Righting Wrongs
1986 · 96 min · Director: Corey Yuen
Show plot summary (may contain spoilers)
Yuen Biao plays Jason Chan a lawyer, angry at the way the law seems to protect the bad guys, he decides to take the law into his own hands when a key witness and his entire family are murdered. but Cindy Si is soon on his case and it all spirals into a situation only a few will survive.
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Emotional fingerprint
Righting Wrongs (1986) — Movie. Top emotional signals: Excitement 30%, Anger 25%, Tension 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
- Excitement30%
- Anger25%
- Tension20%
- Humor15%
- Satisfaction10%
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 Excitement, Anger, Tension. Genres: Comedy, Crime, Action. AI estimate.
Is it worth watching?
Consider this title if you are looking for Excitement, Anger and Tension. Its IMDb rating of 7.1/10 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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Pick up to three · 0/3
Emotional journey
- Tension
- Sadness
- Excitement
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Tension
Dominant emotion: Sadness
Dominant emotion: Anger
Dominant emotion: Humor
Dominant emotion: Excitement
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Tension | Sadness | Excitement |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 2′ | Tension | 75 % | 67 % | 27 % | 40 % |
| 7.5 % | ≈ 7′ | Sadness | 71 % | 58 % | 44 % | 21 % |
| 12.5 % | ≈ 12′ | Anger | 61 % | 50 % | 33 % | 17 % |
| 17.5 % | ≈ 17′ | Tension | 57 % | 46 % | 10 % | 31 % |
| 22.5 % | ≈ 22′ | Humor | 58 % | 31 % | 3 % | 31 % |
| 27.5 % | ≈ 26′ | Humor | 54 % | 19 % | 2 % | 17 % |
| 32.5 % | ≈ 31′ | Humor | 54 % | 30 % | 2 % | 22 % |
| 37.5 % | ≈ 36′ | Excitement | 53 % | 41 % | 4 % | 31 % |
| 42.5 % | ≈ 41′ | Humor | 53 % | 46 % | 9 % | 28 % |
| 47.5 % | ≈ 46′ | Tension | 62 % | 58 % | 12 % | 30 % |
| 52.5 % | ≈ 50′ | Tension | 61 % | 57 % | 12 % | 30 % |
| 57.5 % | ≈ 55′ | Tension | 61 % | 57 % | 19 % | 21 % |
| 62.5 % | ≈ 60′ | Tension | 74 % | 67 % | 44 % | 18 % |
| 67.5 % | ≈ 65′ | Sadness | 83 % | 72 % | 68 % | 26 % |
| 72.5 % | ≈ 70′ | Tension | 79 % | 72 % | 56 % | 32 % |
| 77.5 % | ≈ 74′ | Tension | 73 % | 70 % | 27 % | 37 % |
| 82.5 % | ≈ 79′ | Tension | 78 % | 74 % | 31 % | 49 % |
| 87.5 % | ≈ 84′ | Sadness | 86 % | 80 % | 54 % | 54 % |
| 92.5 % | ≈ 89′ | Tension | 81 % | 75 % | 41 % | 56 % |
| 97.5 % | ≈ 94′ | Excitement | 70 % | 65 % | 14 % | 58 % |
Cinderella
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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Premise onlyAfterward 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
Connie
Black Assassin
Defense Attorney
Jason's Girlfriend
Buffalo
Policeman at Mahjong Den
Details
- Directed by
- Corey Yuen
- Written by
- Cheuk-Hon Szeto, Barry Wong, Barry Wong Ping-Yiu, Sze-To Cheuk-Hon
- Type
- Movies
- Released
- 1986
- Runtime
- 96 min
- Country
- Hong Kong
- Ratings
- Feels mostly
- Excitement
- Data updated
Where to watch
Feels similar
More like this →Emotion overlap shows mood similarity, not a prediction of enjoyment.





