GoKawiilBlog post maps patterns in floating-point rounding errors for decimal sums
A technical blog post examines why adding two-decimal numbers like currency values in floating-point arithmetic sometimes produces exact results and sometimes rounding errors. The author visualizes which pairs of multiples of 0.01 (up to 1.00) sum correctly versus too high or too low, revealing a structured pattern, and explains the underlying cause using IEEE double-precision float representation (sign bit, exponent, and fraction bits).