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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 had a bunch of tattoos. This was a person. He lived on breakfast bars. He could juggle. This was a person. She was 4 days sober. This was a person. She made  her  own beer and was kind of stingy with it. This was a person. She never finished the book club book. This was a person. She did not own a fridge. This was a person. She threw a lot of parties. This was a person. He wrote for the newspaper. This was a person. He  always bought flowers for  his  desk. This was a person. She wanted to learn magic. This was a person. She ate a lot of kale. She loved chocolate. This was a person. He was a dog person. This was a person. She had long fingernails. This was a person. He just had the bandages removed from  plastic surgery. This was a person. He got out of jail two years ago and never reunited with his family. He  kept buying vegetables, even though they always just went bad in  his fridge. This was a person. She was polite to salesmen. This was a person. He was a skilled woodcarver. He ate a lot of fish. This was a person. He  dropped his work laptop last week, destroyed it and couldn't sleep for days. This was a person. She  was training to run a marathon. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. This was a person. He had tropical fish. This was a person. She was very good at cleaning. This was a person. He  was a poet. This was a person. He sang at parties. This was a person. He abused cars. He was a loner. This was a person. He  had VD. This was a person. He lived on breakfast bars. This was a person. She was a Mac evangelist. This was a person. He ate the food at convenience stores. This was a person. He loved nachos. This was a person. She made  her  own beer and was kind of stingy with it. This was a person. He was the richest of  his friends. He threw a lot of parties. This was a person. He was polite to salesmen. This was a person. He loved to fish. This was a person. She helped people. This was a person. She just had  her car stereo repaired. She was a skilled woodcarver. This was a person. He was a trivia master. This was a person. He threw a lot of parties. This was a person. She was always in a hurry. This was a person. She got out of jail two years ago and never reunited with her family. This was a person. He never carried cash. This was a person. She  played soccer every weekend. She was afraid of heights. This was a person. He was polite to salesmen. This was a person. He always had gum. He spends a lot of time watching tennis. This was a person. She was polite to salesmen. This was a person. She excelled at woodworking. She wore a lot of black clothing. This was a person. She ate a lot of kale. She always brought reusable bags into the store. This was a person. He wore a lot of jewelry. This was a person. She was afraid of heights. This was a person. She had a podcast. This was a person. She always brought reusable bags into the store. This was a person. He was a secret Buddahist. This was a person. She had an awesome home theatre. This was a person. He abused cars. This was a person. She  was a translator. This was a person. She was very good at cleaning. This was a person. He took a lot of photos. This was a person. She knew how to get free satelittle television. This was a person. He helped people. He had bonsai trees. This was a person. He  always bought flowers for  his  desk. This was a person. She was always in a hurry. This was a person. She looked like a cartoon. This was a person. She had extensions. This was a person. He  could always get tickets. He has a suit at the cleaners. This was a person. She smoked pot at music festivals. This was a person. She got thrown off of a golf course. This was a person. She was working  her  way through all of the shows on Netflix. This was a person. He could play trumpet. He wore Spandex. This was a person. He wanted to learn magic. This was a person. He  was a drunk. He wore earphones all the time. This was a person. He was a Mac evangelist. This was a person. He  was a mason. He was working  his  way through all of the shows on Netflix. This was a person. She was homophobic. This was a person. She wore a lot of hats.  This was a person. He was a good dancer. He ate the food at convenience stores. This was a person. He  was a virgin. This was a person. She  was a virgin. This was a person. He was living with his sister. This was a person. She  was a plumber. She was a trivia master. This was a person. He could fix anything. This was a person. She was left-handed. She had a green thumb. This was a person. She chewed nicotine gum. She was a loner. This was a person. She was a trivia master. This was a person. He was a skilled woodcarver. This was a person. She went to the horseraces. She was a scout leader.  This was a person. She was good at job interviews. She was polite to salesmen. This was a person. He made  his  own beer and was kind of stingy with it. This was a person. She got thrown off of a golf course. This was a person. He  went to church. This was a person. He  was afraid of flying. This was a person. He was a secret Buddahist. This was a person. He had a baby boy. This was a person. He  was a DJ. This was a person. He  only ever had sex with one person. This was a person. She sang. She was a good dancer. This was a person. She prefered bread without crusts. This was a person. She took a lot of photos. She snored. This was a person. She was sporty. This was a person. She watched a lot of sports on TV, but never played them  herself. She helped people. This was a person. She could play banjo. This was a person. He had a baby boy.

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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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