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 played a lot of social card games.

This was a person. He was a translator.

This was a person. He loved fine dining.

This was a person. He abused cars.

This was a person. He loved oreos.

This was a person. She called in sick to work 9 times last month and was written up at work. She was sort of selfish in bed.

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

This was a person. He loved wine. He was a cheapskate.

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

This was a person. She was good to people.

This was a person. She took careful notes after every meal.

This was a person. She abused cars.

This was a person. She occasionally shop lifted. She was going blind.

This was a person. He knew how to get free satelittle television.

This was a person. He collected figurines.

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

This was a person. She survived cancer.

This was a person. She had VD.

This was a person. He was divorced.

This was a person. He loved fine dining. He played guitar on the streets for money.

This was a person. He was a teacher.

This was a person. He made scrapbooks.

This was a person. She was a teacher.

This was a person. He could play banjo.

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

This was a person. She loved nachos.

This was a person. He brought great food to social gatherings.

This was a person. He was thrifty.

This was a person. She was a teacher.

This was a person. He was a skilled woodcarver.

This was a person. He brought great food to social gatherings.

This was a person. She played a lot of social card games. She played World of Warcraft

This was a person. She called in sick to work 9 times last month and was written up at work. She always bought flowers for her desk.

This was a person. She overtipped.

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

This was a person. He was sporty.

This was a person. She kept to herself mostly

This was a person. She was sleeping with her ex.

This was a person. She abused cars.

This was a person. She could fix anything. She had a lot of Beatles records.

This was a person. She loved oreos.

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

This was a person. She was divorced.

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

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

This was a person. She talked during movies. She took a lot of photos.

This was a person. She constantly wore sunglasses.

This was a person. She was a skilled woodcarver. She wanted to learn magic.

This was a person. He never raised hisvoice. He took a lot of photos.

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

This was a person. She was sleeping with her ex.

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

This was a person. He sang at parties.

This was a person. She was the unofficial relationship guru among her friends.

This was a person. He was a drunk.

This was a person. She prefered bread without crusts.

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

This was a person. He always wore a hat.

This was a person. He had a lot of shoes.

This was a person. He taught guitar.

This was a person. She never carried cash.

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

This was a person. She overtipped. She had a green thumb.

This was a person. He can't watch the end of T2 without crying

This was a person. He was a vegetarian.

This was a person. She never raised hervoice.

This was a person. She had a gun. She taught guitar.

This was a person. He had a lot of shoes.

This was a person. She was a hoarder.

This was a person. He was a poet.

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

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

This was a person. She ate a lot of chinese food.

This was a person. He was rebuilding an engine.

This was a person. He finished reading all of the works of Homer. He kept buying vegetables, even though they always just went bad in his fridge.

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

This was a person. She was gluten intolerant.

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

This was a person. She taught guitar.

This was a person. He never ate breakfast. He loved wine.

This was a person. She could always get tickets.

This was a person. He was a DJ.

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

This was a person. He never ate breakfast. He loved wine.

This was a person. She loved to fish.

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

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

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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