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 loved chocolate.

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

This was a person. She played chess.

This was a person. She was divorced.

This was a person. He was a crossword whiz. He loved James Bond movies.

This was a person. He played piano.

This was a person. She never finished the book club book.

This was a person. He never drank coffee. He loved wine.

This was a person. He helped people.

This was a person. He had been having trouble tying his shoes because he pulled a muscle in his abs. He was a virgin.

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

This was a person. She was a teacher. She played soccer every weekend.

This was a person. She ate a lot of hot dogs. She never finished the book club book.

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

This was a person. She was rebuilding an engine.

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

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

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

This was a person. He was a scout leader.

This was a person. He loved oreos.

This was a person. She had extensions.

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

This was a person. She had been having trouble tying her shoes because she pulled a muscle in her abs. She was a mason.

This was a person. She talked during movies.

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

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

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

This was a person. He was afraid of the water. He talked during movies.

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

This was a person. He occasionally shop lifted.

This was a person. He could play trumpet. He was very careful about conserving gasoline.

This was a person. He tutored kids.

This was a person. He chewed nicotine gum. He was going blind.

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

This was a person. She ate a lot of kale.

This was a person. She had just paid a crapload of money to get teeth fixed.

This was a person. He was polite to salesmen.

This was a person. He had a twin.

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

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

This was a person. She slept around.

This was a person. She was living with her sister. She had been having trouble tying her shoes because she pulled a muscle in her abs.

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

This was a person. He had a hangover yesterday. He was awaiting judgement for a DUI last month.

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

This was a person. He was polite to telemarketers.

This was a person. She played soccer every weekend. She had a lot of music on vinyl.

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

This was a person. She was thrifty.

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

This was a person. He had a twin.

This was a person. He had a sexy phone voice. He never tried gin.

This was a person. He volunteered at a middle school, because he had a crush on one of the other tutors.

This was a person. He occasionally shop lifted.

This was a person. He had been having trouble tying his shoes because he pulled a muscle in his abs. He scalped tickets

This was a person. She loved oreos. She ate a lot of fish.

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

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

This was a person. He smoked pot at music festivals. He fed the birds.

This was a person. She was the richest of her friends.

This was a person. He abused cars.

This was a person. He got out of jail two years ago and never reunited with his family. He had VD.

This was a person. She had VD. She was afraid of heights.

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

This was a person. He always brought lunch.

This was a person. She was good to people.

This was a person. She loved chocolate. She sang at parties.

This was a person. She was learning to use CAD software.

This was a person. She loved oreos. She was gluten intolerant.

This was a person. He looked like a cartoon.

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. She had an awesome home theatre.

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

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

This was a person. She sang at parties.

This was a person. She constantly wore sunglasses.

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 never carried cash.

This was a person. She taught guitar.

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

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

This was a person. She was polite to telemarketers.

This was a person. She was divorced. She could play banjo.

This was a person. She was a wedding photographer.

This was a person. She got out of jail two years ago and never reunited with her family.

This was a person. He had bonsai trees. He loved chocolate.

This was a person. She played World of Warcraft She spent a lot of time with old people.

This was a person. He wanted to learn magic. He was very careful about conserving gasoline.

This was a person. She was a dog person. She never ate breakfast.

This was a person. She was kind of an awesome lover. She was a crossword whiz.

This was a person. She could juggle.

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

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

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

This was a person. He was a virgin.

This was a person. She loved to fish.

This was a person. She wore bow ties.

This was a person. She could play cricket.

This was a person. He was homophobic.

This was a person. He was a street vendor.

This was a person. She was the unofficial relationship guru among friends. She wore a lot of hats.

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

This was a person. He excelled at woodworking.

This was a person. She was a dog person.

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

This was a person. She was sporty.

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

This was a person. He was rebuilding an engine.

This was a person. She kept buying vegetables, even though they always just went bad in her fridge.

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

This was a person. She led the choir. She had a sexy phone voice.

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 made scrapbooks.

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

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

This was a person. He was a glassblower.

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

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

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

This was a person. He always brought reusable bags into the store. He grew up on a farm.

This was a person. He had a twin.

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

This was a person. He was a Mac evangelist.

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

This was a person. She occasionally shop lifted.

This was a person. She was kind of an awesome lover.

This was a person. She was a good dancer. She slept around.

This was a person. He was gluten intolerant. He loved chocolate.

This was a person. She always brought reusable bags into the store.

This was a person. She had a gun.

This was a person. He loved chocolate. He didn't get along with animals.

This was a person. He knew how to get free satelittle television. He loved museums.

This was a person. He was gluten intolerant.

This was a person. She knew a lot of cops.

This was a person. She was a street vendor.

