feeldb

How to Be a Man

2013 · 90 min · Director: Chadd Harbold ★ IMDb 6.7 · 3,505 ratings

Show plot summary (may contain spoilers)

When former comedian Mark McCarthy is faced with a rare form of cancer, he hires a young, impressionable cameraman to document his crude and comical lessons on what it means to be a man for his unborn son.

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Emotional fingerprint

How to Be a Man (2013) — Movie. Top emotional signals: Humor 35%, Inspiration 25%, Empathy 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

  1. Humor35%
  2. Joy10%

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, Inspiration, Empathy. Genres: Comedy. AI estimate.

Is it worth watching?

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

How did it make you feel?

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Emotional journey

AI · from subtitles
  • Humor
  • Tension
  • Disgust

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Humor

Dominant emotion: Disgust

Dominant emotion: Tension

Dominant emotion: Sadness

Dominant emotion: Hope

Humor
Tension
Disgust
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. Not enough subtitle evidence
Ending hidden

Dominant emotion

Intensity dips around 3 %, then peaks around 63 %, then peaks around 83 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityHumorTensionDisgust
2.5 %≈ 2′Humor48 %45 %13 %18 %
7.5 %≈ 7′Humor54 %51 %21 %14 %
12.5 %≈ 11′Humor56 %54 %30 %14 %
17.5 %≈ 16′Humor55 %53 %32 %20 %
22.5 %≈ 20′Humor59 %54 %31 %36 %
27.5 %≈ 25′Disgust60 %53 %29 %43 %
32.5 %≈ 29′Humor56 %50 %24 %36 %
37.5 %≈ 34′Humor56 %51 %20 %39 %
42.5 %≈ 38′Humor56 %53 %21 %36 %
47.5 %≈ 43′Humor55 %50 %25 %25 %
52.5 %≈ 47′Humor56 %44 %36 %20 %
57.5 %≈ 52′Tension60 %38 %50 %25 %
62.5 %≈ 56′Tension66 %31 %59 %34 %
67.5 %≈ 61′Tension65 %29 %56 %31 %
72.5 %≈ 65′Humor59 %31 %43 %18 %
77.5 %≈ 70′Sadness63 %32 %29 %11 %
82.5 %≈ 74′Hope66 %38 %25 %15 %
87.5 %≈ 79′Humor63 %45 %30 %16 %
92.5 %≈ 83′Humor58 %47 %28 %13 %
97.5 %≈ 88′Not enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidence
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

GM
Gavin McInnes

Liam Aiken

Bryan

MN
Megan Neuringer

MN
Megan Neuringer

Margot

HR
Helen Rogers

Kaitlin

MR
Marisa Redanty

Bryan's Mom

ND
Nigel DeFriez

Felix

JO
Jasmine Osborne

Annabelle

NB
Nicole Balsam

Gabby

Details

Directed by
Chadd Harbold
Written by
Chadd Harbold, Bryan Gaynor, Gavin McInnes
Type
Movies
Released
2013
Runtime
90 min
Country
United States
Genres
Comedy
Ratings
★ IMDb 6.7 · 3,505 ratings
Feels mostly
Humor
Data updated

Where to watch

Data: JustWatch · Wikidata

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