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Average number of comments on Computerphile YouTube videos correlates with...

VariableCorrelationYearsHas img?
Popularity of the first name Rosarior=0.8210yrsYes!
Popularity of the first name Felishar=0.157yrsYes!
Number of times 18 was a winning Mega Millions numberr=-0.3411yrsYes!



Average number of comments on Computerphile YouTube videos also correlates with...

VariableCorrelationYearsSys. Score
Air pollution in Walterboro, South Carolinar=0.976yrs336
The number of librarians in New Hampshirer=0.966yrs311
The number of jewelers in Georgiar=0.9110yrs292
The number of movies Amy Adams appeared inr=0.8710yrs289
The number of college psychology teachers in Louisianar=0.926yrs275
Hydopower energy generated in Polandr=0.879yrs262
Asthma attacks in American childrenr=0.877yrs243
The number of sound engineering technicians in Illinoisr=0.8910yrs230
The number of firefighters in Arizonar=0.8910yrs220
The number of network systems administrators in Idahor=0.868yrs188
The number of movies Kirsten Dunst appeared inr=0.8310yrs178
The number of tree trimmers and pruners in North Carolinar=0.877yrs178
The number of movies Dwayne Johnson appeared inr=0.8111yrs176
Popularity of the first name Yasminer=0.8410yrs170
Popularity of the first name Yahairar=0.8210yrs168
US household spending on maintenance and repairsr=0.7410yrs157
GMO use in corn grown in Illinoisr=0.8211yrs156
Air pollution in Clinton, Iowar=0.8211yrs153
US music album salesr=0.8410yrs152
Associates degrees awarded in Educationr=0.79yrs152
Air pollution in Wheeling, West Virginiar=0.8111yrs152
Popularity of the 'McKayla Maroney' memer=0.789yrs150
Lukas Podolski's domestic match goal countr=0.8110yrs148
Biomass power generated in Burundir=0.819yrs148
The number of movies Daniel Day-Lewis appeared inr=0.819yrs144
GMO use in cottonr=0.6310yrs144
US household spending on poultryr=0.6510yrs144
US household spending on mortgage interest and chargesr=0.6510yrs144
Sherbet consumptionr=0.669yrs142
US household spending on fresh milk and creamr=0.6410yrs142
Electricity generation in Denmarkr=0.769yrs140
GMO use in cotton in Tennesseer=0.7110yrs136
Passing attempts by Drew Brees per NFL seasonr=0.678yrs134
The number of movies Ed Harris appeared inr=0.7911yrs133
Popularity of the 'fidget spinner' memer=0.757yrs133
Popularity of the first name Tashar=0.7810yrs132
Asthma attacks in American childrenr=0.837yrs132
Google searches for 'Britney Spears'r=0.6911yrs132
Popularity of the 'doge' memer=0.6511yrs132
Score difference in the final match of the NCAA men's volleyball National championshipr=0.710yrs131
Rain in Berlinr=0.6810yrs130
Popularity of the first name Rasheedr=0.7610yrs118
Air pollution in Ogden, Utahr=0.7911yrs118
The number of movies John Krasinski appeared inr=0.7410yrs114
Popularity of the first name Andriar=0.7610yrs108
Air pollution in Miamir=0.7611yrs107
Liquefied petroleum gas used in Argentinar=0.759yrs106
GMO use in cotton in Texasr=0.710yrs104
The number of movies James Stewart appeared inr=0.7211yrs102
Popularity of the first name Yajairar=0.7510yrs97
Air pollution in Steamboat Springs, Colorador=0.7811yrs97
GMO use in cornr=0.6611yrs92
Petroluem consumption in Gabonr=0.719yrs90
Popularity of the first name Ramiror=0.7410yrs86
The number of movies Channing Tatum appeared inr=0.6811yrs86
Air pollution in Butte, Montanar=0.7611yrs84
GMO use in corn grown in Texasr=0.6511yrs80
Popularity of the first name Dianer=0.7410yrs76
Air pollution in Janesville, Wisconsinr=0.7710yrs74
The number of movies Michael Cera appeared inr=0.6511yrs72
GMO use in cotton in Georgiar=0.6710yrs70
Popularity of the first name Ebonir=0.7310yrs64
The number of movies Morgan Freeman appeared inr=0.6511yrs62
The number of postal service machine operators in Californiar=0.8410yrs62
Air pollution in Provo, Utahr=0.7411yrs61
Popularity of the first name Symoner=0.7310yrs54
The number of postal service machine operators in Marylandr=0.8410yrs52
The number of movies Ryan Gosling appeared inr=0.6411yrs50
Air pollution in Johnstown, Pennsylvaniar=0.7211yrs48
Popularity of the first name Glenr=0.7110yrs41
The number of movies Rooney Mara appeared inr=0.6410yrs40
The number of postal service machine operators in Colorador=0.8310yrs40
Air pollution in Truckee, Californiar=0.7211yrs38
Popularity of the first name Evelinr=0.7110yrs31
The number of security guards in Minnesotar=0.8310yrs30
The number of movies Ian McKellen appeared inr=0.6111yrs26
Air pollution in Sierra Vista, Arizonar=0.7111yrs26
Popularity of the first name Kaseyr=0.710yrs20
The number of biochemists and biophysicists in Nebraskar=0.857yrs20
Air pollution in Rockland, Mainer=0.729yrs16
Popularity of the first name Sashar=0.710yrs10
The number of postal service machine operators in New Yorkr=0.8310yrs10
Air pollution in Reno, Nevadar=0.711yrs5
The number of movies Orlando Bloom appeared inr=0.611yrs4
Popularity of the first name Alyssiar=0.710yrs0
The number of bakers in Oklahomar=0.8310yrs0
Air pollution in Ponca City, Oklahomar=0.6911yrs-6
The number of movies Tilda Swinton appeared inr=0.611yrs-6
Popularity of the first name Deondrer=0.710yrs-10
The number of janitors and cleaners in Virgin Islandsr=0.8310yrs-10
Air quality in Montgomery, Alabamar=0.6811yrs-18
The number of movies Christopher Lee appeared inr=0.5811yrs-18
Popularity of the first name Denar=0.710yrs-20
The number of laundry and dry-cleaning workers in Virgin Islandsr=0.8310yrs-20
The number of movies Javier Bardem appeared inr=0.5811yrs-28
Popularity of the first name Edgardor=0.710yrs-30
Air pollution in Missoula, Montanar=0.6711yrs-30
Popularity of the first name Richeller=0.710yrs-40
Air pollution in Watertown, Wisconsinr=0.6710yrs-40
The number of movies Zach Galifianakis appeared inr=0.5711yrs-40


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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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