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 was kind of addicted to ebay.

This was a person. He was thrifty.

This was a person. He wanted to learn magic. He sang.

This was a person. He never carried cash.

This was a person. She taught guitar.

This was a person. She taught guitar.

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

This was a person. He plays fantasy football. He excelled at woodworking.

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

This was a person. He had a hangover yesterday.

This was a person. She was a mason.

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

This was a person. She could play cricket.

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

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

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

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

This was a person. She could play harmonica.

This was a person. She could play trumpet.

This was a person. He was gluten intolerant. He could play harmonica.

This was a person. She was the richest of her friends. She snored.

This was a person. He was a teacher. He could always get tickets.

This was a person. She survived cancer.

This was a person. She chewed gum constantly.

This was a person. She loved James Bond movies.

This was a person. He wore Spandex.

This was a person. She was afraid of heights.

This was a person. She talked during movies.

This was a person. He sang at parties.

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

This was a person. He was polite to salesmen.

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

This was a person. He was thrifty.

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

This was a person. She was 4 days sober. She was afraid of flying.

This was a person. She was a wedding photographer.

This was a person. He never drank coffee.

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

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

This was a person. He plays fantasy football.

This was a person. He was rebuilding an engine.

This was a person. He kept to himself mostly

This was a person. She once robbed a bank.

This was a person. He called in sick to work 9 times last month and was written up at work. He was playing nine games of Words with Friends on his phone.

This was a person. She picked up litter.

This was a person. She loved pot.

This was a person. He was an awful driver.

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

This was a person. He could play banjo.

This was a person. He did open mike. He was afraid of heights.

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

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

This was a person. She played chess.

This was a person. She was afraid of heights. She can't watch the end of T2 without crying

This was a person. She had tropical fish.

This was a person. He always made the mashed potatoes at family get-togethers. He was learning to speak French.

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

This was a person. She was afraid of flying. She was learning to use CAD software.

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

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

This was a person. She made scrapbooks.

This was a person. She loved to make out.

This was a person. She was a virgin.

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

This was a person. He was kind of an awesome lover.

This was a person. She had a hangover yesterday.

This was a person. He kept to himself mostly

This was a person. She wore bow ties.

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

This was a person. She loved nachos.

This was a person. He never carried cash. He was a cat person.

This was a person. He was a virgin. He could always get tickets.

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

This was a person. She was a vegetarian.

This was a person. She could play harmonica.

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

This was a person. He was afraid of heights.

This was a person. She had a lot of Beatles records. She had a podcast.

This was a person. She was an expert barbecuer.

This was a person. She has four overdue books.

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

This was a person. She was a trivia master. She had a gun.

This was a person. He overtipped. He picked up litter.

This was a person. He helped people.

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

This was a person. He loved wine.

This was a person. He was a wedding photographer. He could play cricket.

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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