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 sang at parties.

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

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

This was a person. He had extensions.

This was a person. She was left-handed.

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

This was a person. He loved to fish. He lived on breakfast bars.

This was a person. He was training to run a marathon. He only ever had sex with one person.

This was a person. She was rebuilding an engine.

This was a person. She grew up on a farm.

This was a person. He was a pharmacist.

This was a person. She was a mason.

This was a person. He was playing nine games of Words with Friends on his phone. He just had his car stereo repaired.

This was a person. He picked up litter.

This was a person. He loved James Bond movies.

This was a person. He ate a lot of raisins. He always wore a hat.

This was a person. She constantly wore sunglasses.

This was a person. He has two living parents. He was afraid of flying.

This was a person. She loved fine dining.

This was a person. She had long fingernails. She was a good dancer.

This was a person. She could play trumpet.

This was a person. She did open mike.

This was a person. She kept to herself mostly She did not own a fridge.

This was a person. She never finished the book club book. She had an unfortunate nickname.

This was a person. She talked during movies.

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

This was a person. She was polite to salesmen.

This was a person. She was working her way through all of the shows on Netflix.

This was a person. She was a drunk.

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

This was a person. She was a teacher. She just had her car stereo repaired.

This was a person. She did open mike.

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

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 ate a lot of fiber.

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

This was a person. He could play banjo.

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

This was a person. He abused cars.

This was a person. She helped strangers.

This was a person. She wore bow ties.

This was a person. She was a Mac evangelist.

This was a person. She looked like a cartoon.

This was a person. He called in sick to work 9 times last month and was written up at work. He was playing nine games of Words with Friends on his phone.

This was a person. He made scrapbooks.

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

This was a person. He made pie.

This was a person. He survived cancer.

This was a person. She was a translator.

This was a person. She was a drunk.

This was a person. She had braces on her teeth. She taught guitar.

This was a person. She could play cricket.

This was a person. She was kind of addicted to ebay.

This was a person. She was a cat person.

This was a person. She was a scout leader.

This was a person. He ate a lot of fish. He was allergic to peanuts.

This was a person. She was a good dancer. She went to the horseraces.

This was a person. She was sleeping with her ex.

This was a person. He prefered bread without crusts.

This was a person. He sang.

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

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

This was a person. She was afraid of heights.

This was a person. She threw a lot of parties.

This was a person. She played chess. She never answered the phone.

This was a person. She picked up litter. She had lice.

This was a person. He had VD. He was always in a hurry.

This was a person. He taught guitar.

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