feeldb

Faults

2014 · 90 min · Director: Riley Stearns ★ IMDb 6.7 · 11,710 ratings

Show plot summary (may contain spoilers)

Washed-up and broke, an author whose books on mind control were once respected reluctantly helps a couple in deprogramming their daughter from the control of a cult named "Faults." But this assignment turns out to be more complicated than he had expected.

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Emotional fingerprint

Faults (2014) — Movie. Top emotional signals: Confusion 30%, Anxiety 25%, Tension 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

  1. Fear15%

AI estimate · no viewer votes yet

How we measure

AI estimate

Share of emotional signal, not the percentage of people or a probability of enjoyment.

Each viewer contributes one response, split equally across their selected emotions. When available, an automated estimate supplies a prior that is blended with those responses. Counts include distinct viewers, not automated estimates or archived anonymous votes. Fewer than 3 viewers is an early estimate; more responses do not guarantee certainty.

Why it feels this way

The strongest emotional signals are Confusion, Anxiety, Tension. Genres: Thriller, Drama, Mystery. AI estimate.

Is it worth watching?

Consider this title if you are looking for Confusion, Anxiety and Tension. Its IMDb rating of 6.7/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 69/100.

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Emotional journey

AI · from subtitles
  • Tension
  • Disturbing
  • Curiosity

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Humor

Dominant emotion: Curiosity

Dominant emotion: Tension

Dominant emotion: Disturbing

Tension
Disturbing
Curiosity
Emotional journey Emotional intensity over the film’s runtime, from quieter to stronger on a fixed 0–1 scale. Hatched intervals have insufficient subtitle evidence. The table provides the values.
Ending hidden

Dominant emotion

Intensity dips around 3 %, then rises around 68 %, then peaks around 98 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityTensionDisturbingCuriosity
2.5 %≈ 2′Humor42 %25 %7 %27 %
7.5 %≈ 7′Humor44 %32 %13 %36 %
12.5 %≈ 11′Curiosity48 %39 %20 %45 %
17.5 %≈ 16′Curiosity55 %46 %33 %45 %
22.5 %≈ 20′Tension59 %55 %40 %39 %
27.5 %≈ 25′Tension56 %55 %41 %39 %
32.5 %≈ 29′Tension59 %55 %46 %48 %
37.5 %≈ 34′Tension61 %56 %49 %55 %
42.5 %≈ 38′Curiosity57 %50 %43 %60 %
47.5 %≈ 43′Curiosity55 %45 %39 %57 %
52.5 %≈ 47′Tension56 %50 %38 %46 %
57.5 %≈ 52′Tension59 %57 %31 %43 %
62.5 %≈ 56′Tension64 %61 %38 %54 %
67.5 %≈ 61′Curiosity73 %66 %59 %64 %
72.5 %≈ 65′Disturbing80 %74 %75 %65 %
77.5 %≈ 70′Disturbing84 %80 %81 %68 %
82.5 %≈ 74′Tension84 %79 %81 %68 %
87.5 %≈ 79′Disturbing84 %75 %81 %61 %
92.5 %≈ 83′Disturbing88 %75 %85 %59 %
97.5 %≈ 88′Disturbing90 %72 %88 %63 %
Riches to rags

Rags to riches: The emotional tone rises from negative to positive.

Riches to rags: The emotional tone falls from positive to negative.

Man in a hole: The tone falls, then recovers.

Icarus: The tone rises, then falls.

Cinderella: The tone rises, falls, then rises again.

Oedipus: The tone falls, rises, then falls again.

AI reading of the film’s English subtitles (dialogue and sound cues) — not viewer votes. How we measure ↗

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Afterward Reveal viewer responses · may contain spoilers

Viewer responses about feelings after the title ended, separate from feelings while watching. No AI estimates.

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Cast

LO
Leland Orser

CE
Chris Ellis

Jon Gries

Terry

Beth Grant

Evelyn

CF
Cruz Flores

Hotel Staff

AJ Bowen

Angry Patron

NT
Nicholas Tucci

James

SA
Suzan Averitt

Photo Studio Customer

LE
Leonard Earl Howze

Raymond

DJ
Davey Johnson

Concierge

KM
Kellie Matteson

Jennifer

AS
Amanda Saunders

Receptionist

SW
Shira Weitz

Perky Waitress

DZ
David Zellner

Restaurant Manager

Details

Directed by
Riley Stearns
Written by
Riley Stearns
Type
Movies
Released
2014
Runtime
90 min
Country
United States
Ratings
★ IMDb 6.7 · 11,710 ratings
Feels mostly
Confusion
Data updated

Where to watch

Also on

Availability varies by country

Data: JustWatch · Wikidata

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Emotion overlap shows mood similarity, not a prediction of enjoyment.