Top variables that correlate with Popularity of the first name Cailin

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

Variable	Correlation	Years	Sys. Score
US birth rates of triplets or more	r=0.96	20yrs	418
The divorce rate in Arkansas	r=0.95	23yrs	413
Pirate attacks globally	r=0.97	14yrs	410
Google searches for 'desktop background'	r=0.98	16yrs	410
UK Public Library Count	r=0.96	12yrs	399
GMO use in cotton	r=0.96	23yrs	396
The number of postal service machine operators in Idaho	r=0.99	20yrs	394
The number of computer programmers in Ohio	r=0.98	20yrs	394
The number of switchboard operators in Alabama	r=0.98	20yrs	393
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.97	22yrs	390
Gasoline pumped in Croatia	r=0.94	30yrs	386
U.S. intercountry adoptions	r=0.95	23yrs	382
The divorce rate in Mississippi	r=0.94	23yrs	382
Cigarette Smoking Rate for US adults	r=0.95	21yrs	380
Viewership count of American Idol Season Finale	r=0.92	21yrs	380
The divorce rate in Idaho	r=0.93	23yrs	380
GMO use in cotton in Texas	r=0.97	23yrs	378
Google searches for 'report UFO sighting'	r=0.9	19yrs	378
Google searches for 'oprah winfrey'	r=0.94	19yrs	378
US production of fluid beverage milk	r=0.92	22yrs	376
xkcd comics published about romance	r=0.92	16yrs	376
GMO use in corn grown in Texas	r=0.96	18yrs	374
Geothermal power generated in Austria	r=0.93	17yrs	374
United States music album sales	r=0.93	16yrs	372
Global iPod Sales	r=0.96	9yrs	370
Asthma attacks in American children	r=0.89	23yrs	367
Arson in Idaho	r=0.93	22yrs	365
Arson in Iowa	r=0.92	22yrs	364
Burglaries in Puerto Rico	r=0.91	24yrs	364
The number of switchboard operators in Iowa	r=0.98	20yrs	363
Petroluem consumption in Greece	r=0.89	43yrs	361
US household spending on mortgage interest and charges	r=0.94	23yrs	360
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.95	22yrs	358
US household spending on prescription drugs	r=0.93	23yrs	358
US household spending on postage and stationery	r=0.92	23yrs	357
US household spending on vehicle insurance	r=0.92	23yrs	357
US household spending on fresh milk and cream	r=0.91	23yrs	356
Global Per Capita Rice Consumption	r=0.92	20yrs	354
The number of postmasters in Louisiana	r=0.98	20yrs	353
The divorce rate in Wyoming	r=0.93	23yrs	350
The number of postmasters in Maryland	r=0.98	20yrs	343
Physical album shipment volume in the United States	r=0.88	24yrs	342
Google searches for 'shook'	r=0.9	19yrs	342
The divorce rate in Kentucky	r=0.92	23yrs	338
The number of computer programmers in Michigan	r=0.97	20yrs	333
Gasoline pumped in Portugal	r=0.89	43yrs	331
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.95	22yrs	328
The divorce rate in North Carolina	r=0.91	23yrs	327
GMO use in cotton	r=0.9	23yrs	327
The number of postal service machine operators in Mississippi	r=0.98	20yrs	323
Petroluem consumption in Portugal	r=0.88	43yrs	320
The divorce rate in West Virginia	r=0.91	23yrs	317
Portion of all US dairy skim-solids allocated to the production of cottage cheese	r=0.93	22yrs	314
The number of postal service machine operators in Montana	r=0.98	20yrs	313
Gasoline pumped in Denmark	r=0.87	43yrs	308
GMO use in corn grown in Minnesota	r=0.95	23yrs	308
US average milk-fat content of cottage cheese	r=0.93	22yrs	304
The number of computer programmers in New York	r=0.97	20yrs	303
GMO use in corn	r=0.95	23yrs	298
Kerosene used in Malawi	r=0.87	42yrs	297
The number of postmasters in North Carolina	r=0.98	20yrs	293
US average milk-fat content of frozen dairy products	r=0.92	22yrs	293
Gasoline pumped in Greece	r=0.86	43yrs	286
GMO use in corn grown in Kansas	r=0.94	23yrs	286
The number of telemarketers in North Dakota	r=0.97	20yrs	283
Kerosene used in India	r=0.86	42yrs	276
GMO use in corn grown in Nebraska	r=0.94	23yrs	276
The divorce rate in Colorado	r=0.9	23yrs	276
The number of telemarketers in West Virginia	r=0.97	20yrs	273
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.9	22yrs	272
The divorce rate in Florida	r=0.9	23yrs	266
The number of postal service machine operators in West Virginia	r=0.98	20yrs	263
GMO use in corn grown in North Dakota	r=0.94	18yrs	261
US milk fat used to produce fluid beverage milk	r=0.88	22yrs	260
Nuclear power generation in Germany	r=0.86	31yrs	258
The divorce rate in Texas	r=0.89	23yrs	254
The number of postmasters in Alabama	r=0.97	20yrs	252
GMO use in corn grown in Iowa	r=0.9	23yrs	250
Fossil fuel use in North Macedonia	r=0.87	30yrs	248
US production of cottage cheese	r=0.86	22yrs	247
The divorce rate in Wisconsin	r=0.89	23yrs	244
The number of file clerks in Alabama	r=0.98	19yrs	242
GMO use in corn grown in Missouri	r=0.9	23yrs	240
Kerosene used in Eswatini	r=0.87	33yrs	238
US dairy skim solids used to produce cottage cheese	r=0.87	22yrs	237
The number of switchboard operators in Arizona	r=0.97	20yrs	232
The marriage rate in Alabama	r=0.89	23yrs	232
GMO use in corn grown in Texas	r=0.92	18yrs	228
Gasoline pumped in Slovenia	r=0.86	31yrs	224
The number of postal service machine operators in Arkansas	r=0.97	20yrs	222
The marriage rate in Alaska	r=0.89	23yrs	222
The number of prepress technicians and workers in Arkansas	r=0.97	20yrs	212
The marriage rate in Idaho	r=0.89	23yrs	212
Liquefied petroleum gas used in Greenland	r=0.9	22yrs	212
The number of motion picture projectionists in California	r=0.97	20yrs	202
The divorce rate in Alabama	r=0.88	23yrs	202
The divorce rate in Virginia	r=0.88	23yrs	192
The divorce rate in Washington	r=0.88	23yrs	182
The marriage rate in Wyoming	r=0.88	23yrs	171
The divorce rate in Maine	r=0.87	23yrs	161
The divorce rate in Oregon	r=0.87	23yrs	151

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^{What is Sys. Score?} 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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