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Disaster Casualties Visualization Tool: The Boyd Massacre: 1809

68 Dead Men and Women

The Boyd Massacre Maori residents of northern New Zealand killed and ate between 66 and 70 people as revenge for the whipping of a young Maori chief in 1809.

This was a person. She once robbed a bank. This was a person. She ate a lot of fish. She loved chocolate. This was a person. He was a dog person. This was a person. She was a good dancer. This was a person. She was sporty. This was a person. She plays fantasy football. This was a person. He constantly wore sunglasses. This was a person. He loved pot. He never finished the book club book. This was a person. He  was learning to use CAD software. This was a person. She wore Spandex. This was a person. She didn't have a family. This was a person. She  was sleeping with  her  ex. This was a person. He wrote for the newspaper. He was good at job interviews. This was a person. She was a Mac evangelist. This was a person. She  was a historian. This was a person. She  scalped tickets This was a person. She played piano. She ate a lot of fish. This was a person. She was cockeyed. This was a person. She loved pot. This was a person. She ate a lot of raisins. This was a person. He always made the mashed potatoes at family get-togethers. This was a person. She  had a hangover yesterday. This was a person. He wore bow ties. He fixed bikes. This was a person. She made scrapbooks. This was a person. She  could always get tickets. This was a person. She always had gum. This was a person. She  was a plumber. This was a person. She talked during movies. She never raised  hervoice. This was a person. She always made the mashed potatoes at family get-togethers. This was a person. He  was a plumber. This was a person. She once robbed a bank. This was a person. She ate a lot of raisins. This was a person. He just had  his car stereo repaired. This was a person. He  dropped his work laptop last week, destroyed it and couldn't sleep for days. This was a person. He always wore a hat. This was a person. She loved wine. This was a person. He  volunteered at a middle school, because  he  had a crush on one of the other tutors. He  was a street vendor. This was a person. She  was training to run a marathon. This was a person. He  volunteered at a middle school, because  he  had a crush on one of the other tutors. This was a person. He loved to fish. This was a person. She  scalped tickets She loved James Bond movies. This was a person. He  was learning to speak French. He  was a mason. This was a person. She was very good at cleaning. This was a person. He played a lot of social card games.  This was a person. He  always bought flowers for  his  desk. This was a person. He had a bunch of cameras. This was a person. She was homophobic. This was a person. He  was awaiting judgement for a DUI last month. This was a person. She watched a lot of sports on TV, but never played them  herself. She was a glassblower. This was a person. He  was a plumber. This was a person. She  called in sick to work 9 times last month and was written up at work. This was a person. She ate a lot of raisins. This was a person. He wanted to learn magic. This was a person. She ate a lot of kale. She tutored kids. This was a person. She  was a tailor. She made  her  own beer and was kind of stingy with it. This was a person. He  was sort of selfish in bed. He was working  his  way through all of the shows on Netflix. This was a person. She was a crossword whiz. She loved James Bond movies. This was a person. He  had a hangover yesterday. This was a person. She was a crossword whiz. She had a bunch of tattoos. This was a person. She was thrifty. This was a person. She  could always get tickets. She made  her  own beer and was kind of stingy with it. This was a person. He never raised  hisvoice. He was a cat person. This was a person. She had a sexy phone voice. This was a person. He overtipped. He abused cars. This was a person. She was good at job interviews. This was a person. He was a cat person. This was a person. He made  his  own beer and was kind of stingy with it. This was a person. She  was a pharmacist.

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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