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

VariableCorrelationYearsSys. Score
Gasoline pumped in Portugalr=0.9543yrs430
Nuclear power generation in Germanyr=0.9631yrs422
US birth rates of triplets or morer=0.9620yrs418
U.S. intercountry adoptionsr=0.9523yrs412
Google searches for 'desktop background'r=0.9716yrs409
Google searches for 'oprah winfrey'r=0.9519yrs409
United States music album salesr=0.9616yrs406
Patents granted to Toshibar=0.9712yrs404
Gasoline pumped in Luxembourgr=0.9243yrs396
The number of bill collectors in Colorador=0.9820yrs394
The number of telemarketers in Californiar=0.9720yrs393
The number of bill collectors in Marylandr=0.9720yrs393
Portion of all US dairy skim-solids allocated to the production of fluid beverage milkr=0.9722yrs390
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milkr=0.9722yrs390
Portion of all US dairy skim-solids allocated to the production of frozen dairy productsr=0.9622yrs389
The divorce rate in Wyomingr=0.9523yrs383
The marriage rate in Idahor=0.9523yrs382
The divorce rate in Arkansasr=0.9423yrs382
Physical album shipment volume in the United Statesr=0.9424yrs381
Associates degrees awarded in Accountingr=0.9511yrs381
Google searches for 'report UFO sighting'r=0.9119yrs379
Cigarette Smoking Rate for US adultsr=0.9421yrs378
GMO use in cotton in Texasr=0.9623yrs376
Google searches for 'shook'r=0.9319yrs376
Robberies in North Carolinar=0.938yrs376
Pirate attacks globallyr=0.9314yrs374
GMO use in corn grown in Texasr=0.9618yrs374
Arson in Idahor=0.9322yrs365
GMO use in cottonr=0.9523yrs364
Gasoline pumped in Denmarkr=0.9143yrs364
The number of telemarketers in New Yorkr=0.9720yrs363
US household spending on postage and stationeryr=0.9523yrs362
US household spending on clothin for womenr=0.9523yrs362
Arson in Iowar=0.9122yrs362
US household spending on clothingr=0.9423yrs360
US household spending on prescription drugsr=0.9223yrs357
How 'hip and with it' LockPickingLawyer YouTube video titles arer=0.988yrs357
US household spending on fresh milk and creamr=0.9123yrs356
US household spending on clothing for menr=0.9123yrs356
Orange's stock price (ORAN)r=0.8521yrs354
The number of forging machine setters, operators, and tenders, metal and plastic in Pennsylvaniar=0.9820yrs353
The divorce rate in Kentuckyr=0.9423yrs352
Google searches for 'learn spanish'r=0.9319yrs346
Petroluem consumption in Germanyr=0.9132yrs343
The number of prepress technicians and workers in Pennsylvaniar=0.9820yrs343
The divorce rate in North Carolinar=0.9423yrs342
Google searches for 'snoop dog'r=0.9319yrs336
Gasoline pumped in Sloveniar=0.9131yrs332
Burglaries in Puerto Ricor=0.924yrs332
The number of switchboard operators in Arizonar=0.9720yrs332
The marriage rate in Arkansasr=0.9423yrs330
US average milk-fat content of frozen dairy productsr=0.9422yrs326
Google searches for 'panama canal'r=0.9219yrs324
The number of prepress technicians and workers in Arkansasr=0.9720yrs322
The marriage rate in South Dakotar=0.9423yrs320
Liquefied petroleum gas used in Greenlandr=0.9222yrs314
US average milk-fat content of cottage cheeser=0.9322yrs314
GMO use in corn grown in Minnesotar=0.9323yrs314
Google searches for 'Panama Canal'r=0.919yrs312
The number of floral designers in Indianar=0.9720yrs312
The divorce rate in Mississippir=0.9323yrs310
Robberies in South Carolinar=0.8938yrs305
GMO use in corn grown in Iowar=0.9223yrs303
Google searches for 'black holes'r=0.919yrs302
The number of CEOs in Massachusettsr=0.9719yrs302
Gasoline pumped in Kosovor=0.9414yrs300
The marriage rate in Alabamar=0.9323yrs298
GMO use in corn grown in Nebraskar=0.9223yrs293
US milk fat used to produce fluid beverage milkr=0.8922yrs292
Robberies in Mississippir=0.8738yrs292
The number of file clerks in Massachusettsr=0.9720yrs292
The marriage rate in Wyomingr=0.9323yrs288
GMO use in cornr=0.9123yrs282
The number of file clerks in Mississippir=0.9720yrs282
Ice cream consumptionr=0.932yrs280
The divorce rate in Alabamar=0.9223yrs278
Nuclear power generation in United Kingdomr=0.8642yrs278
The number of switchboard operators in New Hampshirer=0.9720yrs272
The divorce rate in Floridar=0.9223yrs268
Kerosene used in Indiar=0.8842yrs268
The number of bill collectors in New Mexicor=0.9620yrs262
The divorce rate in Oregonr=0.9223yrs258
Liquefied petroleum gas used in Australiar=0.8643yrs256
The number of cooks, short order in North Carolinar=0.9720yrs252
The divorce rate in Virginiar=0.9223yrs248
Kerosene used in Malawir=0.8642yrs246
The number of counter and rental clerks in Pennsylvaniar=0.9720yrs242
The divorce rate in Washingtonr=0.9223yrs238
Petroluem consumption in Portugalr=0.8643yrs236
The number of telemarketers in Pennsylvaniar=0.9620yrs232
The marriage rate in Alaskar=0.9223yrs227
Kerosene used in South Korear=0.8643yrs226
The number of switchboard operators in Alabamar=0.9620yrs220
The marriage rate in Louisianar=0.9223yrs217
The number of meter readers, utilities in Alabamar=0.9620yrs210
Gasoline pumped in Latviar=0.8931yrs209
The marriage rate in Nevadar=0.9223yrs207
The number of switchboard operators in Californiar=0.9620yrs200
Fossil fuel use in Slovakiar=0.8829yrs198
The divorce rate in Idahor=0.9123yrs197
The marriage rate in Kansasr=0.9123yrs186


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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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