Blue Crush

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american football aquatic sport athlete bar bare midriff based on article beach bikini blood brother sister relationship brushing teeth camera cell phone color in title competition computer condom contest dancer dancing dog dolphin drink drinking exercise extreme sport fast motion scene female athlete female surfer fight first part flashback foosball football player friend friendship gas station grocery store hawaii head injury hitting one's head on a rock hotel hula injury jacuzzi jet ski jogging kiss lipstick on mirror locker room luau maid massage mirror mobile phone montage mother daughter relationship nightmare obscene finger gesture ocean oceania overheard conversation photographer prejudice prologue pull ups reckless driving reef running school sea sex shower sister sister relationship skateboard skateboarder skateboarding sleeping bag solarisation sports announcer sports competition student surfboard surfer surfing surfing accident surfing contest surfing lesson surfing sport swimsuit tahitian hula tattoo teenage girl telephone call tween girl twenty something uncle niece relationship underdog underwater scene visible midriff vomiting watching a video watching tv wave woman wears a short skirt women's bathroom writing on a mirror

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Race	White	Mixed / Other	Latino	Indian	Black	Jewish	Asian	Total	Visuals	Info
Ethnic	2	2			1	1		6		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/
Forebears	3		1				1	5
Surname	1			2				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/
Kairos			1		1			2		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
Bettaface	2							2		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	8	2	2	2	2	1	1	18
Cast Percentages	44.44%	11.11%	11.11%	11.11%	11.11%	5.56%	5.56%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":44.44,"color":"#2b908f","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":11.11,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Latino","y":11.11,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Indian","y":11.11,"color":"#7798BF","sliced":true,"selected":true},{"name":"Black","y":11.11,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Jewish","y":5.56,"color":"#ff0066","sliced":true,"selected":true},{"name":"Asian","y":5.56,"color":"#90ee7e","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2000) Percentage	69.1%	3.96%	12.5%	0.6%	12.3%	1.85%	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	-24.66	+7.15	-1.39	+10.51	-1.19	+3.71	+1.33		{"name":"U.S. Population (2000)","series":[["White",69.1],["Mixed \/ Other",3.96],["Latino",12.5],["Indian",0.6],["Black",12.3],["Jewish",1.85],["Asian",4.23]],"cast":[{"name":"White","y":44.44,"color":"#2b908f"},{"name":"Mixed \/ Other","y":11.11,"color":"#55BF3B"},{"name":"Latino","y":11.11,"color":"#eeaaee"},{"name":"Indian","y":11.11,"color":"#7798BF"},{"name":"Black","y":11.11,"color":"#f45b5b"},{"name":"Jewish","y":5.56,"color":"#ff0066"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
U.S. Buying Power (2000) Percentage	81.25%	0.76%	6.26%		7.72%		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":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2000) Representation	-36.81	+10.35	+4.85		+3.39		+2.06		{"name":"U.S. Buying Power (2000)","series":[["White",81.25],["Mixed \/ Other",0.76],["Latino",6.26],["Indian",0],["Black",7.72],["Jewish",0],["Asian",3.5]],"cast":[{"name":"White","y":44.44,"color":"#2b908f"},{"name":"Mixed \/ Other","y":11.11,"color":"#55BF3B"},{"name":"Latino","y":11.11,"color":"#eeaaee"},{"name":"Indian","y":11.11,"color":"#7798BF"},{"name":"Black","y":11.11,"color":"#f45b5b"},{"name":"Jewish","y":5.56,"color":"#ff0066"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
U.S. Average Individual Income (2018) Percentage	75.87%	3.01%	6.17%		9.09%		5.15%		{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":12379223097685,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":840599779788,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1483520178109,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":115688369276,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1006688175500,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":490838834659,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	-31.43	+8.1	+4.94		+2.02		+0.41		{"name":"U.S. Average Individual Income (2018)","series":[["White",75.87],["Mixed \/ Other",3.01],["Latino",6.17],["Indian",0],["Black",9.09],["Jewish",0],["Asian",5.15]],"cast":[{"name":"White","y":44.44,"color":"#2b908f"},{"name":"Mixed \/ Other","y":11.11,"color":"#55BF3B"},{"name":"Latino","y":11.11,"color":"#eeaaee"},{"name":"Indian","y":11.11,"color":"#7798BF"},{"name":"Black","y":11.11,"color":"#f45b5b"},{"name":"Jewish","y":5.56,"color":"#ff0066"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
World population (2002) Percentage	16.19%	1.87%	5.71%	21.22%	11.64%	0.34%	33.93%		{"name":"World population (2002) ","series":[{"name":"Mixed \/ Other","y":11666992036,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Latino","y":35696748136,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Indigenous","y":8526105205,"color":"#aaeeee","sliced":true,"selected":true},{"name":"White","y":101163632675,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":72726073172,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Asian","y":212026003574,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Arab","y":48323392485,"color":"#DF5353","sliced":true,"selected":true},{"name":"Indian","y":132596647598,"color":"#7798BF","sliced":true,"selected":true},{"name":"Jewish","y":2119021178,"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 (2002) Representation	+28.25	+9.24	+5.4	-10.11	-0.53	+5.22	-28.37		{"name":"World population (2002) ","series":[["White",16.19],["Mixed \/ Other",1.87],["Latino",5.71],["Indian",21.22],["Black",11.64],["Jewish",0.34],["Asian",33.93]],"cast":[{"name":"White","y":44.44,"color":"#2b908f"},{"name":"Mixed \/ Other","y":11.11,"color":"#55BF3B"},{"name":"Latino","y":11.11,"color":"#eeaaee"},{"name":"Indian","y":11.11,"color":"#7798BF"},{"name":"Black","y":11.11,"color":"#f45b5b"},{"name":"Jewish","y":5.56,"color":"#ff0066"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
World Buying Power Percentage	36.48%	1.81%	9.35%	6.94%	6.38%	1.11%	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	+7.96	+9.3	+1.76	+4.17	+4.73	+4.45	-23.9		{"name":"World Buying Power","series":[["White",36.48],["Mixed \/ Other",1.81],["Latino",9.35],["Indian",6.94],["Black",6.38],["Jewish",1.11],["Asian",29.46]],"cast":[{"name":"White","y":44.44,"color":"#2b908f"},{"name":"Mixed \/ Other","y":11.11,"color":"#55BF3B"},{"name":"Latino","y":11.11,"color":"#eeaaee"},{"name":"Indian","y":11.11,"color":"#7798BF"},{"name":"Black","y":11.11,"color":"#f45b5b"},{"name":"Jewish","y":5.56,"color":"#ff0066"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
Notes		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.	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.			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.	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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Gothika (2003)

