Could you be bothered to refresh me on what regression to the mean means? I seem to remember some of this from General Ed statistics at UCSC twenty years ago...
Regression toward the mean is the effect of looking at outliers of a sample and finding them to be closer in the next measurement. This effect is strongest when the samples and the method to collect them are identical and dominated by statistical error. In that case one expects that an outlier is really just a statistical fluke and the next measurement will have high probability of landing closer to the mean.
This does not apply if there are systematic differences in the samples. It also should be used with caution in polls, since it really applies to individual measurements (like batting averages or exam scores), and is less applicable for a measurement which is itself a statistical sample of measurements.