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. He had a gun.

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

This was a person. She was a wedding photographer. She loved wine.

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

This was a person. He was a pharmacist. He was a crossword whiz.

This was a person. She was a wedding photographer. She could juggle.

This was a person. He has two living parents. He collected figurines.

This was a person. She once robbed a bank.

This was a person. She had a hangover yesterday. She was kind of an awesome lover.

This was a person. He could play trumpet. He ate a lot of chinese food.

This was a person. She was a tailor.

This was a person. He survived cancer.

This was a person. She was afraid of flying. She was a poet.

This was a person. She was a poet.

This was a person. She made her own beer and was kind of stingy with it. She never carried cash.

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

This was a person. He played soccer every weekend.

This was a person. She was polite to telemarketers. She always wore a hat.

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

This was a person. She could play trumpet.

This was a person. She prefered bread without crusts.

This was a person. He had a twin.

This was a person. He played soccer every weekend.

This was a person. She never carried cash.

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

This was a person. She was an awful driver.

This was a person. She was 4 days sober.

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

This was a person. He got out of jail two years ago and never reunited with his family. He called in sick to work 9 times last month and was written up at work.

This was a person. She excelled at woodworking. She loved MASH.

This was a person. She was sleeping with her ex.

This was a person. She was a teacher.

This was a person. He could fall asleep anywhere. He taught guitar.

This was a person. She wore Spandex.

This was a person. She loved Elvis.

This was a person. She ate a lot of kale. She looked like a cartoon.

This was a person. He got a terrible haircut a few days ago and shaved his head to escape from it. He played soccer every weekend.

This was a person. She could fix anything.

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

This was a person. She was sporty. She spends a lot of time watching tennis.

This was a person. He looked like a cartoon.

This was a person. She loved Elvis. She constantly wore sunglasses.

This was a person. He chewed gum constantly.

This was a person. She had a baby boy.

This was a person. He had extensions.

This was a person. She constantly wore sunglasses. She kept to herself mostly

This was a person. She wanted to learn magic.

This was a person. She was a glassblower.

This was a person. He was a secret Buddahist.

This was a person. She went to the horseraces.

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

This was a person. She never carried cash. She was the richest of her friends.

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

This was a person. He never raised hisvoice.

This was a person. She was a Mac evangelist.

This was a person. She has four overdue books.

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

This was a person. He loved to fish. He had a podcast.

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

This was a person. She always wore a hat.

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

This was a person. He had a lot of Beatles records.

This was a person. He had a lot of Beatles records.

This was a person. She was afraid of heights.

This was a person. He survived cancer.

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

This was a person. He was a dog person.

This was a person. She had bonsai trees.

This was a person. He spends a lot of time watching tennis.

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

This was a person. He grew up on a farm. He plays fantasy football.

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

This was a person. She loved wine. She was very good at cleaning.

This was a person. She wore bow ties.

This was a person. She went to church.

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

This was a person. He wrote for the newspaper.

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

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

This was a person. She was a skilled woodcarver. She was a vegetarian.

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

This was a person. She was a teacher.

This was a person. He was a pharmacist.

This was a person. She always wore a hat.

This was a person. He kept to himself mostly

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

This was a person. She had a twin. She was a virgin.

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