
If You Like August: Osage County(2014)
Based on real preference data from thousands of voters, here's what fans of August: Osage County also love.
55 connections found
#178xBlue Jasmine
2013
#277xStill Alice
2015
#326xDallas Buyers Club
2013
#421xBoyhood
2014
#521x12 Years a Slave
2013
#617xMidnight in Paris
2011
#716xSilver Linings Playbook
2012
#814xPrisoners
2013
#914xThe King's Speech
2010
#1012xLittle Miss Sunshine
2006
#1112xThe Royal Tenenbaums
2002
#1212xHer
2014
#1311xLost in Translation
2003
#1410.0xJuno
2007
#159.7xWhiplash
2014
#169.7xGone Girl
2014
#179.5xInto the Wild
2007
#189.4xBlack Swan
2010
#199.0xDead Poets Society
1989
#208.7xThe Perks of Being a Wallflower
2012
#218.5xThe Imitation Game
2014
#228.1xThe Grand Budapest Hotel
2014
#237.9x(500) Days of Summer
2009
#247.9xAmélie
2001
#257.7xMean Girls
2004
#267.3xThe Sixth Sense
1999
#277.2xThe Breakfast Club
1985
#287.0xThe Shining
1980
#297.0xRequiem for a Dream
2000
#306.9xThe Wolf of Wall Street
2013
#316.8xEdward Scissorhands
1990
#326.7xGood Will Hunting
1998
#336.3xNo Country for Old Men
2007
#346.2xAmerican History X
1998
#356.2xDjango Unchained
2012
#366.1xThe Green Mile
1999
#375.9xTrainspotting
1996
#385.6xEternal Sunshine of the Spotless Mind
2004
#395.3xThe Departed
2006
#405.3xThe Martian
2015
#415.3xThe Silence of the Lambs
1991
#425.2xDonnie Darko
2001
#435.0xShutter Island
2010
#444.8xThe Truman Show
1998
#454.8xReservoir Dogs
1992
#464.5xInterstellar
2014
#474.5xInglourious Basterds
2009
#484.5xThe Prestige
2006
#494.5xCatch Me If You Can
2003
#504.3xThe Shawshank Redemption
1994
#514.3xForrest Gump
1994
#524.1xPulp Fiction
1994
#533.7xThe Dark Knight
2008
#543.6xFight Club
1999
#553.2xInception
2010How does this work?
These recommendations are based on real voting data, not algorithms. When thousands of people vote on their favorites, patterns emerge — people who love August: Osage County consistently tend to also love certain other things. The "strength" score shows how much more likely fans of August: Osage County are to enjoy each recommendation compared to the average person.
Unlike algorithmic recommendations, these connections come from actual human preferences. A high strength score means the connection is genuine — not just because two items share a category, but because the same people genuinely love both.