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 had crazy hair colors.

This was a person. He played World of Warcraft

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

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

This was a person. She had extensions.

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

This was a person. She was an expert barbecuer.

This was a person. He was a secret Buddahist. He brought great food to social gatherings.

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

This was a person. She was a vegetarian.

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

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

This was a person. She made pie.

This was a person. He looked like a cartoon. He was cockeyed.

This was a person. He always brought reusable bags into the store. He was cockeyed.

This was a person. She plays fantasy football.

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

This was a person. She ate a lot of fish. She was good at job interviews.

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

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

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

This was a person. She was a glassblower. She ate a lot of fiber.

This was a person. She was the richest of her friends.

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

This was a person. She was allergic to peanuts.

This was a person. She loved cigarettes.

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

This was a person. He loved fine dining.

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

This was a person. He was a street vendor.

This was a person. He prefered bread without crusts. He ate a lot of chinese food.

This was a person. She was gluten intolerant.

This was a person. She was a translator. She was rebuilding an engine.

This was a person. She lived on breakfast bars. She ate a lot of fiber.

This was a person. He collected figurines.

This was a person. She had a hangover yesterday.

This was a person. He was living with his sister.

This was a person. She was a glassblower.

This was a person. He loved cigarettes.

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

This was a person. She was lactose intolerant.

This was a person. She could fall asleep anywhere.

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

This was a person. She always brought lunch.

This was a person. He was good at job interviews. He loved chocolate.

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

This was a person. She was cockeyed.

This was a person. She played soccer every weekend.

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

This was a person. She was good to people.

This was a person. She tutored kids.

This was a person. She had long fingernails.

This was a person. He ate a lot of fiber. He loved cigarettes.

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

This was a person. She plays fantasy football. She loved MASH.

This was a person. She had a podcast.

This was a person. She had bonsai trees.

This was a person. He always wore a hat. He wore a lot of hats.

This was a person. She was divorced.

This was a person. He had VD.

This was a person. She could fix anything. She loved to fish.

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

This was a person. She played soccer every weekend. She was a Mac evangelist.

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

This was a person. She loved nachos. She just had the bandages removed from plastic surgery.

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

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

This was a person. She was the richest of her friends.

This was a person. He was polite to telemarketers.

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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