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Number of edits to the Wikipedia article for Charles III correlates with...

VariableCorrelationYearsHas img?
Rain in Sydneyr=0.6821yrsNo



Number of edits to the Wikipedia article for Charles III also correlates with...

VariableCorrelationYearsSys. Score
The number of midwives in New Yorkr=0.9811yrs384
Liquefied petroleum gas used in Romaniar=0.9120yrs371
The number of nursing instructors and teachers in New Hampshirer=0.9220yrs354
Brad Pitt's net worthr=0.8921yrs342
GMO use in cotton in Tennesseer=0.8717yrs336
Greece's annual import volumer=0.8620yrs335
The number of urban planners in Oklahomar=0.8920yrs320
Total value of all $50 bills printedr=0.8812yrs304
Ticket sales for Chicago White Sox gamesr=0.8918yrs299
Petroluem consumption in Serbiar=0.8516yrs298
The number of human resources specialists in Puerto Ricor=0.9511yrs290
Fortinet's stock price (FTNT)r=0.8813yrs281
Votes for Democratic Senators in Nebraskar=0.937yrs279
The number of first-line supervisors of police and detectives in South Dakotar=0.9213yrs277
Votes for Libertarian Senators in Indianar=0.916yrs275
The number of power plant operators in South Carolinar=0.8817yrs265
Annual US household spending on prescription drugsr=0.8421yrs248
Votes for Democratic Senators in Nebraskar=0.897yrs243
Air pollution in Hilo, Hawaiir=0.8511yrs238
Air pollution in Ca¤on City, Colorador=0.8421yrs231
Air quality in Ca¤on City, Colorador=0.8421yrs231
Air quality in Ca¤on City, Colorador=0.8421yrs231
Votes for Democratic Senators in New Mexicor=0.897yrs213
Air pollution in Palm Bay, Floridar=0.866yrs209
Votes for Republican Senators in Indianar=0.896yrs202
Air pollution in Juneau, Alaskar=0.8319yrs198
How good Casually Explained YouTube video titles arer=-0.998yrs194
Liquefied petroleum gas used in United Statesr=0.821yrs190
The number of movies Russell Crowe appeared inr=0.7321yrs189
The number of movies Christian Bale appeared inr=0.7121yrs186
Annual US household spending on natural gasr=0.7321yrs182
Popularity of the first name Ismaelr=0.7321yrs180
How professional-sounding LEMMiNO YouTube video titles arer=0.8411yrs179
Popularity of the first name Tater=0.721yrs176
How provocative OverSimplified YouTube video titles arer=0.837yrs174
xkcd comics published about mathr=0.7816yrs170
Google searches for 'climate change'r=0.8115yrs169
Marvell Technology's stock price (MRVL)r=0.7821yrs169
Rolls-Royce annual production volumer=-0.8717yrs166
China's Rare Earth Element Export Volumer=0.8511yrs166
Google searches for 'Johnny Depp'r=0.7519yrs164
Annual U.S. inflation rater=0.7321yrs162
Grocery store spend in District of Columbiar=0.7519yrs161
Number of public school students in 10th grader=0.6621yrs159
Liquefied petroleum gas used in Netherlands Antillesr=0.7920yrs158
Swiss cheese consumptionr=0.6320yrs158
Food spending in District of Columbiar=0.7219yrs156
Tesla's stock price (TSLA)r=0.8412yrs155
Powerball lottery numbersr=0.8413yrs153
The number of movies Vin Diesel appeared inr=0.5921yrs153
The number of MRI technicians in District of Columbiar=0.911yrs152
Ticket sales for New York Yankees gamesr=0.8118yrs152
Annual US household spending on fresh milk and creamr=0.6221yrs150
The number of industrial truck and tractor operators in Alabamar=0.8420yrs147
Annual US household spending on gasoliner=0.621yrs147
Annual US household spending on processed fruitsr=0.5921yrs146
Jet fuel used in Kyrgyzstanr=0.7720yrs145
Popularity of the first name Xiomarar=0.5921yrs144
Number of Grand Slam Finals played by Roger Federerr=0.7413yrs142
Global iPod Salesr=0.779yrs142
The number of market research analysts in Mainer=0.8911yrs140
The number of ushers in Texasr=0.8320yrs137
How fun Casually Explained YouTube video titles arer=-0.988yrs133
The number of orderlies in Pennsylvaniar=0.8711yrs128
The number of pipelayers in Nebraskar=0.8320yrs126
How trendy Casually Explained YouTube video titles arer=-0.988yrs123
Kerosene used in North Korear=-0.8920yrs118
The number of personal financial advisors in Nevadar=0.8320yrs116
The number of firefighters in Iowar=0.8513yrs116
Popularity of the first name Darior=0.5921yrs114
NVIDIA's stock price (NVDA)r=0.7221yrs113
How 'hip and with it' Casually Explained YouTube video titles arer=-0.978yrs112
The number of layout workers, metal and plastic in Virginiar=0.8513yrs106
Gasoline pumped in North Korear=-0.8620yrs106
The number of log graders and scalers in Mainer=0.8319yrs104
Popularity of the first name Daliar=0.5821yrs102
Average views of MrBeast's YouTube videosr=0.7211yrs101
The number of nurse practitioners in Utahr=0.8611yrs96
Liquefied petroleum gas used in North Korear=-0.8520yrs94
Air pollution in Hilo, Hawaiir=0.811yrs90
How fun 'Be Smart' science YouTube video titles arer=0.7110yrs88
The number of event planners in Texasr=0.8511yrs84
Fossil fuel use in Guamr=0.7320yrs82
How good LEMMiNO YouTube video titles arer=0.6911yrs76
Fossil fuel use in Spainr=0.7220yrs70
How trendy Computerphile YouTube video titles arer=0.6910yrs66
Gasoline pumped in Serbiar=0.7616yrs60
Petroluem consumption in Syriar=0.7320yrs49
How clickbait-y MrBeast's YouTube video titles arer=0.6111yrs44
Biomass power generated in Sudanr=0.720yrs38
Average views of Steve Mould's YouTube videosr=0.5814yrs33
Gasoline pumped in American Samoar=0.7220yrs28
Petroluem consumption in Arubar=0.7220yrs18
Electricity generation in Greecer=0.6920yrs6
Jet fuel used in Kiribatir=0.7120yrs-4
The number of fiberglass laminators and fabricators in Minnesotar=0.8418yrs-5
Jet fuel used in Puerto Ricor=0.6920yrs-17
The number of forest conservation technicians in Missourir=0.8119yrs-18
Jet fuel used in Trinidad and Tobagor=0.6820yrs-28
Gasoline pumped in Kosovor=0.7714yrs-46


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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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