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 brought great food to social gatherings. This was a person. She watched a lot of sports on TV, but never played them  herself. This was a person. She looked like a cartoon. This was a person. She was a hoarder. This was a person. She was a cat person. This was a person. He had a green thumb. This was a person. She was a good dancer. This was a person. He had a bunch of tattoos. This was a person. He was an expert barbecuer. He couldn't stand having the air-conditioner blow on   himself . This was a person. He chewed gum constantly. This was a person. She could play harmonica. This was a person. He could play cricket. He was very good at cleaning. This was a person. She had long fingernails. She sang. This was a person. He was a vegetarian. This was a person. She  finished reading all of the works of Homer. This was a person. She was a good dancer. This was a person. She didn't get along with animals. She wore bow ties. This was a person. He loved oreos. He ate a lot of raisins. This was a person. He had braces on  his  teeth. This was a person. He  was sleeping with  his  ex. He  was a drunk. This was a person. She played a lot of social card games.  This was a person. He had a green thumb. This was a person. He  was learning to speak French. He  always bought flowers for  his  desk. This was a person. She took careful notes after every meal. This was a person. He wore a lot of hats.  He had just paid a crapload of money to get    teeth fixed. This was a person. She was lactose intolerant. This was a person. She was cockeyed. This was a person. He had a lot of shoes. This was a person. He  was a street vendor. This was a person. She can't watch the end of T2 without crying This was a person. She never ate breakfast. This was a person. She  had a hangover yesterday. She  was a pharmacist. This was a person. She had crazy hair colors. This was a person. He was an awful driver. He could fall asleep anywhere. This was a person. He looked like a cartoon. He had a green thumb. This was a person. She was rebuilding an engine. She took careful notes after every meal. This was a person. He  was a tailor. He was a crossword whiz. This was a person. She  was a translator. This was a person. She  was a virgin. She  was a DJ. This was a person. She grew up on a farm.  This was a person. He  finished reading all of the works of Homer. This was a person. He wanted to learn magic. This was a person. She had a podcast. This was a person. He watched a lot of sports on TV, but never played them  himself. This was a person. He had an unfortunate nickname. This was a person. She always brought reusable bags into the store. This was a person. She was a hoarder. This was a person. He was always in a hurry. He watched a lot of sports on TV, but never played them  himself. This was a person. He tutored kids. This was a person. He always brought reusable bags into the store. This was a person. She loved cigarettes. This was a person. He was polite to salesmen. This was a person. She plays fantasy football. This was a person. He was polite to salesmen. This was a person. He was a scout leader.  This was a person. She was lactose intolerant. This was a person. He was always in a hurry. This was a person. She wore earphones all the time. This was a person. He was kind of addicted to ebay. This was a person. He had just paid a crapload of money to get    teeth fixed. This was a person. He  did open mike. This was a person. He made scrapbooks. This was a person. She had braces on  her  teeth. This was a person. He played a lot of social card games.  This was a person. She had a lot of Beatles records. This was a person. He had braces on  his  teeth. He never raised  hisvoice. This was a person. He was gluten intolerant. This was a person. He did not own a fridge. He didn't get along with animals. This was a person. He prefered bread without crusts. This was a person. He had a podcast. This was a person. She was a good dancer. This was a person. He was good at job interviews. This was a person. He overtipped. This was a person. He got thrown off of a golf course. This was a person. She was a glassblower. This was a person. He occasionally shop lifted. This was a person. She snored. She ate a lot of hot dogs. This was a person. He taught guitar. He threw a lot of parties. This was a person. She never ate breakfast. She could play banjo. This was a person. She wanted to learn magic. This was a person. She loved pot. She sang at parties. This was a person. He could play cricket. This was a person. He had braces on  his  teeth. This was a person. He picked up litter.  