The Fanatic

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Summary: A rabid film fan stalks his favorite action hero and destroys his life.

Release Date: July 03, 2020

Genres: Crime, Thriller

Director: Fred Durst

Writers: Fred Durst

, Dave Bekerman

Runtime: 1 h 28 min

MPAA: R

Production: Quiver Distribution, Redbox Entertainment, Pretzel Fang Productions, Wonderfilm Media, Oscar Generale Productions, Daniel Grodnik Productions, Media Finance Capital, Fig Production Group

Distributor: Quiver Distribution

Country: United States

Language: English

Movie budget: $ 18,000,000

Budget:$18M

17%

The Rotten Tomatoes audience rated this 17% higher than the critics.

14%31%

The Metacritic audience rated this 25% higher than the critics.

Metacritic Meta:

18/100

Metacritic User:

43/100

50%41%

50% of the Stars & Main Cast are Female.

41% of the Stars & Main Cast are "diverse."

White58.82%Latino29.41%Asian5.88%Mixed / Other5.88%

1.38

MPAAR

IMDb

VIOLENCESeverePROFANITYSevereALCOHOLMildFRIGHTENINGSevere

Commonsensemedia

Violence4/5
Sex1/5
Language4/5
Drugs1/5

This film gets a 1.38/5 family friendly score

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CONTENT BREAKDOWN

Methodology

RottenTomatoes:

14%31%

Douban:

Eiga:

IMDb:

Kinopoisk:

Metacritic:

Metacritic User:

OFDb:

Methodology

Cast

Stars:

Supporting cast:

Other Cast, Production

Other cast:

Production:

