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The scientific story of first impressions-and why the snap character judgments we make from faces are irresistible but usually incorrectWe make up our minds about others after seeing their faces for a fraction of a second-and these snap judgments predict all kinds of important decisions. For example, politicians who simply look more competent are more likely to win elections. Yet the character judgments we make from faces are as inaccurate as they are irresistible; in most situations, we would guess more accurately if we ignored faces. So why do we put so much stock in these widely shared impressions? What is their purpose if they are completely unreliable? In this book, Alexander Todorov, one of the world's leading researchers on the subject, answers these questions as he tells the story of the modern science of first impressions.Drawing on psychology, cognitive science, neuroscience, computer science, and other fields, this accessible and richly illustrated book describes cutting-edge research and puts it in the context of the history of efforts to read personality from faces. Todorov describes how we have evolved the ability to read basic social signals and momentary emotional states from faces, using a network of brain regions dedicated to the processing of faces. Yet contrary to the nineteenth-century pseudoscience of physiognomy and even some of today's psychologists, faces don't provide us a map to the personalities of others. Rather, the impressions we draw from faces reveal a map of our own biases and stereotypes.A fascinating scientific account of first impressions, Face Value explains why we pay so much attention to faces, why they lead us astray, and what our judgments actually tell us.
Follow the quality engineering journey of the Creditcoin blockchain across four distinct implementation versions and a myriad of technologies. Through the eyes of a test engineer, this book discusses testing implementations with the Hyperledger Sawtooth and Substrate frameworks, testing switch from proof-of-work to proof-of-stake consensus algorithm, and testing an Ethereum Virtual Machine compatibility layer.You'll traverse several years of fast-paced multiple blockchain implementations and technological changes including an explanation of all major components involved, and the approach taken. You'll also look at examples of test automation approaches and tools, interesting bugs, and testing challenges.Most everything discussed in Testing the Creditcoin Blockchain is open source, ensuring easy access, and multiple references to source code and GitHub are included throughout.You will: Study the many of the components of a distributed blockchain network. See how components work and where testing can be plugged into a distributed blockchain network environment. Glimpse into the daily blockchain testing activities of a principal test engineer. Become familiar with a fast-paced technical software development project. Takes a deep dive into .NET memory management.
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