This was a person. He  was a drunk. This was a person. He had bonsai trees. He ate a lot of fiber. This was a person. She has two living parents. This was a person. She  had been having trouble tying  her shoes because  she  pulled a muscle in her abs. This was a person. He didn't have a family. This was a person. She  had a personal injury lawsuit working its way through the courts. This was a person. She wrote for the newspaper. This was a person. She never raised  hervoice. This was a person. He just had  his car stereo repaired. This was a person. She plays fantasy football. This was a person. He chewed nicotine gum. This was a person. She  always bought flowers for  her  desk. This was a person. He was a dog person. This was a person. She was polite to salesmen. She slept around. This was a person. He loved cigarettes. This was a person. She made  her  own beer and was kind of stingy with it. She had braces on  her  teeth. This was a person. She could juggle. She had long fingernails. This was a person. She had bonsai trees. She was gluten intolerant. This was a person. He had a lot of music on vinyl. This was a person. He  was afraid of flying. This was a person. He was lactose intolerant. This was a person. He was left-handed. This was a person. He  was sleeping with  his  ex. This was a person. He  was a tailor. He  went to church. This was a person. She  was a poet. This was a person. He loved wine. He had extensions. This was a person. She had an unfortunate nickname. This was a person. He was afraid of the water. This was a person. He loved oreos. This was a person. He ate a lot of fiber. This was a person. He once robbed a bank. He loved rollerblading. This was a person. She helped strangers. This was a person. He loved wine. He was a good dancer. This was a person. She loved chocolate. This was a person. He  called in sick to work 9 times last month and was written up at work. This was a person. He picked up litter.  He helped strangers. This was a person. She ate the food at convenience stores. She wore bow ties. This was a person. He had a lot of music on vinyl. This was a person. He was gluten intolerant. He ate a lot of kale. This was a person. He  was awaiting judgement for a DUI last month. He  was a tailor. This was a person. She could fix anything. She was a dog person. This was a person. He was kind of addicted to ebay. He did not sleep with a pillow. This was a person. She  had been having trouble tying  her shoes because  she  pulled a muscle in her abs. This was a person. He threw a lot of parties. This was a person. She had a baby boy. This was a person. He was a cat person. This was a person. He played a lot of social card games.  He was an expert barbecuer. This was a person. He knew how to get free satelittle television. He excelled at woodworking. This was a person. She knew how to get free satelittle television. This was a person. She tutored kids. This was a person. He  was learning to speak French. He  was a mason. This was a person. She loved oreos. This was a person. He picked up litter.  This was a person. He wore a lot of hats.  This was a person. He had a lot of shoes. This was a person. He had tropical fish. He wrote for the newspaper. This was a person. She played a lot of social card games.  She chewed nicotine gum. This was a person. He  played soccer every weekend. This was a person. She was always in a hurry. This was a person. He loved pot. He was the unofficial relationship guru among   friends. This was a person. He spent a lot of time with old people. This was a person. She was a skilled woodcarver. This was a person. She was divorced. This was a person. She always had gum. This was a person. She loved James Bond movies. This was a person. He  had VD. This was a person. She knew a lot of cops. She had tropical fish. This was a person. She  was a mason. This was a person. He could play banjo. This was a person. She constantly wore sunglasses. This was a person. She was an expert barbecuer. This was a person. He could juggle. He was polite to telemarketers. This was a person. She had a gun. This was a person. She went to the horseraces. This was a person. He made scrapbooks. He was balding. This was a person. She was a trivia master. This was a person. He taught guitar. This was a person. He  was a street vendor. He wore a lot of jewelry. This was a person. She always had a clean car. This was a person. He was a vegetarian. This was a person. She  was learning to use CAD software. This was a person. He loved cigarettes. He tutored kids. This was a person. He snored. He always wore a hat. This was a person. He lived on breakfast bars. This was a person. He  was a virgin. This was a person. She was thrifty. She chewed gum constantly. This was a person. He  was sort of selfish in bed. This was a person. She loved wine. This was a person. She had a bunch of cameras. This was a person. She always brought reusable bags into the store. This was a person. She couldn't grow a mustache. This was a person. She was the unofficial relationship guru among   friends. She just had the bandages removed from  plastic surgery. This was a person. He tutored kids. He was a scout leader.  This was a person. He loved James Bond movies. He watched a lot of sports on TV, but never played them  himself. This was a person. He made  his  own beer and was kind of stingy with it. This was a person. He always had gum. This was a person. He never carried cash. He constantly wore sunglasses. This was a person. She  was a mason. This was a person. He has two living parents. He  only ever had sex with one person. This was a person. She wore Spandex. She led the choir. This was a person. She grew up on a farm.  