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Very Bad Things

If You Like Very Bad Things(1998)

Based on real preference data from thousands of voters, here's what fans of Very Bad Things also love.

61 connections found

61 connections
Sort by
True Romance#156x

True Romance

1993
67 voters
From Dusk Till Dawn#236x

From Dusk Till Dawn

1996
66 voters
Natural Born Killers#335x

Natural Born Killers

1994
Thriller
68 voters
Jackie Brown#431x

Jackie Brown

1997
59 voters
The Game#527x

The Game

1997
57 voters
In Bruges#623x

In Bruges

2008
50 voters
Fear and Loathing in Las Vegas#720x

Fear and Loathing in Las Vegas

1998
60 voters
Lock, Stock and Two Smoking Barrels#820x

Lock, Stock and Two Smoking Barrels

1998
60 voters
Twelve Monkeys#920x

Twelve Monkeys

1996
56 voters
Full Metal Jacket#1019x

Full Metal Jacket

1987
Action
74 voters
Office Space#1118x

Office Space

1999
50 voters
Fargo#1218x

Fargo

1996
Thriller
72 voters
Die Hard#1318x

Die Hard

1988
57 voters
Scarface#1417x

Scarface

1983
53 voters
Being John Malkovich#1517x

Being John Malkovich

1999
55 voters
Ghostbusters#1617x

Ghostbusters

1984
Horror
50 voters
Sin City#1716x

Sin City

2005
65 voters
Beetlejuice#1816x

Beetlejuice

1988
53 voters
The Fifth Element#1915x

The Fifth Element

1997
59 voters
Terminator 2: Judgment Day#2015x

Terminator 2: Judgment Day

1991
62 voters
Snatch#2115x

Snatch

2001
Action
68 voters
Groundhog Day#2214x

Groundhog Day

1993
53 voters
#2314x

Goodfellas

1990
Thriller
64 voters
Shaun of the Dead#2414x

Shaun of the Dead

2004
Horror
59 voters
Back to the Future Part II#2514x

Back to the Future Part II

1989
50 voters
American Psycho#2613x

American Psycho

2000
72 voters
Minority Report#2713x

Minority Report

2002
Thriller
52 voters
The Big Lebowski#2813x

The Big Lebowski

1998
70 voters
Alien#2913x

Alien

1979
Sci-Fi
53 voters
Zombieland#3013x

Zombieland

2009
Horror
61 voters
American History X#3112x

American History X

1998
75 voters
The Sixth Sense#3212x

The Sixth Sense

1999
60 voters
Reservoir Dogs#3312x

Reservoir Dogs

1992
79 voters
No Country for Old Men#3412x

No Country for Old Men

2007
62 voters
The Shining#3511x

The Shining

1980
63 voters
The Breakfast Club#3611x

The Breakfast Club

1985
52 voters
Trainspotting#3711x

Trainspotting

1996
58 voters
The Hangover#3811x

The Hangover

2009
54 voters
The Departed#399.8x

The Departed

2006
58 voters
Donnie Darko#409.3x

Donnie Darko

2001
Thriller
70 voters
Requiem for a Dream#419.3x

Requiem for a Dream

2000
54 voters
Jurassic Park#429.2x

Jurassic Park

1993
51 voters
Se7en#438.7x

Se7en

1995
Thriller
61 voters
The Silence of the Lambs#448.6x

The Silence of the Lambs

1991
Thriller
63 voters
Gladiator#458.5x

Gladiator

2000
Thriller
51 voters
The Truman Show#468.2x

The Truman Show

1998
72 voters
Django Unchained#478.0x

Django Unchained

2012
56 voters
Back to the Future#487.5x

Back to the Future

1985
52 voters
Pulp Fiction#497.4x

Pulp Fiction

1994
85 voters
The Shawshank Redemption#507.2x

The Shawshank Redemption

1994
66 voters
Inglourious Basterds#517.2x

Inglourious Basterds

2009
Action
57 voters
Eternal Sunshine of the Spotless Mind#527.1x

Eternal Sunshine of the Spotless Mind

2004
59 voters
V for Vendetta#537.0x

V for Vendetta

2006
Action
52 voters
The Prestige#547.0x

The Prestige

2006
Action
54 voters
Catch Me If You Can#557.0x

Catch Me If You Can

2003
51 voters
Shutter Island#567.0x

Shutter Island

2010
Thriller
55 voters
Fight Club#576.6x

Fight Club

1999
Action
89 voters
The Matrix#586.6x

The Matrix

1999
69 voters
The Dark Knight#596.5x

The Dark Knight

2008
Action
61 voters
Forrest Gump#605.8x

Forrest Gump

1994
Action
54 voters
Inception#614.2x

Inception

2010
56 voters

How 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 Very Bad Things consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Very Bad Things 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.