ITHI Metric M1, Inaccuracy of Whois Data

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The metric M1 tracks the Inaccuracy of Whois Data, by measuring the number of complaints validated in a given month. The compliance department of ICANN receives a number of complaints every month. Out of that number, some will be closed immediately, and some will be validated. When a complaint is validated, ICANN will send a notice to the registrar for the domain. We track the number of validated complaints by counting the notices sent each month. Since the number of complaints is expected to be proportional to the number of domains, the first sub metric is defined as:

For privacy reasons, we do not disclose the number of complaints per registrar. However, we measure the distribution by assessing two key points in the distribution of the data:

The following table provides the value observed for these metrics in the current month, as well as the average value over the 12 months preceeding this one -- or the average since the beginning of measurements if measurements started fewer than 12 months ago.

M1 metric nameCurrent valueAverage value
M1.1: Number of “validated complaints” per million registrations. - -
M1.2: Smallest number of registrars explaining 50% of complaints. - -
M1.3: Smallest number of registrars explaining 90% of complaints. - -

M1.1 = Number of “validated complaints” per million registrations

The following graph shows the evolution of the Inaccuracy of Whois Data metric M1.1 over time. This metric is measured on a set of registrars.