
If You Like Good Night, and Good Luck.(2005)
Based on real preference data from thousands of voters, here's what fans of Good Night, and Good Luck. also love.
139 connections found
#1141xSyriana
2005
#2102xThe Insider
1999
#384xMichael Clayton
2007
#467xTraffic
2001
#548x25th Hour
2003
#648xRoad to Perdition
2002
#745xUnforgiven
1992
#843xThe Untouchables
1987
#942xA History of Violence
2005
#1042xDonnie Brasco
1997
#1137xRaging Bull
1980
#1234xPlatoon
1987
#1333xApollo 13
1995
#1433xArgo
2012
#1532xChinatown
1974
#1631xMystic River
2003
#1730xBoogie Nights
1997
#1829xThank You for Smoking
2006
#1929xMagnolia
2000
#2027xKiss Kiss Bang Bang
2005
#2127xCollateral
2004
#2227xL.A. Confidential
1997
#2324xHeat
1995
#2424xBurn After Reading
2008
#2523xDr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb
1964
#2623xJackie Brown
1997
#2722xCasino
1995
#2822xGangs of New York
2002
#2921xThere Will Be Blood
2008
#3021xUnbreakable
2000
#3120xThe Game
1997
#3220xIn Bruges
2008
#3319xCasino Royale
2006
#3419xApocalypse Now
1979
#3518xThe Bourne Supremacy
2004
#3617xThe King's Speech
2010
#3717xZodiac
2007
#3817x12 Angry Men
1957
#3917xGattaca
1997
#4016xMoon
2009
#4116xLock, Stock and Two Smoking Barrels
1998
#4216xFargo
1996
#4316xPsycho
1960raiders of the lost ark
#4515xTaxi Driver
1981
#4615xRain Man
1988
#4715xBeing John Malkovich
1999
#4815xBlade Runner
1982
#4915xThe Bourne Identity
2002
#5015xThe Royal Tenenbaums
2002
#5114xAliens
1986
#5214xThe Bourne Ultimatum
2007
#5314xLooper
2012
#5414xOffice Space
1999
#5513xMonty Python and the Holy Grail
1975
#5613xThe Machinist
2004
#5713xLost in Translation
2003
#5813xDie Hard
1988
#5913xNo Country for Old Men
2007
#6013xFull Metal Jacket
1987
#6113xFear and Loathing in Las Vegas
1998Goodfellas
1990
#6312xTwelve Monkeys
1996
#6412xScarface
1983
#6512xGroundhog Day
1993
#6612xGhostbusters
1984
#6712xIndiana Jones and the Last Crusade
1989
#6812xSchindler's List
1994
#6912xThe Social Network
2010
#7012xMinority Report
2002
#7112xDistrict 9
2009
#7212x2001: A Space Odyssey
1968Terminator
1984
#7411xSnatch
2001
#7511xOcean's Eleven
2001
#7611xAlien
1979
#7711xTerminator 2: Judgment Day
1991
#7811xSaving Private Ryan
1998
#7911xThe Godfather
1972
#8011xSin City
2005
#8111xThe Sixth Sense
1999
#8211xDead Poets Society
1989
#8310xIndiana Jones and the Temple of Doom
1984
#8410xHot Fuzz
2007
#8510xTrainspotting
1996
#8610xLittle Miss Sunshine
2006
#879.9xCast Away
2000
#889.7xShaun of the Dead
2004
#899.5xThe Departed
2006
#909.4xThe Big Lebowski
1998
#919.3xAmerican History X
1998
#929.2xThe Shining
1980
#939.2xReservoir Dogs
1992
#949.1xAmerican Psycho
2000Star Wars: Episode V - The Empire Strikes Back
1980
#969.0xGood Will Hunting
1998
#978.9xEx Machina
2015
#988.8xThe Silence of the Lambs
1991
#998.5xCatch Me If You Can
2003
#1008.5xBlack Swan
2010
#1018.5xMen in Black
1997
#1028.4xRequiem for a Dream
2000
#1038.2xJuno
2007
#1048.2xThe Grand Budapest Hotel
2014
#1058.1xThe Imitation Game
2014
#1068.0xZombieland
2009
#1077.7xThe Breakfast Club
1985
#1087.6xGladiator
2000
#1097.5xBatman Begins
2005
#1107.4xEdward Scissorhands
1990
#1117.2xInglourious Basterds
2009
#1127.2xAmélie
2001
#1137.2xDonnie Darko
2001
#1147.1xThe Martian
2015
#1157.0xJurassic Park
1993
#1166.9xEternal Sunshine of the Spotless Mind
2004
#1176.9xDjango Unchained
2012
#1186.9xGone Girl
2014
#1196.9xThe Dark Knight Rises
2012
#1206.7xBack to the Future
1985
#1216.7xThe Lord of the Rings: The Fellowship of the Ring
2001
#1226.6xThe Prestige
2006
#1236.5xThe Lord of the Rings: The Two Towers
2002
#1246.5xSe7en
1995
#1256.5xUp
2009
#1266.4xThe Truman Show
1998
#1276.3xThe Dark Knight
2008
#1286.2xThe Lord of the Rings: The Return of the King
2003
#1296.0xThe Shawshank Redemption
1994
#1305.7xV for Vendetta
2006
#1315.7xIron Man
2008
#1325.6xPulp Fiction
1994
#1335.6xThe Matrix
1999
#1345.4xThe Wolf of Wall Street
2013
#1355.3xForrest Gump
1994
#1364.6xFight Club
1999
#1374.6xShutter Island
2010
#1384.4xInterstellar
2014
#1394.2xInception
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 Good Night, and Good Luck. consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Good Night, and Good Luck. 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.