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 took a lot of photos. He never drank coffee. This was a person. She once robbed a bank. This was a person. She wore Spandex. This was a person. He was rebuilding an engine. This was a person. He was sporty. He got thrown off of a golf course. This was a person. He plays fantasy football. He excelled at woodworking. This was a person. She never drank coffee. This was a person. He was gluten intolerant. This was a person. She just had the bandages removed from  plastic surgery. This was a person. He  had a hangover yesterday. This was a person. He  was a DJ. This was a person. She was gluten intolerant. This was a person. She was a secret Buddahist. This was a person. She  only ever had sex with one person. This was a person. He never carried cash. This was a person. She had extensions. This was a person. He  was awaiting judgement for a DUI last month. This was a person. She loved cigarettes. This was a person. She ate a lot of kale. This was a person. She  was training to run a marathon. This was a person. He was rebuilding an engine. This was a person. He  was a virgin. This was a person. She  collected figurines. She  had VD. This was a person. She  called in sick to work 9 times last month and was written up at work. This was a person. She just had the bandages removed from  plastic surgery. This was a person. He  was awaiting judgement for a DUI last month. This was a person. She  was a tailor. She was afraid of heights. This was a person. He didn't get along with animals. He played a lot of social card games.  This was a person. She was afraid of the water. This was a person. He  was learning to use CAD software. He  could always get tickets. This was a person. She  had been having trouble tying  her shoes because  she  pulled a muscle in her abs. This was a person. She could play harmonica. This was a person. She  was playing nine games of Words with Friends on  her  phone. She loved James Bond movies. This was a person. She was a scout leader.  This was a person. She wore Spandex. This was a person. He had a lot of shoes. This was a person. He  was a street vendor. This was a person. She never carried cash. This was a person. She  was a teacher. This was a person. He got out of jail two years ago and never reunited with his family. This was a person. She had an awesome home theatre. This was a person. She plays fantasy football. She never answered the phone. This was a person. She wore a lot of hats.  She wore bow ties. This was a person. He could juggle. This was a person. She was a Mac evangelist. 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 a trivia master. This was a person. She was a scout leader.  This was a person. He  always bought flowers for  his  desk. He  was a historian. This was a person. She always wore a hat. This was a person. He was cockeyed. This was a person. She just had  her car stereo repaired. She loved Elvis. This was a person. He was a wedding photographer. This was a person. He was 4 days sober. This was a person. She was a good dancer. This was a person. He didn't get along with animals. He spends a lot of time watching tennis. This was a person. He spends a lot of time watching tennis. He played guitar on the streets for money. This was a person. He led the choir. This was a person. He was a hoarder. He played a lot of social card games.  This was a person. She has a suit at the cleaners. She had a lot of music on vinyl. This was a person. She  was a pharmacist. She just had  her car stereo repaired. This was a person. He helped people. He ate a lot of fish. This was a person. He knew how to get free satelittle television. This was a person. He was the unofficial relationship guru among   friends. This was a person. She got thrown off of a golf course. She excelled at woodworking. This was a person. She always had gum. This was a person. He had a lot of Beatles records. This was a person. He had a baby boy. He  volunteered at a middle school, because  he  had a crush on one of the other tutors. This was a person. She  was a historian. This was a person. She had an unfortunate nickname. She wore bow ties. This was a person. She played piano. She loved oreos. This was a person. He went to the horseraces. This was a person. She taught guitar. This was a person. He loved to fish. He was a dog person. This was a person. She ate a lot of raisins. This was a person. He went to the horseraces. This was a person. He did not sleep with a pillow. This was a person. He was 4 days sober. This was a person. She just had  her car stereo repaired. This was a person. He never ate breakfast. This was a person. He tutored kids. This was a person. He loved Elvis. This was a person. She made pie. This was a person. She  was a virgin. This was a person. He played a lot of social card games.  This was a person. He was lactose intolerant. This was a person. She  was training to run a marathon. She  dropped her work laptop last week, destroyed it and couldn't sleep for days.

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