This acronym is traditionally associated with the conversion of information to knowledge. It is used primarily to call attention to the fact that computers will unquestioningly process the most nonsensical of input data (“garbage in”) and produce nonsensical output (“garbage out”).
However, are there other occasions when this phrase could also make sense? For example, in the world of healthy eating or unhealthy eating to be more specific, it is clearly a case of GIGO. For example, The consumption of excess food will generally result in the increase of body weight. What about general fitness, again GIGO. No exercise, poor performance of heart and lungs.
And parallels can be made with any system/process where there are inputs and outputs, clearly if the inputs are substandard, then unquestionably, the outputs will suffer too. This principle is useful in terms of design and use of a given system.
It is also important when trying to optimise or improve the performance of a system. Perhaps there is nothing wrong with the “engine” (system), but the poor “fuel” (input) is causing reduced “power” (output)?
It is highly interesting and potentially incredibly valuable to take a proven principle in one field and apply to it a completely different field. I hope to provide more of these crossover principles over time.