by shortonsense » Sun 26 Apr 2009, 20:45:44
$this->bbcode_second_pass_quote('Doly', 'O')f course you may ask questions! That was the point of posting here. I'm not a regular poster as I used to be (not working in a callcentre any more with plenty of five-minute gaps to fill in the day), but I still believe in discussion forums.
Excellent. Then I shall start with a basic one which you have stated early in your article, but did not elaborate on.
Section 2.1 quoted as:
"One of the criticisms levelled at World3, that has been often repeated with other global models, is that there is so much uncertainty in so many of the relevant variables, that there isn’t any point in the exercise of modelling at all.
While it’s true that there is a lot of uncertainty, it’s worth remembering that this won’t stop people making models of the world."
The statement on the surface is completely reasonable. The question about this statement is as follows:
What efforts were made to test the sensitivity of your final answer on ANY of the uncertainties involved in your core assumptions?
If, for example, a single percentage point deviation from actual on a single core assumption ( say, the equation which you use to schedule the volume of a particular resources supply volume based on its ultimate size ) allowing the model to return answers in short time periods of either 0 or infinity would in fact make the model completely useless, as you are already aware.
Without the sensitivity testing you would never know that this equation could introduce such a lethal uncertainty into the entire model. This uncertainty has nothing to do with the expert quality of the data which went into it, or the amount of effort, it is just an artifact of how the model was assembled around this particular equation.
I would also ask about Graph 3.1.2.1 representing the flow diagram to model energy demand. I did not see an explanation on correlation between the various components or how they were handled?
For that matter I didn't see correlations handled anywhere. For example, the correlation between the reserve numbers you used and the political stability necessary to utilize those reserves? The correlation between climate change which is implicit in the model and used to negatively effect agriculture, and the heating demand figure you assumed at 400 kg/capita? I would think that there would be a negative correlation there of some size ( less agriculture because of CO2, more heat, less heating demand, correlation of -0.25 or some such? ).
I have others of course, but those are good for starters.