Lockerbie bombing Tragedy Casualties Visualization Tool - Cockeyed.com

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. He ate a lot of fish. He was polite to salesmen.

This was a person. He had a personal injury lawsuit working its way through the courts.

This was a person. She never carried cash.

This was a person. He was a mason. He was afraid of heights.

This was a person. He just had his car stereo repaired.

This was a person. She was gluten intolerant.

This was a person. She could play cricket.

This was a person. He was a translator. He just had his car stereo repaired.

This was a person. She was very careful about conserving gasoline.

This was a person. He had a bunch of cameras.

This was a person. He was a drunk. He went to church.

This was a person. She played a lot of social card games.

This was a person. She had a hangover yesterday.

This was a person. She played chess.

This was a person. He was always in a hurry.

This was a person. She ate a lot of fiber. She sang.

This was a person. She never raised hervoice. She was divorced.

This was a person. She was the unofficial relationship guru among friends.

This was a person. She could juggle.

This was a person. He was gluten intolerant.

This was a person. He could fix anything.

This was a person. He was good at job interviews.

This was a person. He was a trivia master.

This was a person. She played chess.

This was a person. He was a dog person.

This was a person. He was very careful about conserving gasoline.

This was a person. She had a hangover yesterday.

This was a person. She made her own beer and was kind of stingy with it.

This was a person. He was a historian.

This was a person. He brought great food to social gatherings.

This was a person. He scalped tickets He took careful notes after every meal.

This was a person. He loved pot. He was the unofficial relationship guru among friends.

This was a person. She always brought lunch.

This was a person. He took a lot of photos.

This was a person. She always brought lunch.

This was a person. He was thrifty.

This was a person. She was a historian. She couldn't grow a mustache.

This was a person. He was polite to salesmen.

This was a person. She was divorced. She had a podcast.

This was a person. She was kind of addicted to ebay.

This was a person. She was learning to speak French.

This was a person. He had a baby boy. He always bought flowers for his desk.

This was a person. She played World of Warcraft

This was a person. He was sleeping with his ex.

This was a person. He smoked pot at music festivals.

This was a person. He made his own beer and was kind of stingy with it.

This was a person. She loved wine.

This was a person. He always had gum. He was good to people.

This was a person. She played piano.

This was a person. She was rough and tumble.

This was a person. She brought great food to social gatherings.

This was a person. He was training to run a marathon.

This was a person. He grew up on a farm. He ate the food at convenience stores.

This was a person. She was a teacher.

This was a person. She went to church. She never carried cash.

This was a person. He excelled at woodworking. He fed the birds.

This was a person. She talked during movies. She threw a lot of parties.

This was a person. She was left-handed.

This was a person. She was a drunk.

This was a person. He took a lot of photos.

This was a person. She was a plumber. She was a trivia master.

This was a person. She was an expert barbecuer.

This was a person. She had a twin.

This was a person. She could fall asleep anywhere. She was divorced.

This was a person. He was a cat person.

This was a person. She was a crossword whiz.

This was a person. She didn't have a family.

This was a person. She had a green thumb.

This was a person. He had a lot of shoes.

This was a person. She could fix anything.

This was a person. He was a translator. He just had his car stereo repaired.

This was a person. She slept around. She loved fine dining.

This was a person. He was 4 days sober. He was a translator.

This was a person. She scalped tickets

This was a person. She has four overdue books.

This was a person. He loved chocolate. He survived cancer.

This was a person. She was very careful about conserving gasoline.

This was a person. He plays fantasy football.

This was a person. He wore a lot of hats.

This was a person. She was kind of addicted to ebay. She had an awesome home theatre.

This was a person. He always bought flowers for his desk.

This was a person. She was a trivia master. She loved to fish.

This was a person. He chewed gum constantly.

This was a person. She was good to people.

This was a person. She looked like a cartoon.

This was a person. She did not sleep with a pillow. She had a bunch of cameras.

This was a person. He can't watch the end of T2 without crying

This was a person. He watched a lot of sports on TV, but never played them himself.

This was a person. He ate a lot of fish.

This was a person. He loved pot.

This was a person. He grew up on a farm.

