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 could fall asleep anywhere.

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

This was a person. She loved fine dining.

This was a person. He was a virgin.

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

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. She wore a lot of hats.

This was a person. He was learning to use CAD software.

This was a person. She snored.

This was a person. He once robbed a bank.

This was a person. She ate a lot of chinese food. She always brought reusable bags into the store.

This was a person. She was gluten intolerant.

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

This was a person. He slept around. He just had the bandages removed from his plastic surgery.

This was a person. She prefered bread without crusts. She was very good at cleaning.

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

This was a person. He played piano. He was a dog person.

This was a person. He had a hangover yesterday.

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

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 played chess.

This was a person. He always brought lunch. He could play harmonica.

This was a person. She was divorced.

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

This was a person. He had long fingernails.

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

This was a person. He had a bunch of cameras.

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

This was a person. She talked during movies.

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

This was a person. She grew up on a farm. She had a lot of shoes.

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

This was a person. He was a secret Buddahist.

This was a person. He had a sexy phone voice.

This was a person. He had long fingernails.

This was a person. He had crazy hair colors.

This was a person. She ate the food at convenience stores. She had a lot of shoes.

This was a person. She never carried cash.

This was a person. She was a wedding photographer.

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

This was a person. He knew a lot of cops.

This was a person. He had braces on his teeth. He was a skilled woodcarver.

This was a person. He had a twin.

This was a person. She always made the mashed potatoes at family get-togethers.

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

This was a person. She was a virgin.

This was a person. He made his own beer and was kind of stingy with it.

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

This was a person. He tutored kids. He played World of Warcraft

This was a person. He never finished the book club book. He had extensions.

This was a person. He was a hoarder.

This was a person. She played piano.

This was a person. He was a crossword whiz.

This was a person. He was a cheapskate.

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

This was a person. She had a gun. She always brought lunch.

This was a person. He played World of Warcraft

This was a person. She helped strangers.

This was a person. He was a cheapskate.

This was a person. She has a suit at the cleaners. She had a gun.

This was a person. He made pie.

This was a person. He was a wedding photographer. He loved wine.

This was a person. She snored.

This was a person. He always had gum.

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

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

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

This was a person. She wore bow ties.

This was a person. He loved nachos. He sang.

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

This was a person. He constantly wore sunglasses.

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

This was a person. She was a Mac evangelist.

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

This was a person. She did open mike. She had braces on her teeth.

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

This was a person. She lived on breakfast bars.

This was a person. He could play banjo. He was the unofficial relationship guru among his friends.

This was a person. He scalped tickets

This was a person. He was cockeyed. He chewed nicotine gum.

This was a person. She was polite to telemarketers. She always had a clean car.

This was a person. She was lactose intolerant.

This was a person. He was very good at cleaning. He grew up on a farm.

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

This was a person. He just had his car stereo repaired.

This was a person. He had a personal injury lawsuit working its way through the courts.

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

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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