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 slept around.

This was a person. She was afraid of heights.

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

This was a person. She was a wedding photographer.

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 overtipped.

This was a person. She always had gum.

This was a person. He had a green thumb.

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

This was a person. He was a teacher. He was an awful driver.

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

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

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

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

This was a person. She kept buying vegetables, even though they always just went bad in her fridge.

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

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

This was a person. She loved nachos.

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

This was a person. She sang. She survived cancer.

This was a person. She was a Mac evangelist. She did not sleep with a pillow.

This was a person. He was a cat person.

This was a person. She had crazy hair colors.

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

This was a person. He talked during movies.

This was a person. She had a lot of music on vinyl.

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

This was a person. He has two living parents.

This was a person. He was a plumber.

This was a person. He was a historian.

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

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

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

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

This was a person. She had a gun.

This was a person. He was a crossword whiz.

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

This was a person. He could fall asleep anywhere.

This was a person. He had a gun.

This was a person. She was a vegetarian.

This was a person. She made scrapbooks.

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

This was a person. She was gluten intolerant. She could play cricket.

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

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

This was a person. He played a lot of social card games.

This was a person. He didn't have a family. He was training to run a marathon.

This was a person. She once robbed a bank. She had a tiny wine collection.

This was a person. He was afraid of heights.

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

This was a person. She made her own beer and was kind of stingy with it. She talked during movies.

This was a person. He could always get tickets. He was rebuilding an engine.

This was a person. He always bought flowers for his desk.

This was a person. He was afraid of heights.

This was a person. He could play cricket. He was polite to salesmen.

This was a person. He was a teacher.

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

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

This was a person. He survived cancer.

This was a person. He never drank coffee. He could play banjo.

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

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

This was a person. She has two living parents. She finished reading all of the works of Homer.

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

This was a person. She played World of Warcraft She played guitar on the streets for money.

This was a person. He was a DJ.

This was a person. He had bonsai trees.

This was a person. He was very good at cleaning.

This was a person. He wore Spandex. He didn't get along with animals.

This was a person. She was polite to telemarketers.

This was a person. He taught guitar.

This was a person. He could fall asleep anywhere.

This was a person. He chewed nicotine gum. He excelled at woodworking.

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

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

This was a person. He just had his car stereo repaired. He was kind of addicted to ebay.

This was a person. She could juggle.

This was a person. She was gluten intolerant.

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

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

This was a person. She once robbed a bank.

This was a person. He loved fine dining.

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

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

This was a person. She wore bow ties.

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

This was a person. She slept around.

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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