RMJGZfLpLSW2kmJN617iX2s1mVhdU1TDeaKJtCWIAyJ37VOG6C YiFOHrED7WxSqSURx4k9DrbVNDrOnjiQzqcgn1yydJfSjUnb6r

still produce a considerable amount of
* traffic, the data could then undergo 'secondary testing', such as the
* addition of the words "New York," to reduce the number.


You may wonder what keywords excel at picking up "resume condition" traffic.

You want the truth?

YOU CAN'T HANDLE THE TRUTH

Just kidding. That was Jack Nickelson speaking for the NSA.

Here is how it is done:

o Select all traffic.

o Exclude commonplace traffic, such as mailing lists.
example: FROM
This is done by selecting keywords that match against the routing
information in the email header: who it came from, who it is going to.
The phone analogy is recipient and originating phone numbers.
This cuts down on "noise". "Secret Power" gave examples of this too.

o Search all traffic for a set of keywords that are found (tuned) over
time to have the best results. SOME of the ones I used:

first day
last day
resi