- Jan 2025
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three simplifying strategies
for - three simplifying strategies
three simplifying strategies - MATHEMATICS / QUANTIFICATION - counting - When you count a series of objects, there is an underlying assumption of a simplification and abstraction of reality that eliminates all the variability that is present in real systems in nature - This is especially true in biology - To count "objects you are making the assumption that the similarities between them are what matters and you can ignore the differences that are usually there - So in applying the most basic ideas of mathematics, counting, we are already making a big assumption that abstracts away a lot of natural variability - statistics - once again, a lot of variability is simply bypassed - - - REDUCTION - studying a part of a living system in isolation of the living system - in vitro instead of - in vivo - We reduce the number of natural variables by restricting to an artificial lab environment - Processes can work well within the non-natural, highly constrained test environment but the results may not match with the same process in the natural environment when all the natural variability is present - ANALOGIES / METAPHORS
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