Top variables that correlate with Popularity of the first name Arnold

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

Variable	Correlation	Years	Has img?
Motor vehicle thefts	r=0.97	38yrs	No
Violent crime rates	r=0.96	38yrs	No
US household spending on beef	r=0.92	23yrs	No
The distance between Neptune and the moon	r=0.9	48yrs	No
Disney movies released	r=0.9	23yrs	No
The distance between Neptune and Mercury	r=0.87	48yrs	No
The marriage rate in Virginia	r=0.87	23yrs	No
Ticket sales for Arizona Diamondbacks games	r=0.85	22yrs	No
Google searches for 'Baroque Obama'	r=0.69	19yrs	No

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

Variable	Correlation	Years	Sys. Score
NASA's budget as a percentage of the total US Federal Budget	r=0.95	48yrs	442
Remaining Forest Cover in the Brazilian Amazon	r=0.95	36yrs	430
Petroluem consumption in Uzbekistan	r=0.95	30yrs	417
Motor vehicle thefts in Pennsylvania	r=0.97	38yrs	417
Gasoline pumped in France	r=0.94	43yrs	398
Gasoline pumped in Austria	r=0.93	43yrs	397
The number of fiberglass laminators and fabricators in North Carolina	r=0.97	20yrs	392
The number of surveying and mapping technicians in Michigan	r=0.96	20yrs	390
Robberies in Texas	r=0.96	38yrs	386
Physical album shipment volume in the United States	r=0.91	24yrs	376
The marriage rate in Nevada	r=0.9	23yrs	374
Motor vehicle thefts in Florida	r=0.95	38yrs	374
US milk fat used to produce fluid beverage milk	r=0.9	22yrs	373
Cottage cheese consumption	r=0.9	32yrs	370
Viewership count for Days of Our Lives	r=0.87	47yrs	368
Gasoline pumped in Belgium	r=0.92	43yrs	366
The number of professional painters in Michigan	r=0.95	20yrs	358
Kerosene used in Egypt	r=0.9	42yrs	352
The distance between Neptune and Earth	r=0.9	48yrs	350
The distance between Neptune and the Sun	r=0.9	48yrs	350
Robberies in the US	r=0.92	38yrs	350
The divorce rate in Alabama	r=0.89	23yrs	344
The marriage rate in Tennessee	r=0.9	23yrs	344
GMO use in cotton in North Carolina	r=0.94	23yrs	343
The wind speed in Austin	r=0.9	39yrs	342
GMO use in corn grown in South Dakota	r=0.91	23yrs	342
The wind speed in San Diego	r=0.89	39yrs	340
Frozen yogurt consumption	r=0.89	32yrs	339
Gasoline pumped in Germany	r=0.95	32yrs	339
US Hospital Occupancy Rate	r=0.87	18yrs	334
China's Rare Earth Element Export Volume	r=0.92	11yrs	332
The number of obstetricians and gynecologists in Alabama	r=0.94	20yrs	327
Air pollution in Riverside, California	r=0.89	43yrs	326
Air pollution in Oxnard, California	r=0.89	43yrs	326
Air pollution in Santa Maria, California	r=0.88	43yrs	324
Motor vehicle thefts in New Jersey	r=0.95	38yrs	324
The wind speed in Los Angeles	r=0.89	22yrs	323
US household spending on books	r=0.89	23yrs	322
US household spending on pork	r=0.87	23yrs	320
The number of advertising and promotions managers in Florida	r=0.94	20yrs	317
Motor vehicle thefts in Virginia	r=0.95	38yrs	314
The marriage rate in Utah	r=0.89	23yrs	312
Milk consumption	r=0.87	32yrs	308
The number of sewing machine operators in North Carolina	r=0.94	20yrs	307
The marriage rate in Wyoming	r=0.89	23yrs	302
Arson in Texas	r=0.94	38yrs	302
Gasoline pumped in United Kingdom	r=0.89	43yrs	301
The number of advertising and promotions managers in Alabama	r=0.93	20yrs	296
Motor vehicle thefts in Ohio	r=0.94	38yrs	292
Air pollution in Santa Maria, California	r=0.86	42yrs	290
The marriage rate in Arkansas	r=0.87	23yrs	290
Fossil fuel use in Sierra Leone	r=0.87	42yrs	290
The number of prepress technicians and workers in Kansas	r=0.93	20yrs	286
Motor vehicle thefts in Texas	r=0.94	38yrs	282
The marriage rate in Idaho	r=0.87	23yrs	280
Kerosene used in Argentina	r=0.89	42yrs	280
The number of foresters in Montana	r=0.93	20yrs	276
Motor vehicle thefts in Texas	r=0.94	38yrs	272
Kerosene used in Thailand	r=0.89	42yrs	270
The number of sheet metal workers in Ohio	r=0.93	20yrs	266
Motor vehicle thefts in Texas	r=0.94	38yrs	262
The marriage rate in New Hampshire	r=0.86	23yrs	258
Kerosene used in Pakistan	r=0.88	42yrs	258
The number of obstetricians and gynecologists in Pennsylvania	r=0.93	20yrs	256
Carjackings in the US	r=0.88	27yrs	252
Motor vehicle thefts in Illinois	r=0.94	38yrs	252
Customer satisfaction with Verizon	r=0.8	28yrs	250
The marriage rate in Ohio	r=0.86	23yrs	248
Kerosene used in Peru	r=0.86	42yrs	246
The number of chemical engineers in New Mexico	r=0.94	18yrs	245
Motor vehicle thefts in New York	r=0.93	38yrs	241
The marriage rate in South Carolina	r=0.86	23yrs	238
Kerosene used in Syria	r=0.86	42yrs	236
The number of budget analysts in Arizona	r=0.92	20yrs	234
Robberies in Illinois	r=0.93	38yrs	231
The divorce rate in Tennessee	r=0.85	23yrs	228
Kerosene used in North Korea	r=0.85	42yrs	224
The number of CEOs in California	r=0.91	20yrs	224
Burglaries in District of Columbia	r=0.92	38yrs	220
The divorce rate in Utah	r=0.85	23yrs	218
The number of CEOs in Delaware	r=0.91	20yrs	214
Motor vehicle thefts in Massachusetts	r=0.92	38yrs	210
Petroluem consumption in Germany	r=0.88	32yrs	208
The number of amusement park attendants in Minnesota	r=0.92	20yrs	204
Motor vehicle thefts in New Hampshire	r=0.92	38yrs	200
The number of mobile heavy equipment mechanics in New York	r=0.92	20yrs	194
Jet fuel used in Ukraine	r=0.85	30yrs	192
Motor vehicle thefts in Tennessee	r=0.92	38yrs	190
The number of professional painters in Pennsylvania	r=0.92	20yrs	184
Liquefied petroleum gas used in Greenland	r=0.86	22yrs	176
The number of telephone operators in Texas	r=0.93	19yrs	174
The number of prepress technicians and workers in Alabama	r=0.91	20yrs	162
Petroluem consumption in Italy	r=0.82	48yrs	80

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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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