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 spends a lot of time watching tennis. She once robbed a bank.

This was a person. He could fall asleep anywhere. He loved oreos.

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

This was a person. He got out of jail two years ago and never reunited with his family. He kept buying vegetables, even though they always just went bad in his fridge.

This was a person. He went to the horseraces. He excelled at woodworking.

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

This was a person. She loved pot.

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

This was a person. He made scrapbooks.

This was a person. She played chess.

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

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

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

This was a person. He was playing nine games of Words with Friends on his phone.

This was a person. He could play harmonica. He was a good dancer.

This was a person. She always had gum.

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

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

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

This was a person. He had a podcast.

This was a person. He was a Mac evangelist.

This was a person. He was polite to salesmen.

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

This was a person. He was a good dancer. He loved fine dining.

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

This was a person. He looked like a cartoon.

This was a person. She has two living parents.

This was a person. She loved James Bond movies. She helped people.

This was a person. She always had gum.

This was a person. She was a good dancer.

This was a person. She was a translator.

This was a person. He got out of jail two years ago and never reunited with his family.

This was a person. She was a wedding photographer.

This was a person. She always had a clean car.

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

This was a person. He was polite to salesmen. He wore Spandex.

This was a person. She was training to run a marathon.

This was a person. She never carried cash.

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

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

This was a person. She always had gum. She knew how to get free satelittle television.

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

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

This was a person. She was a pharmacist. She was rebuilding an engine.

This was a person. She loved to fish.

This was a person. He had a lot of Beatles records. He brought great food to social gatherings.

This was a person. He wrote for the newspaper.

This was a person. She chewed nicotine gum. She was a loner.

This was a person. He went to the horseraces.

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

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

This was a person. She overtipped.

This was a person. He knew how to get free satelittle television. He was convinced he was color blind.

This was a person. She slept around. She was a cheapskate.

This was a person. He could play trumpet.

This was a person. He loved to fish. He always brought lunch.

This was a person. She was a tailor.

This was a person. She could fix anything.

This was a person. She had bonsai trees. She was polite to telemarketers.

This was a person. She was very careful about conserving gasoline.

This was a person. He loved oreos. He could play cricket.

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

This was a person. She always brought reusable bags into the store. She always had gum.

This was a person. She had a twin.

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

This was a person. He played soccer every weekend.

This was a person. She loved cigarettes.

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

This was a person. He loved nachos.

This was a person. She loved nachos.

This was a person. He couldn't grow a mustache. He had a lot of music on vinyl.

This was a person. She chewed nicotine gum.

This was a person. She had bonsai trees. She could play banjo.

This was a person. He scalped tickets

This was a person. He sang at parties.

This was a person. She played World of Warcraft

This was a person. She was a vegetarian.

This was a person. He once robbed a bank.

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

This was a person. She scalped tickets

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

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

This was a person. He played piano.

This was a person. She could always get tickets.

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

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

This was a person. She was 4 days sober.

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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