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 an awful driver. 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. He  called in sick to work 9 times last month and was written up at work. He  was a virgin. This was a person. He abused cars. He had a tiny wine collection. This was a person. He was a wedding photographer. This was a person. She was a vegetarian. This was a person. He never drank coffee. He loved chocolate. This was a person. He has four overdue books.  This was a person. She never carried cash. This was a person. He  went to church. This was a person. He was a cat person. This was a person. He was rebuilding an engine. This was a person. He wanted to learn magic. This was a person. She always had a clean car. This was a person. He was a secret Buddahist. He had bonsai trees. This was a person. He had a lot of shoes. This was a person. She loved oreos. This was a person. She grew up on a farm.  This was a person. He picked up litter.  This was a person. He always brought lunch. This was a person. He  was learning to use CAD software. This was a person. He grew up on a farm.  This was a person. She has two living parents. She  was a virgin. This was a person. He never drank coffee. This was a person. He was good at job interviews. He ate a lot of hot dogs. This was a person. He once robbed a bank. This was a person. He loved to fish. This was a person. He  was learning to speak French. He  always bought flowers for  his  desk. This was a person. He was the richest of  his friends. This was a person. He always had gum. This was a person. He once robbed a bank. This was a person. She  was learning to speak French. This was a person. She was a good dancer. This was a person. He was left-handed. This was a person. He can't watch the end of T2 without crying This was a person. She made pie. She had a bunch of cameras. This was a person. He could play banjo. He loved wine. This was a person. He could fix anything. This was a person. He was rough and tumble. This was a person. She picked up litter.  She spent a lot of time with old people. This was a person. He knew a lot of cops. This was a person. He loved nachos. This was a person. He had a bunch of cameras. He could play banjo. This was a person. He can't watch the end of T2 without crying This was a person. He was homophobic. He was a glassblower. This was a person. He grew up on a farm.  He had just paid a crapload of money to get    teeth fixed. This was a person. She  did open mike. She was a Mac evangelist. This was a person. She was a Mac evangelist. This was a person. He  was learning to use CAD software. He can't watch the end of T2 without crying This was a person. He never finished the book club book. This was a person. He had a bunch of cameras. He could play harmonica. This was a person. She  went to church. She was afraid of heights. This was a person. He slept around. He ate the food at convenience stores. This was a person. He was gluten intolerant. He could play harmonica. This was a person. He smoked pot at music festivals. He never answered the phone. This was a person. He threw a lot of parties. He could play harmonica. This was a person. She was divorced. This was a person. He was polite to salesmen. This was a person. She sang. This was a person. He was rough and tumble. He chewed nicotine gum. This was a person. He was very good at cleaning. This was a person. He had long fingernails. This was a person. He was a cheapskate. This was a person. She was a scout leader.  This was a person. She lived on breakfast bars. She was lactose intolerant. This was a person. She  was sort of selfish in bed. This was a person. She never drank coffee. This was a person. She always wore a hat. This was a person. He loved to fish.

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
  • The Television Commercial Database

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