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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. He always wore a hat. This was a person. She was the richest of  her friends. She had bonsai trees. This was a person. She didn't have a family. This was a person. He never carried cash. He played piano. This was a person. He took careful notes after every meal. This was a person. He was a cat person. This was a person. She had a bunch of tattoos. This was a person. She  was learning to use CAD software. She was an awful driver. This was a person. He didn't get along with animals. This was a person. He  was playing nine games of Words with Friends on  his  phone. This was a person. She  had a personal injury lawsuit working its way through the courts. This was a person. He loved cigarettes. This was a person. He ate a lot of kale. This was a person. He wrote for the newspaper. This was a person. He can't watch the end of T2 without crying He never raised  hisvoice. This was a person. He loved James Bond movies. This was a person. She always brought reusable bags into the store. This was a person. He grew up on a farm.  This was a person. He had tropical fish. He never ate breakfast. This was a person. She  had VD. This was a person. He loved to fish. He had a podcast. This was a person. He can't watch the end of T2 without crying He was kind of addicted to ebay. This was a person. She could play cricket. This was a person. He knew a lot of cops. This was a person. He tutored kids. He has four overdue books.  This was a person. He  was kind of an awesome lover. This was a person. She helped people. This was a person. He  was a pharmacist. This was a person. She survived cancer. This was a person. He ate a lot of chinese food. This was a person. He was rough and tumble. This was a person. She played World of Warcraft This was a person. She ate a lot of raisins. She loved pot. This was a person. She was very good at cleaning. This was a person. She ate a lot of kale. She never finished the book club book. This was a person. She was rough and tumble. This was a person. She grew up on a farm.  This was a person. She once robbed a bank. This was a person. He was divorced. This was a person. She wore earphones all the time. This was a person. He excelled at woodworking. This was a person. She was working  her  way through all of the shows on Netflix. This was a person. She just had  her car stereo repaired. This was a person. He  finished reading all of the works of Homer. This was a person. She  got a terrible haircut a few days ago and shaved  her  head to escape from it. She  was a teacher. This was a person. She loved nachos. This was a person. He led the choir. This was a person. He went to the horseraces. This was a person. She has four overdue books.  This was a person. She  had a hangover yesterday. This was a person. He played a lot of social card games.  He had a lot of shoes. This was a person. She  was a translator. This was a person. She had a podcast. This was a person. She had a sexy phone voice. This was a person. He played World of Warcraft This was a person. He  was sleeping with  his  ex. This was a person. He  was a DJ. This was a person. She always had a clean car. She was left-handed. This was a person. She  went to church. This was a person. He didn't have a family. He  was learning to use CAD software. This was a person. She was polite to salesmen. She was sporty. This was a person. She loved Elvis. 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. He had an unfortunate nickname. He ate the food at convenience stores. This was a person. He always brought lunch. This was a person. She plays fantasy football. This was a person. He could play trumpet. This was a person. He watched a lot of sports on TV, but never played them  himself.

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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