The Dark and the Wicked

Summary: On a secluded farm in a nondescript rural town, a man is slowly dying. His family gathers to mourn, and soon a darkness grows, marked by waking nightmares and a growing sense that something evil is taking over the family.

Release Date: November 06, 2020

Genre: Horror

Director: Bryan Bertino

Writer: Bryan Bertino

Runtime: 1 h 35 min

MPAA: Not Rated

Production: Traveling Picture Show Company (TPSC), Unbroken Pictures, Shotgun Shack Pictures

Distributor: Shudder

Country: United States

Language: English

Domestic: $ 157,252

International: $ 578,901

Box office:

Domestic:$157.3KInternational:$578.9KWorldwide:$736.2K

-27%

The Rotten Tomatoes audience rated this -27% lower than the critics.

91%64%

The Metacritic audience rated this -11% lower than the critics.

Metacritic Meta:

72/100

Metacritic User:

61/100

42%0%

42% of the Stars & Main Cast are Female.

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

White100%

1.00

Commonsensemedia

Violence4/5
Sex3/5
Language4/5
Drugs2/5

This film gets a 1.00/5 family friendly score

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CONTENT BREAKDOWN

Methodology

RottenTomatoes:

91%64%

Douban:

Eiga:

IMDb:

Kinopoisk:

Metacritic:

Metacritic User:

OFDb:

Wokeness

Thecherrypicks:

Methodology

Cast

Stars:

Supporting cast:

Other Cast, Production

Other cast:

Production:

Representation

Star

Supporting

Other

Production

Race	Arab	White	Latino	Total	Visuals	Info
Surname	3	3		6		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/
Familysearch	2	1	1	4
Forebears	4			4
Kairos		2	1	3		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
Total	9	6	2	17
Cast Percentages	52.94%	35.29%	11.76%	100%	{"name":"Cast Percentages","series":[{"name":"Arab","y":52.94,"color":"#DF5353","sliced":true,"selected":true},{"name":"White","y":35.29,"color":"#2b908f","sliced":true,"selected":true},{"name":"Latino","y":11.76,"color":"#eeaaee","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2020) Percentage	0.54%	57.84%	18.73%		{"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	+52.4	-22.55	-6.97		{"name":"U.S. Population (2020)","series":[["Arab",0.54],["White",57.84],["Latino",18.73]],"cast":[{"name":"Arab","y":52.94,"color":"#DF5353"},{"name":"White","y":35.29,"color":"#2b908f"},{"name":"Latino","y":11.76,"color":"#eeaaee"}]}
U.S. Buying Power (2018) Percentage		74.35%	9.42%		{"name":"U.S. Buying Power (2018)","series":[{"name":"White","y":12147700000000,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1013300000000,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1300200000000,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":114600000000,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1539000000000,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":224700000000,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2018) Representation		-39.06	+2.34		{"name":"U.S. Buying Power (2018)","series":[["Arab",0],["White",74.35],["Latino",9.42]],"cast":[{"name":"Arab","y":52.94,"color":"#DF5353"},{"name":"White","y":35.29,"color":"#2b908f"},{"name":"Latino","y":11.76,"color":"#eeaaee"}]}
U.S. Average Individual Income (2018) Percentage		65.34%	9.51%		{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":11825174998483,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1360705388565,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1706765993728,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":164296821776,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1721419354421,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":1318328353188,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation		-30.05	+2.25		{"name":"U.S. Average Individual Income (2018)","series":[["Arab",0],["White",65.34],["Latino",9.51]],"cast":[{"name":"Arab","y":52.94,"color":"#DF5353"},{"name":"White","y":35.29,"color":"#2b908f"},{"name":"Latino","y":11.76,"color":"#eeaaee"}]}
World population (2019) Percentage	8.82%	14.24%	5.62%		{"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	+44.12	+21.05	+6.14		{"name":"World population (2019) ","series":[["Arab",8.82],["White",14.24],["Latino",5.62]],"cast":[{"name":"Arab","y":52.94,"color":"#DF5353"},{"name":"White","y":35.29,"color":"#2b908f"},{"name":"Latino","y":11.76,"color":"#eeaaee"}]}
World Buying Power Percentage	6.38%	36.48%	9.35%		{"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	+46.56	-1.19	+2.41		{"name":"World Buying Power","series":[["Arab",6.38],["White",36.48],["Latino",9.35]],"cast":[{"name":"Arab","y":52.94,"color":"#DF5353"},{"name":"White","y":35.29,"color":"#2b908f"},{"name":"Latino","y":11.76,"color":"#eeaaee"}]}
Notes	Arab Americans are less than 1% of the US population and often check "White" or "Other" on the US Census. And the only data available for them started when the US Census added ancestry in 1980. So assume a less than 1% margin of error and overlap with the "White" and "Other" categories.		Many Latinos check "White" or "Other" on the Census. So this overlaps with "Mixed" race and "White." Also, when there was a discrepancy with the percentage listed on the Wikipedia table and our calculated numbers, the Wiki table's numbers were used. Likewise, when the population total was missing from the Census pdf, the estimate was calculated using the percentage from the Wiki table. NOTE: It turns out that the reason America doesn't have a separate "Latino" race is because the League of Latin American Citizens protested against discrimination towards Mexicans and got themselves to legally be considered "White." Check the research links in our Google Doc for more info.

