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 could juggle.

This was a person. She had a podcast.

This was a person. She loved chocolate.

This was a person. She was polite to telemarketers.

This was a person. She was an awful driver.

This was a person. He abused cars. He was balding.

This was a person. He made pie.

This was a person. He was polite to telemarketers.

This was a person. He had a baby boy.

This was a person. She had VD.

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

This was a person. He played a lot of social card games. He played World of Warcraft

This was a person. He was a plumber.

This was a person. She wore a lot of jewelry.

This was a person. He loved chocolate. He wore a lot of hats.

This was a person. She loved James Bond movies.

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

This was a person. She played World of Warcraft

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

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

This was a person. He wore Spandex. He knew how to get free satelittle television.

This was a person. He excelled at woodworking. He couldn't swim.

This was a person. She taught guitar.

This was a person. He was the richest of his friends. He wanted to learn magic.

This was a person. He was left-handed. He spent a lot of time with old people.

This was a person. She dropped her work laptop last week, destroyed it and couldn't sleep for days.

This was a person. She could play trumpet. She loved pot.

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

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

This was a person. He was afraid of heights.

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

This was a person. She was a dog person. She was allergic to peanuts.

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

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

This was a person. She was 4 days sober.

This was a person. She loved Elvis.

This was a person. He was a tailor.

This was a person. She only ever had sex with one person.

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

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

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. He had long fingernails.

This was a person. He always bought flowers for his desk.

This was a person. She loved Elvis.

This was a person. She was lactose intolerant.

This was a person. He once robbed a bank.

This was a person. He had VD.

This was a person. She was homophobic.

This was a person. She had VD. She was an awful driver.

This was a person. He had long fingernails.

This was a person. He snored.

This was a person. She went to church.

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

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

This was a person. He loved pot.

This was a person. He had a green thumb.

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

This was a person. He had a podcast.

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

This was a person. He was a dog person. He was allergic to peanuts.

This was a person. She overtipped.

This was a person. She played World of Warcraft

This was a person. He sang at parties.

This was a person. She has four overdue books. She was an expert barbecuer.

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

This was a person. She was an expert barbecuer.

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

This was a person. She always had gum.

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

View a different tragedy with the Disaster Visualization Tool

Jonestown | The Titanic | Kent State Shootings | My Lai | Lockerbie bombing | Kent State Shootings | Tiananmen Square Massacre | The Banana massacre | The Boyd Massacre | Mountain Meadows massacre | Kfar Etzion Massacre | Sharpeville Massacre | The Miami Showband Massacre | The Novocherkassk massacre | Tokyo Subway Sarin attack | Sinking of the Titanic | The Happy Land Fire | Brooklyn Bridge stampede | 1990 Pilgrim Stampede | Luxor hot air balloon crash |

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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