Dedomenocratic response to NBC anchor Brian Williams apology: thanks for the apology

This week, the NBC News anchor Brian Williams made an apology for incorrectly recounting his experience on a helicopter flight during the early part of the war in Iraq.  There continues to be controversy despite the apology and even more controversy about the actual wording of the apology.  Perhaps not surprisingly for an event like…


Weather forecasters fail again in their mission to aid city planners with accurate warnings

A failed forecast is an ideal time to give advancement opportunities to the people who have been waiting for the opportunities. In my last post, I described my skepticism that the more senior professional will be any better than the next in line. For a healthy stable society, we need to take advantage of opportunities to make vacancies for younger people so that they can have their chance to contribute. I don’t doubt that there is a deep pool of very qualified weather professionals who are ready and eager to fill the vacancies of resulting from dismissing the senior-most positions when bad forecasts cause significant harm by causing the consumer urban and emergency planners to over- or under-react.

Further thoughts distinguishing accountability and justice

For accountability, we want to learn from the decision maker the consideration that dismissed the the missed opportunities. A demand for justice can silence the decision maker and thus deny us this opportunity to learn.


Earning super majority consent through accountability

Automating decision making erodes accountability. Also demanding justice from authorities necessarily silences them from being accountable. Essential super-majority consent to government demands accountability instead of justice from officials.


Predictive analytics mindlessly following protocols

The motivation for many big data projects is the use of analytic algorithms such as machine learning to make quickly impose some action based on similarities of current events with earlier events that produced either favorable or undesired outcomes.   These algorithms compare data about present events with data about historic events to produce recommendations…