The Boyd Massacre Tragedy Casualties Visualization Tool - Cockeyed.com

Cockeyed.com

How much is Inside?
Pranks!
Community & Citizenship
Height Weight Chart
Science Club
Incredible Stuff
How To Guides
Travel

About
Contact

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 could juggle.

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

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

This was a person. She loved to fish.

This was a person. She was kind of addicted to ebay. She did not sleep with a pillow.

This was a person. She loved James Bond movies. She constantly wore sunglasses.

This was a person. He was thrifty.

This was a person. He was lactose intolerant.

This was a person. He was a virgin.

This was a person. He made his own beer and was kind of stingy with it.

This was a person. She has a suit at the cleaners.

This was a person. He could play banjo.

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

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

This was a person. She was a pharmacist.

This was a person. He helped strangers.

This was a person. She helped people.

This was a person. She once robbed a bank.

This was a person. He made scrapbooks.

This was a person. She had long fingernails.

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

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

This was a person. He loved cigarettes. He was left-handed.

This was a person. He never ate breakfast.

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

This was a person. She picked up litter.

This was a person. She chewed gum constantly. She loved chocolate.

This was a person. She always wore a hat. She wore Spandex.

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

This was a person. She helped people.

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

This was a person. He was very careful about conserving gasoline. He played a lot of social card games.

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

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

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

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

This was a person. He snored.

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

This was a person. He slept around. He sang at parties.

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

This was a person. She has two living parents.

This was a person. He constantly wore sunglasses.

This was a person. He was a hoarder.

This was a person. She was a historian.

This was a person. He was very careful about conserving gasoline.

This was a person. He got a terrible haircut a few days ago and shaved his head to escape from it.

This was a person. She was divorced.

This was a person. He was always in a hurry. He played piano.

This was a person. He loved oreos. He could play trumpet.

This was a person. She had an unfortunate nickname.

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

This was a person. She could fix anything. She was a skilled woodcarver.

This was a person. He sang.

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

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

This was a person. He had a hangover yesterday.

This was a person. He volunteered at a middle school, because he had a crush on one of the other tutors.

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

This was a person. He was kind of an awesome lover. He was a drunk.

This was a person. He went to church.

This was a person. He plays fantasy football. He had a sexy phone voice.

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

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

This was a person. She loved Elvis.

This was a person. She ate a lot of kale. She loved pot.

This was a person. He had an unfortunate nickname. He played a lot of social card games.

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

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

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.

The Oatmeal Markup | Antiques Roadshow - The Ultimate "Neat Stuff" Show | Iphone vs. Kia | Let us Dilute that For You | Razor and Blades Business Model | Short-Circuiting the Facebook Tease Video Link | Other Websites Besides Healthcare.org which are Broken | Visualizing the Price of a Television | Personal account of working for commision at Banker's Life Insurance | The Three Problems with Child Car Seats | How Much Time is Really Left in the Basketball Game? | Who Uses Their Turn Signal? | Other Web Problems not related to Healthcare.org | The Cross-Section of a Couch | Comparing the Price of Used Car to the Price of a New Car | Rental Car Keys are Horrible | The Actual Amount of Time it Takes | Incorrect Shelf Prices at Walmart | Two Prices for Auto Body Repair | Roadside Sobriety Test | Cash in your Pennies | Get it Together Walmart | Price Increases at Fast Food Restaurants | Yard Sale is Shoe Store Scam | Disaster Casualties Visualization Tool | Walmart vs Target: 2013 | The 146 Drugs in Walmart's $4 Prescription Drug Plan | Email Concealer Codes | accumulating credit card debt | Selling a Structured Settlement | The Torn-up Credit Card Application ! Kirby Vacuum Cleaners

Photographic Height/Weight Chart

The Weight of Clothing

Cockeyed home page | Contact | Terms and Conditions | Updated February 27, 2013 Copyright 2013 Cockeyed.com