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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  was kind of an awesome lover. This was a person. She  had VD. This was a person. He excelled at woodworking. This was a person. She ate a lot of fish. She was good at job interviews. This was a person. She  had a hangover yesterday. This was a person. He  kept buying vegetables, even though they always just went bad in  his fridge. This was a person. She grew up on a farm.  This was a person. He loved cigarettes. This was a person. He was homophobic. He wanted to learn magic. This was a person. He  was a plumber. He never carried cash. This was a person. She  volunteered at a middle school, because  she  had a crush on one of the other tutors. This was a person. He was allergic to peanuts. He sang. This was a person. She brought great food to social gatherings. This was a person. He could fix anything. This was a person. He had a lot of shoes. This was a person. He abused cars. This was a person. He could play trumpet. This was a person. He looked like a cartoon. He grew up on a farm.  This was a person. He helped strangers. He loved MASH. This was a person. He was polite to telemarketers. This was a person. He ate a lot of fish. He loved pot. This was a person. He had a baby boy. This was a person. She never drank coffee. She loved nachos. This was a person. He had a bunch of cameras. He loved pot. This was a person. She had long fingernails. This was a person. She had a sexy phone voice. This was a person. He wanted to learn magic. He loved cigarettes. This was a person. She had a lot of music on vinyl. This was a person. He was a cat person. This was a person. She ate a lot of hot dogs. This was a person. He was a skilled woodcarver. He was thrifty. This was a person. She made pie. This was a person. She played a lot of social card games.  This was a person. She watched a lot of sports on TV, but never played them  herself. This was a person. She wore a lot of hats.  She plays fantasy football. This was a person. She was a scout leader.  This was a person. She  was afraid of flying. This was a person. He got out of jail two years ago and never reunited with his family. He  was awaiting judgement for a DUI last month. This was a person. She made scrapbooks. This was a person. He was living with his sister. This was a person. He knew a lot of cops. He was a vegetarian. This was a person. He had a baby boy. He  had VD. This was a person. She ate a lot of chinese food. This was a person. She was polite to salesmen. She wore Spandex. This was a person. She was thrifty. She lived on breakfast bars. This was a person. She was an awful driver. This was a person. She  was a translator. She was a trivia master. This was a person. She picked up litter.  This was a person. He always had a clean car. He was a cheapskate. This was a person. He  was a tailor. He was a Mac evangelist. This was a person. He was rebuilding an engine. He did not sleep with a pillow. This was a person. He ate a lot of hot dogs. This was a person. He was a trivia master. This was a person. He was a glassblower. This was a person. He played piano. He wrote for the newspaper. This was a person. He  was a historian. He  played soccer every weekend. This was a person. She  loved to make out. This was a person. He ate a lot of hot dogs. This was a person. He loved to fish. This was a person. He loved cigarettes. This was a person. He never raised  hisvoice. This was a person. She made  her  own beer and was kind of stingy with it. She did not sleep with a pillow. This was a person. She  was a translator. This was a person. He  always bought flowers for  his  desk. This was a person. She ate a lot of fish. This was a person. She was an expert barbecuer. This was a person. He had a gun. This was a person. She  was a teacher. This was a person. She loved chocolate. This was a person. She ate a lot of fish. This was a person. She had a lot of shoes. She rode motorcycles. This was a person. She had a bunch of tattoos. This was a person. She was the unofficial relationship guru among   friends. This was a person. She had a lot of shoes. She loved museums. This was a person. He was living with his sister. He  was afraid of flying. This was a person. He played a lot of social card games.  This was a person. He loved oreos. This was a person. He  was a teacher. This was a person. She had a bunch of tattoos. This was a person. He  was a tailor. This was a person. She  was a translator. This was a person. He spent a lot of time with old people. He fed the birds. This was a person. She slept around. She got thrown off of a golf course. This was a person. He always had a clean car. This was a person. He brought great food to social gatherings. This was a person. He  could always get tickets. This was a person. He  volunteered at a middle school, because  he  had a crush on one of the other tutors. He  was a historian. This was a person. She ate a lot of chinese food. This was a person. She  was a street vendor. This was a person. He was the richest of  his friends. This was a person. He wore a lot of jewelry. This was a person. She was good at job interviews. This was a person. He  was a poet. This was a person. He could play trumpet. This was a person. She couldn't grow a mustache. This was a person. He  could always get tickets. This was a person. He was afraid of the water. This was a person. He abused cars. This was a person. She had a bunch of tattoos. She had an awesome home theatre. This was a person. She was a cheapskate. She chewed nicotine gum.

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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