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 had a hangover yesterday.

This was a person. He was living with his sister. He loved to make out.

This was a person. He played soccer every weekend.

This was a person. She was sleeping with her ex.

This was a person. She was afraid of heights.

This was a person. She occasionally shop lifted.

This was a person. She had a lot of shoes.

This was a person. She couldn't grow a mustache.

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

This was a person. He can't watch the end of T2 without crying

This was a person. He could always get tickets.

This was a person. He loved to make out.

This was a person. He was a vegetarian.

This was a person. He smoked pot at music festivals.

This was a person. She couldn't grow a mustache. She watched a lot of sports on TV, but never played them herself.

This was a person. He excelled at woodworking. He couldn't swim.

This was a person. He dropped his work laptop last week, destroyed it and couldn't sleep for days.

This was a person. She always bought flowers for her desk.

This was a person. She knew a lot of cops. She always brought lunch.

This was a person. She wrote for the newspaper. She kept to herself mostly

This was a person. She picked up litter.

This was a person. He ate a lot of raisins.

This was a person. She was a virgin. She scalped tickets

This was a person. She smoked pot at music festivals.

This was a person. He was a hoarder.

This was a person. She made pie. She kept to herself mostly

This was a person. He was a drunk.

This was a person. She ate a lot of fish. She could play trumpet.

This was a person. He took careful notes after every meal.

This was a person. He was a wedding photographer. He was good at job interviews.

This was a person. He was living with his sister. He had VD.

This was a person. He called in sick to work 9 times last month and was written up at work.

This was a person. He was a glassblower. He could play trumpet.

This was a person. She was a drunk.

This was a person. She ate a lot of fiber.

This was a person. She could play trumpet.

This was a person. He could juggle.

This was a person. He was homophobic.

This was a person. He was lactose intolerant. He always brought reusable bags into the store.

This was a person. He had crazy hair colors.

This was a person. She was a hoarder.

This was a person. He was sporty. He wore a lot of hats.

This was a person. He had just paid a crapload of money to get teeth fixed.

This was a person. He always had gum.

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

This was a person. He was a glassblower.

This was a person. She had an unfortunate nickname.

This was a person. He wore bow ties. He loved MASH.

This was a person. He was a historian. He had a bunch of tattoos.

This was a person. He prefered bread without crusts.

This was a person. He plays fantasy football.

This was a person. She excelled at woodworking.

This was a person. He could fall asleep anywhere.

This was a person. She smoked pot at music festivals. She was going blind.

This was a person. He smoked pot at music festivals.

This was a person. She was a street vendor.

This was a person. He always wore a hat.

This was a person. She was a skilled woodcarver.

This was a person. She loved Elvis.

This was a person. She did open mike.

This was a person. He loved nachos.

This was a person. She never carried cash. She did not sleep with a pillow.

This was a person. He was a plumber.

This was a person. He had a baby boy.

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

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

This was a person. He has two living parents.

This was a person. He loved James Bond movies.

This was a person. He had VD.

This was a person. She loved Elvis. She never raised hervoice.

This was a person. She loved fine dining.

This was a person. She wrote for the newspaper.

This was a person. He loved to fish.

This was a person. He loved to make out. He was a historian.

This was a person. She could fall asleep anywhere.

This was a person. He could play banjo.

This was a person. He was a historian.

This was a person. He was training to run a marathon. He kept buying vegetables, even though they always just went bad in his fridge.

This was a person. She dropped her work laptop last week, destroyed it and couldn't sleep for days.

This was a person. She wore bow ties.

This was a person. He threw a lot of parties.

This was a person. He was good to people.

This was a person. He was afraid of heights. He loved Elvis.

This was a person. He was afraid of flying. He was learning to use CAD software.

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

This was a person. She wrote for the newspaper. She never ate breakfast.

This was a person. He chewed nicotine gum.

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