Additional Info: Romeo + Juliet (1996); Titanic (1997); Blood Diamond (2006); The Beach (2000); The Aviator (2004); The Basketball Diaries (1995); Gangs of New York (2002); Revolutionary Road (2008); Shutter Island (2010); Body of Lies (2008); The Man in the Iron Mask (1998); Inception (2010); Total Eclipse (1995); Hubble (2010); The Great Gatsby (2013); The Revenant (2015); J. Edgar (2011); Before the Flood (2016); Catch Me If You Can (2002); Killers of the Flower Moon (2023); The 11th Hour (2007); The Foot Shooting Party (1994); Once Upon a Time… in Hollywood (2019); Ice on Fire (2019); Teslafy Me (2019); Portrait of Leonardo: The Kid Who Took Hollywood (2000); The Wolf of Wall Street (2013); Hangin' with Leo!! (2000); Shutter Island: Into the Lighthouse (2010); Inception: The Cobol Job (2010); A Love Letter To Making Movies (2020); The Departed (2006); The Audition (2015); Reflections on Titanic (2012); Mickey's Safety Club: Street Safe, Street Smart (1989); And We Go Green (2019); Don't Look Up (2021); Ryuichi Sakamoto: Coda (2017); What's Eating Gilbert Grape (1993); This Boy's Life (1993); Marvin's Room (1996); Django Unchained (2012); Scorsese's Goodfellas (2015); Notes on an American Film Director at Work (2008); The Wolf Pack (2014); The Quick and the Dead (1995); Celebrity (1998); Don's Plum (2001); Dreams: Cinema of the Subconscious (2010); Poison Ivy (1992); A World Unseen: 'The Revenant' (2016); Koko: The Gorilla Who Talks to People (2016); Catch Me If You Can: Behind the Camera (2003); Leonardo DiCaprio: Most Wanted! (2021); The Love We Make (2011); Earth to America (2005); Noi siamo cinema (2021); Stranger Than Fiction: The True Story of Whitey Bulger, Southie and 'The Departed' (2007); Critters 3 (1991); Spielberg (2017); Man on the Run (2023); A Concert for Hurricane Relief (2005); X-Girl (1995); Avatar: The Deep Dive - A Special Edition of 20/20 (2022); Adele One Night Only (2021); Everything's Cool (2007); kid 90 (2021); Clint Eastwood: A Cinematic Legacy (2021); The Savior for Sale (2021); Final Cut: Ladies and Gentlemen (2012); QT8: The First Eight (2019); The Lost Leonardo (2021); The Concert for New York City (2001)
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The number of movies Leonardo DiCaprio appeared in correlates with...
| Variable | Correlation | Years | Has img? |
| Votes for Democratic Senators in New York | r=0.89 | 9yrs | No |
| Snowy days in Dallas | r=0.85 | 7yrs | No |
| The number of credit counselors in South Carolina | r=0.81 | 13yrs | Yes! |
| The number of hearing aid specialists in California | r=0.8 | 11yrs | No |
| Solar power generated in Gabon | r=0.79 | 10yrs | No |
| Votes for Democratic Senators in New York | r=0.75 | 9yrs | No |
| Master's degrees awarded in Psychology | r=0.62 | 10yrs | No |
| Frank Lampard's Premier League goal tally | r=0.53 | 21yrs | No |
| The distance between Mars and Venus | r=0.48 | 35yrs | No |
| Hot days in Nashville | r=0.46 | 31yrs | No |
| Rain in Paris | r=0.46 | 16yrs | No |
| The distance between Mars and the Sun | r=0.45 | 35yrs | No |
The number of movies Leonardo DiCaprio 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.)