
If You Like Food, Inc.(2009)
Based on real preference data from thousands of voters, here's what fans of Food, Inc. also love.
48 connections found
#1155xSuper Size Me
2004
#212xCast Away
2000
#312xInto the Wild
2007
#410xSuperbad
2007
#510xLittle Miss Sunshine
2006
#610xJuno
2007
#79.6xEdward Scissorhands
1990
#89.0xThe Breakfast Club
1985
#98.9xSaving Private Ryan
1998
#108.8xThe Sixth Sense
1999
#118.7xThe Incredibles
2004
#128.4xMonsters, Inc.
2001
#138.2xZombieland
2009
#148.1xThe Hangover
2009
#158.0xRequiem for a Dream
2000
#167.9xAmerican History X
1998
#177.8xTrainspotting
1996
#187.7xNo Country for Old Men
2007
#197.6xThe Big Lebowski
1998
#207.6xThe Shining
1980
#217.5xJurassic Park
1993
#227.5xAmerican Psycho
2000
#237.2xUp
2009
#247.1xBack to the Future
1985
#257.0xDonnie Darko
2001
#266.9xThe Silence of the Lambs
1991
#276.6xForrest Gump
1994
#286.6xThe Truman Show
1998
#296.6xThe Dark Knight Rises
2012
#306.5xEternal Sunshine of the Spotless Mind
2004
#316.4xGood Will Hunting
1998
#326.4xDjango Unchained
2012
#336.4xV for Vendetta
2006
#346.2xThe Lord of the Rings: The Fellowship of the Ring
2001
#356.1xCatch Me If You Can
2003
#366.1xInglourious Basterds
2009
#376.0xThe Lord of the Rings: The Two Towers
2002
#386.0xThe Wolf of Wall Street
2013
#395.9xReservoir Dogs
1992
#405.8xThe Shawshank Redemption
1994
#415.5xThe Dark Knight
2008
#425.4xIron Man
2008
#435.3xThe Matrix
1999
#445.3xShutter Island
2010
#454.9xPulp Fiction
1994
#464.9xFight Club
1999
#474.7xInception
2010
#484.3xInterstellar
2014How 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 Food, Inc. consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Food, Inc. 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.