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 picked up litter.

This was a person. She could fall asleep anywhere. She was a cat person.

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

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

This was a person. He never raised hisvoice.

This was a person. He was sort of selfish in bed. He was a trivia master.

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

This was a person. She never drank coffee.

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

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

This was a person. He loved nachos. He survived cancer.

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

This was a person. She was kind of addicted to ebay.

This was a person. He was polite to telemarketers.

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

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

This was a person. She was left-handed.

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

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

This was a person. She was a drunk.

This was a person. She loved Elvis. She had a podcast.

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

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

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

This was a person. He kept to himself mostly

This was a person. She was a plumber. She could always get tickets.

This was a person. She had bonsai trees. She ate a lot of raisins.

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

This was a person. He watched a lot of sports on TV, but never played them himself. He was a glassblower.

This was a person. She was cockeyed.

This was a person. She was polite to salesmen. She sang.

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

This was a person. She was 4 days sober.

This was a person. He chewed gum constantly. He could play banjo.

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

This was a person. He loved nachos.

This was a person. He was rough and tumble. He abused cars.

This was a person. He was lactose intolerant.

This was a person. She was an awful driver.

This was a person. He had a sexy phone voice. He wore a lot of black clothing.

This was a person. She chewed gum constantly. She was polite to salesmen.

This was a person. She got a terrible haircut a few days ago and shaved her head to escape from it. She scalped tickets

This was a person. She was sporty.

This was a person. She always brought lunch.

This was a person. He went to church.

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

This was a person. He was a secret Buddahist. He had a podcast.

This was a person. He loved oreos.

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

This was a person. She was a tailor. She made her own beer and was kind of stingy with it.

This was a person. She was a secret Buddahist.

This was a person. She was polite to telemarketers. She had crazy hair colors.

This was a person. He was homophobic.

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

This was a person. He went to the horseraces.

This was a person. She was the richest of her friends. She wrote for the newspaper.

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

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

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

This was a person. He loved wine. He tutored kids.

This was a person. She was sleeping with her ex.

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

This was a person. She was a translator.

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

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

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

This was a person. He was a virgin.

This was a person. She was homophobic.

This was a person. She was thrifty. She wanted to learn magic.

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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The Weight of Clothing

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