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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  was a translator. This was a person. She played chess. This was a person. She ate the food at convenience stores. This was a person. He knew how to get free satelittle television. He had a lot of shoes. This was a person. She wore a lot of hats.  She spends a lot of time watching tennis. This was a person. He ate a lot of hot dogs. This was a person. She was a vegetarian. She had a bunch of cameras. This was a person. He  scalped tickets This was a person. She went to the horseraces. This was a person. He had a lot of music on vinyl. He wrote for the newspaper. This was a person. She ate a lot of fiber. She was a hoarder. This was a person. He slept around. This was a person. She had a podcast. She was gluten intolerant. This was a person. He was a cheapskate. He was an expert barbecuer. This was a person. He  was afraid of flying. This was a person. She  was a mason. This was a person. She loved to fish. She lived on breakfast bars. This was a person. She played chess. This was a person. He constantly wore sunglasses. He had bonsai trees. This was a person. She  had a personal injury lawsuit working its way through the courts. She  was a teacher. This was a person. He had a podcast. This was a person. He could play banjo. He looked like a cartoon. This was a person. She picked up litter.  This was a person. He was 4 days sober. He  dropped his work laptop last week, destroyed it and couldn't sleep for days. This was a person. She had crazy hair colors. She sang at parties. This was a person. He  called in sick to work 9 times last month and was written up at work. He  was sleeping with  his  ex. This was a person. He spent a lot of time with old people. This was a person. She ate a lot of chinese food. This was a person. She took careful notes after every meal. She constantly wore sunglasses. This was a person. She was kind of addicted to ebay. This was a person. He was good to people. This was a person. She was a wedding photographer. This was a person. She had a green thumb. This was a person. He wore a lot of hats.  He helped strangers. This was a person. He  scalped tickets This was a person. She  volunteered at a middle school, because  she  had a crush on one of the other tutors. She  was a mason. This was a person. He didn't have a family. This was a person. She had tropical fish. This was a person. He didn't get along with animals. This was a person. She  had a hangover yesterday. This was a person. He loved cigarettes. This was a person. He slept around. This was a person. She was working  her  way through all of the shows on Netflix. This was a person. He had a sexy phone voice. This was a person. She occasionally shop lifted. This was a person. He did not own a fridge. This was a person. He could juggle. This was a person. He was very good at cleaning. This was a person. She never finished the book club book. This was a person. She brought great food to social gatherings. This was a person. She had a bunch of cameras. This was a person. He  dropped his work laptop last week, destroyed it and couldn't sleep for days. This was a person. He was polite to salesmen. This was a person. He taught guitar. This was a person. She was a trivia master. This was a person. She chewed gum constantly. This was a person. He was rebuilding an engine. He had an awesome home theatre. This was a person. She had a twin. This was a person. He had a lot of Beatles records. This was a person. He never drank coffee. He ate a lot of raisins. This was a person. She was thrifty. She was lactose intolerant. This was a person. He was a crossword whiz. This was a person. He  was a DJ. This was a person. She wore Spandex. This was a person. She did not sleep with a pillow. This was a person. She was good to people. This was a person. He was very good at cleaning. He just had the bandages removed from  plastic surgery. This was a person. She was rough and tumble.

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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