If You Like How to Lose Friends & Alienate People(2008)
Based on real preference data from thousands of voters, here's what fans of How to Lose Friends & Alienate People also love.
97 connections found
#164xPaul
2011
#260xThe World's End
2013Dodgeball: A True Underdog Story
2004
#435xHot Tub Time Machine
2010
#533xYes Man
2008
#632xDogma
1999
#732xThe Hitchhiker's Guide to the Galaxy
2005
#830xTropic Thunder
2008
#928xHot Fuzz
2007
#1028xForgetting Sarah Marshall
2008
#1125xBruce Almighty
2003
#1222xShaun of the Dead
2004
#1320xKick-Ass
2010
#1418xBack to the Future Part III
1990
#1517xMen in Black II
2002
#1616xWatchmen
2009
#1716xOffice Space
1999
#1816xMonty Python and the Holy Grail
1975raiders of the lost ark
#2015xLock, Stock and Two Smoking Barrels
1998
#2114xZombieland
2009
#2214xDistrict 9
2009
#2314xGhostbusters
1984
#2414xIndiana Jones and the Temple of Doom
1984
#2514xBack to the Future Part II
1989
#2614xGroundhog Day
1993
#2713xI, Robot
2004
#2813xDie Hard
1988
#2913xThe Matrix Reloaded
2003
#3013xIndiana Jones and the Last Crusade
1989
#3113xDespicable Me
2010
#3213xSuperbad
2007
#3313xPirates of the Caribbean: Dead Man's Chest
2006
#3413xX-Men: First Class
2011
#3512xX-Men
2000
#3612xThe Incredibles
2004
#3712xMinority Report
2002
#3812xMen in Black
1997
#3912xPirates of the Caribbean: At World's End
2007
#4012xSin City
2005
#4112xScott Pilgrim vs. the World
2010
#4212xKingsman: The Secret Service
2015
#4312xThe Fifth Element
1997
#4411xTerminator 2: Judgment Day
1991
#4511xThe Butterfly Effect
2004
#4611xThe Nightmare Before Christmas
1993
#4711xI Am Legend
2007
#4811xRatatouille
2007
#4910xThe Lord of the Rings
1978
#5010.0xThe Hangover
2009
#519.9xHarry Potter and the Chamber of Secrets
2002
#529.9xHarry Potter and the Order of the Phoenix
2007
#539.7xLimitless
2011
#549.7xLittle Miss Sunshine
2006
#559.7xJuno
2007
#569.6xHarry Potter and the Prisoner of Azkaban
2004
#579.6xHarry Potter and the Goblet of Fire
2005
#589.4xSnatch
2001
#599.2xBack to the Future
1985
#609.1xThe Sixth Sense
1999
#619.0xEdward Scissorhands
1990
#629.0xShrek
2001
#638.7xMonsters, Inc.
2001
#648.7xTrainspotting
1996
#658.5xJurassic Park
1993
#668.4xUp
2009
#678.2xThe Avengers
2012
#688.2xPirates of the Caribbean: The Curse of the Black Pearl
2003
#698.0xIron Man
2008
#708.0xAmerican History X
1998
#718.0xDeadpool
2016
#727.8xThe Big Lebowski
1998
#737.7xAmerican Psycho
2000
#747.5xThe Lord of the Rings: The Return of the King
2003
#757.5xThe Lord of the Rings: The Two Towers
2002
#767.5xThe Departed
2006
#777.4xBatman Begins
2005
#787.3xDonnie Darko
2001
#797.3xGladiator
2000
#807.3xReservoir Dogs
1992
#817.2xThe Lord of the Rings: The Fellowship of the Ring
2001
#827.0xThe Truman Show
1998
#837.0xGuardians of the Galaxy
2014
#846.9xThe Dark Knight
2008
#856.7xDjango Unchained
2012
#866.7xV for Vendetta
2006
#876.4xEternal Sunshine of the Spotless Mind
2004
#886.3xInglourious Basterds
2009
#896.2xCatch Me If You Can
2003
#906.2xThe Matrix
1999
#916.0xThe Silence of the Lambs
1991
#925.8xThe Shawshank Redemption
1994
#935.5xThe Prestige
2006
#945.4xFight Club
1999
#955.4xForrest Gump
1994
#965.0xPulp Fiction
1994
#974.6xInception
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 How to Lose Friends & Alienate People consistently tend to also love certain other things. The "strength" score shows how much more likely fans of How to Lose Friends & Alienate People 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.