Why JavaScript Floating Point Math Breaks Your App (And How to Fix It)

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JavaScript uses IEEE 754 double-precision floating point for all numbers, meaning decimals like 0.1 + 0.2 can't be represented exactly in binary. This causes subtle bugs in financial and precision-sensitive code — not just the obvious 0.1 + 0.2 case, but composed calculations like Math.ceil(1.7000000000000002 * 100) / 100 producing 1.71 instead of 1.70. Four practical solutions are covered: using toFixed() only for display output, working in integer cents for monetary values, a scale-round-ceil pattern to neutralize floating point noise in pre-computed floats, and using decimal.js or big.js for complex chained financial calculations. The recommended default for money is integer arithmetic.

5m read timeFrom sergiolema.dev
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Table of contents
Why JavaScript Numbers Are ImpreciseWhere This Actually Bites YouSolution 1: toFixed() for Display, Not LogicSolution 2: Integer Arithmetic (Work in Cents)Solution 3: Scale Up, Round Out the Noise, Then CeilingSolution 4: decimal.js or big.js for Complex Use CasesWhich Approach Should You Use?The Takeaway

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