Top variables that correlate with How 'hip and with it' SciShow Space 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 'hip and with it' SciShow Space YouTube video titles are correlates with...

Variable	Correlation	Years	Has img?
Rain in Detroit	r=0.9	8yrs	No
Points scored by the New Orleans Saints	r=0.88	10yrs	No
Popularity of the 'press f to pay respects' meme	r=0.87	10yrs	No

How 'hip and with it' SciShow Space YouTube video titles are also correlates with...

Variable	Correlation	Years	Sys. Score
The number of statisticians in Illinois	r=0.98	9yrs	384
The number of title examiners, abstractors, and searchers in Minnesota	r=0.99	9yrs	384
The number of surgical technologists in West Virginia	r=0.99	9yrs	384
The number of tapers in California	r=0.98	9yrs	352
Jet fuel used in Bangladesh	r=0.96	8yrs	346
The number of marketing managers in Kansas	r=0.98	9yrs	342
Instructor salaries in the US	r=0.94	8yrs	342
The number of computer hardware engineers in West Virginia	r=0.98	9yrs	332
Master's degrees awarded in consumer sciences	r=0.96	8yrs	331
Food spending in Arizona	r=0.98	7yrs	328
Nuclear power generation in Iran	r=0.93	8yrs	315
Biomass power generated in Latvia	r=0.93	8yrs	315
Food spending in Colorado	r=0.98	7yrs	308
Food spending in Maryland	r=0.98	7yrs	308
Ticket sales for Houston Astros games	r=0.94	6yrs	300
Bachelor's degrees awarded in Physical sciences	r=0.94	8yrs	298
US Hospital Occupancy Rate	r=0.91	6yrs	294
Number of public school students in 6th grade	r=0.91	9yrs	294
US household spending on vehicle insurance	r=0.93	9yrs	294
Number of public school students in 7th grade	r=0.9	9yrs	293
Assistant Processor salaries in the US	r=0.9	8yrs	292
The number of optometrists in Kansas	r=0.96	9yrs	290
University Lecturer salaries in the US	r=0.89	8yrs	290
Customer satisfaction with T-Mobile	r=0.88	8yrs	282
The number of sheet metal workers in Maryland	r=0.97	9yrs	280
Restaurant spending in Connecticut	r=0.96	7yrs	278
Customer satisfaction with Walmart	r=0.86	7yrs	278
Drenching rain in Houston	r=0.91	6yrs	275
The number of survey researchers in Massachusetts	r=0.97	9yrs	270
Restaurant spending in Iowa	r=0.96	7yrs	268
Biomass power generated in Hungary	r=0.9	8yrs	266
US milk fat used to produce cottage cheese	r=0.87	8yrs	260
Season wins for the New Orleans Saints	r=0.86	10yrs	260
The number of automotive service technicians and mechanics in Nebraska	r=0.97	9yrs	260
Hot days in Sydney	r=0.85	9yrs	259
Restaurant spending in South Carolina	r=0.96	7yrs	258
The number of statisticians in Texas	r=0.96	9yrs	250
Food spending in Michigan	r=0.97	7yrs	247
Master's degrees awarded in Legal professions and studies	r=0.88	8yrs	244
Popularity of the first name Gwendolyn	r=0.9	9yrs	244
Popularity of the first name Princess	r=0.9	9yrs	244
Popularity of the first name Joanna	r=0.89	9yrs	242
The number of registered nurses in Wisconsin	r=0.98	7yrs	240
Food spending in Mississippi	r=0.97	7yrs	237
The number of forensic science technicians in Arkansas	r=0.97	8yrs	230
Food spending in Missouri	r=0.97	7yrs	227
Hydopower energy generated in United States	r=0.88	8yrs	222
The number of cashiers in Georgia	r=0.96	9yrs	219
Food spending in Montana	r=0.97	7yrs	217
Popularity of the first name Mireya	r=0.89	9yrs	212
The number of carpenters in Illinois	r=0.96	9yrs	209
Food spending in Nebraska	r=0.97	7yrs	207
Kerosene used in Bolivia	r=0.86	8yrs	206
Popularity of the first name Ryann	r=0.88	9yrs	200
The number of marriage therapists in Iowa	r=0.96	9yrs	199
Food spending in New Hampshire	r=0.97	7yrs	197
Popularity of the first name Raina	r=0.88	9yrs	190
The number of customer service representatives in Nebraska	r=0.96	9yrs	189
Food spending in Ohio	r=0.97	7yrs	187
Popularity of the first name Karson	r=0.87	9yrs	179
The number of electrical and electronics repairers, commercial and industrial equipment in Tennessee	r=0.96	9yrs	179
Food spending in Tennessee	r=0.97	7yrs	177
The number of tailors, dressmakers, and custom sewers in Texas	r=0.96	9yrs	169
Popularity of the first name Brielle	r=0.86	9yrs	168
Food spending in Alabama	r=0.96	7yrs	166
Automotive recalls issued by Keystone RV Company	r=0.76	9yrs	164
Automotive recalls issued by Honda	r=0.75	9yrs	162
Carnival Corporation's stock price (CCL)	r=0.77	10yrs	162
Customer satisfaction with CVS	r=0.78	7yrs	162
Google searches for 'flights to Antarctica'	r=0.72	10yrs	160
The number of childcare workers in Arizona	r=0.96	9yrs	159
Automotive recalls issued by BMW of North America	r=0.72	9yrs	158
Delta Airlines' stock price (DAL)	r=0.74	10yrs	158
Royal Caribbean Cruises' stock price (RCL)	r=0.73	10yrs	156
Food spending in Kentucky	r=0.96	7yrs	156
Popularity of the 'thats what she said' meme	r=0.8	10yrs	154
Ticket sales for Colorado Rockies games	r=0.85	6yrs	151
Number of edits to the Wikipedia article for Big Bird	r=0.67	10yrs	151
xkcd comics published about time	r=0.79	10yrs	150
Total Revenue of the NFL Teams	r=0.84	7yrs	149
Food spending in Massachusetts	r=0.96	7yrs	146
Professor salaries in the US	r=0.79	8yrs	140
Food spending in Vermont	r=0.96	7yrs	136
Food spending in Washington	r=0.96	7yrs	126
Orange's stock price (ORAN)	r=0.7	10yrs	121
Food spending in Connecticut	r=0.95	7yrs	114
Altria Group's stock price (MO)	r=0.69	10yrs	110
Itaú Unibanco Holding's stock price (ITUB)	r=0.68	10yrs	98
Hydopower energy generated in Brazil	r=0.84	8yrs	92
Banco Santander (Brasil)'s stock price (Brasil)	r=0.68	10yrs	88
Fossil fuel use in Cyprus	r=0.82	8yrs	78
Fossil fuel use in Rwanda	r=0.82	8yrs	68
Jet fuel used in Nigeria	r=0.84	8yrs	58
Jet fuel used in Qatar	r=0.84	8yrs	48
Jet fuel used in Ghana	r=0.83	8yrs	37
Petroluem consumption in Mauritius	r=0.83	8yrs	27
Liquefied petroleum gas used in Peru	r=0.83	8yrs	17
Kerosene used in South Africa	r=0.83	8yrs	7

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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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