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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 learning to use CAD software. This was a person. She tutored kids. This was a person. He loved oreos. This was a person. He was a scout leader.  This was a person. He was the unofficial relationship guru among   friends. He had an unfortunate nickname. This was a person. She  was a tailor. This was a person. She  could always get tickets. She just had  her car stereo repaired. This was a person. She could fix anything. This was a person. She watched a lot of sports on TV, but never played them  herself. This was a person. He never carried cash. This was a person. He chewed gum constantly. This was a person. He  always bought flowers for  his  desk. This was a person. He had just paid a crapload of money to get    teeth fixed. 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. She could play cricket. This was a person. He was good at job interviews. This was a person. She ate a lot of hot dogs. She did not own a fridge. This was a person. She was a cat person. This was a person. He knew how to get free satelittle television. This was a person. He made pie. This was a person. He ate a lot of hot dogs. This was a person. She  was a teacher. This was a person. He had just paid a crapload of money to get    teeth fixed. This was a person. She just had the bandages removed from  plastic surgery. This was a person. He had a podcast. This was a person. She made scrapbooks. This was a person. She was afraid of the water. This was a person. He loved pot. He was rough and tumble. This was a person. She  collected figurines. This was a person. He threw a lot of parties. This was a person. She  was afraid of flying. This was a person. She could juggle. This was a person. He loved nachos. This was a person. He always brought reusable bags into the store. He just had the bandages removed from  plastic surgery. This was a person. He  was a tailor. This was a person. He played World of Warcraft He was balding. This was a person. She grew up on a farm.  She picked up litter.  This was a person. He was a scout leader.  This was a person. She was a vegetarian. This was a person. She always brought reusable bags into the store. This was a person. He abused cars. He was obsessed with sitcoms. This was a person. She  collected figurines. This was a person. She was a secret Buddahist. This was a person. She could fall asleep anywhere. She helped people. This was a person. He could juggle. He always had a clean car. This was a person. She led the choir. She helped strangers. This was a person. He  had a hangover yesterday. This was a person. He  was a translator. This was a person. He wore bow ties. This was a person. He  volunteered at a middle school, because  he  had a crush on one of the other tutors. He  always bought flowers for  his  desk. This was a person. She abused cars. This was a person. She talked during movies. This was a person. He made scrapbooks. This was a person. He made  his  own beer and was kind of stingy with it. This was a person. He loved fine dining. This was a person. He prefered bread without crusts. This was a person. She  was playing nine games of Words with Friends on  her  phone. She was rebuilding an engine. This was a person. She  was learning to use CAD software. She was afraid of heights. This was a person. She was rebuilding an engine. This was a person. He got out of jail two years ago and never reunited with his family. This was a person. She had a lot of shoes. She fixed bikes. This was a person. She  played soccer every weekend. She had a gun. This was a person. She was an expert barbecuer. She loved museums. This was a person. She was a crossword whiz. She loved James Bond movies. This was a person. She wore a lot of hats.  This was a person. He couldn't grow a mustache. This was a person. He was very careful about conserving gasoline. This was a person. He  had VD. This was a person. He had a baby boy. This was a person. He had bonsai trees. This was a person. She  had VD. This was a person. He  always bought flowers for  his  desk. This was a person. He could play cricket. He slept around. This was a person. He  dropped his work laptop last week, destroyed it and couldn't sleep for days. This was a person. She had a lot of music on vinyl. She was thrifty. This was a person. She  had VD. This was a person. She  finished reading all of the works of Homer. This was a person. She ate a lot of hot dogs. This was a person. He was cockeyed. This was a person. She loved chocolate. This was a person. She overtipped. This was a person. She was sporty. This was a person. She loved cigarettes. This was a person. He had a lot of music on vinyl. This was a person. He  only ever had sex with one person. This was a person. She  played soccer every weekend. This was a person. She was homophobic. She had a bunch of cameras. This was a person. She had a sexy phone voice. She had a sailboat as a teen. This was a person. He brought great food to social gatherings. This was a person. He loved pot. This was a person. He plays fantasy football. This was a person. She  was a virgin. This was a person. She loved Elvis. This was a person. He did not own a fridge. This was a person. She was afraid of the water. This was a person. She made scrapbooks. This was a person. She taught guitar. This was a person. He had a gun. This was a person. He  was learning to use CAD software. This was a person. She was a trivia master.

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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