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

VariableCorrelationYearsSys. Score
US birth rates of triplets or morer=0.9820yrs420
U.S. intercountry adoptionsr=0.9523yrs412
Google searches for 'desktop background'r=0.9516yrs406
GMO use in cottonr=0.9723yrs398
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9922yrs394
Remaining Forest Cover in the Brazilian Amazonr=0.936yrs393
The number of telemarketers in Californiar=0.9720yrs393
The number of switchboard operators in Indianar=0.9820yrs393
The number of telemarketers in New Yorkr=0.9720yrs393
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9722yrs390
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milkr=0.9722yrs390
Nuclear power generation in Germanyr=0.9131yrs385
The divorce rate in Wyomingr=0.9423yrs382
Gasoline pumped in Latviar=0.9131yrs382
Physical album shipment volume in the United Statesr=0.9424yrs381
Google searches for 'report UFO sighting'r=0.9219yrs380
The marriage rate in Idahor=0.9423yrs380
The divorce rate in Kentuckyr=0.9323yrs380
Motor vehicle thefts in Rhode Islandr=0.9138yrs378
Cigarette Smoking Rate for US adultsr=0.9321yrs376
GMO use in cotton in Texasr=0.9623yrs376
GMO use in corn grown in Texasr=0.9618yrs374
Google searches for 'learn spanish'r=0.9219yrs374
Google searches for 'oprah winfrey'r=0.9219yrs374
Liquefied petroleum gas used in Greenlandr=0.9222yrs374
United States music album salesr=0.9416yrs373
Pirate attacks globallyr=0.914yrs370
Arson in Idahor=0.9422yrs366
Arson in Iowar=0.9222yrs364
The number of file clerks in Ohior=0.9820yrs363
US average milk-fat content of frozen dairy productsr=0.9722yrs360
US household spending on postage and stationeryr=0.9423yrs360
US household spending on prescription drugsr=0.9323yrs358
US household spending on clothin for womenr=0.9223yrs357
US household spending on booksr=0.9223yrs357
US household spending on clothingr=0.9123yrs356
US household spending on fresh milk and creamr=0.923yrs354
The number of legislators in Pennsylvaniar=0.9720yrs353
The divorce rate in North Carolinar=0.9323yrs350
The number of CEOs in South Carolinar=0.9720yrs343
Google searches for 'shook'r=0.9119yrs343
Geothermal power generated in Austriar=0.9217yrs342
Cottage cheese consumptionr=0.9532yrs338
The marriage rate in Arkansasr=0.9323yrs338
The number of switchboard operators in Tennesseer=0.9820yrs333
Google searches for 'panama canal'r=0.919yrs332
US milk fat used to produce fluid beverage milkr=0.9322yrs328
The marriage rate in Wyomingr=0.9323yrs328
Gasoline pumped in Kosovor=0.9314yrs328
The number of switchboard operators in Wisconsinr=0.9820yrs323
The divorce rate in Alabamar=0.9223yrs318
Milk consumptionr=0.9332yrs316
GMO use in corn grown in Minnesotar=0.9323yrs314
Motor vehicle thefts in Mainer=0.8838yrs314
The number of switchboard operators in Alabamar=0.9720yrs312
The divorce rate in Mississippir=0.9223yrs308
Kerosene used in Macaur=0.8542yrs304
GMO use in corn grown in Iowar=0.9223yrs303
The number of typists in Floridar=0.9720yrs302
Arson in Georgiar=0.8738yrs302
The marriage rate in Nevadar=0.9223yrs297
The number of bill collectors in Marylandr=0.9620yrs292
GMO use in corn grown in Nebraskar=0.9123yrs292
Google searches for 'black holes'r=0.919yrs292
Burglaries in Floridar=0.8738yrs292
Fossil fuel use in Slovakiar=0.8929yrs290
The marriage rate in South Dakotar=0.9223yrs287
US average milk-fat content of cottage cheeser=0.9222yrs283
The number of fast food cooks in Michiganr=0.9720yrs282
GMO use in cornr=0.9123yrs282
Burglaries in Georgiar=0.8738yrs282
Petroluem consumption in Germanyr=0.8932yrs280
The divorce rate in Arkansasr=0.9123yrs277
The number of typists in New Jerseyr=0.9720yrs272
Burglaries in Texasr=0.8738yrs272
GMO use in corn grown in South Dakotar=0.923yrs270
The divorce rate in Floridar=0.9123yrs267
Gasoline pumped in Sloveniar=0.8631yrs264
The number of typists in Rhode Islandr=0.9720yrs262
Motor vehicle thefts in New Hampshirer=0.8738yrs262
The marriage rate in Alabamar=0.9123yrs256
The number of prepress technicians and workers in Washingtonr=0.9720yrs252
Motor vehicle thefts in New Jerseyr=0.8738yrs252
The divorce rate in Texasr=0.923yrs246
Robberies in Georgiar=0.8738yrs242
The number of file clerks in Alabamar=0.9719yrs240
The number of meter readers, utilities in Alabamar=0.9620yrs230
Burglaries in Hawaiir=0.8638yrs230
The number of prepress technicians and workers in Arkansasr=0.9620yrs220
Burglaries in Nebraskar=0.8638yrs220
The number of switchboard operators in Californiar=0.9620yrs210
Burglaries in Vermontr=0.8638yrs210
The divorce rate in Oregonr=0.923yrs206
The number of postal service machine operators in Connecticutr=0.9620yrs200
Motor vehicle thefts in Texasr=0.8638yrs200
The divorce rate in Washingtonr=0.923yrs196
Motor vehicle thefts in Texasr=0.8638yrs190
The marriage rate in Kansasr=0.923yrs184
The marriage rate in Virginiar=0.923yrs174
The marriage rate in West Virginiar=0.923yrs164
The divorce rate in Idahor=0.8923yrs154


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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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