My study is NOT as a climatologist, but from a completely different perspective in which I am an expert … For decades, as a professional experimental test engineer, I have analyzed experimental data and watched others massage and present data. I became a cynic; My conclusion - 'if someone is aggressively selling a technical product who's merits are dependent on complex experimental data, he is likely lying'. That is true whether the product is an airplane or a Carbon Credit.
Data in our psychic program is often nonlinear, nonhierarchical, archaic, alive, and teeming with paradox. Simply booting up is a challenge, if not for no other reason than that most of us find acknowledging the unknowable and monitoring its intrusions upon the familiar and mundane more than a little embarrassing.
The World Bank is the monopoly provider of poverty data and, partly due to a leadership change there, the World Bank's reporting has been heavily on the rosy side since about 2000. The Bank's cultivation of an upbeat picture affords a very interesting lesson in statistics and how you can, depending on which numbers you present and how you present them, create a more positive or more negative impression of the evolution of poverty.
It's always the balance between the individual's subjective experience and the social structural condition. As individuals we have access to more than we've ever had before. Giving up our data seems a small price to pay, especially if, as you say, we don't feel we have anything to hide.
The whole enterprise of teaching managers is steeped in the ethic of data-driven analytical support. The problem is, the data is only available about the past. So the way weve taught managers to make decisions and consultants to analyze problems condemns them to taking action when its too late.