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

VariableCorrelationYearsSys. Score
Burglary rates in the USr=0.9638yrs436
Kerosene used in Argentinar=0.9542yrs429
The distance between Neptune and the Sunr=0.9548yrs418
The distance between Neptune and Earthr=0.9548yrs418
The distance between Neptune and the moonr=0.9548yrs418
Burglaries in New Yorkr=0.9838yrs418
Burglaries in Connecticutr=0.9838yrs418
US production of fluid beverage milkr=0.9722yrs414
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milkr=0.9622yrs410
United States music album salesr=0.9516yrs404
Remaining Forest Cover in the Brazilian Amazonr=0.9336yrs398
Kerosene used in Venezuelar=0.9442yrs398
Average length of LockPickingLawyer YouTube videosr=0.988yrs397
Air pollution in San Diego, Californiar=0.9643yrs396
Gasoline pumped in Austriar=0.9243yrs396
The number of bill collectors in New Jerseyr=0.9720yrs393
The number of library technicians in Pennsylvaniar=0.9820yrs393
US household spending on mortgage interest and chargesr=0.9623yrs393
The number of computer programmers in Floridar=0.9620yrs392
Burglaries in Floridar=0.9738yrs387
Associates degrees awarded in Business operationsr=0.9711yrs384
Master's degrees awarded in gender studiesr=0.9710yrs384
Bachelor's degrees awarded in linguisticsr=0.9610yrs383
The divorce rate in Idahor=0.9523yrs383
The divorce rate in Colorador=0.9323yrs380
The divorce rate in Delawarer=0.9323yrs380
The wind speed in San Diegor=0.9439yrs378
Burglaries in Massachusettsr=0.9738yrs377
Cigarette Smoking Rate for US adultsr=0.9321yrs376
Google searches for 'desktop background'r=0.9516yrs376
The wind speed in Austinr=0.9339yrs376
Google searches for 'how to do magic'r=0.9119yrs373
Viewership count for Days of Our Livesr=0.947yrs372
Cottage cheese consumptionr=0.9132yrs372
Pirate attacks globallyr=0.9114yrs371
Patents granted to Toshibar=0.9412yrs369
Robberies in New Yorkr=0.9738yrs367
Kerosene used in Cubar=0.9342yrs366
Air pollution in Los Angelesr=0.9443yrs366
Air pollution in Los Angelesr=0.9443yrs366
The number of telemarketers in Massachusettsr=0.9620yrs362
Burglaries in Rhode Islandr=0.9638yrs356
Kerosene used in Egyptr=0.9342yrs356
The distance between Neptune and Mercuryr=0.9448yrs356
The number of counter and rental clerks in Minnesotar=0.9720yrs352
Associates degrees awarded in Accountingr=0.9611yrs352
The divorce rate in Kentuckyr=0.9323yrs350
Burglaries in Texasr=0.9638yrs346
Gasoline pumped in Francer=0.9243yrs346
The number of painting, coating, and decorating workers in Pennsylvaniar=0.9720yrs342
The divorce rate in Mainer=0.9323yrs340
Burglaries in Virginiar=0.9638yrs336
Kerosene used in Thailandr=0.9342yrs336
Air pollution in Riverside, Californiar=0.9443yrs333
The number of legislators in Tennesseer=0.9620yrs332
The divorce rate in Wisconsinr=0.9323yrs330
Burglaries in Californiar=0.9638yrs326
Gasoline pumped in Cubar=0.9242yrs324
The number of payroll and timekeeping clerks in Alabamar=0.9620yrs320
The divorce rate in Arkansasr=0.9223yrs318
Motor vehicle thefts in Massachusettsr=0.9638yrs316
Kerosene used in Pakistanr=0.9142yrs313
The number of procurement clerks in Alabamar=0.9620yrs310
The divorce rate in Illinoisr=0.9223yrs308
Motor vehicle thefts in New Jerseyr=0.9638yrs306
Kerosene used in Turkiyer=0.943yrs302
The number of computer programmers in Kansasr=0.9520yrs300
The divorce rate in Missourir=0.9223yrs298
Burglaries in New Jerseyr=0.9538yrs294
The number of computer programmers in Oklahomar=0.9520yrs290
The divorce rate in West Virginiar=0.9223yrs288
Motor vehicle thefts in Rhode Islandr=0.9538yrs284
Petroluem consumption in Belarusr=0.9330yrs284
The number of file clerks in Oregonr=0.9620yrs280
The divorce rate in Wyomingr=0.9223yrs278
Robberies in Connecticutr=0.9538yrs274
Petroluem consumption in Ukrainer=0.9330yrs274
The number of meter readers, utilities in Californiar=0.9519yrs268
The marriage rate in Alaskar=0.9223yrs267
Robberies in Connecticutr=0.9538yrs264
Jet fuel used in Ukrainer=0.9230yrs262
The number of switchboard operators in Mississippir=0.9520yrs258
The divorce rate in Michiganr=0.9123yrs257
Liquefied petroleum gas used in Belarusr=0.9130yrs251
The number of typists in Mississippir=0.9520yrs248
The divorce rate in Nebraskar=0.9123yrs247
Arson in United Statesr=0.9438yrs242
Gasoline pumped in Latviar=0.931yrs240
The number of counter and rental clerks in South Dakotar=0.9520yrs238
The divorce rate in Texasr=0.9123yrs237
Robberies in the USr=0.9438yrs232
The number of executive administrative assistants in Ohior=0.9913yrs228
The divorce rate in Virginiar=0.9123yrs227
Gasoline pumped in Kosovor=0.9314yrs218
The number of librarians in Pennsylvaniar=0.9616yrs216
The divorce rate in Washingtonr=0.923yrs216
The number of executive administrative assistants in Floridar=0.9813yrs206
Arson in Georgiar=0.9538yrs204
The divorce rate in Oklahomar=0.9218yrs204
The number of executive administrative assistants in Illinoisr=0.9813yrs196
Burglaries in Illinoisr=0.9538yrs194


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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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