Top variables that correlate with How provocative Deep Look 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 provocative Deep Look YouTube video titles are correlates with...

Variable	Correlation	Years	Has img?
Hot days in Washington, D.C.	r=0.89	10yrs	No
Google searches for 'Brexit'	r=0.75	8yrs	No

How provocative Deep Look YouTube video titles are also correlates with...

Variable	Correlation	Years	Sys. Score
Customer satisfaction with YouTube	r=0.9	8yrs	316
Liquefied petroleum gas used in Cyprus	r=0.94	8yrs	314
The number of ushers in Wyoming	r=0.95	6yrs	311
Petroluem consumption in Bulgaria	r=0.92	8yrs	296
The number of avionics technicians in Michigan	r=0.93	6yrs	276
Electricity generation in Gibraltar	r=0.89	8yrs	264
Tornados in Oklahoma	r=0.85	9yrs	258
The number of avionics technicians in Maryland	r=0.89	7yrs	242
Petroluem consumption in Niue	r=0.89	8yrs	231
Gasoline pumped in Niue	r=0.88	8yrs	220
Air quality in Seneca, South Carolina	r=0.87	6yrs	220
The number of agricultural inspectors in New Mexico	r=0.88	6yrs	209
Petroluem consumption in North Korea	r=0.86	8yrs	206
Automotive recalls for issues with Trailer Hitches	r=0.75	9yrs	158
Mega millions lottery numbers	r=0.72	9yrs	153
Global Permanent Nuclear Reactor Shutdowns	r=0.8	9yrs	150
Number of edits to the Wikipedia article for Dwayne Johnson	r=0.67	9yrs	150
Google searches for 'Rachel and Ross'	r=0.78	10yrs	144
Popularity of the 'pepe' meme	r=0.69	10yrs	137
Number of edits to the Wikipedia article for Justin Trudeau	r=0.65	9yrs	137
US dairy skim solids used to produce evaporated and condensed milk	r=0.75	8yrs	135
The number of movies Natalie Portman appeared in	r=0.8	10yrs	134
The number of movies Adam Driver appeared in	r=0.79	10yrs	132
Rain in Phoenix	r=0.83	9yrs	131
Number of World of Warcraft Subscribers	r=0.68	9yrs	130
Customer satisfaction with Motorola	r=0.62	8yrs	128
Number of edits to the Wikipedia article for correlation	r=0.58	10yrs	128
Number of edits to the Wikipedia article for Dionysus	r=0.59	9yrs	128
Runner-up Points in Men's NCAA Cross Country Championships	r=0.68	9yrs	127
Texas Rangers' American League West Division finish position	r=0.67	9yrs	126
The number of movies Alfre Woodard appeared in	r=0.75	10yrs	126
The average age of batters for the Atlanta Braves	r=0.67	10yrs	125
Popularity of the first name Rayna	r=0.8	9yrs	124
Ticket sales for San Diego Padres games	r=0.74	6yrs	124
Krispy Kreme Doughnuts store count in the US	r=0.67	8yrs	122
Evaporated and condensed milk consumption	r=0.72	8yrs	120
Automotive recalls for issues with the Air Bags	r=0.57	9yrs	120
Customer satisfaction with GE Appliances	r=0.56	8yrs	120
Mega millions lottery numbers	r=0.56	9yrs	119
Automotive recalls issued by Chrysler	r=0.52	9yrs	118
Popularity of the first name Aliza	r=0.76	9yrs	118
Popularity of the 'drake' meme	r=0.63	10yrs	118
US Hospital Occupancy Rate	r=0.7	6yrs	117
Visitors to Universal Orlando's Islands of Adventure	r=0.52	8yrs	116
Automotive recalls for issues with Exterior Lighting	r=0.54	9yrs	116
Number of edits to the Wikipedia article for Thanksgiving	r=0.51	9yrs	116
Ticket sales for New York Mets games	r=0.67	6yrs	114
Automotive recalls for issues with Service Brakes, Air	r=0.52	9yrs	113
Popularity of the first name Cori	r=0.73	9yrs	113
Total Revenue of the NFL Teams	r=0.66	7yrs	112
Number of times 4 was a winning Mega Millions number	r=0.51	7yrs	112
Orange's stock price (ORAN)	r=0.51	10yrs	112
Number of edits to the Wikipedia article for Big Bird	r=0.47	10yrs	111
Popularity of the 'friday friday friday' meme	r=0.57	10yrs	109
US production of frozen dairy products	r=0.63	8yrs	108
Rain in Las Vegas	r=0.79	10yrs	96
The number of air traffic controllers in Nebraska	r=0.85	8yrs	93
Biomass power generated in Slovakia	r=0.82	8yrs	88
The number of movies Leonardo DiCaprio appeared in	r=0.7	10yrs	88
Rain in Phoenix	r=0.79	9yrs	85
The number of biological technicians in Massachusetts	r=0.84	9yrs	81
Popularity of the first name Jane	r=0.71	9yrs	80
Petroluem consumption in Serbia	r=0.84	8yrs	78
Rain in San Diego	r=0.79	9yrs	75
The number of construction equipment operators in Virginia	r=0.84	9yrs	71
Petroluem consumption in North Macedonia	r=0.83	8yrs	67
Rain in San Antonio	r=0.78	9yrs	64
The number of cooks, institution and cafeteria in Wisconsin	r=0.84	9yrs	61
Gasoline pumped in Gibraltar	r=0.82	8yrs	56
Rain in Fort Worth	r=0.77	9yrs	52
The number of purchasing managers in Massachusetts	r=0.83	9yrs	50
Petroluem consumption in Latvia	r=0.82	9yrs	46
Rain in San Diego	r=0.76	9yrs	40
The number of registered nurses in Alabama	r=0.83	7yrs	38
Gasoline pumped in Malta	r=0.82	8yrs	36
Rain in San Diego	r=0.75	9yrs	29
The number of medical equipment repairers in Oklahoma	r=0.81	9yrs	26
Gasoline pumped in Philippines	r=0.81	8yrs	24
Average temperature in Charlotte	r=0.74	9yrs	18
The number of paralegals in Pennsylvania	r=0.81	7yrs	16
Petroluem consumption in South Sudan	r=0.81	8yrs	14
Rain in Los Angeles	r=0.73	9yrs	6
The number of cashiers in Arizona	r=0.8	9yrs	5
Jet fuel used in Mongolia	r=0.8	8yrs	2
The number of social workers in Michigan	r=0.8	9yrs	-5
Hot days in Charlotte	r=0.71	9yrs	-7
Liquefied petroleum gas used in Mozambique	r=0.8	8yrs	-8
The number of middle school teachers in Hawaii	r=0.8	9yrs	-15
Rain in Los Angeles	r=0.7	9yrs	-18
Kerosene used in Puerto Rico	r=0.79	8yrs	-19
The number of postal service clerks in Arkansas	r=0.79	9yrs	-26
Rain in Las Vegas	r=0.7	10yrs	-28
Electricity generation in Cuba	r=0.76	8yrs	-30
The number of automotive service technicians and mechanics in Kentucky	r=0.79	9yrs	-36
Gasoline pumped in Morocco	r=0.78	8yrs	-40
The number of interior designers in Maine	r=0.8	8yrs	-46
Petroluem consumption in Nicaragua	r=0.78	8yrs	-50
The number of groundskeepers in Ohio	r=0.79	9yrs	-56
The number of registered nurses in Delaware	r=0.8	7yrs	-67

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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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