The Big Bounce

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15%24%

Douban:

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OFDb:

adultery aerial camera shot bare breasts bare butt bare chested male based on novel beach beach house betrayal bikini blackmail blonde blonde woman boat boxing boxing ring breaking and entering butt slap car crash cell phone character repeats someone else's dialogue cigarette smoking climbing through a window cockney accent consensual sex construction site copulation corpse deception dominoes double barreled shotgun double cross drinking beer drunkenness erotica ex convict falling down stairs female full frontal nudity female nudity female rear nudity female removes her clothes femme fatale fired from a job fondling freeze frame harmonica hawaii head butt held at gunpoint helicopter hit with a baseball bat hitchhiking home invasion homosexual hunting lodge husband wife relationship infidelity interracial relationship island judge leg spreading limousine literary adaptation loss of job lust man punches a woman manipulation murder neck brace nipples visible through clothing nude sunbathing nude swimming overalls panties pipe smoking pistol protest public nudity punched in the face punched in the stomach racial slur raised middle finger robbery safe scam scantily clad female scene during closing credits scheming scheming wife seduction shot in the head shotgun skinny dipping stealing a car supermarket surfer surfing surprise ending taunting tied to a bed underwater scene undressing unhappy marriage upskirt voice over narration waterfall white panties woman punches a man woman wears a bikini yacht yellow bikini

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Stars:

Supporting cast:

Other cast:

