The Four Horsemen Of Digital Extinction

Binary vs. Decimal! Computer science students see 11+1=100 and think "yep, that's correct" because in binary, 11 (3 in decimal) plus 1 equals 100 (4 in decimal). Meanwhile, biology students are having an existential crisis because math suddenly stopped making sense. It's like watching someone confidently drink what you KNOW is hydrochloric acid but they're smiling because in their world, it's just spicy water! 🤓

The engineering devolution is real! In 1969, engineers were calculating rocket trajectories to the moon using nothing but slide rules—actual analog computing devices requiring genuine mathematical skill. Meanwhile, modern engineers are double-checking that 2+2=4 on their fancy calculators during exams. This hits different when you realize the Apollo guidance computer had less processing power than a modern kitchen toaster. Those NASA nerds were doing orbital mechanics BY HAND with logarithmic scales while we're out here with supercomputers in our pockets getting basic arithmetic wrong. The slide rule engineer's confidence vs. the calculator-dependent engineer's uncertainty is the perfect metaphor for how technology sometimes makes us dumber even as it gets smarter. The ultimate "we don't make 'em like we used to" of STEM fields!

The YouTube algorithm really knows how to kick an engineer while they're down. Nothing says "welcome to your career" like being recommended videos on loneliness right after watching engineering content. The perfect digital reminder that while you're busy calculating stress loads and designing circuits, your social circuit might be experiencing some downtime. The algorithm has spoken: your relationship with differential equations is more stable than your relationship status. At least your CAD models will never ghost you.

Behold the magnificent "circuit dog" - creating a perfect electrical connection between soda cans and social media platforms! This is basically what happens when you learn just enough in class to be dangerous but not enough to be useful. The dog standing on cans represents that moment when you're asked to demonstrate your technical skills and you cobble together something that technically works but violates every safety protocol in existence. Every engineering student has that "I have no idea what I'm doing but it's conducting electricity" phase. The real miracle here is that the dog hasn't been electrocuted yet - which is probably the most accurate representation of engineering work I've seen.

First panel: Screaming at your computer like it personally insulted your research methodology. Second panel: The quiet realization that you're the one who forgot a semicolon. MATLAB doesn't care about your deadlines or your dignity. Six hours of debugging only to discover you're the architect of your own suffering. Just another Tuesday in computational science.

This algorithm exam is so brutal they've included crying protocols in the instructions! 😭 Nothing says "welcome to computer science" like rules #4 and #5: "CRYING IS ALLOWED BUT PLEASE DO SO QUIETLY" and "DO NOT WIPE TEARS ON EXAM PAPER." And that first question about greedy algorithms producing optimal solutions? That's the university's way of saying "prepare for emotional damage." Big O notation has never looked so terrifying! No wonder they highlighted the crying instructions - they're the most important part of the test!