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 just had the bandages removed from plastic surgery.

This was a person. He talked during movies.

This was a person. He chewed nicotine gum. He couldn't stand having the air-conditioner blow on himself .

This was a person. He helped strangers. He never tried gin.

This was a person. He could play cricket. He loved cigarettes.

This was a person. He wore a lot of jewelry. He had a lot of music on vinyl.

This was a person. She was a tailor.

This was a person. She was a trivia master.

This was a person. She was very good at cleaning.

This was a person. He could fall asleep anywhere.

This was a person. He helped people.

This was a person. He was a hoarder.

This was a person. She had a sexy phone voice.

This was a person. She plays fantasy football.

This was a person. She was a plumber.

This was a person. He played piano.

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

This was a person. He always brought reusable bags into the store. He grew up on a farm.

This was a person. He was a teacher.

This was a person. She knew a lot of cops. She taught guitar.

This was a person. She excelled at woodworking.

This was a person. She was polite to salesmen. She wore Spandex.

This was a person. She prefered bread without crusts. She ate a lot of chinese food.

This was a person. He had a sexy phone voice.

This was a person. She could play banjo.

This was a person. She went to the horseraces.

This was a person. He was training to run a marathon.

This was a person. She could juggle. She was polite to salesmen.

This was a person. He went to the horseraces.

This was a person. She was good at job interviews.

This was a person. He played a lot of social card games.

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

This was a person. She was a virgin.

This was a person. She had a bunch of tattoos. She was a Mac evangelist.

This was a person. He was a trivia master.

This was a person. He ate a lot of hot dogs.

This was a person. She was a dog person.

This was a person. She loved nachos.

This was a person. He had a gun.

This was a person. He was a plumber.

This was a person. He called in sick to work 9 times last month and was written up at work.

This was a person. She wore Spandex. She played chess.

This was a person. She wore a lot of jewelry.

This was a person. She could play trumpet.

This was a person. She has two living parents. She had VD.

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

This was a person. She knew a lot of cops. She had a lot of music on vinyl.

This was a person. He brought great food to social gatherings. He ate a lot of raisins.

This was a person. He was afraid of heights.

This was a person. He could juggle.

This was a person. She collected figurines.

This was a person. She was a trivia master. She knew a lot of cops.

This was a person. She loved oreos.

This was a person. She had a sexy phone voice. She never answered the phone.

This was a person. She had an unfortunate nickname.

This was a person. She did open mike. She talked during movies.

This was a person. He never raised hisvoice.

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

This was a person. He kept to himself mostly

This was a person. She was sporty.

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

This was a person. She loved to make out.

This was a person. She was very careful about conserving gasoline. She was a cheapskate.

This was a person. He was a trivia master.

This was a person. She was sporty. She went to the horseraces.

This was a person. She played World of Warcraft

This was a person. He spends a lot of time watching tennis.

This was a person. She looked like a cartoon.

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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The Weight of Clothing

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