Tags / Keywords

aerial camera shot american flag apology atheism atheist awakened in middle of night baby goat barn bedridden man blood bloody face bonfire brother sister relationship burning a dead goat calling for help candle carrot ceiling fan cell phone chair moves by itself changing a tire characters murdered one by one child reads mother's diary chopping a vegetable cigarette cigarette lighter cigarette smoking coroner coughing old man covered in blood cow skull cross crying woman cutting off one's own finger cutting one's self day of the week on screen dead body dead goat death death of daughter death of grandfather death of mother death of wife demon devil diary difficulty breathing disbelief in god disconnecting a telephone doctor dressmaking dried blood drinking from a bottle dying dying father dying man eating family farm family relationships farm farmhouse father daughter relationship father son relationship fear female frontal nudity female full frontal nudity female nudity fingers chopped off fire flashlight food forced suicide framed photograph gate ghost girl goat grandfather granddaughter relationship grief hallucination hanged to death hanging haunting hearing voices home nurse howling wolf husband wife relationship hymn knife knitting needle knocking on a door locking a door looking at oneself in a mirror looking out a window loss of mother man on a ceiling man vomits man vomits blood man wears a baseball cap man wears eyeglasses man with a beard mannequin mirror morgue mother commits suicide mother daughter relationship mother son relationship mother's diary mustached man naked old woman nighttime nurse old man old woman old woman with long hair overhead camera shot oxygen tube pickup truck possession posthumously read diary priest prologue questioning one's sanity rain reading a diary reading someone's diary record player recording ringing telephone rope rotting rural setting satan scene during opening credits scissors screaming woman scythe sense of smell sheep shotgun shotgun in mouth shovel shower shrieking singer singing sitting on a porch slaughtered goat sleeping spider spider crawls on someone's face stethoscope suicidal thoughts suicide suicide by gunshot suicide by hanging suicide by stabbing suicide of daughter suicide of grandfather suicide of mother suspense teenage girl telephone telephone call telephone terror terminal illness the devil thunder thurber texas waking up in the middle of the night walking dead walking on broken glass washing one's face watching tv whispering windmill woken up wolf woman dragged on the floor woman falls to the floor woman in a shower woman keeps a diary woman sits on the floor woman stabs herself woman takes a shower

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Parental Guide

Parental Guide: +add

This film gets a 1/5 family friendly score

MPAA Certification	No MPAA rating found yet. Add Family Friendly Rating?
IMDb Rating https://www.imdb.com/title/tt10229558/parentalguide last updated: 2024-10-26Update data
Commonsensemedia Rating https://www.commonsensemedia.org/movie-reviews/the-dark-and-the-wicked last updated: 2024-10-26Update data
Message 0/5	No real messages here. The evil thing that comes for the family does so without any reason or explanation.
Role model 0/5	Characters return home to be with a dying family member, although this act is portrayed as rather basic, rather than admirable. And things fall apart so thoroughly that there's no real chance for anyone to exhibit any admirable tendencies. In fact, Michael runs away from the house at one point, abandoning his sister and heading home.
Violence 4/5	Strong blood and gore, blood spatters, pools of blood. Scary stuff, jump scares, creepy, lurking figures. Character chops fingers off. Character hanged by rope. Shotgun shown. Character seemingly slicing her own flesh. Character shoots self in head. Nightmares. Field full of dead, slaughtered goats; carnage. Character slicing own neck. Character stabs face and eyes with knitting needles. Character's head bashed against wall. Image of dead family, mother and two girls, killed with knife. Spider in mouth.
Sex 3/5	Naked elderly female ghost, partly obscured by shadow, breasts visible.
Language 4/5	Uses of "f--k," "s--t," "hell," "goddamn," and "damn," plus exclamatory use of "Jesus Christ."
Drugs 2/5	Main character smokes cigarettes. Characters drink bottles of beer with dinner and after dinner on the porch.