Sharpeville Massacre Tragedy Casualties Visualization Tool - Cockeyed.com

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Disaster Casualties Visualization Tool: Sharpeville Massacre: 1960

69 Dead Men and Women

The Sharpeville massacre at the police station in the South African township of Sharpeville. After a day of demonstrations the South African police opened fire on the crowd of black protesters killing 69 people.

This was a person. She had an awesome home theatre.

This was a person. She ate a lot of hot dogs.

This was a person. She loved to make out.

This was a person. She ate a lot of fish. She ate a lot of hot dogs.

This was a person. He constantly wore sunglasses.

This was a person. He was a pharmacist.

This was a person. She was an awful driver.

This was a person. She was a crossword whiz. She has a suit at the cleaners.

This was a person. He was rough and tumble. He got thrown off of a golf course.

This was a person. He kept to himself mostly

This was a person. He never carried cash.

This was a person. He could fix anything. He was thrifty.

This was a person. He was kind of addicted to ebay.

This was a person. She had a lot of shoes.

This was a person. He sang at parties.

This was a person. She was a pharmacist.

This was a person. She can't watch the end of T2 without crying

This was a person. He loved nachos.

This was a person. She had a bunch of tattoos.

This was a person. He was cockeyed. He loved rollerblading.

This was a person. He was a vegetarian.

This was a person. She did open mike.

This was a person. She has four overdue books.

This was a person. She knew how to get free satelittle television. She loved MASH.

This was a person. She wrote for the newspaper.

This was a person. He was a hoarder. He didn't get along with animals.

This was a person. He made his own beer and was kind of stingy with it.

This was a person. She was a glassblower.

This was a person. He called in sick to work 9 times last month and was written up at work.

This was a person. He had an unfortunate nickname. He went to the horseraces.

This was a person. He spends a lot of time watching tennis.

This was a person. He could play banjo. He had long fingernails.

This was a person. She was an awful driver.

This was a person. She was a drunk.

This was a person. She made scrapbooks.

This was a person. She took a lot of photos. She wanted to learn magic.

This was a person. She was learning to speak French. She was learning to use CAD software.

This was a person. He was homophobic.

This was a person. She never finished the book club book.

This was a person. He was polite to salesmen. He loved chocolate.

This was a person. He survived cancer.

This was a person. He wore a lot of hats. He wore bow ties.

This was a person. He was cockeyed.

This was a person. He didn't get along with animals.

This was a person. She talked during movies.

This was a person. She was a scout leader.

This was a person. She excelled at woodworking.

This was a person. She was a glassblower. She ate a lot of hot dogs.

This was a person. He was a wedding photographer. He was polite to salesmen.

This was a person. She was an expert barbecuer. She could never remember to bring reusable bags in to the grocery store.

This was a person. He was a scout leader.

This was a person. He had a hangover yesterday.

This was a person. He was thrifty.

This was a person. She wore Spandex.

This was a person. He always had a clean car.

This was a person. She had a sexy phone voice.

This was a person. He could play banjo.

This was a person. She ate a lot of fish.

This was a person. He ate a lot of chinese food. He always brought reusable bags into the store.

This was a person. He could fix anything.

This was a person. She just had the bandages removed from plastic surgery. She picked up litter.

This was a person. She was a crossword whiz.

This was a person. He taught guitar. He wrote for the newspaper.

This was a person. She was the unofficial relationship guru among friends.

This was a person. He threw a lot of parties.

This was a person. He tutored kids.

This was a person. He smoked pot at music festivals.

This was a person. He was a trivia master.

This was a person. She always wore a hat.

View a different tragedy with the Disaster Visualization Tool

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Mouse-over body descriptions are randomly generated, intended to inject humanity into the raw number of dead. It cannot accurately represent the actual people who died in the tragedy.

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The Weight of Clothing

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