Sharpeville 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: Sharpeville Massacre: 1960

69 Dead Men and Women

The Sharpeville massacre at the police station in the South African township of Sharpeville. After a day of demonstrations the South African police opened fire on the crowd of black protesters killing 69 people.

This was a person. She was cockeyed.

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

This was a person. She was awaiting judgement for a DUI last month. She played soccer every weekend.

This was a person. She was a hoarder.

This was a person. He could always get tickets.

This was a person. He looked like a cartoon.

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

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

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

This was a person. He ate the food at convenience stores. He was good to people.

This was a person. He was polite to salesmen. He never finished the book club book.

This was a person. He was divorced.

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

This was a person. He ate the food at convenience stores. He had a sexy phone voice.

This was a person. She once robbed a bank. She didn't give a damn about food.

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

This was a person. She helped strangers.

This was a person. He tutored kids.

This was a person. He was a poet.

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

This was a person. He sang.

This was a person. She was gluten intolerant.

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

This was a person. She loved to make out.

This was a person. She could fix anything. She did not sleep with a pillow.

This was a person. He was a mason.

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

This was a person. He was allergic to peanuts.

This was a person. She did not sleep with a pillow. She never drank coffee.

This was a person. She was homophobic.

This was a person. She occasionally shop lifted.

This was a person. She wore a lot of hats. She played World of Warcraft

This was a person. He was divorced.

This was a person. He always made the mashed potatoes at family get-togethers. He collected figurines.

This was a person. He excelled at woodworking.

This was a person. He has two living parents.

This was a person. She talked during movies.

This was a person. She went to the horseraces.

This was a person. He loved pot.

This was a person. She played soccer every weekend. She was afraid of the water.

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

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

This was a person. She had a baby boy.

This was a person. She loved oreos.

This was a person. She loved pot. She had extensions.

This was a person. He constantly wore sunglasses.

This was a person. He was sleeping with his ex.

This was a person. He was playing nine games of Words with Friends on his phone. He was always in a hurry.

This was a person. She made pie.

This was a person. She made her own beer and was kind of stingy with it.

This was a person. She was a street vendor.

This was a person. He led the choir.

This was a person. He was gluten intolerant.

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

This was a person. He overtipped.

This was a person. She picked up litter. She was good to people.

This was a person. She had a hangover yesterday. She was a pharmacist.

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

This was a person. She constantly wore sunglasses.

This was a person. She was an awful driver. She knew a lot of cops.

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

This was a person. She taught guitar.

This was a person. He never carried cash.

This was a person. She could play trumpet.

This was a person. She loved nachos.

This was a person. He always brought reusable bags into the store. He always had gum.

This was a person. She was the richest of her friends.

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

This was a person. He occasionally shop lifted.

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