Top variables that correlate with How geeky Tom Scott's YouTube video titles are

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Data source: AI analysis of Tom Scott's 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 geeky Tom Scott's YouTube video titles are correlates with...

Variable	Correlation	Years	Has img?
Popularity of the 'call me maybe' meme	r=0.93	12yrs	No
The number of adhesive bonding machine operators in Missouri	r=0.84	13yrs	No
Popularity of the 'bazinga' meme	r=0.76	15yrs	No

How geeky Tom Scott's YouTube video titles are also correlates with...

Variable	Correlation	Years	Sys. Score
Liquefied petroleum gas used in Israel	r=0.94	14yrs	370
Kerosene used in Panama	r=0.95	13yrs	370
Gasoline pumped in Bermuda	r=0.92	13yrs	366
The number of environmental engineers in District of Columbia	r=0.91	14yrs	346
The number of professional painters in Wyoming	r=0.9	14yrs	345
Popularity of the 'gangnam style' meme	r=0.91	12yrs	342
GMO use in corn grown in North Dakota	r=0.92	15yrs	335
GMO use in corn grown in Illinois	r=0.9	15yrs	332
The number of orderlies in Kentucky	r=0.92	11yrs	315
Zdeno Chara's Seasonal Total Goal Assists	r=0.88	14yrs	302
Air pollution in Huntington, Indiana	r=0.93	11yrs	300
Burglaries in Vermont	r=0.88	14yrs	290
Arson in New Hampshire	r=0.86	14yrs	286
Arson in New York	r=0.86	14yrs	286
The number of printing press operators in Puerto Rico	r=0.9	13yrs	284
Popularity of the first name Stacey	r=0.9	14yrs	284
Google searches for 'Gangnam Style'	r=0.87	12yrs	280
Popularity of the first name Hollie	r=0.88	14yrs	280
Popularity of the first name Iliana	r=0.88	14yrs	280
Hydopower energy generated in Algeria	r=0.88	13yrs	272
GMO use in corn grown in Indiana	r=0.89	15yrs	270
Brick cheese consumption	r=0.87	13yrs	267
Air pollution in Washington Court House, Ohio	r=0.89	14yrs	266
Air pollution in Grand Junction, Colorado	r=0.88	14yrs	265
Kerosene used in Romania	r=0.89	13yrs	261
Associates degrees awarded in Business and management	r=0.88	11yrs	260
Petroluem consumption in Israel	r=0.88	14yrs	250
Popularity of the first name Reese	r=0.87	14yrs	249
The number of mathematicians in Virginia	r=0.9	14yrs	246
Popularity of the first name Kenyatta	r=0.87	14yrs	239
GMO use in corn grown in South Dakota	r=0.88	15yrs	239
The number of bellhops in New Jersey	r=0.89	14yrs	235
GMO use in corn grown in Michigan	r=0.88	15yrs	229
The number of automotive service technicians and mechanics in New Jersey	r=0.9	14yrs	225
Petroluem consumption in Uruguay	r=0.86	13yrs	216
GMO use in corn	r=0.86	15yrs	216
The number of cartographers in Alabama	r=0.87	14yrs	212
Air pollution in Whitewater, Wisconsin	r=0.85	14yrs	210
Popularity of the first name Perla	r=0.85	14yrs	206
Jet fuel used in Belarus	r=0.85	13yrs	205
The number of film and video editors in Maryland	r=0.88	14yrs	202
The number of college sociology teachers in Missouri	r=0.88	14yrs	192
Customer satisfaction with FOXNews.com	r=0.84	12yrs	190
The number of postmasters in Montana	r=0.88	14yrs	182
Asthma prevalence in American children	r=0.81	11yrs	173
The number of procurement clerks in Nebraska	r=0.88	14yrs	172
The divorce rate in Missouri	r=0.81	13yrs	167
Number of edits to the Wikipedia article for Nikola Tesla	r=0.75	14yrs	167
Google searches for 'xkcd'	r=0.79	15yrs	166
Customer satisfaction with Whirlpool	r=0.77	13yrs	166
Viewership count of American Idol Season Finale	r=0.78	14yrs	166
Customer satisfaction with Target	r=0.76	12yrs	164
Asthma attacks in American children	r=0.74	11yrs	162
Asthma attacks in American children	r=0.74	11yrs	162
Asthma attacks in American children	r=0.74	11yrs	162
Asthma attacks in American children	r=0.74	11yrs	162
Number of edits to the Wikipedia article for Barbra Streisand	r=0.71	15yrs	162
The number of photographers in West Virginia	r=0.88	14yrs	162
Number of edits to the Wikipedia article for Availability heuristic	r=0.7	14yrs	160
Telefónica's stock price (TEF)	r=0.72	15yrs	159
Asthma prevalence in American children	r=0.71	11yrs	158
Cottage cheese consumption	r=0.83	13yrs	156
Asthma prevalence in American children	r=0.69	11yrs	155
The number of movies Christopher Lee appeared in	r=0.81	15yrs	155
The number of training and development managers in Rhode Island	r=0.88	14yrs	152
The number of adhesive bonding machine operators in Tennessee	r=0.89	13yrs	142
Burglary rates in the US	r=0.79	14yrs	141
The number of athletes and sports competitors in Michigan	r=0.88	13yrs	131
Air pollution in Atlanta	r=0.85	15yrs	120
The number of floral designers in Arkansas	r=0.87	14yrs	120
Burglaries in Illinois	r=0.83	14yrs	117
The number of psychiatric aides in Mississippi	r=0.87	14yrs	110
Arson in Ohio	r=0.82	14yrs	106
The number of library technicians in New Jersey	r=0.87	14yrs	100
GMO use in corn grown in Illinois	r=0.84	15yrs	98
Arson in Ohio	r=0.82	14yrs	96
The number of bellhops in Washington	r=0.86	14yrs	90
Fossil fuel use in Greece	r=0.82	13yrs	88
Arson in Wyoming	r=0.82	14yrs	86
GMO use in cotton	r=0.84	14yrs	84
Kerosene used in Japan	r=0.83	14yrs	78
Burglaries in New Jersey	r=0.82	14yrs	76
Petroluem consumption in Afghanistan	r=0.83	13yrs	67
Robberies in Maine	r=0.82	14yrs	66
Liquefied petroleum gas used in Kosovo	r=0.83	13yrs	57
Arson in Indiana	r=0.81	14yrs	54
Kerosene used in Madagascar	r=0.82	13yrs	46
Burglaries in Maine	r=0.81	14yrs	44
Petroluem consumption in Puerto Rico	r=0.82	13yrs	36
Burglaries in Michigan	r=0.81	14yrs	34
Kerosene used in Rwanda	r=0.82	13yrs	26
Burglaries in Ohio	r=0.81	14yrs	24
Burglaries in Oregon	r=0.81	14yrs	14
Kerosene used in Iran	r=0.8	13yrs	12
Burglaries in Arkansas	r=0.81	14yrs	4
Kerosene used in Israel	r=0.78	14yrs	0
Burglaries in California	r=0.81	14yrs	-6
Petroluem consumption in Netherlands	r=0.78	14yrs	-10
Burglaries in Wisconsin	r=0.81	14yrs	-16

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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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