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 had a lot of Beatles records.

This was a person. She wore Spandex.

This was a person. He taught guitar.

This was a person. He never drank coffee.

This was a person. She was rough and tumble. She abused cars.

This was a person. He had a twin.

This was a person. He loved chocolate.

This was a person. She ate a lot of kale. She never finished the book club book.

This was a person. She loved oreos.

This was a person. She kept buying vegetables, even though they always just went bad in her fridge.

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

This was a person. She was always in a hurry. She had a lot of Beatles records.

This was a person. She taught guitar.

This was a person. He was lactose intolerant. He ate a lot of chinese food.

This was a person. She was a poet.

This was a person. She just had the bandages removed from her plastic surgery.

This was a person. She had a bunch of cameras.

This was a person. She was a wedding photographer.

This was a person. He took a lot of photos. He wanted to learn magic.

This was a person. She survived cancer. She loved fine dining.

This was a person. She was a good dancer.

This was a person. He could play cricket. He was very careful about conserving gasoline.

This was a person. She always brought reusable bags into the store.

This was a person. He was a hoarder.

This was a person. He lived on breakfast bars.

This was a person. She brought great food to social gatherings.

This was a person. He has four overdue books.

This was a person. He chewed gum constantly.

This was a person. She never raised hervoice. She threw a lot of parties.

This was a person. She scalped tickets

This was a person. She had a green thumb.

This was a person. She wore bow ties.

This was a person. She was a scout leader. She was an expert barbecuer.

This was a person. He was a scout leader.

This was a person. She had an unfortunate nickname. She was cockeyed.

This was a person. She could play harmonica.

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 plays fantasy football. She was obsessed with sitcoms.

This was a person. He loved to make out.

This was a person. He helped strangers.

This was a person. He was thrifty. He never drank coffee.

This was a person. She was cockeyed.

This was a person. She was homophobic.

This was a person. She was a virgin.

This was a person. He was a DJ.

This was a person. She made scrapbooks.

This was a person. He kept buying vegetables, even though they always just went bad in his fridge.

This was a person. She ate a lot of fish. She kept to herself mostly

This was a person. She got thrown off of a golf course.

This was a person. She was polite to salesmen.

This was a person. He brought great food to social gatherings. He chewed gum constantly.

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

This was a person. He had bonsai trees.

This was a person. He was a hoarder.

This was a person. He abused cars.

This was a person. He did open mike.

This was a person. She was sporty.

This was a person. She could fix anything. She took a lot of photos.

This was a person. She watched a lot of sports on TV, but never played them herself.

This was a person. She could fix anything.

This was a person. She was lactose intolerant.

This was a person. He had extensions.

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

This was a person. He just had the bandages removed from his plastic surgery. He led the choir.

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

This was a person. She took a lot of photos.

This was a person. He slept around.

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

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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