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 constantly wore sunglasses. She had a podcast.

This was a person. She was rebuilding an engine.

This was a person. He watched a lot of sports on TV, but never played them himself. He was a cat person.

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

This was a person. He always brought reusable bags into the store.

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

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

This was a person. He played chess. He was an expert barbecuer.

This was a person. She led the choir.

This was a person. She was an expert barbecuer.

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

This was a person. She never raised hervoice.

This was a person. She smoked pot at music festivals.

This was a person. He was rebuilding an engine. He loved Elvis.

This was a person. She had long fingernails.

This was a person. He had a podcast.

This was a person. He picked up litter. He played chess.

This was a person. He was a dog person.

This was a person. He abused cars.

This was a person. He could fall asleep anywhere.

This was a person. She was a teacher.

This was a person. He was allergic to peanuts.

This was a person. He made scrapbooks. He was going blind.

This was a person. He went to the horseraces.

This was a person. He was a street vendor.

This was a person. She survived cancer.

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 took a lot of photos.

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

This was a person. He wanted to learn magic. He loved cigarettes.

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

This was a person. She occasionally shop lifted. She contributed to a nearby homeless shelter.

This was a person. He was a Mac evangelist.

This was a person. She taught guitar.

This was a person. He had an awesome home theatre.

This was a person. She picked up litter.

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

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

This was a person. He snored.

This was a person. She loved Elvis.

This was a person. She was a secret Buddahist.

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

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

This was a person. She was afraid of flying. She did open mike.

This was a person. She was a hoarder.

This was a person. He had VD. He was an awful driver.

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

This was a person. He played piano.

This was a person. She did open mike.

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

This was a person. He chewed gum constantly.

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

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

This was a person. He never drank coffee.

This was a person. She was a dog person.

This was a person. He was a pharmacist. He was a mason.

This was a person. She was 4 days sober.

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

This was a person. She never ate breakfast.

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

This was a person. He knew a lot of cops. He had tropical fish.

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

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

This was a person. She loved to make out.

This was a person. She had a gun.

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

This was a person. She constantly wore sunglasses.

This was a person. She loved to fish.

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

This was a person. He was gluten intolerant.

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

This was a person. He tutored kids. He was left-handed.

This was a person. She made pie. She kept to herself mostly

This was a person. He was a hoarder.

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

This was a person. She loved to fish.

This was a person. He did open mike.

This was a person. He went to church.

This was a person. He looked like a cartoon.

This was a person. She was an awful driver. She couldn't grow a mustache.

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

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

This was a person. She wanted to learn magic. She ate a lot of raisins.

This was a person. He volunteered at a middle school, because he had a crush on one of the other tutors. He had a personal injury lawsuit working its way through the courts.

This was a person. She was a DJ.

This was a person. She once robbed a bank.

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

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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