Dark Data. A Practical Guide to Making the Right Decisions in a World of Missing Data
Humanity has learned to collect, process, and use vast amounts of data in science, business, and everyday life. But what to do with the data we do not have? Is it permissible to ignore what we do not notice? British statistician...
David Hand believes that this is at least shortsighted and sometimes extremely dangerous. In his book, he highlights 15 types of data that influence our decisions and actions, which remain in the shadows. For example, he discusses the signals of distress that residents of impoverished areas might send if they had smartphones, the results of medical studies that were deliberately concealed or accidentally distorted, or data that became dark due to poor criteria for inclusion in the sample. Hand also explains what measures can mitigate the effect of dark data and how they can be turned to our advantage.
Humanity has learned to collect, process, and use vast amounts of data in science, business, and everyday life. But what to do with the data we do not have? Is it permissible to ignore what we do not notice? British statistician David Hand believes that this is at least shortsighted and sometimes extremely dangerous. In his book, he highlights 15 types of data that influence our decisions and actions, which remain in the shadows. For example, he discusses the signals of distress that residents of impoverished areas might send if they had smartphones, the results of medical studies that were deliberately concealed or accidentally distorted, or data that became dark due to poor criteria for inclusion in the sample. Hand also explains what measures can mitigate the effect of dark data and how they can be turned to our advantage.
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