Unverified50% confidenceFactExact time
IEEE 754 floating-point numbers cannot precisely represent most decimal fractions, and repeated operations produce rounding errors, for example in JavaScript 0.1 + 0.2 === 0.30000000000000004.
1
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50%
Confidence
Long-term
Relevance
10/12/2026
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Related Claims
UnverifiedJavaScript uses IEEE 754 double-precision floating-point numbers, with an effective precision of approximately 15–16 decimal digits, which can result in precision loss under extreme scaling ratios.79% similarUnverifiedAccording to IEEE 754's round-to-nearest-even rounding rule, adding a number less than half a ULP (approximately 0.00000006) to 1.0 still results in 1.0, making the addition ineffective.75% similarUnverifiedJava的float和double类型遵循IEEE 754浮点标准，无法精确表示某些十进制小数，虽然BigDecimal类可处理精确十进制运算但性能开销显著高于原生浮点运算62% similarUnverifiedWith a sample size of 112 questions, the 95% confidence interval near 0.95 is approximately ±4 points, making it impossible to distinguish between scores of 0.94 and 0.92.60% similarUnverifiedThe researchers constructed a corpus targeting all 81 single-digit addition combinations (0+0 through 9+9), with each addition problem assigned a fabricated wrong answer that is asserted repeatedly and consistently.59% similar
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