sbrower

This is some of what you can do with the data. (Saying the providing the info is voluntary doesn't mean much. If you use a FF# or a credit card then they already have the "voluntary" information. And if you don't have a FF# or a Credit Card in your record, then you will probably receives additional examination.)

The purpose of this outline is to suggest data points which may be relevant either directly or by derivation - some may be relevant to an increase in security screening, some to a decrease and some may be statistically unreliable - I am only extrapolating data points and have not undertaken to determine the specific relevance
1. Computer Generated
1.1. Direct in PNR
1.1.1. One way v. multi-destination
1.1.1.1. This indicator is so commonly discussed that it may have lost relevance except for low-level couriers where cost is an issue
1.1.2. Type of airline equipment
1.1.2.1. Flights on small prop planes are less-sensitive, for example
1.1.3. Origin/destination sensitivity
1.1.3.1. Certain routings, such as transcontinental, or flights to/from Washington, D.C. or other significant venues - even one-way flights, with connections, are probably lower concern because the passenger is willing to accept the possibility of a mis-connect
1.1.4. Fare class sensitivity
1.1.4.1. Was the passenger more interested in cost or in a particular flight/routing, probably used in combination with historical data to show whether this is an anomaly - if a passenger has previously flown from LAX-JFK, when LGB-JFK is far cheaper, it might get a lower score on this particular test than if someone has previously demonstrated price sensitivity and is now undertaking a substantially more expensive option
1.1.5. Seating location
1.1.5.1. Class of service
1.1.5.1.1. Business class, on a 3 class 767, is almost certainly not a terrorist - additional cost, without being substantially closer to the cockpit - but on some 747's, for example, where business class has the upper deck, business class is the relevant indicator and first class become less likely
1.1.5.2. Aisle seat v. window seat
1.1.5.2.1. A person taking a window seat will need to climb over others - for this reason, it appears that FAM's never take anything other than an aisle seat (incidentally, making FAM's more easy to identify)
1.1.5.3. Front v. back of the plane
1.1.5.4. Personal seat selection v. default
1.1.5.4.1. If the seat was selected by the computer, and not by the passenger, then the location of the seat is less relevant - it is very likely that someone with "plans" will have selected a specific seat
1.1.6. Traveling with others
1.1.6.1. Children in same record
1.1.6.1.1. Probably a lower score, since children are less reliable accomplises
1.1.6.2. Companion in same record with different seat location
1.1.6.2.1. Business associates and family usually try to travel together, so disjointed seating locations may have significance
1.1.7. Upgrade request
1.1.7.1. Less likely suspect because upgrade could result in different seating, out of sight of others, too variable for planned operation
1.1.8. Method of payment
1.1.8.1. Cash
1.1.8.2. Third-party credit card
1.1.8.2.1. Run all the same database checks which are run on passenger name
1.1.8.3. Award
1.1.8.3.1. May be less likely to be a terrorist traveling on an award
1.1.9. Frequent flyer history
1.1.9.1. May help to establish 20+ years of flying, U.S. residency, flight patterns
1.1.10. Date when reservation was made
1.1.10.1. May be significant if it was very recent and/or very old
1.1.10.1.1. A reservation made 300+ days in advance, for example, is unlikely to be a planned terrorist flight
1.1.11. Source of reservation
1.1.11.1. Personal v. travel agent
1.1.11.2. Number of contacts for reconfirmation
1.1.12. Location of Boarding Pass Issuance
1.1.12.1. This is something available in the system - I do not yet have a conclusion about how I would distinguish between advance web pass, travel agent, automated check-in, etc. - although in-person check in is probably a slightly lower score
1.1.13. Checked luggage
1.1.13.1. Number of items, weight of items, type of items
1.1.13.1.1. A bicycle or a live animal or a vaulting pole are probably not complications sought by a terrorist
1.1.14. Name type
1.1.14.1. Ethnicity
1.1.14.2. Commonality for pseydonym check
1.1.14.3. Database checks
1.1.14.3.1. Post office address records
1.1.14.3.1.1. Changes, amount of time that address has been valid, confirmation of name
1.1.14.3.2. Pilot license
1.1.14.3.3. Watch list
1.1.14.3.4. Recent travel patterns
1.1.14.3.5. Credit history for time of usage, depth of involvement in economy
1.1.14.3.6. Birth records, marriage records, death records
1.1.14.3.7. Criminal court records including arrest and conviction
1.1.14.3.8. Social security records re: length of time working in US, address history
1.1.14.3.9. Immigration records
1.1.14.3.10. Travel history based on border check records
1.1.14.3.11. DMV records to confirm sex, age, height, weight, hair color
1.1.14.3.11.1. Obtain picture and/or thumb print for confirmation
1.1.15. Address/phone lookup
1.1.15.1. Telephone ownership records for all call back numbers provided
1.1.15.2. Telephone call records for unusual activity, calls to foreign countries
1.1.15.3. Cross-reference phone numbers to other reservations by this person and by other persons
1.1.16. Meal request
1.1.16.1. This might not provide any information because planning might not include selection of special meal
1.2. Inquiry/input
1.2.1. Agents could be prompted to input age, sex, hair color, height, weight, etc.
1.2.2. Gate could be prompted (or required) to input information about carry-ons, number and type
2. On-site observation

This information is all in the PNR or available by linking to databases.

MrAndy1369

To sbrower:

What is all that information on there? Are all those data on my PNR?! Youve gotta be kidding me.