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What Improvements do Models Need to be More Accurate?
Falsifying models to gain insight
Sometimes researchers falsify their models. Why would we do this? This is this process whereby scientists compare their models to observations, and note the differences. The scientists can then identify why their models are wrong, change them, and try again. If the differences between the new model and the observations become less, then they have learned something. A model that matches a particular set of observations the first time it is tested is worthless. You might be getting the right answer for the wrong reason. Back to modeling topics
Links and resources
Falsifying models to gain insight
Sometimes researchers falsify their models. Why would we do this? This is this process whereby scientists compare their models to observations, and note the differences. The scientists can then identify why their models are wrong, change them, and try again. If the differences between the new model and the observations become less, then they have learned something. A model that matches a particular set of observations the first time it is tested is worthless. You might be getting the right answer for the wrong reason. Back to modeling topics
Links and resources
