Top variables that correlate with How good Casually Explained YouTube video titles are

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Data source: AI analysis of 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 good Casually Explained YouTube video titles are correlates with...

Variable	Correlation	Years	Has img?
The number of university economics teachers in Ohio	r=0.87	8yrs	No
The distance between Jupiter and Mars	r=0.55	9yrs	No
The distance between Mars and the Sun	r=0.5	9yrs	No

How good Casually Explained YouTube video titles are also correlates with...

Variable	Correlation	Years	Sys. Score
Global count of operating nuclear power plants	r=0.97	8yrs	370
Air quality in Harrison, Arkansas	r=1	9yrs	368
GMO use in cotton in Mississippi	r=1	8yrs	367
The number of boiler operators in Nebraska	r=0.96	8yrs	328
The number of machinists in Nebraska	r=0.96	8yrs	328
The number of legislators in Connecticut	r=0.95	8yrs	328
Number of Walmart stores worldwide	r=0.93	8yrs	316
Customer satisfaction with Sam's Club	r=0.91	6yrs	315
Patents granted to International Business Machines	r=0.93	8yrs	314
The number of bailiffs in New York	r=0.95	8yrs	298
Rain in Toronto	r=0.92	6yrs	296
Jet fuel used in El Salvador	r=0.93	7yrs	296
Hydopower energy generated in Togo	r=0.9	7yrs	294
Popularity of the first name Jacklyn	r=0.94	8yrs	294
Petroluem consumption in Bermuda	r=0.91	7yrs	293
Popularity of the first name Aliza	r=0.93	8yrs	292
Customer satisfaction with Kohl's	r=0.86	6yrs	278
The wind speed in Phoenix	r=0.91	7yrs	276
The number of paralegals in Arizona	r=0.96	6yrs	272
Gasoline pumped in Mauritius	r=0.91	7yrs	263
Patents granted to Hewlett Packard	r=0.88	8yrs	261
Rain in Toronto	r=0.88	6yrs	260
Air quality in New Castle, Pennsylvania	r=0.91	8yrs	258
Total Revenue of the NFL Teams	r=0.87	6yrs	258
Gasoline pumped in Sri Lanka	r=0.9	7yrs	252
Muenster cheese consumption	r=0.9	7yrs	250
Motor vehicle thefts in South Carolina	r=0.86	8yrs	246
The number of correctional officers and jailers in Tennessee	r=0.94	8yrs	245
Air pollution in New Haven, Connecticut	r=0.9	9yrs	243
Popularity of the first name Ishmael	r=0.9	8yrs	242
US household spending on laundry and cleaning supplies	r=0.86	8yrs	238
The number of janitors and cleaners in Delaware	r=0.93	8yrs	234
The number of postal service mail carriers in Minnesota	r=0.93	8yrs	224
Restaurant spending in Washington	r=0.89	6yrs	222
Restaurant spending in Idaho	r=0.88	6yrs	220
Food spending in Idaho	r=0.9	6yrs	220
The number of office clerks in North Carolina	r=0.93	8yrs	214
Wind power generated in Panama	r=0.88	7yrs	212
Popularity of the first name Sonja	r=0.85	8yrs	205
The number of farm equipment mechanics in Colorado	r=0.93	8yrs	204
Kerosene used in Canada	r=0.89	8yrs	201
Air quality in Los Alamos, New Mexico	r=0.87	8yrs	192
Number of edits to the Wikipedia article for Charles III	r=-0.99	8yrs	192
Restaurant spending in New Hampshire	r=0.88	6yrs	190
Gasoline pumped in Bermuda	r=0.89	7yrs	190
Restaurant spending in Virginia	r=0.88	6yrs	180
Petroluem consumption in Uzbekistan	r=0.89	7yrs	180
The number of fiberglass laminators and fabricators in California	r=0.92	8yrs	177
Customer satisfaction with Target	r=0.84	6yrs	170
Google searches for 'Johnny Depp'	r=-0.98	9yrs	170
Brad Pitt's net worth	r=-1	8yrs	170
Restaurant spending in Arizona	r=0.87	6yrs	169
Greece's annual import volume	r=-1	8yrs	169
Customer satisfaction with T-Mobile	r=0.82	7yrs	168
Customer satisfaction with Macy's	r=0.83	6yrs	168
Automotive recalls issued by Honda	r=0.8	8yrs	168
Electricity generation in Cyprus	r=0.86	7yrs	168
The number of detectives and criminal investigators in Connecticut	r=0.92	8yrs	167
Restaurant spending in Kentucky	r=0.87	6yrs	159
Fossil fuel use in Rwanda	r=0.86	7yrs	158
The number of bill collectors in Idaho	r=0.91	8yrs	157
The number of movies Gregory Peck appeared in	r=-1	8yrs	156
Automotive recalls for issues with the Air Bags	r=0.74	8yrs	155
Number of times a donut appears in a Garfield comic strip	r=-1	8yrs	154
Customer satisfaction with Costco	r=0.8	6yrs	154
Customer satisfaction with Walmart	r=0.77	6yrs	149
Restaurant spending in Minnesota	r=0.87	6yrs	149
Age of US Open Tennis Champions (Men's Singles)	r=0.84	8yrs	148
Petroluem consumption in Palestinian Territories	r=0.88	7yrs	148
The number of microbiologists in Minnesota	r=0.91	8yrs	147
Number of Scooby Doo direct-to-video films released	r=0.76	8yrs	144
Global Commercial Vehicle Production	r=0.8	7yrs	143
Customer satisfaction with Whole Foods	r=0.72	6yrs	142
Customer satisfaction with HP	r=0.72	7yrs	142
Customer satisfaction with Rite Aid	r=0.72	6yrs	142
UK Music Album Sales	r=0.79	7yrs	142
Restaurant spending in Maryland	r=0.86	6yrs	138
Petroluem consumption in Paraguay	r=0.88	7yrs	138
Number of edits to the Wikipedia article for begging the question	r=0.65	9yrs	137
The number of butchers in Washington	r=0.92	8yrs	137
Restaurant spending in Vermont	r=0.86	6yrs	128
Gasoline pumped in Rwanda	r=0.88	7yrs	128
The number of blender tenders in Wisconsin	r=0.92	8yrs	127
Restaurant spending in Wyoming	r=0.86	6yrs	118
The number of umpires and referees in Kentucky	r=0.92	8yrs	117
Gasoline pumped in El Salvador	r=0.86	7yrs	116
Restaurant spending in Colorado	r=0.85	6yrs	106
Kerosene used in Saint Kitts and Nevis	r=0.86	7yrs	106
The number of court and municipal clerks in Alaska	r=0.91	8yrs	106
Restaurant spending in Indiana	r=0.85	6yrs	96
The number of meter readers, utilities in Florida	r=0.91	8yrs	96
Jet fuel used in Qatar	r=0.85	7yrs	94
Restaurant spending in Montana	r=0.85	6yrs	86
The number of correctional officers and jailers in North Carolina	r=0.91	8yrs	86
Restaurant spending in South Dakota	r=0.85	6yrs	76
Food spending in Arizona	r=0.86	6yrs	64
Food spending in Hawaii	r=0.86	6yrs	54
Food spending in Washington	r=0.86	6yrs	44
Liquefied petroleum gas used in United States	r=-1	8yrs	-2
Fossil fuel use in Cyprus	r=0.84	7yrs	-30
Fossil fuel use in Sudan	r=0.83	7yrs	-41

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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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