👉 "Dirty math" refers to the use of less-than-ideal or unconventional mathematical techniques, often employed when strict adherence to standard methods is impractical or impossible. This might include approximations, numerical methods that sacrifice precision for speed, or even heuristic approaches that rely on intuition rather than rigorous proofs. While these methods can yield useful results, they may introduce errors or uncertainties that are difficult to quantify, making the outcomes less reliable but sometimes more feasible in real-world applications where perfect precision is unattainable. For instance, in computational simulations or engineering designs, dirty math might be used to balance accuracy with computational efficiency, accepting a margin of error in exchange for faster results or practical usability.
