Blow the Man Down

Summary: Mary Beth and Priscilla Connolly attempt to cover up a gruesome run-in with a dangerous man. To conceal their crime, the sisters must go deep into the criminal underbelly of their hometown, uncovering the town's darkest secrets.

Release Date: March 20, 2020

Genres: Comedy, Drama, Mystery

Directors: Bridget Savage Cole

, Danielle Krudy

Writers: Danielle Krudy

, Bridget Savage Cole

Runtime: 1 h 31 min

MPAA: R

Production: Secret Engine, Tango Entertainment (III)

Country: United States

Language: English

-25%

The Rotten Tomatoes audience rated this -25% lower than the critics.

98%73%

No Metacritic ratings imported yet.

50%0%

50% of the Stars & Main Cast are Female.

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

White94.12%Jewish5.88%

2.34

BechdeltestPassed!MPAAR

IMDb

NUDITYMildVIOLENCEModeratePROFANITYSevereALCOHOLMildFRIGHTENINGMild

Commonsensemedia

Violence4/5
Sex3/5
Language4/5
Drugs4/5

This film gets a 2.34/5 family friendly score

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CONTENT BREAKDOWN

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Race	White	Jewish	Black	Asian	Total	Visuals	Info
Forebears	5		2		7
Ethnic	1	4			5		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	3		1	1	5		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
Crowd		1			1		This is the crowdsourced dataset created by users like you! We greatly appreciate your cooperation in making ZR the most accurate and massive database on the internet. Sometimes the verdicts are submitted by looks alone, sometimes users attach an image and a source link. Due to this inconsistency please take the results with a grain of salt and click each actor for more info.
Total	9	5	3	1	18
Cast Percentages	50%	27.78%	16.67%	5.56%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":50,"color":"#2b908f","sliced":true,"selected":true},{"name":"Jewish","y":27.78,"color":"#ff0066","sliced":true,"selected":true},{"name":"Black","y":16.67,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Asian","y":5.56,"color":"#90ee7e","sliced":true,"selected":true}],"prefix":""}
U.S. Population (1990) Percentage	75.6%	2.22%	12.1%	2.78%		{"name":"U.S. Population (1990)","series":[{"name":"White","y":75.6,"color":"#2b908f"},{"name":"Arab","y":0.35,"color":"#DF5353"},{"name":"Asian","y":2.78,"color":"#90ee7e"},{"name":"Black","y":12.1,"color":"#f45b5b"},{"name":"Indian","y":0.33,"color":"#7798BF"},{"name":"Indigenous","y":0.8,"color":"#aaeeee"},{"name":"Latino","y":9,"color":"#eeaaee"},{"name":"Mixed \/ Other","y":3.9,"color":"#55BF3B"},{"name":"Jewish","y":2.22,"color":"#ff0066"}],"prefix":""}	Source: US Census (Note: Racial and ethnic categories overlap so the sum will not equal 100%.)
U.S. Population (1990) Representation	-25.6	+25.56	+4.57	+2.78		{"name":"U.S. Population (1990)","series":[["White",75.6],["Jewish",2.22],["Black",12.1],["Asian",2.78]],"cast":[{"name":"White","y":50,"color":"#2b908f"},{"name":"Jewish","y":27.78,"color":"#ff0066"},{"name":"Black","y":16.67,"color":"#f45b5b"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
U.S. Buying Power (2000) Percentage	81.25%		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":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2000) Representation	-31.25		+8.95	+2.06		{"name":"U.S. Buying Power (2000)","series":[["White",81.25],["Jewish",0],["Black",7.72],["Asian",3.5]],"cast":[{"name":"White","y":50,"color":"#2b908f"},{"name":"Jewish","y":27.78,"color":"#ff0066"},{"name":"Black","y":16.67,"color":"#f45b5b"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
U.S. Average Individual Income (2018) Percentage	80.3%		8.65%	3.28%		{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":12078730400895,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":492694654404,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1301541039245,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":91710978434,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":646415280000,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":431114358324,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	-30.3		+8.02	+2.28		{"name":"U.S. Average Individual Income (2018)","series":[["White",80.3],["Jewish",0],["Black",8.65],["Asian",3.28]],"cast":[{"name":"White","y":50,"color":"#2b908f"},{"name":"Jewish","y":27.78,"color":"#ff0066"},{"name":"Black","y":16.67,"color":"#f45b5b"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
World population (1992) Percentage	17.84%	0.34%	10.52%	35%		{"name":"World population (1992) ","series":[{"name":"Mixed \/ Other","y":10596121575,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Latino","y":30821675401,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Indigenous","y":7193470722,"color":"#aaeeee","sliced":true,"selected":true},{"name":"White","y":96878442458,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":57125167938,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Asian","y":190026935420,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Arab","y":38911036281,"color":"#DF5353","sliced":true,"selected":true},{"name":"Indian","y":109563210222,"color":"#7798BF","sliced":true,"selected":true},{"name":"Jewish","y":1843199181,"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 (1992) Representation	+32.16	+27.44	+6.15	-29.44		{"name":"World population (1992) ","series":[["White",17.84],["Jewish",0.34],["Black",10.52],["Asian",35]],"cast":[{"name":"White","y":50,"color":"#2b908f"},{"name":"Jewish","y":27.78,"color":"#ff0066"},{"name":"Black","y":16.67,"color":"#f45b5b"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
World Buying Power Percentage	36.48%	1.11%	6.38%	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	+13.52	+26.67	+10.29	-23.9		{"name":"World Buying Power","series":[["White",36.48],["Jewish",1.11],["Black",6.38],["Asian",29.46]],"cast":[{"name":"White","y":50,"color":"#2b908f"},{"name":"Jewish","y":27.78,"color":"#ff0066"},{"name":"Black","y":16.67,"color":"#f45b5b"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
Notes		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.

