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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 loved oreos. He had long fingernails. This was a person. She got thrown off of a golf course. This was a person. He took a lot of photos. This was a person. He was a Mac evangelist. This was a person. He  finished reading all of the works of Homer. This was a person. She was a cheapskate. This was a person. He was lactose intolerant. This was a person. She never ate breakfast. She ate a lot of chinese food. This was a person. He could play trumpet. This was a person. She was polite to salesmen. This was a person. He was a good dancer. This was a person. She could play banjo. This was a person. He knew how to get free satelittle television. This was a person. She always wore a hat. This was a person. He had a lot of Beatles records. This was a person. He was kind of addicted to ebay. This was a person. He had a bunch of cameras. This was a person. She was a crossword whiz. This was a person. He overtipped. This was a person. She was allergic to peanuts. This was a person. He was very good at cleaning. This was a person. He had a podcast. This was a person. She had braces on  her  teeth. This was a person. He went to the horseraces. This was a person. She helped strangers. She was going blind. This was a person. He was sporty. He went to the horseraces. This was a person. She ate a lot of fiber. This was a person. He  was a mason. This was a person. She  played soccer every weekend. This was a person. She could fall asleep anywhere. She was a dog person. This was a person. She was left-handed. She played a lot of social card games.  This was a person. She was 4 days sober. She  had VD. This was a person. She lived on breakfast bars. This was a person. She wrote for the newspaper. This was a person. She had a baby boy. This was a person. He talked during movies. This was a person. He spent a lot of time with old people. This was a person. He had just paid a crapload of money to get    teeth fixed. This was a person. She was left-handed. She spends a lot of time watching tennis. This was a person. She led the choir. She knew how to get free satelittle television. This was a person. He was very careful about conserving gasoline. This was a person. He had a twin. He  was learning to use CAD software. This was a person. He could play harmonica. He slept around. This was a person. He  could always get tickets. This was a person. She  was sleeping with  her  ex. This was a person. He was a skilled woodcarver. He had tropical fish. This was a person. She loved James Bond movies. She talked during movies. This was a person. He was a dog person. This was a person. He could play harmonica. This was a person. She got out of jail two years ago and never reunited with her family. This was a person. She was divorced. She had bonsai trees. This was a person. He had a lot of shoes. This was a person. He could juggle. This was a person. She played a lot of social card games.  This was a person. He had an awesome home theatre. He brought great food to social gatherings. This was a person. She  was a pharmacist. She has a suit at the cleaners. This was a person. He didn't get along with animals. He overtipped. This was a person. He wore earphones all the time. This was a person. She wanted to learn magic. This was a person. He  was a DJ. This was a person. She was very careful about conserving gasoline. This was a person. She was allergic to peanuts. This was a person. He was rough and tumble. He had a green thumb. This was a person. He was the richest of  his friends. This was a person. He never raised  hisvoice. He was homophobic. This was a person. He could fix anything. This was a person. He was good to people. He loved MASH. This was a person. He was divorced. This was a person. He excelled at woodworking.

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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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