Everything Went Fine

Summary: When André, 85, has a stroke, Emmanuelle hurries to her father's bedside. Sick and half-paralyzed in his hospital bed, he asks Emmanuelle to help him end his life. But how can you honor such a request when it's your own father?

Release Date: September 22, 2021

Genre: Drama

Director: François Ozon

Writers: Emmanuèle Bernheim

, François Ozon

, Philippe Piazzo

Runtime: 1 h 53 min

Production: Mandarin Films, FOZ, France 2 Cinéma, Playtime Production, Scope Pictures

Countries: France, Belgium

Language: French

Box office:

Worldwide:$2.2M

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56%17%

56% of the Stars & Main Cast are Female.

17% of the Stars & Main Cast are "diverse."

White83.33%Arab5.56%Asian5.56%Latino5.56%

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CONTENT BREAKDOWN

Methodology

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Methodology

Cast

Stars:

Supporting cast:

Other Cast, Production

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Production:

Representation

Star

Supporting

Other

Production

Race	White	Jewish	Asian	Black	Total	Visuals	Info
Ethnic	7	2	1		10		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/
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
Forebears	3				3
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	14	2	1	1	18
Cast Percentages	77.78%	11.11%	5.56%	5.56%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":77.78,"color":"#2b908f","sliced":true,"selected":true},{"name":"Jewish","y":11.11,"color":"#ff0066","sliced":true,"selected":true},{"name":"Asian","y":5.56,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":5.56,"color":"#f45b5b","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2010) Percentage	63.7%	1.71%	5.61%	12.6%		{"name":"U.S. Population (2010)","series":[{"name":"White","y":63.7,"color":"#2b908f"},{"name":"Arab","y":0.55,"color":"#DF5353"},{"name":"Asian","y":5.61,"color":"#90ee7e"},{"name":"Black","y":12.6,"color":"#f45b5b"},{"name":"Indian","y":0.92,"color":"#7798BF"},{"name":"Indigenous","y":0.9,"color":"#aaeeee"},{"name":"Latino","y":16.3,"color":"#eeaaee"},{"name":"Mixed \/ Other","y":4.56,"color":"#55BF3B"},{"name":"Jewish","y":1.71,"color":"#ff0066"}],"prefix":""}	Source: US Census (Note: Racial and ethnic categories overlap so the sum will not equal 100%.)
U.S. Population (2010) Representation	+14.08	+9.4	-0.05	-7.04		{"name":"U.S. Population (2010)","series":[["White",63.7],["Jewish",1.71],["Asian",5.61],["Black",12.6]],"cast":[{"name":"White","y":77.78,"color":"#2b908f"},{"name":"Jewish","y":11.11,"color":"#ff0066"},{"name":"Asian","y":5.56,"color":"#90ee7e"},{"name":"Black","y":5.56,"color":"#f45b5b"}]}
U.S. Buying Power (2010) Percentage	77.06%		4.93%	7.85%		{"name":"U.S. Buying Power (2010)","series":[{"name":"White","y":9431400000000,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":603500000000,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":961200000000,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":82500000000,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1018000000000,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":143100000000,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2010) Representation	+0.72		+0.63	-2.29		{"name":"U.S. Buying Power (2010)","series":[["White",77.06],["Jewish",0],["Asian",4.93],["Black",7.85]],"cast":[{"name":"White","y":77.78,"color":"#2b908f"},{"name":"Jewish","y":11.11,"color":"#ff0066"},{"name":"Asian","y":5.56,"color":"#90ee7e"},{"name":"Black","y":5.56,"color":"#f45b5b"}]}
U.S. Average Individual Income (2018) Percentage	71.15%		6.95%	9.47%		{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":12361329682274,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1207597430831,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1646149619846,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":125314150384,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1421945572936,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":612236175924,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	+6.63		-1.39	-3.91		{"name":"U.S. Average Individual Income (2018)","series":[["White",71.15],["Jewish",0],["Asian",6.95],["Black",9.47]],"cast":[{"name":"White","y":77.78,"color":"#2b908f"},{"name":"Jewish","y":11.11,"color":"#ff0066"},{"name":"Asian","y":5.56,"color":"#90ee7e"},{"name":"Black","y":5.56,"color":"#f45b5b"}]}
World population (2011) Percentage	15.05%	0.34%	32.47%	13.04%		{"name":"World population (2011) ","series":[{"name":"Mixed \/ Other","y":13088207400,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Latino","y":39858439966,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Indigenous","y":9835339409,"color":"#aaeeee","sliced":true,"selected":true},{"name":"White","y":105023830907,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":91001366190,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Asian","y":226559918348,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Arab","y":57797981542,"color":"#DF5353","sliced":true,"selected":true},{"name":"Indian","y":152257336147,"color":"#7798BF","sliced":true,"selected":true},{"name":"Jewish","y":2350655694,"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 (2011) Representation	+62.73	+10.77	-26.91	-7.48		{"name":"World population (2011) ","series":[["White",15.05],["Jewish",0.34],["Asian",32.47],["Black",13.04]],"cast":[{"name":"White","y":77.78,"color":"#2b908f"},{"name":"Jewish","y":11.11,"color":"#ff0066"},{"name":"Asian","y":5.56,"color":"#90ee7e"},{"name":"Black","y":5.56,"color":"#f45b5b"}]}
World Buying Power Percentage	36.48%	1.11%	29.46%	6.38%		{"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	+41.3	+10	-23.9	-0.82		{"name":"World Buying Power","series":[["White",36.48],["Jewish",1.11],["Asian",29.46],["Black",6.38]],"cast":[{"name":"White","y":77.78,"color":"#2b908f"},{"name":"Jewish","y":11.11,"color":"#ff0066"},{"name":"Asian","y":5.56,"color":"#90ee7e"},{"name":"Black","y":5.56,"color":"#f45b5b"}]}
Notes		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.	The US Census considers Pakistani, Sri Lankan, Indian, and Bangladeshi as Asians. At ZR we group Pakistanis with the Arab world. And we group Sri Lankan and Bangladeshi with India because 1.) they are all genetically similar as "South Asians and 2.) there are only a handful of actors from those regions in our database. However, you are viewing the "Asian Alone" category from the US Census when comparing it with Domestic representation. Also note that the 2000 and 2010 estimates include MultiRacial Asians not just "Asian Alone" estimates, and in some categories they include Native Hawaiians as "Asian." So there is a margin of error less than 1% and some inconsistencies with the grouping.

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85 year old 85 year old man hospital paris metro subway

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Everything Went Fine

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