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<blockquote data-quote="Umbran" data-source="post: 5135043" data-attributes="member: 177">That is not correct.&nbsp; Whether or not a model has predictive power depends on how it resembles reality.That scale model of the Eiffel tower, or a kid's plastic scale model airplane, does not necessarily resemble the Eiffel Tower except visually.&nbsp; Unless you want to claim &quot;show how the real tower looks&quot; as a prediction, such models have no predictive power.In order to be predictive, there needs to be a mechanism for the model to take data of a circumstance and then present some result that predicts how reality will behave.&nbsp; So, for example, with an atmospheric model, you feed the model some hypothetical or real data, and it spits out what tomorrow's weather will be.&nbsp; With a structural model you put the model under some load, and you watch how it performs, and you draw analogy to how a real structure will behave.GNS lacks any place to hook in your data to get a prediction out.</blockquote>

[QUOTE="Umbran, post: 5135043, member: 177"] That is not correct. Whether or not a model has predictive power depends on how it resembles reality. That scale model of the Eiffel tower, or a kid's plastic scale model airplane, does not necessarily resemble the Eiffel Tower except visually. Unless you want to claim "show how the real tower looks" as a prediction, such models have no predictive power. In order to be predictive, there needs to be a mechanism for the model to take data of a circumstance and then present some result that predicts how reality will behave. So, for example, with an atmospheric model, you feed the model some hypothetical or real data, and it spits out what tomorrow's weather will be. With a structural model you put the model under some load, and you watch how it performs, and you draw analogy to how a real structure will behave. GNS lacks any place to hook in your data to get a prediction out. [/QUOTE]

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