Carry on Spying

Summary: Agent Simpkins and trainees chase STENCH (the Society for the Total Extinction of Non-Conforming Humans) for a stolen chemical formula, using gadgets and disguises to defeat villains The Fat Man, Dr Milchman, and Dr Crow.

Release Date: September 12, 1964

Genre: Comedy

Director: Gerald Thomas

Writers: Talbot Rothwell

, Sid Colin

Runtime: 1 h 27 min

Production: Peter Rogers Productions

Distributor: Anchor Bay Entertainment, Governor Films

Country: United Kingdom

Language: English

Possible lazy cash grab:

sequel

-22%

The Rotten Tomatoes audience rated this -22% lower than the critics.

83%61%

No Metacritic ratings imported yet.

22%6%

22% of the Stars & Main Cast are Female.

6% of the Stars & Main Cast are "diverse."

White94.44%Asian5.56%

N/A

LGBTQ content included:

cross dressing

Possibly woke elements:

female agent

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Race	White	Asian	Total	Visuals	Info
Kairos	13	1	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	2		2
Ethnic	1		1		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/
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
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 (1960) Percentage	88.6%	0.55%		{"name":"U.S. Population (1960)","series":[{"name":"White","y":88.6,"color":"#2b908f"},{"name":"Arab","y":0,"color":"#DF5353"},{"name":"Asian","y":0.55,"color":"#90ee7e"},{"name":"Black","y":10.5,"color":"#f45b5b"},{"name":"Indian","y":0,"color":"#7798BF"},{"name":"Indigenous","y":0.3,"color":"#aaeeee"},{"name":"Latino","y":3.2,"color":"#eeaaee"},{"name":"Mixed \/ Other","y":0.04,"color":"#55BF3B"},{"name":"Jewish","y":3.08,"color":"#ff0066"}],"prefix":""}	Source: US Census (Note: Racial and ethnic categories overlap so the sum will not equal 100%.)
U.S. Population (1960) Representation	+5.84	+5.01		{"name":"U.S. Population (1960)","series":[["White",88.6],["Asian",0.55]],"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":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2000) Representation	+13.19	+2.06		{"name":"U.S. Buying Power (2000)","series":[["White",81.25],["Asian",3.5]],"cast":[{"name":"White","y":94.44,"color":"#2b908f"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
U.S. Average Individual Income (2018) Percentage	90.44%	0.62%		{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":10589421149084,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":72918000376,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":844891229508,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":25727145410,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":171932544000,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":3307705826,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	+4	+4.94		{"name":"U.S. Average Individual Income (2018)","series":[["White",90.44],["Asian",0.62]],"cast":[{"name":"White","y":94.44,"color":"#2b908f"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
World population (1964) Percentage	23.73%	34.86%		{"name":"World population (1964) ","series":[{"name":"Mixed \/ Other","y":6124792115,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Latino","y":17900471814,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Indigenous","y":3705229741,"color":"#aaeeee","sliced":true,"selected":true},{"name":"White","y":76791028058,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":28736159195,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Asian","y":112816769609,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Arab","y":18350989909,"color":"#DF5353","sliced":true,"selected":true},{"name":"Indian","y":57906945903,"color":"#7798BF","sliced":true,"selected":true},{"name":"Jewish","y":1257193273,"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 (1964) Representation	+70.71	-29.3		{"name":"World population (1964) ","series":[["White",23.73],["Asian",34.86]],"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.

1960s acid actor shares first name with character agent algiers algeria all female army arab arch villain army base attache case austria automation bed of nails belly dancer bending over bicycle blond blonde bottle bra and panties brainwashing britain british british comedy british intelligence british secret service british sex comedy briton abroad broken door brothel call is coming from the same location camera focus on female butt camp campy carry on casbah cat suit cctv cell cigarette cigarette smoking cleavage climbing outside a train cocktail code name comedy of errors compact conveyor belt cross dressing cyclist disguise double agent drugged drink dying words eating paper elevator england englishman abroad englishwoman abroad escapade escape escape tunnel espionage explosion factory fake beard falling into a manhole farce fat man female agent female singer female spy fez fight flashlight flat bicycle tire following someone foot chase formula funhouse gadget gadgetry garrote gender disguise gun harem hatch held at gunpoint hiding in a closet hit on the head hit on the head with a pot hit with a door hookah hypnotism independent film intelligence intelligence agency intelligence agent interrogation james bond spoof kidnapping knife in back knife throwing knocked out laboratory lingerie london england lounge singer man dresses as a woman manhole market milkman mind control mine car mission monitor morse code movie spoof mysterious villain mystery villain narrow escape ninth part north africa orient express pack of cigarettes pants falling down parody photographic memory pipe pistol radio research facility restaurant reverse footage revolver scene during opening credits scientist secret agent secret base secret device secret file secret formula secret headquarters secret lab secret master villain secret mission secret plan secret revealed secret service security camera self destruct mechanism sequel sex comedy sex spoof sheikh shooting range shoulder holster slapstick comedy snake charmer sonar soup split pants spoof spy spy comedy spy gang spy hero spy mission spy spoof spying stockings submachine gun surveillance tape tape recorder telephone call three word title toilet top secret torch train train compartment tram tuxedo undercover undercover agent underground complex vienna austria villain villainess villainy warehouse weapon woman wears underwear woman with a gun wristwatch

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Mar 30th 2019

New Year Damewatch

2016 is upon us, and so is the Queen's New Year Honours list. Which is showbizzier than it used to be. So, from the ranks, here are a trio of damehoods that caught my eye - Kiwi, Cockney and Cymru. Jane Campion was only the second woman to be nominated

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