Top variables that correlate with Popularity of the first name Bernard

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Venezuela	r=0.97	42yrs	432
Carjackings in the US	r=0.96	27yrs	424
Burglaries in New York	r=0.99	38yrs	420
The distance between Neptune and Earth	r=0.95	48yrs	418
The distance between Neptune and Mercury	r=0.95	48yrs	418
The distance between Neptune and the moon	r=0.95	48yrs	418
Burglaries in California	r=0.98	38yrs	418
Physical album shipment volume in the United States	r=0.96	24yrs	414
The marriage rate in Nevada	r=0.95	23yrs	412
Viewership count for Days of Our Lives	r=0.92	47yrs	406
Remaining Forest Cover in the Brazilian Amazon	r=0.95	36yrs	400
Kerosene used in Turkiye	r=0.95	43yrs	400
Air pollution in Los Angeles	r=0.96	43yrs	399
Air pollution in Los Angeles	r=0.96	43yrs	399
Kerosene used in Argentina	r=0.95	42yrs	399
Air pollution in San Diego, California	r=0.97	43yrs	398
AIG's stock price (AIG)	r=0.91	21yrs	394
Lloyds Banking Group's stock price (LYG)	r=0.91	21yrs	394
The number of CEOs in Alabama	r=0.96	20yrs	392
The number of brickmasons in Iowa	r=0.96	20yrs	390
The number of compensation and benefits managers in Idaho	r=0.97	19yrs	390
Arson in New York	r=0.97	38yrs	387
Average number of milk cows in the United States	r=0.88	43yrs	384
US birth rates of triplets or more	r=0.92	20yrs	382
The marriage rate in Wyoming	r=0.95	23yrs	382
The divorce rate in Alabama	r=0.94	23yrs	382
The wind speed in San Diego	r=0.95	39yrs	379
Frozen yogurt consumption	r=0.95	32yrs	378
Google searches for 'learn spanish'	r=0.94	19yrs	378
The wind speed in Austin	r=0.94	39yrs	378
Burglaries in Connecticut	r=0.97	38yrs	377
US milk fat used to produce fluid beverage milk	r=0.92	22yrs	376
The wind speed in Nashville	r=0.92	39yrs	374
Google searches for 'black holes'	r=0.91	19yrs	373
Kerosene used in Cuba	r=0.95	42yrs	369
Motor vehicle thefts in Massachusetts	r=0.97	38yrs	367
Air pollution in Oxnard, California	r=0.97	41yrs	366
Customer satisfaction with Verizon	r=0.86	28yrs	364
Citigroup's stock price (C)	r=0.88	21yrs	359
Gasoline pumped in Bulgaria	r=0.94	42yrs	358
The distance between Neptune and the Sun	r=0.95	48yrs	358
The number of floral designers in Virginia	r=0.95	20yrs	358
Robberies in Oregon	r=0.97	38yrs	357
Air pollution in San Diego, California	r=0.96	43yrs	356
The marriage rate in Idaho	r=0.94	23yrs	350
Gasoline pumped in Cuba	r=0.94	42yrs	348
Robberies in New York	r=0.96	38yrs	346
The marriage rate in Tennessee	r=0.94	23yrs	340
Kerosene used in Thailand	r=0.94	42yrs	338
Burglaries in Colorado	r=0.95	38yrs	334
The marriage rate in Arkansas	r=0.93	23yrs	328
Gasoline pumped in France	r=0.93	43yrs	327
Motor vehicle thefts in New Jersey	r=0.95	38yrs	324
The divorce rate in North Carolina	r=0.92	23yrs	318
The number of switchboard operators in Delaware	r=0.95	20yrs	318
Kerosene used in Mexico	r=0.94	40yrs	316
Air pollution in Riverside, California	r=0.94	43yrs	313
The divorce rate in Tennessee	r=0.92	23yrs	308
The number of CEOs in Kentucky	r=0.94	20yrs	308
Kerosene used in Uruguay	r=0.93	42yrs	306
Arson in United States	r=0.94	38yrs	302
Air pollution in Oxnard, California	r=0.93	43yrs	302
The number of bill collectors in Maryland	r=0.94	20yrs	298
The marriage rate in Arizona	r=0.92	23yrs	297
Petroluem consumption in Romania	r=0.92	42yrs	294
Burglary rates in the US	r=0.94	38yrs	292
Air pollution in New York City	r=0.9	43yrs	290
The number of travel agents in Minnesota	r=0.95	20yrs	288
The marriage rate in Ohio	r=0.92	23yrs	287
Kerosene used in Brazil	r=0.91	42yrs	283
The number of telemarketers in New Jersey	r=0.94	20yrs	278
The marriage rate in South Dakota	r=0.92	23yrs	277
Kerosene used in Ecuador	r=0.91	42yrs	273
The number of switchboard operators in New Jersey	r=0.95	20yrs	268
The marriage rate in Virginia	r=0.92	23yrs	267
Burglaries in Florida	r=0.95	38yrs	264
Kerosene used in Egypt	r=0.91	42yrs	263
The number of postal service machine operators in New Jersey	r=0.95	20yrs	258
The marriage rate in Kentucky	r=0.9	23yrs	254
Gasoline pumped in Somalia	r=0.91	42yrs	253
Arson in California	r=0.94	38yrs	252
The number of chemical plant and system operators in New Jersey	r=0.95	20yrs	248
The marriage rate in South Carolina	r=0.9	23yrs	244
Petroluem consumption in Bulgaria	r=0.9	42yrs	242
Arson in Colorado	r=0.94	38yrs	242
The number of postal service machine operators in New York	r=0.95	20yrs	238
Burglaries in Minnesota	r=0.94	38yrs	232
The number of typists in New York	r=0.95	20yrs	228
Jet fuel used in Ukraine	r=0.94	30yrs	226
Burglaries in New Jersey	r=0.94	38yrs	222
The number of floral designers in North Carolina	r=0.95	20yrs	218
Burglaries in Oregon	r=0.94	38yrs	212
Petroluem consumption in Ukraine	r=0.92	30yrs	212
The number of carpenters in Ohio	r=0.95	20yrs	208
Burglaries in Rhode Island	r=0.94	38yrs	202
Petroluem consumption in Azerbaijan	r=0.91	30yrs	201
The number of brickmasons in South Carolina	r=0.95	20yrs	198
Burglaries in Texas	r=0.94	38yrs	192
Petroluem consumption in Uzbekistan	r=0.9	30yrs	190
The number of data entry keyers in Washington	r=0.95	20yrs	188
The number of postal service machine operators in District of Columbia	r=0.95	19yrs	178

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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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