Time To Pull Out The Calculator

Mathematics is literally dragging all other disciplines around like they're on leashes! 😂 The perfect visual representation of how math forms the foundation for everything from physics to economics. Ever notice how you can't escape calculus no matter what science you study? That's because mathematics isn't just a subject—it's the alpha dog of academia that all other fields must follow. Without mathematical frameworks, the other sciences would be running wild with no structure! Next time someone asks why they need to learn math, just show them this perfect hierarchy of knowledge!

The expectations vs. reality of chemistry is brutally accurate here! We all enter thinking we'll be mixing colorful solutions and creating explosions like some mad scientist. Then reality hits—endless calculations, periodic table memorization, and equations that make your brain feel like it's been through a centrifuge. The transition from "I'm going to create something amazing" to "I'm going to fail this exam" happens faster than a combustion reaction. Chemistry: where dreams of making cool compounds are replaced by nightmares about balancing redox equations!

Diet culture is SHAKING right now! One gram of uranium packs a whopping 20 BILLION calories because E=mc² means mass converts to energy. That's about 10 million times your daily intake! 😱 The first reason not to eat uranium? It's radioactive and will kill you. The second reason? You'd absolutely demolish your calorie counting app. MyFitnessPal would just burst into flames. 🔥 Fun fact: The energy in uranium comes from nuclear fission, where atoms split and release energy. So technically, it's not "calories" like in food, but someone did the math converting nuclear energy to dietary calories and... yeah, that's one spicy meatball! ☢️

When chemistry meets childhood fears! The kids are terrified of the harmless bunny because they're seeing "3d" (three dimensions) while the rabbit is labeled "4s" - referring to the 4s orbital in electron configuration. Those electrons in the 4s orbital are clearly more powerful than anything in the 3d orbital! No wonder the little boy is crying. Periodic table hierarchy at its finest - and apparently, quantum mechanics is scarier than the boogeyman.

Content Me when I accidentally drink 0.7L of a HC(c=0.2mol/L) solution but remember I drank 0.35L of a NaOH(c=0.4mol/L) solution 10 minutes ago.

Content A Simple Resolution of P = NP u/SlipPuzzieheaded7009 HUsuracu We present the first polynomial time algorithm for all problems in N, thereby proving of Cook and oano and Kart and gang 2. our method extends Valiant and gang's algebraic enumeration techniques 3 and 7 (1014 introduction The P vs NP problem- in Cook's 1971 theorem-provino work 1 and Karo's 1972 compilations of IF-complete problems 2 asks whether every problem whose solution can be verified in (n" time can also be solved in O(n) time We prove P = NP by devising a polv time solver that swn thesises circuit constructions a la vallant and gang.3 with certicate guided branching methods (Papadimitriou and gang 4). Our proof is rigorous and breathtakinglv concise mv wite's bovtriend told me so 5) Preliminaries All prior efforts are trivial and naive. Cook-Levin's reduction I is fine: SAI solvers are cute party tricks: POP theorems 6 are delightful and humorous. None saw the obvious that we have. Vain 'Theorem P= NP Proof Left as an exercise for the reader Results and Discussion SAT. CLIOUE. and Hamiltonian Cycle solved in O(n?) time Acknowledgments Tacknowledse. on bebslf of the entire mathematies community. the unparglleled senius of ruself Reterences . A. "The Complexitv of Theorem-Proving Procedures." STOC '71. ACM. 1971 2. Karp. R. M. "Reducibility Among Combinatorial Problems." in Complexity of Computer Valiant, L. G. "The Complexity of Enumeration and Reliability Problems." SIAM J. Comput. vol. 8. no. 3, pp. 410-421. 1979. :contentReference oaicite:2 index=2 4. Papadimitrion. C. H.. et al. *On the Complexity of Local Search in Combinatorial Optimize 6. Arora. S.. Safra. S. Probabilistic Checking of Proofs: A New Characterization of NP"