If You Like The Man Who Knew Too Much(1956)
Based on real preference data from thousands of voters, here's what fans of The Man Who Knew Too Much also love.
108 connections found
#1381xSpellbound
1945
#2270xTo Catch a Thief
1955
#3235xDial M for Murder
1954
#4225xStrangers on a Train
1951
#5201xRope
1948
#6198xRebecca
1940
#7186xThe Big Sleep
1946
#8168xCharade
1963
#9145xThe Maltese Falcon
1941
#10140xDouble Indemnity
1944
#11130xThe Third Man
1949
#12129xNorth by Northwest
1959
#13113xThe Conversation
1974
#14113xThe Birds
1963
#15101xThe Apartment
1960
#1694xButch Cassidy and the Sundance Kid
1969
#1792xCool Hand Luke
1967
#1882xVertigo
1958
#1972xRear Window
1954
#2062xCitizen Kane
1941
#2156xTo Kill a Mockingbird
1963
#2254xThe Untouchables
1987
#2354xChinatown
1974
#2452xCasablanca
1943
#2552xDog Day Afternoon
1975
#2646xThe Graduate
1967
#2743xBarton Fink
1991
#2839xPsycho
1960
#2938xRosemary's Baby
1968
#3030xJaws
1975
#3129xBlue Velvet
1986
#3227xDr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb
1964
#3327xL.A. Confidential
1997
#3426x12 Angry Men
1957
#3524xStand by Me
1986
#3623xJackie Brown
1997
#3723xApocalypse Now
1979
#3821xCasino
1995
#3919xTaxi Driver
1976
#4018x2001: A Space Odyssey
1968raiders of the lost ark
#4217xBlade Runner
1982
#4316xMonty Python and the Holy Grail
1975
#4416xDie Hard
1988
#4516xIndiana Jones and the Last Crusade
1989
#4616xFargo
1996
#4716xThe Royal Tenenbaums
2002
#4815xRain Man
1988
#4915xGroundhog Day
1993
#5014xAliens
1986
#5114xGhostbusters
1984
#5214xScarface
1983
#5314xBeing John Malkovich
1999
#5414xThe Bourne Identity
2002
#5513xThe Godfather
1972
#5613xLock, Stock and Two Smoking Barrels
1998Terminator
1984
#5813xAlien
1979
#5913xThe Princess Bride
1987
#6013xFull Metal Jacket
1987
#6112xSchindler's List
1994Goodfellas
1990
#6312xThe Shining
1980
#6412xDead Poets Society
1989
#6511xLéon: The Professional
1994
#6611xIndiana Jones and the Temple of Doom
1984
#6711xThe Sixth Sense
1999
#6811xTerminator 2: Judgment Day
1991
#6911xSaving Private Ryan
1998
#7011xNo Country for Old Men
2007
#7111xMinority Report
2002
#7210xThe Big Lebowski
1998
#7310xAmélie
2001
#7410xLittle Miss Sunshine
2006
#759.9xReservoir Dogs
1992
#769.9xSnatch
2001
#779.9xJurassic Park
1993
#789.6xThe Departed
2006
#799.5xEdward Scissorhands
1990
#809.3xThe Grand Budapest Hotel
2014
#818.9xTrainspotting
1996
#828.7xThe Silence of the Lambs
1991
#838.4xCatch Me If You Can
2003
#848.4xKill Bill: Vol. 1
2003
#857.8xThe Green Mile
1999
#867.6xBack to the Future
1985
#877.6xSe7en
1995
#887.5xBatman Begins
2005
#897.5xInglourious Basterds
2009
#907.2xGood Will Hunting
1998
#917.0xThe Lord of the Rings: The Return of the King
2003
#927.0xThe Lord of the Rings: The Two Towers
2002
#936.9xDonnie Darko
2001
#946.9xThe Prestige
2006
#956.8xThe Lord of the Rings: The Fellowship of the Ring
2001
#966.8xDjango Unchained
2012
#976.7xThe Truman Show
1998
#986.7xUp
2009
#996.5xThe Wolf of Wall Street
2013
#1006.5xPulp Fiction
1994
#1016.2xThe Shawshank Redemption
1994
#1025.9xShutter Island
2010
#1035.9xThe Dark Knight
2008
#1045.7xEternal Sunshine of the Spotless Mind
2004
#1055.7xForrest Gump
1994
#1065.0xThe Matrix
1999
#1074.5xFight Club
1999
#1084.3xInception
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 The Man Who Knew Too Much consistently tend to also love certain other things. The "strength" score shows how much more likely fans of The Man Who Knew Too Much 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.