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 looked like a cartoon.

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

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

This was a person. She watched a lot of sports on TV, but never played them herself. She was a glassblower.

This was a person. He could play trumpet.

This was a person. He had a podcast.

This was a person. She ate the food at convenience stores.

This was a person. She was the richest of her friends.

This was a person. He was a historian.

This was a person. She was living with her sister.

This was a person. She took a lot of photos.

This was a person. He was gluten intolerant.

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

This was a person. She was polite to salesmen.

This was a person. She was an expert barbecuer.

This was a person. He was a secret Buddahist. He was a wedding photographer.

This was a person. She was divorced.

This was a person. She did not sleep with a pillow.

This was a person. She constantly wore sunglasses. She never drank coffee.

This was a person. She was a mason.

This was a person. He constantly wore sunglasses.

This was a person. He survived cancer.

This was a person. He had been having trouble tying his shoes because he pulled a muscle in his abs.

This was a person. He was 4 days sober.

This was a person. He had braces on his teeth. He was a cat person.

This was a person. He played soccer every weekend.

This was a person. He was gluten intolerant.

This was a person. She could play cricket.

This was a person. She never finished the book club book.

This was a person. She wore bow ties.

This was a person. She plays fantasy football.

This was a person. She looked like a cartoon. She sang at parties.

This was a person. She wore Spandex. She had a green thumb.

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

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

This was a person. She was a historian.

This was a person. He could fix anything.

This was a person. He never carried cash.

This was a person. He picked up litter.

This was a person. She had braces on her teeth.

This was a person. She could fix anything.

This was a person. He always had a clean car. He had crazy hair colors.

This was a person. She was afraid of heights.

This was a person. She watched a lot of sports on TV, but never played them herself.

This was a person. She never carried cash.

This was a person. He was kind of addicted to ebay.

This was a person. He excelled at woodworking.

This was a person. She was good at job interviews.

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

This was a person. She played piano.

This was a person. He had a gun.

This was a person. He wore a lot of jewelry.

This was a person. He tutored kids.

This was a person. He was working his way through all of the shows on Netflix.

This was a person. She wore Spandex. She always had gum.

This was a person. She wore earphones all the time.

This was a person. He played chess.

This was a person. He was gluten intolerant.

This was a person. She just had the bandages removed from plastic surgery. She spends a lot of time watching tennis.

This was a person. She wore Spandex. She has four overdue books.

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

This was a person. He was a drunk. He was rebuilding an engine.

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

This was a person. He was allergic to peanuts.

This was a person. She was a scout leader. She loved museums.

This was a person. He ate a lot of fish. He always had a clean car.

This was a person. She had VD.

This was a person. She loved fine dining.

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

This was a person. He could play harmonica. He slept around.

This was a person. She was learning to use CAD software. She went to church.

This was a person. He had crazy hair colors.

This was a person. She loved Elvis. She was the richest of her friends.

This was a person. She looked like a cartoon.

This was a person. She ate the food at convenience stores. She made scrapbooks.

This was a person. He was rebuilding an engine.

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

This was a person. He wore a lot of hats. He had a green thumb.

This was a person. He wrote for the newspaper.

This was a person. She knew how to get free satelittle television. She was good to people.

This was a person. He did not own a fridge.

This was a person. She always had a clean car. She never finished the book club book.

This was a person. He was a pharmacist.

This was a person. She got thrown off of a golf course.

This was a person. She always made the mashed potatoes at family get-togethers. She had been having trouble tying her shoes because she pulled a muscle in her abs.

This was a person. She was a drunk.

This was a person. She had braces on her teeth.

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