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: Lockerbie bombing: 1988

270 Dead Men and Women

Lockerbie bombing was the bombing of Pan Am flight 103 in 1988, killing 270 people.

This was a person. She  was learning to speak French. This was a person. She could play cricket. This was a person. He had a bunch of cameras. This was a person. He always made the mashed potatoes at family get-togethers. This was a person. She never raised  hervoice. She brought great food to social gatherings. This was a person. He has a suit at the cleaners. He played piano. This was a person. He abused cars. This was a person. He was polite to salesmen. This was a person. He was divorced. He lived on breakfast bars. This was a person. She was very good at cleaning. This was a person. She  volunteered at a middle school, because  she  had a crush on one of the other tutors. She  did open mike. This was a person. She was thrifty. This was a person. He had an unfortunate nickname. This was a person. She got out of jail two years ago and never reunited with her family. This was a person. She  went to church. This was a person. She was a skilled woodcarver. This was a person. He spent a lot of time with old people. This was a person. He loved Elvis. He could fall asleep anywhere. This was a person. She  was awaiting judgement for a DUI last month. This was a person. She  was sleeping with  her  ex. This was a person. She  was learning to use CAD software. This was a person. She had just paid a crapload of money to get    teeth fixed. She was diabetic. This was a person. She always made the mashed potatoes at family get-togethers. This was a person. She loved chocolate. She never finished the book club book. This was a person. He  went to church. He couldn't grow a mustache. This was a person. He  was learning to use CAD software. This was a person. He taught guitar. This was a person. He  called in sick to work 9 times last month and was written up at work. This was a person. She kept to herself mostly This was a person. He was good to people. He fed the birds. This was a person. She was 4 days sober. This was a person. She  was training to run a marathon. She  was a translator. This was a person. He had just paid a crapload of money to get    teeth fixed. This was a person. He always wore a hat. He had extensions. This was a person. She abused cars. This was a person. She  loved to make out. This was a person. He spent a lot of time with old people. This was a person. She  scalped tickets This was a person. He loved James Bond movies. This was a person. She played a lot of social card games.  This was a person. She got thrown off of a golf course. This was a person. She constantly wore sunglasses. She threw a lot of parties. This was a person. She  played soccer every weekend. She knew a lot of cops. This was a person. He ate the food at convenience stores. This was a person. He loved cigarettes. This was a person. He was afraid of heights. This was a person. She  only ever had sex with one person. This was a person. He  was a street vendor. He was rebuilding an engine. This was a person. She watched a lot of sports on TV, but never played them  herself. This was a person. She  had a hangover yesterday. She  always bought flowers for  her  desk. This was a person. She had crazy hair colors. She was left-handed. This was a person. He had an unfortunate nickname. This was a person. He helped strangers. This was a person. She plays fantasy football. She had a sexy phone voice. This was a person. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. This was a person. He loved nachos. This was a person. She grew up on a farm.  This was a person. She  did open mike. This was a person. She couldn't grow a mustache. This was a person. He got out of jail two years ago and never reunited with his family. This was a person. She was 4 days sober. She  was a mason. This was a person. He  could always get tickets. This was a person. He was a vegetarian. He could play cricket. This was a person. She loved wine. This was a person. She was living with her sister. This was a person. She picked up litter.  This was a person. He could fall asleep anywhere. He helped people. This was a person. She had a bunch of cameras. This was a person. He was the unofficial relationship guru among   friends. This was a person. He  was playing nine games of Words with Friends on  his  phone. This was a person. She had a lot of shoes. This was a person. He spent a lot of time with old people. He had lice. This was a person. She was a cheapskate. This was a person. He got thrown off of a golf course. This was a person. He was always in a hurry. This was a person. He was sporty. This was a person. She kept to herself mostly She sang. This was a person. She loved oreos. This was a person. She was working  her  way through all of the shows on Netflix. She watched a lot of sports on TV, but never played them  herself. This was a person. He  was a historian. This was a person. She abused cars. She was balding. This was a person. He  was a translator. He was rebuilding an engine. This was a person. She was the richest of  her friends. This was a person. She loved Elvis. This was a person. He helped people. This was a person. He could fix anything. He did not sleep with a pillow. This was a person. He  was sort of selfish in bed. This was a person. She  was a street vendor. This was a person. She led the choir. She chewed nicotine gum. This was a person. He looked like a cartoon. He didn't get along with animals. This was a person. She played a lot of social card games.  