philosophy
Posts: 5284
Joined: 2/15/2004 Status: offline
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quote:
ORIGINAL: Mercnbeth quote:
As history shows, computer models are far from perfect...or perhaps even far from perfectable. Consider weather forecasting.....how uniformly accurate is it? philo, Do I have permission to quote you when computer models are used to "prove" the effects and reality of 'global warming'? Computer models may be perfect to predict the future possibility of having a 'global music festival'. ....'course you can Merc However, to be fair to all those computer modellers out there (both of them) you probably also ought to quote something about probability curves. Models, while having a built in inability to be wholly accurate, are quite good at predicting the range of probabilities present. For instance, let's take our model of pahunkboy, which i shall call pahunkboy(1). If we rely on it to tell us everything about pahunkboy we will probably be disappointed and have to go back to the original. However, if we want to know what the likelihood is of pahunkboy going to the shops, then pahunkboy(1) will give us a range of possible answers. Some with a high probability, some with a low one. It wont tell us definitively, but will allow us some idea of how to plan the surprise street party for him...(damn, gave it away). Now let's look at climate models. They wont tell us specific things about the climate, but they do let us see what the probabilities are. As i understand things, the majority of such models suggest that the manmade component of global warming is a) a problem and b) something we can do something about. This is not absolutely certain though. Let's assume it isn't a climate change model, but a whether-my-house-will-catastrophically-catch-fire model. One can feel free to ignore it's suggestion because it isn't an exact thing. However if one is subsequently burned one has only oneself to blame. If said house catching fire also sets fire to everyone elses houses then one is arguably being irresponsible in ignoring the model. Quote away
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