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TV AND RADIO AUDIENCE RATINGS
All statistical ratings compiled to measure audience levels of radio
and TV programs may too often be based on too small of a sample of
people taken from the whole universe of available users to be able to
get TRULY statistically valid and reliable results! For example, a
sample of just 300 people may be used to represent millions of viewers
or listeners. Our tastes in entertainment programming are so fickle,
how could a small sample of people be representative of millions of
fickle entertainment program viewers and listeners?
It is easier to get a "bad" sample than it is to get a "good" one.
Radio and TV advertising sales managers, whose programs are currently
"down" in the ratings, are forever complaining to the ratings services
about the demographically lopsided samples taken and used to detemine
the size and demographic make-up of the audience tuning in to media
programming.
Audience ratings services never mention the sometime pathetic
response rate to audience surveys or possible biases of the
quantitative and qualitative instruments used to measure audience size
and demographic make-up. You rarely hear about ratings service
discrepancies, inaccuracies and the under-sampling of certain
demographic groups of people when it comes to accurately measuring the
"targeted" sample of people.
In their zealous quest to end up with so-called valid and reliable
results, audience ratings services may possibly overlook discrepancies
and inconsistencies in their own data gathering procedures!
The end result is billions of advertising dollars may be spent each
year on nothing more than potentiallly unreliable, invalid audience
research and surveys. Remember, in scientific inquiry, unlike the
"experiment", the "survey" happens to be the least reliable tool of
scientific inquiry and research. The rule in survey research is, if
you observe it you may disturb it, meaning any results coming out of
survey research may be pretentious and contrived therefore
questionable as to its validity and reliablility because in surveys
the sample sizes are typically too small with too many uncontrollable
variables, as well as built-in research biases and weaknesses, to ever
get conclusive, realistic statistics!
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