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Data source: US Social Security Administration
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Popularity of the first name Myron correlates with...

VariableCorrelationYearsSys. Score
The distance between Neptune and Mercuryr=0.9648yrs420
Burglaries in New Yorkr=0.9638yrs416
Burglaries in Californiar=0.9538yrs414
Burglaries in Connecticutr=0.9538yrs414
Viewership count for Days of Our Livesr=0.947yrs402
Remaining Forest Cover in the Brazilian Amazonr=0.9536yrs400
Kerosene used in Turkiyer=0.9443yrs398
Gasoline pumped in Bulgariar=0.9342yrs396
Kerosene used in Mexicor=0.9440yrs396
Air pollution in San Diego, Californiar=0.9543yrs394
The distance between Neptune and the Sunr=0.9448yrs386
The distance between Neptune and Earthr=0.9448yrs386
Average number of milk cows in the United Statesr=0.8843yrs384
The wind speed in Austinr=0.9339yrs376
The wind speed in San Diegor=0.9139yrs373
Arson in United Statesr=0.9438yrs372
Air pollution in Los Angelesr=0.9343yrs364
Air pollution in Los Angelesr=0.9343yrs364
Gasoline pumped in Francer=0.9143yrs364
Burglary rates in the USr=0.9438yrs362
The distance between Neptune and the moonr=0.9448yrs356
Kerosene used in Thailandr=0.9242yrs354
Votes for the Republican Presidential candidate in Washington, D.C.r=0.9412yrs352
The number of printing press operators in Pennsylvaniar=0.9313yrs348
The divorce rate in New Hampshirer=0.8923yrs344
Kerosene used in Uruguayr=0.9242yrs344
The divorce rate in Kentuckyr=0.8823yrs342
The divorce rate in Mainer=0.8723yrs341
Milk consumptionr=0.8932yrs340
Cottage cheese consumptionr=0.932yrs340
The wind speed in Nashviller=0.8839yrs338
Kerosene used in Venezuelar=0.9242yrs334
Burglaries in Floridar=0.9538yrs334
Air pollution in New York Cityr=0.9243yrs333
Burglaries in New Mexicor=0.9538yrs324
Air pollution in San Diego, Californiar=0.9443yrs323
Kerosene used in Argentinar=0.9142yrs323
US household spending on clothin for womenr=0.8823yrs321
US household spending on clothingr=0.8723yrs320
The number of data entry keyers in New Mexicor=0.8820yrs318
The number of housekeepers in Ohior=0.8720yrs318
US household spending on clothing for menr=0.8623yrs318
Burglaries in Virginiar=0.9538yrs314
Petroluem consumption in Bulgariar=0.9142yrs313
Air pollution in New York Cityr=0.9143yrs312
The divorce rate in Missourir=0.8723yrs311
Frozen yogurt consumptionr=0.8632yrs304
Motor vehicle thefts in Massachusettsr=0.9538yrs304
Air pollution in Oxnard, Californiar=0.9541yrs302
The divorce rate in Tennesseer=0.8723yrs301
Robberies in Oregonr=0.9538yrs294
The divorce rate in Oregonr=0.8623yrs290
Air pollution in Oxnard, Californiar=0.9143yrs288
The number of industrial truck and tractor operators in Hawaiir=0.8819yrs287
Burglaries in Illinoisr=0.9438yrs282
Air pollution in Riverside, Californiar=0.9143yrs278
The divorce rate in North Carolinar=0.8523yrs278
The number of fiberglass laminators and fabricators in South Carolinar=0.8819yrs277
Kerosene used in Ecuadorr=0.942yrs272
Burglaries in Oregonr=0.9438yrs272
The number of budget analysts in Illinoisr=0.8720yrs266
Air pollution in Steamboat Springs, Colorador=0.9138yrs264
Petroluem consumption in Romaniar=0.942yrs262
Burglaries in Texasr=0.9438yrs262
The number of recreational therapists in Oklahomar=0.8720yrs256
Gasoline pumped in Somaliar=0.942yrs252
Highest Nielsen rating for a TV show each yearr=0.8346yrs252
Burglaries in Colorador=0.9438yrs252
NASA's budget as a percentage of the total US Federal Budgetr=0.7748yrs250
Customer satisfaction with Whirlpoolr=0.828yrs250
The number of printing press operators in Connecticutr=0.9113yrs246
Robberies in Michiganr=0.9438yrs242
Kerosene used in Portugalr=0.8943yrs241
The number of floral designers in Connecticutr=0.8620yrs235
Kerosene used in United Statesr=0.8943yrs231
Arson in New Yorkr=0.9338yrs231
Air pollution in Augusta, Mainer=0.8943yrs226
The number of budget analysts in Hawaiir=0.8620yrs225
Arson in Californiar=0.9338yrs221
Kerosene used in Boliviar=0.8942yrs220
Air pollution in New York Cityr=0.8743yrs216
The number of counter and rental clerks in Minnesotar=0.8620yrs215
Burglaries in Michiganr=0.9338yrs211
Kerosene used in Brazilr=0.8942yrs210
The number of procurement clerks in New Yorkr=0.8620yrs205
Air pollution in Philadelphia, Pennsylvaniar=0.8843yrs204
Burglaries in Minnesotar=0.9338yrs201
Gasoline pumped in Cubar=0.8942yrs200
The number of file clerks in North Dakotar=0.8620yrs195
Air pollution in Philadelphia, Pennsylvaniar=0.8843yrs194
Burglaries in Arizonar=0.9338yrs191
Kerosene used in Cubar=0.8942yrs190
The number of janitors and cleaners in Wisconsinr=0.8620yrs185
Air pollution in Spokane, Washingtonr=0.8843yrs184
Fossil fuel use in Sierra Leoner=0.8642yrs178
Air pollution in Atlantic City, New Jerseyr=0.8743yrs172
Kerosene used in Egyptr=0.8842yrs168
Air pollution in Portland, Mainer=0.8743yrs162
Air pollution in Baltimore, Marylandr=0.8643yrs151
Air pollution in Manchester, New Hampshirer=0.8643yrs141
Air pollution in Providence, Rhode Islandr=0.8643yrs131


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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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