Top variables that correlate with Number of edits to the Wikipedia article for Charles III

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

Variable	Correlation	Years	Sys. Score
The number of midwives in New York	r=0.98	11yrs	384
Liquefied petroleum gas used in Romania	r=0.91	20yrs	371
The number of nursing instructors and teachers in New Hampshire	r=0.92	20yrs	354
Brad Pitt's net worth	r=0.89	21yrs	342
GMO use in cotton in Tennessee	r=0.87	17yrs	336
Greece's annual import volume	r=0.86	20yrs	335
The number of urban planners in Oklahoma	r=0.89	20yrs	320
Total value of all $50 bills printed	r=0.88	12yrs	304
Ticket sales for Chicago White Sox games	r=0.89	18yrs	299
Petroluem consumption in Serbia	r=0.85	16yrs	298
The number of human resources specialists in Puerto Rico	r=0.95	11yrs	290
Fortinet's stock price (FTNT)	r=0.88	13yrs	281
Votes for Democratic Senators in Nebraska	r=0.93	7yrs	279
The number of first-line supervisors of police and detectives in South Dakota	r=0.92	13yrs	277
Votes for Libertarian Senators in Indiana	r=0.91	6yrs	275
The number of power plant operators in South Carolina	r=0.88	17yrs	265
Annual US household spending on prescription drugs	r=0.84	21yrs	248
Votes for Democratic Senators in Nebraska	r=0.89	7yrs	243
Air pollution in Hilo, Hawaii	r=0.85	11yrs	238
Air pollution in CaÃ‚Â¤on City, Colorado	r=0.84	21yrs	231
Air quality in CaÃ‚Â¤on City, Colorado	r=0.84	21yrs	231
Air quality in CaÃ‚Â¤on City, Colorado	r=0.84	21yrs	231
Votes for Democratic Senators in New Mexico	r=0.89	7yrs	213
Air pollution in Palm Bay, Florida	r=0.86	6yrs	209
Votes for Republican Senators in Indiana	r=0.89	6yrs	202
Air pollution in Juneau, Alaska	r=0.83	19yrs	198
How good Casually Explained YouTube video titles are	r=-0.99	8yrs	194
Liquefied petroleum gas used in United States	r=0.8	21yrs	190
The number of movies Russell Crowe appeared in	r=0.73	21yrs	189
The number of movies Christian Bale appeared in	r=0.71	21yrs	186
Annual US household spending on natural gas	r=0.73	21yrs	182
Popularity of the first name Ismael	r=0.73	21yrs	180
How professional-sounding LEMMiNO YouTube video titles are	r=0.84	11yrs	179
Popularity of the first name Tate	r=0.7	21yrs	176
How provocative OverSimplified YouTube video titles are	r=0.83	7yrs	174
xkcd comics published about math	r=0.78	16yrs	170
Google searches for 'climate change'	r=0.81	15yrs	169
Marvell Technology's stock price (MRVL)	r=0.78	21yrs	169
Rolls-Royce annual production volume	r=-0.87	17yrs	166
China's Rare Earth Element Export Volume	r=0.85	11yrs	166
Google searches for 'Johnny Depp'	r=0.75	19yrs	164
Annual U.S. inflation rate	r=0.73	21yrs	162
Grocery store spend in District of Columbia	r=0.75	19yrs	161
Number of public school students in 10th grade	r=0.66	21yrs	159
Liquefied petroleum gas used in Netherlands Antilles	r=0.79	20yrs	158
Swiss cheese consumption	r=0.63	20yrs	158
Food spending in District of Columbia	r=0.72	19yrs	156
Rain in Sydney	r=0.68	21yrs	156
Tesla's stock price (TSLA)	r=0.84	12yrs	155
Powerball lottery numbers	r=0.84	13yrs	153
The number of movies Vin Diesel appeared in	r=0.59	21yrs	153
The number of MRI technicians in District of Columbia	r=0.9	11yrs	152
Ticket sales for New York Yankees games	r=0.81	18yrs	152
Annual US household spending on fresh milk and cream	r=0.62	21yrs	150
The number of industrial truck and tractor operators in Alabama	r=0.84	20yrs	147
Annual US household spending on gasoline	r=0.6	21yrs	147
Annual US household spending on processed fruits	r=0.59	21yrs	146
Jet fuel used in Kyrgyzstan	r=0.77	20yrs	145
Popularity of the first name Xiomara	r=0.59	21yrs	144
Number of Grand Slam Finals played by Roger Federer	r=0.74	13yrs	142
Global iPod Sales	r=0.77	9yrs	142
The number of market research analysts in Maine	r=0.89	11yrs	140
The number of ushers in Texas	r=0.83	20yrs	137
How fun Casually Explained YouTube video titles are	r=-0.98	8yrs	133
The number of orderlies in Pennsylvania	r=0.87	11yrs	128
The number of pipelayers in Nebraska	r=0.83	20yrs	126
How trendy Casually Explained YouTube video titles are	r=-0.98	8yrs	123
Kerosene used in North Korea	r=-0.89	20yrs	118
The number of personal financial advisors in Nevada	r=0.83	20yrs	116
The number of firefighters in Iowa	r=0.85	13yrs	116
Popularity of the first name Dario	r=0.59	21yrs	114
NVIDIA's stock price (NVDA)	r=0.72	21yrs	113
How 'hip and with it' Casually Explained YouTube video titles are	r=-0.97	8yrs	112
The number of layout workers, metal and plastic in Virginia	r=0.85	13yrs	106
Gasoline pumped in North Korea	r=-0.86	20yrs	106
The number of log graders and scalers in Maine	r=0.83	19yrs	104
Popularity of the first name Dalia	r=0.58	21yrs	102
Average views of MrBeast's YouTube videos	r=0.72	11yrs	101
The number of nurse practitioners in Utah	r=0.86	11yrs	96
Liquefied petroleum gas used in North Korea	r=-0.85	20yrs	94
Air pollution in Hilo, Hawaii	r=0.8	11yrs	90
How fun 'Be Smart' science YouTube video titles are	r=0.71	10yrs	88
The number of event planners in Texas	r=0.85	11yrs	84
Fossil fuel use in Guam	r=0.73	20yrs	82
How good LEMMiNO YouTube video titles are	r=0.69	11yrs	76
Fossil fuel use in Spain	r=0.72	20yrs	70
How trendy Computerphile YouTube video titles are	r=0.69	10yrs	66
Gasoline pumped in Serbia	r=0.76	16yrs	60
Petroluem consumption in Syria	r=0.73	20yrs	49
How clickbait-y MrBeast's YouTube video titles are	r=0.61	11yrs	44
Biomass power generated in Sudan	r=0.7	20yrs	38
Average views of Steve Mould's YouTube videos	r=0.58	14yrs	33
Gasoline pumped in American Samoa	r=0.72	20yrs	28
Petroluem consumption in Aruba	r=0.72	20yrs	18
Electricity generation in Greece	r=0.69	20yrs	6
Jet fuel used in Kiribati	r=0.71	20yrs	-4
The number of fiberglass laminators and fabricators in Minnesota	r=0.84	18yrs	-5
Jet fuel used in Puerto Rico	r=0.69	20yrs	-17
The number of forest conservation technicians in Missouri	r=0.81	19yrs	-18
Jet fuel used in Trinidad and Tobago	r=0.68	20yrs	-28
Gasoline pumped in Kosovo	r=0.77	14yrs	-46

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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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