Summary: A psychiatrist awakens as a patient in a mental institution, with no memory of the murder she's accused of committing. As she tries to regain her memory, a vengeful spirit manipulates her.

Release Date: November 21, 2003

Genres: Thriller, Horror, Mystery

Director: Mathieu Kassovitz

Writer: Sebastian Gutierrez

Runtime: 1 h 38 min

MPAA: R

Production: Columbia Pictures, Warner Bros., Dark Castle Entertainment

Distributor: HBO Max, Sony Pictures Entertainment (SPE), Warner Home Video

Countries: United States, France, Canada, Spain

Language: English

Movie budget: $ 40,000,000

Domestic: $ 59,694,580

International: $ 81,896,744

Box office:

Budget:$40MDomestic:$59.7MInternational:$81.9MWorldwide:$141.6M

Box office International:

Source: The Numbers

Possible Big Business:

Production:

Warner Bros.

Columbia Pictures

30%

The Rotten Tomatoes audience rated this 30% higher than the critics.

15%45%

The Metacritic audience rated this 28% higher than the critics.

Metacritic Meta:

38/100

Metacritic User:

66/100

44%39%

44% of the Stars & Main Cast are Female.

39% of the Stars & Main Cast are "diverse."

White55.56%Black27.78%Asian5.56%Latino5.56%Jewish5.56%

0.84

LGBTQ content included:

lesbian

Possibly woke elements:

f rated

BechdeltestPassed!

Commonsensemedia

Role model2/5
Violence5/5
Sex5/5
Language5/5
Drugs3/5

Dove

Sex4/5
Language4/5
Violence2/5
Drugs1/5
Nudity3/5

This film gets a 0.84/5 family friendly score

Please help improve our site and

RottenTomatoes:

15%45%

Douban:

Eiga:

IMDb:

Kinopoisk:

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Adam (2009)

Summary: Adam, a lonely man with Asperger's Syndrome, develops a relationship with his upstairs neighbor, Beth.

Release Date: August 28, 2009

Genres: Comedy, Drama, Romance

Director: Max Mayer

Writer: Max Mayer

Runtime: 1 h 39 min

MPAA: PG-13

Production: Olympus Pictures, Deer Path Productions, Northwood Productions, Northwood Productions, Serenade Films, Vox3 Films

Distributor: Searchlight Pictures, 20th Century Fox Home Entertainment

Country: United States

Language: English

Domestic: $ 2,277,396

International: $ 759,777

Box office:

Domestic:$2.3MInternational:$759.8KWorldwide:$3M

Box office International:

Source: The Numbers

The Rotten Tomatoes audience rated this 7% higher than the critics.

65%72%

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

Metacritic Meta:

56/100

Metacritic User:

81/100

44%11%

44% of the Stars & Main Cast are Female.

11% of the Stars & Main Cast are "diverse."