This was a person. He was always in a hurry. This was a person. She loved pot. This was a person. She could play cricket. This was a person. She was gluten intolerant. She was a hoarder. This was a person. She was allergic to peanuts. This was a person. He  was a translator. This was a person. He  finished reading all of the works of Homer. This was a person. She  scalped tickets This was a person. He was left-handed. This was a person. She was very good at cleaning. This was a person. She was very good at cleaning. She was left-handed. This was a person. She  volunteered at a middle school, because  she  had a crush on one of the other tutors. She  loved to make out. This was a person. She was good at job interviews. She was a hoarder. This was a person. She was a vegetarian. She had bonsai trees. This was a person. She  had VD. This was a person. She  was training to run a marathon. This was a person. He  was a DJ. This was a person. She loved cigarettes. This was a person. He  scalped tickets This was a person. She had a green thumb. This was a person. He was a hoarder. This was a person. He  did open mike. He had a bunch of tattoos. This was a person. She abused cars. This was a person. She never ate breakfast. This was a person. She played World of Warcraft This was a person. He had a sexy phone voice. He had a sailboat as a teen. This was a person. She chewed nicotine gum. This was a person. She loved Elvis. This was a person. She had an unfortunate nickname. This was a person. She  played soccer every weekend. This was a person. He never carried cash. He could fall asleep anywhere. This was a person. He smoked pot at music festivals. This was a person. He was 4 days sober. This was a person. He could fix anything. He always brought lunch. This was a person. He was allergic to peanuts. This was a person. He got out of jail two years ago and never reunited with his family. This was a person. He  was a DJ. This was a person. She could juggle. She ate a lot of hot dogs. This was a person. She helped people. This was a person. She was a crossword whiz. She had braces on  her  teeth. This was a person. She was a glassblower. This was a person. He  had a hangover yesterday. He  was learning to use CAD software. This was a person. He overtipped. This was a person. She once robbed a bank. This was a person. He was rebuilding an engine. He was kind of addicted to ebay. This was a person. He knew how to get free satelittle television. He was good to people. This was a person. He had an unfortunate nickname. He had a green thumb. This was a person. She loved to fish. She brought great food to social gatherings. This was a person. He was working  his  way through all of the shows on Netflix. He took careful notes after every meal. This was a person. He  played soccer every weekend. This was a person. She  was a historian. She had a bunch of tattoos. This was a person. He lived on breakfast bars. He ate a lot of fiber. This was a person. He was left-handed. This was a person. He wore a lot of hats.  He knew how to get free satelittle television. This was a person. He wanted to learn magic. This was a person. She loved wine. She was a cheapskate. This was a person. She made  her  own beer and was kind of stingy with it. This was a person. She was a vegetarian. This was a person. He had a bunch of cameras. This was a person. He overtipped. This was a person. He was a dog person. He was gluten intolerant. This was a person. He  kept buying vegetables, even though they always just went bad in  his fridge. This was a person. She chewed gum constantly. This was a person. She tutored kids. This was a person. She had bonsai trees. This was a person. She  had been having trouble tying  her shoes because  she  pulled a muscle in her abs. This was a person. He  dropped his work laptop last week, destroyed it and couldn't sleep for days. He  was kind of an awesome lover. This was a person. She  was a translator. This was a person. He was a skilled woodcarver. He chewed gum constantly. This was a person. She was working  her  way through all of the shows on Netflix. She never carried cash. This was a person. He had tropical fish. He kept to himself mostly This was a person. He had a twin. This was a person. She wore a lot of jewelry. This was a person. He had extensions. This was a person. He loved nachos. He was sporty. This was a person. He could fall asleep anywhere. This was a person. He  had VD. He was always in a hurry. This was a person. She  was awaiting judgement for a DUI last month. This was a person. He wore bow ties. This was a person. She never raised  hervoice. This was a person. She had a lot of Beatles records. This was a person. He  was a drunk. This was a person. She was the unofficial relationship guru among   friends. This was a person. He was allergic to peanuts. This was a person. He overtipped. He had just paid a crapload of money to get    teeth fixed.

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