Topics
- Counting, recounting and miscounting (17)
- Opinion and other polls (5)
- Rates (3)
- Faking measurements (3)
- Financial/investment indicators (2)
- How averages distort indicators (4)
- How people react to measurements (3)
- Identifying changes in indicators (7)
- Process control (6)
- Time series (1)
- Measuring accurately with instruments (6)
- Measuring Controversial Issues (25)
- Economic indicators (19)
- Measuring inflation (6)
- Poverty (1)
- Probability of being misled (2)
- Rating, scoring and ranking reliably (1)
- Stock ratings (1)
- Uncategorized (6)
- What indicators indicate (27)
- Why performance dashboards mislead (6)
- Why risk cannot be measured (8)
- Bond ratings (5)
- Measuring industrial safety (2)
- probability (2)
- Probability of being misled (1)
- Value at risk (1)
Recent Posts
- Reinhart and Rogoff story shows how important it is to check your indicators
- Top ten reasons for reading misLeading Indicators: How to Reliably Measure your Business
- How Western Electric rules mislead in statistical process control
- The Department of Justice will have a tough time proving that Standard and Poors “inflated” its bond ratings.
- The bond trader’s fallacy
- Lance Armstrong doping case and bond defaults show challenges of probabilistic reasoning
- The Curse of Kelvin
- Core earnings: Is new metric misleading?
- Core earnings don’t get to the heart of profitability
- The biggest storm? That’s hot air.
Recent Comments
- Julia on What business can learn from government statisticians
- BI in Barcelona, Scary Big Data, Cool 3D Analytics and More on Lance Armstrong doping case and bond defaults show challenges of probabilistic reasoning
- BI in Barcelona, Scary Big Data, Cool 3D Analytics and More | Business Analytics on Lance Armstrong doping case and bond defaults show challenges of probabilistic reasoning
- Phil Green on Lance Armstrong doping case and bond defaults show challenges of probabilistic reasoning
- Timo Elliott on Lance Armstrong doping case and bond defaults show challenges of probabilistic reasoning
Why software development productivity cannot be measured
The cost of developing software can be significant for any business. So it would make sense to try and measure the productivity of software development efforts. Trouble is, there is no way to even define productivity in this case. There is no definition of the output of software development: is it a line of code? [...]
Buy Your Copy
On sale Feb 29, 2012
Price $48
(In stock now). (In stock now)Order ebooks 1-800-368-6868 (7am to 430pm PST, Mon-Fri) or 805-968-1911 ext 312
Buy Amazon US
In stock.
Buy Amazon Canada
In stock
Read the first two chapters: Click here.
Tag Cloud
advsertising baseball bonds cancer census compliance cooking data credit rating customer complaints customer service dashboard debt earnings economic activity election exception reporting experimentation Facebook fashion industry gambler's fallacy gas pump GDP government statistics investment jobs Kord Kelvin leading indicator media mineral resources Obama Olympics p-value poverty probability profit public health quality of life randomization silver six sigma statistical process control stimulus unemployment unmeasurable wealthArchives
- April 2013 (1)
- March 2013 (1)
- February 2013 (2)
- January 2013 (2)
- December 2012 (2)
- November 2012 (1)
- October 2012 (2)
- September 2012 (2)
- August 2012 (3)
- July 2012 (2)
- June 2012 (2)
- May 2012 (2)
- April 2012 (2)
- March 2012 (1)
- February 2012 (2)
- January 2012 (2)
- December 2011 (3)
- November 2011 (2)
- October 2011 (2)
- September 2011 (3)
- August 2011 (1)
- July 2011 (1)
- June 2011 (2)
- May 2011 (2)
- April 2011 (2)
- March 2011 (3)
- February 2011 (2)
- January 2011 (3)
- December 2010 (2)
- November 2010 (3)
- October 2010 (3)
- September 2010 (4)
- August 2010 (9)
- July 2010 (3)