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 was good to people. She had a tiny wine collection.

This was a person. He was divorced. He never drank coffee.

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

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

This was a person. She was good to people. She was convinced he was color blind.

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

This was a person. She was a poet. She was rebuilding an engine.

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 wore bow ties.

This was a person. She loved to make out. She was a plumber.

This was a person. He taught guitar.

This was a person. He snored.

This was a person. She was a secret Buddahist. She ate a lot of fish.

This was a person. He loved James Bond movies.

This was a person. He was a good dancer.

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

This was a person. She plays fantasy football. She was a loner.

This was a person. He loved James Bond movies.

This was a person. She loved pot.

This was a person. She loved wine. She had extensions.

This was a person. He grew up on a farm. He went to the horseraces.

This was a person. She was a teacher.

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

This was a person. She constantly wore sunglasses.

This was a person. She loved nachos.

This was a person. He ate a lot of chinese food.

This was a person. She was afraid of heights.

This was a person. She played soccer every weekend.

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

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

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

This was a person. She was afraid of the water. She had tropical fish.

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

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

This was a person. He had a personal injury lawsuit working its way through the courts. He just had his car stereo repaired.

This was a person. He excelled at woodworking.

This was a person. She had extensions.

This was a person. He was sleeping with his ex. He did open mike.

This was a person. She played soccer every weekend.

This was a person. He never carried cash. He played piano.

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

This was a person. She had a lot of shoes. She was obsessed with sitcoms.

This was a person. She was a vegetarian.

This was a person. She was a crossword whiz.

This was a person. He played soccer every weekend. He was an awful driver.

This was a person. She played piano. She had tropical fish.

This was a person. She always had a clean car. She always had gum.

This was a person. He could juggle.

This was a person. He always brought lunch.

This was a person. He smoked pot at music festivals. He contributed to a nearby homeless shelter.

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

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

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

This was a person. He could always get tickets.

This was a person. She was an awful driver.

This was a person. She was lactose intolerant.

This was a person. He went to church. He has a suit at the cleaners.

This was a person. She snored.

This was a person. He had bonsai trees.

This was a person. He was homophobic. He could juggle.

This was a person. He wanted to learn magic.

This was a person. She was a cheapskate. She occasionally shop lifted.

This was a person. He taught guitar. He kept to himself mostly

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

This was a person. She loved to fish.

This was a person. He prefered bread without crusts.

This was a person. She was a translator.

This was a person. She ate a lot of chinese food.

This was a person. She never carried cash.

This was a person. He could fix anything. He was divorced.

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

This was a person. He has four overdue books.

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 could juggle. He loved chocolate.

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

This was a person. He loved to fish.

This was a person. She was rebuilding an engine.

This was a person. She was polite to telemarketers. She slept around.

This was a person. She was a translator. She did open mike.

This was a person. She was a street vendor.

This was a person. She played World of Warcraft

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

This was a person. He was an awful driver.

This was a person. She did open mike.

This was a person. He was allergic to peanuts.

This was a person. He had bonsai trees.

This was a person. She was a scout leader.

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