Additional Info: Elvis & Anabelle (2007); The Age of Adaline (2015); All I See Is You (2017); The Shallows (2016); The Rhythm Section (2020); A Simple Favor: Gravestone Martinis (2018); Green Lantern (2011); Hick (2011); Savages (2012); A Simple Favor (2018); The Sisterhood of the Traveling Pants 2 (2008); The Sisterhood of the Traveling Pants (2005); Accepted (2006); Suburban Noir: The Visual Style of 'A Simple Favor' (2018); Café Society (2016); The Town (2010); A Path Appears (2015); The Great American Tag Sale with Martha Stewart (2022); Simon Says (2007); The Private Lives of Pippa Lee (2009); When You Wish Upon a Pickle: A Sesame Street Special (2018); New York, I Love You (2008)
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The number of movies Blake Lively appeared in correlates with...
Variable | Correlation | Years | Has img? |
Global iPod Sales | r=0.74 | 9yrs | No |
Popularity of the 'floss dance' meme | r=0.56 | 17yrs | No |
The divorce rate in Utah | r=0.53 | 17yrs | No |
The number of movies Blake Lively 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.)