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 was a trivia master. She had a gun.

This was a person. He helped strangers.

This was a person. She loved James Bond movies.

This was a person. She was cockeyed.

This was a person. She went to church.

This was a person. He was polite to telemarketers.

This was a person. She once robbed a bank.

This was a person. She was a street vendor.

This was a person. She kept to herself mostly She loved chocolate.

This was a person. He was a trivia master.

This was a person. He constantly wore sunglasses.

This was a person. She had a gun.

This was a person. She always bought flowers for her desk.

This was a person. He had a baby boy.

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

This was a person. He had a gun. He was a skilled woodcarver.

This was a person. She was learning to speak French. She did open mike.

This was a person. He was gluten intolerant. He loved pot.

This was a person. He never carried cash. He had an awesome home theatre.

This was a person. She was afraid of flying.

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

This was a person. He could juggle.

This was a person. She loved chocolate.

This was a person. He sang at parties. He was good to people.

This was a person. He had a lot of Beatles records. He had a podcast.

This was a person. He knew a lot of cops.

This was a person. She knew a lot of cops. She made pie.

This was a person. He was an awful driver.

This was a person. He had an unfortunate nickname.

This was a person. He was a scout leader.

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

This was a person. He could play cricket. He slept around.

This was a person. He wanted to learn magic. He loved pot.

This was a person. She had long fingernails. She was sporty.

This was a person. He prefered bread without crusts.

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

This was a person. She survived cancer.

This was a person. She chewed nicotine gum.

This was a person. She loved nachos.

This was a person. He was a historian.

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

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

This was a person. She could play cricket. She had long fingernails.

This was a person. She helped strangers. She was convinced he was color blind.

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

This was a person. He was a poet. He has a suit at the cleaners.

This was a person. She had a podcast.

This was a person. He just had his car stereo repaired.

This was a person. He was a crossword whiz.

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

This was a person. He ate the food at convenience stores. He was going blind.

This was a person. She always brought lunch.

This was a person. He went to church.

This was a person. He was an awful driver.

This was a person. She was a mason. She was afraid of heights.

This was a person. She could always get tickets.

This was a person. He lived on breakfast bars. He chewed gum constantly.

This was a person. He was divorced.

This was a person. She got out of jail two years ago and never reunited with her family.

This was a person. He was a dog person. He wanted to learn magic.

This was a person. She was a hoarder.

This was a person. He was homophobic.

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

This was a person. She was divorced.

This was a person. She never raised hervoice. She ate a lot of fish.

This was a person. She constantly wore sunglasses.

This was a person. He scalped tickets He had braces on his teeth.

This was a person. He was the unofficial relationship guru among friends.

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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