Evil Words

Summary: In Montreal, on the same day that a policeman shot eleven children, killing ten, without any reason, the successful writer Thomas Roy amputates his fingers and tries to commit suicide. Completely catatonic, he is treated by Dr. Pa...

Release Date: March 10, 2005

Genres: Drama, Thriller, Horror

Director: Éric Tessier

Writers: Patrick Senécal

, Éric Tessier

Runtime: 1 h 37 min

Production: Go Films

Country: Canada

Language: French

Movie budget: $ 3,200,000

Domestic: $ 2,014,071

Box office:

Budget:$3.2MDomestic:$2MWorldwide:$2M

Adaptation/remake:

based on novel

N/A

The average Rotten Tomatoes audience score is 70%.

70%

No Metacritic ratings imported yet.

28%0%

28% of the Stars & Main Cast are Female.

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

White100%

N/A

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CONTENT BREAKDOWN

Methodology

RottenTomatoes:

70%

Douban:

IMDb:

OFDb:

Methodology

Cast

Stars:

Supporting cast:

Other Cast, Production

Other cast:

Production:

Representation

Star

Supporting

Other

Production

Race	White	Asian	Total	Visuals	Info
Kairos	14		14		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	1	1	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
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/
Total	17	1	18
Cast Percentages	94.44%	5.56%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":94.44,"color":"#2b908f","sliced":true,"selected":true},{"name":"Asian","y":5.56,"color":"#90ee7e","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2000) Percentage	69.1%	4.23%		{"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	+25.34	+1.33		{"name":"U.S. Population (2000)","series":[["White",69.1],["Asian",4.23]],"cast":[{"name":"White","y":94.44,"color":"#2b908f"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
U.S. Buying Power (2000) Percentage	81.25%	3.5%		{"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":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2000) Representation	+13.19	+2.06		{"name":"U.S. Buying Power (2000)","series":[["White",81.25],["Asian",3.5]],"cast":[{"name":"White","y":94.44,"color":"#2b908f"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
U.S. Average Individual Income (2018) Percentage	75.87%	5.15%		{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":12486078801224,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":847855718239,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1496325714538,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":116686974923,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1015377765500,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":495075686082,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	+18.57	+0.41		{"name":"U.S. Average Individual Income (2018)","series":[["White",75.87],["Asian",5.15]],"cast":[{"name":"White","y":94.44,"color":"#2b908f"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
World population (2003) Percentage	16.05%	33.78%		{"name":"World population (2003) ","series":[{"name":"Mixed \/ Other","y":11792445272,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Latino","y":36184901805,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Indigenous","y":8653311690,"color":"#aaeeee","sliced":true,"selected":true},{"name":"White","y":101546768357,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":74500680560,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Asian","y":213749896245,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Arab","y":49305860484,"color":"#DF5353","sliced":true,"selected":true},{"name":"Indian","y":134871537680,"color":"#7798BF","sliced":true,"selected":true},{"name":"Jewish","y":2142320930,"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 (2003) Representation	+78.39	-28.22		{"name":"World population (2003) ","series":[["White",16.05],["Asian",33.78]],"cast":[{"name":"White","y":94.44,"color":"#2b908f"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
World Buying Power Percentage	36.48%	29.46%		{"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	+57.96	-23.9		{"name":"World Buying Power","series":[["White",36.48],["Asian",29.46]],"cast":[{"name":"White","y":94.44,"color":"#2b908f"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
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.

Tags / Keywords

amputation based on novel canadian content canadian gothic hospital killer montreal quebec canada murder paranormal phenomenon psychotronic film quebec canada supernatural power

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Evil Words

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Parental Guide: +add

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