You both create a deathly sick hamster living in agony.

You both blindly enter in your equations into her special 3D printer and let er rip. You watch in anticipation as each irrationally infinite and unending slice and scan of the original Dini body begins to get digitized, sampled and reprinted. Right before your eyes, a new identical Dini begins to form before your very eyes.

One hour of wild printing later and you have done it, you and your roommate have done the impossible and resurrected her dead hamster!

“DINI!” She swoops in for a kiss, “He’s already breathing! We are SOOO getting published…THIS. IS. BIG!”

“Yeah, it’s great,” you share in the excitement, but you can’t help but be a little worried about Dini’s condition, he’s not the same after the procedure. He moves slower, eats less but somehow survives the procedure.

You both are successfully published in the most prestigious journals documenting your journey to finally find an application for the once thought useless paradox. Your success is unfortunately met with way more criticism than praise as Dini lives in so much agony his entire life that PETA comes after you for animal cruelty testing your experimental device on the poor creature who in no way consented to his new life of misery. Not only did you fail in preventing your roommate from resurrecting her dead hamster, now you’re on PETA’s shame list, for the rest of your life!

Try again?

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Published by B McGraw

B McGraw has lived a long and successful professional life as a software developer and researcher. After completing his BS in spaghetti coding at the department of the dark arts at Cranberry Lemon in 2005 he wasted no time in getting a masters in debugging by print statement in 2008 and obtaining his PhD with research in screwing up repos on Github in 2014. That's when he could finally get paid. In 2018 B McGraw finally made the big step of defaulting on his student loans and began advancing his career by adding his name on other people's research papers after finding one grammatical mistake in the Peer Review process.

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