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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. She wore a lot of hats.  This was a person. He  loved to make out. This was a person. She got out of jail two years ago and never reunited with her family. This was a person. She always had gum. This was a person. She wore Spandex. This was a person. He went to the horseraces. He spent a lot of time with old people. This was a person. She spends a lot of time watching tennis. This was a person. She had an awesome home theatre. She was a vegetarian. This was a person. He  was playing nine games of Words with Friends on  his  phone. This was a person. He had a bunch of cameras. This was a person. He did not own a fridge. This was a person. He was very careful about conserving gasoline. This was a person. He could play trumpet. This was a person. He was a glassblower. This was a person. He did not sleep with a pillow. This was a person. He spends a lot of time watching tennis. This was a person. He  kept buying vegetables, even though they always just went bad in  his fridge. This was a person. She was polite to salesmen. She had crazy hair colors. This was a person. She  only ever had sex with one person. She was always in a hurry. This was a person. She  was a virgin. This was a person. He was the richest of  his friends. He was a glassblower. This was a person. She could play banjo. She tutored kids. This was a person. He  volunteered at a middle school, because  he  had a crush on one of the other tutors. He  was a plumber. This was a person. She  was a drunk. This was a person. She  did open mike. This was a person. He chewed nicotine gum. He was going blind. This was a person. He tutored kids. This was a person. She ate a lot of kale. This was a person. She  did open mike. This was a person. He ate a lot of fiber. This was a person. She took a lot of photos. This was a person. He was a good dancer. He played a lot of social card games.  This was a person. He  was a drunk. This was a person. She survived cancer. This was a person. He was an awful driver. This was a person. He was rough and tumble. This was a person. She could juggle. This was a person. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. This was a person. She was a hoarder. This was a person. He loved pot. This was a person. She  was awaiting judgement for a DUI last month. This was a person. He looked like a cartoon. This was a person. He helped strangers. This was a person. She snored. She was polite to telemarketers. This was a person. He always made the mashed potatoes at family get-togethers. This was a person. She smoked pot at music festivals. This was a person. He  called in sick to work 9 times last month and was written up at work. This was a person. He wrote for the newspaper. He ate a lot of fiber. This was a person. She  went to church. This was a person. She was rough and tumble. She picked up litter.  This was a person. She  had a hangover yesterday. This was a person. He had a green thumb. He helped strangers. This was a person. He has two living parents. This was a person. She had tropical fish. She lived on breakfast bars. This was a person. She had an unfortunate nickname. This was a person. She had a twin. This was a person. He had just paid a crapload of money to get    teeth fixed. This was a person. She looked like a cartoon. This was a person. He could juggle. This was a person. She loved oreos. This was a person. He went to the horseraces. This was a person. She  had been having trouble tying  her shoes because  she  pulled a muscle in her abs. This was a person. He  was a translator. This was a person. She  kept buying vegetables, even though they always just went bad in  her fridge. This was a person. He had an awesome home theatre. This was a person. She  had a personal injury lawsuit working its way through the courts. This was a person. She was good to people. This was a person. She was a Mac evangelist. This was a person. He had crazy hair colors. This was a person. She played a lot of social card games.  This was a person. He played World of Warcraft This was a person. He  got a terrible haircut a few days ago and shaved  his  head to escape from it. This was a person. She lived on breakfast bars. This was a person. He never finished the book club book. He had an unfortunate nickname. This was a person. He has two living parents. He  was playing nine games of Words with Friends on  his  phone. This was a person. He  did open mike. This was a person. He loved to fish. This was a person. He  loved to make out. This was a person. He could juggle. This was a person. She could play banjo. This was a person. She looked like a cartoon. This was a person. He loved to fish. This was a person. She was divorced. She could play trumpet. This was a person. He had bonsai trees. He ate a lot of chinese food. This was a person. He grew up on a farm.  This was a person. He was a wedding photographer. This was a person. He was a hoarder. This was a person. She  was sleeping with  her  ex. This was a person. He had braces on  his  teeth. This was a person. She has a suit at the cleaners. This was a person. She was a wedding photographer. This was a person. He  was a drunk. This was a person. He was a cheapskate. This was a person. She ate a lot of kale. This was a person. He has four overdue books.  This was a person. He just had  his car stereo repaired. This was a person. She sang. This was a person. She was a crossword whiz. She knew a lot of cops. This was a person. She was an awful driver. This was a person. He always brought lunch.

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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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