White77.78%Black11.11%Jewish11.11%

1.00

LGBTQ content included:

LGB:

gay, lesbian, gay parent

QTIA+:

gay adoption

Possibly woke elements:

interracial

BechdeltestTalk about a man

Commonsensemedia

Message3/5
Role model3/5
Violence1/5
Sex3/5
Language3/5
Drugs1/5

This film gets a 1.00/5 family friendly score

Please help improve our site and

RottenTomatoes:

65%72%

Douban:

IMDb:

Metacritic:

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Big Wednesday (1978)

Summary: Character study about the lives of some California surfers from the early 1960s to the 1970s as the Vietnam War interrupts their carefree life.

Release Date: May 26, 1978

Genres: Drama, Sport

Director: John Milius

Writers: John Milius

, Dennis Aaberg

Runtime: 2 h 00 min

MPAA: PG

Production: A-Team

Distributor: American Broadcasting Company (ABC), Warner Archive Collection, Warner Home Video

Country: United States

Language: English

Movie budget: $ 11,000,000

Box office:

Budget:$11MWorldwide:$1.5K

20%

The Rotten Tomatoes audience rated this 20% higher than the critics.

67%87%

The Metacritic audience rated this 22% higher than the critics.

Metacritic Meta:

54/100

Metacritic User:

76/100

22%0%

22% of the Stars & Main Cast are Female.

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

White100%

N/A

LGBTQ content included:

gay, lgbtq, gay subtext, lgbt

No MPAA or IMDb parental guidance data has been imported yet.
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RottenTomatoes:

67%87%

Eiga:

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Haggard (2003)

Summary: After she breaks up with Ryan, Glauren is rumored to have been hooking up with heavy metal Hellboy. Ryan enlists the help of his friends Valo and Falcone to find out the truth.

Release Date: June 24, 2003

Genres: Comedy, Romance

Director: Bam Margera

Writers: Chris Aspite

, Bam Margera

, Brandon DiCamillo

Runtime: 1 h 36 min

MPAA: R

Production: Adio Entertainment

Countries: United States, Canada

Language: English

Movie budget: $ 500,000

Budget:$500K

Adaptation/remake:

based on true story

N/A

No Rotten Tomatoes ratings imported yet.

No Metacritic ratings imported yet.

11%0%

11% of the Stars & Main Cast are Female.

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

White100%

N/A

LGBTQ content included:

lesbian

No MPAA or IMDb parental guidance data has been imported yet.
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Kinopoisk:

OFDb:

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North Hollywood (2021)

Summary: A kid must decide between choosing the future his father wants and following his dream of becoming a pro skater.

Release Date: May 14, 2021

Genres: Comedy, Drama, Sport

Director: Mikey Alfred

Runtime: 1 h 33 min

MPAA: Not Rated

Distributor: Blue Finch Films Releasing

Country: United States

Language: English

Movie budget: $ 1,800,000

Budget:$1.8M

N/A

No Rotten Tomatoes ratings imported yet.

No Metacritic ratings imported yet.

17%47%

17% of the Stars & Main Cast are Female.

47% of the Stars & Main Cast are "diverse."

White46.67%Mixed / Other20%Black13.33%Jewish6.67%Latino6.67%Asian6.67%

N/A

BechdeltestNo women talkingNo MPAA or IMDb parental guidance data has been imported yet.
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Moviemeter:

Wokeness

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Edit Family Friendly Rating

Total found: 36

Other sources

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/tt0300532/parentalguide last updated: 2024-10-26Update data
Commonsensemedia Rating https://www.commonsensemedia.org/movie-reviews/blue-crush last updated: 2024-10-26Update data
Message 3/5	Women shown competing in surfing, a once male-dominated sport, and standing up to men who say otherwise.
Role model 3/5
Violence 2/5	Lead character haunted by the memory of when she wiped out surfing and hit her head on a coral reef. Lead character gets stuck underwater when her ankle leash gets stuck on a rock. Talk of how the area where the surfing contest is held is the deadliest in the world. Fistfight; male character shown beaten and bloodied.
Sex 2/5	Lead female and male characters shown sleeping together, kissing. While working as maids in a hotel, one of the female lead characters gets a used condom stuck to her shoe; the lead female character puts it in a bucket, takes it to the beach, finds the person responsible, and holds the used condom for everyone to see.
Language 3/5	Occasional profanity: "horses--t," "s--t," a--hole," "pissed," "bitch," "hell." Middle-finger gesture. Football player gets on a microphone and tells everyone at a luau that his nickname is "p--n daddy." Tween girl calls the Speedo suits a man wears "nut huggers."
Consumerism 1/5	Lead character offered a Billabong sponsorship deal.
Drugs 3/5	Underage drinking and smoking. Tween girl drinks and acts drunk at a party. Her older sister finds marijuana pipes in her bedroom. Empty booze bottles in an extremely messy hotel room, and booze vomit shown on the floors and around the toilet.
Dove Rating https://dove.org/review/3801-blue-crush/
Faith 0/5	None
Sex 3/5	None
Language 4/5	None
Violence 2/5	None
Drugs 2/5	None
Nudity 3/5	None
Other 0/5	None