Posts Tagged ‘stability’

Steady as we go

Sunday, March 1st, 2009

spaceball

424945091_c39322733fJust got back from a ski-holiday in France. As you are skiing in those steady rocks, you don’t really feel that you are actually within an area of – geological spoken – young mountains: round and about 60 million years young. In our timescale there is nothing as solid as a rock. However, for archeologists rock is all but steady. It is hard for us to really understand the timescale of geologists. I remember a ‘geographers talk’ in the Grand Canyon. He disclosed that the Grand Canyon emerged in an extremely short time period: only 17 milioen years. It is quite certain that it wil erode away in a short timescale as well: it is eroding at a pace of 16 centimetres every 1000 years, so it will have been half the depth it has now within 5 million years. In the earth timetable this is peanuts. A geologic whim.

You could argue that within the time frameof human civilisation it is as close as you can get to stability. One million years ago there might have been manlike creatures, but not the home sapiens (or homo ludens as Huizinga calls us or home narrens as Snowden does).

Yet it is a good example of how we underestimate change. It appears as if our mind is inclined to see stability in a world that is all but stable. We have the inclination to forecast the future as a straightforward function of the present. Not so long ago all science fiction literature was all about ‘the cold war in 3000 and something’. The future was – as it always is – an exaggeration of the current state. In the beginning of the 2oth century the big fear in London was that in the further future horses manure would become a major problem. Again, a forecast based upon (at that time) current reality taken to the extreme in the future (think about the mess in a city of 16 million people, half of them riding a horse!).

The funny thing is that we appear to have an extremely short memory. Once we have passed through a phase change, we forget all about the previous states we were in. Take for instance the internet and the on line possibilities. I remember quite vivid the year of 2000 when the internet bubble collapsed. There was a clear concensus in society that internet would not deliver the bright future that it had seemed to do only a short time before. The new business models were not solid enough, there was not enough added value in the internet. Funny how only a few years later Google apparently is thé example of new business models. And presented by the same media that not so long ago were absolutely certain about the internet economy as a failed concept. Funny how, hardly without noticing, our lives changed dramatically in a practical sense. I am writing this with my laptop where it should be according to its name, sitting on the bank (after watching Ajax winning from Utrecht). Checking some English words on my i-phone with the famous Van Dale (a Dutch dictionnary) installed as an applet. Before choosing to watch a movie on the TV I check the rating at www.imdb.com (above 7 you will never be disappointend). If I choose to work, I log in to my office network, finding all reports, agenda, emails that I need to look at.

The interesting thing is not that I can do all this. The interesting thing is that I hardly notice how different this is from only 4 years ago, let alone from the practice when I started to work (in 1989, at Ferro there was one stand alone computer. The idea of a network existed already, but not for small companies like Ferreo). We wrote reports by hand, these were typed out on the single computer we had). I am not living in a constant ‘wow’. It is just that I forgot about how things were a few years ago. Only if I deliberately imagine the before-internet habits I do feel: ‘wow. That is different’. You could blame our memory for this. That would be false. It is not exaclty that our memory is fault, for we do remember the past. It is just that we have accepted the new order as ‘normal’. This blog is not about bad memory, it is about superiour adaptation.

It is exactly this adaptation that creates the second important illusion: the illusion of stability.

Navigating trough traffic jams by neural network

Wednesday, December 10th, 2008

The Dutch radiobroadcasting VPRO has a wonderful science program called ‘noorderlicht‘ (site only available in Dutch, photograph taken from the site). Today one of the guests was Chris van Hinsbergen (sorry for those lacking knowledge of the Dutch language, this interesting curriculum from Chris is available in Dutch only). A young scientist who is working on a smart system to guide us through traffic jams. The current Dutch road has signs with time forecasts (23 minutes driving towards The Hague). These are notorious for wrong time prediction. Chris explained why: the methods used for estimating driving time are extremely simple. Every 500 meter the speed of cars driving by is measured. The system assumes stability in speed and expects this speed not to change. Chris is using a more complex way to estimate the driving time. A neural network will be looking for patterns in all of the speed data, that takes into account the time the speed is measured. No assumptions on traffic jam causes, just a learning system. No assumptions on stability. The neural network will ‘learn’ about patterns that forecast a change in velocity. I see a really interesting comparison to market research and marketing. I mean: how often do we assume stability? How many of our models are based on stability?

Let it snow!

Sunday, November 23rd, 2008

Back from a visit to my father in law who lived to be 89. On our way home: snow. It is interesting to notice the impact of a fairly common meteo phenomenon to traffic, even on a sunday. Even if predicted, it looks as of everyone is caught by surprise. Listening to the radio almost becomes funny. Over and over the warning is broadcasted. Over and over the conclusion on the radio can be heard: this would have been a serious traffic jam if the snow had occurred on a working day. Interesting to hear the comment over and over: the weather will be bad until monday morning rush hour.

This leads me to the interesting phenomenon of the predictable disaster. We know traffic is going to be awful tomorrow morning. We can all prevent this problem with a simple action (take the train, work at home) but we won’t. There are a lot of explanations to be made for this: ‘prisoners dilemma’ (if others stay home, I can drive without a problem), the fact we get used to traffic jams and take them into account, a serious jam is like an accepted excuse for arriving too late, thus the ‘punishment’ is not very severe, we need to get at work if we like it or not.

I would like to emphasis in this occasion another explanation that could be relevant. Human mind is very subject to the ’stability fallacy’. We feel that the world is a stable place and we tend to believe the current state to be the platform we will stay on. Because our memory is highly contextual, the memories of different states are not as accessible as they could be. We know in a rational way that thinks can be different, but it is hard to really feel it. Therefor we are prown to a kind of misleading feeling that things will not be as bad as expected.