I Know A Guy Who Knows A Guy

The famous WWII survivorship bias diagram strikes again! During the war, engineers analyzed returning planes to decide where to add armor. They marked bullet holes (red dots) on returned aircraft—but the critical revelation was that they should armor the unmarked areas , since planes hit there never made it back. YouTube's anti-adblock crusade perfectly mirrors this logical fallacy. They're only measuring revenue from users who stick around after being forced to disable adblock—completely missing all the users who just abandon the platform entirely. It's like optimizing your codebase by only listening to the three users who didn't rage-quit after your UI redesign.

Someone's been coding on mushrooms again! This cosmic genius wants to replace binary's 0s and 1s with 0s and 9s to "unlock God" in our code. Because apparently the number 9 "contains all numbers 1-8" and will bring "real sentience" to our programs. Next week: replacing semicolons with tiny pictures of galaxies to achieve interdimensional compilation. The compiler errors would be spectacular - "ERROR: DIVINE PRESENCE DETECTED IN LINE 42. PLEASE SACRIFICE A MECHANICAL KEYBOARD."

The DRAMATIC DECLINE of a CS student's soul in four horrifying acts! 😱 Year 1: Look at this precious innocent baby printing "Hello World" with the enthusiasm of someone who thinks they'll be the next Zuckerberg. ADORABLE. They have NO IDEA what's coming. Year 2: Reality starts to set in. That face says "I've seen things... terrible things... like trying to balance binary trees at 3 AM while questioning my life choices." Year 3: COMPLETE PSYCHOLOGICAL BREAKDOWN. "I wanna go home" is code for "I've forgotten what sunlight feels like and my dreams are in Python syntax." Year 4: The final transformation! When your degree crushes your soul so thoroughly that you abandon all hope of a traditional career and decide to become a YouTube coding guru instead. THE CIRCLE OF DESPAIR IS COMPLETE!

Ah, the irony of modern tech! Here's a vintage book teaching "Artificial Intelligence in BASIC" from what looks like the 80s, sitting right next to "EXPERT SYSTEMS" on the bookshelf. Fast forward to 2023, and we're all losing our minds over ChatGPT and friends—billion-dollar AI systems built on Python, a language that would make your CPU cry if you asked it to calculate 2+2 in less than half a second. The cosmic joke is that we've gone from programming AI in languages designed to be "Beginner's All-purpose" to building world-changing models with a language where indentation errors can crash your entire system. Somewhere, this book's author is either laughing hysterically or weeping uncontrollably.

OH. MY. GOD. The absolute AUDACITY of comparing accountants to data scientists! 💅 Just because someone can stare at spreadsheets until their eyeballs bleed doesn't make them a data scientist! The accountant in this image is LITERALLY drowning in columns of dollar amounts while Excel has become their prison and spreadsheets their wallpaper. Meanwhile, actual data scientists are out there building neural networks and pretending they understand what their algorithms are doing! The identity crisis is REAL, people! Next thing you know, my mom who makes pivot tables in Excel will start calling herself a "machine learning engineer." THE HORROR!

When your algorithm skills are so bad, you take logarithmic problems and somehow turn them into cubic complexity nightmares. It's like having a superpower, but the worst one possible. Your brain is essentially an inefficiency generator that would make computer scientists weep. For the uninitiated: O(log(n)) represents highly efficient algorithms that barely break a sweat as inputs grow, while O(n³) is the computational equivalent of trying to empty the ocean with a teaspoon. Congratulations on being a walking computational disaster!