The statistician began his evidence to Parliament. “I
imagine you’re all aware of the natural or Gaussian distribution, a bell shaped
curve like this”, he showed an example. They all nodded sagely. “In the present
unrest where a relatively small proportion of the populous are demonstrating on
the streets one might well assume, in the distribution between approval and
disapproval, the disapprovers would appear on the left at the beginning of the
curve,” he showed a small section of a curve filled in red, “a small proportion
of those prone to extreme dissatisfaction.” The PM was heard to say, “Exactly. I don’t know what all the fuss is
about.” The statistician continued. “If say 2% of the population riot then 98%
must support your policies. Vigorous nodding and vociferous approval. “I’m glad
you see the power of statistical analysis. I have though here another distribution
curve that compares one’s opinion with one’s decision to take action.” He held
up a new diagram similar to the previous one. “On the left are the individuals
who, on issues that concerns them, always take action and the right those who
never take action. Let’s say 0% and 100%. Notice for this distribution the
median occurs at around 2% on that scale.” “Exactly as one might expect” added
one helpful member. The PM joined in, “It seems to me you’re rather stating the
obvious.” “On the contrary Prime Minister. This distribution indicates that for
every individual that takes action on some concern there are forty to fifty
people who do not; one presumes through laziness, illness, fear, inconvenience
etc. Perhaps you can begin to see the implications. The one million that took
to the streets against the Iraq war in fact represented some forty million that
didn’t but had the same concern, that’s over 70% of the population.” “That’s a
totally unfounded assumption, it’s preposterous” retorted the PM. “Please consider
this. One million took action against and exactly how many took action for?
Records show as many as fifty thousand. On that same basis, that they each
represented 40 to 50 people, they accounted for around 3 million. In total 53
million plus 7 million don’t knows.” “In other words over half the population
have an opinion but don’t act on it. Am I right?” interjected the PM.
“Exactly.” “Then what are we worrying about?” “Our third distribution (to
general groans) was with regard to this. One might consider it the first
differential of the previous one, the rate of change of opinion. Because the
median, the mass of the people, was at 2% it’s clear that any small change in
that median will affect a huge number of people. A 1% change for example would
put 2 million on the streets, with many thousand prepared for violent action.
It represents great volatility, the nearness of a tipping point; the very
reason you called me here today. According to this statistical analysis
gentlemen there will shortly be a revolution.”
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