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

VariableCorrelationYearsSys. Score
Kerosene used in Turkiyer=0.9843yrs434
Kerosene used in Mexicor=0.9740yrs430
Average number of milk cows in the United Statesr=0.9243yrs420
US birth rates of triplets or morer=0.9620yrs418
Arson in New Yorkr=0.9838yrs418
Burglaries in Colorador=0.9838yrs418
Burglaries in Californiar=0.9738yrs417
Google searches for 'panama canal'r=0.9819yrs414
The marriage rate in Idahor=0.9723yrs414
Physical album shipment volume in the United Statesr=0.9524yrs412
Google searches for 'Panama Canal'r=0.9719yrs412
The marriage rate in Nevadar=0.9523yrs412
Gasoline pumped in Bulgariar=0.9542yrs399
Air pollution in San Diego, Californiar=0.9643yrs396
Average length of LockPickingLawyer YouTube videosr=0.978yrs396
Remaining Forest Cover in the Brazilian Amazonr=0.9136yrs394
The number of telemarketers in Californiar=0.9820yrs394
The number of sewing machine operators in Californiar=0.9920yrs394
The number of data entry keyers in Californiar=0.9820yrs393
US household spending on postage and stationeryr=0.9523yrs392
Carjackings in the USr=0.9427yrs392
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9622yrs389
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9622yrs389
Robberies in Oregonr=0.9738yrs387
The distance between Neptune and Mercuryr=0.9248yrs384
The distance between Neptune and the Sunr=0.9148yrs382
The distance between Neptune and Earthr=0.9148yrs382
The marriage rate in Virginiar=0.9523yrs382
Google searches for 'learn spanish'r=0.9519yrs379
U.S. intercountry adoptionsr=0.9223yrs377
Burglaries in New Yorkr=0.9638yrs376
United States music album salesr=0.9416yrs373
Cigarette Smoking Rate for US adultsr=0.921yrs372
The wind speed in Nashviller=0.939yrs372
Air pollution in Los Angelesr=0.9543yrs368
Petroluem consumption in Bulgariar=0.9442yrs368
Burglaries in Oregonr=0.9638yrs366
Highest Nielsen rating for a TV show each yearr=0.8846yrs364
Air pollution in Los Angelesr=0.9343yrs364
The number of telemarketers in Illinoisr=0.9720yrs363
Kerosene used in Venezuelar=0.9442yrs358
The number of typists in Iowar=0.9820yrs353
The distance between Neptune and the moonr=0.9148yrs352
The marriage rate in Arkansasr=0.9423yrs350
Google searches for 'black holes'r=0.9419yrs348
Kerosene used in Ecuadorr=0.9342yrs346
The number of file clerks in Marylandr=0.9820yrs343
The marriage rate in Kentuckyr=0.9423yrs340
Cottage cheese consumptionr=0.932yrs340
Burglary rates in the USr=0.9238yrs340
Google searches for 'oprah winfrey'r=0.9319yrs336
Kerosene used in Portugalr=0.9243yrs336
The number of computer programmers in New Jerseyr=0.9720yrs333
The marriage rate in Louisianar=0.9423yrs330
Google searches for 'snoop dog'r=0.9219yrs324
Petroluem consumption in Romaniar=0.9242yrs324
The number of telemarketers in New Jerseyr=0.9720yrs323
The marriage rate in Wyomingr=0.9423yrs320
Gasoline pumped in Somaliar=0.9242yrs314
Google searches for 'shook'r=0.9119yrs313
The number of data entry keyers in New Yorkr=0.9820yrs313
The divorce rate in Alabamar=0.9323yrs310
Burglaries in Texasr=0.9538yrs304
Kerosene used in Uruguayr=0.9242yrs304
The number of sewing machine operators in New Yorkr=0.9820yrs303
The divorce rate in Kentuckyr=0.9323yrs300
Google searches for 'desktop background'r=0.9116yrs300
Kerosene used in Hong Kongr=0.9142yrs293
Burglaries in Rhode Islandr=0.9438yrs292
The number of meter readers, utilities in Alabamar=0.9720yrs292
The marriage rate in Alabamar=0.9323yrs288
Kerosene used in Romaniar=0.942yrs282
Burglaries in Washingtonr=0.9438yrs282
The number of travel agents in Connecticutr=0.9720yrs282
The marriage rate in South Dakotar=0.9323yrs278
Burglaries in Connecticutr=0.9438yrs272
The number of typists in Floridar=0.9720yrs272
The divorce rate in North Carolinar=0.9223yrs268
Petroluem consumption in Ukrainer=0.9530yrs267
Motor vehicle thefts in Massachusettsr=0.9438yrs262
The number of switchboard operators in Georgiar=0.9720yrs262
The divorce rate in Tennesseer=0.9223yrs258
Jet fuel used in Ukrainer=0.9530yrs257
The number of switchboard operators in Indianar=0.9720yrs252
Burglaries in Montanar=0.9338yrs251
The divorce rate in Wyomingr=0.9223yrs248
Petroluem consumption in Belarusr=0.9330yrs244
The number of couriers and messengers in Indianar=0.9720yrs242
Burglaries in Oklahomar=0.9338yrs241
The divorce rate in Floridar=0.9123yrs237
The number of CEOs in Kentuckyr=0.9620yrs232
Motor vehicle thefts in Oklahomar=0.9338yrs231
The divorce rate in New Hampshirer=0.923yrs226
The number of switchboard operators in Massachusettsr=0.9720yrs222
Robberies in Michiganr=0.9338yrs221
The divorce rate in Washingtonr=0.923yrs216
The number of file clerks in Massachusettsr=0.9720yrs212
Arson in Colorador=0.9238yrs210
The number of typists in Massachusettsr=0.9720yrs202
Burglaries in Floridar=0.9238yrs200
Burglaries in Michiganr=0.9238yrs190


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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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