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Production

Race	White	Black	Mixed / Other	Jewish	Latino	Total	Visuals	Info
Ethnic	6	1	1	1		9		This is the most reliable data source for accurate ethnic breakdowns of famous people. Often the information is crowdsourced by users and they cite all their sources (family trees, obituaries, census archives, etc.) on the bottom of the page. The only issue is converting their ambiguous and inconsistent verdicts into quantifiable variables. Source: https://ethnicelebs.com/
Forebears	3	2	1			6
Kairos	3				1	4		A third party facial recognition software company we used to maintain objectivity. Upload images to the facial recognition demo page to check the veracity of our data set. Or use their API and do a bulk peer review if you'd like. Source: https://www.kairos.com/demos
Crowd	1					1		This is the crowdsourced dataset created by users like you! We greatly appreciate your cooperation in making ZR the most accurate and massive database on the internet. Sometimes the verdicts are submitted by looks alone, sometimes users attach an image and a source link. Due to this inconsistency please take the results with a grain of salt and click each actor for more info.
Total	13	3	2	1	1	20
Cast Percentages	65%	15%	10%	5%	5%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":65,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":15,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":10,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":5,"color":"#ff0066","sliced":true,"selected":true},{"name":"Latino","y":5,"color":"#eeaaee","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2000) Percentage	69.1%	12.3%	3.96%	1.85%	12.5%		{"name":"U.S. Population (2000)","series":[{"name":"White","y":69.1,"color":"#2b908f"},{"name":"Arab","y":0.42,"color":"#DF5353"},{"name":"Asian","y":4.23,"color":"#90ee7e"},{"name":"Black","y":12.3,"color":"#f45b5b"},{"name":"Indian","y":0.6,"color":"#7798BF"},{"name":"Indigenous","y":0.9,"color":"#aaeeee"},{"name":"Latino","y":12.5,"color":"#eeaaee"},{"name":"Mixed \/ Other","y":3.96,"color":"#55BF3B"},{"name":"Jewish","y":1.85,"color":"#ff0066"}],"prefix":""}	Source: US Census (Note: Racial and ethnic categories overlap so the sum will not equal 100%.)
U.S. Population (2000) Representation	-4.1	+2.7	+6.04	+3.15	-7.5		{"name":"U.S. Population (2000)","series":[["White",69.1],["Black",12.3],["Mixed \/ Other",3.96],["Jewish",1.85],["Latino",12.5]],"cast":[{"name":"White","y":65,"color":"#2b908f"},{"name":"Black","y":15,"color":"#f45b5b"},{"name":"Mixed \/ Other","y":10,"color":"#55BF3B"},{"name":"Jewish","y":5,"color":"#ff0066"},{"name":"Latino","y":5,"color":"#eeaaee"}]}
U.S. Buying Power (2000) Percentage	81.25%	7.72%	0.76%		6.26%		{"name":"U.S. Buying Power (2000)","series":[{"name":"White","y":6413300000000,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":276400000000,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":609100000000,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":40300000000,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":494000000000,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":60300000000,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2000) Representation	-16.25	+7.28	+9.24		-1.26		{"name":"U.S. Buying Power (2000)","series":[["White",81.25],["Black",7.72],["Mixed \/ Other",0.76],["Jewish",0],["Latino",6.26]],"cast":[{"name":"White","y":65,"color":"#2b908f"},{"name":"Black","y":15,"color":"#f45b5b"},{"name":"Mixed \/ Other","y":10,"color":"#55BF3B"},{"name":"Jewish","y":5,"color":"#ff0066"},{"name":"Latino","y":5,"color":"#eeaaee"}]}
U.S. Average Individual Income (2018) Percentage	75.87%	9.09%	3.01%		6.17%		{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":12602171841485,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":855738909559,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1510238248985,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":117771906861,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1024818543000,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":499678799876,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	-10.87	+5.91	+6.99		-1.17		{"name":"U.S. Average Individual Income (2018)","series":[["White",75.87],["Black",9.09],["Mixed \/ Other",3.01],["Jewish",0],["Latino",6.17]],"cast":[{"name":"White","y":65,"color":"#2b908f"},{"name":"Black","y":15,"color":"#f45b5b"},{"name":"Mixed \/ Other","y":10,"color":"#55BF3B"},{"name":"Jewish","y":5,"color":"#ff0066"},{"name":"Latino","y":5,"color":"#eeaaee"}]}
World population (2004) Percentage	15.91%	11.91%	1.86%	0.34%	5.72%		{"name":"World population (2004) ","series":[{"name":"Mixed \/ Other","y":11924907184,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Latino","y":36670148715,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Indigenous","y":8784070102,"color":"#aaeeee","sliced":true,"selected":true},{"name":"White","y":101964215097,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":76336738429,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Asian","y":215422687914,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Arab","y":50304600945,"color":"#DF5353","sliced":true,"selected":true},{"name":"Indian","y":137131951688,"color":"#7798BF","sliced":true,"selected":true},{"name":"Jewish","y":2166556923,"color":"#ff0066","sliced":true,"selected":true}],"prefix":""}	NOTE: ZR is the first organization to ever create a global buying power divided by race. Essentially we just took data from CIA.gov FactBook, UN Population Estimates, and The World Bank's Population Estimates / Purchasing Power Parity Per Capita.
World population (2004) Representation	+49.09	+3.09	+8.14	+4.66	-0.72		{"name":"World population (2004) ","series":[["White",15.91],["Black",11.91],["Mixed \/ Other",1.86],["Jewish",0.34],["Latino",5.72]],"cast":[{"name":"White","y":65,"color":"#2b908f"},{"name":"Black","y":15,"color":"#f45b5b"},{"name":"Mixed \/ Other","y":10,"color":"#55BF3B"},{"name":"Jewish","y":5,"color":"#ff0066"},{"name":"Latino","y":5,"color":"#eeaaee"}]}
World Buying Power Percentage	36.48%	6.38%	1.81%	1.11%	9.35%		{"name":"World Buying Power","series":[{"name":"White","y":3010602822170000,"color":"#2b908f","sliced":true,"selected":true},{"name":"Latino","y":771525888400000,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Jewish","y":91700962050000,"color":"#ff0066","sliced":true,"selected":true},{"name":"Black","y":526264226360000,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indigenous","y":174285727610000,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":148984454560000,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Arab","y":526400066100000,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":2431392083750000,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Indian","y":572687873900000,"color":"#7798BF","sliced":true,"selected":true}],"prefix":"$"}	NOTE: ZR is the first organization to ever create a global buying power divided by race. Essentially we just took data from CIA.gov FactBook, UN Population Estimates, and The World Bank's Population Estimates / Purchasing Power Parity Per Capita.
World Buying Power Representation	+28.52	+8.62	+8.19	+3.89	-4.35		{"name":"World Buying Power","series":[["White",36.48],["Black",6.38],["Mixed \/ Other",1.81],["Jewish",1.11],["Latino",9.35]],"cast":[{"name":"White","y":65,"color":"#2b908f"},{"name":"Black","y":15,"color":"#f45b5b"},{"name":"Mixed \/ Other","y":10,"color":"#55BF3B"},{"name":"Jewish","y":5,"color":"#ff0066"},{"name":"Latino","y":5,"color":"#eeaaee"}]}
Notes			The "Mixed / Other" categories overlap, and the 2 or more category was not an option until the 2000 Census. So for the combined column, all data will be taken from the "Other" column except for 2000, 2010, & 2020. For those, the average between the "2 or More Races" and "Some Other Race" will be used.	If there were any inconsistencies with percentages calculated using our Census data, the Jewish Data Bank percentages were the ones used. Also please review the Jewish Data Bank pdf to understand the difference between the "Core" Jewish population and the "Extended" / "Law of Return" Jewish populations. We are displaying the "Core" Jewish populations since that is what the Jewish Data Bank and Wikipedia articles chose. Also, the 1942 population estimates were used for the 1940 row. For the 2000 estimates, the "Core" definition was not used, so we used the 5.2 mil broader estimate instead of the 4.3 mil estimate since the 5.2 broader estimate seemed too drastic of a drop and the definitions weren't congruent with Core and Law of Return.	Many Latinos check "White" or "Other" on the Census. So this overlaps with "Mixed" race and "White." Also, when there was a discrepancy with the percentage listed on the Wikipedia table and our calculated numbers, the Wiki table's numbers were used. Likewise, when the population total was missing from the Census pdf, the estimate was calculated using the percentage from the Wiki table. NOTE: It turns out that the reason America doesn't have a separate "Latino" race is because the League of Latin American Citizens protested against discrimination towards Mexicans and got themselves to legally be considered "White." Check the research links in our Google Doc for more info.