This was a person. She had a bunch of tattoos. She helped people.

This was a person. He wanted to learn magic. He loved nachos.

This was a person. He looked like a cartoon.

This was a person. She was a skilled woodcarver.

This was a person. He grew up on a farm.

This was a person. She had a lot of shoes. She smoked pot at music festivals.

This was a person. She grew up on a farm.

This was a person. She was awaiting judgement for a DUI last month. She was learning to use CAD software.

This was a person. She had an unfortunate nickname.

This was a person. She brought great food to social gatherings.

This was a person. She was very careful about conserving gasoline.

This was a person. He always brought lunch.

This was a person. She always bought flowers for her desk.

This was a person. He was a street vendor.

This was a person. He ate the food at convenience stores.

This was a person. She had bonsai trees.

This was a person. She was an awful driver.

This was a person. He smoked pot at music festivals. He was diabetic.

This was a person. He only ever had sex with one person.

This was a person. She was polite to salesmen.

This was a person. He was awaiting judgement for a DUI last month. He played soccer every weekend.

This was a person. She watched a lot of sports on TV, but never played them herself.

This was a person. She just had the bandages removed from plastic surgery. She abused cars.

This was a person. She could play cricket.

This was a person. He always brought lunch.

This was a person. She spent a lot of time with old people. She had a sailboat as a teen.

This was a person. He kept to himself mostly

This was a person. She wanted to learn magic. She could juggle.

This was a person. She was always in a hurry.

This was a person. He played piano.

This was a person. He has a suit at the cleaners.

This was a person. He was a plumber.

This was a person. She lived on breakfast bars. She loved nachos.

This was a person. He wanted to learn magic.

This was a person. She took a lot of photos.

This was a person. She had a bunch of cameras.

This was a person. She was a street vendor.

This was a person. She had VD. She was a plumber.

This was a person. She was a mason.

This was a person. She was the unofficial relationship guru among friends. She led the choir.

This was a person. He once robbed a bank.

This was a person. He went to the horseraces. He occasionally shop lifted.

This was a person. He sang at parties.

This was a person. He had crazy hair colors.

This was a person. She was sporty.

This was a person. She wanted to learn magic.

This was a person. He had an awesome home theatre.

This was a person. He did not sleep with a pillow.

This was a person. She went to the horseraces.

This was a person. She made her own beer and was kind of stingy with it.

This was a person. She plays fantasy football.

This was a person. She had tropical fish. She prefered bread without crusts.

This was a person. He was an awful driver.

This was a person. He had VD.

This was a person. She was a tailor.

This was a person. He spent a lot of time with old people. He was diabetic.

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 drunk. He was afraid of the water.

This was a person. She wore a lot of hats.

This was a person. She plays fantasy football. She occasionally shop lifted.

This was a person. He was divorced.

This was a person. He loved James Bond movies. He did not sleep with a pillow.

This was a person. He was a poet.

This was a person. He was very good at cleaning.

This was a person. She could fall asleep anywhere. She was a vegetarian.

This was a person. He could play harmonica. He always had a clean car.

This was a person. She never finished the book club book. She played a lot of social card games.

This was a person. She was a secret Buddahist. She lived on breakfast bars.

This was a person. She was cockeyed.

This was a person. She had an unfortunate nickname.

This was a person. She tutored kids.

This was a person. She lived on breakfast bars. She ate a lot of hot dogs.

This was a person. She grew up on a farm.

This was a person. She ate a lot of hot dogs.

This was a person. He threw a lot of parties.

This was a person. She loved fine dining.

This was a person. He was a skilled woodcarver.

This was a person. She always made the mashed potatoes at family get-togethers.

This was a person. She never raised hervoice.

This was a person. He had crazy hair colors.

This was a person. She was very careful about conserving gasoline.

This was a person. He kept to himself mostly He could play banjo.

This was a person. She made scrapbooks.

This was a person. She never drank coffee.

This was a person. He overtipped.

This was a person. He made scrapbooks.

This was a person. She had bonsai trees.

This was a person. She had a hangover yesterday.

This was a person. He was divorced.

This was a person. He was a historian.

This was a person. He got thrown off of a golf course.

