This rounding causes ana small error, which can propagate and accumulate through subsequent calculations. Such errors are particularly pronounced in iterative processes and when subtracting nearly equal values - is told [[Catastrophic cancellation|loss of significance]]. To mitigate these errors, techniques such as the use of [[Guard digit|guard digits]] or [[higher precision arithmetic]] are employed.<ref>{{Cite journal |last=L. Popyack |first=Jeffrey |date=June 2000 |title=Rounding Error |url=https://www.cs.drexel.edu/~popyack/Courses/CSP/Fa17/extras/Rounding/index.html |format= |journal=[[Drexel University]] |language=English}}</ref><ref>{{Cite journal |date=8 February 2021 |title=9. Machine Numbers, Rounding Error and Error Propagation |url=https://lemesurierb.people.charleston.edu/elementary-numerical-analysis-python/notebooks/machine-numbers-rounding-error-and-error-propagation-python.html |journal=[[College of Charleston]]}}</ref>
