Even a fairly calm day in the polling, like the past couple of days, can give people opportunities to see what they want to see in the data.
The most egregious form of this is cherry-picking the three or four polling results that you like best for your candidate. The vast majority of the time, you can find a couple that are favorable for your side.
If you looked at only the three best national polls for President Obama on Monday, you would conclude that he was 3 points ahead in the national race. If you looked at only Mitt Romney's three best polls, you would say that he was ahead by 2 points instead.
Most people avoid this sort of mistake. It's just too flagrant a case of cherry-picking when 20 polls are published in a day and somebody discusses only two or three of them.
There is a more subtle form of bias, however, that a lot more of us are prone to. That bias is to look at all the data -- except for the two or three data points that you like least, which you dismiss as being "outliers."
If you're a Democrat, for example, and throw out Romney's three most favorable polls from the 10 national surveys published Monday, you can claim that Obama is ahead by 1.3 percentage points. If you're a Republican and do the same thing, dropping Obama's three best polls, you will have Romney ahead by 1 point instead.
That is not quite as biased as cherry-picking the best results -- but it gets you halfway there, and it is easier to rationalize. There is something that can be critiqued about almost every poll: the methodology, or the demographics, or the sample size, or the pollster's history, or something else. Often, these critiques have some truth in them. Not all polls are as methodologically sound as others. But frequently people come up with reasons to avoid looking at the polls they don't like -- while giving a pass to those they do.
Likewise, people sometimes make too much of demographic or geographic subsamples within a poll that make their candidate look good. The most recent Washington Post/ABC poll had Obama performing better in what it termed swing states than in the country as a whole; a recent Gallup poll showed just the opposite.