She led the choir. This was a person. She smoked pot at music festivals. This was a person. He loved pot. This was a person. He  was kind of an awesome lover. He  was a street vendor. This was a person. She had an unfortunate nickname. This was a person. She was a hoarder. This was a person. He was good at job interviews. This was a person. He was rough and tumble. This was a person. He played a lot of social card games.  This was a person. He prefered bread without crusts. This was a person. She had braces on  her  teeth. This was a person. She  went to church. This was a person. He spends a lot of time watching tennis. He excelled at woodworking. This was a person. She never carried cash. This was a person. She was kind of addicted to ebay. She constantly wore sunglasses. This was a person. He talked during movies. This was a person. He was polite to salesmen. This was a person. She watched a lot of sports on TV, but never played them  herself. This was a person. She occasionally shop lifted. This was a person. She loved James Bond movies. This was a person. He  was a historian. He has a suit at the cleaners. This was a person. He  finished reading all of the works of Homer. This was a person. She ate a lot of fish. This was a person. She loved chocolate. This was a person. He  had a hangover yesterday. This was a person. He ate a lot of hot dogs. This was a person. He was kind of addicted to ebay. He taught guitar. This was a person. He had a lot of music on vinyl. He was a vegetarian. This was a person. She was good to people. This was a person. He had a baby boy. This was a person. She loved fine dining. This was a person. She was a dog person. She chewed gum constantly. This was a person. She had a bunch of tattoos. This was a person. She was lactose intolerant. This was a person. She had a baby boy. This was a person. She had an unfortunate nickname. This was a person. She  was a historian. This was a person. He was homophobic. He kept to himself mostly This was a person. He  was playing nine games of Words with Friends on  his  phone. This was a person. She excelled at woodworking. She couldn't stand having the air-conditioner blow on   herself . This was a person. She  was a drunk. This was a person. He  was training to run a marathon. This was a person. He loved fine dining. This was a person. She had tropical fish. This was a person. He  had VD. This was a person. He was a scout leader.  This was a person. She always had a clean car. This was a person. He was a skilled woodcarver. This was a person. She took a lot of photos. She had bonsai trees. This was a person. He didn't get along with animals. He picked up litter.  This was a person. He constantly wore sunglasses. This was a person. He could play trumpet. This was a person. He was divorced. He had a podcast. This was a person. She never raised  hervoice. She threw a lot of parties. This was a person. She could play harmonica. This was a person. He wore a lot of jewelry. This was a person. He  had been having trouble tying  his shoes because  he  pulled a muscle in his abs. He  was kind of an awesome lover. This was a person. She  was training to run a marathon. She  was learning to use CAD software. This was a person. He had a green thumb. This was a person. She  was a pharmacist. This was a person. He sang at parties. This was a person. She  had been having trouble tying  her shoes because  she  pulled a muscle in her abs. This was a person. She had tropical fish. She never drank coffee. This was a person. She had long fingernails. She always wore a hat. This was a person. She once robbed a bank. This was a person. She wore a lot of hats.  She chewed nicotine gum. This was a person. She  had a personal injury lawsuit working its way through the courts. 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 was a scout leader.  This was a person. He  was afraid of flying. This was a person. He was a Mac evangelist. He was divorced. This was a person. She was afraid of heights. This was a person. She could juggle. This was a person. He knew a lot of cops. This was a person. She led the choir. This was a person. She couldn't grow a mustache. This was a person. He was a good dancer. This was a person. He  had a personal injury lawsuit working its way through the courts. He was afraid of heights. 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. