This document discusses truncation errors that occur when using Taylor series approximations. It contains the following key points: 1) Taylor series approximations become less accurate as higher-order terms are dropped, leaving a remainder term (Rn) that accounts for ignored terms. The order of the truncation error is equal to the order of the first ignored term. 2) Halving the interval size between points (the step size h) reduces the error by the order of the truncation error. For example, if the error is O(h2), halving h reduces the error to 1/4th of its original value. 3) The Taylor series can be used to estimate errors that occur when a function