artificial nails bag of money ballad bed and breakfast black comedy black tights blackmail body found bouquet of white lilies brothel car accident car crash chowder coastal town coleslaw condolence card cutting up a dead body dark comedy death of mother detective disingenuous dismembering a dead body disposing of a dead body drifting off the road drinking from a flask dumping a body in the ocean easter cove maine face slap falling asleep during conversation fictitious town fingernail fish store fisherman frying fish funeral funeral for mother gone fishing sign gun in glove compartment hair salon hiding under a bed hit on the head with a brick hundred dollar bill ice chest investigation knife lobster trap losing one's house loss of mother lost filet knife madame maine men's chorus murder murder investigation murderer murdered new england no romantic time oceanview bed and breakfast pimp police detective police interview police officer prostitute shot prostitution ring recovering the dead reference to martha stewart returning stolen money revolver romantic interest saying grace self defense singing sister sister sister relationship skiff slice of pie small town small town cop smothered to death smothered with a pillow snorting cocaine snow speared with harpoon spiked coffee stuffing a body in a box surprise ending throwing a body off a cliff trio of women warming by a fire washing off blood whore house winter woman in charge woman smothered

Parental Guide: +add

This film gets a 2.34/5 family friendly score

MPAA Certification	Rated R for language, some violence, sexual material and brief drug use
International Certification	Australia : MBrazil : 16France : 16Germany : 16Italy : VM16Mexico : 16Singapore : NC16Spain : 16United Kingdom : 15,N/C 15+United States : R
IMDb Rating https://www.imdb.com/title/tt8299768/parentalguide last updated: 2024-05-28Update data
Nudity Mild	Several instances where you hear moaning, groaning, thrusting from a man and/or a woman within a whorehouse. (No nudity is shown.) Vintage nude female photos and paintings around a bed and breakfast. Scantily clad woman in miniskirts and tight clothing seen throughout.
Profanity Severe	Frequent use of "fuck," 2 uses of "cunt," and many other expletives. At least 7 uses of "goddamn." There's not any 10 minute stretch of this movie without profane language. It's a great story if you can handle the foul mouths.
Alcohol Mild	Alexis lights a cigarette, presumably after turning a trick. Much drinking the day of Mary Margaret's funeral. Mary Beth and Gorski smoke cigarettes. He snorts coke.
Frightening Mild	The murder at the dock is pretty intense. Gorski is ready to force himself on Mary Beth.
Commonsensemedia Rating https://www.commonsensemedia.org/movie-reviews/blow-the-man-down last updated: 2024-05-28Update data
Message 0/5	Movie centers on the cover-up of a murder and the dark secrets of a fishing village.
Role model 0/5	Nearly all of the lead characters either commit terrible acts or are hiding dark secrets.
Violence 4/5	Character stabbed in the throat with a harpoon and killed. Attempted sexual assault. Drunk driving, resulting in a crash. Death by suffocation.
Sex 3/5	A bed-and-breakfast is actually a house of prostitution -- sounds of sex through the ceiling of the owner's office in some scenes. Vintage black-and-white photograph of a nude woman from the 1920s, full frontal.
Language 4/5	Frequent profanity. "F--k" used often. "C--t," "motherf----r," "bulls--t," "s--t," "bitches," "ass."
Drugs 4/5	Cocaine use. Binge drinking. Drunk driving. Vaping. Cigarette smoking.