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#11 | ||
barely disguised asshole, keeper of all that is holy.
Join Date: Nov 2007
Posts: 23,401
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Quote:
What was their political affiliation? Unknown How were the questions phrased? Unknown What was the number of people sampled? Answered From what geographic region? Unknown Were the respondents evenly distributed? Unknown Quote:
Gallup, like all reputable national polling organizations, uses widely accepted statistical techniques for the sample to be representative of age, income, region, political affiliation, etc. then the data is "weighted" to even more accurately represent the total population. Standardized protocols are also used to minimize question bias.[/quote] I don’t think anyone here is a poll expert, but many times these things seem to be biased. They repeatedly state how they want to or try to minimize the bias or statistical inaccuracies. They try to accurately represent a huge number of people based on percentage wise, a miniscule sampling. I’m not against polls, but there are too many variables that are never answered. Not the least of which in this case is who actually responded. Aside from their age there is no answer. It was a national poll, but was there an even sampling of the data nationally or did more people respond from one area versus another? I think the outcome would be very different if they asked those in the northeast versus the west coast, for example. Or more importantly let’s say they attempted to reach an even number of people from as diverse a group as possible. It is not clear whether one party responded more than another did. Another example is the time of day polls are conducted. If they are calling during normal business hours, are they getting a relative sampling of those people or is the data skewed? Of course the data is skewed, it has to be. I am not implying that this poll or any other is intentionally doing this. It is just the way it is. It is nowhere near an exact science. Also, how are they weighting the data? Of course you can. But isn't that why you posted this poll, because you liked it?
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