Rounding modes — where it appears
Also named here as summation — the same set of essays touches all of them, so they are one junction rather than several.
The direction the error leans
The size of one rounding error is set by the precision. How ten thousand of them combine is set by something else entirely — the rounding mode — and the fitted exponents are 0.47 for round-to-nearest and 1.01 for round-toward-infinity, on identical data at identical precision.
A coin flip that fixes the average
Add 0.1 to 256 a thousand times at eight significand bits and the answer is 256. Not approximately — the total never moves, not once, and no error bound says so. Round up one time in twenty instead of never, and it arrives at 348 against a true 356.
Named alongside it
The objects these essays reach for when they reach for this one.
Error accumulationSummationUnit roundoffDirected roundingHalf precisionIEEE 754Interval arithmeticStagnationStochastic roundingTruncationThe ulp