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 sang. This was a person. She  called in sick to work 9 times last month and was written up at work. She  got a terrible haircut a few days ago and shaved  her  head to escape from it. This was a person. He could play harmonica. This was a person. She looked like a cartoon. This was a person. He wore earphones all the time. This was a person. He never carried cash. This was a person. She can't watch the end of T2 without crying This was a person. He was kind of addicted to ebay. This was a person. She was sporty. This was a person. He brought great food to social gatherings. This was a person. She  was a historian. This was a person. She  finished reading all of the works of Homer. This was a person. She  always bought flowers for  her  desk. This was a person. He spent a lot of time with old people. This was a person. She  was a mason. This was a person. He  was a teacher. This was a person. She excelled at woodworking. She always talked about how   she  was going to win the lottery. This was a person. She made  her  own beer and was kind of stingy with it. This was a person. She was sporty. She plays fantasy football. This was a person. He  finished reading all of the works of Homer. This was a person. She was thrifty. This was a person. She  was a mason. She was afraid of the water. This was a person. He took a lot of photos. This was a person. He wore earphones all the time. He was a vegetarian. This was a person. He sang. He was a cheapskate. This was a person. He was a wedding photographer. This was a person. He was a cheapskate. He was an expert barbecuer. This was a person. He always brought lunch. He had a podcast. This was a person. He chewed nicotine gum. This was a person. He didn't get along with animals. This was a person. He was good to people. He didn't give a damn about food. This was a person. He was left-handed. He spends a lot of time watching tennis. This was a person. He just had the bandages removed from  plastic surgery. This was a person. He always brought reusable bags into the store. He sang at parties. This was a person. She wore earphones all the time. This was a person. She led the choir. She had a lot of shoes. This was a person. She sang at parties. This was a person. He  was training to run a marathon. This was a person. She was rebuilding an engine. She was a secret Buddahist. This was a person. He sang. This was a person. He always brought lunch. This was a person. He looked like a cartoon. This was a person. He was working  his  way through all of the shows on Netflix. This was a person. He helped people. He always brought lunch. This was a person. He  was learning to speak French. This was a person. She was a crossword whiz. She wore earphones all the time. This was a person. He had a bunch of tattoos. This was a person. He could fix anything. This was a person. He had a lot of Beatles records. This was a person. She could play trumpet. This was a person. She played piano. This was a person. He played a lot of social card games.  This was a person. She taught guitar. This was a person. She  did open mike. This was a person. She was left-handed. This was a person. She led the choir. This was a person. He tutored kids. This was a person. He never ate breakfast. This was a person. He was always in a hurry. This was a person. She was homophobic. This was a person. He always had a clean car. This was a person. He played chess. He had a tiny wine collection. This was a person. She was a Mac evangelist. She loved to fish. This was a person. She was a cat person. This was a person. He wore earphones all the time. This was a person. He threw a lot of parties. This was a person. He  was sort of selfish in bed. This was a person. He helped strangers. This was a person. She had bonsai trees. She could play trumpet. This was a person. He wore a lot of hats.  This was a person. He  scalped tickets This was a person. He ate a lot of kale. He slept around. This was a person. She survived cancer. This was a person. She constantly wore sunglasses. This was a person. He never carried cash. He loved Elvis. This was a person. She ate a lot of chinese food. This was a person. She could fix anything. This was a person. She wore bow ties. This was a person. She wanted to learn magic. This was a person. She  was playing nine games of Words with Friends on  her  phone. This was a person. She was a wedding photographer. She did not own a fridge. This was a person. He was very good at cleaning. This was a person. He looked like a cartoon. This was a person. He  went to church. This was a person. He had braces on  his  teeth. This was a person. She led the choir. She smoked pot at music festivals. This was a person. He watched a lot of sports on TV, but never played them  himself.

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