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. This was a person. She  was training to run a marathon. She  was a historian. This was a person. He was rough and tumble. This was a person. He did not own a fridge. This was a person. She  was a plumber. This was a person. She loved oreos. She could play harmonica. This was a person. He watched a lot of sports on TV, but never played them  himself. This was a person. She snored. She could play harmonica. This was a person. He never finished the book club book. This was a person. She was a Mac evangelist. This was a person. He ate a lot of hot dogs. This was a person. He  was a translator. This was a person. She  always bought flowers for  her  desk. This was a person. She always wore a hat. She had extensions. This was a person. She excelled at woodworking. She never answered the phone. This was a person. He  always bought flowers for  his  desk. He  went to church. This was a person. She was a wedding photographer. This was a person. She ate the food at convenience stores. She played guitar on the streets for money. This was a person. He smoked pot at music festivals. This was a person. She  loved to make out. This was a person. She was a Mac evangelist. This was a person. She picked up litter.  She was balding. This was a person. He loved oreos. This was a person. He  was a virgin. This was a person. He made scrapbooks. This was a person. He didn't have a family. This was a person. She was a good dancer. She was a cheapskate. This was a person. She  was a pharmacist. This was a person. She brought great food to social gatherings. This was a person. He prefered bread without crusts. This was a person. He could fall asleep anywhere. He was a glassblower. This was a person. He was very good at cleaning. This was a person. She always brought lunch. This was a person. She made scrapbooks. This was a person. He  called in sick to work 9 times last month and was written up at work. This was a person. She had a lot of shoes. She had a tiny wine collection. This was a person. She  was a poet. This was a person. He had just paid a crapload of money to get    teeth fixed. He was diabetic. This was a person. She loved James Bond movies. This was a person. She was a cheapskate. She spent a lot of time with old people. This was a person. He was a hoarder. He played a lot of social card games.  This was a person. He can't watch the end of T2 without crying This was a person. She spent a lot of time with old people. This was a person. She was always in a hurry. This was a person. She loved fine dining. She helped strangers. This was a person. She has two living parents. She  had a personal injury lawsuit working its way through the courts. This was a person. She didn't have a family. This was a person. She helped strangers. This was a person. She had extensions. This was a person. He wore a lot of hats.  He excelled at woodworking. This was a person. He has a suit at the cleaners. This was a person. She had a lot of music on vinyl. This was a person. She  loved to make out. This was a person. He  was a pharmacist. He  went to church. This was a person. He was a vegetarian. He snored. This was a person. He was rebuilding an engine. He did not sleep with a pillow. This was a person. He  was a historian. This was a person. She  was afraid of flying. This was a person. She  played soccer every weekend. This was a person. She once robbed a bank. This was a person. She was rough and tumble. This was a person. She overtipped. This was a person. She  had a hangover yesterday. She  was sort of selfish in bed. This was a person. She just had  her car stereo repaired. She couldn't grow a mustache. This was a person. He never ate breakfast. This was a person. He  kept buying vegetables, even though they always just went bad in  his fridge. This was a person. She was divorced. This was a person. She threw a lot of parties. This was a person. She was very careful about conserving gasoline. This was a person. He had extensions. This was a person. He grew up on a farm.  He had a lot of shoes. This was a person. She had crazy hair colors. She plays fantasy football. This was a person. She loved pot. This was a person. She wore a lot of hats.  This was a person. He played World of Warcraft He occasionally shop lifted. This was a person. He had long fingernails. This was a person. He was lactose intolerant. He ate a lot of hot dogs. This was a person. She was afraid of heights. She had a gun. This was a person. He couldn't grow a mustache. This was a person. He always had gum. This was a person. She smoked pot at music festivals. She never answered the phone. This was a person. He had an awesome home theatre. This was a person. He had crazy hair colors. This was a person. He could fix anything. He was thrifty. This was a person. She sang. This was a person. He  was a teacher. This was a person. He had a baby boy. He  was learning to use CAD software. This was a person. She wore bow ties. She helped the widow next door. This was a person. He was rough and tumble. This was a person. She loved oreos. She ate a lot of hot dogs. This was a person. He  was a poet. This was a person. She had a gun. This was a person. He was a scout leader.  He helped strangers. This was a person. He was divorced. This was a person. She helped people. This was a person. He overtipped. This was a person. He  was a poet. This was a person. She  only ever had sex with one person. She  was a historian. This was a person. He had long fingernails. This was a person. She looked like a cartoon. This was a person. He has four overdue books.

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