I wrote up a draft of an article last week on why statistics fail us. What is the mechanism? Are statistics not said to be sure? The pre-eminent example at the moment is COVID-19, where statistics have been adjusted, updated, modified, revised, corrected, and ... deleted. Deletion is a problem for me now, in writing the article. It appears to me that many organisations have deleted earlier statistics, which were far out (statistics not in the sense of numerical data, but in the sense of "pieces of data"). OBSERVATION: Incidentally my own policy on this blog is generally not to wipe out what was there -- rather to offer corrections if need be.
No comments:
Post a Comment