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Boomerang

Summary: A guy who gets a face transplant done, following a fire accident, realises many are after his life. He sets out to find the reason for the same.
Runtime: 2 h 00 min

Production: Masala Pix
Country: India
Language: Tamil
N/A
36%83%
Asian66.67%White16.67%Indian16.67%
N/A
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RaceIndianAsianTotalVisualsInfo
Kairos33
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

Forebears22
Surname22
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/

Total437
Cast Percentages57.14%42.86%100%
U.S. Population (2020) Percentage1.35%6%
Source:
US Census
(Note: Racial and ethnic categories overlap so the sum will not equal 100%.)
U.S. Population (2020) Representation+55.79+36.86
U.S. Buying Power (2018) Percentage6.2%
U.S. Buying Power (2018) Representation+36.66
U.S. Average Individual Income (2018) Percentage7.52%
U.S. Average Individual Income (2018) Representation+35.34
World population (2019) Percentage21.91%31.25%
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+35.23+11.61
World Buying Power Percentage6.94%29.46%
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+50.2+13.4
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.

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