The Most Beautiful Boy in the World

Summary: In 1971, due to the world premiere of Death in Venice, Italian director Luchino Visconti proclaimed his Tadzio as the world's most beautiful boy. 50 years later, that shadow still weighs upon Björn Andresen's life.

Release Date: October 15, 2021

Genres: Documentary, Biography, History

Directors: Kristina Lindström

, Kristian Petri

Writers: Kristina Lindström

, Kristian Petri

Runtime: 1 h 33 min

Production: Mantaray Film, Sveriges Television (SVT), Zweites Deutsches Fernsehen (ZDF), ARTE, Jonas Gardell Produktion

Distributor: Juno Films

Countries: Sweden, Germany, France

Language: English

Box office:

Worldwide:$10.4K

The average Metacritic score is 73%.

Metacritic Meta:

73/100

50%27%

50% of the Stars & Main Cast are Female.

27% of the Stars & Main Cast are "diverse."

White66.67%Asian26.67%Jewish6.67%

N/A

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Race	White	Asian	Jewish	Total	Visuals	Info
Forebears	6	3		9
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
Surname	1			1		A third party free program that uses US Census data to create an algorithm that analyzes surnames and guesses what ethnicity the person is. Obviously there are issues with this data set such as African Americans who have the last names of their ancestors' slave owner. However, when no other data set is available, this can give a rough estimate and expand the data pool for the less important cast members with no IMDb or TMDb image. Please consider downloading their source code via GitHub to verify the accuracy of our data set, and to peer review our conclusions. Source: https://pypi.org/project/ethnicolr/
Jew			1	1		Believe it or not, this website is actually ran by proud Jews who just poke fun at themselves. However, they celebrate Judaism and Ashkenazi DNA. Their verdicts are varied and have humorous opinions added, but we filter them into a quantifiable binary Jewish or not variable. Unlike Ethnicelebs, this data set uses religion when determining if a person is Jewish or not, even if they have zero Ashkenazi DNA. Source: http://www.jewornotjew.com/
Familysearch	1			1
Total	11	4	1	16
Cast Percentages	68.75%	25%	6.25%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":68.75,"color":"#2b908f","sliced":true,"selected":true},{"name":"Asian","y":25,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Jewish","y":6.25,"color":"#ff0066","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2020) Percentage	57.84%	6%	2.02%		{"name":"U.S. Population (2020)","series":[{"name":"White","y":57.84,"color":"#2b908f"},{"name":"Arab","y":0.54,"color":"#DF5353"},{"name":"Asian","y":6,"color":"#90ee7e"},{"name":"Black","y":12.4,"color":"#f45b5b"},{"name":"Indian","y":1.35,"color":"#7798BF"},{"name":"Indigenous","y":1.12,"color":"#aaeeee"},{"name":"Latino","y":18.73,"color":"#eeaaee"},{"name":"Mixed \/ Other","y":9.32,"color":"#55BF3B"},{"name":"Jewish","y":2.02,"color":"#ff0066"}],"prefix":""}	Source: US Census (Note: Racial and ethnic categories overlap so the sum will not equal 100%.)
U.S. Population (2020) Representation	+10.91	+19	+4.23		{"name":"U.S. Population (2020)","series":[["White",57.84],["Asian",6],["Jewish",2.02]],"cast":[{"name":"White","y":68.75,"color":"#2b908f"},{"name":"Asian","y":25,"color":"#90ee7e"},{"name":"Jewish","y":6.25,"color":"#ff0066"}]}
U.S. Buying Power (2023) Percentage	72.69%	6.97%			{"name":"U.S. Buying Power (2023)","series":[{"name":"White","y":13897000000000,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1333100000000,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1533100000000,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":136400000000,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1924000000000,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":295300000000,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2023) Representation	-3.94	+18.03			{"name":"U.S. Buying Power (2023)","series":[["White",72.69],["Asian",6.97],["Jewish",0]],"cast":[{"name":"White","y":68.75,"color":"#2b908f"},{"name":"Asian","y":25,"color":"#90ee7e"},{"name":"Jewish","y":6.25,"color":"#ff0066"}]}
U.S. Average Individual Income (2018) Percentage	65.34%	7.52%			{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":11825174998483,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1360705388565,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1706765993728,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":164296821776,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1721419354421,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":1318328353188,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	+3.41	+17.48			{"name":"U.S. Average Individual Income (2018)","series":[["White",65.34],["Asian",7.52],["Jewish",0]],"cast":[{"name":"White","y":68.75,"color":"#2b908f"},{"name":"Asian","y":25,"color":"#90ee7e"},{"name":"Jewish","y":6.25,"color":"#ff0066"}]}
World population (2019) Percentage	14.24%	31.25%	0.34%		{"name":"World population (2019) ","series":[{"name":"Mixed \/ Other","y":14688882870,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Latino","y":42991259469,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Indigenous","y":10971786583,"color":"#aaeeee","sliced":true,"selected":true},{"name":"White","y":108889096410,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":110601821551,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Asian","y":238860161621,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Arab","y":67406299429,"color":"#DF5353","sliced":true,"selected":true},{"name":"Indian","y":167470202093,"color":"#7798BF","sliced":true,"selected":true},{"name":"Jewish","y":2568698093,"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 (2019) Representation	+54.51	-6.25	+5.91		{"name":"World population (2019) ","series":[["White",14.24],["Asian",31.25],["Jewish",0.34]],"cast":[{"name":"White","y":68.75,"color":"#2b908f"},{"name":"Asian","y":25,"color":"#90ee7e"},{"name":"Jewish","y":6.25,"color":"#ff0066"}]}
World Buying Power Percentage	36.48%	29.46%	1.11%		{"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	+32.27	-4.46	+5.14		{"name":"World Buying Power","series":[["White",36.48],["Asian",29.46],["Jewish",1.11]],"cast":[{"name":"White","y":68.75,"color":"#2b908f"},{"name":"Asian","y":25,"color":"#90ee7e"},{"name":"Jewish","y":6.25,"color":"#ff0066"}]}
Notes		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.	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.

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The Most Beautiful Boy in the World

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