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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  collected figurines. He  was a tailor. This was a person. She was a crossword whiz. This was a person. He had extensions. This was a person. He had a lot of Beatles records. This was a person. She prefered bread without crusts. This was a person. He took a lot of photos. This was a person. He  was a virgin. This was a person. She had a bunch of tattoos. This was a person. She didn't have a family. This was a person. He was a cat person. This was a person. He  was playing nine games of Words with Friends on  his  phone. He was an awful driver. This was a person. He spends a lot of time watching tennis. This was a person. He was a hoarder. This was a person. He  was sleeping with  his  ex. This was a person. She  was sleeping with  her  ex. She  had a personal injury lawsuit working its way through the courts. This was a person. He  was afraid of flying. This was a person. He made  his  own beer and was kind of stingy with it. This was a person. He was thrifty. This was a person. She loved pot. This was a person. She always made the mashed potatoes at family get-togethers. She  called in sick to work 9 times last month and was written up at work. This was a person. He survived cancer. This was a person. She always brought reusable bags into the store. This was a person. He did not sleep with a pillow. This was a person. She could play harmonica. She was very good at cleaning. This was a person. She loved chocolate. This was a person. He didn't get along with animals. This was a person. She could juggle. This was a person. She had just paid a crapload of money to get   her teeth fixed. She played guitar on the streets for money. This was a person. He was a good dancer. This was a person. She  went to church. She was afraid of the water. This was a person. She had braces on  her  teeth. She had tropical fish. This was a person. He had braces on  his  teeth. This was a person. He was good at job interviews. This was a person. He never drank coffee. This was a person. She was a cheapskate. She picked up litter.  This was a person. He ate a lot of fish. This was a person. He had a bunch of tattoos. This was a person. He was a secret Buddahist. He was divorced. This was a person. She had a green thumb. This was a person. He spends a lot of time watching tennis. He made scrapbooks. This was a person. She  played soccer every weekend. She could fix anything. This was a person. He helped strangers. This was a person. She was a good dancer. This was a person. She was a hoarder. She grew up on a farm.  This was a person. She loved Elvis. She had a podcast. This was a person. She was a Mac evangelist. This was a person. He smoked pot at music festivals. This was a person. She was a Mac evangelist. She was a skilled woodcarver. This was a person. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. This was a person. He spent a lot of time with old people. He never tried gin. This was a person. He was a cat person. This was a person. He was a cheapskate. This was a person. She ate a lot of chinese food. This was a person. She had a lot of music on vinyl. She was thrifty. This was a person. He was homophobic. This was a person. He was divorced. This was a person. She was homophobic. This was a person. She was cockeyed. This was a person. She was cockeyed. She played World of Warcraft This was a person. He snored. This was a person. She led the choir. 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  only ever had sex with one person. This was a person. He was thrifty. This was a person. He got thrown off of a golf course. He was going blind. This was a person. She was a dog person. This was a person. She loved chocolate. This was a person. He was divorced. He was a wedding photographer.

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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