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61% of the Stars & Main Cast are Female.

47% of the Stars & Main Cast are "diverse."

White53.33%Asian26.67%Black6.67%Latino6.67%Mixed / Other6.67%

0.35

LGBTQ content included:

lesbian, lgbt, bisexual

Possibly woke elements:

BechdeltestPassed!

Commonsensemedia

Message2/5
Role model4/5
Violence4/5
Sex4/5
Language4/5
Consumerism3/5
Drugs4/5

Dove

Sex5/5
Language5/5
Violence4/5
Drugs5/5
Nudity4/5

This film gets a 0.35/5 family friendly score

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RottenTomatoes:

84%73%

Douban:

Eiga:

IMDb:

Kinopoisk:

Metacritic:

Metacritic User:

Moviemeter:

OFDb:

Wokeness

Mediaversity:

Thecherrypicks:

foreign language adaptation, based on novel

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Clean Slate (1981)

Summary: A pathetic police chief, humiliated by everyone around him, suddenly wants a clean slate in life - and resorts to drastic means to do so.

Release Date: November 04, 1981

Genres: Comedy, Drama, Crime

Director: Bertrand Tavernier

Writers: Jean Aurenche

, Bertrand Tavernier

, Jim Thompson

Runtime: 2 h 08 min

MPAA: Not Rated

Production: Les Films de la Tour, Films A2, Little Bear

Distributor: Moreno Films, Quartet Films, Embassy Home Entertainment, The Criterion Collection, The Criterion Channel

Country: France

Language: French

Domestic: $ 11,527

Box office:

Domestic:$11.5KWorldwide:$11.5K

Adaptation/remake:

RottenTomatoes:

83%83%

No Metacritic ratings imported yet.

17%7%

17% of the Stars & Main Cast are Female.

7% of the Stars & Main Cast are "diverse."

White85.71%Black7.14%Jewish7.14%

N/A

Possibly woke elements:

racism,colonialism

No MPAA or IMDb parental guidance data has been imported yet.
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RottenTomatoes:

83%83%

Douban:

IMDb:

Kinopoisk:

Moviemeter:

OFDb:

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Bandidas (2006)

Summary: In turn-of-the-century Mexico, two very different women become a bank-robbing duo in an effort to combat a ruthless enforcer terrorizing their town.

Release Date: January 18, 2006

Genres: Action, Comedy, Crime

Directors: Joachim Rønning

, Espen Sandberg

Writers: Luc Besson

, Robert Mark Kamen

Runtime: 1 h 33 min

MPAA: PG-13

Production: EuropaCorp, TF1 Films Production, A.J.O.Z. Films, Major Studio Partners, TPS Star, A.J.O.Z. Films

Distributor: Oxygen Media, HBO Max

Countries: France, Mexico, United States

Language: English

Movie budget: $ 32,000,000

Box office:

Budget:$32MWorldwide:$18.4M

-13%

The Rotten Tomatoes audience rated this -13% lower than the critics.

56%43%

No Metacritic ratings imported yet.

28%38%

28% of the Stars & Main Cast are Female.

38% of the Stars & Main Cast are "diverse."

White62.5%Latino25%Asian6.25%Mixed / Other6.25%

N/A

Possibly woke elements:

feminist,strong female lead,strong female character,class differences,feminism,action heroine

BechdeltestPassed!No MPAA or IMDb parental guidance data has been imported yet.
Please help improve our site and

RottenTomatoes:

56%43%

Douban:

Eiga:

IMDb:

Kinopoisk:

Moviemeter:

OFDb:

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Agathe Koltès (2016)

Summary: French detective story of a very successful detective but neglectful mother who works for her successful detective daughter. The fact that they are related remains a secret and a point of conflict for the resentful daughter.

Release Date: May 07, 2016

Genres: Comedy, Drama, Crime

Production: GMT Productions, France Télévisions

Country: France

Language: French

N/A

No Rotten Tomatoes ratings imported yet.

No Metacritic ratings imported yet.

39%0%

39% of the Stars & Main Cast are Female.

0% of the Stars & Main Cast are "diverse."

White100%

N/A

No MPAA or IMDb parental guidance data has been imported yet.
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IMDb:

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Total found: 20

Other sources

Parental Guide: +add

This film gets a 2/5 family friendly score

MPAA Certification	No MPAA rating found yet. Add Family Friendly Rating?
IMDb Rating https://www.imdb.com/title/tt0315824/parentalguide last updated: 2024-10-26Update data
Commonsensemedia Rating https://www.commonsensemedia.org/movie-reviews/the-big-bounce last updated: 2024-10-26Update data
Violence 3/5	Comic violence, characters badly hurt and killed.
Sex 3/5	Sexual references and situations, partial nudity.
Language 3/5	Strong language.
Drugs 3/5	Drinking, smoking, character abuses alcohol, drug references.
Dove Rating https://dove.org/review/4329-the-big-bounce/
Faith 0/5	None
Sex 3/5	None
Language 4/5	None
Violence 2/5	None
Drugs 2/5	None
Nudity 3/5	None
Other 0/5	None