The Happy Land Fire Tragedy Casualties Visualization Tool - Cockeyed.com

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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 spent a lot of time with old people.

This was a person. She helped people.

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

This was a person. He plays fantasy football.

This was a person. He loved oreos.

This was a person. He taught guitar. He was thrifty.

This was a person. She played soccer every weekend.

This was a person. She was 4 days sober.

This was a person. He always had a clean car. He was sporty.

This was a person. She just had her car stereo repaired.

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

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

This was a person. He was the unofficial relationship guru among friends.

This was a person. He finished reading all of the works of Homer.

This was a person. She went to church.

This was a person. She led the choir. She had just paid a crapload of money to get teeth fixed.

This was a person. He loved Elvis.

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

This was a person. She was rebuilding an engine.

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

This was a person. He was a virgin.

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

This was a person. She did not own a fridge. She was cockeyed.

This was a person. She was thrifty. She never drank coffee.

This was a person. She loved to make out. She was always in a hurry.

This was a person. He slept around.

This was a person. He was good to people.

This was a person. She slept around.

This was a person. She could always get tickets.

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

This was a person. She wrote for the newspaper.

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

This was a person. He knew how to get free satelittle television.

This was a person. She made scrapbooks. She had a sexy phone voice.

This was a person. She wore a lot of hats.

This was a person. She made scrapbooks.

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

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

This was a person. He chewed gum constantly. He was lactose intolerant.

This was a person. She prefered bread without crusts.

This was a person. She just had the bandages removed from plastic surgery.

This was a person. She was a trivia master.

This was a person. She was a DJ.

This was a person. She was left-handed.

This was a person. She was a Mac evangelist.

This was a person. He played chess.

This was a person. He had a hangover yesterday.

This was a person. She brought great food to social gatherings.

This was a person. She always wore a hat.

This was a person. She was a tailor.

This was a person. He was good at job interviews. He ate a lot of raisins.

This was a person. She loved James Bond movies.

This was a person. He loved fine dining.

This was a person. He tutored kids.

This was a person. He was the richest of his friends.

This was a person. He collected figurines.

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

This was a person. He was a cat person.

This was a person. She got a terrible haircut a few days ago and shaved her head to escape from it.

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

This was a person. He wore Spandex.

This was a person. She didn't get along with animals. She abused cars.

This was a person. He kept to himself mostly He was polite to salesmen.

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

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. She ate a lot of fiber.

This was a person. She could fall asleep anywhere. She taught guitar.

This was a person. She had a bunch of tattoos.

This was a person. He was afraid of flying.

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

This was a person. He loved wine. He didn't get along with animals.

This was a person. She was divorced.

This was a person. She loved James Bond movies.

This was a person. She was allergic to peanuts.

This was a person. She played World of Warcraft

This was a person. She could play cricket.

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

This was a person. She loved pot.

This was a person. She didn't get along with animals.

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

This was a person. He was gluten intolerant.

This was a person. She scalped tickets She was working her way through all of the shows on Netflix.

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

This was a person. He loved fine dining.

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 very good at cleaning. He loved fine dining.

This was a person. She could fall asleep anywhere.

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.

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