A world that is perfect "The wise men understood that this natural world is only an image and a copy of paradise. The existence of this world is simply a guarantee that there exists a world that is perfect." Paulo Coelho, The Alchemist simulation
Data Farming A Research Paper onlinelibrary.wiley.com Miners seek valuable nuggets of ore buried in the earth, but have no control over what is out there or how hard it is to extract the nuggets from their surroundings. ... Similarly, data miners seek to uncover valuable nuggets of information buried within massive amounts of data. Farmers cultivate the land to maximize their yield. They manipulate the environment to their advantage using irrigation, pest control, crop rotation, fertilizer, and more. Small-scale designed experiments let them determine whether these treatments are effective. Similarly, data farmers manipulate simulation models to their advantage, using large-scale designed experimentation to grow data from their models in a manner that easily lets them extract useful information. An information service society farmingdatasimulation
The Law of Triviality You’ve likely heard of Parkinson’s Law, which states that tasks expand to fill the amount of time allocated to them. But you might not have heard of the lesser-known Parkinson’s Law of Triviality, also coined by British naval historian and author Cyril Northcote Parkinson in the 1950s. The Law of Triviality states that the amount of time spent discussing an issue in an organization is inversely correlated to its actual importance in the scheme of things. Major, complex issues get the least discussion while simple, minor ones get the most discussion.
The observer effect In biology, when researchers want to observe animals in their natural habitat, it is paramount that they find a way to do so without disturbing those animals. Otherwise, the behavior they see is unlikely to be natural, because most animals (including humans) change their behavior when they are being observed. The Spoken and the Unspoken uxethnography