If you read SAS blogs but never click through to the comment sections, you're missing some great information.
Need proof? Check out some of these comments from the last few weeks. And then leave one of your own.
Kelly McGuire has been studying the effects of negative hotel reviews online. How do travelers react to user generated photos and reviews? How much do they influence your own reservations? One commenter on McGuire's Reviews, ratings and hotels post says:
I am pragmatic enough to understand that any business dealing with the public will get occasional bad reviews. Some may be deserved while others are generated by a curmudgeon who "got up on the wrong side of the bed." Too many though not offset but higher reviews tells me to avoid a hotel no matter what price point they are out.
Head over to the Analytical Hospitality Executive blog now to read what others are saying, and leave your own comment about hotel reviews.
I think regression to the mean is (vastly) interesting for historical reasons, and thus to the historian Stigler, but maybe for the same reasons isn't such a great thing to pull up as an example of multivariate analyses.
You'll have to read the full statistical wisdom post to learn the seven pillars, and read the comments to learn about possible later edits from Stigler.
Confirmation bias is the topic of conversation on the Data Roundtable blog, when Jim Harris asks, "Can data change an already made up mind?" And what role does data quality play in this type of decision making? Discuss it here.
Where have you commented this week? Or what comments have you seen on other blogs that are worth pointing out?