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If you’re posting a chart in the NYTimes, you’d better have read your Stephen Few and Edward Tufte. When your charts are the main support for your story, you’d better get them right. Bilton did get the table of numbers to the left of the pie charts correct.The first ins are more forgiving than the last ins. My brother, an avid tech geek, is an early adopter of lots of tech gadgets.

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So let’s see, do the one star ratings vary between the Amazon Verified Purchaser reviews compared to the non-Amazon Verified Purchaser reviews? It’s clear from these charts that the reviewers who didn’t purchase a Kindle are much more likely to give a one star rating compared to the reviewers who Amazon verified as purchasing the Kindle.

With each Kindle release, the non-verified Kindle owners were consistently four times more likely to give a one star review than the Amazon Verified Reviewers—the ones who actually purchased a Kindle. Let’s look at the reviews from the verified purchasers.

Amazon,, analytics, bad graph, bad pie chart, bar chart, Bits blog, business intelligence, business intelligence guru, data visualization, data viz, info viz, information visualization, Kindle, Kindle DX, Marc Harfeld, New York Times, Nick Bilton, pie chart, Seth Godin “Is Amazon Working Backward? Bilton should know better than to use pie charts because it’s really hard to determine the percentages when we’re looking at parts of a circle. Perhaps he’d be better served by relying on them over the pie charts to make his point. When you’re analyzing something, you shouldn’t compare opposite populations while ignoring their differences. Godin cited 4 specific problems with the piece, ranging from the graphs being wrong (later corrected) to Bilton misunderstanding the nature of early adopters. Godin writes, “Many of the reviews are from people who don’t own the device.” Obviously, it’s hard to take a review of a Kindle seriously if the reviewer doesn’t own a Kindle.

” That’s the title of NYTimes blogger Nick Bilton post on Dec 24, 2009. Bilton is writing about Amazon’s product, the Kindle. These are the different populations I’m talking about in item #3 above. Godin’s concerns with Bilton’s post now and fill in some of the gaps that Godin left to be filled. Bilton tried to make the case that each new version of the Kindle is worse than the one before it.

Regarding the Kindle, he writes, “customers aren’t getting any happier about the end product.” The day Mr. His argument is based almost exclusively on the pie charts below, specifically, the gold slices of each pie. Despite difficulties in estimating the size of each slice in a pie chart, it is apparent that the 7% slice in the first pie chart is much larger than 7%. Another problem Godin has with Bilton’s piece goes to the nature of early adopters.