I've been reading Schumacher's "Small is Beautiful" recently -- quite an old book now but still worth a read. He writes very clearly, and the subject matter of the book is mostly still relevant, and the key ideas still thought-provoking. He shows uncommon foresight on a few topics. For example, he talks about the near certainly of a future where oil is scarce & expensive, and he was doing so before even the 1970's oil shocks. He also talks about the folly of eroding natural capital long before it was common to do this. But perhaps most interestingly, he identifies the process where a void in values (created by the decline of religion) was being filled by economics, and despite being an economist, he thought this dangerous. He thought it far safer to rely on traditional cultural & religious value systems than to subject everything to economic cost benefit analysis. I think this last point is especially interesting because, while most economists will probably baulk at it, recent events lend weight to Schumacher's view. For example, look at all the economic debate and analysis that has gone into climate change, and look where it has got us. Wouldn't we have done better developing a value system where caring for our planet was more than just an economic consideration, but something sacred?
Schumacher wasnt a hippy or anything either, nor was he a fuzzy-minded economist who hated the reduction of everything to numbers because he himself couldnt do any maths. In fact, he was a competent mathematician. This makes some of what he has to say about model-building in the later chapters of his book particularly interesting. Being a bit of a data-cruncher and model builder myself, I liked the quotes in particular, which are right on the money, and which I think should be compulsory reading for any model builder:
"Crude methods of forecasting ... are not likely to lead into the errors of spurious verisimilitude and spurious detailing -- the two greatest vices of the statistician. Once you have a formula and an electronic computer, there is an awful temptation to squeeze the lemon until it is dry and present a picture of the future which through its very precision and verisimilitude carries conviction. Yet a man who uses an imaginary map, thinking it a true one, is likely to be worse off than someone with no map at all; for he will fail to inquire wherever he can, to observe every detail on his way, and to search continuously with all his senses and all his intelligence for indications of where he should go.
The person who makes the forecasts may still have a precise appreciation of the assumptions on which they are based. But the person who uses the forecasts may have no idea at all that the whole edifice, as is often the case, stands and falls with one single, unverifiable assumption. He is impressed by the thoroughness of the job done, by the fact that everything seems to 'add up;, and so forth. If the forecasts were presented quite artlessly, as it were, on the back of an envelope, he would have a much better chance of appreciating their tenuous character and the fact that, forecasts or no forecasts, someone has to take an entrepreneurial decision about the unknown future."
I wish I could say I had never fallen for the temptation to go for a complex model with 'rich' outputs, when it would have been essentially as accurate, and less misleading, to present a few back of the envelope projections.....
2 comments:
Was it Einstein or Occam that said "keep it as simple as possible, but no simpler". Great advice but I don't think anyone modeling people, societies or cities has quite worked out the boundary for the "no simpler" bit.
I guess this is because there isn't that nice black and white distinction, as in mathematical proofs, between what is necessary and what is sufficient. What is sufficient to describe the state and dynamics of cities depends on the question you're asking
Hey Tim, it's been a while since we spoke. Nice to heard from you.
I'm pretty sure it was Einstein btw. And you are right about the difficulty of drawing the right boundary for modelling people/societies/cities -- its a hard thing. If you come across the right balance, do let me know :-)
Post a Comment