1. by : David K

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Look for bias
The presenter may look towards a selection of
favorable data in an act to hide the data that
really doesn’t support his conclusion.
Who says so? Many times we hear a study from a
universities, scientific laboratories, medical
professional; should we believe it? Please note
that while the data may have came from Cornell
the conclusion is entirely dependent on the
writer. So yes the study my be true but what the
presenter wants to come a crossed may be
emphasized and bias.

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You need to ask yourself is the sample large
enough to permit any reliable conclusion.
The Journal polled 1200 large companies and
only 14% replied and the other 86% did not
care to say whether they were raising their
prices.
It came down to this 1200 companies polled
9% said they had not raised prices, 5% said
they had and 86% would not say.

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Watch out for a switch between raw figures
and conclusion.
For example more reported cases of a disease
is not always the same thing as more cases of
the disease.
If a long term problem is being tackled, as a
result of the efforts some cases recorded in
other years would have been overlooked or
unrecognized.

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Its important to remember one thing the
trend-to-now may be a fact but the future
trend is no more than an educated guess.
For example. The number of Television sets
in American homes increased around 10,000
percent from 1947 to 1952. Project this for
the next five years soon we will have 40 sets
per family. Its like saying you can prove that
soon every family will have 40,000 sets.