Top variables that correlate with How nerdy SmarterEveryDay YouTube video titles are

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Data source: AI analysis of SmarterEveryDay YouTube video titles
Additional Info: ^{See full details} I asked a large language model, 'On a scale of 1-10, how _______ do you think this YouTube video title is?' for every video.

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How nerdy SmarterEveryDay YouTube video titles are correlates with...

Variable	Correlation	Years	Has img?
Deepest snow depth in Dallas	r=0.37	16yrs	Yes!

How nerdy SmarterEveryDay YouTube video titles are also correlates with...

Variable	Correlation	Years	Sys. Score
The number of credit counselors in Maryland	r=0.86	13yrs	258
Air pollution in Silver City, New Mexico	r=0.9	8yrs	257
Deepest snow depth in Fort Worth	r=0.87	9yrs	242
Goals Scored by Winning Team in Stanley Cup Finals	r=0.82	7yrs	163
Number of edits to the Wikipedia article for Dunning Kruger effect	r=0.7	16yrs	162
The number of movies Katharine Hepburn appeared in	r=0.73	17yrs	145
Number of times 9 was a winning Mega Millions number	r=0.59	14yrs	142
Google searches for 'cia hotline'	r=0.55	17yrs	140
Automotive recalls for issues with the Seats	r=0.58	16yrs	139
Career regular season goals scored by Sidney Crosby	r=0.71	16yrs	138
The number of orderlies in Georgia	r=0.83	11yrs	132
The number of nursing assistants in North Carolina	r=0.83	11yrs	132
The marriage rate in New Hampshire	r=0.67	15yrs	132
Snow days in Charlotte	r=0.82	10yrs	130
Popularity of the 'Maps Without New Zealand' meme	r=0.58	17yrs	128
Geothermal power generated in Thailand	r=0.62	15yrs	126
Kerosene used in Belize	r=0.64	15yrs	126
Petroluem consumption in Hong Kong	r=0.64	15yrs	126
Google searches for 'inception'	r=0.61	15yrs	124
Popularity of the 'fidget spinner' meme	r=0.65	7yrs	118
Automotive recalls issued by Keystone RV Company	r=0.46	16yrs	116
Customer satisfaction with Whole Foods	r=0.5	14yrs	116
Customer satisfaction with Sprint	r=0.49	14yrs	115
Customer satisfaction with Macy's	r=0.48	14yrs	114
Air pollution in Arkadelphia, Arkansas	r=0.85	7yrs	114
Season wins for the Detroit Lions	r=0.53	17yrs	112
The marriage rate in New Mexico	r=0.54	15yrs	112
Master's degrees awarded in Engineering	r=0.68	10yrs	111
Annual growth rate of US Real GDP	r=0.52	16yrs	110
Trip.com Group's stock price (TCOM)	r=0.45	17yrs	110
Customer satisfaction with USATODAY.com	r=0.45	15yrs	110
The number of movies Zoe Saldana appeared in	r=0.59	17yrs	109
The number of movies Matt Damon appeared in	r=0.57	17yrs	106
Total value of all $20 bills printed	r=0.59	16yrs	105
US Barley Production Volume	r=-0.76	16yrs	103
Popularity of the 'harambe' meme	r=0.54	8yrs	102
The number of preschool special education teachers in Kentucky	r=0.82	11yrs	100
Total seasons Darren Fletcher played for Manchester United	r=0.52	13yrs	97
Runs scored by the Cincinnati Reds	r=0.47	17yrs	95
Air pollution in Salisbury, Maryland	r=0.79	6yrs	94
VMware's stock price (VMW)	r=-0.64	13yrs	93
Popularity of the first name Romello	r=0.55	16yrs	93
Number of Earthquakes in the United States	r=0.76	6yrs	93
Google searches for 'boujee'	r=0.51	8yrs	92
Popularity of the first name Jayde	r=0.54	16yrs	92
