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. He loved wine.

This was a person. He was a scout leader.

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

This was a person. He was polite to salesmen.

This was a person. She could play cricket. She survived cancer.

This was a person. She was a tailor.

This was a person. She ate a lot of hot dogs.

This was a person. He was an awful driver.

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

This was a person. He wore Spandex.

This was a person. He once robbed a bank.

This was a person. He had a green thumb.

This was a person. She was homophobic.

This was a person. He was thrifty.

This was a person. She was thrifty.

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

This was a person. He had a gun.

This was a person. He loved to make out.

This was a person. She had a podcast.

This was a person. He constantly wore sunglasses.

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

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. He was learning to speak French.

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

This was a person. He was a hoarder. He was left-handed.

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

This was a person. He was left-handed.

This was a person. She was a mason.

This was a person. He plays fantasy football.

This was a person. He chewed nicotine gum.

This was a person. She was a plumber.

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. He made pie. He was divorced.

This was a person. He was a dog person.

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

This was a person. He was sort of selfish in bed.

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

This was a person. He was homophobic.

This was a person. He was a wedding photographer.

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

This was a person. She was a vegetarian.

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

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

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

This was a person. She sang at parties.

This was a person. He didn't have a family. He only ever had sex with one person.

This was a person. She played soccer every weekend. She loved James Bond movies.

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

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

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

This was a person. He had a bunch of cameras. He ate a lot of fiber.

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

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

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

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

This was a person. He loved oreos.

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

This was a person. He wore earphones all the time. He did not sleep with a pillow.

This was a person. She was a historian.

This was a person. He never ate breakfast. He was lactose intolerant.

This was a person. She was a mason.

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

This was a person. She was cockeyed.

This was a person. He was a vegetarian.

This was a person. She loved to make out.

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

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

This was a person. He could fall asleep anywhere.

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

This was a person. She kept to herself mostly

This was a person. He loved to make out.

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

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

This was a person. She can't watch the end of T2 without crying She had braces on her teeth.

This was a person. He was a historian.

This was a person. He was rebuilding an engine. He could fall asleep anywhere.

This was a person. She was lactose intolerant.

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

This was a person. He was a tailor.

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

This was a person. She could fix anything.

This was a person. He was a dog person.

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

This was a person. She made scrapbooks.

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

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

This was a person. He was rebuilding an engine.

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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