Ian Schrager, Marcus Aurelius, Supreme, Kith, Rick Rubin, Kanye West, Soulcycle, Ikea, Sweetgreen, The Wu-Tang Clan, Danny Meyer, Tracy Chapman, Warren Buffett, Walt Disney, Jack's Wife Freda, Starbucks, A24, Picasso, In-N-Out Burger, intel, Tom Brady, Mission Chinese, Nike, Masayoshi Takayama, Oprah, the Baal Shem Tov. What do they all have in common? They have discovered their purpose and unlocked their creative potential. We have been born into a time when all the tools to make our dreams a reality are available and, for the most part, affordable. We have the freedom to manifest our truth, pursue our own path, and along the way discover our best selves. Whether as individuals or as part of a group, we can't be held back by anything except knowledge. The Age of Ideas provides that knowledge. It takes the reader on an incredible journey into a world of self-discovery, personal fulfillment, and modern entrepreneurship. The book starts by explaining how the world has shifted into this new paradigm and then outlines a step-by-step framework to turn your inner purpose and ideas into an empowered existence. Your ideas have more power than ever before, and when you understand how to manifest and share those ideas, you will be on the road to making an impact in ways you never before imagined. Welcome to the Age of Ideas.

This is the eBook version of the printed book. If the print book includes a CD-ROM, this content is not included within the eBook version. We tend to be somewhat risk averse as a species. We are systematic and logical, which sometimes makes us overcautious. Sure, look a decision squarely in the face. Consider it from every angle, but also focus on the intangibles that might be harder to place into a systematic equation of risks and returns. After you've done a careful analysis, step back. Maybe the crazy decision is the right one. Don't underestimate the power of deciding boldly. These essential truths help you to learn the brave way to make complex and critical decisions.

SOCIOLOGY: FAMILY & RELATIONSHIPS. NO MORE GAMES. IT'S TIME FOR THE TRUTH. Neil Strauss made a name for himself advocating freedom, sex and opportunity as the author of The Game. Then he met the woman who forced him to question everything. Neil's search for answers took him from Viagra-laden free-love orgies to sex addiction clinics, from cutting-edge science labs to modern-day harems, and, most terrifying of all, to his own mother. What he discovered changed everything he knew about love, sex, relationships and, ultimately, himself. The Truth may have the same effect on you.

This brief book takes readers to the very heart of what it is that philosophy can do well. Completed shortly before Donald Davidson's death at 85, Truth and Predication brings full circle a journey moving from the insights of Plato and Aristotle to the problems of contemporary philosophy. In particular, Davidson, countering many of his contemporaries, argues that the concept of truth is not ambiguous, and that we need an effective theory of truth in order to live well. Davidson begins by harking back to an early interest in the classics, and an even earlier engagement with the workings of grammar; in the pleasures of diagramming sentences in grade school, he locates his first glimpse into the mechanics of how we conduct the most important activities in our life--such as declaring love, asking directions, issuing orders, and telling stories. Davidson connects these essential questions with the most basic and yet hard to understand mysteries of language use--how we connect noun to verb. This is a problem that Plato and Aristotle wrestled with, and Davidson draws on their thinking to show how an understanding of linguistic behavior is critical to the formulating of a workable concept of truth. Anchored in classical philosophy, Truth and Predication nonetheless makes telling use of the work of a great number of modern philosophers from Tarski and Dewey to Quine and Rorty. Representing the very best of Western thought, it reopens the most difficult and pressing of ancient philosophical problems, and reveals them to be very much of our day.

In this thought-provoking book, you’ll find timeless questions explored through a fresh lens. First delving into the profound significance of Socrates’ dialogical method and the inescapable nature of conflict, it ponders the rational capacities of humanity in terms of establishing harmonious communities. But this isn’t merely a philosophical debate; it’s a pragmatic exploration of real-world challenges. No longer limiting itself to abstract theories, the book then seeks to navigate the practical terrain of science and politics. Drawing inspiration from Aristotle, renowned for his investigations into the intricate connections between theory, technology, ethics, and politics, it tackles the essential question: How can we reconcile divergent views? At the book’s core lies Aristotle’s revolutionary concept of dialogue, which portrays truth as a delicate equilibrium between opposing forces, transcending the rigid boundaries of true and false. Join this captivating journey as the author reveals the hidden paths to meaningful coexistence in a world filled with conflicting perspectives.

