
If You Like Johnny Dangerously(1984)
Based on real preference data from thousands of voters, here's what fans of Johnny Dangerously also love.
56 connections found
#1255xSpies Like Us
1985
#2159xStripes
1981
#3138xScrooged
2018
#4115xTrading Places
1983
#597xCaddyshack
1980
#691xBeverly Hills Cop
1984
#782xWeird Science
1985
#878xBlazing Saddles
1974
#973xYoung Frankenstein
1974
#1061xBill & Ted's Excellent Adventure
1989
#1160xBig Trouble in Little China
1986
#1258xAirplane!
1980
#1357xRobin Hood: Men in Tights
1993
#1449xBig
1988
#1549xGalaxy Quest
1999
#1648xGremlins
1984
#1746xSpaceballs
1987
#1842xWho Framed Roger Rabbit
1988
#1934xWilly Wonka & the Chocolate Factory
1971
#2033xThe Goonies
1985
#2129xPredator
1987
#2228xTotal Recall
1990
#2327xGhostbusters
1984
#2427xThe Addams Family
1991
#2523xOffice Space
1999
#2623xMonty Python and the Holy Grail
1975raiders of the lost ark
#2821xGroundhog Day
1993
#2920xDie Hard
1988
#3020xBeetlejuice
1988
#3119xThe Princess Bride
1987
#3218xIndiana Jones and the Last Crusade
1989
#3318xBack to the Future Part II
1989Terminator
1984
#3516xThe Fifth Element
1997
#3616xIndiana Jones and the Temple of Doom
1984
#3714xTerminator 2: Judgment Day
1991
#3814xAlien
1979
#3913xMen in Black
1997
#4012xThe Sixth Sense
1999
#4112xThe Breakfast Club
1985
#4212xThe Shining
1980
#4312xZombieland
2009
#4412xBack to the Future
1985
#4511xJurassic Park
1993
#468.5xThe Silence of the Lambs
1991
#478.3xReservoir Dogs
1992
#488.2xIron Man
2008
#497.3xThe Truman Show
1998
#507.3xThe Shawshank Redemption
1994
#516.8xThe Matrix
1999
#526.3xForrest Gump
1994
#536.2xThe Dark Knight
2008
#546.0xPulp Fiction
1994
#554.9xFight Club
1999
#564.2xInception
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 Johnny Dangerously consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Johnny Dangerously 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.