The 4th Annual Management blog roundup is coming to a close soon. This is my 3rd and final review post looking back at 2001, the previous two posts looked at: Gemba Panta Rei and the Lean Six Sigma Blog.
I have special affinity for the use of statistics to understand and improve. I imaging it is both genetic and psychological. My father was a statistician and I have found memories of applying statistical thinking to understand a result or system. I also am comfortable with numbers, and like most people enjoy working with things I have an affinity for.

Mark Anderson
Mark Anderson’s Stats Made Easy blog brings statistical thinking to managers. And this is not an easy thing to do, as one of his posts shows, we have an ability to ignore data we don’t want to know. Wrong more often than right but never in doubt: “Kahneman examined the illusion of skill in a group of investment advisors who competed for annual performance bonuses. He found zero correlation on year-to-year rankings, thus the firm was simply rewarding luck. What I find most interesting is his observation that even when confronted with irrefutable evidence of misplaced confidence in one’s own ability to prognosticate, most people just carry on with the same level of self-assurance.”
That actually practice of experimentation (PDSA…) needs improvement. Too often the iteration component is entirely missing (only one experiment is done). That is likely partially a result another big problem: the experiments are not nearly short enough. Mark offered very wise advice on the Strategy of experimentation: Break it into a series of smaller stages. “The rule-of-thumb I worked from as a process development engineer is not to put more than 25% of your budget into the first experiment, thus allowing the chance to adapt as you work through the project (or abandon it altogether).” And note that, abandon it altogether option. Don’t just proceed with a plan if what you learn makes that option unwise: too often we act based on expectations rather than evidence.
In Why coaches regress to be mean, Mark explained the problem with reacting to common cause variation and “learning” that it helped to do so. “A case in point is the flight instructor who lavishes praise on a training-pilot who makes a lucky landing. Naturally the next result is not so good. Later the pilot bounces in very badly — again purely by chance (a gust of wind). The instructor roars disapproval. That seems to do the trick — the next landing is much smoother.” When you ascribe special causation to common cause variation you often confirm your own biases.
Mark’s blog doesn’t mention six sigma by name in his 2011 posts but the statistical thinking expressed throughout the year make this a must for those working in six sigma programs.
Related: 2009 Curious Cat Management Blog Carnival – 2010 Management Blog Review: Software, Manufacturing and Leadership





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Problems with Management and Business Books
Posted on April 18, 2011 Comments (9)
We really need to change how we improve the practice of management. Far too often management strategies are just the latest fad from some new book that successfully marketed an idea. The marketing effectiveness of a book, or consultant, has very limited correlation to their ability to improve management, in my experience. It is often true that they make very good keynote speakers, however. So if you want an entertaining keynote speaker looking at the authors of the best selling business books may make sense. But if you want to improve management, I don’t see much value in doing so.
Year after year we have the same basic business books repackaged and marketed. They present a magic bullet to solve all your problems. Except their bullet is far from magic. Usually it does more harm than good.
They amazingly oversimplify things to make their bullet seem magic. This also fails miserably in practice. There are usually not good management options that are simple and easy. Usually the answers for what should be done is a lot of “it depends,” which people don’t seem to like.
Authors fail to place their book (or their trademarked strategy they hope turns into a movement/fad) in the appropriate context. Most books just take a few good ideas from decades old practices add a new name and leave off all references to the deep meaning that originally was there. I guess quite often the authors don’t even know enough about management history to know this is the case; I guess they really think their minor tweak to a portion of business process re-engineering is actually new. This also would make it hard for them to place their ideas within a management philosophy.
On a related note, I find it interesting how different the lean manufacturing and six sigma communities are online (and this has been going on for more than a decade). One of the problems with six sigma is there is so little open, building on the practices of six sigma. Everyone is so concerned with their marketing gimmick for six sigma that that don’t move forward a common body of work. This is a serious problem for six sigma. Lean manufacturing benefits hugely from the huge community of those building openly on the body of knowledge and practice of lean. You can find 10 great lean manufacturing blogs without trouble. You will have difficulty finding 3 good six sigma blogs (and even those spend most of the time on other areas – often lean thinking).
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Categories: Books, Deming, Lean thinking, Management, Six sigma
Tags: Books, commentary, Deming, Lean thinking, management, management history, open access, Six sigma