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 podcast. She wanted to learn magic.

This was a person. He could juggle.

This was a person. He was the unofficial relationship guru among friends.

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

This was a person. He ate a lot of chinese food. He was sporty.

This was a person. She just had her car stereo repaired.

This was a person. She never raised hervoice.

This was a person. She loved oreos. She had long fingernails.

This was a person. She loved fine dining.

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

This was a person. He made his own beer and was kind of stingy with it.

This was a person. She was a pharmacist.

This was a person. She went to the horseraces.

This was a person. She ate the food at convenience stores.

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

This was a person. She never raised hervoice.

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

This was a person. He had braces on his teeth.

This was a person. He wore a lot of jewelry. He loved to fish.

This was a person. She was afraid of flying.

This was a person. He loved oreos.

This was a person. He overtipped.

This was a person. She was a cheapskate.

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

This was a person. She never drank coffee.

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

This was a person. She was a wedding photographer. She could juggle.

This was a person. He had long fingernails.

This was a person. She loved to make out.

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

This was a person. He was afraid of the water. He had tropical fish.

This was a person. He made his own beer and was kind of stingy with it. He was a Mac evangelist.

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

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. He led the choir. He spends a lot of time watching tennis.

This was a person. He loved fine dining. He abused cars.

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

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

This was a person. She could play harmonica.

This was a person. She always had gum. She spends a lot of time watching tennis.

This was a person. He was working his way through all of the shows on Netflix.

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

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

This was a person. He was awaiting judgement for a DUI last month. He scalped tickets

This was a person. He was training to run a marathon. He was learning to speak French.

This was a person. She just had her car stereo repaired.

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

This was a person. She slept around.

This was a person. She collected figurines.

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

This was a person. He talked during movies. He had a podcast.

This was a person. He had a bunch of cameras. He was lactose intolerant.

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

This was a person. He has four overdue books.

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

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

This was a person. She only ever had sex with one person. She was always in a hurry.

This was a person. He could play trumpet.

This was a person. He had bonsai trees. He prefered bread without crusts.

This was a person. She sang.

This was a person. She was rough and tumble. She made scrapbooks.

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

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

This was a person. He was a historian.

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

This was a person. He was gluten intolerant.

This was a person. She ate a lot of kale. She looked like a cartoon.

This was a person. He was allergic to peanuts.

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. He always brought lunch. He could play cricket.

This was a person. He was a vegetarian. He was good at job interviews.

This was a person. She once robbed a bank.

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

This was a person. She was a cheapskate. She picked up litter.

This was a person. He has two living parents.

This was a person. He had a hangover yesterday.

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

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

This was a person. She always wore a hat.

This was a person. She had a green thumb.

This was a person. He had a gun. He was a cat person.

This was a person. She was sporty.

This was a person. She took a lot of photos. She prefered bread without crusts.

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

This was a person. He taught guitar.

This was a person. She prefered bread without crusts.

This was a person. She tutored kids.

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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