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: Kfar Etzion Massacre: 1948

129 Dead Men and Women

The Kfar Etzion massacre was a massacre of 129 Jews by the Arab Legion on May 13, 1948, the day before the Israeli Declaration of Independence.

This was a person. She  called in sick to work 9 times last month and was written up at work. This was a person. He loved chocolate. He grew up on a farm.  This was a person. She looked like a cartoon. This was a person. He ate a lot of hot dogs. This was a person. He abused cars. This was a person. She always had gum. This was a person. She tutored kids. She had a green thumb. This was a person. He never raised  hisvoice. This was a person. She ate the food at convenience stores. This was a person. He  loved to make out. This was a person. He ate a lot of kale. This was a person. She just had  her car stereo repaired. This was a person. He was very good at cleaning. This was a person. She was polite to salesmen. She slept around. This was a person. She  was a translator. She  played soccer every weekend. This was a person. She lived on breakfast bars. This was a person. She sang at parties. This was a person. He could fall asleep anywhere. This was a person. He once robbed a bank. This was a person. He  was a mason. He was afraid of heights. This was a person. He spends a lot of time watching tennis. This was a person. He can't watch the end of T2 without crying This was a person. He was a dog person. This was a person. He wore a lot of hats.  He picked up litter.  This was a person. He could play trumpet. This was a person. He excelled at woodworking. This was a person. He was rebuilding an engine. He wore a lot of jewelry. This was a person. She loved cigarettes. This was a person. She always brought lunch. This was a person. She was a dog person. This was a person. She  was a poet. This was a person. He tutored kids. This was a person. He  was a street vendor. This was a person. He made pie. This was a person. She threw a lot of parties. This was a person. She was kind of addicted to ebay. This was a person. He never finished the book club book. This was a person. She was afraid of the water. This was a person. She  was learning to use CAD software. This was a person. She  was a DJ. This was a person. She kept to herself mostly This was a person. She had a bunch of tattoos. She did not sleep with a pillow. This was a person. She kept to herself mostly This was a person. She  played soccer every weekend. This was a person. He never carried cash. This was a person. She  played soccer every weekend. This was a person. He was an expert barbecuer. He never answered the phone. This was a person. She  was playing nine games of Words with Friends on  her  phone. She  was a mason. This was a person. He loved cigarettes. He was a good dancer. This was a person. He was a good dancer. This was a person. She could play trumpet. This was a person. She could play harmonica. She sang. This was a person. She was good at job interviews. This was a person. She looked like a cartoon. This was a person. She could play banjo. She never finished the book club book. This was a person. He could juggle. This was a person. She  was learning to use CAD software. This was a person. He wore a lot of hats.  This was a person. She went to the horseraces. She had a sexy phone voice. This was a person. He wore bow ties. He couldn't swim. This was a person. She always brought lunch. She was gluten intolerant. This was a person. He loved fine dining. This was a person. He was living with his sister. He  dropped his work laptop last week, destroyed it and couldn't sleep for days. This was a person. He could juggle. This was a person. He couldn't grow a mustache. He was a secret Buddahist. This was a person. She had tropical fish. She threw a lot of parties. This was a person. He was an awful driver. This was a person. He  did open mike. This was a person. He had a lot of music on vinyl. This was a person. He was a crossword whiz. This was a person. He was divorced. This was a person. He looked like a cartoon. This was a person. She loved wine. This was a person. She wanted to learn magic. She ate a lot of raisins. This was a person. She spends a lot of time watching tennis. This was a person. He was a secret Buddahist. This was a person. She played chess. She loved rollerblading. This was a person. She abused cars. She was balding. This was a person. She had a lot of Beatles records. This was a person. She had a twin. This was a person. She had a green thumb. She loved MASH. This was a person. She was afraid of the water. She helped people. This was a person. He had long fingernails. This was a person. She  got a terrible haircut a few days ago and shaved  her  head to escape from it. She  scalped tickets This was a person. He had a podcast. He could play banjo. This was a person. She had a twin. This was a person. She could play banjo. She ate a lot of chinese food. This was a person. She was working  her  way through all of the shows on Netflix. This was a person. She made  her  own beer and was kind of stingy with it. This was a person. He  was a virgin. He  was playing nine games of Words with Friends on  his  phone. This was a person. She watched a lot of sports on TV, but never played them  herself. This was a person. He  was a street vendor. He  did open mike. This was a person. He played a lot of social card games.  This was a person. She survived cancer. This was a person. He spent a lot of time with old people. This was a person. He could play cricket. He was polite to salesmen. This was a person. He always had gum. He went to the horseraces. This was a person. He was good to people. This was a person. He sang at parties. He chewed nicotine gum. This was a person. He ate a lot of raisins. He survived cancer. This was a person. He had a podcast. This was a person. She once robbed a bank. This was a person. She ate a lot of kale. This was a person. He was a trivia master. He was an awful driver. This was a person. He was a dog person. He ate a lot of fish. This was a person. He did not own a fridge. He went to the horseraces. This was a person. He was working  his  way through all of the shows on Netflix. This was a person. He never drank coffee. This was a person. He ate a lot of hot dogs. He always had a clean car. This was a person. She constantly wore sunglasses. This was a person. He wore earphones all the time. This was a person. He was polite to salesmen. He was a hoarder. This was a person. He got thrown off of a golf course. He was good to people. This was a person. She did not own a fridge. She was rough and tumble. This was a person. He  only ever had sex with one person. This was a person. He was a cheapskate. This was a person. He can't watch the end of T2 without crying He loved Elvis. This was a person. She never finished the book club book. This was a person. He was 4 days sober. This was a person. She made scrapbooks. This was a person. He loved wine. He did not own a fridge. This was a person. He could play cricket. This was a person. She  called in sick to work 9 times last month and was written up at work. This was a person. He was thrifty. This was a person. He was the unofficial relationship guru among  his friends. This was a person. He  had a hangover yesterday. This was a person. He never raised  hisvoice. This was a person. She was a good dancer. This was a person. She  was sleeping with  her  ex.

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