Seeing Patterns Where None Exists
Page 8 of Statistics for Experiments by George Box, Willliam Hunter (my father) and Stu Hunter (no relation) shows a graph of the population (of people) versus the number of storks which shows a high correlation. “Although in this example few would be led to hypothesize that the increase in the number of storks caused the observed increase in population, investigators are sometimes guilty of this kind of mistake in other contexts.” And some might make it in this context
Related: Illusion of Explanatory Depth - Illusions, Optical and Other - Theory of Knowledge - Sarah, aged 3, Learns About Soap
Curious Cat Science and Engineering Blog © curiouscat.com 2005-2008 powered by WordPress
Curious Cat Alumni Connections
June 19th, 2007 at 8:59 am
We have tendencies that lead us to draw faulty conclusions from data. Given that it is important to understand what common mistakes are made to help us counter the natural tendencies…
October 30th, 2007 at 7:44 pm
When people are asked to explain random variations in data they will make up special causes (that they often even believe are special causes even when they are not) but you can improve management a great deal by just stopping the requirement to “explain” common cause variation…
February 23rd, 2008 at 9:07 pm
I must admit, when I first read the quote I thought that it must be an wrong. But there is the math. You save 111 gallons improving from 15 mpg to 18 mpg and just 100 improving from 50 to 100 mpg…
July 13th, 2008 at 6:50 pm
actually having a 500 year flood actually increases the odds for it happening again (because the data now includes that case which had not been included before)…