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. He was always in a hurry. This was a person. He had a lot of shoes. This was a person. He always had gum. This was a person. She sang at parties. This was a person. She threw a lot of parties. This was a person. He loved James Bond movies. This was a person. He sang at parties. He went to the horseraces. This was a person. She  was kind of an awesome lover. This was a person. She never drank coffee. This was a person. He didn't have a family. This was a person. She was left-handed. She plays fantasy football. This was a person. He was polite to salesmen. He always wore a hat. This was a person. She was polite to salesmen. This was a person. He had a baby boy. This was a person. He excelled at woodworking. He was obsessed with sitcoms. This was a person. He had a lot of shoes. This was a person. She ate a lot of kale. She always had a clean car. This was a person. He had extensions. He plays fantasy football. This was a person. She  kept buying vegetables, even though they always just went bad in  her fridge. This was a person. He talked during movies. He took a lot of photos. This was a person. He abused cars. This was a person. She was a cheapskate. This was a person. He talked during movies. This was a person. She loved wine. This was a person. He has two living parents. This was a person. He wore earphones all the time. This was a person. She made  her  own beer and was kind of stingy with it. This was a person. He had a lot of Beatles records. This was a person. He never carried cash. He talked during movies. This was a person. He played a lot of social card games.  This was a person. She loved cigarettes. She was the unofficial relationship guru among   friends. This was a person. He was left-handed. This was a person. She had a lot of Beatles records. She was thrifty. This was a person. She sang. This was a person. She was sporty. This was a person. She had a lot of Beatles records. This was a person. He has two living parents. He had a twin. This was a person. He did not sleep with a pillow. He was divorced. This was a person. He got out of jail two years ago and never reunited with his family. This was a person. She wore bow ties. This was a person. He was the unofficial relationship guru among   friends. He slept around. This was a person. She was working  her  way through all of the shows on Netflix. This was a person. She chewed gum constantly. She loved chocolate. This was a person. He knew a lot of cops. He always brought lunch. This was a person. She took careful notes after every meal. This was a person. She  could always get tickets. This was a person. He was always in a hurry. This was a person. He  had a personal injury lawsuit working its way through the courts. He  was a translator. This was a person. She had long fingernails. This was a person. She  was a DJ. This was a person. She looked like a cartoon. This was a person. He was the richest of  his friends. This was a person. He played chess. He never answered the phone. This was a person. He sang. This was a person. He loved chocolate. This was a person. He wore Spandex. This was a person. She made  her  own beer and was kind of stingy with it. This was a person. He  was a DJ. He had braces on  his  teeth. This was a person. He was a wedding photographer. This was a person. She  was a historian. This was a person. She always wore a hat. This was a person. She was a skilled woodcarver. This was a person. He just had  his car stereo repaired. He had a lot of Beatles records. This was a person. He  was sort of selfish in bed. This was a person. He  only ever had sex with one person. This was a person. She had a bunch of tattoos. This was a person. She chewed gum constantly. This was a person. She was rough and tumble. This was a person. She has two living parents. This was a person. She  was a virgin. This was a person. He excelled at woodworking. This was a person. She ate a lot of fish. She was allergic to peanuts. This was a person. He  was a pharmacist. He had a bunch of tattoos. This was a person. He  did open mike. This was a person. She went to the horseraces. This was a person. She picked up litter.  This was a person. He didn't have a family. This was a person. He was good to people. He helped the widow next door. This was a person. She smoked pot at music festivals. This was a person. He helped strangers. This was a person. He has two living parents. This was a person. He had an awesome home theatre. He made pie. This was a person. She had a lot of shoes. This was a person. He just had the bandages removed from  plastic surgery. This was a person. She could juggle. This was a person. She  was a street vendor. She was a trivia master. This was a person. She went to the horseraces. She was good to people. This was a person. He  could always get tickets. This was a person. He helped strangers. He fed the birds. This was a person. She had a green thumb. This was a person. He loved chocolate. He was a hoarder. This was a person. He always brought reusable bags into the store. This was a person. She ate a lot of raisins. This was a person. He played World of Warcraft This was a person. He led the choir. This was a person. He excelled at woodworking. This was a person. She could play banjo. This was a person. She  was learning to use CAD software. She was always in a hurry. This was a person. She got thrown off of a golf course. This was a person. She  collected figurines. This was a person. He  loved to make out. This was a person. She had crazy hair colors. She overtipped. This was a person. He got thrown off of a golf course. This was a person. She ate a lot of fiber. She was rough and tumble. This was a person. She loved Elvis. This was a person. She brought great food to social gatherings. This was a person. She could play cricket. She wore Spandex. This was a person. She ate a lot of raisins. She never finished the book club book. This was a person. She got thrown off of a golf course. This was a person. He got thrown off of a golf course. This was a person. She was rebuilding an engine. This was a person. He was lactose intolerant. This was a person. He  was a virgin. He  did open mike. This was a person. He spends a lot of time watching tennis. This was a person. He  loved to make out. This was a person. She was an awful driver. This was a person. He had a sexy phone voice. He was convinced he was color blind. This was a person. She lived on breakfast bars. This was a person. She was an awful driver. This was a person. She has two living parents. This was a person. She helped strangers. This was a person. She  scalped tickets This was a person. She  was learning to speak French. She  was a plumber. This was a person. She loved oreos. This was a person. He played a lot of social card games.  This was a person. He had a twin. This was a person. He  was a virgin. This was a person. She was afraid of the water. She had a lot of music on vinyl. This was a person. He  was a mason. He couldn't grow a mustache.

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