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 had a gun. She did not sleep with a pillow.

This was a person. He volunteered at a middle school, because he had a crush on one of the other tutors. He was kind of an awesome lover.

This was a person. He dropped his work laptop last week, destroyed it and couldn't sleep for days. He was a street vendor.

This was a person. He never drank coffee. He ate a lot of raisins.

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

This was a person. He wore bow ties.

This was a person. She excelled at woodworking.

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

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

This was a person. She was sort of selfish in bed. She was a pharmacist.

This was a person. He talked during movies.

This was a person. He went to church.

This was a person. She was learning to speak French. She was a DJ.

This was a person. She never drank coffee.

This was a person. She had a bunch of tattoos. She couldn't grow a mustache.

This was a person. She played chess.

This was a person. She could always get tickets.

This was a person. She was a Mac evangelist.

This was a person. He had a bunch of cameras. He did not own a fridge.

This was a person. He was left-handed. He wore a lot of hats.

This was a person. He loved fine dining. He was good to people.

This was a person. He once robbed a bank.

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

This was a person. He helped strangers.

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

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

This was a person. She picked up litter.

This was a person. He talked during movies. He was a secret Buddahist.

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

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

This was a person. He can't watch the end of T2 without crying He watched a lot of sports on TV, but never played them himself.

This was a person. He was an awful driver. He was a secret Buddahist.

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

This was a person. She had a podcast.

This was a person. He always had gum.

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

This was a person. She had VD. She was a historian.

This was a person. She had a podcast.

This was a person. He threw a lot of parties. He could play trumpet.

This was a person. She always brought lunch.

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

This was a person. She excelled at woodworking.

This was a person. He was a secret Buddahist. He kept to himself mostly

This was a person. She was a skilled woodcarver.

This was a person. He loved wine.

This was a person. He was a Mac evangelist.

This was a person. She took careful notes after every meal. She could fall asleep anywhere.

This was a person. He always brought lunch.

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

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

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

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

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

This was a person. He was rough and tumble.

This was a person. He had a lot of Beatles records.

This was a person. He excelled at woodworking.

This was a person. She looked like a cartoon. She spends a lot of time watching tennis.

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

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

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

This was a person. He had extensions.

This was a person. He once robbed a bank.

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

This was a person. She was a street vendor.

This was a person. She had a sexy phone voice.

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

This was a person. He had a gun.

This was a person. He was a cheapskate. He helped strangers.

This was a person. She was a street vendor.

This was a person. He could play banjo. He always wore a hat.

This was a person. She never drank coffee. She wanted to learn magic.

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

This was a person. He played soccer every weekend. He has a suit at the cleaners.

This was a person. She snored.

This was a person. She was playing nine games of Words with Friends on her phone.

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

This was a person. She was a crossword whiz.

This was a person. She plays fantasy football.

This was a person. He led the choir.

This was a person. She went to the horseraces. She spent a lot of time with old people.

This was a person. He spends a lot of time watching tennis.

This was a person. She could fix anything.

This was a person. She had long fingernails.

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

This was a person. She had been having trouble tying her shoes because she pulled a muscle in her abs.

This was a person. She was a pharmacist.

This was a person. She was an expert barbecuer.

View a different tragedy with the Disaster Visualization Tool

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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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