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 ate a lot of kale.

This was a person. He was a dog person.

This was a person. He helped strangers. He wore a lot of black clothing.

This was a person. She was a glassblower.

This was a person. He had just paid a crapload of money to get teeth fixed.

This was a person. She loved fine dining.

This was a person. He played piano.

This was a person. He was training to run a marathon.

This was a person. He never ate breakfast.

This was a person. He loved pot.

This was a person. She was 4 days sober.

This was a person. He had a baby boy. He was sort of selfish in bed.

This was a person. He had braces on his teeth.

This was a person. She ate the food at convenience stores.

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

This was a person. She did not sleep with a pillow.

This was a person. She always bought flowers for her desk. She was a translator.

This was a person. He threw a lot of parties. He chewed gum constantly.

This was a person. She was a skilled woodcarver.

This was a person. She had bonsai trees.

This was a person. She brought great food to social gatherings. She could play cricket.

This was a person. He brought great food to social gatherings.

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

This was a person. He loved Elvis.

This was a person. She was a vegetarian.

This was a person. He did not sleep with a pillow.

This was a person. She played piano.

This was a person. He lived on breakfast bars.

This was a person. She never raised hervoice. She was the richest of her friends.

This was a person. She could play harmonica.

This was a person. She brought great food to social gatherings.

This was a person. He plays fantasy football. He once robbed a bank.

This was a person. He was sort of selfish in bed. He could always get tickets.

This was a person. He played piano. He chewed gum constantly.

This was a person. She played soccer every weekend.

This was a person. He was a virgin.

This was a person. She prefered bread without crusts. She could play banjo.

This was a person. He always brought lunch. He had a bunch of cameras.

This was a person. She always bought flowers for her desk. She scalped tickets

This was a person. He played chess. He was balding.

This was a person. He chewed nicotine gum.

This was a person. He was homophobic.

This was a person. He was cockeyed. He was good to people.

This was a person. He always brought lunch.

This was a person. He was a historian.

This was a person. He played chess. He loved rollerblading.

This was a person. He could play cricket.

This was a person. He didn't have a family.

This was a person. He loved to fish.

This was a person. She had extensions.

This was a person. She was afraid of flying.

This was a person. She played chess.

This was a person. He led the choir.

This was a person. He had a personal injury lawsuit working its way through the courts. He has a suit at the cleaners.

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

This was a person. She had crazy hair colors. She led the choir.

This was a person. He had a twin.

This was a person. He loved to fish. He brought great food to social gatherings.

This was a person. She picked up litter.

This was a person. He ate a lot of raisins.

This was a person. He ate a lot of kale. He was a good dancer.

This was a person. She was afraid of flying.

This was a person. She slept around. She led the choir.

This was a person. He played chess.

This was a person. She survived cancer.

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

This was a person. He was playing nine games of Words with Friends on his phone.

This was a person. She was a poet.

This was a person. He loved nachos.

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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Photographic Height/Weight Chart

The Weight of Clothing

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