By Joel Bowman, on October 14th, 2018% I’m old enough to know that the U.S. hasn’t always enjoyed a peaceful political process. At one point, we had a major bell curve, with the right and left extremes representing only a few, and the big bulge in the middle consisting of those with more moderate views. We now seem to have bimodal distribution with the big bulges representing the extremes. The divisions lead to class conflict, which at its worse can become class warfare.
Class warfare begins when the division between rich and poor is extreme. The poor outnumber the rich, and when they decide that they . . . → Read More: Civil Unrest
By Joel Bowman, on March 24th, 2018% Back in 1994, Richard J. Herrnstein and Charles Murray wrote a book, The Bell Curve, pointing out an inconvenient truth: half the population has below average intelligence. While much of what they said was considered controversial for a variety of reasons, the basic concept is incontrovertible. Half the population is below average when it comes to intelligence. George Carlin said, “Think of how stupid the average person is, and realize half of them are stupider than that.
In and of itself, that isn’t a major problem, as intelligence does not account for the main differences in human behavior. It . . . → Read More: The Bell Curve
By Joel Bowman, on February 1st, 2013% In some ways this blog entry ties back to my previous posts on Choice Points: “Forks in the Road” and Evidence Procedures. One of the things I have been noticing about recent political debates is how often people, and perhaps especially politicians, seem to be absolutely sure of so many things.
Bell Curve
In statistical terms, when we measure most populations on most scales (such as height, weight, IQ, education, age at death, etc.) the result is the familiar bell shape of Pareto’s Law.
It make sense: Some people are really tall, some are really short, and . . . → Read More: Yes, No, or It Depends?
By Joel Bowman, on April 15th, 2011% The “Bell Curve” is the common expression for what is otherwise known as Standard Normal Distribution. The concept basically states that in any category, most members of the category will be grouped in the middle, with fewer members at the extremes. Wikipedia provides a fancy definition:
In probability theory, the normal (or Gaussian) distribution, is a continuous probability distribution that is often used as a first approximation to describe real-valued random variables that tend to cluster around a single mean value. The graph of the associated probability density function is “bell”-shaped, and is known as the Gaussian function or . . . → Read More: The Bell Curve Theory of Life
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