Additional Info: The Midnight Meat Train (2008); The Hangover Part II (2011); The Hangover (2009); Limitless (2011); The Words (2012); The Hangover Part III (2013); Burnt (2015); American Sniper (2014); Aloha (2015); Silver Linings Playbook (2012); Maestro (2023); The Road to Stardom: The Making of A Star is Born (2018); Nightmare Alley (2021); The Making Of 'American Sniper' (2015); Valentine's Day (2010); The Reality of Love (2004); Serena (2014); American Hustle (2013); A Star Is Born (2018); Making a Scene (2013); The Mule (2018); The Making of 'Making a Scene' (2013); Kaylien (2011); Lady Gaga: Encore (2020); A Documentary on Documentaries (2017); Magnum Opus (2022); Yes Man (2008); All About Steve (2009); Bending All the Rules (2002); Older Than America (2008); The Place Beyond the Pines (2013); Joy (2015); He's Just Not That Into You (2009); Mark Ronson: From the Heart (2019); The A-Team (2010); Case 39 (2009); War Dogs (2016); The Last Cowboy (2003); Die Clint Eastwood Story (2018); Failure to Launch (2006); Guardians of the Galaxy Vol. 2 (2017); Guardians of the Galaxy (2014); One Soldier's Story: The Journey of American Sniper (2015); Licorice Pizza (2021); 10 Cloverfield Lane (2016); Guide to the Galaxy with James Gunn (2014); The Guardians of the Galaxy Holiday Special (2022); Brother's Justice (2010); My Little Eye (2002); Guardians of the Galaxy Vol. 3 (2023); Hit & Run (2012); Marvel Studios Assembled: The Making of the Guardians of the Galaxy Vol. 3 (2023); Wedding Crashers (2005); Hurricane of Fun: The Making of Wet Hot (2015); Baby, Baby, Baby (2015); Joker: Put on a Happy Face (2020); The Rocker (2008); Dave Chappelle: The Kennedy Center Mark Twain Prize (2020); Saturday Night Live: 40th Anniversary Special (2015); Thor: Love and Thunder (2022); Wet Hot American Summer (2001); The Comebacks (2007); New York, I Love You (2008); The Paley Center Salutes Law & Order: SVU (2020); BET Presents Love & Happiness: An Obama Celebration (2016); Avengers: Infinity War (2018); Clint Eastwood: A Cinematic Legacy (2021); Dungeons & Dragons: Honor Among Thieves (2023); Avengers: Endgame (2019)
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The number of movies Bradley Cooper appeared in correlates with...
Variable | Correlation | Years | Has img? |
Air pollution in Seneca, South Carolina | r=0.98 | 7yrs | No |
Air pollution in Claremont, New Hampshire | r=0.95 | 7yrs | No |
Popularity of the 'whip nae nae' meme | r=0.78 | 9yrs | No |
Popularity of the first name Madelyn | r=0.78 | 22yrs | No |
The number of air traffic controllers in North Carolina | r=0.74 | 17yrs | No |
The number of office clerks in Nevada | r=0.71 | 20yrs | No |
British American Tobacco p.l.c.'s stock price (BTI) | r=0.66 | 22yrs | No |
The number of books by Stephen King published | r=0.55 | 14yrs | No |
Points allowed by the Chicago Bears | r=0.48 | 23yrs | No |
The number of movies Bradley Cooper appeared in also correlates with...
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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.)