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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 sang at parties. This was a person. He wore Spandex. This was a person. She ate a lot of kale. This was a person. She was afraid of the water. She talked during movies. This was a person. He always brought reusable bags into the store. This was a person. She was polite to telemarketers. This was a person. He didn't get along with animals. He knew how to get free satelittle television. This was a person. She was a vegetarian. This was a person. He could fix anything. This was a person. She tutored kids. This was a person. She  was a mason. This was a person. He  was a drunk. This was a person. She taught guitar. This was a person. She  always bought flowers for  her  desk. This was a person. She was a scout leader.  She was going blind. This was a person. She has two living parents. This was a person. He was good to people. This was a person. She was an awful driver. This was a person. She  went to church. She loved to fish. This was a person. He smoked pot at music festivals. This was a person. He ate a lot of fish. This was a person. She ate a lot of kale. This was a person. He ate a lot of chinese food. This was a person. He was thrifty. This was a person. She ate a lot of kale. This was a person. She ate a lot of fiber. This was a person. He was an expert barbecuer. This was a person. She could fall asleep anywhere. She was a dog person. This was a person. She sang at parties. This was a person. He had a bunch of tattoos. This was a person. He  finished reading all of the works of Homer. This was a person. He  was a tailor. He wore earphones all the time. This was a person. He always wore a hat. This was a person. She  was playing nine games of Words with Friends on  her  phone. She  was a drunk. This was a person. He was the richest of  his friends. He lived on breakfast bars. This was a person. He was sporty. This was a person. He loved cigarettes. This was a person. He  was learning to speak French. This was a person. He could fix anything. This was a person. He ate a lot of hot dogs. This was a person. She could play trumpet. This was a person. He made  his  own beer and was kind of stingy with it. This was a person. He  loved to make out. This was a person. She had an unfortunate nickname. She plays fantasy football. This was a person. He loved chocolate. He just had the bandages removed from  plastic surgery. This was a person. She never raised  hervoice. This was a person. She played a lot of social card games.  This was a person. He  was a mason. He  did open mike. This was a person. She spends a lot of time watching tennis. She played guitar on the streets for money. This was a person. She was a secret Buddahist. She always brought lunch. This was a person. He was a good dancer. This was a person. He was a skilled woodcarver. This was a person. He always brought lunch. This was a person. She lived on breakfast bars. She was allergic to peanuts. This was a person. She spends a lot of time watching tennis. She chewed nicotine gum. This was a person. He wore bow ties. He loved museums. This was a person. She was cockeyed. This was a person. He had a gun. This was a person. He talked during movies. This was a person. She watched a lot of sports on TV, but never played them  herself. This was a person. She never drank coffee. She prefered bread without crusts. This was a person. She just had the bandages removed from  plastic surgery. She led the choir. This was a person. He was good at job interviews. This was a person. He  was awaiting judgement for a DUI last month. This was a person. He had a baby boy. This was a person. She  got a terrible haircut a few days ago and shaved  her  head to escape from it. This was a person. He  did open mike. This was a person. He knew how to get free satelittle television. He helped strangers.

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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