QUOTE(nickdw @ Dec 9 2004, 07:01 PM)
I wrote a post a while back about polling centers and transparency. When I find it in my archives, I'll post it. It'll answer some questions about the proprietary nature of polling.
Nick
As promised:
Thu, 7 Feb 2002 00:38:32 -0800 (PST)
Subject: Americans coming to their senses
How can we be sure Bush's popularity was 92% to begin with?
I worked for a telecenter that did political surveys. The numbers we
dialed were random but from databases of phone number AREA CODES and
PREFIXES used again and again, so I guess there it depended on your
definition of random. On some jobs the database was uploaded by the client
so the survey was only minimally handled by the third party (telecenter).
So what about demographics? In this article I see lots of percentage
points and 1,545 Americans. Counties? Military personnel voting? Let's see
if I'm a Republican think-tank and I want to influence the survey I'm
putting out wouldn't it make sense to instruct the telecenter to only dial
conservative counties where 80% or more voted for Bush to get that
92%-80%? This is exactly what happened at the telecenter I worked at. Who
says 1,545 was the running total? Perhaps it was 3,000+ originally and
surveys were tossed to favor a certain outcome before going public?
We need double-blind surveys conducted by independent third party
telecenters with proportionate dialing of demographics, including ALL
results, with no surveys getting tossed on the backend. Transparency in
surveying is crucial to accurate polls.
This way you might get 60%-50% favoring Bush, as I suspect the real
numbers reveal or will soon enough.
BTW, I don't know what "weighting" is but the 2000 Census has a margin of
error by a few million people.
http://www.internetional.se/toft/missingmillions.htmThis numbers shifting thing is everywhere and not just in auditing and
accounting.
"How the Poll Was Conducted
The Times Poll contacted 1,545 Americans nationwide by telephone
Jan. 31-Feb. 3. Telephone numbers were chosen from a list of all exchanges
in the nation. Random-digit dialing techniques were used so that listed
and unlisted numbers could be contacted. The entire sample was weighted
slightly to conform with census figures for sex, race, age, education and
region. . ."