Additional Info: Murder on the 13th Floor (2012); Mississippi Damned (2009); South Dakota (2017); Little Woods (2019); Passing (2021); Lady and the Tramp (2019); Sylvie's Love (2020); Shadow Stalker (2019); The Listener (2022); Points of Origin (2014); The Grand Romantic (2015); Sorry to Bother You (2018); Furlough (2018); Dirty Computer (2018); Men in Black: International (2019); Creed III (2023); Marvel Studios Assembled: The Making of Thor: Love and Thunder (2022); Grantham & Rose (2014); Creed (2015); Everyday Black Man (2011); Automotive (2013); Creed II (2018); Soul of a Nation Presents: Screen Queens Rising (2022); The Initiation of Sarah (2006); Make It Happen (2008); Dear White People (2014); Exquisite Corpse (2010); War on Everyone (2016); Annihilation (2018); Thor: Ragnarok (2017); Thor: Love and Thunder (2022); From Rocky to Creed: The Legacy Continues (2015); For Colored Girls (2010); 100 Years (2017); When a Stranger Calls (2006); Selma (2014); Salt Water (2016); The Marvels (2023); Avengers: Endgame (2019); The Human Contract (2008); Between Two Ferns: The Movie (2019)
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The number of movies Tessa Thompson appeared in correlates with...
Variable | Correlation | Years | Has img? |
Popularity of the 'weird flex but ok' meme | r=0.63 | 18yrs | No |
The number of movies Tessa Thompson appeared in also correlates with...
<< Back to discover a correlation
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.)