The Happy Land Fire 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: The Happy Land Fire: 1990

87 Dead Men and Women

The Happy Land fire was an arson fire that killed 87 people trapped in an unlicensed social club, 1990.

This was a person. She could always get tickets.

This was a person. She sang at parties.

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

This was a person. He was left-handed.

This was a person. She played World of Warcraft

This was a person. He made pie.

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

This was a person. She loved Elvis.

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

This was a person. She was a trivia master.

This was a person. She loved to make out.

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

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

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

This was a person. She had a gun. She never raised hervoice.

This was a person. She was a hoarder.

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

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

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 was kind of an awesome lover.

This was a person. He was a secret Buddahist.

This was a person. She could always get tickets.

This was a person. She helped strangers. She fixed bikes.

This was a person. He could always get tickets.

This was a person. She was a dog person.

This was a person. He was a dog person.

This was a person. She had tropical fish.

This was a person. He always brought lunch.

This was a person. He was homophobic.

This was a person. She was a Mac evangelist. She constantly wore sunglasses.

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 James Bond movies. He was kind of addicted to ebay.

This was a person. He had a green thumb.

This was a person. He could juggle.

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

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 was afraid of heights.

This was a person. He was a cat person.

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

This was a person. She was a cat person.

This was a person. She wore a lot of jewelry. She had tropical fish.

This was a person. He was a street vendor.

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

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

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

This was a person. He never finished the book club book. He was a scout leader.

This was a person. She was a hoarder.

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

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

This was a person. He chewed nicotine gum.

This was a person. He was a teacher.

This was a person. He had braces on his teeth. He was a secret Buddahist.

This was a person. He overtipped.

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

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

This was a person. He survived cancer.

This was a person. She was an expert barbecuer.

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

This was a person. She had a lot of Beatles records. She had tropical fish.

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

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

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

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

This was a person. She was thrifty. She could play trumpet.

This was a person. She loved cigarettes.

This was a person. He had a twin.

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

This was a person. He was a cat person.

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

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

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

This was a person. He was polite to salesmen.

This was a person. He made pie. He never ate breakfast.

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

This was a person. She was a wedding photographer.

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

This was a person. He did open mike.

This was a person. He was a DJ.

This was a person. She occasionally shop lifted.

This was a person. She was a glassblower.

This was a person. He was afraid of heights. He played piano.

This was a person. He was polite to telemarketers.

This was a person. She could always get tickets.

This was a person. He never raised hisvoice. He threw a lot of parties.

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

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

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