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 chinese food. She sang.

This was a person. She was an awful driver.

This was a person. She was a historian. She just had her car stereo repaired.

This was a person. He was a tailor.

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

This was a person. She has two living parents.

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

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

This was a person. He was gluten intolerant.

This was a person. He had a baby boy. He only ever had sex with one person.

This was a person. He had an unfortunate nickname.

This was a person. He loved cigarettes.

This was a person. She loved chocolate.

This was a person. She collected figurines.

This was a person. He kept to himself mostly

This was a person. He grew up on a farm.

This was a person. She was good at job interviews.

This was a person. She was a teacher. She was afraid of heights.

This was a person. She was a street vendor.

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

This was a person. She was a good dancer.

This was a person. He loved oreos.

This was a person. He helped people.

This was a person. She was a hoarder.

This was a person. He was a mason.

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

This was a person. He played piano.

This was a person. He just had the bandages removed from plastic surgery.

This was a person. He went to the horseraces.

This was a person. He was a skilled woodcarver.

This was a person. He never finished the book club book. He always had gum.

This was a person. He made scrapbooks. He never tried gin.

This was a person. He was a mason.

This was a person. He played chess.

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

This was a person. He had bonsai trees.

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

This was a person. She knew a lot of cops. She wrote for the newspaper.

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

This was a person. She loved pot.

This was a person. She had VD. She was a poet.

This was a person. She wrote for the newspaper.

This was a person. He could juggle.

This was a person. She had extensions.

This was a person. He was a skilled woodcarver.

This was a person. She looked like a cartoon.

This was a person. She was a poet.

This was a person. She was a virgin.

This was a person. She never carried cash.

This was a person. She had extensions.

This was a person. He had bonsai trees.

This was a person. He has two living parents.

This was a person. She never raised hervoice.

This was a person. He always had gum.

This was a person. She picked up litter. She wore bow ties.

This was a person. She played chess.

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

This was a person. She was living with her sister.

This was a person. He was allergic to peanuts.

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

This was a person. He always wore a hat. He was a good dancer.

This was a person. He has four overdue books.

This was a person. He scalped tickets

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

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 a bunch of tattoos. He taught guitar.

This was a person. She did open mike.

This was a person. She was an awful driver.

This was a person. He lived on breakfast bars.

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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