The Boyd Massacre Tragedy Casualties Visualization Tool - Cockeyed.com

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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 wore a lot of jewelry.

This was a person. She was a secret Buddahist.

This was a person. He could play trumpet.

This was a person. He just had the bandages removed from his plastic surgery. He was good to people.

This was a person. He wore earphones all the time.

This was a person. She was a historian. She can't watch the end of T2 without crying

This was a person. He was learning to use CAD software.

This was a person. She has four overdue books.

This was a person. He wore earphones all the time.

This was a person. He was polite to telemarketers.

This was a person. She made pie.

This was a person. She was living with her sister.

This was a person. She ate a lot of fish.

This was a person. She was a dog person.

This was a person. She smoked pot at music festivals. She never answered the phone.

This was a person. He was homophobic.

This was a person. He went to church.

This was a person. He was sporty.

This was a person. He has four overdue books.

This was a person. He couldn't grow a mustache.

This was a person. He never carried cash.

This was a person. He abused cars.

This was a person. He was left-handed. He got thrown off of a golf course.

This was a person. She was kind of an awesome lover.

This was a person. She smoked pot at music festivals.

This was a person. He was good to people. He was balding.

This was a person. He called in sick to work 9 times last month and was written up at work. He always bought flowers for his desk.

This was a person. He was working his way through all of the shows on Netflix.

This was a person. He dropped his work laptop last week, destroyed it and couldn't sleep for days.

This was a person. She chewed gum constantly.

This was a person. She talked during movies.

This was a person. She was a good dancer.

This was a person. She had bonsai trees.

This was a person. She had tropical fish.

This was a person. She smoked pot at music festivals.

This was a person. He has two living parents. He had a twin.

This was a person. She was a translator.

This was a person. He had been having trouble tying his shoes because he pulled a muscle in his abs.

This was a person. He scalped tickets

This was a person. She was a plumber.

This was a person. She loved wine. She was a hoarder.

This was a person. He was a mason.

This was a person. He did not sleep with a pillow.

This was a person. She loved wine.

This was a person. She spent a lot of time with old people. She excelled at woodworking.

This was a person. He was a vegetarian.

This was a person. She always had a clean car.

This was a person. She was good to people.

This was a person. He had a lot of shoes.

This was a person. He talked during movies.

This was a person. She was a tailor. She went to church.

This was a person. She couldn't grow a mustache.

This was a person. He knew how to get free satelittle television.

This was a person. He survived cancer.

This was a person. She had been having trouble tying her shoes because she pulled a muscle in her abs. She was kind of an awesome lover.

This was a person. He wore Spandex.

This was a person. He was rebuilding an engine.

This was a person. He talked during movies.

This was a person. He got out of jail two years ago and never reunited with his family. He had VD.

This was a person. She was a historian.

This was a person. She sang at parties.

This was a person. She was a dog person.

This was a person. She was a street vendor.

This was a person. He had just paid a crapload of money to get his teeth fixed.

This was a person. He was kind of addicted to ebay.

This was a person. She was awaiting judgement for a DUI last month.

This was a person. He took careful notes after every meal.

This was a person. He could play harmonica.

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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Photographic Height/Weight Chart

The Weight of Clothing

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