Extrapolation of test data involves predicting values outside the range of the original dataset by assuming that the patterns observed within the data continue beyond the measured points. This process is inherently risky as it relies on assumptions that may not hold true, especially in non-linear or complex systems where unknown factors could significantly alter outcomes.