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Disaster Casualties Visualization Tool: The Banana massacre: 1928

100 Dead Men and Women

The Banana massacre was a massacre of striking workers for the United Fruit Company on December 6, 1928 in the town of Ciénaga, Colombia. The number of dead has not been accurately noted.

This was a person. He wore a lot of jewelry. He watched a lot of sports on TV, but never played them  himself. This was a person. She was living with her sister. This was a person. She was a trivia master. This was a person. He had long fingernails. This was a person. She was a good dancer. This was a person. She made pie. This was a person. He  played soccer every weekend. He had a lot of Beatles records. This was a person. He had an unfortunate nickname. This was a person. She was rough and tumble. This was a person. He  was awaiting judgement for a DUI last month. This was a person. He  was a mason. He was rebuilding an engine. This was a person. He could play cricket. This was a person. He could play banjo. This was a person. She  scalped tickets This was a person. He was polite to telemarketers. This was a person. He was the unofficial relationship guru among   friends. This was a person. He  had been having trouble tying  his shoes because  he  pulled a muscle in his abs. This was a person. She  was a historian. This was a person. He had an awesome home theatre. This was a person. He kept to himself mostly This was a person. She was an expert barbecuer. This was a person. He  was a poet. This was a person. He wrote for the newspaper. This was a person. He  had a personal injury lawsuit working its way through the courts. He was afraid of heights. This was a person. She kept to herself mostly This was a person. He was sporty. This was a person. He loved to fish. This was a person. He wore a lot of hats.  This was a person. He led the choir. This was a person. He took a lot of photos. This was a person. She was a vegetarian. This was a person. He took a lot of photos. This was a person. She helped strangers. This was a person. She had just paid a crapload of money to get    teeth fixed. This was a person. She watched a lot of sports on TV, but never played them  herself. She loved oreos. This was a person. She  was a plumber. This was a person. She never carried cash. This was a person. She  was playing nine games of Words with Friends on  her  phone. This was a person. She  was a tailor. This was a person. He  kept buying vegetables, even though they always just went bad in  his fridge. He  was a drunk. This was a person. She wore a lot of hats.  This was a person. He chewed gum constantly. This was a person. He overtipped. He played World of Warcraft This was a person. She was sporty. This was a person. He had just paid a crapload of money to get    teeth fixed. This was a person. She  finished reading all of the works of Homer. This was a person. He was working  his  way through all of the shows on Netflix. This was a person. She was very good at cleaning. This was a person. She  was a mason. She  could always get tickets. This was a person. She loved nachos. This was a person. She  was a street vendor. This was a person. He  was sort of selfish in bed. This was a person. He was polite to salesmen. This was a person. She loved oreos. She ate a lot of chinese food. This was a person. He was homophobic. This was a person. He played a lot of social card games.  He chewed nicotine gum. This was a person. She  loved to make out. This was a person. He ate the food at convenience stores. This was a person. She was good at job interviews. This was a person. He wore earphones all the time. This was a person. She was polite to salesmen. She tutored kids. This was a person. She had a gun. This was a person. He was polite to telemarketers. He never finished the book club book. This was a person. He loved Elvis. This was a person. He was very careful about conserving gasoline. This was a person. He  was a plumber. He was an awful driver. This was a person. She had a bunch of cameras. This was a person. She had crazy hair colors. She just had the bandages removed from  plastic surgery. This was a person. He had a twin. This was a person. She  could always get tickets. She was afraid of the water. This was a person. She was cockeyed. This was a person. He was very careful about conserving gasoline. This was a person. He loved nachos. This was a person. She had a lot of music on vinyl. This was a person. He ate a lot of fish. This was a person. She could play cricket. This was a person. He always had a clean car. He had crazy hair colors. This was a person. She taught guitar. This was a person. He prefered bread without crusts. This was a person. She just had the bandages removed from  plastic surgery. This was a person. He made  his  own beer and was kind of stingy with it. He could fall asleep anywhere. This was a person. He was a glassblower. This was a person. She had a baby boy. This was a person. She grew up on a farm.  She loved fine dining. This was a person. He  was playing nine games of Words with Friends on  his  phone. This was a person. She  got a terrible haircut a few days ago and shaved  her  head to escape from it. This was a person. She didn't have a family. This was a person. She could play harmonica. This was a person. She played piano. This was a person. He  scalped tickets He was afraid of heights. This was a person. She had a green thumb. She chewed nicotine gum. This was a person. She was a vegetarian. This was a person. She was a trivia master. This was a person. He was good to people. This was a person. She was an expert barbecuer. This was a person. He was a cheapskate. This was a person. He  was sleeping with  his  ex. This was a person. He had crazy hair colors. He didn't get along with animals. This was a person. He was a wedding photographer. This was a person. She was the richest of  her friends. She was gluten intolerant.

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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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