This was a person. He made his own beer and was kind of stingy with it.

This was a person. She finished reading all of the works of Homer.

This was a person. She scalped tickets

This was a person. He was rebuilding an engine. He had an awesome home theatre.

This was a person. He just had the bandages removed from plastic surgery.

This was a person. She led the choir. She plays fantasy football.

This was a person. He led the choir. He was balding.

This was a person. He was thrifty.

This was a person. He wore bow ties.

This was a person. She had a lot of shoes. She had a sexy phone voice.

This was a person. He was allergic to peanuts.

This was a person. He talked during movies.

This was a person. She always brought lunch.

This was a person. He always had a clean car. He grew up on a farm.

This was a person. She was very careful about conserving gasoline.

This was a person. He was an expert barbecuer. He was a loner.

This was a person. She talked during movies. She lived on breakfast bars.

This was a person. She never drank coffee. She could play banjo.

This was a person. She looked like a cartoon. She was left-handed.

This was a person. She was a poet. She can't watch the end of T2 without crying

This was a person. He finished reading all of the works of Homer.

This was a person. She plays fantasy football.

This was a person. He was afraid of the water.

This was a person. She took careful notes after every meal. She was a secret Buddahist.

This was a person. He was living with his sister. He finished reading all of the works of Homer.

This was a person. She brought great food to social gatherings.

This was a person. She helped people.

This was a person. He was a pharmacist.

This was a person. She was sort of selfish in bed.

This was a person. He collected figurines.

This was a person. She was a mason.

This was a person. He was afraid of heights.

This was a person. He was polite to salesmen.

This was a person. He wore bow ties. He played guitar on the streets for money.

This was a person. She sang at parties.

This was a person. He excelled at woodworking. He liked to argue.

This was a person. He was the richest of his friends. He took a lot of photos.

This was a person. He had just paid a crapload of money to get teeth fixed. He has a music afficianado.

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 was the richest of her friends.

This was a person. She has two living parents.

This was a person. She went to church.

This was a person. He was a translator. He played soccer every weekend.

This was a person. He was a teacher. He has a suit at the cleaners.

This was a person. She took careful notes after every meal.

This was a person. She was a good dancer. She didn't get along with animals.

This was a person. She got a terrible haircut a few days ago and shaved her head to escape from it.

This was a person. He was rough and tumble.

This was a person. He couldn't grow a mustache. He never raised hisvoice.

This was a person. He was a trivia master. He wore earphones all the time.

This was a person. She ate a lot of chinese food. She always brought reusable bags into the store.

This was a person. She sang.

This was a person. She threw a lot of parties.

This was a person. He could always get tickets.

This was a person. She kept to herself mostly She always brought reusable bags into the store.

This was a person. He wore a lot of hats.

This was a person. He wore earphones all the time. He did not sleep with a pillow.

This was a person. She could play harmonica. She loved cigarettes.

This was a person. He tutored kids.

This was a person. He was working his way through all of the shows on Netflix. He had braces on his teeth.

This was a person. He dropped his work laptop last week, destroyed it and couldn't sleep for days.

This was a person. He had a hangover yesterday.

This was a person. He was a dog person.

This was a person. He was sort of selfish in bed.

This was a person. She was a tailor.

This was a person. He loved cigarettes.

This was a person. He could juggle.

This was a person. He had a sexy phone voice.

This was a person. She was cockeyed. She loved rollerblading.

This was a person. He was a historian.

This was a person. She only ever had sex with one person.

This was a person. He had a lot of shoes.

This was a person. She didn't have a family. She was sleeping with her ex.

This was a person. She snored.

This was a person. She was playing nine games of Words with Friends on her phone.

This was a person. He had an unfortunate nickname.

This was a person. He was a DJ.

This was a person. He was playing nine games of Words with Friends on his phone.

This was a person. She was learning to speak French.

This was a person. He was a DJ.

This was a person. She loved to make out.

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 constantly wore sunglasses.

This was a person. She was afraid of flying.

This was a person. He was polite to telemarketers.

This was a person. She was sort of selfish in bed.

This was a person. He could juggle.

This was a person. She was a mason. She was working her way through all of the shows on Netflix.

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