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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 knew a lot of cops. This was a person. He slept around. This was a person. He loved wine. This was a person. She  was a DJ. This was a person. She did not sleep with a pillow. She always brought lunch. This was a person. He  was a pharmacist. He  did open mike. This was a person. He didn't have a family. This was a person. She snored. This was a person. He wanted to learn magic. He could juggle. This was a person. She had a gun. This was a person. He was the unofficial relationship guru among   friends. This was a person. He played a lot of social card games.  This was a person. He played chess. He smoked pot at music festivals. This was a person. He could play trumpet. This was a person. He was 4 days sober. He  was learning to speak French. This was a person. He  was a mason. This was a person. He was a vegetarian. This was a person. He  was a mason. This was a person. He just had  his car stereo repaired. He was a secret Buddahist. This was a person. He was a vegetarian. He was a wedding photographer. This was a person. He just had the bandages removed from  plastic surgery. This was a person. She prefered bread without crusts. This was a person. She spent a lot of time with old people. This was a person. He  was a DJ. This was a person. He  played soccer every weekend. This was a person. He never ate breakfast. This was a person. He had a twin. He  was a poet. This was a person. He never finished the book club book. This was a person. He lived on breakfast bars. This was a person. He always made the mashed potatoes at family get-togethers. This was a person. She has four overdue books.  This was a person. She  was a translator. This was a person. He was the unofficial relationship guru among   friends. He went to the horseraces. This was a person. He was a wedding photographer. He did not own a fridge. This was a person. She lived on breakfast bars. She ate a lot of chinese food. This was a person. He was very careful about conserving gasoline. He slept around. This was a person. She had a lot of music on vinyl. This was a person. He can't watch the end of T2 without crying This was a person. She spent a lot of time with old people. This was a person. She had a lot of shoes. She played guitar on the streets for money. This was a person. He  was a mason. He had a bunch of tattoos. This was a person. She wanted to learn magic. This was a person. She had a bunch of tattoos. This was a person. He had extensions. This was a person. She did not sleep with a pillow. This was a person. He was rough and tumble. This was a person. He was a crossword whiz. This was a person. She got out of jail two years ago and never reunited with her family. This was a person. She loved James Bond movies. She had a lot of Beatles records. This was a person. She was a good dancer. This was a person. He was a glassblower. This was a person. He was working  his  way through all of the shows on Netflix. This was a person. He never finished the book club book. This was a person. She did not sleep with a pillow. This was a person. She had a lot of music on vinyl. This was a person. He just had the bandages removed from  plastic surgery. This was a person. He wore bow ties. This was a person. She was a vegetarian. This was a person. He was 4 days sober. This was a person. He loved oreos. This was a person. She loved to fish. This was a person. She excelled at woodworking. She had a sailboat as a teen. This was a person. He made  his  own beer and was kind of stingy with it. This was a person. She survived cancer. This was a person. She was afraid of heights. She made pie. This was a person. He  was kind of an awesome lover. This was a person. She had tropical fish. This was a person. He was thrifty. This was a person. She had a podcast. This was a person. He got thrown off of a golf course. This was a person. He  was afraid of flying. This was a person. She had a green thumb. This was a person. He never finished the book club book. This was a person. He had a podcast. This was a person. She prefered bread without crusts. This was a person. He has four overdue books.  He couldn't stand having the air-conditioner blow on   himself . This was a person. She could fix anything. This was a person. She wore earphones all the time. This was a person. He wrote for the newspaper. He was lactose intolerant. This was a person. He  was training to run a marathon. This was a person. She  was a historian. This was a person. She  had VD. She  scalped tickets This was a person. She was the unofficial relationship guru among   friends. This was a person. She  loved to make out. This was a person. He wore Spandex. This was a person. She was gluten intolerant. This was a person. She  loved to make out. She  was a historian. This was a person. She  was afraid of flying. This was a person. She had a baby boy. She  was a translator. This was a person. She never finished the book club book. This was a person. He had a bunch of cameras. This was a person. He was very careful about conserving gasoline. He tutored kids. This was a person. She played piano. This was a person. He talked during movies. He was a skilled woodcarver. This was a person. She was homophobic. She was allergic to peanuts. This was a person. She kept to herself mostly This was a person. He wore a lot of hats.  This was a person. She loved to fish. She was a secret Buddahist. This was a person. She just had  her car stereo repaired. This was a person. He had a sexy phone voice.

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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