Humanity has learned to collect, process and use huge amounts of data in science, business and everyday life. But what to do with the data we don't have? Is it acceptable to ignore what we don't notice? British statistician David Hand says this is short-sighted to say the least and, at times, extremely dangerous. In his book, he identifies 15 types of data that influence our decisions and actions and remain in the shadows. For example, this includes taking into account the distress calls that people in poor neighborhoods might make if they had smartphones, the results of a medical study that were deliberately withheld or accidentally distorted, or data that became “murky” due to a poor set of criteria for inclusion. to the sample. Hand also talks about what measures can mitigate the effect of dark data and how you can turn it to your advantage. The book will be of interest to a wide range of readers interested in data science, programming and statistics.