Additional Info: Kicking Out Shoshana (2014); Wonder Woman 1984 (2020); Wonder Woman (2017); Heart of Stone (2023); Red Notice (2021); Ralph Breaks the Internet (2018); Zack Snyder's Justice League (2021); Justice League (2017); Batman v Superman: Dawn of Justice (2016); Keeping Up with the Joneses (2016); Criminal (2016); Death on the Nile (2022); Fast Five (2011); Fast & Furious 6 (2013); Fast & Furious (2009); Triple 9 (2016); Furious 7 (2015); Knight and Day (2010); Date Night (2010); Making The Flash: Worlds Collide (2023); Between Two Ferns: The Movie (2019); Fast X (2023); F9 (2021); Shazam! Fury of the Gods (2023); The Flash (2023)
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The number of movies Gal Gadot appeared in correlates with...
Variable | Correlation | Years | Has img? |
Air pollution in New Orleans, Louisiana | r=1 | 6yrs | No |
Deepest snow depth in New York | r=0.78 | 13yrs | No |
Average temperature in Detroit | r=0.78 | 11yrs | No |
The average number of likes on Extra History YouTube videos | r=0.74 | 12yrs | No |
Hydopower energy generated in Georgia | r=0.67 | 13yrs | No |
xkcd comics published about artificial intelligence | r=0.65 | 14yrs | No |
Popularity of the 'pepe' meme | r=0.55 | 15yrs | No |
The number of movies Gal Gadot 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.)