Popularity of the first name Menachem	r=0.54	16yrs	92
Renewable energy production in Uzbekistan	r=0.59	15yrs	91
The number of atmospheric and space scientists in South Dakota	r=0.8	12yrs	88
Drenching rain in Paris	r=0.61	14yrs	83
Hydopower energy generated in Uzbekistan	r=0.59	15yrs	81
The number of preschool special education teachers in Arkansas	r=0.8	11yrs	77
The number of movies David Wenham appeared in	r=0.56	16yrs	74
Petroluem consumption in U.S. Pacific Islands	r=0.6	15yrs	70
Snowy days in Dallas	r=0.75	8yrs	68
The number of middle school teachers in Minnesota	r=0.78	13yrs	66
Air pollution in Kingston, New York	r=0.78	6yrs	62
The number of movies Anthony Hopkins appeared in	r=0.53	17yrs	60
Hydopower energy generated in New Zealand	r=0.57	15yrs	58
Drenching rain in Perth	r=0.55	16yrs	56
The number of MRI technicians in Iowa	r=0.79	11yrs	56
The number of movies Ralph Fiennes appeared in	r=0.53	17yrs	50
Gasoline pumped in U.S. Pacific Islands	r=0.59	15yrs	48
The number of exercise physiologists in Massachusetts	r=0.79	11yrs	46
Kerosene used in U.S. Pacific Islands	r=0.59	15yrs	38
Snowy days in Charlotte	r=0.63	12yrs	34
The number of movies Ewan McGregor appeared in	r=0.49	17yrs	34
The number of nurse anesthetists in Texas	r=0.78	11yrs	34
Hydopower energy generated in Georgia	r=0.55	15yrs	25
Freezing temperatures in Jacksonville	r=0.63	12yrs	24
The number of movies Orlando Bloom appeared in	r=0.49	17yrs	24
The number of middle school teachers in South Dakota	r=0.76	13yrs	23
Renewable energy production in Azerbaijan	r=0.54	15yrs	14
Drenching rain in San Antonio	r=0.6	16yrs	14
The number of movies Ryan Gosling appeared in	r=0.49	17yrs	14
The number of printing press operators in Hawaii	r=0.75	13yrs	12
Fossil fuel use in Saint Lucia	r=0.54	15yrs	4
The wind speed in Washington, D.C.	r=0.58	17yrs	2
The number of wastewater treatment plant operators in Nebraska	r=0.75	13yrs	2
Electricity generation in Saint Lucia	r=0.53	15yrs	-8
The number of event planners in Wyoming	r=0.76	11yrs	-9
Drenching rain in Austin	r=0.58	16yrs	-10
Hydopower energy generated in Uruguay	r=0.53	15yrs	-18
The number of computer network support specialists in South Carolina	r=0.75	11yrs	-20
Hot days in Charlotte	r=0.58	16yrs	-20
The number of college psychology teachers in Oregon	r=0.72	15yrs	-31
Kerosene used in Argentina	r=0.53	15yrs	-31
The wind speed in San Diego	r=0.57	16yrs	-31
Liquefied petroleum gas used in Argentina	r=0.53	15yrs	-41
The number of statisticians in Oklahoma	r=0.7	16yrs	-42
Hot days in New York	r=0.54	16yrs	-46
Jet fuel used in Guinea	r=0.53	15yrs	-51
The number of special education teachers in Connecticut	r=0.74	11yrs	-52
Snowfall in New York	r=0.54	16yrs	-56
The number of orderlies in Louisiana	r=0.74	11yrs	-62
Petroluem consumption in Fiji	r=0.52	15yrs	-62
Average temperature in Toronto	r=0.47	15yrs	-67
The number of phlebotomists in Nevada	r=0.73	11yrs	-72
Gasoline pumped in Saint Helena	r=0.52	15yrs	-72
Hot days in Nashville	r=0.52	17yrs	-78
Petroluem consumption in Norway	r=0.5	16yrs	-84

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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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