I've been trying to devise a description of the oddity called polling that would remain true to the mathematics.
Be patient for a paragraph or two.
Scientific statistics
As a scientist, I would devise a premise and a theory so that I could collect data at several different times, vary temperature, vary pressure, and other things called "independent" variables. I wold then match those results to the theory. The theory is a description of how the "stuff" behaves in a reactor at time, temperature, etc... The theory explains the reaction being measured. There is a target value that is "predicted versus actual" and the agreement can be measured. The Higgs Boson is this way.
Polling Statistics
Now polling public opinion is different. It has no model or theory or premise. Nothing explains the way the public votes. Even past behavior is no predictor of future behavior with any great degree of certainty.
This lack of a "theory" is why STATISTICS for polling is different than STATISTICS for science experiments.
There is no predicted value. There is only one result, the election.
What this means is that political polling isn't "obeying" and underlying theory, it is merely a measure of opinion on that day at that time.
Take for example the "Daily Tracking Polls" ...
Gallup and Rasmussen do daily tracking polls and then average the results of 7 and 4 days respectively.
A daily poll allows a smaller sample because the "margins of error" are calculated on the 4 day total.
Averaging a daily poll over 4 or 7 days is supposed to smooth out the variations in the data (we call that scatter) ..
For example:
The current Gallup Daily Tracking poll just swung 4 points for Obama. That's not a good thing for this poll to do.
There is no clear reason for Obama to be "up" in a poll today, no explanatory public event. There is no clear reason for ROmney to have lost 4 points in one day.
That means that the Gallup Daily Tracker is still way to subject to sample variations to be trusted beyond what I said in the other thread --- trust only the aggregate number, the long average that you can see scattered on a graph.
This is also happening in Rasmussen's Daily Tracker.
This isn't fitting measured results to a predicted curve. This is taking samples and then look back for a trend.
Now we've reach that point I made in the other post --- the past is not a predictor of the future
Nothing predicts public opinion ahead of time.
Look at a graph of all the polls against the date they were taken. You cannot draw a line beyond the last polling date. HOWEVER, you can see if a candidate is rising or falling over time.
That brings us back to the 47/47 split that I spoke about before.
There's more involved in the polling than just these few points but this is the start of understanding the special nature of polls and why they don't behave the way we think they might. I will add that Stock Market Statistics are similar to Polling in that they do not have an underlying theory. HOWEVER, there are some very good stock predicting programs out there that do make money most of the time. The thing is, like an election, the stock markets are subject to that variable of public opinion and the public behaves the way it wants -- sometimes illogically, irrationally, and unpredictably.
Hey, we're human, aren't we?
Real science is statistically never irrational, illogical or unpredictable.


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