Signal-to-noise ratio: Difference between revisions

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Complexity, by contrast, describes the ''limits'' of the [[paradigm]]. [[Complexity]] is the the wilderness beyond the rules of the game. [[Complexity]] is is the noise, not the signal. In a complex environment the rules do not work. This is why my physical sciences apparently have a greater success rate than social sciences: physical sciences generally address the Gaussian behaviour of independent events — that is to say, they explain [[complication]]; social sciences have to deal with the inherently complex, non-Gaussian interactions between human beings.<ref>physical sciences such as physics set up hermeneutic systems within which their rules will work, and often these systems are are dramatically simplified: Newton for example assumes a frictionless, stationery, stable, neutral frame of reference: circumstances which, in in any observed environment, simply do not exist. That's variances between Newton's prediction and and observed outcome can be explained not by falsification but as “contaminations” of the ideal experimental conditions. Hence, the proverbial [[crisp packet blowing across St Mark’s Square]].</ref>
Complexity, by contrast, describes the ''limits'' of the [[paradigm]]. [[Complexity]] is the the wilderness beyond the rules of the game. [[Complexity]] is is the noise, not the signal. In a complex environment the rules do not work. This is why my physical sciences apparently have a greater success rate than social sciences: physical sciences generally address the Gaussian behaviour of independent events — that is to say, they explain [[complication]]; social sciences have to deal with the inherently complex, non-Gaussian interactions between human beings.<ref>physical sciences such as physics set up hermeneutic systems within which their rules will work, and often these systems are are dramatically simplified: Newton for example assumes a frictionless, stationery, stable, neutral frame of reference: circumstances which, in in any observed environment, simply do not exist. That's variances between Newton's prediction and and observed outcome can be explained not by falsification but as “contaminations” of the ideal experimental conditions. Hence, the proverbial [[crisp packet blowing across St Mark’s Square]].</ref>
{{Sa}}
*[[nomological machine]]
*[[Complexity]]
*[[Systems theory]]
{{ref}}