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. He overtipped. He once robbed a bank.

This was a person. She was afraid of the water.

This was a person. He has a suit at the cleaners.

This was a person. She was a plumber.

This was a person. She made scrapbooks.

This was a person. He was polite to telemarketers. He was very good at cleaning.

This was a person. She was lactose intolerant.

This was a person. She once robbed a bank.

This was a person. She could play cricket.

This was a person. She loved James Bond movies.

This was a person. She could play cricket.

This was a person. She was a pharmacist.

This was a person. She made her own beer and was kind of stingy with it.

This was a person. She was rough and tumble.

This was a person. He wanted to learn magic. He ate a lot of hot dogs.

This was a person. She was 4 days sober.

This was a person. He was a crossword whiz.

This was a person. She did not own a fridge.

This was a person. He was a DJ. He was working his way through all of the shows on Netflix.

This was a person. He survived cancer.

This was a person. She was a hoarder.

This was a person. He did open mike.

This was a person. She excelled at woodworking.

This was a person. He prefered bread without crusts.

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

This was a person. She wore a lot of hats. She played guitar on the streets for money.

This was a person. She was a cheapskate.

This was a person. She had a hangover yesterday. She loved to make out.

This was a person. She was sleeping with her ex. She made her own beer and was kind of stingy with it.

This was a person. He was left-handed. He has four overdue books.

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

This was a person. He was sort of selfish in bed.

This was a person. She chewed gum constantly. She always had a clean car.

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

This was a person. He scalped tickets

This was a person. He kept buying vegetables, even though they always just went bad in his fridge.

This was a person. He had extensions.

This was a person. She never drank coffee. She ate a lot of chinese food.

This was a person. He got a terrible haircut a few days ago and shaved his head to escape from it.

This was a person. She did open mike.

This was a person. He was good to people.

This was a person. He was kind of an awesome lover.

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

This was a person. He was a cheapskate.

This was a person. He was a street vendor. He was a tailor.

This was a person. He was sleeping with his ex.

This was a person. She chewed gum constantly.

This was a person. He had extensions. He overtipped.

This was a person. She was a dog person.

This was a person. He was a secret Buddahist.

This was a person. She loved to fish.

This was a person. He did not own a fridge.

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

This was a person. He was a mason. He was always in a hurry.

This was a person. He plays fantasy football.

This was a person. She had braces on her teeth. She was a secret Buddahist.

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

This was a person. She was very good at cleaning. She led the choir.

This was a person. He played chess.

This was a person. She was divorced.

This was a person. He could always get tickets.

This was a person. He loved Elvis. He was a dog person.

This was a person. She was afraid of heights.

This was a person. He couldn't grow a mustache.

This was a person. He brought great food to social gatherings. He prefered bread without crusts.

This was a person. He loved fine dining. He once robbed a bank.

This was a person. She was rebuilding an engine. She had a lot of music on vinyl.

This was a person. He could fall asleep anywhere.

This was a person. He had extensions.

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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