What can be described as signs represented by numerical oddities?

The term that describes signs represented by numerical oddities is associated with hard indicators. Hard indicators refer to tangible, quantifiable data that show statistical anomalies or unusual patterns which can suggest the presence of financial crimes like fraud or money laundering. These indicators often stem from rigorous data analysis and might include things like unexpected spikes in transaction volume, irregular patterns in financial statements, or large deviations from expected norms based on historical data.

Hard indicators are grounded in mathematical or statistical findings, making them particularly useful in investigations since they provide concrete evidence that can lead a investigator to further scrutinize certain transactions or behaviors.

In contrast, soft indicators typically refer to qualitative signs or behaviors that signal potential fraud but do not rely solely on numerical data. Fraud alerts are notifications triggered by certain conditions but are not specifically about numerical oddities themselves. Statistical anomalies could be relevant but are more aligned with outliers or unexpected results rather than being a direct term for signs of potential fraud like hard indicators are.