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

This was a person. He had a hangover yesterday. He kept buying vegetables, even though they always just went bad in his fridge.

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

This was a person. She was cockeyed. She smoked pot at music festivals.

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

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

This was a person. She was good to people. She has a music afficianado.

This was a person. He was afraid of heights.

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

This was a person. She had just paid a crapload of money to get teeth fixed.

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

This was a person. She could play harmonica.

This was a person. He made pie. He chewed gum constantly.

This was a person. He was kind of an awesome lover.

This was a person. He never carried cash.

This was a person. She was a drunk. She had braces on her teeth.

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

This was a person. She could play harmonica.

This was a person. She was polite to telemarketers.

This was a person. She played piano. She was a vegetarian.

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

This was a person. He played World of Warcraft

This was a person. He could fall asleep anywhere.

This was a person. She loved nachos.

This was a person. She was 4 days sober.

This was a person. He was gluten intolerant. He always had a clean car.

This was a person. She kept buying vegetables, even though they always just went bad in her fridge. She scalped tickets

This was a person. She was a wedding photographer.

This was a person. He was a pharmacist.

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

This was a person. He was thrifty.

This was a person. She had crazy hair colors.

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

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

This was a person. She was a dog person.

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

This was a person. He had a lot of music on vinyl.

This was a person. She was a vegetarian.

This was a person. She survived cancer.

This was a person. She played chess.

This was a person. He had a bunch of cameras. He was polite to telemarketers.

This was a person. She volunteered at a middle school, because she had a crush on one of the other tutors.

This was a person. He volunteered at a middle school, because he had a crush on one of the other tutors.

This was a person. She was lactose intolerant.

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

This was a person. He loved James Bond movies.

This was a person. He loved nachos. He always wore a hat.

This was a person. She was lactose intolerant.

This was a person. She had a baby boy.

This was a person. She had been having trouble tying her shoes because she pulled a muscle in her abs. She only ever had sex with one person.

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

This was a person. She was a translator.

This was a person. She knew how to get free satelittle television.

This was a person. He did not own a fridge.

This was a person. He played chess. He played guitar on the streets for money.

This was a person. He could fall asleep anywhere.

This was a person. She never finished the book club book. She wore a lot of hats.

This was a person. He was learning to use CAD software.

This was a person. He made scrapbooks. He was going blind.

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

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

This was a person. She could play harmonica.

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

This was a person. He overtipped.

This was a person. She was 4 days sober.

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

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

This was a person. He did open mike.

This was a person. He was a DJ.

This was a person. She was gluten intolerant.

This was a person. She has two living parents.

This was a person. She was a DJ.

This was a person. She loved cigarettes.

This was a person. He had crazy hair colors.

This was a person. He had an awesome home theatre. He always brought lunch.

This was a person. She just had her car stereo repaired.

This was a person. He couldn't grow a mustache.

This was a person. He loved fine dining.

This was a person. He was awaiting judgement for a DUI last month. He was a poet.

This was a person. He smoked pot at music festivals. He didn't give a damn about food.

This was a person. She did open mike. She was always in a hurry.

This was a person. She was a skilled woodcarver.

This was a person. She helped strangers.

This was a person. She loved wine.

This was a person. He talked during movies.

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

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. He ate a lot of kale.

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

This was a person. She kept buying vegetables, even though they always just went bad in her fridge.

This was a person. He lived on breakfast bars.

This was a person. She has two living parents.

This was a person. She had a lot of music on vinyl. She lived on breakfast bars.

This was a person. He didn't get along with animals.

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

This was a person. She did open mike.

This was a person. He was allergic to peanuts.

This was a person. She wore bow ties.

This was a person. She was a trivia master.

This was a person. She was polite to salesmen.

This was a person. He played soccer every weekend. He had a bunch of tattoos.

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

This was a person. He had a gun.

This was a person. She was a street vendor.

This was a person. She excelled at woodworking.

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

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

This was a person. She just had her car stereo repaired. She could fix anything.

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

This was a person. She was a cat person.

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

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

This was a person. He volunteered at a middle school, because he had a crush on one of the other tutors.

This was a person. He always brought lunch.

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

This was a person. He was an expert barbecuer.

This was a person. He knew a lot of cops. He was divorced.

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

This was a person. He was a cheapskate.

This was a person. She was a vegetarian.

This was a person. He had long fingernails.

This was a person. He had VD.

This was a person. He could always get tickets.

This was a person. He chewed nicotine gum.

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

This was a person. She was a hoarder.

This was a person. She was a crossword whiz.

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

This was a person. She was awaiting judgement for a DUI last month.

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

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

This was a person. She loved James Bond movies.

This was a person. He grew up on a farm. He got thrown off of a golf course.

This was a person. He kept to himself mostly

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

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