Born to Fly

Summary: A special operations team headed by elite pilots are ordered to test new fighter jets. Test flight after test flight, they challenge the limits of the sky and themselves.

Release Date: April 28, 2023

Genres: Action, Drama

Director: Xiaoshi Liu

Writers: Guan Gui

, Xiaoshi Liu

Runtime: 2 h 08 min

Production: Alibaba Pictures, Aviation Industry Corporation of China, Bona Film Group, Alibaba Pictures Group, China Film Co., Ltd., Free Whale Pictures

Distributor: Well Go USA Entertainment

Country: China

Language: Chinese

Domestic: $ 277,011

International: $ 224,574

Box office:

Domestic:$277KInternational:$224.6KWorldwide:$501.6K

Possible lazy cash grab:

sequel

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11%94%

11% of the Stars & Main Cast are Female.

94% of the Stars & Main Cast are "diverse."

Asian94.12%White5.88%

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CONTENT BREAKDOWN

Methodology

Douban:

IMDb:

Methodology

Cast

Stars:

Supporting cast:

Other Cast, Production

Other cast:

Production:

Representation

Star

Supporting

Other

Production

Race	White	Black	Indian	Total	Visuals	Info
Kairos	2	2		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	2		1	3		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/
Forebears	2			2
Bettaface	1			1		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.betafaceapi.com/demo_old.html
Total	7	2	1	10
Cast Percentages	70%	20%	10%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":70,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":20,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":10,"color":"#7798BF","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2020) Percentage	57.84%	12.4%	1.35%		{"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	+12.16	+7.6	+8.65		{"name":"U.S. Population (2020)","series":[["White",57.84],["Black",12.4],["Indian",1.35]],"cast":[{"name":"White","y":70,"color":"#2b908f"},{"name":"Black","y":20,"color":"#f45b5b"},{"name":"Indian","y":10,"color":"#7798BF"}]}
U.S. Buying Power (2023) Percentage	72.69%	8.02%			{"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":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2023) Representation	-2.69	+11.98			{"name":"U.S. Buying Power (2023)","series":[["White",72.69],["Black",8.02],["Indian",0]],"cast":[{"name":"White","y":70,"color":"#2b908f"},{"name":"Black","y":20,"color":"#f45b5b"},{"name":"Indian","y":10,"color":"#7798BF"}]}
U.S. Average Individual Income (2018) Percentage	65.34%	9.43%			{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":11825174998483,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1360705388565,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1706765993728,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":164296821776,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1721419354421,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":1318328353188,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	+4.66	+10.57			{"name":"U.S. Average Individual Income (2018)","series":[["White",65.34],["Black",9.43],["Indian",0]],"cast":[{"name":"White","y":70,"color":"#2b908f"},{"name":"Black","y":20,"color":"#f45b5b"},{"name":"Indian","y":10,"color":"#7798BF"}]}
World population (2019) Percentage	14.24%	14.47%	21.91%		{"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	+55.76	+5.53	-11.91		{"name":"World population (2019) ","series":[["White",14.24],["Black",14.47],["Indian",21.91]],"cast":[{"name":"White","y":70,"color":"#2b908f"},{"name":"Black","y":20,"color":"#f45b5b"},{"name":"Indian","y":10,"color":"#7798BF"}]}
World Buying Power Percentage	36.48%	6.38%	6.94%		{"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	+33.52	+13.62	+3.06		{"name":"World Buying Power","series":[["White",36.48],["Black",6.38],["Indian",6.94]],"cast":[{"name":"White","y":70,"color":"#2b908f"},{"name":"Black","y":20,"color":"#f45b5b"},{"name":"Indian","y":10,"color":"#7798BF"}]}
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Born to Fly

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