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National Security Letters — Part 1
Page 386
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the year. At that point, I will be confident the data we provide to Congress in future reports is as
accurate as humanly possible.
in the meantime, we are taking several steps to correct the numbers we have previously
reported. First, we are making data corrections in our database. Through a computer program, we
have identified all entries that must be erroneous because there is an apparent error in the entry (e.g.,
there are more NSLs reported than requests; the date shows a year that is impossible (203)). We are
manually reviewing those entries and making corrections. We have also started a random sampling
of ten percent of the total entries in the OGC database which contains approximately 64,000 entries.
Those entries will be manually checked against ACS. We will determine whether there is a
significant difference between the entries in our database and the actual information in ACS, To
the extent there is a difference, that will be the factor that will be used to correct our prior reporting.
While not yielding an exact count, we believe that to be a statistically appropriate way of correcting
prior reporting. We have discussed this methodology with the OIG and will offer it the opportunity
to review our work. We are striving to have corrected reports to Congress as soon as possible.
As with the other shortcomings identified by the OIG, there was no finding of an intent to
deceive Congress concerning our use of NSLs. In fact, as noted, we identified deficiencies in our
system for generating data prior to the initiation of the OIG's review and flagged the issue for
Congress almost one year ago. While we do not know the extent of the inaccuracies in past
reporting, we are confident that the numbers will not change by an order of magnitude.
Exigent Letters
The next significant finding of the OIG involved the use within one unit at Headquarters of
so-called "exigent letters." These letters, which numbered in excess of 700, were provided to
Reveal the original PDF page, then click a word to highlight the OCR text.
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