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<blockquote data-quote="Bright Raven" data-source="post: 1582652" data-attributes="member: 27490"><p>There are good models and bad models. Models are the only science that works when every member of a set of subjects cannot be measured. For example, if you are sampling for lead levels in soil, you cannot take the entire universe of soil and test it. So you take enough samples to characterize the mass and plug it into a model.</p><p></p><p>If that data that you plug into the model is not representative, then the model predictions will suffer. However, models have a threshold level. They can overcome a percentage of bad data.</p></blockquote><p></p>
[QUOTE="Bright Raven, post: 1582652, member: 27490"] There are good models and bad models. Models are the only science that works when every member of a set of subjects cannot be measured. For example, if you are sampling for lead levels in soil, you cannot take the entire universe of soil and test it. So you take enough samples to characterize the mass and plug it into a model. If that data that you plug into the model is not representative, then the model predictions will suffer. However, models have a threshold level. They can overcome a percentage of bad data. [/QUOTE]
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