Auditors get a mathematical rule for when to stop sampling — first time the statistics actually work out for sequential checking

A research team formulated the math that lets auditors decide when they've checked enough records to reach a conclusion, rather than guessing or following tradition. In practice, this means auditors can now stop sampling earlier with proven statistical guarantees that they haven't missed material errors.

For decades, auditors have expanded their sample sizes mid-audit when initial results looked shaky, but nobody had actually worked out when it was safe to stop. They relied on judgment calls and regulatory guidelines that acknowledged the practice without formalizing it. This paper gives auditors an exact rule: if you check items sequentially and set a clear threshold beforehand, here's the mathematical boundary that controls your error rate. The structural shift is small but real: audit work can now be designed to be statistically efficient rather than procedurally arbitrary. The real consequence is that audits can potentially become faster and cheaper without sacrificing assurance, though actual adoption depends on whether accounting firms and regulators build this into their standards.