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. He constantly wore sunglasses.

This was a person. He went to church.

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

This was a person. She plays fantasy football.

This was a person. He never drank coffee. He loved pot.

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

This was a person. She didn't have a family.

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

This was a person. She was a cat person.

This was a person. He was a scout leader.

This was a person. She was learning to speak French. She was a street vendor.

This was a person. She ate a lot of chinese food.

This was a person. He could juggle.

This was a person. She has four overdue books.

This was a person. She had bonsai trees.

This was a person. He was rough and tumble. He chewed nicotine gum.

This was a person. She was a cheapskate.

This was a person. He prefered bread without crusts.

This was a person. He was a virgin. He had a personal injury lawsuit working its way through the courts.

This was a person. She once robbed a bank.

This was a person. He once robbed a bank.

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

This was a person. She was polite to salesmen.

This was a person. She abused cars. She was good to people.

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

This was a person. He helped people. He was a glassblower.

This was a person. He slept around. He picked up litter.

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

This was a person. She could always get tickets.

This was a person. She didn't get along with animals.

This was a person. He grew up on a farm. He played chess.

This was a person. He was sort of selfish in bed.

This was a person. He had a green thumb.

This was a person. He did not own a fridge.

This was a person. He was very good at cleaning. He sang at parties.

This was a person. He has four overdue books.

This was a person. She was afraid of the water.

This was a person. She led the choir.

This was a person. He overtipped. He had a green thumb.

This was a person. He picked up litter. He smoked pot at music festivals.

This was a person. He was a secret Buddahist.

This was a person. She was cockeyed.

This was a person. He only ever had sex with one person.

This was a person. He always had gum.

This was a person. She had a twin.

This was a person. She had a baby boy.

This was a person. He was a wedding photographer. He was gluten intolerant.

This was a person. She was learning to speak French.

This was a person. She was polite to telemarketers.

This was a person. She loved cigarettes.

This was a person. He helped strangers.

This was a person. She kept to herself mostly

This was a person. He was a hoarder. He tutored kids.

This was a person. She ate a lot of kale. She did not own a fridge.

This was a person. He had a personal injury lawsuit working its way through the courts. He was an awful driver.

This was a person. She never raised hervoice. She had a bunch of cameras.

This was a person. He was a wedding photographer.

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

This was a person. He had bonsai trees. He loved wine.

This was a person. She was allergic to peanuts.

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

This was a person. He talked during movies. He constantly wore sunglasses.

This was a person. She was a wedding photographer.

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

This was a person. He wore a lot of hats.

This was a person. He always bought flowers for his desk. He loved James Bond movies.

This was a person. She had a gun. She did not sleep with a pillow.

This was a person. He was thrifty.

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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