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Data source: AI analysis of YouTube video titles
Additional Info: 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 SciShow Space YouTube video titles are correlates with...

VariableCorrelationYearsHas img?
Number of times 6 was a winning Mega Millions numberr=0.87yrsYes!



How nerdy SciShow Space YouTube video titles are also correlates with...

VariableCorrelationYearsSys. Score
Zdeno Chara's Seasonal Total Goal Assistsr=0.939yrs314
The number of title examiners, abstractors, and searchers in Washingtonr=0.919yrs292
The number of motorboat mechanics in Colorador=0.919yrs292
Popularity of the first name Denar=0.919yrs290
Asthma attacks in American childrenr=0.96yrs286
Customer satisfaction with Walgreensr=0.867yrs278
Customer satisfaction with Rite Aidr=0.857yrs277
Lukas Podolski's domestic match goal countr=0.99yrs265
Jet fuel used in Cubar=0.878yrs258
The number of movies Kirsten Dunst appeared inr=0.889yrs250
The number of butchers in Alaskar=0.899yrs244
Popularity of the first name Andriar=0.899yrs242
Air pollution in Oxnard, Californiar=0.8910yrs242
Air quality in Houma, Louisianar=0.8710yrs240
Popularity of the first name Alyssiar=0.879yrs239
GMO use in corn grown in South Dakotar=0.8610yrs226
GMO use in corn grown in North Dakotar=0.8510yrs224
Air quality in Rockford, Illinoisr=0.8610yrs223
The number of criminal justice and law enforcement teachers in New Jerseyr=0.899yrs214
The number of mobile heavy equipment mechanics in Guamr=0.899yrs204
The number of costume attendants in Arizonar=0.98yrs194
The number of dental laboratory technicians in Louisianar=0.889yrs182
The number of locksmiths and safe repairers in Michiganr=0.889yrs172
Asthma attacks in American childrenr=0.826yrs170
Number of edits to the Wikipedia article for Goldman Sachsr=0.7610yrs164
Customer satisfaction with Whole Foods r=0.797yrs163
The number of school teachers in New Hampshirer=0.879yrs162
General Electric's stock price (GE)r=0.7310yrs158
Customer satisfaction with Costcor=0.767yrs158
Google searches for 'why isnt 11 pronounced onety one'r=0.819yrs156
Asthma attacks in American childrenr=0.786yrs154
Number of edits to the Wikipedia article for Deloitter=0.6810yrs152
The number of forest and conservation workers in Washingtonr=0.888yrs151
Honda Motor Co.'s stock price (HMC)r=0.710yrs151
Number of times 10 was a winning Mega Millions numberr=0.689yrs150
Asthma attacks in American childrenr=0.766yrs150
The average age of batters for the Detroit Tigersr=0.8410yrs150
Season wins for the New England Patriotsr=0.8310yrs150
Fossil fuel use in Greecer=0.838yrs150
Asthma prevalence in American childrenr=0.746yrs148
Anheuser-Busch InBev's stock price (BUD)r=0.6810yrs148
The divorce rate in South Dakotar=0.818yrs147
Liquefied petroleum gas used in Croatiar=0.838yrs147
The divorce rate in Washingtonr=0.88yrs146
Number of edits to the Wikipedia article for spite houser=0.6410yrs146
The divorce rate in Kentuckyr=0.798yrs144
xkcd comics published about social mediar=0.7410yrs143
Points scored by the New England Patriotsr=0.7710yrs142
Number of times 9 was a winning Mega Millions numberr=0.77yrs141
Customer satisfaction with JCPenneyr=0.717yrs141
The number of couriers and messengers in Kentuckyr=0.879yrs140
Number of times 1 was a winning Mega Millions numberr=0.697yrs140
xkcd comics published about the internetr=0.7210yrs140
Career regular season goals scored by Sidney Crosbyr=0.769yrs139
Customer satisfaction with Kohl'sr=0.697yrs138
Customer satisfaction with Dollar Generalr=0.697yrs138
Customer satisfaction with Krogerr=0.697yrs138
xkcd comics published about programmingr=0.7110yrs138
Popularity of the 'kermit' memer=0.710yrs138
Cumulative goals scored by Vincent Kompany in domestic matchesr=0.767yrs137
Asthma attacks in American childrenr=0.676yrs137
Google searches for 'how to cure a hangover'r=0.7310yrs137
Customer satisfaction with Targetr=0.687yrs136
xkcd comics published about sarcasmr=0.6910yrs136
Number of edits to the Wikipedia article for Nikola Teslar=0.649yrs136
The number of university political science teachers in New Yorkr=0.878yrs130
The number of tool and die makers in North Carolinar=0.879yrs120
Kerosene used in Tongar=0.838yrs117
PG&E's stock price (PCG)r=0.6410yrs112
The divorce rate in Missourir=0.788yrs112
The number of registered nurses in Rhode Islandr=0.887yrs110
Number of games won by Miami Marlins in the National League (East Division)r=0.749yrs106
Fossil fuel use in Denmarkr=0.778yrs101
The number of chemists in South Dakotar=0.879yrs100
The marriage rate in Indianar=0.778yrs100
Fossil fuel use in Germanyr=0.778yrs91
The marriage rate in Kansasr=0.778yrs90
The number of telecommunications line installers and repairers in New Hampshirer=0.869yrs89
Gasoline pumped in Kyrgyzstanr=0.798yrs81
The number of marriage therapists in North Dakotar=0.876yrs78
The marriage rate in Minnesotar=0.768yrs78
Jet fuel used in Sudanr=0.798yrs71
The number of nursing instructors and teachers in Puerto Ricor=0.868yrs68
The marriage rate in Nebraskar=0.768yrs68
Fossil fuel use in Sierra Leoner=0.768yrs60
The marriage rate in Rhode Islandr=0.768yrs58
The number of forest conservation technicians in Marylandr=0.858yrs56
Liquefied petroleum gas used in Panamar=0.788yrs50
The marriage rate in Wisconsinr=0.768yrs48
Gasoline pumped in Puerto Ricor=0.788yrs40
The marriage rate in Marylandr=0.758yrs36
Electricity generation in Paraguayr=0.758yrs28
The marriage rate in New Hampshirer=0.758yrs26
Hydopower energy generated in Paraguayr=0.758yrs18
The marriage rate in Washingtonr=0.748yrs15
Fossil fuel use in Saint Luciar=0.758yrs8
Liquefied petroleum gas used in Moldovar=0.778yrs-2
Kerosene used in Tunisiar=0.778yrs-12
Biomass power generated in Burundir=0.748yrs-24
Biomass power generated in Sudanr=0.748yrs-34


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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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