Representation

Star

Supporting

Other

Production

Race	White	Black	Arab	Mixed / Other	Jewish	Latino	Total	Visuals	Info
Ethnic	3	2	1	1	1		8		This is the most reliable data source for accurate ethnic breakdowns of famous people. Often the information is crowdsourced by users and they cite all their sources (family trees, obituaries, census archives, etc.) on the bottom of the page. The only issue is converting their ambiguous and inconsistent verdicts into quantifiable variables. Source: https://ethnicelebs.com/
Kairos	6	1				1	8		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						2		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			1				1
Total	11	3	2	1	1	1	19
Cast Percentages	57.89%	15.79%	10.53%	5.26%	5.26%	5.26%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":57.89,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":15.79,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Arab","y":10.53,"color":"#DF5353","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":5.26,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":5.26,"color":"#ff0066","sliced":true,"selected":true},{"name":"Latino","y":5.26,"color":"#eeaaee","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2020) Percentage	57.84%	12.4%	0.54%	9.32%	2.02%	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	+0.05	+3.39	+9.99	-4.06	+3.24	-13.47		{"name":"U.S. Population (2020)","series":[["White",57.84],["Black",12.4],["Arab",0.54],["Mixed \/ Other",9.32],["Jewish",2.02],["Latino",18.73]],"cast":[{"name":"White","y":57.89,"color":"#2b908f"},{"name":"Black","y":15.79,"color":"#f45b5b"},{"name":"Arab","y":10.53,"color":"#DF5353"},{"name":"Mixed \/ Other","y":5.26,"color":"#55BF3B"},{"name":"Jewish","y":5.26,"color":"#ff0066"},{"name":"Latino","y":5.26,"color":"#eeaaee"}]}
U.S. Buying Power (2023) Percentage	72.69%	8.02%		1.54%		10.06%		{"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":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2023) Representation	-14.8	+7.77		+3.72		-4.8		{"name":"U.S. Buying Power (2023)","series":[["White",72.69],["Black",8.02],["Arab",0],["Mixed \/ Other",1.54],["Jewish",0],["Latino",10.06]],"cast":[{"name":"White","y":57.89,"color":"#2b908f"},{"name":"Black","y":15.79,"color":"#f45b5b"},{"name":"Arab","y":10.53,"color":"#DF5353"},{"name":"Mixed \/ Other","y":5.26,"color":"#55BF3B"},{"name":"Jewish","y":5.26,"color":"#ff0066"},{"name":"Latino","y":5.26,"color":"#eeaaee"}]}
U.S. Average Individual Income (2018) Percentage	65.34%	9.43%		7.28%		9.51%		{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":11825174998483,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1360705388565,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1706765993728,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":164296821776,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1721419354421,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":1318328353188,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	-7.45	+6.36		-2.02		-4.25		{"name":"U.S. Average Individual Income (2018)","series":[["White",65.34],["Black",9.43],["Arab",0],["Mixed \/ Other",7.28],["Jewish",0],["Latino",9.51]],"cast":[{"name":"White","y":57.89,"color":"#2b908f"},{"name":"Black","y":15.79,"color":"#f45b5b"},{"name":"Arab","y":10.53,"color":"#DF5353"},{"name":"Mixed \/ Other","y":5.26,"color":"#55BF3B"},{"name":"Jewish","y":5.26,"color":"#ff0066"},{"name":"Latino","y":5.26,"color":"#eeaaee"}]}
World population (2019) Percentage	14.24%	14.47%	8.82%	1.92%	0.34%	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	+43.65	+1.32	+1.71	+3.34	+4.92	-0.36		{"name":"World population (2019) ","series":[["White",14.24],["Black",14.47],["Arab",8.82],["Mixed \/ Other",1.92],["Jewish",0.34],["Latino",5.62]],"cast":[{"name":"White","y":57.89,"color":"#2b908f"},{"name":"Black","y":15.79,"color":"#f45b5b"},{"name":"Arab","y":10.53,"color":"#DF5353"},{"name":"Mixed \/ Other","y":5.26,"color":"#55BF3B"},{"name":"Jewish","y":5.26,"color":"#ff0066"},{"name":"Latino","y":5.26,"color":"#eeaaee"}]}
World Buying Power Percentage	36.48%	6.38%	6.38%	1.81%	1.11%	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	+21.41	+9.41	+4.15	+3.45	+4.15	-4.09		{"name":"World Buying Power","series":[["White",36.48],["Black",6.38],["Arab",6.38],["Mixed \/ Other",1.81],["Jewish",1.11],["Latino",9.35]],"cast":[{"name":"White","y":57.89,"color":"#2b908f"},{"name":"Black","y":15.79,"color":"#f45b5b"},{"name":"Arab","y":10.53,"color":"#DF5353"},{"name":"Mixed \/ Other","y":5.26,"color":"#55BF3B"},{"name":"Jewish","y":5.26,"color":"#ff0066"},{"name":"Latino","y":5.26,"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.	The "Mixed / Other" categories overlap, and the 2 or more category was not an option until the 2000 Census. So for the combined column, all data will be taken from the "Other" column except for 2000, 2010, & 2020. For those, the average between the "2 or More Races" and "Some Other Race" will be used.	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.	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

action movie star actor affair with a maid affair with the maid aggravated assault asking for an autograph autism autistic character autograph autograph hunter autograph seeker bar scene being asked for an autograph blood book signing camcorder celebrity celebrity home celebrity impersonator child custody cinephile climbing fence cockney accent cocktail party comic book store costume crashing a party criminal as protagonist developmental disability disability disorder sufferer divorced couple divorced parents ex wife falsely accused of murder father son relationship film actor film within a film fingers shot off gardener giving an autograph hiding hollywood hollywood star hollywood walk of fame home cinema home invasion home movie horror movie fan maid male female friendship male female platonic friendship male protagonist man wears eyeglasses marilyn monroe memorabilia mexican gardener mexican maid milkshake moped moped accident moped ride movie actor movie within a movie movie within movie mutilation obsessed fan obsession ocd paparazzi paparazzi photograph phone app photographer pickpocket playing a videotape policeman reference to ben affleck reference to ebay reference to freddy krueger reference to hollywood walk of fame reference to martin sheen riding a moped severed fingers signing an autograph sleeping sleeping pills stabbed in the eye stalker stalking street magician street performer tied to a bed tied up in a bed video within a film videotape violence voice over narration walk of fame watching a videotape writing a letter

