Please Give
2010 · 90 min · Director: Nicole Holofcener
Show plot summary (may contain spoilers)
Two families, sort of neighbours in Manhattan, cross paths as they navigate marriage, parenthood of a teen, ennui, a first date, and end-of-life care. Rebecca and Mary are sisters; their cranky 91-year-old grandmother's neighbours, Kate and Alex, run an upscale retro-furniture business, and will expand into her flat after she dies. Rebecca is quiet, without a boyfriend until a patient at the clinic where she works introduces her grandson. Mary is acerbic, stung by a recent breakup. Kate looks for meaning in her life, wondering if she should volunteer. Alex, too, is at loose ends. Their daughter, Abby, has zits and teenage moods. What does it mean to be good?
Emotional fingerprint
Please Give (2010) — Movie. Top emotional signals: Humor 25%, Empathy 25%, Love 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
- Humor25%
- Empathy25%
- Love20%
- Sadness15%
- Satisfaction15%
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. AI estimate.
Is it worth watching?
Consider this title if you are looking for Humor, Empathy and Love. Its IMDb rating of 6.6/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 66/100.
How did it make you feel?
Votes are saved to the fingerprint once you’re signed in.
Pick up to three · 0/3
Emotional journey
- Empathy
- Humor
- Sadness
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Humor
Dominant emotion: Empathy
Dominant emotion: Sadness
Dominant emotion: Guilt
Dominant emotion: Tension
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Empathy | Humor | Sadness |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 2′ | Humor | 27 % | 15 % | 22 % | 10 % |
| 7.5 % | ≈ 7′ | Humor | 35 % | 20 % | 31 % | 9 % |
| 12.5 % | ≈ 11′ | Humor | 40 % | 21 % | 38 % | 10 % |
| 17.5 % | ≈ 16′ | Humor | 40 % | 21 % | 35 % | 15 % |
| 22.5 % | ≈ 20′ | Humor | 45 % | 26 % | 38 % | 15 % |
| 27.5 % | ≈ 25′ | Humor | 54 % | 30 % | 48 % | 13 % |
| 32.5 % | ≈ 29′ | Humor | 51 % | 28 % | 46 % | 13 % |
| 37.5 % | ≈ 34′ | Humor | 44 % | 29 % | 35 % | 14 % |
| 42.5 % | ≈ 38′ | Empathy | 49 % | 40 % | 26 % | 26 % |
| 47.5 % | ≈ 43′ | Sadness | 54 % | 48 % | 21 % | 41 % |
| 52.5 % | ≈ 47′ | Sadness | 50 % | 38 % | 28 % | 35 % |
| 57.5 % | ≈ 52′ | Humor | 45 % | 24 % | 36 % | 21 % |
| 62.5 % | ≈ 56′ | Humor | 45 % | 29 % | 31 % | 25 % |
| 67.5 % | ≈ 61′ | Sadness | 52 % | 41 % | 21 % | 34 % |
| 72.5 % | ≈ 65′ | Guilt | 60 % | 49 % | 20 % | 40 % |
| 77.5 % | ≈ 70′ | Sadness | 64 % | 54 % | 23 % | 48 % |
| 82.5 % | ≈ 74′ | Tension | 63 % | 53 % | 23 % | 44 % |
| 87.5 % | ≈ 79′ | Empathy | 59 % | 51 % | 24 % | 40 % |
| 92.5 % | ≈ 83′ | Sadness | 57 % | 52 % | 23 % | 43 % |
| 97.5 % | ≈ 88′ | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence |
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 ↗
Kadri — your film companion
AIAsk anything about Please Give. From the film’s own dialogue and FeelDB data, at your spoiler level.
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
Andra
Cathy
Marissa
Shopper
Shopper
Man Waiting for a Table
Leaf Man
Salesgirl
Details
- Directed by
- Nicole Holofcener
- Written by
- Nicole Holofcener
- Type
- Movies
- Released
- 2010
- Runtime
- 90 min
- Country
- United States
- Ratings
- Feels mostly
- Humor
- Data updated
Where to watch
Rent
Feels similar
More like this →Emotion overlap shows mood similarity, not a prediction of enjoyment.
