Blog
Why I ignore most "extrapolations"
Bill Schweber
3/31/2011 9:25 AM EDT
The other day, I heard yet another alleged expert proclaiming "at this rate, in 10 years, we'll be at such-and-such point". [I know don't remember exactly what the subject was; it doesn't matter.] Guess what? I now tune out almost every pundit or futurist who uses the phrase "at this rate."
Why? Simple: such extrapolations are an easy but lazy way of emphatically making a point, but are usually based on meaningless straight-line extensions of data or, worse, exponential trending. As engineers, we know that trends cannot continue forever nor even very long, that they rarely continue in a straight line, and that even a modest fixed-percentage change in some variable compounds to a very large (or small) number fairly quickly. For example, if you look at statistics which show global population growth of say, 4% per year, and the Earth's population now is 6 or 7 billion, you could glibly say that the population will double in 17.5 years to between 12 and 14 billion.
While that is mathematically true, it will happen in the real world only if you accept as unchanging fact that the rate of increase is fixed with nothing to slow it down, or even stop it. We know that reality is that boundaries, limits, feedback loops, and asymptotes push back against such easy trend-line extensions, whether it is semiconductor process trends, power consumption, die size, or project management.
So when an industry expert exclaims, for example, that product-design cycles are shrinking, and have gone from 24 months down to eight months in the past five years, and then draws a conclusion by adding something like "if this trend continues. . . .", I ignore the rest. OK, what will happen if this trend continues? Will the product-design cycle time go to zero? Will it go negative? Obviously, there is some limit on how short a new-product cycle can be, and it's somewhat greater than zero. And even a basic parameter such as temperature rise can't go on for too long.
In his excellent book Innumeracy: Mathematical Illiteracy and Its Consequences, John Allen Paulos explored this issue of misuse and misunderstanding of basic numerical concepts (the web site here is fascinating) and the situation has gotten worse since the book was published in 1988. I think there are several reasons for this:
- the decline in basic mathematics education,
- the ease with which numbers and statistics are now generated and overanalyzed,
- and perhaps most important, the need for lobbyists, fund-seekers, activists for all sorts of causes, and the media to try get attention and stand out from the never-ending flow of data, and get above the background noise, by crying "wolf" more loudly and more often.
Or, being cynical here: it's very often a way of saying "at this rate, we're all going to die soon due to xyz, if you don’t give us more funding" while trying to add some credibility from the imprimatur of mathematical certainty.
What quasi-mathematical statements turn you off, or do you routinely ignore. What examples of innumeracy do you see which especially annoy you, either within the engineering community or in the general media? ♦



Silicon_Smith
3/31/2011 10:27 AM EDT
Thats why we have supercomputers calculating system dynamics for critical projects like nuclear energy, space vehicles and global economy. No trending there.
Sign in to Reply
Rick Nelson
3/31/2011 11:02 AM EDT
What quasi-mathematical statements turn me off? Predictions about lost productivity (usually in the $millions or $billions) because of some sporting or other event that will distract workers.
Sign in to Reply
fajita
3/31/2011 12:16 PM EDT
i love that innumeracy book! i've been using that on all my Lit Major friends for decades!
i agree with this article thoroughly, but i do want to make sure we remember the miracle of quasi-math laws: moore's law.
that thing is the one and only legitimate one, and it's been in effect for nearly 40 years, though we may be finally coming to the end of it (how many times has that been said about moore's law??).
Sign in to Reply
ndancer
3/31/2011 4:30 PM EDT
At this rate, statistically inaccuracies will totally overwhelm us and swamp us fifty feet deep under discarded AOL CD's in less that twenty-leben years!
Sign in to Reply
Rich Krajewski
3/31/2011 8:00 PM EDT
I agree, extrapolations are easy and lazy ways to forecast. There are better ways, right at our fingertips. Neural nets are particularly useful.
Sign in to Reply
David Ashton
4/3/2011 5:49 AM EDT
Who was it who said "There are Lies, Damned Lies, and Statistics"? (Just googled, Mark Twain popularised it but attributed it to Benjamin Disraeli, but that's doubtful....)
Very applicable here though, bad statistics and bad extrapolations are closely related. At this rate, nothing we read in a couple of years time will be able to be believed.... :-)
Sign in to Reply
Jeff.Petro
4/11/2011 10:43 AM EDT
Take the fraction 0/0 (zero over zero). Using extrapolation this is equal to 0, 1 or infinity.
0/3 = 0/2 = 0/1 = 0 therefore 0/0 = 0
3/3 = 2/2 = 1/1 = 1 therefore 0/0 = 1
3/0 = 2/0 = 1/0 = infinity therefore 0/0 = infinity
With the ability to skew the numbers like this, I think I missed my calling as a marketer (or politician)
Sign in to Reply
rikin
4/14/2011 9:55 AM EDT
Hello Jeff;
Mathematically, you just summed up the entire article by Bill Schweber with three equations.
Sign in to Reply
HereBeDragons
4/18/2011 12:21 AM EDT
Statistics can prove anything:
About 30% of traffic accidents are caused by drunk drivers.
Therefore 60% of accidents are caused by sober drivers.
Therefore it's safer to drive drunk than sober!!!
Sign in to Reply
Carlos1966
4/21/2011 10:43 AM EDT
Dragons,
I see you don't believe in the law of the excluded middle.:-)
Sign in to Reply
peter.clarke
4/18/2011 5:19 AM EDT
But not to do statistics!
Sign in to Reply