming, New Mexicor=0.6817yrs108
Popularity of the first name Leilar=0.6720yrs105
How 'hip and with it' Deep Look YouTube video titles arer=0.6210yrs105
The number of movies Tilda Swinton appeared inr=0.5321yrs104
Liquefied petroleum gas used in Montserratr=0.715yrs104
The number of police officers in Kansasr=0.7320yrs100
GMO use in soybeans in Indianar=0.5920yrs100
Air quality in Natchez, Mississippir=0.729yrs96
Popularity of the first name Dayanar=0.6720yrs95
How nerdy Technology Connections YouTube video titles arer=0.629yrs94
The number of movies Michael Cera appeared inr=0.5121yrs91
Kerosene used in Barbadosr=0.6519yrs91
The number of network systems administrators in Missourir=0.7418yrs90
GMO use in soybeans in Indianar=0.5920yrs90
Popularity of the first name Lilar=0.6720yrs85
Air pollution in Hermiston, Oregonr=0.6321yrs84
Liquefied petroleum gas used in Sao Tome and Principer=0.6519yrs81
How provocative 3Blue1Brown YouTube video titles arer=0.69yrs81
The number of welders in Oklahomar=0.7320yrs80
The number of movies Bradley Cooper appeared inr=0.4921yrs78
Popularity of the first name Brodyr=0.6620yrs74
Air pollution in Vernal, Utahr=0.6221yrs73
The number of social and human service assistants in Utahr=0.7320yrs70
Popularity of the first name Jacobyr=0.6620yrs64
The number of movies Seth Rogen appeared inr=0.4621yrs64
Air quality in Detroitr=0.5921yrs62
The number of welders in Wyomingr=0.7320yrs60
The number of movies Clint Eastwood appeared inr=0.4621yrs54
Popularity of the first name Marleer=0.6520yrs52
Air quality in Mobile, Alabamar=0.621yrs50
The number of aerospace engineers in District of Columbiar=0.7318yrs48
Popularity of the first name Aliviar=0.6520yrs42
Air pollution in Napa, Californiar=0.6119yrs40
The number of university communications teachers in District of Columbiar=0.7120yrs38
Popularity of the first name Palomar=0.6420yrs30
The number of commercial pilots in Georgiar=0.7120yrs28
Popularity of the first name Madilynr=0.6420yrs20
The number of architects in Massachusettsr=0.7120yrs18
Popularity of the first name Cooperr=0.6320yrs9
The number of agricultural inspectors in New Mexicor=0.7317yrs8
Popularity of the first name Madelynr=0.6220yrs-2
The number of zoologists in Oregonr=0.720yrs-2
Popularity of the first name Ryleer=0.6220yrs-12
The number of procurement clerks in Californiar=0.720yrs-14
Popularity of the first name Alonsor=0.6220yrs-22
The number of authors in Louisianar=0.6920yrs-24
Popularity of the first name Yaritzar=0.6220yrs-32
The number of public relations specialists in Indianar=0.6920yrs-36
Popularity of the first name Aidenr=0.6120yrs-44
The number of court and municipal clerks in Mainer=0.6920yrs-46
The number of welders in Nevadar=0.6920yrs-56


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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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