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Parental Guide

Parental Guide: +add

This film gets a 1.38/5 family friendly score

MPAA Certification	Rated R for some strong violence, and language throughout
International Certification	Australia : MA15+Brazil : 16Ecuador : 15France : 12,Accord parentalGermany : 16Italy : VM12Japan : PG12Mexico : 16Netherlands : 16New Zealand : R13Norway : 15Poland : 16Spain : 16Sweden : 15Taiwan : 15+United Kingdom : 18United States : R
IMDb Rating https://www.imdb.com/title/tt7869070/parentalguide last updated: 2024-05-28Update data
Nudity None	A man tries to kiss a woman, who rebuffs him.
Violence Severe	A man pushes a young woman into a wall. A street performer drives a nail through his nose as part of a magic trick. Blood streams from his nose. A man wakes up tied to his bed with balled-up tissues stuffed in his mouth. A man douses his possessions in gasoline and lights them on fire. A man falls down a flight of stairs. A man grabs a street performer by the neck and threatens and traumatizes him.
Profanity Severe	Around 33 uses of "fuck", 16 uses of "shit", 5 uses of "hell", 3 uses of "ass", 1 use of "bitch", 1 use of "damn", 1 use of "goddamn", 1 use of "son of a bitch", 1 use of "pussy", 2 uses of "dick", 1 use of "Jesus".
Alcohol Mild	On two or three occasions an adolescent is seen vaping an e-cigarette. Moose walks into a party and some people appear to be drinking wine though you never see Moose drinking alcohol in any scene of the movie.
Frightening Severe	The film is about a stalker, who invades the privacy of a famous actor by walking onto his yard, walking into his home, and touching his belongings. Viewers concerned about people breaking into their homes might feel distressed. Moose's obsession may shock some audience Severe actually.
Commonsensemedia Rating https://www.commonsensemedia.org/movie-reviews/the-fanatic last updated: 2024-05-28Update data
Message 0/5	Doesn't really seem to know what it wants to say, other than that everyone is mean and selfish and deserves to be punished.
Role model 0/5	Most characters are deluded, selfish, or mean in some way, with few redeeming qualities. Even Moose, who can be sweet and childlike, is prone to outbursts of rage and violence; the movie's portrayal of someone with autism isn't nuanced or sympathetic.
Violence 4/5	One character violently hits another; the victim's dead body is shown, with blood streaming from her nose. Gun drawn, character's fingers shot off (bloody stumps shown). Character stabbed in the eye; blood gurgles from the socket. Gory magic trick, metal spike shoved through nose, with streaming blood. One character shoves another. Character falls down stairs, smashes head on wall. Punching, hitting. Arguing, yelling, threats. Character tied to bed. Character burns his possessions.
Sex 1/5	A character inappropriately tries to kiss his housekeeper; she gently rebuffs him.
Language 4/5	Very strong, frequent language includes "f--k," "s--t," "p---y," "bitch," "jackass," "balls," and "idiot." Middle-finger gestures.
Drugs 1/5	Social drinking at a party. Beer cans on side table.

Methodology

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boxofficemom.com
commonsensemedia.org
crosswalk.com

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Feminism

Strong and multidimensional female characters are fine. This is mainly referring to girlboss crap, unrealistic Mary Sue content, and/or egregious scenes of manhood being disparaged.

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Audience Reviews:

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Critic Reviews:

The Fanatic, 2019 - ★½

The weird thing about this movie is that it's too competently made to be TRULY terrible. Like, decent shot composition, pretty good lighting, solid cinematography. Travolta commits to the bit, even...

Proper Review

Nov 27th 2019

Sonny Bunch

#CenterRight

The Fanatic (Letterboxd Review)

A rabid film fan stalks his favorite action hero and destroys the star's life

Proper Review

Sep 23rd 2019

Society Reviews

#Christian #Libertarian #POC

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