feeldb

We Are the Nobles

2013 · 108 min · Director: Gary Alazraki ★ IMDb 7.3 · 11,614 ratings

Show plot summary (may contain spoilers)

Three spoiled children are cut off from their family fortune and forced to do the unthinkable: get jobs.

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Emotional fingerprint

We Are the Nobles (2013) — Movie. Top emotional signals: Humor 35%, Joy 25%, Satisfaction 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

  1. Humor35%
  2. Joy25%
  3. Relief10%

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 Humor, Joy, Satisfaction. Genres: Comedy. AI estimate.

Is it worth watching?

Consider this title if you are looking for Humor, Joy and Satisfaction. Its IMDb rating of 7.3/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 73/100.

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Emotional journey

AI · from subtitles
  • Humor
  • Tension
  • Surprise

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Humor

Dominant emotion: Tension

Dominant emotion: Empathy

Dominant emotion: Surprise

Dominant emotion: Joy

Humor
Tension
Surprise
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 peaks around 88 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityHumorTensionSurprise
2.5 %≈ 3′Humor37 %37 %10 %5 %
7.5 %≈ 8′Humor40 %39 %16 %11 %
12.5 %≈ 14′Humor44 %38 %27 %20 %
17.5 %≈ 19′Humor48 %35 %36 %24 %
22.5 %≈ 24′Tension51 %40 %38 %25 %
27.5 %≈ 30′Humor49 %44 %29 %20 %
32.5 %≈ 35′Humor45 %41 %28 %14 %
37.5 %≈ 41′Humor48 %43 %36 %11 %
42.5 %≈ 46′Humor50 %43 %38 %13 %
47.5 %≈ 51′Empathy50 %41 %31 %16 %
52.5 %≈ 57′Humor50 %43 %28 %18 %
57.5 %≈ 62′Empathy53 %45 %25 %19 %
62.5 %≈ 68′Humor55 %42 %26 %23 %
67.5 %≈ 73′Tension54 %32 %38 %29 %
72.5 %≈ 78′Humor54 %30 %46 %29 %
77.5 %≈ 84′Tension59 %34 %53 %27 %
82.5 %≈ 89′Tension65 %39 %55 %41 %
87.5 %≈ 95′Surprise66 %43 %38 %44 %
92.5 %≈ 100′Joy61 %43 %23 %24 %
97.5 %≈ 105′Humor55 %42 %28 %13 %
Man in a hole

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

GV
Gonzalo Vega

JP
Juan Pablo Gil

Cha Noble

IG
Ianis Guerrero

Lucho

MH
Mario Haddad

Anwar Kaim

KS
Karla Sofía Gascón

Peter Pintado

AZ
Alberto Zeni

Juan Pablo

FA
Francisco Aguirre

Judge Molinar

CA
Carlos Alazraki Grossman

University Director

GA
Gary Alazraki

Santiago

MA
Mark Alazraki

Pollo

RM
Richie Mestre

Amigo Javi

MP
Mary Paz Mata

Margarita

MB
Mariana Braun

Profesora Lucia

CA
Cynthia Alazraki

Vendedora Tienda de ropa

OC
Octavio Castro

El Duende

AK
Ana Karina Guevara

Carmen

AN
Adriana Nieto

Receptionista Registro Civil

Details

Directed by
Gary Alazraki
Written by
Patricio Saiz, Gary Alazraki, Adrian Zurita
Type
Movies
Released
2013
Runtime
108 min
Country
Mexico
Genres
Comedy
Ratings
★ IMDb 7.3 · 11,614 ratings
Feels mostly
Humor
Data updated

Where to watch

Also on

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Data: JustWatch · Wikidata

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