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 survived cancer.

This was a person. He had extensions.

This was a person. She was a street vendor.

This was a person. He plays fantasy football.

This was a person. She was a drunk.

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

This was a person. She has a suit at the cleaners. She could fix anything.

This was a person. He chewed nicotine gum. He excelled at woodworking.

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

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

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

This was a person. She was sporty.

This was a person. He could always get tickets.

This was a person. She was an awful driver. She was kind of addicted to ebay.

This was a person. She finished reading all of the works of Homer.

This was a person. He was very careful about conserving gasoline.

This was a person. She was awaiting judgement for a DUI last month.

This was a person. He had a lot of Beatles records. He was thrifty.

This was a person. She knew a lot of cops.

This was a person. He never ate breakfast.

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

This was a person. She was cockeyed.

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

This was a person. She always brought lunch.

This was a person. She was a good dancer.

This was a person. He ate a lot of raisins. He was very good at cleaning.

This was a person. He wanted to learn magic. He ate a lot of chinese food.

This was a person. She collected figurines.

This was a person. He had a bunch of cameras.

This was a person. She constantly wore sunglasses.

This was a person. She was playing nine games of Words with Friends on her phone.

This was a person. She helped strangers.

This was a person. He was a virgin.

This was a person. He led the choir. He played chess.

This was a person. She was a glassblower. She could play cricket.

This was a person. He volunteered at a middle school, because he had a crush on one of the other tutors.

This was a person. She never raised hervoice.

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

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

This was a person. She ate a lot of chinese food.

This was a person. He constantly wore sunglasses.

This was a person. She could play cricket.

This was a person. He was allergic to peanuts.

This was a person. He was a hoarder. He was left-handed.

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

This was a person. He was a glassblower.

This was a person. She was awaiting judgement for a DUI last month.

This was a person. He chewed nicotine gum.

This was a person. She was a mason.

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

This was a person. She took careful notes after every meal.

This was a person. She was good to people. She was obsessed with sitcoms.

This was a person. He was a cat person.

This was a person. He played soccer every weekend.

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

This was a person. She helped people.

This was a person. She excelled at woodworking.

This was a person. He loved nachos.

This was a person. She always had gum.

This was a person. She excelled at woodworking.

This was a person. She had long fingernails.

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

This was a person. She wore bow ties.

This was a person. She was a translator.

This was a person. She was afraid of flying.

This was a person. She was sporty.

This was a person. She was rebuilding an engine. She loved James Bond movies.

This was a person. She tutored kids.

This was a person. He was a historian. He did open mike.

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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