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 loved Elvis.

This was a person. He had crazy hair colors.

This was a person. She had just paid a crapload of money to get her teeth fixed. She loved MASH.

This was a person. She always brought lunch. She snored.

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

This was a person. She was a plumber.

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

This was a person. He could play trumpet.

This was a person. She was rebuilding an engine.

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

This was a person. She loved nachos. She grew up on a farm.

This was a person. He went to church. He had a lot of music on vinyl.

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

This was a person. He was polite to telemarketers.

This was a person. He always made the mashed potatoes at family get-togethers.

This was a person. He never carried cash.

This was a person. She did open mike. She loved James Bond movies.

This was a person. He was a pharmacist. He scalped tickets

This was a person. He was an expert barbecuer.

This was a person. She was allergic to peanuts. She always had a clean car.

This was a person. She had a podcast.

This was a person. She scalped tickets

This was a person. She kept to herself mostly

This was a person. She was a plumber.

This was a person. He survived cancer.

This was a person. He constantly wore sunglasses.

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

This was a person. She had a hangover yesterday.

This was a person. She was polite to telemarketers.

This was a person. She was a translator.

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

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

This was a person. She has four overdue books. She was good to people.

This was a person. He could fall asleep anywhere.

This was a person. She had a bunch of tattoos. She could fix anything.

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

This was a person. She talked during movies.

This was a person. He has four overdue books.

This was a person. He was afraid of the water. He was divorced.

This was a person. He snored. He ate a lot of chinese food.

This was a person. He could juggle.

This was a person. She loved pot.

This was a person. She picked up litter.

This was a person. He chewed gum constantly.

This was a person. He was a skilled woodcarver.

This was a person. He smoked pot at music festivals. He was really good at geography.

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

This was a person. He led the choir.

This was a person. She wore bow ties.

This was a person. He had a twin.

This was a person. He wore bow ties.

This was a person. He was a secret Buddahist.

This was a person. She was polite to salesmen.

This was a person. He threw a lot of parties.

This was a person. She never raised hervoice. She wanted to learn magic.

This was a person. She was a translator.

This was a person. He excelled at woodworking.

This was a person. He could play banjo.

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

This was a person. She was a historian.

This was a person. He was 4 days sober.

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

This was a person. He was a virgin.

This was a person. She was a skilled woodcarver.

This was a person. He was thrifty.

This was a person. She taught guitar.

This was a person. She was a teacher.

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

This was a person. He was divorced. He was gluten intolerant.

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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Photographic Height/Weight Chart

The Weight of Clothing

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