One problem seems to be that it's too easy to analyze statistics. You can make statistics back up just about any point. But what people often forget is that correlation not the same as causation. Here's one example from Nyhan's story:
Under the headline "Crushed," Josh Marshall noted that "Of the 39 Dems who voted against Health Care Reform, 12 are going to be returning in the next Congress," suggesting that opposition to reform was a cause of these members' defeats. However, he failed to note that most of anti-HCR members represented competitive districts and that vulnerable Democrats who opposed reform appeared to perform somewhat better than their pro-HCR counterparts.
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