This book focuses on important decision points and evidence needed for making decisions at these points during the development of a new drug. It takes a holistic approach towards drug development by incorporating explicitly knowledge learned from the earlier part of the development and available historical information into decisions at later stages. In addition, the book shares lessons learned from several select examples published in the literature since the publication of the first edition. The second edition reiterates the need for making evidence-based Go/No Go decisions in drug development discussed in the first edition. It substantially expands several topics that have seen great advances since the publication of the first edition. The most noticeable additions include three adaptive trials conducted in recent years that offer excellent learning opportunities, the use of historical data in the design and analysis of clinical trials, and extending decision criteria to the cases when the primary endpoint is binary. The examples used to illustrate the additional materials all come from real trials with some post-trial reflections offered by the authors. The book begins with an overview of product development and regulatory approval pathways. It then discusses how to incorporate prior knowledge into study design and decision making at different stages of drug development. Prior knowledge includes information pertaining to historical controls. To assist decision making, the book discusses appropriate metrics and the formulation of go/no-go decisions for progressing a drug candidate to the next development stage. Using the concept of the positive predictive value in the field of diagnostics, the book leads readers to the assessment of the probability that an investigational product is effective given positive study outcomes. Lastly, the book points out common mistakes made by drug developers under the current drug-development paradigm. The book offers useful insights to statisticians, clinicians, regulatory affairs managers and decision-makers in the pharmaceutical industry who have a basic understanding of the drug-development process and the clinical trials conducted to support drug-marketing authorization. The authors provide software codes for select analytical approaches discussed in the book. The book includes enough technical details to allow statisticians to replicate the quantitative illustrations so that they can generate information to facilitate decision-making themselves.

This innovative textbook teaches the basics of drug information, literature evaluation, and biostatistics, and relates these topics to evidence-based pharmaceutical care. Readers will learn what to look for in studies, how to critique them, and how to apply them in clinical pharmacy practice. A major focus is critical appraisal of evidence derived from different types of studies—cases, cohorts, surveys, randomized controlled clinical trials, pharmacoeconomic studies, and systematic reviews. Concluding chapters discuss clinical decision-making using evidence from studies.

This book presents the most complete set of analytical, normative, and historical discussions of majority decision making to date. One chapter critically addresses the social-choice approach to majority decisions, whereas another presents an alternative to that approach. Extensive case studies discuss majority voting in the choice of religion in early modern Switzerland, majority voting in nested assemblies such as the French Estates-General and the Federal Convention, majority voting in federally organized countries, qualified majority voting in the European Union Council of Ministers, and majority voting on juries. Other chapters address the relation between majority decisions and cognitive diversity, the causal origin of majority decisions, and the pathologies of majority decision making. Two chapters, finally, discuss the counter-majoritarian role of courts that exercise judicial review. The editorial Introduction surveys conceptual, causal, and normative issues that arise in the theory and practice of majority decisions.

Statistical Concepts—A First Course presents the first 10 chapters from An Introduction to Statistical Concepts, Fourth Edition. Designed for first and lower-level statistics courses, this book communicates a conceptual, intuitive understanding of statistics that does not assume extensive or recent training in mathematics and only requires a rudimentary knowledge of algebra. Covering the most basic statistical concepts, this book is designed to help readers really understand statistical concepts, in what situations they can be applied, and how to apply them to data. Specifically, the text covers basic descriptive statistics, including ways of representing data graphically, statistical measures that describe a set of data, the normal distribution and other types of standard scores, and an introduction to probability and sampling. The remainder of the text covers various inferential tests, including those involving tests of means (e.g., t tests), proportions, variances, and correlations. Providing accessible and comprehensive coverage of topics suitable for an undergraduate or graduate course in statistics, this book is an invaluable resource for students undertaking an introductory course in statistics in any number of social science and behavioral science disciplines.