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I Give It a Year

2013 · 97 min · Director: Dan Mazer, Dan Mazer ★ IMDb 5.7 · 41,303 ratings

Show plot summary (may contain spoilers)

After a seven month long passion-filled courtship, thirty-something Londoners Natasha Redford and Josh Moss get married despite they being mismatched in personality and temperament, something that their closest friends and family members can see - some who predict the marriage won't last a year - even if Nat and Josh themselves don't see it. Nat, a marketing company manager, is more professional and controlled. Josh, a novelist with a current case of writer's block, is more carefree and childlike. Nine months into their marriage, Nat and Josh have their first session with arguably the most distracted marriage counselor in the city, that session which may be the deciding factor in whether they continue in being husband and wife to each other. Their issues over the preceding nine months are told in flashback, and include little idiosyncrasies which annoy the other, and tensions with each's in-laws, beyond the general differences in their personalities. But what may be the biggest threat to a happily-ever-after for them as a couple may be temptations with others to who, at least on paper, each is more well suited. For Nat, that temptation is client Guy Harrap, an American manufacturer who, unknown to Nat, hired her firm solely in his personal attraction to her. For Josh, that temptation is his old girlfriend Chloe, an aide worker who only recently reentered his life after a four year stint away working in Africa, the two of them in theory never having really broken up in the first place.

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Emotional fingerprint

I Give It a Year (2013) — Movie. Top emotional signals: Humor 30%, Love 25%, Smile 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

30%Humor
25%Love
20%Smile
  1. Humor30%
  2. Love25%
  3. Smile20%

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, Love, Smile. Genres: Comedy, Romance. AI estimate.

Is it worth watching?

Consider this title if you are looking for Humor, Love and Smile. Its IMDb rating of 5.7/10 suggests a mixed audience reception; consider how well the emotional profile suits you. For these leading emotions, its Feel Score is 58/100.

How did it make you feel?

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Pick up to three · 0/3

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Emotional journey

AI · from subtitles
  • Humor
  • Love
  • Tension

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Humor

Dominant emotion: Tension

Humor
Love
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.
Ending hidden

Dominant emotion

Intensity dips around 33 %, then peaks around 93 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityHumorLoveTension
2.5 %≈ 2′Humor58 %57 %29 %18 %
7.5 %≈ 7′Humor56 %54 %29 %23 %
12.5 %≈ 12′Humor54 %53 %19 %25 %
17.5 %≈ 17′Humor52 %51 %10 %21 %
22.5 %≈ 22′Humor49 %47 %10 %21 %
27.5 %≈ 27′Humor46 %40 %12 %29 %
32.5 %≈ 32′Humor46 %38 %15 %35 %
37.5 %≈ 36′Humor50 %45 %14 %38 %
42.5 %≈ 41′Humor55 %51 %15 %38 %
47.5 %≈ 46′Humor57 %54 %25 %30 %
52.5 %≈ 51′Humor59 %57 %29 %29 %
57.5 %≈ 56′Humor60 %58 %19 %34 %
62.5 %≈ 61′Humor61 %59 %11 %34 %
67.5 %≈ 65′Humor55 %52 %13 %34 %
72.5 %≈ 70′Humor49 %38 %19 %38 %
77.5 %≈ 75′Tension49 %33 %22 %37 %
82.5 %≈ 80′Humor51 %41 %26 %29 %
87.5 %≈ 85′Humor58 %53 %34 %30 %
92.5 %≈ 90′Humor62 %58 %36 %30 %
97.5 %≈ 95′Humor58 %57 %27 %22 %
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 ↗

Afterward Reveal viewer responses · may contain spoilers

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

0 responses so far

Feeling details appear after at least 3 viewers respond, to protect privacy.

Cast

AM
Alex Macqueen

Anna Faris

Chloe

JA
Jane Asher

Diana

NP
Nigel Planer

Brian

AB
Alisha Bailey

Kate

KH
Kerry Howard

Clare

DH
Daisy Haggard

Helen

TK
Tim Key

Alan

DS
Djalenga Scott

Alexandra

JM
Joseph Millson

Charlie

SW
Sue Wallace

Janet

HH
Hasina Haque

Preeta

Details

Directed by
Dan Mazer, Dan Mazer
Written by
Dan Mazer, Dan Mazer
Type
Movies
Released
2013
Runtime
97 min
Country
United Kingdom, France, United States
Ratings
★ IMDb 5.7 · 41,303 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.