Precision errors Memes

Posts tagged with Precision errors

Basically Free Money
Javascript Webdev Programming Frontend Backend
18 days ago 264.7K views 0 shares
Basically Free Money
Oh, the absolute JOY of floating-point arithmetic in JavaScript! Nothing screams "professional financial software" quite like receiving 3 dimes and somehow ending up with $0.30000000000000004 because JavaScript's Number type decided to have an existential crisis about decimal representation. It's like asking for exact change and getting handed the mathematical equivalent of "close enough, right?" Binary floating-point numbers can't represent 0.1 precisely, so when you do basic math, you get these delightful microscopic errors that haunt your financial calculations. But hey, that extra 4 quadrillionth of a cent? That's YOUR bonus for trusting JavaScript with money calculations. Stonks! 📈

Lebron James
Java Programming Debugging Databases Backend
22 days ago 310.5K views 0 shares
Lebron James
Ah yes, the classic floating-point precision nightmare strikes again! LeBron apparently set his user balance to exactly 100 dollars, but because he used a double (floating-point) instead of a proper decimal type for monetary values, the database now cheerfully displays $99.99999999999 instead of a clean $100. The facepalm is well-deserved. Rule #1 of financial applications: never use floating-point types for money! Binary floating-point can't accurately represent decimal fractions like 0.1, leading to these delightful rounding errors that'll have your accounting department hunting you down. Should've used BigDecimal, DECIMAL, or literally anything designed for exact decimal arithmetic. Even the GOAT isn't immune to the IEEE 754 curse. Stick to the fundamentals, King. 👑

Float Your Boat, Not Your Decimals
Programming Math AWS Debugging Cloud
10 months ago 262.9K views 0 shares
Float Your Boat, Not Your Decimals
The double-precision pun here is just *chef's kiss*. The AWS engineer is both literally floating around the world on a yacht AND dealing with the nightmare that is floating-point precision errors in computing. Look at that travel path! That's not efficient navigation—it's what happens when you try to represent decimal numbers in binary. Your GPS says "go straight" but floating-point math says "let me zigzag across the entire Pacific first." I guess when you've spent years battling 0.1 + 0.2 ≠ 0.3 in your code, you deserve to float away from your problems... only to create a visual representation of the exact same problem with your yacht's GPS tracker. The irony is just too perfect .