feeldb

Lying to Be Perfect

2010 · 89 min · Director: Gary Harvey ★ IMDb 5.8 · 2,622 ratings

Show plot summary (may contain spoilers)

An overweight magazine editor leads a double life as a sassy advice columnist at night. To keep her alter ego a secret, she agrees to lose weight with two of her friends.

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Emotional fingerprint

Lying to Be Perfect (2010) — Movie. Top emotional signals: Humor 30%, Empathy 25%, Love 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

30%Humor
20%Love
  1. Humor30%
  2. Love20%

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, Empathy, Love. Genres: Comedy, Drama, Romance. AI estimate.

Is it worth watching?

Consider this title if you are looking for Humor, Empathy and Love. Its IMDb rating of 5.8/10 suggests a mixed audience reception; consider how well the emotional profile suits you. For these leading emotions, its Feel Score is 61/100.

How did it make you feel?

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Emotional journey

AI · from subtitles
  • Hope
  • Empathy
  • Tension

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Hope

Dominant emotion: Humor

Dominant emotion: Empathy

Dominant emotion: Tension

Dominant emotion: Love

Hope
Empathy
Tension
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 8 %, then peaks around 93 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityHopeEmpathyTension
2.5 %≈ 2′Hope42 %35 %33 %17 %
7.5 %≈ 7′Humor40 %26 %35 %23 %
12.5 %≈ 11′Empathy44 %21 %40 %32 %
17.5 %≈ 16′Humor50 %33 %39 %31 %
22.5 %≈ 20′Hope53 %45 %31 %21 %
27.5 %≈ 24′Humor53 %38 %34 %25 %
32.5 %≈ 29′Empathy54 %24 %44 %39 %
37.5 %≈ 33′Tension55 %26 %48 %41 %
42.5 %≈ 38′Empathy56 %36 %45 %28 %
47.5 %≈ 42′Humor56 %43 %39 %20 %
52.5 %≈ 47′Hope56 %39 %40 %35 %
57.5 %≈ 51′Tension59 %25 %46 %52 %
62.5 %≈ 56′Tension61 %20 %51 %58 %
67.5 %≈ 60′Empathy63 %29 %55 %54 %
72.5 %≈ 65′Hope64 %41 %50 %45 %
77.5 %≈ 69′Love68 %51 %43 %35 %
82.5 %≈ 73′Hope70 %55 %44 %38 %
87.5 %≈ 78′Tension75 %60 %50 %45 %
92.5 %≈ 82′Hope82 %70 %50 %37 %
97.5 %≈ 87′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

AK
Adam Kaufman

AK
Adam Kaufman

Chip / Alex

CH
Chelah Horsdal

MH
Michelle Harrison

Lori DiGrigio

JB
Julia Benson

Joy

Gabrielle Rose

Charlotte

AM
Andrew McIlroy

Chester

TS
Tania Saulnier

Angie

RD
Revard Dufresne

Trainer

ET
Elizabeth Thai

Nail Tech

DL
David Leach

Cookie Man

Details

Directed by
Gary Harvey
Written by
Nancey Silvers, Sarah Strohmeyer
Type
Movies
Released
2010
Runtime
89 min
Country
United States, Canada
Ratings
★ IMDb 5.8 · 2,622 ratings
Feels mostly
Humor
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.