Top variables that correlate with Average views of Computerphile YouTube videos

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Data source: YouTube
Additional Info: ^{See full details} Current total views of videos released that year.

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Average views of Computerphile YouTube videos correlates with...

Variable	Correlation	Years	Has img?
The number of umpires and referees in Virginia	r=0.94	10yrs	Yes!
Popularity of the 'one does not simply' meme	r=0.8	11yrs	No

Average views of Computerphile YouTube videos also correlates with...

Variable	Correlation	Years	Sys. Score
The average age of batters for the Detroit Tigers	r=0.96	11yrs	400
The number of animal control workers in New Mexico	r=0.98	10yrs	383
Number of edits to the Wikipedia article for Slippery slope	r=0.92	11yrs	360
Popularity of the 'fidget spinner' meme	r=0.96	7yrs	354
Arson in Georgia	r=0.94	10yrs	324
The number of judicial law clerks in Ohio	r=0.95	10yrs	318
Popularity of the first name Ryne	r=0.95	10yrs	317
Popularity of the first name Nathanial	r=0.93	10yrs	314
Popularity of the first name Destinie	r=0.93	10yrs	314
The divorce rate in South Dakota	r=0.91	9yrs	313
Fossil fuel use in Netherlands Antilles	r=0.9	9yrs	312
Liquefied petroleum gas used in Serbia	r=0.91	9yrs	310
GMO use in corn	r=0.94	11yrs	304
Motor vehicle thefts in Massachusetts	r=0.91	10yrs	300
Burglaries in Arkansas	r=0.9	10yrs	298
Popularity of the 'willy wonka' meme	r=0.88	11yrs	286
Popularity of the 'not sure if' meme	r=0.88	11yrs	286
The number of boiler operators in Louisiana	r=0.93	10yrs	286
Asthma attacks in American children	r=0.87	7yrs	283
Google searches for 'facebook'	r=0.89	11yrs	282
Kerosene used in Japan	r=0.9	10yrs	280
Physical album shipment volume in the United States	r=0.88	10yrs	278
Google searches for 'Barack Obama'	r=0.86	11yrs	278
Emmy Awards Ceremony viewership	r=0.87	10yrs	276
The number of pipelayers in Mississippi	r=0.93	10yrs	276
Robberies in Connecticut	r=0.9	10yrs	268
US birth rates of triplets or more	r=0.86	9yrs	266
The number of movies Zach Galifianakis appeared in	r=0.88	11yrs	266
The number of movies Dwayne Johnson appeared in	r=0.88	11yrs	266
The number of movies Ed Harris appeared in	r=0.88	11yrs	266
The number of typists in Rhode Island	r=0.93	10yrs	266
The divorce rate in Kentucky	r=0.89	9yrs	265
Popularity of the first name Franchesca	r=0.93	10yrs	264
The marriage rate in Iowa	r=0.88	9yrs	262
US household spending on mortgage interest and charges	r=0.9	10yrs	261
United States music album sales	r=0.85	10yrs	258
The distance between Neptune and the Sun	r=0.86	11yrs	258
The distance between Neptune and Earth	r=0.86	11yrs	258
Robberies in Connecticut	r=0.9	10yrs	258
The distance between Neptune and the moon	r=0.85	11yrs	256
The number of data entry keyers in Guam	r=0.93	10yrs	256
Popularity of the 'y u no' meme	r=0.86	11yrs	254
Popularity of the first name Kerri	r=0.92	10yrs	252
The number of laundry and dry-cleaning workers in Virgin Islands	r=0.93	10yrs	246
GMO use in cotton in Texas	r=0.9	10yrs	244
Popularity of the first name Alyssia	r=0.92	10yrs	242
The number of mechanical drafters in Virginia	r=0.93	10yrs	236
The divorce rate in Missouri	r=0.87	9yrs	232
Gasoline pumped in Ukraine	r=0.89	9yrs	232
Popularity of the first name Jaycie	r=0.92	10yrs	232
The distance between Neptune and Saturn	r=0.85	11yrs	226
The number of special education teachers in Kansas	r=0.93	10yrs	226
Popularity of the first name Kristal	r=0.92	10yrs	222
The marriage rate in Delaware	r=0.87	9yrs	220
Biomass power generated in Burundi	r=0.86	9yrs	220
Burglary rates in the US	r=0.87	10yrs	219
Popularity of the first name Dyllan	r=0.92	10yrs	212
The divorce rate in Arizona	r=0.86	9yrs	210
Fossil fuel use in Denmark	r=0.85	9yrs	209
Arson in Texas	r=0.9	10yrs	208
Popularity of the first name Bianca	r=0.91	10yrs	201
The divorce rate in Washington	r=0.86	9yrs	200
Burglaries in Vermont	r=0.9	10yrs	198
Liquefied petroleum gas used in Australia	r=0.86	10yrs	198
The number of network systems administrators in Idaho	r=0.95	8yrs	196
Popularity of the first name Nichole	r=0.91	10yrs	191
The divorce rate in Tennessee	r=0.85	9yrs	189
Petroluem consumption in Gabon	r=0.86	9yrs	188
Arson in South Dakota	r=0.89	10yrs	187
The number of city bus drivers in New Mexico	r=0.92	10yrs	186
Popularity of the first name Stacey	r=0.91	10yrs	181
US bank failures	r=0.81	11yrs	178
Burglaries in Nebraska	r=0.89	10yrs	177
Kerosene used in Norway	r=0.85	10yrs	177
The number of insurance claims adjusters in Pennsylvania	r=0.92	10yrs	176
Popularity of the first name Alycia	r=0.91	10yrs	171
Burglaries in New Mexico	r=0.89	10yrs	167
The number of construction laborers in South Dakota	r=0.93	10yrs	166
Popularity of the first name Leeann	r=0.91	10yrs	161
Burglaries in Wisconsin	r=0.89	10yrs	157
The number of optometrists in Wyoming	r=0.92	10yrs	156
Popularity of the first name Symone	r=0.91	10yrs	151
Burglaries in Michigan	r=0.88	10yrs	146
The number of geoscientists in Alabama	r=0.92	10yrs	144
Popularity of the first name Andria	r=0.91	10yrs	141
Burglaries in Texas	r=0.88	10yrs	136
The number of computer programmers in Utah	r=0.91	10yrs	134
Popularity of the first name Suzanna	r=0.91	10yrs	131
Robberies in Massachusetts	r=0.88	10yrs	126
The number of butchers in Wyoming	r=0.92	10yrs	124
Popularity of the first name Kirsten	r=0.9	10yrs	120
Burglaries in Maryland	r=0.87	10yrs	114
The number of cashiers in Virgin Islands	r=0.92	10yrs	114
Popularity of the first name Jimmy	r=0.9	10yrs	110
Burglaries in Arizona	r=0.87	10yrs	104
The number of ticket agents in Virgin Islands	r=0.92	10yrs	104
Popularity of the first name Maggie	r=0.9	10yrs	100
Robberies in Idaho	r=0.87	10yrs	94
Arson in Tennessee	r=0.87	10yrs	69
Burglaries in Massachusetts	r=0.87	10yrs	59

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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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