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 loved wine. This was a person. He was a scout leader.  This was a person. She ate a lot of raisins. This was a person. He was polite to salesmen. This was a person. She could play cricket. She survived cancer. This was a person. She  was a tailor. This was a person. She ate a lot of hot dogs. This was a person. He was an awful driver. This was a person. She  was awaiting judgement for a DUI last month. This was a person. He wore Spandex. This was a person. He once robbed a bank. This was a person. He had a green thumb. This was a person. She was homophobic. This was a person. He was thrifty. This was a person. She was thrifty. This was a person. He took a lot of photos. This was a person. He had a gun. This was a person. He  loved to make out. This was a person. She had a podcast. This was a person. He constantly wore sunglasses. This was a person. She wore earphones all the time. 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. He  was learning to speak French. This was a person. He ate the food at convenience stores. This was a person. He was a hoarder. He was left-handed. This was a person. She threw a lot of parties. This was a person. He was left-handed. This was a person. She  was a mason. This was a person. He plays fantasy football. This was a person. He chewed nicotine gum. This was a person. She  was a plumber. 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 made pie. He was divorced. This was a person. He was a dog person. This was a person. He spent a lot of time with old people. This was a person. He  was sort of selfish in bed. This was a person. He ate a lot of fish. He snored. This was a person. He was homophobic. This was a person. He was a wedding photographer. This was a person. She ate a lot of kale. This was a person. She was a vegetarian. This was a person. He spent a lot of time with old people. This was a person. He was always in a hurry. This was a person. He was afraid of the water. This was a person. She sang at parties. This was a person. He didn't have a family. He  only ever had sex with one person. This was a person. She  played soccer every weekend. She loved James Bond movies. This was a person. She got out of jail two years ago and never reunited with her family. This was a person. She had a bunch of tattoos. This was a person. She has a suit at the cleaners. This was a person. He had a bunch of cameras. He ate a lot of fiber. This was a person. He looked like a cartoon. He got thrown off of a golf course. This was a person. She always had a clean car. This was a person. She ate the food at convenience stores. She was good to people. This was a person. She grew up on a farm.  This was a person. He loved oreos. This was a person. He  was playing nine games of Words with Friends on  his  phone. He  was a plumber. This was a person. He wore earphones all the time. He did not sleep with a pillow. This was a person. She  was a historian. This was a person. He never ate breakfast. He was lactose intolerant. This was a person. She  was a mason. This was a person. He ate the food at convenience stores. This was a person. She was cockeyed. This was a person. He was a vegetarian. This was a person. She  loved to make out. This was a person. She  had a personal injury lawsuit working its way through the courts. This was a person. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. This was a person. He could fall asleep anywhere. This was a person. She just had  her car stereo repaired. This was a person. She kept to herself mostly This was a person. He  loved to make out. This was a person. He was living with his sister. This was a person. She slept around. She overtipped. This was a person. She can't watch the end of T2 without crying She had braces on  her  teeth. This was a person. He  was a historian. This was a person. He was rebuilding an engine. He could fall asleep anywhere. This was a person. She was lactose intolerant. This was a person. She just had the bandages removed from  plastic surgery. This was a person. He  was a tailor. This was a person. He was homophobic. He ate a lot of kale. This was a person. She could fix anything. This was a person. He was a dog person. This was a person. He had just paid a crapload of money to get    teeth fixed. He loved museums. This was a person. She made scrapbooks. This was a person. He knew a lot of cops. This was a person. She  was training to run a marathon. This was a person. He was rebuilding an engine.

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