Top variables that correlate with Popularity of the first name Mallory

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

Variable	Correlation	Years	Has img?
Google searches for 'report UFO sighting'	r=0.94	19yrs	No

Popularity of the first name Mallory also correlates with...

Variable	Correlation	Years	Sys. Score
Milk consumption	r=0.95	32yrs	410
Google searches for 'desktop background'	r=0.98	16yrs	410
United States music album sales	r=0.98	16yrs	409
Burglary rates in the US	r=0.9	38yrs	396
The number of bill collectors in Colorado	r=0.98	20yrs	394
The number of bill collectors in Maryland	r=0.97	20yrs	393
The number of computer programmers in Michigan	r=0.97	20yrs	393
Nuclear power generation in Germany	r=0.92	31yrs	386
US birth rates of triplets or more	r=0.94	20yrs	384
Associates degrees awarded in Legal professions and studies	r=0.97	11yrs	384
Bachelor's degrees awarded in linguistics	r=0.97	10yrs	384
Master's degrees awarded in literature	r=0.97	10yrs	384
Gasoline pumped in Latvia	r=0.92	31yrs	384
U.S. intercountry adoptions	r=0.95	23yrs	382
Burglaries in Oklahoma	r=0.93	38yrs	381
Burglaries in Oregon	r=0.93	38yrs	381
The divorce rate in Arkansas	r=0.93	23yrs	380
Google searches for 'oprah winfrey'	r=0.95	19yrs	379
GMO use in corn grown in Texas	r=0.98	18yrs	377
The marriage rate in Alaska	r=0.92	23yrs	377
The divorce rate in Kentucky	r=0.91	23yrs	377
Viewership count of American Idol Season Finale	r=0.9	21yrs	376
Google searches for 'learn spanish'	r=0.93	19yrs	376
Cigarette Smoking Rate for US adults	r=0.91	21yrs	374
Pirate attacks globally	r=0.93	14yrs	374
Sherbet consumption	r=0.92	32yrs	374
Cottage cheese consumption	r=0.9	32yrs	370
US music album sales	r=0.9	16yrs	367
Gasoline pumped in Kosovo	r=0.92	14yrs	366
The number of telemarketers in New York	r=0.97	20yrs	363
US household spending on postage and stationery	r=0.95	23yrs	362
Remaining Forest Cover in the Brazilian Amazon	r=0.87	36yrs	358
GMO use in cotton	r=0.9	23yrs	357
Popularity of the 'harambe' meme	r=0.97	7yrs	356
US household spending on fresh milk and cream	r=0.9	23yrs	354
The number of bill collectors in Wyoming	r=0.97	20yrs	353
Associates degrees awarded in Accounting	r=0.96	11yrs	352
Burglaries in Washington	r=0.93	38yrs	351
GMO use in corn	r=0.95	23yrs	348
Google searches for 'black holes'	r=0.92	19yrs	344
The number of switchboard operators in Alabama	r=0.97	20yrs	342
Associates degrees awarded in Visual and performing arts	r=0.96	11yrs	342
Physical album shipment volume in the United States	r=0.88	24yrs	342
Arson in Oklahoma	r=0.92	38yrs	340
Liquefied petroleum gas used in Kosovo	r=0.91	14yrs	335
Google searches for 'panama canal'	r=0.91	19yrs	333
The number of prepress technicians and workers in Arkansas	r=0.97	20yrs	332
Burglaries in Idaho	r=0.92	38yrs	330
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.94	22yrs	326
The number of telemarketers in California	r=0.96	20yrs	322
Google searches for 'snoop dog'	r=0.9	19yrs	322
Burglaries in Michigan	r=0.92	38yrs	320
GMO use in corn grown in Minnesota	r=0.94	23yrs	316
The divorce rate in Mississippi	r=0.9	23yrs	316
The number of switchboard operators in Maryland	r=0.97	20yrs	312
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.91	22yrs	312
Burglaries in Minnesota	r=0.91	38yrs	308
Fossil fuel use in Slovakia	r=0.87	29yrs	307
GMO use in corn grown in Nebraska	r=0.94	23yrs	306
The divorce rate in Colorado	r=0.89	23yrs	304
The number of CEOs in Massachusetts	r=0.97	19yrs	302
US average milk-fat content of cottage cheese	r=0.91	22yrs	302
Bachelor's degrees awarded in literature	r=0.95	10yrs	302
Burglaries in Texas	r=0.91	38yrs	298
Petroluem consumption in Germany	r=0.87	32yrs	297
GMO use in cotton in Texas	r=0.95	23yrs	294
The divorce rate in Idaho	r=0.89	23yrs	294
The number of file clerks in Massachusetts	r=0.97	20yrs	292
Associates degrees awarded in Business operations	r=0.95	11yrs	291
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.9	22yrs	290
Burglaries in Colorado	r=0.91	38yrs	288
The divorce rate in North Carolina	r=0.89	23yrs	284
Gasoline pumped in Slovenia	r=0.86	31yrs	284
GMO use in corn grown in Iowa	r=0.92	23yrs	283
The number of CEOs in Michigan	r=0.96	20yrs	282
Google searches for 'Panama Canal'	r=0.9	19yrs	282
Burglaries in Iowa	r=0.9	38yrs	276
The divorce rate in Wyoming	r=0.89	23yrs	274
US production of fluid beverage milk	r=0.9	22yrs	273
GMO use in corn grown in Missouri	r=0.92	23yrs	273
The number of file clerks in Minnesota	r=0.97	20yrs	272
Burglaries in Wyoming	r=0.9	38yrs	266
The number of bill collectors in Montana	r=0.96	20yrs	262
US production of cottage cheese	r=0.89	22yrs	262
GMO use in corn grown in Illinois	r=0.91	23yrs	262
The number of postal service machine operators in Nebraska	r=0.97	20yrs	252
GMO use in corn grown in Wisconsin	r=0.91	23yrs	252
Arson in United States	r=0.88	38yrs	244
The number of typists in New Jersey	r=0.97	20yrs	242
The number of conveyor operators in New Jersey	r=0.97	20yrs	232
Arson in Iowa	r=0.91	22yrs	232
The number of brokerage clerks in New York	r=0.97	20yrs	222
The number of payroll and timekeeping clerks in North Carolina	r=0.97	20yrs	212
Robberies in Michigan	r=0.9	38yrs	206
The number of switchboard operators in Oklahoma	r=0.97	20yrs	202
Burglaries in Florida	r=0.89	38yrs	195
Burglaries in Nebraska	r=0.89	38yrs	185
Burglaries in Nevada	r=0.89	38yrs	175
Burglaries in Arizona	r=0.89	38yrs	165
Burglaries in New Mexico	r=0.89	38yrs	155

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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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